System, method, apparatus and diagnostic test for <i>Plasmodium vivax</i>

Abstract

A system, method, apparatus and diagnostic test for Plasmodium vivax, to determine a likelihood of a specific timing of infection by P. vivax in a subject, and hence identify individuals with a high probability of being infected with otherwise undetectable liver-stage hypnozoites. The system, method, apparatus and diagnostic test relate to the identification of hypnozoites (“dormant” liver-stages), or at least of the likelihood of the subject being so infected. Optionally and preferably, the specific timing relates to recent infections, for example within the last 9 months.

Claims

1. A diagnostic test for Plasmodium vivax or Plasmodium ovale, to determine a likelihood of a specific timing of infection by P. vivax or P. ovale in a subject by determining a level of antibodies to a plurality of antigens in a blood sample from the subject, wherein the level is measured of antibody to protein selected from at least one of RBP2b (P25) (PVX_094255) (SEQ ID NO:61) or PVX_099980 (L01) (SEQ ID NO:1) and of at least one antibody to a protein selected from the group consisting of PVX_112670 (SEQ ID NO:23), PVX_087885 (SEQ ID NO:45), PVX_096995 (SEQ ID NO:3), PVX_097625 (SEQ ID NO:67) and PVX_000930 (SEQ ID NO:109), wherein the level of antibody is correlated with the time since infection.

2. The test of claim 1, the level is measured of antibody to protein RBP2b (P25) (PVX_094255) (SEQ ID NO:61) and PVX_099980 (L01) (SEQ ID NO:1) and of antibody to at least one protein selected from the group consisting of PVX_112670 (SEQ ID NO:23), PVX_087885 (SEQ ID NO:45), PVX_096995 (SEQ ID NO:3), PVX_097625 (SEQ ID NO:67), PVX_000930 (SEQ ID NO:109), PVX_084720 (SEQ ID NO:35) and PVX_003770 (SEQ ID NO:37).

3. The test of claim 2, wherein the level is measured of antibody to protein RBP2b (P25) (PVX_094255) (SEQ ID NO:61) and PVX_099980 (L01) (SEQ ID NO:1) and of antibody to at least two proteins selected from the group consisting of PVX_112670 (SEQ ID NO:23), PVX_087885 (SEQ ID NO:45), PVX_096995 (SEQ ID NO:3), PVX_097625 (SEQ ID NO:67), PVX_000930 (SEQ ID NO:109), PVX_084720 (SEQ ID NO:35) and PVX_003770 (SEQ ID NO:37).

4. The test of claim 1, wherein a model of the decay of antibody titers over time is used to determine the time since last infection.

5. The test of claim 4, comprising determining a level of 2 to 8 antibodies.

6. The test of claim 1, wherein the level of antibodies is measured at a plurality of time points.

7. The test of claim 1, wherein antibody levels are measured in the subject and time since infection is estimated continuously, wherein antibody level is compared with a titration curve to provide an estimate of antibody titer.

8. The test of claim 7, wherein antibody levels are measured according to a method selected from the group consisting of bead-based assays, the enzyme linked immuosorbent assay (ELISA), protein microarrays and the luminescence immunoprecipitation system (LIPS).

9. A method for diagnosis of P. vivax, comprising performing the diagnostic test of claim 1, wherein the level of antibody and the timing of infection identifies individuals with a high probability of being infected with liver-stage hypnozoites.

10. The test of claim 1, wherein said specific timing identifies whether and when to an infection occurred within an elapsed time period of 0 to 12 months.

11. The test of claim 10, wherein said time period is differentiated by month, by week, or by day.

12. The test of claim 10, wherein a particular time period is determined as a binary decision of a more recent or an older infection, with each time point as a cut-off.

13. The test of claim 12, wherein said cut off determines whether an infection in a subject was within the past 9 months or later than the past 9 months.

14. The test of claim 1, comprising further determining an estimate of the time since last P. vivax blood-stage infection according to the time since last PCR-detectable blood-stage parasitemia, or as the time since last infective mosquito bite.

15. The test of claim 14 comprising determining a frequency of infections during a particular time period and/or time since last infection.

16. The test of claim 1 for detecting an asymptomatic infection by P. vivax.

17. The test of claim 1 for detecting a dormant infection, wherein the level of antibody indicates P. vivax is present in the liver but is not present at significant levels in the blood.

18. The test of claim 1 for detecting antibodies to malarial proteins that are present in the blood wherein the level of antibody and the timing of infection indicate a high degree of probability of liver-stage infection.

19. The test of claim 1 wherein the level of antibody and the timing of infection provides for determining progression of infection by P. vivax in a population of a plurality of subjects.

20. The test of claim 1 wherein the level of antibody and the timing of infection provides for determining whether the infection is starting or whether the infection has reached a peak in terms of exposure of individuals who are naïve to the particular strain of P. vivax causing the infection.

21. The test of claim 1 for measuring antibodies in the blood of the subject at a plurality of time points to determine decay in the level of each antibody in the blood; and fitting such decay to a suitable model to determine at least one infection parameter selected from probability of liver-stage infection, determination of the progression of infection, and rate of propagation of the Plasmodium species in a population.

22. The test of claim 21, wherein decay in the level of a plurality of different antibodies is determined and the different antibodies are selected to have a range of different half-lives.

23. The test of claim 21, wherein from two up to twenty different antibodies are measured.

24. The test of claim 1, wherein a model for determining at least one parameter about the infection in the subject is selected from the group consisting of linear discriminant analysis (LDA), quadratic discriminant analysis (QDA), combined antibody dynamics (CAD), decision trees, random forests, boosted trees and modified decision trees.

25. The test of claim 1, wherein the level is measured of a plurality of antibodies that bind to proteins from the group consisting of PVX_099980 (L01) (SEQ ID NO:1), PVX_112670 (SEQ ID NO:23), PVX_087885 (SEQ ID NO:45), PVX_096995 (SEQ ID NO:3), RMP2b (PVX_094255) (SEQ ID NO:61), PVX_097625 (SEQ ID NO:67), PVX_000930 (SEQ ID NO:109), PVX_084720 (SEQ ID NO:35) and PVX_003770 (SEQ ID NO:37).

Description

BRIEF DESCRIPTION OF THE DRAWINGS

(1) FIG. 1 shows a background art description of the lifecycle of P. vivax (see Mueller, I. et al. Key gaps in the knowledge of Plasmodium vivax, a neglected human malaria parasite. Lancet Infectious Diseases 9, 555-566 (2009)).

(2) FIG. 2 shows a method for data processing and down-selection of candidate serological markers.

(3) FIG. 3 shows an example of two differing antibody kinetic profiles. Antibody responses at the four time-points measured in the AlphaScreen® assay are shown for two proteins, PVX_099980 and PVX_122680. An arbitrary positivity cut-off is marked at 0.94 (the average of the wheat germ extract control well +6× standard deviation). Data is generated from 32 individuals in Thailand.

(4) FIG. 4 shows characteristics of the top 55 protein constructs. (A) Length of the estimated antibody half-lives, note for 4 proteins the classification was different between Thailand and Brazil. (B)-(F) Details of protein characteristics as determined by PlasmoDB release 25 or published literature: (B) predicted expression stage, (C) presence of a signal peptide sequence, (D) presence of transmembrane domain/s, (E) presence of a GPI anchor, (F) annotation. TM=transmembrane domains, MSPs=merozoite surface proteins, RBPs=reticulocyte binding proteins.

(5) FIG. 5 shows correlation between antibody measurements in Thailand and Brazil. Correlation of data from the antigen discovery study generated using the AlphaScreen® assay. Correlations are shown for the 55 down-selected candidate serological markers. (A) Comparison of the proportion of individuals defined as positive at time of P. vivax infection (antibody value above the lower point of the standard curve, i.e. 0). (B) Comparison of the geometric mean antibody titers (GMT). (C) Comparison of the estimated antibody half-lives. Spearman correlation coefficients, r, are shown. Data was generated from 32 individuals in Thailand and 33 in Brazil.

(6) FIG. 6A shows optimization of Luminex® bead-array assay for the first 17 proteins. Log-linear standard curves were achieved for all proteins, using the amounts of protein shown for one bulk reaction of 500 μl beads.

(7) FIGS. 6B-6F show additional development and optimization of the Luminex bead-array assay for all 65 proteins assessed in the validation study as follows. FIG. 6B shows 40 down-selected proteins. FIG. 6C shows the remaining 25 proteins. Log-linear standard curves were achieved for all proteins. The amount of protein for one bulk reaction of 500 ul beads is shown in FIG. 6D, with the line indicating the median (1 and 1.08 ug, respectively). FIG. 6E provides a key to FIG. 6B. FIG. 6F provides a key to FIG. 6C.

(8) FIG. 7 shows the association of antibody levels with current P. vivax infections in the Thai validation cohort. Antibody responses were measured at the last time-point of the Thai cohort against the first 17 proteins assessed, using the Luminex® bead-array assay. The association between antibody responses and current infection was assessed using a logistic regression model, adjusting for age, sex and occupation. Odds ratios are shown, with 95% confidence intervals. Associations for all antibodies were significant (p<0.05). The estimate of antibody half-life shown is based on the antigen discovery dataset (AlphaScreen®).

(9) FIG. 8 shows association of antibody levels with past P. vivax exposure in the Thai validation cohort. Antibody responses were measured at the last time-point of the Thai cohort against the first 17 proteins assessed, using the Luminex® bead-array assay. The association between antibody responses and total exposure over the past year was assessed using a generalised linear model, adjusting for age, sex, occupation and current infection status. Exponentiated coefficients are shown, with 95% confidence intervals. Associations for all antibodies, except PVX_09070, were significant (p<0.05). The estimate of antibody half-life shown is based on the antigen discovery dataset (AlphaScreen®).

(10) FIG. 9 shows the association of antibody levels with current P. vivax infections in the Brazilian validation cohort. Antibody responses were measured at the last time-point of the Brazilian cohort against the first 17 proteins assessed, using the Luminex® bead-array assay. The association between antibody responses and current infection was assessed using a logistic regression model, adjusting for age, sex and occupation. Odds ratios are shown, with 95% confidence intervals. Associations for all antibodies, except PVX_088860, were significant (p<0.05). The estimate of antibody half-life shown is based on the antigen discovery dataset (AlphaScreen®).

(11) FIG. 10 shows the association of antibody levels with past P. vivax exposure in the Brazilian validation cohort. Antibody responses were measured at the last time-point of the Brazilian cohort against the first 17 proteins assessed, using the Luminex® bead-array assay. The association between antibody responses and total exposure over the past year was assessed using a generalised linear model, adjusting for age, sex, occupation and current infection status. Exponentiated coefficients are shown, with 95% confidence intervals. Associations for 10 of the 17 antibodies were significant (p<0.05). The estimate of antibody half-life shown is based on the antigen discovery dataset (AlphaScreen®).

(12) FIG. 11 shows longitudinal antibody dynamics of 4 antigens from 8 Thai participants in the antigen discovery cohort. For each blood sample antibody titers were measured in triplicate, using the AlphaScreen® assay. Each colour corresponds to antibodies to a different antigen. The lines represent the fit of the mixed-effects regression model described below.

(13) FIG. 12 shows the relationship between antibody titers to 8 P. vivax antigens and time since last PCR-detectable in individuals from a malaria-endemic region of Thailand (validation study, antibodies measured via Luminex® bead-array assay). The grey bars denote individuals with current infection (n=25); infection within the last 9 months (n=47); infection 9-14 months ago (n=25); and no infection detected within the last 14 months (n=732). The orange bars show the antibody titers from three different panels of negative controls.

(14) FIG. 13 presents the association between measured antibody titer x.sub.ik and time since infection t. (a) There are three sources of variation in the antibody titer x.sub.ik measured at time t since last infection: (i) variation in initial antibody titer; (ii) between individual variation in antibody decay rate; and (iii) measurement error. (b) Given estimates of the sources of variation, we can estimate the distribution of the time since last infection. The maximum likelihood estimate and the 95% confidence intervals of our estimate are indicated in blue.

(15) FIG. 14 shows the dynamics of multiple antibodies. The variance in initial antibody titer, antibody decay rates and measurement error are now described by covariance matrices, which account for the correlations between antibodies.

(16) FIG. 15 shows an example of QDA classification for participants from the Thai validation cohort. Antibody measurements were made using the Luminex® bead-array assay. Each point corresponds to a measurement from a single individual with log(anti-L01 antibody titer) on the x-axis and log(anti-L22 antibody titer) on the y-axis. The blue ellipse represents the multivariate Gaussian fitted to data from individuals with ‘old’ infections and the red ellipse represents the multivariate Gaussion fitted to data from individuals with ‘new’ infections. The dashed lack line represents the boundary for classifying individuals according to whether or not they have had a recent infection.

(17) FIG. 16 shows receiver operator characteristic (ROC) curves estimated via cross-validation for LDA (blue) and QDA (black) classification algorithms, using the Thai validation data measured via the Luminex® bead-array assay.

(18) FIG. 17 shows an example of a decision tree for classifying old versus new infections using measurements of antibodies to 6 P. vivax antigens, using the Thai validation data measured via the Luminex® bead-array assay.

(19) FIG. 18 shows ROC curve demonstrating the association between sensitivity and specificity for a decision tree algorithm, using the Thai validation data measured via the Luminex® bead-array assay. These curves have been generated through cross-validation by splitting the data into training and testing sets. The algorithm is formulated using the training data set and the sensitivity and specificity evaluated on the testing data set. The colours correspond to different subsets of antigens. Notably, we can obtain nearly 80% sensitivity with specificity >95%.

(20) FIG. 19 shows a random forest variable importance plot of the contribution of antibodies to 17 antigens towards correct classification of infections into ‘new’ versus ‘old’, using the Thai validation data measured via the Luminex® bead-array assay. Antigens with greater values of ‘MeanDecreaseAccuracy’ are considered the most informative. Therefore L01 provides the most information for classification purposes.

(21) FIG. 20 shows an example of antigen down-selection using the simulated annealing algorithm. Data comes from the antigen discovery study using the AlphaScreen® assay. (A) Including additional antigens increases the likelihood that infection times will be correctly classified, but with diminishing returns. (B) Each column of the heatmap denotes one of K=98 antigens. The y-axis denotes the maximum number of antigens that can be included in a panel. Red antigens are more likely to be included in a panel of a given size. (C) Example of predicting time since last infection in 4 individuals using a panel of 15 antigens. The vertical dashed line at 6 months represents an infection occurring 6 months ago. The solid black curve denotes the estimated distribution of the time since last infection. The green point denotes the maximum likelihood estimate of the model, and the vertical green bars denote the 95% confidence intervals. The red, shaded area denotes infection within the last 9 months. If more than 50% of the probability mass of the distribution is in this region, then the infection will be classified as having occurred within the last 9 months.

(22) FIG. 21 shows comparison of age-stratified prevalence of PCR detectable blood-stage infection within the last 9 months;

(23) FIG. 22 shows measured antibody titers to four P. vivax antigens from Thailand, Brazil and the Solomon Islands, and from three panels of negative controls. The box plots show the median, interquartile range and 95% range of measured antibody titers. The horizontal dashed lines represent the lower and upper limits of detection;

(24) FIGS. 23A-23C show an overview of cross-validated random forests classification algorithms. The classifiers were trained on data from either Thailand, Brazil or The Solomon Islands; and

(25) FIG. 24 shows an exemplary network visualization of combinations of 4 antigens. The size of the node represents the probability that an antigen appears in the best performing combinations. The width and darkness of the edges represents the probability that two antigens are selected together in the best performing combinations. Red denotes proteins purified at high yield by CellFree Sciences (the 40 down selected proteins, the results for which are shown in FIG. 6B). Blue denotes vaccine candidate antigens. Green denotes proteins expressed in wheat-germ by Ehime University. Blue and green proteins are the 25 additional proteins, the results for which are shown in FIG. 6C.

(26) FIG. 25 shows cross-validated Receiver Operating Characteristic (ROC) curves from linear discriminant analysis (LDA) classifiers trained and tested using combinations of four antigens from Thailand, Brazil and The Solomon Islands.

DESCRIPTION OF AT LEAST SOME EMBODIMENTS

(27) The present invention, in at least some embodiments, is of a system, method, apparatus and diagnostic test for at least Plasmodium vivax, and optionally other species such as P. ovale, to determine a likelihood of a concurrent or the specific timing of a recent past infection by P. vivax in a subject, and hence identify individuals with a high probability of being infected with otherwise undetectable liver-stage hypnozoites. According to at least some embodiments, the system, method, apparatus and diagnostic test relate to the identification of hypnozoites (“dormant” liver-stages), or at least of the likelihood of the subject being so infected. Optionally and preferably, the specific timing relates to recent infections, for example within the last 9 months. Without wishing to be limited by a closed list, the present invention is able to identify such recent infections, and not just current infections.

(28) According to at least some embodiments, the antibody measurements may optionally be used to provide an estimation of elapsed time since last infection. An estimate of the time since last P. vivax blood-stage infection—depending on the available calibration data, the time since last infection can be defined either as the time since last PCR-detectable blood-stage parasitemia, or as the time since last infected mosquito bite. Time since last infection can be estimated continuously or categorically. Concurrent estimation of uncertainty will be important.

(29) According to at least some embodiments, the antibody measurements may optionally be used to provide a determination of medium-term serological exposure, for example a frequency of infections during a particular time period and/or time since last infection.

(30) According to at least some embodiments, there is provided a system, method, apparatus and diagnostic test for detection of a “silent” (asymptomatic or presymptomatic) infection by P. vivax.

(31) Protein Nomenclature

(32) Throughout the below experiments, simplified names have been used for the proteins assessed. In the antigen discovery experiments using the AlphaScreen® assay, 342 proteins were assessed. These proteins were given codes consisting of single letters followed by 2 numbers in most instances, and on occasion 3 numbers.

(33) In the validation experiments using the multiplexed assay (Luminex® technology), 40 proteins (out of the 53 potential candidates down-selected) were assessed. These proteins have been given codes beginning with ‘L’ followed by 2 numbers. These proteins were supplemented by an additional 25 proteins expressed in a variety of systems. These proteins have been given codes beginning with ‘V’ or ‘X’ followed by 2 numbers. The codes used for the tested candidates are outlined below, as well as in Appendix II, in reference to their PlasmoDB gene ID (plasmodb.org).

(34) TABLE-US-00003 PlasmoDB ID AlphaScreen Luminex PVX_099980 D10 L01 PVX_096995 J12 L02 PVX_088860 L19 L03 PVX_097715 N17 L07 PVX_112680 K21 L06 PVX_094830 N13 L10 PVX_112675 B19 L11 PVX_112670 G21 L12 PVX_101530 D21 L05 PVX_090970 E10 L14 PVX_084720 B8 L18 PVX_003770 P17 L19 PVX_092990 H14 L20 PVX_112690 K10 L21 PVX_091710 F13 L22 PVX_087885 N9 L23 PVX_003555 O21 L24

(35) A complete list of all sequences considered, plus the sequences themselves, may be found in Appendices I and II combined. These sequences include the reference to the amino acid and nucleic acid sequence records of the relevant antigens, plus actual sequences generated for testing. The actual amino acid sequences generated for testing include a methionine at the start (N-terminus) and a His-tag at the end (C-terminus) as non-limiting examples only. The nucleic acid sequences so generated correspond to these amino acid sequences. It should be noted that the sequences listed are intended as non-limiting examples only, as different sequences and/or different antigens may optionally be used with the present invention, additionally or alternatively. The amino acid sequences for the specific proteins referred to herein may optionally be obtained from Uniprot or another suitable protein database.

Example 1—Testing of Antigens

(36) This non-limiting Example relates to testing of antibody responses to various P. vivax proteins, present in the blood, as potential antigens for a diagnostic test.

(37) Materials and Methods

(38) Ethics Statement.

(39) The relevant local ethics committees approved all field studies and all patients gave informed consent or assent. The Ethics Committee of the Faculty of Tropical Medicine, Mahidol University, Thailand approved the Thai antigen discovery and validation studies (MUTM 2014-025-01 and 02, and MUTM 2013-027-01, respectively). The Ethics Review Board of the Fundação de Medicina Tropical Dr. Heitor Vieira Dourado (FMT-HVD) (957.875/2014) approved the Brazilian antigen discovery study. The samples used from Brazil for the validation study were approved by the FMT-HVD (51536/2012), by the Brazilian National Committee of Ethics (CONEP) (349.211/2013) and by the Ethics Committee of the Hospital Clinic, Barcelona, Spain (2012/7306). The National Health Research and Ethics Committee of the Solomon Islands Ministry of Health and Medical Services (HRC12/022) approved collection of the samples used from the Solomon Islands for the validation study. The Human Research Ethics Committee at WEHI approved samples for use in Melbourne (#14/02).

(40) Field Sites and Sample Collection: Antigen Discovery Study.

(41) Samples from two longitudinal cohorts, located in Thailand and Brazil, were used for the antigen discovery studies. The longitudinal study in Thailand was conducted from April 2014 to September 2015, as previously described (Longley et al., Am J Trop Med Hyg. 2016 Nov. 2; 95(5):1086-1089). Briefly, 57 symptomatic P. vivax patients were enrolled from either the Tha Song Yang malaria clinic or hospital. Patients with glucose-6-phosphate dehydrogenase (G6PD) deficiency and those aged younger than 7 years or more than 80 years were excluded. Patients were treated with chloroquine (25 mg base/kg body weight, administered over 3 days) and primaquine (15 mg daily, for 14 days) according to the standard Thai treatment regimen. Anti-malarial drugs were given under directly-observed treatment in order to reduce the likelihood of treatment failure and the presence of recurrent infections during follow-up. Volunteers were followed for 9-months following enrolment, with finger-prick blood samples collected at enrolment and week 1, then every 2 weeks for 6 months, then every month until the end of the study. Blood was separated into packed red cells and plasma at the field site. All blood samples were analysed by both light microscopy and quantitative PCR (qPCR) for the presence of blood-stage parasites. A sub-set of volunteers, n=32, were selected for use in the antigen discovery project. These volunteers had no detectable recurrent infections during 9-months follow-up, and were the first to complete follow-up.

(42) The longitudinal study in Brazil followed the same format as in Thailand. The study was conducted from May 2014 to May 2015. 91 malaria patients at Fundação de Medicina Tropical Doutor Heitor Vieira Dourado in Manaus aged between 7 and 70 years were enrolled. Individuals with G6PD deficiency or chronic diseases were not enrolled. Patients were treated according to the guidelines of the Brazilian Ministry of Health (3 days chloroquine, 7 days primaquine). Follow-up intervals with finger-prick blood sample collection were as in the Thai study. A sub-set of volunteers, n=33, whom had no detectable recurrent infections during 9-months follow-up, were selected for use in the antigen discovery project.

(43) Field Sites and Sample Collection: Validation Study.

(44) For the validation studies, samples collected from four observational longitudinal cohort studies, conducted in Thailand, Brazil and the Solomon Islands, were used (data from the Solomon Islands not shown). Samples were collected from a cohort of volunteers every month for 1 year. Plasma samples from the final cohort time-point were used in the validation study, n=829 Thailand, n=925 Brazil, and n=751 Solomon Islands.

(45) The Thailand observational cohort was conducted from May 2013 to June 2014 in the Kanchanaburi and Ratchaburi provinces of western Thailand. The design of this study has been published (Longley et al, Clin Vaccine Immunol. 2015 Dec. 9; 23(2):117-24). Briefly, a total of 999 volunteers were enrolled (aged 1-82 years, median 23 years). Volunteers were sampled every month over the yearlong cohort, with 14 active case detection visits performed in total. A total of 609 volunteers attended all visits, with 829 attending the final visit. At each visit, volunteers completed a brief survey outlining their health over the past month (to determine the possibility of missed malarial infections), in addition to travel history and bed net usage. A finger-prick blood sample was also taken and axillary temperature recorded. Blood samples were separated into packed red blood cells, for detection of malaria parasites, and plasma, for antibody measurements, at the field sites. In addition to the monthly active case detection visits, passive case detection was also performed routinely by local malaria clinics.

(46) The Brazilian observational cohort was conducted from April 2013 to April 2014 in three neighbouring communities located on the outskirts of Manaus, Amazonas State. Briefly, a total of 1274 residents of all age groups were enrolled (range 0-102 years, median 25 years). Volunteers were sampled every month over the yearlong period, with 13 active case detection visits performed in total. At each visit a finger-prick blood sample was collected, with the exception of children aged less than one in which blood was collected from the heel or big toe. As per the Thai cohort study, at each visit body temperature was also recorded and a questionnaire undertaken outlining the participants' health, bed net usage and travel history. Passive case detection was performed routinely by local health services. Blood samples were processed as per the Thai cohort. Plasma samples from 925 volunteers were available from the final visit.

(47) The Solomon Islands observational cohort was conducted from May 2013 to May 2014 in 20 villages on the island of Ngella, Solomon Islands. 1111 children were initially enrolled, and after exclusion of children who withdrew, had inconsistent attendance or failed to meet other inclusion criteria, 860 remained (Quah & Waltmann, in preparation). The age of the children ranged from 6 months to 12 years, with a median age of 5.6 years. Over the yearlong cohort, children were visited approximately monthly, with 11 active case detection visits in total. Of the 860 children, 751 attended the final visit. At each visit, a brief survey was conducted as per the Thai cohort, temperature recorded and a finger-prick blood sample taken. Blood was separated into packed red cells for qPCR and plasma for antibody measurements. In addition to the monthly active case detection visits, local health clinics and centres also performed passive case detection routinely.

(48) Negative Control Samples: Melbourne and Thai Red Cross, Melbourne Blood Donors

(49) Three panels of control samples were collected from individuals with no known previous exposure to malaria. The first panel was collected from the Volunteer Blood Donor Registry (VBDR) at the Walter and Eliza Hall of Medical Research in Melbourne, Australia. These individuals are not screened for diseases but a record of their past travel, medical history and current drug use is recorded. 102 volunteers from the VBDR were utilized (median age 39 years, range 19-68). The second panel was collected from the Australian Red Cross (Melbourne, Australia). 100 samples were utilized (median age 52 years, range 18-77), and these individuals were screened as per the standard conditions of the Australian Red Cross. Finally, another control panel was collected from the Thai Red Cross (Bangkok, Thailand). Samples from 72 individuals were utilized, but no demographic data was available (hence the age range is unknown). Standard Thai Red Cross screening procedures exclude individuals from donating blood if they had a past malaria infection with symptoms within the last three years, and individuals who have travelled to malaria-endemic regions within the past year.

(50) All studies (antigen discovery and validation) detected malaria parasites by quantitative PCR as previously described (2, 3).

(51) Protein Expression.

(52) Proteins were preferably expressed as full-length proteins, to ensure that any possible antibody recognition site was covered. For very large proteins, fragments were expressed that together cover the entire protein. These were treated as individual constructs in the down-selection process. The proteins were first produced at a small-scale with a biotin tag for the antigen discovery study, at Ehime University. A panel of 342 P. vivax proteins were assessed, including well-known P. vivax proteins such as potential vaccine candidates (i.e. MSP1, AMA1, CSP), orthologs of immunogenic P. falciparum proteins and proteins with a predicted signal peptide (SP) and/or 1-3 transmembrane domains (TM) (4). The genes were amplified by PCR and cloned into the pEU_E01 vector with N-terminal His-b1s tag (CellFree Sciences, Matsuyama, Japan). P. vivax genes were obtained either from parent clones (4), using SAL-1 cDNA, or commercially synthesized from Genscript (Japan). The recombinant proteins were expressed without codon optimization using the wheat germ cell-free (WGCF) system as previously described (5). WGCF synthesis of the P. vivax protein library was based on the previously described bilayer diffusion system (6). For biotinylation of proteins, 500 nM D-biotin (Nacalai Tesque, Kyoto, Japan) was added to both the translation and substrate layers. Crude WGCF expressed BirA (1 μl) was added to the translation layer. In vitro transcription and cell-free protein synthesis for the P. vivax protein library were carried out using the GenDecoder 1000 robotic synthesizer (CellFree Sciences) as previously described (7, 8). Expression of the proteins was confirmed by western blot using HRP-conjugated streptavidin.

(53) Large-scale protein expression for the down-selected candidates was then performed (CellFree Sciences Tokyo, Japan). Genes were synthesized by GenScript (Japan) and the products cloned into the pEU-E01-MCS expression vector. The sequence of all gene synthesis products and their correct insertion into the expression vector was confirmed by full-length sequencing of the vector inserts. Transcription was performed utilizing SP6 RNA polymerase (80 U/μl) and the SP6 promoter in the pEU-E01-MCS expression vector. For large-scale expression, a dialysis-based refeeding assay was used, with protein expression and solubility first tested on a 50 μl scale. The test results then enabled production on a 3 ml scale (maintained for up to 72 hours, 15° C.) to produce at least 300 μg of each target protein, using the wheat germ extract WEPRO7240H. The proteins were manually purified one-time on an affinity matrix (Ni Sepharose 6 Fast Flow from GE Healthcare, Chalfont, United Kingdom) using a batch method (all proteins were expressed with a His-tag at the C terminus). The purified proteins were stored and shipped in the following buffer: 20 mM Na-phosphate pH 7.5, 0.3 M NaCl, 500 mM imidazole and 10% (v/v) glycerol. Protein yields and purity were determined using 15% SDS page followed by Coomassie Brilliant Blue staining using standard laboratory methods. In addition, proteins were also analyzed by Western Blot using an anti-His-tag antibody.

(54) An additional 25 proteins were also used in the validation study. 12 proteins were produced using the wheat-germ cell free system described above at Ehime University, and were selected based on associations with past exposure in preliminary work conducted in a PNG cohort. The remaining 13 proteins were produced using standard E. coli methods, and were selected based on their predicted high immunogenicity (due to their status as potential vaccine candidates). References can be found in Appendix II.

(55) AlphaScreen® Assay for the Antigen Discovery Study.

(56) The AlphaScreen® assay was used to measure antibody responses in the antigen discovery study. Plasma samples from the sub-set of volunteers (n=32 Thailand, n=33 Brazil) were used from four time-points, enrolment (week 0) and weeks 12, 24 and 36. Responses were measured against 342 P. vivax proteins. The assay was conducted as previously reported (9), with slight modifications. The protocol was automated by use of the JANUS Automated Workstation (PerkinElmer Life and Analytical Science, Boston, Mass.). Reactions were carried out in 25 μl of reaction volume per well in 384-well OptiPlate microtiter plates (PerkinElmer). First, 0.1 μl of the translation mixture containing a recombinant P. vivax biotinylated protein was diluted 50-fold (5 ill), mixed with 10 μl of 4000-fold diluted plasma in reaction buffer (100 mM Tris-HCL [pH 8.0], 0.01% [v/v] Tween-20 and 0.1% [w/v] bovine serum albumin), and incubated for 30 min at 26° C. to form an antigen-antibody complex. Subsequently, a 10 μl suspension of streptavidin-coated donor-beads and acceptor-beads (PerkinElmer) conjugated with protein G (Thermo Scientific, Waltham, Mass.) in the reaction buffer was added to a final concentration of 12 m/ml of both beads. The mixture was incubated at 26° C. for one hour in the dark to allow the donor and acceptor-beads to optimally bind to biotin and human IgG, respectively. Upon illumination of this complex, a luminescence signal at 620 nm was detected by the EnVision plate reader (PerkinElmer) and the result was expressed as AlphaScreen counts. A translation mixture of WGCF without template mRNA was used as a negative control. Each assay plate contained a standard curve of total biotinylated rabbit IgG. This enabled standardisation between plates using a 5-paramater logistic standard curve. All samples were run in triplicate. Reading the plates was conducted in a randomized manner to avoid biases.

(57) Multiplexed Bead-Based Assay for the Validation Study.

(58) For validation of the down-selected candidate serological markers, IgG levels were measured in plasma collected from the last time-point of the longitudinal observation studies. IgG measurements were performed using a multiplexed bead-based assay as previously described (10). In brief, 2.5×10.sup.6 COOH microspheres (Bio-Rad, USA) were prepared for protein coupling by incubation for 20 minutes at room temperature in 100 mM monobasic sodium phosphate (pH 6.2), 50 mg/ml N-Hydroxysulfosuccinimide sodium salt and 50 mg/ml N-(3-Dimethylaminopropyl)-N′-ethylcarbodiimide hydrochloride. Proteins were then added and incubated overnight at 4° C. Optimal amounts of protein were determined experimentally, in order to achieve a log-linear standard curve when using a positive control plasma pool generated from hyper-immune PNG donors. Each assay plate subsequently included this 2-fold serial dilution standard curve (1/50 to 1/25600), to enable standardisation between plates.

(59) The assay was run by incubating 50 μl of the protein-coupled microspheres (500 microspheres/well) with 50 μl test plasma (at 1/100 dilution) in 96-well multiscreen filter plates (Millipore, USA) for 30 minutes at room temperature, on a plate shaker. Plates were washed 3 times and then incubated for a further 15 minutes with the detector antibody, PE-conjugated anti-human IgG ( 1/100 dilution, Jackson ImmunoResearch, USA). The plates were once again washed and then assayed on a Luminex 200™ instrument. All median fluorescent intensity (MFI) values were converted to relative antibody unites using the plate-specific standard curve (five-parameter logistic function, as previously described in detail (10)).

(60) Statistical Modelling.

(61) The models are described in greater detail below (see Example 3).

(62) Statistical Analysis.

(63) All data manipulation and statistical analyses were performed in either R version 3.2.3 (11), Prism version 6 (GraphPad, USA) or Stata version 12.1 (StataCorp, USA).

(64) Results

(65) Down-Selection of Candidate Serological Markers.

(66) The data were processed and candidate serological markers down-selected following the pipeline shown in FIG. 2. The raw AlphaScreen data was converted based on the plate-specific standard curve, resulting in relative antibody units ranging from 0-400. Using the converted data, seropositivity was defined as a relative antibody unit greater than 0. For proteins that were defined as immunoreactive (more than 10% individuals seropositive at baseline, time of P. vivax infection), an estimated antibody half-life was determined using a mixed-effects linear regression model, described in detail below (see Statistical modelling). Using the metadata on immunoreactivity and half-life, an initial round of antigen down-selection was performed, with prioritisation of antigens that had similar estimated half-lives in both the Thai and Brazilian datasets (neither site more than double the other), high levels of seropositivity at baseline (more than 50% individuals seropositive, i.e. relative antibody units above 0), and low levels of error estimated in the model. Three rounds of initial down-selection were performed, resulting in approximately 100 antigens for the next round of model-based down-selection.

(67) The model-based down-selection was performed in two stages: first, by calculating the estimated time since last infection based on antibody levels at 0, 3, 6 and 9 months (and comparing this with the known time since infection), and second, by determining the best combination of antigens for accurately detecting the time since last infection.

(68) In more detail, FIG. 2 shows a pipeline for down-selection of candidate serological markers. As shown in the process of FIG. 2A, antigens were first down-selected based on prioritization of metadata characteristics such as similar levels of estimated antibody longevity in Thailand and Brazil, high levels of immunogenicity at the time of infection and low levels of error estimated in the model. As shown in the process of FIG. 2B, using the initial down-selected antigens, further modelling was performed to identify the optimal combination of antigens able to accurately estimate the time since last infection. A final decision on candidate serological markers was made using output from this modelling and other protein characteristics, as detailed above.

(69) As expected, different antibody kinetic profiles over 9-months were observed for different proteins (see FIG. 3 for an example). Antigen down-selection was performed as described in detail in the Materials and Methods, essentially by prioritizing antigens with high levels of immunogenicity, similar estimated half-lives between Thailand and Brazil and low levels of error estimated in the model. The initial down-selection was followed by further model-based down selection. The model-based down-selection was used to determine the ability of various proteins to predict the time since last infection, utilizing the same datasets from Thailand and Brazil, and to determine the best combination of proteins to do so successfully (see for example FIG. 20 and its accompanying description). Antigens were excluded from selection if they had less than a 40% probability of inclusion in a 40-antigen panel that was able to accurately determine the time since last infection. Remaining antigens were then ranked according to a high probability of inclusion in a successful 20-antigen panel. When required, ranking in 30 and 40-antigen panels was also considered. Antigens were excluded if they had unfavorable protein production characteristics, such as low-yield in the small-scale WGCF expression or presence of aggregates. Three rounds of selection were performed: the first resulted in 12 proteins, the second in a further 12, and the third in an additional 31 candidates. A final list of 55 protein constructs (53 unique proteins) representing candidate serological markers of recent exposure to P. vivax infection was generated (two fragments were included from two different antigens). Characteristics of these proteins are highlighted in FIG. 4.

(70) Validation of Candidate Serological Markers.

(71) Geographical validation (that is validation across different regions) was performed as follows.

(72) The down-selected markers were chosen based on antibody data from individuals in Thailand, Brazil and the Solomon Islands, three discrete geographical areas. Despite this, there was a strong correlation between the antibody responses measured, in terms of both immunogenicity (seropositivity rates) and antibody level at time of P. vivax infection, as well as the estimated antibody half-lives calculated from consecutive time-points. This is shown in FIG. 5.

(73) Validation in association with recent and past infection was performed as well.

(74) The Luminex® bead-array assay has been successfully established for 40 of the 55 proteins identified in the antigen discovery study (FIG. 6) as well as for the additional 25 proteins (65 total). Plasma samples from three observational cohorts (final time-point) have been screened against these 65 proteins, Thai (n=829), Brazilian (n=925) and Solomon Islands (n=751), in addition to 3 sets of non-exposed (malaria) controls (two panels from Australia and one panel from Thailand). An example of the responses in these cohorts, with relation to time since last infection, to 4 of 65 proteins is shown in FIG. 22, described with regard to Example 4 below.

(75) In the Thai cohort, antibody levels measured to all 17 proteins, selected for performing the first set of tests, were strongly associated with the presence of current P. vivax infections (logistic regression model, odds ratios of 2.8-5.4, p<0.05) (FIG. 7). In addition, antibody levels to 16 of 17 proteins at the last visit of the cohort study were positively and significantly associated with past exposure to P. vivax infections based on PCR results during the yearlong assessment period (measured as the molecular force of blood-stage infection, (molFOI) (generalised linear model, exponentiated coefficients of 1.03-1.18, p<0.05) (FIG. 8). The exception was for PVX_090970, exponentiated coefficient 1.03, p=0.073.

(76) In the Brazilian cohort, the effect size, overall, was not as great as for Thailand. Nevertheless, antibody levels to 16 of 17 proteins were strongly associated with the presence of current P. vivax infections (logistic regression model, odds ratios of 1.59-3.04, p<0.05) (FIG. 9). The exception was for PVX_088860, with an odds ratio of 1.33 (p=0.21). Antibody levels to 10 of 17 proteins at the last visit of the cohort were positively and significantly associated with past exposure to P. vivax (molFOI) (generalised linear model, exponentiated coefficients of 1.04-1.18, p<0.05) (FIG. 10). Of the antibodies with estimated ‘short’ half-lives (less than 6 months), there was one exception, PVX_088860, with an exponentiated coefficient of 1.03 (p=0.24). Of the antibodies with estimated ‘long’ half-lives (more than 6 months), 6 of 10 were not associated with past exposure (exponentiated coefficients of 1.02-1.04, p>0.05).

(77) Various statistical methods can be used to test the association between antibody level to certain proteins and past (recent) or current exposure to P. vivax infections. For most proteins, there was a clear significant association with both past and current P. vivax infections, which is promising for the use of these antigens as serological markers. For others, there was a trend towards an association, which did not reach significance. In a final test, it will be an antibody signature that is used for classification of recent infection, made up of antibody responses to a multitude of proteins. Therefore the lack of significance for some individual proteins does not imply that they will not be useful in the final classification algorithm.

(78) These analyses show that 16 of 17 proteins generate antibodies that are strongly associated with both current infections and 10 of 17 with past P. vivax exposure in both Thailand and Brazil, demonstrating that a majority of these antigens have the potential to detect both concurrent and recent past P: vivax infections.

REFERENCES

(79) 1. Longley R J, Reyes-Sandoval A, Montoya-Diaz E, Dunachie S, Kumpitak C, Nguitragool W, Mueller I, Sattabongkot J. 2015. Acquisition and longevity of antibodies to Plasmodium vivax pre-erythrocytic antigens in western Thailand. Clin Vaccine Immunol doi:10.1128/cvi.00501-15. 2. Wampfler R, Mwingira F, Javati S, Robinson L, Betuela I, Siba P, Beck H P, Mueller I, Felger I. 2013. Strategies for detection of Plasmodium species gametocytes. PLoS One 8:e76316. 3. Rosanas-Urgell A, Mueller D, Betuela I, Barnadas C, Iga J, Zimmerman P A, del Portillo H A, Siba P, Mueller I, Felger I. 2010. Comparison of diagnostic methods for the detection and quantification of the four sympatric Plasmodium species in field samples from Papua New Guinea. Malar J 9:361. 4. Lu F, Li J, Wang B, Cheng Y, Kong D H, Cui L, Ha K S, Sattabongkot J, Tsuboi T, Han E T. 2014. Profiling the humoral immune responses to Plasmodium vivax infection and identification of candidate immunogenic rhoptry-associated membrane antigen (RAMA). J Proteomics 102:66-82. 5. Sawasaki T, Ogasawara T, Morishita R, Endo Y. 2002. A cell-free protein synthesis system for high-throughput proteomics. Proc Natl Acad Sci USA 99:14652-14657. 6. Sawasaki T, Hasegawa Y, Tsuchimochi M, Kamura N, Ogasawara T, Kuroita T, Endo Y. 2002. A bilayer cell-free protein synthesis system for high-throughput screening of gene products. FEBS Lett 514:102-105. 7. Sawasaki T, Morishita R, Gouda M D, Endo Y. 2007. Methods for high-throughput materialization of genetic information based on wheat germ cell-free expression system. 8. Sawasaki T, Gouda M D, Kawasaki T, Tsuboi T, Tozawa Y, Takai K, Endo Y. 2005. The wheat germ cell-free expression system: methods for high-throughput materialization of genetic information. Methods Mol Biol 310:131-144. 9. Matsuoka K, Komori H, Nose M, Endo Y, Sawasaki T. 2010. Simple screening method for autoantigen proteins using the N-terminal biotinylated protein library produced by wheat cell-free synthesis. J Proteome Res 9:4264-4273. 10. Franca C T, Hostetler J B, Sharma S, White M T, Lin E, Kiniboro B, Waltmann A, Darcy A W, Li Wai Suen C S, Siba P, King C L, Rayner J C, Fairhurst R M, Mueller I. 2016. An Antibody Screen of a Plasmodium vivax Antigen Library Identifies Novel Merozoite Proteins Associated with Clinical Protection. PLoS Negl Trop Dis 10:e0004639. 11. Team RC. 2015. R: A language and environment for statistical computing, R Foundation for Statistical Computing, Vienna, Austria. https://www.R-projects.org/.

Example 2—Illustrative Diagnostic Test

(80) A diagnostic test according to at least some embodiments of the present invention could optionally include any of bead-based assays previously described (AlphaScreen® assay and multiplexed assay using Luminex® technology).

(81) In addition to the ability to measure antibody responses using the bead-based assays previously described, other methods could also be used, including, but not limited to, the enzyme linked immunosorbent assay (ELISA) (1), protein microarray (2) and the luminescence immunoprecipitation system (LIPs) (3).

(82) Antibody measurements via ELISA rely on coating of specialised plates with the required antigen, followed by incubation with the plasma sample of interest. IgG levels are detected by incubation with a conjugated secondary antibody followed by substrate, for example a horseradish peroxidase-conjugated anti-IgG and ABTS [2,2=-azinobis(3-ethylbenzothiazo-line-6-sulfonic acid)-diammonium salt].

(83) Protein microarray platforms offer a high-throughput system for measuring antibody responses. Proteins of interest are spotted onto microarray chips then probed with plasma samples. The arrays are then further incubated with a labeled anti-immunoglobulin and analysed using a microarray scanner.

(84) The LIPs assay utilizes cell lysate containing the expressed antigen fused to a Renilla luciferase reporter protein. Plasma samples are incubated with a defined amount of this lysate, with protein A/G beads used to capture the antibody. The amount of antibody-bound antigen-luciferase is measured by the addition of a coelenterazine substrate, and the light emitted measured using a luminometer.

(85) Any of these assays may optionally be combined with a reader and if necessary, an analyzer device, to form an apparatus according to at least some embodiments of the present invention. The reader would read the test results and the analyzer would then analyze them according to any of the previously described algorithms and software.

REFERENCES

(86) 1. Longley R J, Reyes-Sandoval A, Montoya-Diaz E, Dunachie S, Kumpitak C, Nguitragool W, Mueller I, Sattabongkot J. 2015. Acquisition and longevity of antibodies to Plasmodium vivax pre-erythrocytic antigens in western Thailand. Clin Vaccine Immunol doi:10.1128/cvi.00501-15. 2. Finney O C, Danziger S A, Molina D M, Vignali M, Takagi A, Ji M, Stanisic D I, Siba P M, Liang X, Aitchison J D, Mueller I, Gardner M J, Wang R. 2014. Predicting anti-disease immunity using proteome arrays and sera from children naturally exposed to malaria. Mol Cell Proteomics doi:10.1074/mcp.M113.036632. 3. Longley R J, Salman A M, Cottingham M G, Ewer K, Janse C J, Khan S M, Spencer A J, Hill AV. 2015. Comparative assessment of vaccine vectors encoding ten malaria antigens identifies two protective liver-stage candidates. Sci Rep 5:11820.

Example 3—Illustrative Software Process for Diagnosis

(87) This Examples relates to processes for estimation of time since last P. vivax infection using measurements of antibody titers, which may optionally be provided through software. a. Section 1 relates to calibration and validation of the input data, as well as non-limiting examples of models and algorithms which may optionally be used to analyze the data. Section 2 provides additional information on the algorithms utilized.
Section 1—Overview of Calibration Data and Algorithms
Calibration and Validation Data

(88) Both the down-selection of antigens for incorporation into a diagnostic test, and the calibration and validation of algorithms for providing classifications of recent P. vivax infection given blood samples, will depend on the available epidemiological data. Data will be required on the demography of the populations under investigation, serological measurements, and monitoring for parasitemia and clinical episodes. Table 1 provides an overview of the data sets that are used.

(89) Algorithm Inputs and Outputs

(90) A diagnostic test will take a blood sample as input and provide data to inform a decision making process as output. The type of data generated will depend on the technological specifications of the diagnostic platform. The outputted data can then be used as input for some algorithm to inform a decision making process. The following factors need to be taken into consideration when defining the inputs and outputs of a decision making algorithm: 1) Number of antigens The number of antigens to which antibodies can be measured will be restricted by the technological specifications of the diagnostic platform under consideration. Measurement of antigens to a greater number of antibodies will in theory provide more data as input for an algorithm, potentially increasing predictive power.

(91) TABLE-US-00004 TABLE 1 Overview of data sets used for antigen down-selection and algorithm calibration and validation. demographic data serological data parasitological data number of samples samples PCR region number age antigens per person platform per person positive clinical Antigen down-selection Thailand 32  29 (7, 71) 342 4 AlphaScreen 17 enrolment enrolment Brazil 33 342 4 AlphaScreen 17 enrolment enrolment Algorithm calibration and validation Thailand 829  25 (2, 79)  65 1 Luminex 14  97/829 25/829 Brazil 928  25 (0, 102)  65 1 Luminex 13 236/928 80/928 Solomon 860 5.5 (0.5, 12.7)  65 1 Luminex 11 294/860 35/860 Islands Negative controls Australian 100  52 (18, 77)  65 1 Luminex  1 no no Red Cross Thai Red 72  65 1 Luminex  1 no no Cross Australian 102  39 (19, 68)  65 1 Luminex  1 no no donors 2) Measurement of antibody levels The levels of antibody in a blood-sample can be measured and summarised in a variety of ways. a) Continuous measurement A continuous measurement that has a monotonic relationship with antibody titer. It can be compared with a titration curve to produce an estimate of antibody titer. b) Binary classification Assesses whether antibody levels are greater or less than some threshold. c) Categorical classification Assigns antibody levels to one of a set of pre-defined categories, e.g. low, medium, high. A categorical classification can be generated via a series of binary classifications. 3) Decision making requirements The result of a diagnostic test and accompanying algorithm can be used to inform a decision on whether or not to treat, as well as to inform surveillance systems. a) Classification of recent infection A binary output corresponding to whether or not there was an infection with P. vivax blood-stage parasites in the past 9 months. This can be presented as a binary classification, or as a probabilistic classification. This can be adjusted for a range of different temporal thresholds: 3 months, 6 months, 12 months, 18 months. b) Estimation of time since last infection An estimate of the time since last P. vivax blood-stage infection—depending on the available calibration data the time since last infection can be defined either as the time since last PCR-detectable blood-stage parasitemia, or as the time since last mosquito bite. Time since last infection can be estimated continuously or categorically. Concurrent estimation of uncertainty will be important. c) Medium-term serological exposure Given sufficient calibration data, the algorithms described here can be modified to provide extended measurements of an individual's recent to medium term P. vivax exposure, e.g. how many infections in the last 2 years? 4) Computational and analytic capabilities An algorithm's complexity will be restricted by the analytic resources accompanying the diagnostic platform. In a low resource setting, we may require a decision to be made given a sequence of binary outputs from a rapid diagnostic test (sero-negative or sero-positive) without any access to computational devices. At the other extreme, in a high resource setting we may have continuous measurements of antibodies to multiple antigens accompanied with algorithms encoded in computational software. a) No access to computational devices. Algorithms implemented via ‘easy to follow’ instructions on paper charts. b) Algorithm implemented in software that can be installed on a portable computation device such as a smartphone or tablet. May require the manual entry of output from the diagnostic platform. c) Computational software with encoded algorithms integrated within the diagnostic platform.
Algorithms

(92) There is a wide range of algorithms for classification and regression in the statistical inference and machine learning literature (Hastie, Tibshirani & Friedman.sup.3). A classification algorithm can take a diverse range of input data and provide some binary or categorical classification as output. A regression algorithm can take similar input, but provides a continuous prediction as output. Table 2 provides an overview of some algorithms that can be used for classification problems. Four of these have been regularly described in the statistical learning literature: linear discriminant analysis (LDA); quadratic discriminant analysis (QDA); decision trees; and random forests. One of these has been specifically developed for the application at hand: combined antibody dynamics (CAD). The candidate algorithms are classified according to a number of factors. The degree of transparency describes the straightforwardness and reproducibility of an algorithm. A decision tree is considered very transparent as it can be followed by a moderately well-informed individual, as it requires answering a sequence of questions in response to measured data. This simple, logical structure makes decision trees particularly popular with doctors. Because of the transparency and ease of use, decision trees are sometimes referred to as glass box algorithms. At the other extreme, algorithms such as random forests are considered to be black box algorithms where there may be no obvious association between the inputs and outputs.

(93) TABLE-US-00005 TABLE 2 Overview of algorithms suitable for classification of recent P. vivax infection or estimation of time since last P. vivax infection. algorithm data needs transparent stochastic time predicted comments linear continuous + no no The assumption of discriminant common covariance for analysis each category may be too (LDA) restrictive. quadratic continuous + no no; categorical There is an approximate discriminant estimation equivalence between the analysis possible, QDA classification space (QDA) incorporation of and that predicted by the uncertainty CAD algorithm. challenging decision binary +++ no no; possible via Very transparent and trees regression trees or simple to implement in categorical low technology settings. estimation random continuous −− yes no; possible via Potentially very powerful forests regression trees or but requires considerable categorical computational resources. estimation combined continuous ++ no yes; with A biologically motivated antibody uncertainty representation of dynamics antibodies following (CAD) infection; prior information on decay rates can be incorporated.
Section 2—Expanded Details of Algorithms

(94) Here we provide an overview of classification algorithms such as LDA, QDA, decision trees and random forests which have already been described extensively elsewhere (Hastie, Tibshirani & Friedman.sup.3). We also provide an extended description of the combined antibody dynamics (CAD) algorithm.

(95) Linear and Quadratic Discriminant Analysis

(96) The theory of linear discriminant analysis (LDA) and quadratic discriminant analysis (QDA) is described in detail in “The Elements of Statistical Learning: Data Mining, Inference and Prediction” by Hastie, Tibshirani & Friedman.sup.6. We provide a brief overview of how these methods may be applied. A key assumption for LDA and QDA classification algorithms is that individuals who have similar antibody titers are likely to have the same classification. It is convenient to compare individuals with different antibody profiles via Euclidean distance of log antibody titers. An LDA or QDA classifier can be implemented by fitting multivariate Gaussian distributions to the clusters of data points representing ‘old’ and ‘new’ infections. Assume we have measurements of p antibodies. Denote k∈{new,old} to represent the classes of training individuals with new and old infections. These can be modelled as multivariate Gaussians:

(97) $f_k\left(x\right)=\frac{1}{{\left(2\pi \right)}^{p/2}{.Math.{\Sigma }_k.Math.}^{1/2}}{e}^{-\frac{1}{2}{\left(x-{\mu }_k\right)}^{\tau }{\Sigma }_k^{-1}\left(x-{\mu }_k\right)}$

(98) where μ.sub.k, and Σ.sub.k are the mean and p*p covariance matrix of the training data of each class.

(99) In the case of LDA, all classes are assumed to have the same covariance matrix (Σ.sub.new=Σ.sub.old=Σ), and the classification between new and old infections can be evaluated via the log ratio:

(100) $\log \left(\frac{P\left(\mathrm{new}\text{|}X=x\right)}{P\left(\mathrm{old}\text{|}X=x\right)}\right)=-\frac{1}{2}{\left({\mu }_{\mathrm{new}}+{\mu }_{\mathrm{old}}\right)}^T{\Sigma }^{-1}\left({\mu }_{\mathrm{new}}-{\mu }_{\mathrm{old}}\right)+x^T{\Sigma }^{-1}\left({\mu }_{\mathrm{new}}-{\mu }_{\mathrm{old}}\right)$
which is linear in x. The two categories are therefore separated by a hyperplane in p-dimensional space.

(101) In QDA, the restriction that Σ.sub.new=Σ.sub.old=Σ is relaxed and it can be shown that the classification boundary is described by a conic section in p-dimensional space.

(102) LDA and QDA have consistently been shown to provide robust classification for a wide range of problems. The predictive power of these algorithms can be assessed through cross-validation whereby the data is split into training and testing data sets. The algorithm is calibrated using the training data set and subsequently validated using the test data set. An important method for assessing an algorithm's predictive power is to evaluate the sensitivity and specificity. In this context, we define sensitivity to be the proportion of recent infections correctly classified as recent infections, and we define specificity to be the proportion of old infections correctly classified as old infections.

(103) A receiver operating characteristic (ROC) curve allows for detailed investigation of the association between sensitivity and specificity. At one extreme, we could obtain 100% sensitivity and 0% specificity by simply classifying all blood samples as new infections. At the other extreme, we could obtain 100% specificity and 0% sensitivity by classifying all blood samples as old infections. FIG. 25 shows ROC curves describing the classification performance of LDA algorithms for combinations of 4 antigens in Thailand, Brazil and the Solomon Islands.

(104) Decision Trees and Random Forests

(105) Tree-based algorithms partition the space spanned by the data into a set of rectangles with a unique classification applied to each rectangle. Similarly to the LDA and QDA classification algorithms, a great deal of theoretical information is supplied in the book “The Elements of Statistical Learning: Data Mining, Inference and Prediction”.

(106) There are several powerful methods for extending decision tree classifiers including bagging (bootstrapp aggregating), boosting and random forests3. These methods can lead to substantially improved classifiers but typically require more computation and more data. In addition to providing powerful classifiers, these algorithms can provide important diagnostics for investigating the association between the signal in the input and the output.

(107) FIG. 23A-C shows the ROC curves for cross-validated random forests classifiers applied to data sets from Thailand, Brazil and Solomon Islands. Notably, when the training and testing data sets are from the same region, there are many combinations of four antigens that allow sensitivity >80% and specificity >80%. When training and testing data sets are from different regions, it was still possible to obtain combinations of four antigens with sensitivity >80% and specificity >80%.

(108) Modelling of Antibody Dynamics

(109) A key premise of the proposed diagnostic test is that following infection with P. vivax blood-stage parasites, an antibody response will be generated that will change predictably over time (FIG. 13). Here we present a subset of the data that demonstrates how antibodies to P. vivax antigens change over time.

(110) Longitudinal Antibody Titers Following Clinical P. vivax

(111) We have data from longitudinal cohorts in Thailand and Brazil where participants were followed for up to 36 weeks after a symptomatic clinical episode of P. vivax (see also Table 1/Materials and Methods in Example 1, antigen discovery cohorts). Participants were treated with primaquine, and blood samples were frequently tested to ensure they remained free from re-infection. Antibody levels to a wide range of antigens were measured at 12 week intervals to investigate the changing antibody dynamics. The sample data in FIG. 11 illustrates that antibodies exhibit a range of different half-lives—a pattern consistent with the rest of the data (see also FIG. 3). Another important general feature of the data is exhibited here: rapidly decaying antibodies (short half-life) exhibit much more measurement error than slowly decaying antibodies (long-lived half-life).

(112) The decay of anti-malaria antibodies following infection can be described by an exponential or a bi-phasic exponential distribution.sup.4. Because of the sampling frequency (every 12 weeks) we assume that antibodies decay exponentially. Exponential decay equates to linear decay on a log scale. Therefore we utilise linear regression models. In particular, we utilise a mixed-effects linear regression framework so that we can estimate both the mean rate of antibody decay as well as the standard deviation.

(113) We assume that for individual i we have measurements of antibody titer Auk at time j to antigen k. We assume that at time 0, antibody titers are Normally distributed5 with mean α.sub.k.sup.0 and standard deviation σ.sub.a,k on a log-scale. We assume that an individual's rate of antibody decay is drawn from a Normal distribution with mean r.sub.k.sup.0 and standard deviation σ.sub.r,k. The antibody dynamics in the population can therefore be described by the following mixed-effects linear regression model:
log(A.sub.ijk)˜(α.sub.k.sup.0+α.sub.ik)+(r.sub.k.sup.0+r.sub.ik)t.sub.j+ε.sub.k
α.sub.ik˜N(0,σ.sub.a,k)
r.sub.ik˜N(0,α.sub.r,k)
ε.sub.k˜N(0,σ.sub.m,k)  (Equation 1)

(114) This model can be fitted to data using the 1mer package in R. FIG. 11 shows a sample of the fitted profiles of antibody dynamics.

(115) Estimation Using Antibodies to a Single Antigen

(116) Here we describe an algorithm that uses a biologically-motivated model of the decay of antibody titers over time to facilitate statistical inference of the time since last infection. A key requirement of this algorithm is that it requires some prior knowledge of the decay rates of antibodies. This can be achieved either through estimation of antibody decay rates from longitudinal data as described in equation (1), or estimation of decay rates from cross-sectional antibody measurements as presented in FIG. 12.

(117) The linear regression model for the decay of antibody titers described in equation (1) has three sources of variation: (i) variation in initial antibody titer following infection; (ii) between individual variation in antibody decay rate; and (iii) measurement error. Notably, all these sources of variations are described by Normal distributions (FIG. 13a) so their combined variation will also be described by a Normal distribution. Therefore, the expected log antibody titer to antigen k in individual i at time t can be described by the following distribution.
x.sub.ik˜N(α.sub.k.sup.0+r.sub.kt,σ.sub.a,k.sup.2+t.sup.2σ.sub.r,k.sup.2+σ.sub.m,k.sup.2)  (2)

(118) The probability distribution of the expected antibody titer to antigen k in individual i at time t is given by the following distribution:

(119) $\begin{array}{cc}P\left(x_{\mathrm{ik}}\text{|}t\right)=\frac{1}{\sqrt{2\pi \left({\sigma }_{\alpha ,k}^2+t^2{\sigma }_{r,k}^2+{\sigma }_{m,k}^2\right)}}{e}^{-\frac{{\left(x_{\mathrm{ik}}-{\alpha }_k^0-r_k^{0}t\right)}^2}{2\left({\sigma }_{\alpha ,k}^2+t^2{\sigma }_{r,k}^2+{\sigma }_{m,k}^2\right)}}& \left(3\right)\end{array}$

(120) Note that we have x.sub.ik∈(−∞+∞), as x.sub.ik denotes the log antibody titer and measurements of antibody titer are assumed to be positive. The probability distribution for the time since infection t given measured antibody titer x.sub.ik can be calculated by inverting equation (3) using Bayes rule.sup.3.

(121) $\begin{array}{cc}P\left(t\text{|}{x}_{\mathrm{ik}}\right)=\frac{P\left(x_{\mathrm{ik}}\text{|}t\right)P\left(t\right)}{P\left(x_{\mathrm{ik}}\right)}& \left(4\right)\end{array}$

(122) The time since last infection will have a lower bound of zero. We can choose to impose an upper bound of either the individual's age ‘α’ or positive infinity. Choosing positive infinity allows us to better handle the case where an individual was never infected—the low measured antibody titers will be consistent with a very large time since last infection, possibly greater than the age of the individual. Therefore we should only restrict t to the interval (0, a) if we know for certain that the individual has been infected. In practice, we choose some large time t.sub.max for our upper bound. We assume P(t) denotes a uniform distribution on the interval (0, t.sub.max). P(x.sub.ik) is a normalising constant which is calculated via numerical integration to ensure that P(t|x.sub.ik) denotes a probability distribution.

(123) Equation (4) provides a probability distribution for the time since last infection. For the purposes of a diagnostic test we may be more interested in obtaining a binary classification, e.g. was the individual infected within the last 9 months. It is usually not possible to definitively make such a categorisation, but we can instead calculate their probabilities as follows:
P.sub.0-9m(x.sup.ik)=∫.sub.0.sup.9P(t|x.sub.ik)dt
P.sub.9m+(x.sub.ik)=∫.sub.9.sup.t.sup.maxP(t|x.sub.ik)dt  (5)
Combined Antibody Dynamics: Estimation Using Antibodies to Multiple Antigens

(124) Previously, we described how the antibody titer to a single antigen can be used to estimate the time since last infection. However, in practice there is too much noise to make an accurate estimate of time since last infection with a single antigen. Increasing the number of measured antibodies can increase the information content in our data allowing us to obtain more accurate estimates of time since last infection. In particular, selecting antibodies with a range of half-lives may increase our power to resolve infection times more accurately.

(125) FIG. 14 shows a schematic of the dynamics of antibodies to two antigens. We have rapidly decaying antibody 1 and slowly decaying antibody 2. At baseline, antibody titers are likely to be correlated, so we assume that initial titer following infection is described by a multivariate Normal distribution with covariance matrix Ea. The between individual rates of antibody decay may also be correlated (i.e. all antibody titers may decay particularly quickly in some individuals) so we also assume that decay rates are described by a multivariate Normal distribution with covariance matrix Σ.sub.r. Finally, there will be measurement error associated with each antibody. In particular, we assume the measurement errors between different antibodies are independent so that the total measurement error can be described by a multivariate Normal distribution with diagonal covariance matrix E.sub.m.

(126) $\begin{array}{cc}P\left(x_i\text{|}t\right)={\left(2\pi \right)}^{-\frac{k}{2}}\text{.Math.}{\Sigma }_{\alpha }+t^2{\Sigma }_r+{\Sigma }_m{\text{.Math.}}^{-\frac{1}{2}}{e}^{-\frac{1}{2}{\left(x_i-{\alpha }^0-r^{0}t\right)}^T{\left({\Sigma }_{\alpha }+t^2{\Sigma }_r+{\Sigma }_m\right)}^{-1}\left(x_i-{\alpha }^0-r^{0}t\right)}& \left(6\right)\end{array}$

(127) The method for estimating the time since last infection given the multivariate probability distribution for the measured vector of antibody titers x.sub.i is the same as described in equation (4).

(128) Selecting Optimal Combinations of Antigens

(129) Machine learning algorithms take data from a large number of streams and identify which data streams have the most signal for classifying output. Such methods typically involve a greedy algorithm which will provide a good but not necessarily optimal solution. Greedy algorithms take the next best step, i.e. including the next antigen that gives the biggest increase in predictive power. As such they may provide a locally optimal solution but not necessarily a globally optimal solution. Simulated annealing algorithms provide an alternative to greedy algorithms that provide a higher likelihood of obtaining a globally optimal solution.

(130) Here we describe how a simulated annealing algorithm can be applied to the combined antibody dynamics (CAD) classifier to select a combination of antigens that provides optimal predictive power. Assume that P measurements of antibodies are available. We want to select some subset of these that maximises predictive power. Denote y to be a vector of 0's and 1's indicating whether the p.sup.th antibody is included in our panel. Thus for example we may have
y=(0,0,1,1,0,1,0,0,1)  (7)

(131) The vector of binary states depicted in equation (7) will correspond to a vector of antibody measurements as follows:
x.sub.i=(x.sub.i,1,x.sub.i,2x.sub.i,3x.sub.i,4)  (8)

(132) Given data from I individuals on measured antibody responses, we can calculate the probability that the individual was infected within the last 9 months P.sub.0-9m(X.sub.i) or greater than 9 months ago P.sub.9m+(x.sub.i). Let z.sub.i be an indicator denoting whether individual I was infected in the last 9 months (z.sub.i=1) or not (z.sub.i=0). We can then write down the likelihood of the data as follows:

(133) $\begin{array}{cc}L\left(y\right)=\underset{i=1}{\overset{I}{.Math.}}{P_{0-9m}\left(x_i\right)}^{z_i}{P_{9m+}\left(x_i\right)}^{1-z_i}& \left(9\right)\end{array}$

(134) The challenge is to select a binary vector y corresponding to a combination of antigens that maximises the likelihood in equation (9) and thus has the highest likelihood of correctly classifying infections according to whether they occurred in the last 9 months.

(135) If we have P antigens, there are 2.sup.P combinations of antigens. For P >15 it is not computationally feasible to test all possible combinations. We therefore utilise a simulated annealing algorithm for exploring the state space of combinations and identifying the optimal combinations subject to various constraints (e.g. enforcing a maximum of 10 antigens to a panel). FIG. 20 shows the results, and this contributed to the initial down-selected of antigens as described in Example 1.

REFERENCES

(136) 1 White, N. J. Determinants of relapse periodicity in Plasmodium vivax malaria. Malaria Journal 10, doi:29710.1186/1475-2875-10-297 (2011). 2 Mueller, I. et al. Key gaps in the knowledge of Plasmodium vivax, a neglected human malaria parasite. Lancet Infectious Diseases 9, 555-566 (2009). 3 Hastie, T., Tibshirani, R. & Friedman, J. The elements of statistical learning: Data mining, inference, and prediction. Second edn, (Springer, 2009). 4 White, M. T. et al. Dynamics of the Antibody Response to Plasmodium falciparum Infection in African Children. Journal of Infectious Diseases 210, 1115-1122, doi:10.1093/infdis/jiu219 (2014). 5 Yman, V. et al. Antibody acquisition models: A new tool for serological surveillance of malaria transmission intensity. Scientific Reports 6, doi:10.1038/srep19472 (2016). 6 The Elements of Statistical Learning: Data Mining, Inference and Prediction” by Hastie, Tibshirani & Friedman; 2001, Springer. 7 Kirkpatrick, S., Gelatt Jr, C. D. & Vecchi, M. P. Optimization by simulated annealing. Science 220, 671-680 (1983).

Example 4—Additional Testing of Antigens

(137) This non-limiting Example relates to additional testing of antibody responses to various P. vivax proteins, present in the blood, as potential antigens for a diagnostic test. It further relates to selection of Plasmodium vivax antigens for classification of samples with past blood-stage infections.

(138) The blood collection and laboratory work was generally performed according to the materials and methods described in Example 1.

(139) Overview of Epidemiological Cohorts

(140) Data was obtained from longitudinal cohorts in three different regions of the P. vivax endemic world. In each cohort, approximately 1,000 individuals were followed over time for approximately 1 year, with active case detection samples taken every month. These samples were supplemented by passive case detection samples from individuals experiencing clinical episodes of P. vivax or P. falciparum. An overview of the data collected is shown in Table 3, and age-stratified prevalence of PCR detectable blood-stage infection within the last 9 months is shown in FIG. 21.

(141) In addition data was obtained from three cohorts of negative controls who were highly to have ever been exposed to malaria. These cohorts consisted of 102 individuals from the Victorian Blood Donor Registry (VBDR), 100 individuals from the Australian Red Cross, and 72 individuals from the Thai Red Cross (residents of Bangkok with no reported history of malaria).

(142) TABLE-US-00006 TABLE 3 Epidemiological overview of cohorts analysed for the association between P. vivax antibody titers and time since last PCR detectable infection. Number of samples per individual and age are shown as median with range. Solomon Thailand Brazil Islands number of 829 928 860 individuals samples per 14 (4, 18) 13 (4, 16) 10 (6, 11) individual Female 454 (54.8%) 471 (50.7%) 416 (48.4%) age (years) 24 (1, 78) 25 (0, 103) 5.5 (0.5, 12.7) PCR infection 97 (11.7%) 236 (25.4%) 294 (34.2%) during study PCR infection in 72 (8.7%) 205 (22.1%) 265 (30.8%) last 9 months PCR infection in 44 (5.3%) 119 (12.8%) 156 (18.1%) last 3 months PCR infection at 25 (3.0%) 40 (4.3%) 93 (10.8%) last final time point
Measured Antibody Responses

(143) In each of the three longitudinal cohorts, antibody responses were measured at the final time point to allow investigation of the association between antibody response and time since last infection. The antibody responses to 65 antigens were measured. 40 of these antigens were selected following a previously published down-selection procedure from a starting panel of 342 wheat-germ expressed proteins. These 40 proteins were supplemented by another 25 purified P. vivax proteins obtained from collaborators. These P. vivax antigens were coupled to COOH micro-beads, and a multiplexed Luminex assay was used to measure Mean Fluorescence Intensity (MFI) for each antigen in each sample. MFI measurements were converted to antibody titers by calibrated to measurements from a hyper-immune pool of Papua New Guinean adults. FIG. 22 shows the measured response from 4 of the 65 antigens, and the variation with time since last infection.

(144) Selection of Optimal Combinations of Antigens for Classification

(145) Initial Investigation of Combinations of Parameters

(146) Of the 65 P. vivax proteins considered, 5 were excluded because of poor immunogenicity which resulted in missing data from a large proportion of samples. This resulted in a panel of 60 antigens for detailed investigation and further down-selection. The aim is to identify combinations of up to 5 antigens that can provide accurate classification within a single cohort, and identify combinations of 8-15 antigens that can accurately across multiple cohorts with a wide range of transmission intensities and age ranges.

(147) Without wishing to be limited by a single hypothesis, selection optimized for three classification targets: 1. Surveillance target. Select combinations of antigens such that both sensitivity and specificity are given equal weight in optimisation. This is done by maximising the area under the curve (AUC) of a receiver operating characteristic (ROC) curve. 2. Serological Screen and Treat (SSAT) target. Select combinations of antigens that maximise sensitivity (e.g. >95%) while enforcing a lower bound on specificity (e.g. >50%). 3. Surveillance target. Select combinations of antigens that maximise specificity (e.g. >95%) while enforcing a lower bound on sensitivity (e.g. >50%).

(148) The first step is to identify combinations of antigens for which there is a strong signal enabling classification. This was done by using a linear discriminant analysis (LDA) classifier to test all combinations of antigen of size up to 5. Above size 5, it was not computationally feasible to evaluate all possible combinations. Therefore for n>5, combinations of size n+1 were evaluated by identifying the optimal 500 combinations of size n antigens and including all positive individually.

(149) Optimisation of Algorithms Given Most Likely Parameter Combinations

(150) Given a subset of n antigens, a range of classification algorithms were considered: LDA, quadratic discriminant analysis (QDA), decision trees, and random forests. For a given algorithm and subset of antigens classification performance was assessed through cross-validation. The key to cross-validation is to use disjoint training and testing data sets to assess classification of performance. For each cohort, this is done by randomly selecting ⅔ of the data as the training set and testing the algorithm on the remaining ⅓. This is repeated 200 times and the average of the cross-validated ROC curves is calculated.

(151) FIGS. 23A-23C show cross-validated ROC curves for assessing the classification performance of random forests algorithms (determined according to the randomForests library in R). In cases where algorithms were trained and tested on data from the same region, many different combinations of 4 antigens resulted in sensitivity and specificity greater than 80%. Even when an algorithm was trained on data from one region and then tested on data from another region of the world, it was still possible to obtain combinations of antigens with both sensitivity and specificity greater than 80%, with the exception of algorithms trained on data from Thailand and tested on data from the Solomon Islands.

(152) Ranking of Antigens

(153) Multiple factors determine whether or not an antigen will contribute to classification of recent infection. These include but are not limited to: antibody dynamics; immunogenicity of recent infections compared to old infections and measurements from control samples; area under the ROC curve when considering one antigen at a time; frequency of selection in top combinations of antigens. FIG. 24 shows a network visualisation of how combinations of 4 antigens are selected. The size of each node represents the likelihood that an antigen is selected, and the width and colour of an edge represents the probability that a pair of antigens are selected in combination. Therefore, the most commonly selected antigens are biggest and cluster in the centre of the network. There was a high degree of consistency in the antigens that were selected in each of the three cohorts, with the most strongly identified antigens being RBP2b (V3), L01, L31, X087885 (X7), PvEBP (V11), L55, PvRipr (V8) and L54.

(154) Table 4 shows a ranking of antigens according to a range of criteria. The top two antigens, RBP2b and L01, are preferred candidates. The next six antigens are likely candidates. The next seven antigens are possible candidates. Also included are an additional nine antigens worth further consideration.

(155) TABLE-US-00007 TABLE 4 List of antigens ranked according to their contribution to classification of individuals with PCR detectable blood-stage P. vivax in the last 9 months. The area under the curve (AUC) is based on using antibody titers to a single antigen for classification. Combinations of antigens were investigated by assessing classification performance of linear discriminant analysis (LDA) for all combination of 4 antigens from the initial panel of 60 antigens. Recent infection sero-positivity shows the proportion of individuals with PCR detectable P. vivax in the last 9 months, with the threshold of sero-positivity defined as the geometric mean titer (GMT) plus two standard deviations of the negative controls. Area Under Curve Top 1% of combination Recent infection (1 antigen) (4 antigens) sero-positivity antigen Thailand Brazil Solomons Thailand Brazil Solomons Thailand Brazil Solomons RBP2b 0.849 0.818 0.868 89.7% 98.5% 100.0% 70.8% 64.4% 45.7% (V3) L01 0.812 0.787 0.697 43.5% 23.9%  4.3% 51.4% 56.6% 14.3% L31 0.805 0.762 0.766  5.0%  2.7%  3.7% 25.0% 38.0%  7.4% X087885 0.807 0.748 0.697 20.3%  9.2%  14.6% 41.7% 81.0% 50.9% (X7) PvEBP 0.794 0.739 0.707  5.0%  2.4%  3.1% 55.6% 41.0%  7.8% (V11) L55 0.79 0.781 0.643 17.2% 20.9%  2.6% 38.9% 29.8%  3.5% PvRipr 0.754 0.772 0.646  3.0%  9.1%  3.1% 31.9% 29.3%  4.8% (V8) L54 0.79 0.727 0.654  5.6%  4.4%  3.1% 26.4% 19.0%  2.2% L07 0.747 0.765 0.599  3.1%  5.3%  2.8% 27.8% 41.5%  3.9% L30 0.732 0.61 0.609  2.3%  3.8%  5.4% 47.2% 11.7%  9.6% PvDBPII 0.74 0.773 0.639  1.7%  2.6%  4.0% 20.8% 47.3%  3.5% (V10) L34 0.767 0.746 0.67  4.5% 16.6%  2.2% 12.5% 19.0%  3.9% X092995 0.792 0.703 0.642 11.5%  1.9%  5.6% 15.3% 34.1% 10.0% (X6) L12 0.755 0.731 0.637  3.5%  6.1%  2.9% 16.7% 15.1%  3.0% RBP1b 0.533 0.578 0.525 24.1%  4.7%  2.5%  0.0%  0.0%  0.0% (V1) L23 0.759 0.753 0.658  4.0% 14.8%  2.9% 12.5% 19.5%  5.7% L02 0.746 0.724 0.677  2.7%  3.7%  3.9% 15.3% 13.7%  2.6% L32 0.705 0.651 0.493  3.7%  1.9%  30.2%  4.2%  3.9%  0.4% L28 0.759 0.744 0.667  3.8%  2.5%  2.4% 45.8% 33.2%  9.1% L19 0.753 0.67 0.664  2.6%  2.3%  6.5% 33.3% 19.5% 10.9% L36 0.727 0.698 0.662  3.2%  1.8%  2.8% 36.1% 22.0% 10.4% L41 0.702 0.66 0.636  2.55  1.7%  3.3% 29.2% 17.6%  8.3% X088820 0.723 0.666 0.638  4.0%  1.8%  6.7% 15.3% 35.6% 14.8% (X4) PvDBP.. 0.716 0.761 0.616  1.7%  2.6%  7.2% 16.7% 36.6%  1.3% Sacl (V13)

(156) FIG. 25 shows Receiver Operating Characteristic (ROC) curves for assessing the trade-off between sensitivity and specificity for a cross-validated linear discriminant analysis (LDA) classifier applied to data from Thailand, Brazil and the Solomon Islands.

(157) TABLE-US-00008 Appendix I Pro- Insert aa tein sequence (add Protein Refer- M as start/His- Insert DNA sequence (Start from ATG to No. Name ence tag at C-term) His-tag stop codon)  1 merozoite PVX_ MNESKEILSQLLNVQTQLLTMSSEH ATGAACGAGTCCAAGGAGATCCTCAGCCAACTCCTGAACGTGCAAACC surface 099980 TCIDTNVPDNAACYRYLDGTEEWRC CAGCTCCTGACCATGTCCAGCGAGCACACCTGCATCGACACCAACGTCC protein 1 LLTFKEEGGKCVPASNVTCKDNNG CAGACAACGCCGCCTGCTACAGGTACCTGGACGGCACCGAGGAGTGG (MSP1) , GCAPEAECKMTDSNKIVCKCTKEGS CGCTGCCTCCTGACCTTCAAGGAAGAGGGCGGCAAGTGCGTGCCAGCC MSP1-19 EPLFEGVFCSHHHHHH TCCAACGTCACCTGCAAGGACAACAACGGCGGCTGCGCTCCAGAGGCT (SEQ ID NO: 1) GAGTGCAAGATGACCGACAGCAACAAGATCGTGTGCAAGTGCACCAA GGAAGGCTCCGAGCCACTCTTCGAGGGCGTCTTCTGCAGCCACCACCA CCACCACCACTGA (SEQ ID NO: 2)  2 trypto- PVX_ MKTETVTSRSNPHQAIEYANQGPS ATGAAGACCGAGACGGTGACCTCCAGGAGCAACCCACACCAAGCCATC phan- 096995 RDKVEEWKRNAWTDWMVQLDDD GAGTACGCCAACCAGGGCCCATCCAGGGACAAGGTGGAGGAGTGGAA rich WKDFNAQIEEEKKAWIEEKEGDWV GCGCAACGCCTGGACCGACTGGATGGTCCAACTCGACGACGACTGGA antigen ILLKHLQNKWLHFNPNLDAEYQTD AGGACTTCAACGCCCAGATCGAGGAAGAGAAGAAGGCCTGGATTGAG (Pv-fam-a) MLAKSETWDERQWKMWISTEGKQ GAGAAGGAAGGCGACTGGGTCATCCTCCTGAAGCACCTCCAAAACAA LLEMDLKKWFTNNEMIYCKWTMDE GTGGCTGCACTTCAACCCAAACCTCGACGCCGAGTACCAGACCGACAT WNEWKNEKIKEWVTSEWKESEDQ GCTGGCCAAGTCCGAGACGTGGGACGAGAGGCAGTGGAAGATGTGG YWSKYDDATIQTLTVAERNQWFKW ATCAGCACCGAGGGCAAGCAGCTCCTGGAGATGGACCTCAAGAAGTG KERIYREGIEWKNWIAIKESKFVNA GTTCACCAACAACGAGATGATCTACTGCAAGTGGACCATGGACGAGTG NWNSWSEWKNEKRLEFNDWIEAF GAACGAGTGGAAGAACGAGAAGATCAAGGAGTGGGTGACCTCCGAGT VEKWIRQKQWLIWTDERKNFANRQ GGAAGGAGAGCGAGGACCAATACTGGTCCAAGTACGACGACGCCACC KAAPGGVAAAPGVFAPRPAFGAPS ATCCAAACCCTGACCGTCGCCGAGCGCAACCAGTGGTTCAAGTGGAAG GFAPRPGFAAPSQPPRYSFAAASG GAGAGGATCTACCGCGAGGGCATCGAGTGGAAGAACTGGATCGCCAT YVAPSATSEAAPATSEAPASAEATT CAAGGAGAGCAAGTTCGTGAACGCCAACTGGAACTCCTGGTCTGAGTG ALSSETTTPVNPEETAASPEAATPV GAAGAACGAGAAAAGGCTGGAGTTCAACGACTGGATCGAGGCCTTCG NPEETAASSETTTVNPEATPVNPEA TCGAGAAGTGGATCCGCCAAAAGCAGTGGCTGATCTGGACCGACGAG PVAEPEKKEEEPAAEPLLAIEPAQT AGGAAGAACTTCGCCAACCGCCAAAAGGCTGCTCCAGGCGGCGTGGC EPAALEAAPSTSAHHHHHH TGCCGCCCCAGGCGTCTTCGCCCCACGCCCAGCCTTCGGCGCCCCATCC (SEQ ID NO: 3) GGCTTCGCCCCAAGGCCAGGCTTCGCTGCTCCAAGCCAGCCACCACGC TACTCCTTCGCTGCCGCCAGCGGCTACGTGGCTCCATCCGCTACCAGCG AGGCTGCTCCAGCCACCTCCGAGGCCCCAGCCAGCGCCGAGGCTACCA CCGCTCTCTCCAGCGAGACGACCACCCCAGTCAACCCAGAGGAGACGG CTGCTAGCCCGGAGGCTGCTACCCCAGTGAACCCGGAGGAGACGGCT GCCTCCAGCGAGACGACGACGGTCAACCCAGAGGCCACCCCGGTGAA CCCAGAGGCTCCAGTGGCTGAGCCAGAGAAGAAGGAAGAGGAGCCA GCTGCTGAGCCACTGCTCGCTATCGAGCCAGCTCAAACCGAGCCAGCT GCTCTGGAGGCTGCTCCATCCACCAGCGCCCACCACCACCACCACCACT GA (SEQ ID NO: 4)  3 sporozoite PVX_ MQLELEPAPDYESTSPTVPVRLLLH ATGCAGCTGGAGCTGGAGCCAGCCCCAGACTACGAGTCCACCAGCCCA invasion- 088860 DDYAPNAEDMFGPEASQVMTNLYE ACCGTGCCAGTCAGGCTCCTGCTCCACGACGACTACGCCCCAAACGCC associated TIDEDGTTTDGYQNGSDDDQSNQS GAGGACATGTTCGGCCCAGAGGCCTCCCAAGTGATGACCAACCTCTAC protein DSNDDAVMLNYLSNETDSFDELIDEI GAGACGATCGACGAGGACGGCACCACCACCGACGGCTACCAAAACGG 2, DNHKKKKKIYSPLRKPVLKRSDSSD CTCCGACGACGACCAAAGCAACCAGTCCGACAGCAACGACGACGCCGT putative SLSDYELDEVLRQTENEPEEDEDLD CATGCTCAACTACCTGTCCAACGAGACGGACAGCTTCGACGAGCTCATC (SIAP2) LSLEDSFEVINYPWKDILESSPYSTD GACGAGATCGACAACCACAAGAAGAAGAAGAAGATCTACTCCCCACTC HTNEEDFSSLEELELEDPVQEMNFG AGGAAGCCAGTGCTGAAGCGCAGCGACTCCAGCGACTCCCTGAGCGA KLKFFEIGDPDLLIRKTPITPNTKTKS CTACGAGCTCGACGAGGTCCTGCGCCAGACCGAGAACGAGCCAGAGG GLEKNGNNTEASNINQHEKEKMDK AAGACGAGGACCTGGACCTCTCCCTGGAGGACAGCTTCGAGGTCATCA RKRRTHKQFKNPIENFSVTTTYDDF ACTACCCATGGAAGGACATCCTGGAGTCCAGCCCATACAGCACCGACC LKQNGLRDHPSKHQKDSSEPFVLD ACACCAACGAGGAAGACTTCTCCAGCCTGGAGGAGCTGGAGCTGGAG QYNYRNAKFKNVRFYILRMLYDNIK GACCCAGTCCAAGAGATGAACTTCGGCAAGCTGAAGTTCTTCGAGATC DIGLKEFQYLKSHKYEVEEFIKNILRN GGCGACCCAGACCTGCTCATCAGGAAGACCCCAATCACCCCAAACACC NLICLTFSQEDHLFNDAHLLIEKASIK AAGACCAAGTCCGGCCTGGAGAAGAACGGCAACAACACCGAGGCCAG SEHHHHHH (SEQ ID NO: 5) CAACATCAACCAGCACGAGAAGGAGAAGATGGACAAGCGCAAGAGGC GCACCCACAAGCAATTCAAGAACCCAATCGAGAACTTCTCCGTGACCAC CACCTACGACGACTTCCTCAAGCAAAACGGCCTGAGGGACCACCCAAG CAAGCACCAGAAGGACTCCAGCGAGCCATTCGTGCTCGACCAATACAA CTACCGCAACGCCAAGTTCAAGAACGTCAGGTTCTACATCCTCCGCATG CTGTACGACAACATCAAGGACATCGGCCTCAAGGAGTTCCAGTACCTG AAGTCCCACAAGTACGAGGTCGAGGAGTTCATCAAGAACATCCTCAGG AACAACCTCATCTGCCTGACCTTCAGCCAAGAGGACCACCTGTTCAACG ACGCCCACCTGCTCATCGAGAAGGCCTCCATCAAGAGCGAGCACCACC ACCACCACCACTGA (SEQ ID NO: 6)  4 rhoptry PVX_ MNAGDGQGVYGGNGINNPLVYHVQ ATGAACGCTGGCGACGGCCAAGGCGTGTACGGCGGAAACGGCATCAA neck 117880 HGVNIPNSNSDKKASDHTPDEDEDT CAACCCACTCGTGTACCACGTCCAGCACGGCGTCAACATCCCAAACTCC protein 2, YGRTRNKRYMHRNPGEKYKGSNSP AACAGCGACAAGAAGGCCAGCGACCACACCCCAGACGAGGACGAGGA putative HDSNDDSGDTEYELNEGDVKRLTP CACCTACGGCAGGACCCGCAACAAGAGGTACATGCACCGCAACCCAG (RON2) KNKKGATTEEVDTYPYGKKTNGSEF GCGAGAAGTACAAGGGCTCCAACAGCCCACACGACTCCAACGACGACA PRMNGSETGHYGYNNTGSGGHND GCGGCGACACCGAGTACGAGCTGAACGAGGGCGACGTGAAGAGGCTC ENGYTPIIVKYDNTHAKNRANEIEEN ACCCCAAAGAACAAGAAGGGCGCCACCACCGAGGAAGTGGACACCTA LNKGEYSRIKMAKGKKGQKSGGYE CCCATACGGCAAGAAGACCAACGGCAGCGAGTTCCCACGCATGAACG SDGEDSDVDSSNVFYVDNGQDMLI GCTCCGAGACGGGCCACTACGGCTACAACAACACCGGCAGCGGCGGC KEKMSRSEGPDEMSEEGLNVKYKA CACAACGACGAGAACGGCTACACCCCAATCATCGTGAAGTACGACAAC QRGPVNYHFSNYMNLDKRNTLSSN ACCCACGCCAAGAACAGGGCCAACGAGATCGAGGAGAACCTCAACAA EIELQKMIGPKFSEEVNKYCRLNEPS GGGCGAGTACTCCCGCATCAAGATGGCCAAGGGCAAGAAGGGCCAAA SKKGEFLNVSFEYSRALEELRSEMI AGTCCGGCGGCTACGAGAGCGACGGCGAGGACTCCGACGTCGACTCC NELQKRKAVGSNYYNNILNAIYTSM AGCAACGTGTTCTACGTCGACAACGGCCAGGACATGCTGATCAAGGAG NRKNANFGRDAYEDKSFISEANSFR AAGATGTCCAGGAGCGAGGGCCCAGACGAGATGAGCGAGGAAGGCC NEEMQPLSAKYNKILROYLCHVFVG TCAACGTGAAGTACAAGGCCCAAAGGGGCCCAGTCAACTACCACTTCT NPGVNQLERLYFHNLALGELIEPIRR CCAACTACATGAACCTGGACAAGCGCAACACCCTCTCCAGCAACGAGA KYNKLASSSVGLNYEIYIASSSNIYLM TCGAGCTCCAGAAGATGATCGGCCCAAAGTTCAGCGAGGAAGTGAAC GHLLMLSLAYLSYNSYFVQGLKPFY AAGTACTGCAGGCTGAACGAGCCATCCAGCAAGAAGGGCGAGTTCCTC SLETMLMANSDYSFFMYNEVCNVY AACGTCTCCTTCGAGTACAGCAGGGCCCTGGAGGAGCTGAGGTCCGA YHPKGTFNKDITFIPIESRPGRHSTY GATGATCAACGAGCTGCAAAAGCGCAAGGCCGTGGGCAGCAACTACT VGERKVTCDLLELILNAYTLINVHEIQ ACAACAACATCCTCAACGCCATCTACACCTCCATGAACAGGAAGAACGC KVFNTSEAYGYENSISFGHNAVRIFS CAACTTCGGCCGCGACGCCTACGAGGACAAGTCCTTCATCAGCGAGGC QVCPRDDAKNTFGCDFEKSTLYNS CAACAGCTTCAGGAACGAGGAGATGCAACCACTCTCCGCCAAGTACAA KVLKMDEGDKENQRSLKRAFDMLR CAAGATCCTGCGCCAGTACCTCTGCCACGTGTTCGTCGGCAACCCAGGC TFAEIESTSHLGDPSPNYISLIFEQNL GTGAACCAACTGGAGCGCCTGTACTTCCACAACCTCGCCCTGGGCGAG YTDFYKYLFWYDNRELINVQIRNAG CTGATCGAGCCAATCAGGCGCAAGTACAACAAGCTGGCCTCCAGCTCC RRKKGKKVKFVYDEFVKRGKQLKD GTCGGCCTCAACTACGAGATCTACATCGCCAGCTCCAGCAACATCTACC KLIKIDAKYNARSKALLVFYALVDKYA TCATGGGCCACCTCCTGATGCTCAGCCTGGCCTACCTGTCCTACAACAG NIFRKSENVRKFFLNDVSSIRHHLYL CTACTTCGTGCAGGGCCTCAAGCCATTCTACTCCCTCGAAACCATGCTC NSVLTKSPKSNLDSMKKTLEELQSL ATGGCCAACTCCGACTACAGCTTCTTCATGTACAACGAGGTGTGCAACG TNAPLKFIVRGNNLKFLNNVAKFENL TCTACTACCACCCAAAGGGCACCTTCAACAAGGACATCACCTTCATCCC FYVNLFIMSSLSRKHHHHHH AATCGAGAGCAGGCCAGGCAGGCACTCCACCTACGTGGGCGAGAGGA (SEQ ID NO: 7) AGGTCACCTGCGACCTCCTGGAGCTCATCCTGAACGCCTACACCCTGAT CAACGTGCACGAGATCCAAAAGGTCTTCAACACCAGCGAGGCCTACGG CTACGAGAACTCCATCAGCTTCGGCCACAACGCCGTGAGGATCTTCTCC CAGGTCTGCCCACGCGACGACGCCAAGAACACCTTCGGCTGCGACTTC GAGAAGAGCACCCTGTACAACTCCAAGGTGCTCAAGATGGACGAGGG CGACAAGGAGAACCAGAGGTCCCTGAAGCGCGCCTTCGACATGCTCCG CACCTTCGCCGAGATCGAGTCCACCAGCCACCTCGGCGACCCAAGCCC AAACTACATCTCCCTGATCTTCGAGCAAAACCTCTACACCGACTTCTACA AGTACCTGTTCTGGTACGACAACAGGGAGCTCATCAACGTGCAGATCC GCAACGCCGGCAGGCGCAAGAAGGGCAAGAAGGTGAAGTTCGTCTAC GACGAGTTCGTCAAGAGGGGCAAGCAACTGAAGGACAAGCTCATCAA GATCGACGCCAAGTACAACGCCCGCAGCAAGGCCCTCCTGGTGTTCTA CGCCCTGGTCGACAAGTACGCCAACATCTTCAGGAAGTCCGAGAACGT GCGCAAGTTCTTCCTCAACGACGTCTCCAGCATCAGGCACCACCTCTAC CTGAACAGCGTGCTGACCAAGTCCCCAAAGAGCAACCTCGACAGCATG AAGAAGACCCTGGAGGAGCTGCAGTCCCTCACCAACGCCCCACTGAAG TTCATCGTCAGGGGCAACAACCTGAAGTTCCTCAACAACGTGGCCAAG TTCGAGAACCTGTTCTACGTGAACCTCTTCATCATGTCCAGCCTCTCCCG CAAGCACCACCACCACCACCACTGA (SEQ ID NO: 8)  5 Plasmodium PVX_ MNVNKKSSGEENNTKQALGLRVSR ATGAACGTCAACAAGAAGTCCAGCGGCGAGGAGAACAACACCAAGCA exported 101530 TLAKDGANENAEEGLSEEEEEAVEE AGCTCTGGGCCTGAGGGTGTCCCGCACCCTCGCTAAGGACGGCGCCAA protein, GEEEAVEEGEEEVVEEEGEEVVEG CGAGAACGCCGAGGAAGGCCTCAGCGAGGAAGAGGAAGAGGCCGTC unknown EEEEVVEGEEEVVEDEEVVEGEEYA GAGGAAGGCGAGGAAGAGGCCGTGGAGGAAGGCGAGGAAGAGGTG function EGEEPVEGEEYAEGEEPVEGEEPV GTCGAGGAAGAGGGCGAGGAAGTGGTCGAGGGCGAGGAAGAGGAA VEEYAEGEEPVEGEEYAEGEEPV GTGGTGGAGGGGGAGGAAGAGGTGGTGGAGGATGAGGAAGTGGTG EGEEVVEGEEVVEGEEVAEGEEVA GAGGGCGAGGAGTACGCTGAGGGCGAGGAGCCGGTGGAGGGGGAG EGEEVAEGEEAVEGEEVAEGEEVA GAGTACGCCGAGGGGGAGGAGCCAGTGGAGGGCGAGGAGCCAGTGG EGEEVAEGEEAAEEGAAEEGATEE AGGTGGAGGAGTACGCGGAGGGGGAGGAGCCGGTGGAAGGTGAGG GATEEGATKEEATEKAAEGEETAES AGTACGCCGAGGGCGAGGAGCCTGTCGAGGGGGAGGAAGTGGTGGA EKPAEEQPTTFVETVEKKVEPVSKP AGGCGAGGAAGTGGTGGAAGGTGAGGAAGTGGCTGAGGGCGAGGA PFKPLFPVDEKYLETLEDIAQSFLKE AGTGGCCGAGGGGGAGGAAGTGGCCGAGGGCGAGGAAGCCGTGGA FQEAEGKRKQKKVKKRAKKITKKLA GGGCGAGGAAGTGGCGGAGGGGGAGGAAGTGGCGGAAGGCGAGGA KEYAKKFKSKKKHHHHHH AGTGGCCGAAGGCGAGGAAGCCGCTGAGGAAGGCGCTGCCGAGGAA (SEQ ID NO: 9) GGCGCCACGGAGGAAGGCGCTACCGAGGAAGGCGCCACCAAGGAAG AGGCCACCGAGAAGGCTGCTGAGGGCGAGGAGACGGCTGAGTCCGA GAAGCCAGCTGAGGAGCAACCAACCACCTTCGTGGAGACGGTCGAGA AGAAGGTGGAGCCAGTCAGCAAGCCACCATTCAAGCCACTCTTCCCAG TCGACGAGAAGTACCTCGAAACCCTGGAGGACATCGCCCAATCCTTCCT GAAGGAGTTCCAAGAGGCCGAGGGCAAGAGGAAGCAGAAGAAGGTG AAGAAGCGCGCCAAGAAGATCACCAAGAAGCTCGCCAAGGAGTACGC CAAGAAGTTCAAGTCCAAGAAGAAGCACCACCACCACCACCACTGA (SEQ ID NO: 10)  6 trypto- PVX_ MPKPDQKNLKGGVKNAPLQQRKGS ATGCCAAAGCCAGACCAAAAGAACCTCAAGGGCGGCGTGAAGAACGC phan/ 112680 VPINPPKPVNDKLKDGSNKTETKNA CCCACTGCAACAGAGGAAGGGCTCCGTGCCAATCAACCCACCAAAGCC threo- KNTLSKPPMQVTDKSKDEAKKTPLQ AGTCAACGACAAGCTCAAGGACGGCAGCAACAAGACCGAGACGAAGA nine- STPKLTPKTKEVPKESNMEMWLKDT ACGCCAAGAACACCCTGTCCAAGCCACCAATGCAAGTGACCGACAAGA rich KDEYENLKCQYRTCLYDWFRKINDE GCAAGGACGAGGCCAAGAAGACCCCACTCCAGTCCACCCCAAAGCTGA antigen YNELLNKLEEKWAKFPNDPKNKDVF CCCCAAAGACCAAGGAAGTGCCAAAGGAGAGCAACATGGAGATGTGG DNLKTSSLKNDEKKAQWMRKNLKD CTCAAGGACACCAAGGACGAGTACGAGAACCTCAAGTGCCAGTACAG LMREQVDEWLEGKKKIYEGMSPTY GACCTGCCTGTACGACTGGTTCCGCAAGATCAACGACGAGTACAACGA WDAWEKKIAKGLMGAAWYKMNSS GCTCCTGAACAAGCTGGAGGAGAAGTGGGCCAAGTTCCCAAACGACC GRTKEWDKLRNELETRYNKKIKSLW CAAAGAACAAGGACGTGTTCGACAACCTCAAGACCTCCAGCCTGAAGA GGFHRDVYFRFKEWIEEVFNKWIEN ACGACGAGAAGAAGGCCCAGTGGATGAGGAAGAACCTCAAGGACCTG KQIDTWMNSGKKHHHHHH ATGAGGGAGCAGGTGGACGAGTGGCTGGAGGGCAAGAAGAAGATCT (SEQ ID NO: 11) ACGAGGGCATGTCCCCAACCTACTGGGACGCCTGGGAGAAGAAGATC GCTAAGGGCCTGATGGGCGCTGCTTGGTACAAGATGAACTCCTCCGGC AGGACCAAGGAGTGGGACAAGCTCAGGAACGAGCTCGAAACCCGCTA CAACAAGAAGATCAAGTCCCTCTGGGGCGGCTTCCACAGGGACGTGTA CTTCCGCTTCAAGGAGTGGATCGAGGAAGTGTTCAACAAGTGGATCGA GAACAAGCAAATCGACACCTGGATGAACAGCGGCAAGAAGCACCACC ACCACCACCACTGA (SEQ ID NO: 12)  7 hypothe- PVX_ MQYSIVKNEITKRRKPKIRNESPPDG ATGCAATACTCCATCGTGAAGAACGAGATCACCAAGAGGCGCAAGCCA tical 097715 NSPGGGKNNAAGNNGGGDNNAKN AAGATCAGGAACGAGTCCCCACCAGACGGCAACAGCCCAGGCGGCGG protein KAANKAANNAANKAANNAANNAAN CAAGAACAACGCTGCTGGCAACAACGGCGGCGGCGACAACAACGCCA NAANNAANNAANNAANNAANNAAN AGAACAAGGCTGCTAACAAGGCTGCTAACAACGCCGCCAACAAGGCC NAANNAANNANEQNGNKKKKGKPK GCCAACAACGCTGCTAACAACGCCGCGAACAACGCCGCCAACAACGCC KEEADLPVQAQNENDRNKIEDIADE GCCAACAACGCAGCTAACAACGCCGCTAACAACGCGGCCAACAACGCC AELFAEEAKMLADLASKRSKEVEQIL GCGAACAACGCGGCGAACAACGCTGCCAACAACGCCAACGAGCAAAA SSIPENKFGSEPKEDAIFAAKDAVRA CGGCAACAAGAAGAAGAAGGGCAAGCCAAAGAAGGAAGAGGCCGAC SEDAMKAAQKARAAETVTQANEEK CTCCCAGTGCAAGCCCAGAACGAGAACGACAGGAACAAGATCGAGGA DKAKTAKELAERSAQIVKKNAVEALK CATCGCTGACGAGGCTGAGCTGTTCGCTGAGGAAGCCAAGATGCTCGC EFGKIAEAAEMEAIKIPIPENLKPKKK CGACCTGGCCTCCAAGCGCAGCAAGGAAGTGGAGCAGATCCTCTCCAG VKQPRAAAQKVEPTQATAHKVVPP CATCCCAGAGAACAAGTTCGGCTCCGAGCCAAAGGAAGACGCCATCTT PAEPPRAPSPPPPPAKPEAAPPAKE CGCTGCTAAGGACGCCGTGAGGGCTAGCGAGGACGCCATGAAGGCTG VAPAVTTPEAPKEEAPKADAAPAAP CTCAAAAGGCCAGGGCCGCTGAGACGGTCACCCAGGCCAACGAGGAG QPAAESKVAKEPTDQSAENQSDSL AAGGACAAGGCTAAGACCGCTAAGGAGCTGGCTGAGAGGTCCGCTCA YKETNIKEGTEEAGTGQEQKQEPEL AATCGTGAAGAAGAACGCCGTCGAGGCCCTGAAGGAGTTCGGCAAGA QNLLEQQMNIFYILVQFFKSKIKALIK TCGCCGAGGCCGCCGAGATGGAGGCCATCAAGATCCCAATCCCAGAG FLLILVSHHHHHH AACCTGAAGCCAAAGAAGAAGGTGAAGCAACCAAGGGCCGCCGCCCA (SEQ ID NO: 13) AAAGGTGGAGCCAACCCAAGCTACCGCTCACAAGGTGGTGCCACCACC AGCTGAGCCACCACGCGCCCCATCCCCACCACCACCACCAGCTAAGCCA GAGGCTGCCCCACCAGCTAAGGAAGTGGCTCCAGCTGTCACCACCCCA GAGGCTCCAAAGGAAGAGGCCCCAAAGGCTGACGCTGCTCCAGCTGC CCCACAGCCAGCCGCCGAGTCCAAGGTCGCCAAGGAGCCAACCGACCA GAGCGCCGAGAACCAATCCGACAGCCTCTACAAGGAGACGAACATCAA GGAAGGCACCGAGGAAGCCGGCACCGGCCAAGAGCAGAAGCAAGAG CCAGAGCTCCAAAACCTCCTGGAGCAACAGATGAACATCTTCTACATCC TGGTGCAGTTCTTCAAGTCCAAGATCAAGGCCCTCATCAAGTTCCTCCT GATCCTGGTCAGCCATCACCACCACCACCACTGA (SEQ ID NO: 14)  8 41K blood PVX_ MDENTGWPIDYEFNSKTLPSIEVKLS ATGGACGAGAACACCGGCTGGCCAATCGACTACGAGTTCAACTCCAAG stage 084420 PPENPLPQVAAEIKLLESARLKLEEG ACCCTGCCAAGCATCGAGGTGAAGCTCTCCCCACCAGAGAACCCACTG antigen MMQKLEDEYNKSLSSAKIKIQDTVE CCACAAGTCGCCGCCGAGATCAAGCTCCTGGAGAGCGCCCGCCTCAAG precursor KSLSIFNDPNMLGSVISNSVKMLRSE CTCGAAGAGGGCATGATGCAGAAGCTGGAGGACGAGTACAACAAGTC 41-3, NVKKRTENVQAKHNLKKMQTVNQA CCTGTCCAGCGCCAAGATCAAGATCCAAGACACCGTGGAGAAGTCCCT putative KSGPLPPPELRKHTSFLEQNYVNRV CAGCATCTTCAACGACCCAAACATGCTGGGCTCCGTGATCTCCAACAGC LPSVKISLSELTEPSVEIKEKIEEMEQ GTCAAGATGCTCAGGAGCGAGAACGTGAAGAAGCGCACCGAGAACGT YRTDEEVAMFEMAISEFSILTDITILE CCAGGCCAAGCACAACCTCAAGAAGATGCAGACCGTCAACCAAGCCAA LEKQIQLQLNPFLVDKKVVHRALTKE GAGCGGCCCACTCCCACCACCAGAGCTGCGCAAGCACACCTCCTTCCTG LKELEQREEKQKIKENFQRQSSFIEA GAGCAAAACTACGTGAACAGGGTCCTGCCATCCGTGAAGATCTCCCTC GEDEDTGNILNVKISQTDYGYPTVD AGCGAGCTGACCGAGCCAAGCGTCGAGATCAAGGAGAAGATCGAGGA ELVMQMQKRRDISEKLERQKILDLQ GATGGAGCAGTACAGGACCGACGAGGAAGTGGCCATGTTCGAGATGG MKLLKAQSEMIKDALHFALSKVIAQY CCATCTCCGAGTTCAGCATCCTCACCGACATCACCATCCTGGAGCTGGA SPLVETMKLESMRMLHHHHHH GAAGCAAATCCAGCTCCAACTGAACCCATTCCTCGTCGACAAGAAGGT (SEQ ID NO: 15) GGTCCACAGGGCCCTGACCAAGGAGCTCAAGGAGCTGGAGCAGCGCG AGGAGAAGCAAAAGATCAAGGAGAACTTCCAGAGGCAATCCAGCTTC ATCGAGGCTGGCGAGGACGAGGACACCGGCAACATCCTCAACGTGAA GATCTCCCAGACCGACTACGGCTACCCAACCGTGGACGAGCTCGTCAT GCAGATGCAAAAGAGGCGCGACATCTCCGAGAAGCTGGAGCGCCAGA AGATCCTCGACCTGCAGATGAAGCTCCTGAAGGCCCAGAGCGAGATGA TCAAGGACGCCCTCCACTTCGCCCTGTCCAAGGTCATCGCCCAATACAG CCCACTCGTCGAGACGATGAAGCTGGAGAGCATGAGGATGCTCCACCA CCACCACCACCACTGA (SEQ ID NO: 16)  9 rhoptry- PVX_ MSSDGKSSASAKSGSKSGSKYGGS ATGAGCAGCGACGGCAAGTCCAGCGCTTCCGCTAAGTCCGGCAGCAA associ- 085930 SYSDYSAYDSGSASSVGSREFENE GTCCGGCAGCAAGTACGGCGGCTCCAGCTACTCCGACTACAGCGCCTA ated  MYEFALQHPMEKLTKEMDILKNDYT CGACTCCGGCAGCGCCTCCAGCGTGGGCAGCCGCGAGTTCGAGAACG protein 1, KVKEEEGKILDEEHKEIEEKRKEERL AGATGTACGAGTTCGCCCTGCAACACCCGATGGAGAAGCTCACCAAGG putative KMLAEGDVEKNKGDEEINFIKHDYT AGATGGACATCCTGAAGAACGACTACACCAAGGTGAAGGAAGAGGAA (RAP1) DTRIRGGFTEFLSNLNPFKKEIKPMK GGCAAGATCCTCGACGAGGAGCACAAGGAGATCGAGGAGAAGAGGA KEISLITYIPDKIVNKEKIMRDLGISHK AGGAAGAGCGCCTCAAGATGCTGGCCGAGGGCGACGTGGAGAAGAA YEPYQQSILYTCPNSVFFFDSMENL CAAGGGCGACGAGGAGATCAACTTCATCAAGCACGACTACACCGACAC RKELDKNHEKEAITNKILDHNKECLK CAGGATCCGCGGCGGCTTCACCGAGTTCCTCTCCAACCTGAACCCATTC NFGLFDFELPDNKTKLGNVIGSIGEY AAGAAGGAGATCAAGCCGATGAAGAAGGAGATCTCCCTCATCACCTAC HVRLYEIENDLLKYQPSLDYMTLAD ATCCCAGACAAGATCGTCAACAAGGAGAAGATCATGCGCGACCTGGG DYKLVKNDVNTLENVNFCLLNPKTL CATCTCCCACAAGTACGAGCCATACCAACAGAGCATCCTCTACACCTGC EDFLKKKEIMELMGEDPIAYEEKFTK CCAAACTCCGTGTTCTTCTTCGACAGCATGGAGAACCTCAGGAAGGAG YMEESINCHLESLIYEDLDSSQDTKI CTGGACAAGAACCACGAGAAGGAAGCCATCACCAACAAGATCCTCGAC VLKNVKSKLYLLONGLTYKSKKLINK CACAACAAGGAGTGCCTCAAGAACTTCGGCCTGTTCGACTTCGAGCTCC LFNEIQKNPEPIFEKLTWIYENMYHL CAGACAACAAGACCAAGCTGGGCAACGTCATCGGCTCCATCGGCGAGT KRDYTFLAFKTVCDKYVSHNSIYTSL ACCACGTGAGGCTCTACGAGATCGAGAACGACCTCCTGAAGTACCAAC QGMTSYIIEYTRLYGACFKNITIYNAV CAAGCCTGGACTACATGACCCTCGCCGACGACTACAAGCTGGTGAAGA ISGIHEQMKNLMKLMPRSGLLSDVH ACGACGTCAACACCCTGGAGAACGTGAACTTCTGCCTCCTGAACCCAA FEALLHKENKKITRTDYVLNDYDPSV AGACCCTGGAGGACTTCCTCAAGAAGAAGGAGATCATGGAGCTGATG KAYALTQVERLPMVSVINSFFEAKKK GGCGAGGACCCAATCGCCTACGAGGAGAAGTTCACCAAGTACATGGA ALSKMLAQMKLDLFTLTNEDLKIPND GGAGTCCATCAACTGCCACCTGGAGAGCCTGATCTACGAGGACCTCGA KGANSKLTAKLISIYKAEIKKYFKEMR CTCCAGCCAAGACACCAAGATCGTGCTCAAGAACGTCAAGTCCAAGCT DDYVFLIKARYKGHYKKNYLLYKRLE GTACCTCCTGCAGAACGGCCTCACCTACAAGAGCAAGAAGCTCATCAA HHHHHH (SEQ ID NO: 17) CAAGCTGTTCAACGAGATCCAGAAGAACCCAGAGCCAATCTTCGAGAA GCTCACCTGGATCTACGAGAACATGTACCACCTGAAGCGCGACTACAC CTTCCTCGCCTTCAAGACCGTGTGCGACAAGTATGTGTCCCACAACAGC ATCTACACCTCCCTGCAAGGCATGACCAGCTACATCATCGAGTACACCA GGCTCTACGGCGCCTGCTTCAAGAACATCACCATCTACAACGCCGTCAT CTCCGGCATCCACGAGCAGATGAAGAACCTCATGAAGCTGATGCCAAG GTCCGGCCTCCTGAGCGACGTGCACTTCGAGGCCCTCCTGCACAAGGA GAACAAGAAGATCACCCGCACCGACTACGTGCTCAACGACTACGACCC ATCCGTCAAGGCCTACGCCCTGACCCAAGTGGAGAGGCTCCCAATGGT GTCCGTCATCAACAGCTTCTTCGAGGCCAAGAAGAAGGCCCTCAGCAA GATGCTGGCCCAGATGAAGCTCGACCTGTTCACCCTGACCAACGAGGA CCTCAAGATCCCAAACGACAAGGGCGCCAACTCCAAGCTCACCGCCAA GCTGATCAGCATCTACAAGGCCGAGATCAAGAAGTACTTCAAGGAGAT GAGGGACGACTACGTCTTCCTGATCAAGGCCCGCTACAAGGGGCACTA CAAGAAGAACTACCTCCTGTACAAGCGCCTGGAGCACCACCACCACCA CCACTGA (SEQ ID NO: 18) 10 hypothe- PVX_ MNTRASKFANSKRKRNGNAMRENK ATGAACACCAGGGCCTCCAAGTTCGCCAACAGCAAGAGGAAGCGCAA tical 094830 LNNDDVDHYSFLSLRTANEEKAATE CGGCAACGCCATGCGCGAGAACAAGCTCAACAACGACGACGTGGACC protein, NDSNNAKKEGEENTNGNEKKNEEN ACTACTCCTTCCTCAGCCTGAGGACCGCTAACGAGGAGAAGGCTGCTA conserved GSGNEKRNEENNANEKKNEQTNDQ CCGAGAACGACTCCAACAACGCCAAGAAGGAAGGCGAGGAGAACACC SNGQSNSQTNIPKKNEAVPPEKKIN AACGGCAACGAGAAGAAGAACGAGGAGAACGGCAGCGGCAACGAGA KENLLEYGTHDKDGHFIPSYKTLTDE AGCGCAACGAGGAGAACAACGCTAACGAGAAGAAGAACGAGCAAACC ILSTNNSLERASSFLKIACSHIMKIVE AACGACCAGTCCAACGGCCAATCCAACAGCCAGACCAACATCCCAAAG FIPESKLSSQYIKVESKNVYIKDITSE AAGAACGAGGCCGTCCCACCAGAGAAGAAGATCAACAAGGAGAACCT CQNIFFSLEKLTMTMIVLNSKMNKLV CCTGGAGTACGGCACCCACGACAAGGACGGCCACTTCATCCCAAGCTA YVQDKHHHHHH CAAGACCCTCACCGACGAGATCCTGTCCACCAACAACAGCCTGGAGAG (SEQ ID NO: 19) GGCCTCCAGCTTCCTGAAGATCGCCTGCTCCCACATCATGAAGATCGTG GAGTTCATCCCAGAGTCCAAGCTGTCCAGCCAATACATCAAGGTGGAG AGCAAGAACGTCTACATCAAGGACATCACCTCCGAGTGCCAGAACATC TTCTTCAGCCTGGAGAAGCTGACCATGACCATGATCGTCCTCAACAGCA AGATGAACAAGCTGGTCTACGTGCAAGACAAGCACCACCACCACCACC ACTGA (SEQ ID NO: 20) 11 trypto- PVX_ MPKPAQNLKGGVKKPSLQQTKSPL ATGCCAAAGCCAGCCCAAAACCTCAAGGGCGGCGTGAAGAAGCCATC phan-rich 511267 PSKPPKPVNDKLKDDSNKTETKDAK CCTCCAACAGACCAAGTCCCCACTGCCAAGCAAGCCACCAAAGCCAGT antigen NGLNKPPKNINDKVKDGENKTPSQD CAACGACAAGCTCAAGGACGACAGCAACAAGACCGAGACGAAGGACG (Pv-fam-a) LNEPSFKLPMRQKASSWDAWLKGT CCAAGAACGGCCTGAACAAGCCACCAAAGAACATCAACGACAAGGTG KKDYENLKCFAKGNLYDWLCSVRD AAGGACGGCGAGAACAAGACCCCATCCCAAGACCTCAACGAGCCAAG SFELYLOSLESKWTSCSDNTTTVFL CTTCAAGCTGCCAATGAGGCAAAAGGCCTCCAGCTGGGACGCTTGGCT CECLAESSGWGDPQWESWVKKEL CAAGGGCACCAAGAAGGACTACGAGAACCTGAAGTGCTTCGCCAAGG KEQLKTEAQAWISTKKKDFDGLTSK GCAACCTCTACGACTGGCTGTGCTCCGTCCGCGACAGCTTCGAGCTCTA YFSLWKDHRRKELEEEAWKTKASS CCTGCAATCCCTGGAGAGCAAGTGGACCTCCTGCAGCGACAACACCAC GGLSEWEELTDKMNTRYTNNLDNM CACCGTGTTCCTCTGCGAGTGCCTCGCTGAGTCCAGCGGCTGGGGCGA WSNYSGDLLFRFDEWSPEVLEKWI CCCACAGTGGGAGTCCTGGGTCAAGAAGGAGCTCAAGGAGCAACTGA ESKQWNQWVKKVRKHHHHHH AGACCGAGGCCCAGGCCTGGATCAGCACCAAGAAGAAGGACTTCGAC (SEQ ID NO: 21) GGCCTCACCTCCAAGTACTTCAGCCTGTGGAAGGACCACAGGCGCAAG GAGCTGGAGGAAGAGGCCTGGAAGACCAAGGCCTCCAGCGGCGGCCT CTCCGAGTGGGAGGAGCTGACCGACAAGATGAACACCAGGTACACCA ACAACCTCGACAACATGTGGTCCAACTACAGCGGCGACCTCCTGTTCCG CTTCGACGAGTGGTCCCCAGAGGTGCTGGAGAAGTGGATCGAGAGCA AGCAGTGGAACCAGTGGGTGAAGAAGGTCAGGAAGCACCACCACCAC CACCACTGA (SEQ ID NO: 22) 12 trypto- PVX_ MVTEGGDNLDDDLGGDLEGLLGDD ATGGTGACCGAGGGCGGCGACAACCTCGACGACGACCTCGGCGGCGA phan-rich 112670 AEGGAAGGEGAAAAASAEGLSGEV CCTGGAGGGCCTCCTGGGCGACGACGCTGAGGGCGGCGCCGCCGGCG antigen ENELLYVKEDDDDAPAATPDEKPST GCGAGGGCGCTGCCGCCGCCGCCTCCGCCGAGGGCCTGAGCGGCGAG (Pv-fam-a) SGEETPAAFVDLVNETVPPPAKAPL GTGGAGAACGAGCTCCTCTACGTGAAGGAAGACGACGACGACGCTCC PLQTKAPQGPKIKDWNQWMKQAKK AGCTGCTACCCCAGACGAGAAGCCATCCACCAGCGGCGAGGAGACGC DFSGYKGTMHTQRHEWTKEKEDEL CAGCTGCTTTCGTGGACCTCGTCAACGAGACGGTGCCACCACCAGCTA QKFCKYLEKRWMNYTGNIDRECRS AGGCCCCACTCCCACTGCAAACCAAGGCCCCACAGGGCCCAAAGATCA DFLKSTQNWNESQWNKWVKSEGK AGGACTGGAACCAGTGGATGAAGCAGGCCAAGAAGGACTTCTCCGGC HHMNKQFQKWLDYNKYKLQDWTN TACAAGGGCACCATGCACACCCAAAGGCACGAGTGGACCAAGGAGAA TEWNKWKTTVKEQLDDEEWKKKEA GGAAGACGAGCTGCAGAAGTTCTGCAAGTACCTGGAGAAGCGCTGGA AGKTKEWIKCTDKMEKKCLKKTKKH TGAACTACACCGGCAACATCGACAGGGAGTGCCGCTCCGACTTCCTGA CKNWEKKANSSFKKWEGDFTKKWT AGAGCACCCAAAACTGGAACGAGTCCCAGTGGAACAAGTGGGTGAAG SNKQWNSWCKELEKHHHHHH AGCGAGGGCAAGCACCACATGAACAAGCAATTCCAGAAGTGGCTGGA (SEQ ID NO: 23) CTACAACAAGTACAAGCTCCAAGACTGGACCAACACCGAGTGGAACAA GTGGAAGACCACCGTCAAGGAGCAGCTGGACGACGAGGAGTGGAAG AAGAAGGAAGCCGCCGGCAAGACCAAGGAGTGGATCAAGTGCACCGA CAAGATGGAGAAGAAGTGCCTCAAGAAGACCAAGAAGCACTGCAAGA ACTGGGAGAAGAAGGCCAACTCCAGCTTCAAGAAGTGGGAGGGCGAC TTCACCAAGAAGTGGACCTCCAACAAGCAGTGGAACAGCTGGTGCAAG GAGCTGGAGAAGCACCACCACCACCACCACTGA (SEQ ID NO: 24) 13 Hyp, huge PVX_ mAVEVVQEAADEVLEEEKIEEPLEIV ATGGCTGTGGAGGTGGTCCAAGAGGCCGCTGACGAGGTGCTCGAAGA list of 002550 EEEPVQVAAEEPVEEVLEEVVQEAA GGAGAAGATCGAGGAGCCACTGGAGATCGTGGAGGAAGAGCCAGTG orthologs, DEVMEEEKIEEPLEIVAEEPLEIVAEE CAAGTCGCCGCCGAGGAGCCAGTCGAGGAAGTGCTCGAAGAGGTGGT paralogs, PVQVAAEEVLVEKEEVNENILNIVEEI GCAAGAGGCCGCCGACGAGGTCATGGAGGAAGAGAAGATCGAGGAG synteny KESIVDKLEANEEASEEGNEDLLESA CCTCTGGAGATCGTCGCTGAAGAACCTCTGGAGATCGTGGCTGAGGAG with  EEAAEEVAEEAVDTTTEADVVETVE CCTGTGCAGGTGGCTGCCGAGGAAGTGCTGGTCGAGAAGGAAGAGGT PyLSA3 EEAANATTEVSAEESLEVSTEAPEE GAACGAGAACATCCTCAACATCGTGGAGGAGATCAAGGAGAGCATCG (PyLSA3syn- TTESESHETFEEDILKNLEENKEANE TCGACAAGCTGGAGGCCAACGAGGAAGCCAGCGAGGAAGGCAACGA 2) NALEDIKEMKEEFLDYVEQRVEDNE GGACCTCCTGGAGTCCGCTGAGGAAGCCGCTGAGGAAGTGGCTGAGG NVLVDLLQHLERNAHVNESVLEDLE AAGCCGTGGACACCACCACCGAGGCTGACGTGGTGGAGACGGTGGAG EIKEDLLANIQMAEETRKEVTDASAE GAAGAGGCCGCTAACGCTACCACCGAGGTGTCCGCTGAGGAGAGCCT SAEEVEEPVEVSAEVAAEEPVEVAA GGAGGTGTCCACCGAGGCTCCAGAGGAGACGACCGAGTCCGAGAGCC EEPVEVTAEEPVEVTAEEPVEIPTEE ACGAGACGTTCGAGGAAGACATCCTGAAGAACCTGGAGGAGAACAAG NIFDVIEEIKEKVLENLEETTAESVAE GAAGCCAACGAGAACGCCCTGGAGGACATCAAGGAGATGAAGGAAG SVGEGADENALDVLKEMQESLLENF AGTTCCTCGACTACGTGGAGCAAAGGGTCGAGGACAACGAGAACGTG GQKIEANENILASVLENIQEKVELNK CTGGTCGACCTCCTGCAGCACCTGGAGCGCAACGCCCACGTGAACGAG SVLVDVLAELKEEAVSQRETAQEVA AGCGTCCTGGAGGACCTGGAGGAGATCAAGGAAGACCTCCTGGCCAA AELVEEAAEVPAVEPVEEEVVEPAV CATCCAAATGGCCGAGGAGACGAGGAAGGAAGTGACCGACGCTTCCG EVVEEPVEEEVVEPVVDVIEEPAVE CTGAGAGCGCTGAGGAAGTGGAGGAGCCCGTCGAGGTGTCCGCTGAG VVEVPVEETVEEPVEVTAEEPVEVT GTGGCTGCTGAGGAGCCTGTCGAGGTGGCCGCCGAGGAGCCAGTGGA AEEPVEETVEEPVVEVVEEPVEEPV GGTCACCGCTGAGGAGCCTGTTGAGGTGACGGCTGAGGAGCCAGTGG VEAIEEPVVEPVVEPAVEVIEDATEE AGATCCCAACCGAGGAGAACATCTTCGACGTGATCGAGGAGATCAAG PVEEAAEEPDVEVAEGSAIESVEEA GAGAAGGTCCTGGAGAACCTGGAGGAGACGACCGCTGAGAGCGTGG FEQIIEDAAQVIAEESVEETAEQILEQ CTGAGTCCGTGGGCGAGGGCGCTGACGAGAACGCCCTGGACGTGCTC ATQAVTEEAADAADVADAEEAVGTA AAGGAGATGCAAGAGAGCCTCCTGGAGAACTTCGGCCAGAAGATCGA QVVTEESVAEAIEDTVEEISAEPIQAT GGCCAACGAGAACATCCTGGCCAGCGTGCTGGAGAACATCCAGGAGA IEGIVGEVVESVEENIEAVEEAIKDIV AGGTCGAGCTGAACAAGTCCGTGCTCGTCGACGTGCTGGCCGAGCTCA EGAVEGAPELSLEEMIEDVMVGTVA AGGAAGAGGCCGTGTCCCAAAGGGAGACGGCTCAAGAGGTGGCTGCT EEDSAKEAAEETVEEVVQEDAAEEE GAGCTGGTGGAGGAAGCCGCTGAGGTCCCAGCTGTGGAGCCAGTCGA AAKEAAEETVEEAEREATQEAVEET GGAAGAGGTGGTGGAGCCAGCTGTGGAGGTGGTGGAGGAGCCTGTG VEDVVEEVSAEAVEEIVLETPEGTSD GAGGAAGAGGTGGTCGAGCCAGTGGTCGACGTGATCGAGGAGCCTGC ESVETVVEHAVEDSLGETIATIVDDV CGTGGAGGTCGTGGAGGTCCCAGTGGAGGAGACGGTCGAGGAGCCT AEETTEKSEESVVDNLGVKVEEVLD GTGGAGGTTACCGCGGAGGAGCCTGTGGAGGTCACGGCCGAGGAGCC VDVEEVAQEAADDVIMRVSENESEG TGTCGAGGAGACGGTGGAGGAGCCAGTGGTCGAGGTGGTCGAGGAG ESGAESGEEVEELESALFEVEKDIKK CCAGTTGAGGAGCCTGTGGTCGAGGCCATCGAGGAGCCCGTCGTCGA KVLDMFSGNVEFDEKESEKLALDLQ GCCAGTGGTCGAGCCAGCCGTCGAGGTCATCGAGGACGCTACGGAGG KNLLShhhhhh AGCCCGTGGAGGAAGCCGCCGAGGAGCCGGACGTGGAGGTGGCTGA (SEQ ID NO: 25) GGGCAGCGCTATCGAGTCCGTGGAGGAAGCCTTCGAGCAAATCATCG AGGACGCCGCCCAAGTGATCGCTGAGGAGAGCGTGGAGGAGACGGCT GAGCAAATCCTGGAGCAAGCCACCCAGGCCGTGACCGAGGAAGCCGC TGACGCTGCTGACGTGGCTGACGCTGAGGAAGCCGTGGGCACCGCTC AAGTCGTCACCGAGGAGAGCGTGGCTGAGGCTATCGAGGACACCGTC GAGGAGATCTCCGCCGAGCCAATCCAGGCCACCATCGAGGGCATCGTG GGCGAGGTCGTCGAGTCCGTCGAGGAGAACATCGAGGCCGTGGAGGA AGCCATCAAGGACATCGTGGAGGGCGCTGTGGAGGGCGCTCCAGAGC TCAGCCTGGAGGAGATGATCGAGGACGTCATGGTGGGCACCGTGGCT GAGGAAGACTCCGCTAAGGAAGCCGCTGAGGAGACGGTGGAGGAAG TGGTGCAAGAGGACGCTGCTGAGGAAGAGGCCGCCAAGGAAGCCGCC GAAGAGACGGTGGAGGAAGCCGAGAGGGAGGCTACCCAAGAGGCCG TCGAGGAGACGGTTGAGGACGTGGTCGAGGAAGTGTCCGCTGAGGCT GTGGAGGAGATCGTCCTCGAAACCCCGGAGGGCACCTCCGACGAGAG CGTGGAGACGGTGGTGGAGCACGCTGTGGAGGACTCCCTGGGCGAGA CGATCGCCACCATCGTGGACGACGTCGCCGAGGAGACGACCGAGAAG TCCGAGGAGAGCGTGGTCGACAACCTGGGCGTCAAGGTGGAGGAAGT GCTCGACGTCGACGTGGAGGAAGTGGCCCAAGAGGCCGCCGACGACG TGATCATGCGCGTCAGCGAGAACGAGTCCGAGGGCGAGAGCGGCGCT GAGTCCGGCGAGGAAGTGGAGGAGCTGGAGAGCGCCCTCTTCGAGGT GGAGAAGGACATCAAGAAGAAGGTCCTCGACATGTTCAGCGGCAACG TGGAGTTCGACGAGAAGGAGTCCGAGAAGCTCGCCCTGGACCTCCAG AAGAACCTCCTGTCCCACCACCACCACCACCACTGA (SEQ ID NO: 26) 14 conserved PVX_ mTYMLMKDDDSHDDKDDENEEKKK ATGACCTACATGCTCATGAAGGACGACGACTCCCACGACGACAAGGAC Plasmodium 090970 KEGKTNKDTNKIIKGESMTREDLLQL GACGAGAACGAGGAGAAGAAGAAGAAGGAAGGCAAGACCAACAAGG protein, LNEMLKLQTDMKNIVKDLIVVAKKNS ACACCAACAAGATCATCAAGGGCGAGAGCATGACCAGGGAGGACCTC unknown YDFMSVYNVAKTYNTVDPLGKYQIE CTGCAACTCCTGAACGAGATGCTCAAGCTGCAGACCGACATGAAGAAC function MPEFDKVVENYHFDPEVKETVSKLM ATCGTCAAGGACCTCATCGTGGTCGCCAAGAAGAACTCCTACGACTTCA SSQENYYANMSETATLNVDKIIEIHH TGAGCGTGTACAACGTCGCCAAGACCTACAACACCGTGGACCCACTGG FMLNELYKIDPEFKKIPNKHELDPKLI GCAAGTACCAAATCGAGATGCCAGAGTTCGACAAGGTGGTCGAGAAC ALVIQSIVSAKVEEEFNLTSEDVEASI TACCACTTCGACCCAGAGGTGAAGGAGACGGTGTCCAAGCTCATGTCC ANQQYALTSNMEFARVNIQMQTIMN AGCCAGGAGAACTACTACGCCAACATGAGCGAGACGGCCACCCTGAA KFMGDhhhhhh (SEQ ID NO: 27) CGTCGACAAGATCATCGAGATCCACCACTTCATGCTCAACGAGCTGTAC AAGATCGACCCAGAGTTCAAGAAGATCCCAAACAAGCACGAGCTGGAC CCAAAGCTCATCGCCCTCGTGATCCAATCCATCGTGAGCGCCAAGGTCG AGGAAGAGTTCAACCTCACCTCCGAGGACGTCGAGGCCAGCATCGCCA ACCAACAGTACGCCCTGACCTCCAACATGGAGTTCGCCCGCGTGAACA TCCAAATGCAGACCATCATGAACAAGTTCATGGGCGACCACCACCACC ACCACCACTGA (SEQ ID NO: 28) 15 conserved PVX_ mAGGVSEEAIKKLKEIKKLELDILKDF ATGGCCGGCGGCGTCAGCGAGGAAGCCATCAAGAAGCTCAAGGAGAT Plasmodium 084815 MKQDAGHADLYKKYHCIASDYISGN CAAGAAGCTGGAGCTGGACATCCTGAAGGACTTCATGAAGCAAGACG protein, PKGSSAEGPNLAKKGEKSKKGEKH CCGGCCACGCCGACCTCTACAAGAAGTACCACTGCATCGCCAGCGACT unknown QNGEKPQNGEKPKKSFIEKIASFVSI ACATCTCCGGCAACCCAAAGGGCTCCAGCGCTGAGGGCCCAAACCTGG function FSYNNVSKIYSEHVORIFPKARDHA CCAAGAAGGGCGAGAAGAGCAAGAAGGGCGAGAAGCACCAAAACGG GDGSAGDAIYPDDKIETGKKQNQSS CGAGAAGCCACAGAACGGCGAGAAGCCAAAGAAGTCCTTCATCGAGA YVQLSALNLMKRNMFLGGKDKSSE AGATCGCCTCCTTCGTGAGCATCTTCTCCTACAACAACGTCAGCAAGAT HFEVGNLGSFYMIFGARNTDYPWA CTACTCCGAGCACGTGCAAAGGATCTTCCCAAAGGCCCGCGACCACGC CSCDPLQLIDYKEKKRNYVLCSNQV TGGCGACGGCAGCGCCGGCGACGCCATCTACCCAGACGACAAGATCG DMSIQNADLFCNPKhhhhhh AGACGGGCAAGAAGCAAAACCAGTCCAGCTACGTCCAGCTCTCCGCCC (SEQ ID NO: 29) TCAACCTGATGAAGCGCAACATGTTCCTGGGCGGCAAGGACAAGTCCA GCGAGCACTTCGAAGTGGGCAACCTCGGCAGCTTCTACATGATCTTCG GCGCCAGGAACACCGACTACCCATGGGCCTGCTCCTGCGACCCACTCC AGCTGATCGACTACAAGGAGAAGAAGCGCAACTACGTGCTCTGCAGCA ACCAAGTCGACATGTCCATCCAGAACGCCGACCTGTTCTGCAACCCAAA GCACCACCACCACCACCACTGA (SEQ ID NO: 30) 16 trypto- PVX_ mVSCTSLCLYIIYSLFLLNNVSLSIQV ATGGTGTCCTGCACCAGCCTCTGCCTGTACATCATCTACAGCCTCTTCCT phan- 090270 KTNEIKNGONGSVQLKEKGGGVNL CCTGAACAACGTGTCCCTGAGCATCCAAGTCAAGACCAACGAGATCAA rich APKVGTNITQKRDTKMAKKTVTKVA GAACGGCCAAAACGGCTCCGTCCAGCTCAAGGAGAAGGGCGGCGGCG antigen KKKVTKVAEKTGTKVADKTGTKVAD TGAACCTGGCTCCAAAGGTCGGCACCAACATCACCCAGAAGAGGGACA (Pv-fam-a) KTGTKVADKTGTKVAEKTGTKVADK CCAAGATGGCCAAGAAGACCGTGACCAAGGTCGCCAAGAAGAAGGTC TGTKVAEKTGTNISQKEDEKGPPKE ACGAAGGTCGCCGAGAAGACCGGCACCAAGGTGGCCGACAAGACCGG DTQGTQKADAKAIQQADAQVSEKW CACCAAGGTCGCTGATAAGACGGGGACGAAGGTCGCTGATAAGACCG KKKEWKEWIKKAESDLDIFNALMDN GGACGAAGGTGGCTGAGAAGACGGGGACGAAGGTTGCTGATAAGAC EKEKKWYSEKEKEWNKWIKGVEKK GGGGACCAAGGTGGCTGAGAAGACCGGCACCAACATCAGCCAAAAGG WMHYNKNIYVEYRSLVFWVGLKWV AAGACGAGAAGGGCCCACCAAAGGAAGACACCCAAGGCACCCAGAAG ESQWEKWILSDGLEFLVMDWKKWI GCCGACGCCAAGGCCATCCAACAGGCCGACGCCCAGGTGAGCGAGAA KENKSNFDEWLKSEWDTWTNSQM GTGGAAGAAGAAGGAGTGGAAGGAGTGGATCAAGAAGGCCGAGTCC EEWKSSNWKLNEDKRWEMWENDK GACCTCGACATCTTCAACGCCCTGATGGACAACGAGAAGGAGAAGAA KWIKWLYLKDWINCSKWKKRIQKES GTGGTACAGCGAGAAGGAGAAGGAGTGGAACAAGTGGATCAAGGGC KEWLRWTKLKEEMYhhhhhh GTGGAGAAGAAGTGGATGCACTACAACAAGAACATCTACGTCGAGTA (SEQ ID NO: 31) CAGGTCCCTCGTGTTCTGGGTCGGCCTGAAGTGGGTGGAGTCCCAATG GGAGAAGTGGATCCTCAGCGACGGCCTGGAGTTCCTGGTCATGGACTG GAAGAAGTGGATCAAGGAGAACAAGTCCAACTTCGACGAGTGGCTCA AGAGCGAGTGGGACACCTGGACCAACTCCCAGATGGAGGAGTGGAAG TCCAGCAACTGGAAGCTGAACGAGGACAAGCGCTGGGAGATGTGGGA GAACGACAAGAAGTGGATCAAGTGGCTCTACCTGAAGGACTGGATCA ACTGCAGCAAGTGGAAGAAGAGGATCCAAAAGGAGTCCAAGGAGTG GCTCCGCTGGACCAAGCTGAAGGAAGAGATGTACCACCACCACCACCA CCACTGA (SEQ ID NO: 32) 17 apical PVX_ mGEDAEVENAKYRIPAGRCPVFGK ATGGGCGAGGACGCCGAGGTGGAGAACGCCAAGTACAGGATCCCAGC membrane 092275 GIVIENSDVSFLRPVATGDQKLKDG TGGCAGGTGCCCAGTGTTCGGCAAGGGCATCGTCATCGAGAACTCCGA antigen GFAFPNANDHISPMTLANLKERYKD CGTGAGCTTCCTCCGCCCAGTGGCTACCGGCGACCAAAAGCTGAAGGA 1, AMA1 NVEMMKLNDIALCRTHAASFVMAGD CGGCGGATTCGCCTTCCCAAACGCCAACGACCACATCTCCCCAATGACC (Orthologs QNSSYRHPAVYDEKEKTCHMLYLS CTCGCCAACCTGAAGGAGAGGTACAAGGACAACGTGGAGATGATGAA with Pf AQENMGPRYCSPDAQNRDAVFCFK GCTCAACGACATCGCTCTGTGCAGGACCCACGCTGCTAGCTTCGTGATG vaccine PDKNESFENLVYLSKNVRNDWDKK GCTGGCGACCAGAACTCCAGCTACAGGCACCCAGCCGTCTACGACGAG candidates) CPRKNLGNAKFGLWVDGNCEEIPY AAGGAGAAGACCTGCCACATGCTCTACCTGTCCGCCCAAGAGAACATG VKEVEAEDLRECNRIVFGASASDQP GGCCCAAGGTACTGCTCCCCAGACGCTCAGAACAGGGACGCTGTCTTC TQYEEEMTDYQKIQQGFRQNNREM TGCTTCAAGCCAGACAAGAACGAGTCCTTCGAGAACCTCGTGTACCTG IKSAFLPVGAFNSDNFKSKGRGFNW AGCAAGAACGTCAGGAACGACTGGGACAAGAAGTGCCCACGCAAGAA ANFDSVKKKCYIFNTKPTCLINDKNFI CCTCGGCAACGCCAAGTTCGGCCTGTGGGTGGACGGCAACTGCGAGG ATTALSHPQEVDLEFPCSIYKDEIER AGATCCCATACGTGAAGGAAGTGGAGGCCGAGGACCTCAGGGAGTGC EIKKQSRNMNLYSVDGERIVLPRIFIS AACAGGATCGTCTTCGGCGCTTCCGCTAGCGACCAACCAACCCAGTAC NDKESIKCPCEPERISNSTCNFYVC GAGGAAGAGATGACCGACTACCAAAAGATCCAACAGGGCTTCAGGCA NCVEKRAEIKENNQVVIKEEFRDYY GAACAACCGCGAGATGATCAAGTCCGCCTTCCTCCCAGTGGGCGCCTT ENGEEKSNKQhhhhhh CAACTCCGACAACTTCAAGAGCAAGGGCCGCGGCTTCAACTGGGCCAA (SEQ ID NO: 33) CTTCGACAGCGTGAAGAAGAAGTGCTACATCTTCAACACCAAGCCAAC CTGCCTGATCAACGACAAGAACTTCATCGCCACCACCGCCCTCTCCCAC CCACAAGAGGTCGACCTGGAGTTCCCATGCAGCATCTACAAGGACGAG ATCGAGAGGGAGATCAAGAAGCAGTCCCGCAACATGAACCTCTACAGC GTGGACGGCGAGAGGATCGTCCTGCCACGCATCTTCATCTCCAACGAC AAGGAGAGCATCAAGTGCCCATGCGAGCCAGAGAGGATCTCCAACAG CACCTGCAACTTCTACGTGTGCAACTGCGTCGAGAAGAGGGCCGAGAT CAAGGAGAACAACCAAGTGGTCATCAAGGAAGAGTTCAGGGACTACT ACGAGAACGGCGAGGAGAAGTCCAACAAGCAGCACCACCACCACCAC CACTGA (SEQ ID NO: 34) 18 hypothe- PVX_ mNGNRNLNIKPTCHKSGKNDKANG ATGAACGGCAACAGGAACCTGAACATCAAGCCAACCTGCCACAAGAGC tical 084720 SDNIANKGGAQHAANGATGTPSGS GGCAAGAACGACAAGGCCAACGGCTCCGACAACATCGCTAACAAGGG protein SNGKKGATTTSASAGQAGASGGMA CGGCGCCCAACACGCTGCTAACGGCGCCACCGGCACCCCAAGCGGCTC APGMNPNFEQMMKPLNDMFKGNG CAGCAACGGCAAGAAGGGCGCTACGACCACCAGCGCTTCCGCTGGCC EGLNIENIMNSDMFQNFFNSLMGGN AAGCTGGCGCTTCCGGCGGCATGGCCGCCCCAGGCATGAACCCAAACT PHDGAGGGQEILFKDMLNAMNAQG TCGAGCAGATGATGAAGCCACTGAACGACATGTTCAAGGGCAACGGC GGAPGAAATSGGANKDPNISVSPE GAGGGCCTCAACATCGAGAACATCATGAACAGCGACATGTTCCAGAAC QLNKINQLKDKLENVLKNVGVDVEQ TTCTTCAACTCCCTGATGGGCGGCAACCCACACGACGGCGCTGGCGGC LKENMQNENIMQNKDALRDLLANLP GGCCAAGAGATCCTGTTCAAGGACATGCTCAACGCCATGAACGCCCAA MNPGMMQNMMAGKDGNMFNMDP GGCGGCGGCGCCCCAGGCGCTGCCGCCACCTCCGGCGGCGCCAACAA NQMMNMFNQLSQGKMNMKDFGM GGACCCAAACATCAGCGTCTCCCCAGAGCAGCTGAACAAGATCAACCA GDFMPPPVHANDQDAEDDSRGKAF ACTCAAGGACAAGCTGGAGAACGTGCTCAAGAACGTGGGCGTCGACG VTNSSNNDINFAHKLNAFEYSNGPS TGGAGCAGCTCAAGGAGAACATGCAAAACGAGAACATCATGCAGAAC EGMFQLYGMNNDDGVIDDGMSDSV AAGGACGCTCTGAGGGACCTCCTGGCTAACCTCCCGATGAACCCAGGC GKNSALDVSGGSINRNLSDGDSAKE ATGATGCAAAACATGATGGCCGGCAAGGACGGCAACATGTTCAACATG DSDESNANATSNSNATVPNKGGHE GACCCAAACCAGATGATGAACATGTTCAACCAACTCAGCCAGGGCAAG GGSANEVYSNEEELITSSGSKGDAN ATGAACATGAAGGACTTCGGCATGGGCGACTTCATGCCACCACCAGTC KLAGTGGYKNNNAFLDLNNLKKDAS CACGCCAACGACCAAGACGCTGAGGACGACTCCCGCGGCAAGGCTTTC AAKYGKDNSGDKSNGGNSNGGNN GTGACCAACTCCAGCAACAACGACATCAACTTCGCCCACAAGCTGAAC KVMNKRIGGKKKKTFKKKKNPGQIP GCCTTCGAGTACAGCAACGGCCCATCCGAGGGCATGTTCCAGCTCTAC FKMETLQKLVKEYTNTSNQKIMEKII GGCATGAACAACGACGACGGCGTCATCGACGACGGCATGAGCGACTC KKYVSMSNQSARGNSEEEDDEEEA CGTCGGCAAGAACAGCGCTCTGGACGTGAGCGGCGGCTCCATCAACA EDEKSAKDKNSEKEAELNMNEFSVK GGAACCTCAGCGACGGCGACTCCGCCAAGGAAGACAGCGACGAGTCC DIKKLISEGILTYEDLTEEELKKLAKP AACGCCAACGCCACCAGCAACTCCAACGCCACCGTCCCAAACAAGGGC DDMFYELSPYANEEKDLSLNETSGV GGCCACGAGGGCGGCAGCGCTAACGAGGTGTACTCCAACGAGGAAGA SNEQLNAFLRKNGSYHMSYDSKAID GCTGATCACCTCCAGCGGCTCCAAGGGCGACGCTAACAAGCTGGCTGG YLKQKKAEKKEEEQEDDNFYDAYK CACCGGCGGCTACAAGAACAACAACGCCTTCCTCGACCTGAACAACCT QIKNSYEGIPSNYYHDAPQLIGENYV GAAGAAGGACGCCAGCGCCGCCAAGTACGGCAAGGACAACAGCGGC FTSVYDKKKELIDFLKRSNGATDSSN GACAAGTCCAACGGCGGCAACTCCAACGGCGGCAACAACAAGGTCAT SSAGKDKGNSAESGTYKSKYYDKY GAACAAGCGCATCGGCGGCAAGAAGAAGAAGACCTTCAAGAAGAAGA MKKLSEYRRREAFKILKKRRAQEKK AGAACCCAGGCCAAATCCCATTCAAGATGGAGACGCTCCAGAAGCTGG MQKKQEMQNNSSNEVDYSEYFKKN TCAAGGAGTACACCAACACCAGCAACCAAAAGATCATGGAGAAGATCA GFINSSNGTVKTFSKDQLDNMVKQF TCAAGAAGTATGTGTCCATGTCCAACCAGAGCGCCAGGGGCAACTCCG NSDGDDIPSSSGAGADLGDNYSGV AGGAAGAGGACGACGAGGAAGAGGCCGAGGACGAGAAGAGCGCCAA SGGGQFSPSGGSGNNPSGYVTFD GGACAAGAACTCCGAGAAGGAAGCCGAGCTGAACATGAACGAGTTCA GQNIVGPNENEEEEPTEDVLNEDDD GCGTCAAGGACATCAAGAAGCTCATCTCCGAGGGCATCCTGACCTACG NADDDDhhhhhh AGGACCTCACCGAGGAAGAGCTCAAGAAGCTGGCCAAGCCAGACGAC (SEQ ID NO: 35) ATGTTCTACGAGCTCAGCCCATACGCCAACGAGGAGAAGGACCTCTCC CTGAACGAGACGAGCGGCGTGTCCAACGAGCAACTGAACGCCTTCCTC CGCAAGAACGGCTCCTACCACATGAGCTACGACTCCAAGGCCATCGAC TACCTGAAGCAAAAGAAGGCCGAGAAGAAGGAAGAGGAGCAAGAGG ACGACAACTTCTACGACGCCTACAAGCAAATCAAGAACAGCTACGAGG GCATCCCATCCAACTACTACCACGACGCCCCACAGCTCATCGGCGAGAA CTACGTCTTCACCAGCGTGTACGACAAGAAGAAGGAGCTGATCGACTT CCTCAAGAGGTCCAACGGCGCTACCGACTCCAGCAACTCCAGCGCTGG CAAGGACAAGGGCAACAGCGCTGAGTCCGGCACCTACAAGAGCAAGT ACTACGACAAGTACATGAAGAAGCTGTCCGAGTACAGGCGCAGGGAG GCCTTCAAGATCCTCAAGAAGCGCAGGGCCCAGGAGAAGAAGATGCA AAAGAAGCAGGAGATGCAAAACAACTCCAGCAACGAGGTGGACTACT CCGAGTACTTCAAGAAGAACGGCTTCATCAACTCCAGCAACGGCACCG TCAAGACCTTCAGCAAGGACCAACTGGACAACATGGTGAAGCAGTTCA ACTCCGACGGCGACGACATCCCATCCAGCTCCGGCGCTGGCGCTGACC TCGGCGACAACTACAGCGGCGTGTCCGGCGGCGGCCAATTCAGCCCAT CCGGCGGCAGCGGCAACAACCCATCCGGCTACGTCACCTTCGACGGCC AGAACATCGTGGGCCCAAACGAGAACGAGGAAGAGGAGCCAACCGA GGACGTGCTCAACGAGGACGACGACAACGCCGACGACGACGACCACC ACCACCACCACCACTGA (SEQ ID NO: 36) 19 merozoite PVX_ mPLEVSLWGQGNAHLGTQTSRLLR ATGCCGCTGGAGGTGTCCCTGTGGGGCCAGGGCAACGCTCACCTCGGC surface 003770 ESGRNGQANRVNQADQADQVASP ACCCAAACCTCCCGCCTGCTCAGGGAGTCCGGCAGGAACGGCCAGGCC protein 5 PISGKERRRGIGMTSNLQLLSGEDE AACAGGGTGAACCAGGCTGACCAGGCTGACCAAGTGGCTTCCCCACCA KDSTSEEAPNLEGKDNADAGKDGE ATCTCCGGCAAGGAGAGGCGCAGGGGCATCGGCATGACCTCCAACCTC KEPSEKQSGDVDPTVTDAERAKDE CAACTCCTGAGCGGCGAGGACGAGAAGGACTCCACCAGCGAGGAAGC NASVSEEEQMKTLDSGEDHTDDGN CCCAAACCTGGAGGGCAAGGACAACGCTGACGCTGGCAAGGATGGCG ADGGQGGGDGNDENQKGDGKEKE AGAAGGAGCCATCCGAGAAGCAGAGCGGCGACGTGGACCCAACCGTC GGEEKKEDGKDDHEKGEKGSEGES ACCGACGCTGAGAGGGCTAAGGACGAGAACGCTTCCGTCAGCGAGGA GEKDEAAPKGDAAEKDKKLESKTAD AGAGCAGATGAAGACCCTGGACAGCGGCGAGGACCACACCGACGACG AKVSEHKADDANPGGNKDSPEGES GCAACGCTGACGGCGGACAAGGCGGCGGCGACGGCAACGACGAGAA PKEGNPDDPSQKNPEAAGDDDSRL CCAAAAGGGCGACGGCAAGGAGAAGGAAGGCGGCGAGGAGAAGAA HLDNLDDKVPHYSALRNNRVEKGVT GGAAGACGGCAAGGACGACCACGAGAAGGGCGAGAAGGGCTCCGAG DTMVLNDIIGENAKSCSVDNGGCAD GGCGAGAGCGGCGAGAAGGACGAGGCTGCTCCAAAGGGCGACGCTG DQICIRIDNIGIKCICKEGHLFGDKCIL CCGAGAAGGACAAGAAGCTGGAGTCCAAGACCGCCGACGCCAAGGTG TKhhhhhh (SEQ ID NO: 37) AGCGAGCACAAGGCTGACGACGCTAACCCAGGCGGCAACAAGGACTC CCCAGAGGGCGAGAGCCCAAAGGAAGGCAACCCAGACGACCCATCCC AGAAGAACCCGGAGGCTGCTGGCGACGACGACAGCCGCCTCCACCTG GACAACCTCGACGACAAGGTCCCACACTACTCCGCCCTGCGCAACAAC AGGGTGGAGAAGGGCGTCACCGACACCATGGTGCTGAACGACATCAT CGGCGAGAACGCCAAGTCCTGCAGCGTGGACAACGGCGGCTGCGCTG ACGACCAAATCTGCATCAGGATCGACAACATCGGCATCAAGTGCATCT GCAAGGAAGGCCACCTCTTCGGCGACAAGTGCATCCTGACCAAGCACC ACCACCACCACCACTGA (SEQ ID NO: 38) 20 TRAg (Pv- PVX_ mDVLQLVIPSEEDIQLDKPKKDELGS ATGGACGTGCTCCAACTGGTCATCCCAAGCGAGGAAGACATCCAGCTC fam-a) 092990 GILSILDVHYQDVPKEFMEEEEETAV GACAAGCCAAAGAAGGACGAGCTGGGCAGCGGCATCCTCTCCATCCTG YPLKPEDFAKEDSQSTEWLTFIQGL GACGTGCACTACCAAGACGTCCCAAAGGAGTTCATGGAGGAAGAGGA EGDWERLEVSLNKARERWMEQRN AGAGACGGCCGTGTACCCACTCAAGCCAGAGGACTTCGCCAAGGAAG KEWAGWLRLIENKWSEYSQISTKGK ACTCCCAAAGCACCGAGTGGCTCACCTTCATCCAAGGCCTGGAGGGCG DPAGLRKREWSDEKWKKWFKAEV ACTGGGAGAGGCTGGAGGTGTCCCTGAACAAGGCCAGGGAGCGCTGG KSQIDSHLKKWMNDTHSNLFKILVK ATGGAGCAAAGGAACAAGGAGTGGGCTGGCTGGCTCAGGCTGATCGA DMSQFENKKTKEWLMNHWKKNER GAACAAGTGGTCCGAGTACAGCCAGATCTCCACCAAGGGCAAGGACC GYGSESFEVMTTSKLLNVAKSREW CGGCTGGCCTCAGGAAGCGCGAGTGGTCCGACGAAAAGTGGAAGAAG YRANPNINRERRELMKWFLLKENEY TGGTTCAAGGCCGAGGTGAAGAGCCAAATCGACTCCCACCTGAAGAA LGQEWKKWTHWKKVKFFVFNSMC GTGGATGAACGACACCCACAGCAACCTCTTCAAGATCCTGGTCAAGGA TTFSGKRLTKEEWNQFVNEIKVhhhh CATGTCCCAGTTCGAGAACAAGAAGACCAAGGAGTGGCTCATGAACCA hh (SEQ ID NO: 39) CTGGAAGAAGAACGAGAGGGGCTACGGCTCCGAGAGCTTCGAGGTCA TGACCACCAGCAAGCTCCTGAACGTCGCCAAGTCCAGGGAGTGGTACC GCGCCAACCCAAACATCAACCGCGAGAGGCGCGAGCTCATGAAGTGG TTCCTCCTGAAGGAGAACGAGTACCTGGGCCAAGAGTGGAAGAAGTG GACCCACTGGAAGAAGGTGAAGTTCTTCGTCTTCAACAGCATGTGCAC CACCTTCTCCGGCAAGCGCCTGACCAAGGAAGAGTGGAACCAGTTCGT GAACGAGATCAAGGTCCACCACCACCACCACCACTGA (SEQ ID NO: 40) 21 unspeci- PVX_ mEAMPKFPQNNLKGGLKDSPLKQP ATGGAGGCCATGCCAAAGTTCCCACAAAACAACCTCAAGGGCGGCCTG fied 112690 KSPLINGPPKPVNDKLKDDSNKTET AAGGACTCCCCACTCAAGCAGCCAAAGAGCCCACTGATCAACGGCCCA product KDAKNGLNKPPKNINDKVKDGENKT CCAAAGCCAGTGAACGACAAGCTCAAGGACGACTCCAACAAGACCGA PSQDLNEPSFKLPMRQKESSWYTW GACGAAGGACGCCAAGAACGGCCTGAACAAGCCACCAAAGAACATCA LKGTKKDYETLKCFAKGNLYDWLCN ACGACAAGGTCAAGGACGGCGAGAACAAGACCCCATCCCAAGACCTC VRESFDLYLQSLEKKWTTCSDSATT AACGAGCCAAGCTTCAAGCTGCCAATGAGGCAGAAGGAGTCCAGCTG LFLCECFAESSGWNDSQWGNWMN GTACACCTGGCTCAAGGGCACCAAGAAGGACTACGAGACGCTGAAGT NQLKEQLKTEAEAWISTKKKDFDGL GCTTCGCCAAGGGCAACCTCTACGACTGGCTGTGCAACGTGCGCGAGT TSKYFSLWKDHRRKELDADEWKNK CCTTCGACCTCTACCTGCAAAGCCTGGAGAAGAAGTGGACCACCTGCT VSSGGLSEWEELTNKMNTRYRNNL CCGACAGCGCTACCACCCTCTTCCTGTGCGAGTGCTTCGCCGAGTCCAG DNMWSHFSRDLFFNFDEWAPQVLE CGGCTGGAACGACTCCCAGTGGGGCAACTGGATGAACAACCAACTCAA KWIENKQWNRWVKKVRKhhhhhh GGAGCAGCTGAAGACCGAGGCCGAGGCCTGGATCAGCACCAAGAAGA (SEQ ID NO: 41) AGGACTTCGACGGCCTCACCTCCAAGTACTTCAGCCTGTGGAAGGACC ACAGGCGCAAGGAGCTCGACGCCGACGAGTGGAAGAACAAGGTGTCC AGCGGCGGCCTCAGCGAGTGGGAGGAGCTGACCAACAAGATGAACAC CAGGTACCGCAACAACCTCGACAACATGTGGTCCCACTTCAGCAGGGA CCTGTTCTTCAACTTCGACGAGTGGGCCCCACAAGTCCTGGAGAAGTG GATCGAGAACAAGCAGTGGAACCGCTGGGTGAAGAAGGTCCGCAAGC ACCACCACCACCACCACTGA (SEQ ID NO: 42) 22 petidase, PVX_ mQKAPNNGKNNYGLNDDELGAILF ATGCAAAAGGCCCCAAACAACGGCAAGAACAACTACGGCCTCAACGAC M16 091710 GLNYDSIAKNKDNLEKRKNVENESIF GACGAGCTGGGCGCCATCCTCTTCGGCCTGAACTACGACAGCATCGCC family LRNFANEDTSKNTQSEKAQKEIKIET AAGAACAAGGACAACCTGGAGAAGAGGAAGAACGTCGAGAACGAGT ETESVNSNEKEVATSQKSDTSNKNS CCATCTTCCTGCGCAACTTCGCCAACGAGGACACCAGCAAGAACACCC SVENEKIELKNDELLGKNFEKDKVN AATCCGAGAAGGCCCAGAAGGAGATCAAGATCGAGACGGAGACGGA KKGDNTNTTNNHDLTNSSEKQGVDI GTCCGTCAACAGCAACGAGAAGGAAGTGGCCACCTCCCAGAAGAGCG RGSKNMNNYLQKTGDTNIEKSESLQ ACACCTCCAACAAGAACTCCAGCGTCGAGAACGAGAAGATCGAGCTGA KDVNIKNHNEEANDAKRLDSAQTNN AGAACGACGAGCTCCTGGGCAAGAACTTCGAGAAGGACAAGGTGAAC EKSKISKDTIDKDVQSNELTNLASNR AAGAAGGGCGACAACACCAACACCACCAACAACCACGACCTCACCAAC SNKKSQGLAKKENELKSANLEENHN TCCAGCGAGAAGCAAGGCGTCGACATCAGGGGCAGCAAGAACATGAA AKKDLLKKDQKREDGKKITHPENSN CAACTACCTCCAAAAGACCGGCGACACCAACATCGAGAAGTCCGAGAG SDQYGVQVSLNDEEKNTNTKSVSH CCTGCAGAAGGACGTGAACATCAAGAACCACAACGAGGAAGCCAACG SEDHSASYSGEKFGTHVSNSQKDM ACGCCAAGAGGCTGGACAGCGCCCAGACCAACAACGAGAAGAGCAAG LKNIRPVQFDESAYGKLNGGSPEND ATCTCCAAGGACACCATCGACAAGGACGTGCAATCCAACGAGCTCACC ENEILNKINKNNENNFSEKVALRKGT AACCTGGCCAGCAACCGCTCCAACAAGAAGAGCCAGGGCCTCGCCAA KDRNEYEYFKLKSNDFKVLGIINKYS GAAGGAGAACGAGCTCAAGTCCGCCAACCTGGAGGAGAACCACAACG SRGGFSISVDCGGYDDFDEVPGVS CCAAGAAGGACCTCCTGAAGAAGGACCAAAAGAGGGAGGACGGCAA NLLQHAIFYKSEKRNTTLLSELGKYS GAAGATCACCCACCCAGAGAACTCCAACAGCGACCAATACGGCGTGCA SEYNSCTSESSTSYYATAHSEDIYHL AGTGTCCCTGAACGACGAGGAGAAGAACACCAACACCAAGTCCGTCA LNLFAENLFYPVFSEEHIQNEVKEIN GCCACTCCGAGGACCACAGCGCTTCCTACAGCGGCGAGAAGTTCGGCA NKYISIENNLESCLKIASQYITNFKYS CCCACGTCTCCAACAGCCAAAAGGACATGCTCAAGAACATCCGCCCAG KFFVNGNYTTLCENVLKNRLSIKNIL TGCAGTTCGACGAGAGCGCTTACGGCAAGCTCAACGGCGGCTCCCCAG TEFHKKCYQPRNMSLTILLGNKVNT AGAACGACGAGAACGAGATCCTGAACAAGATCAACAAGAACAACGAG ADHYNMKDVENMVVHIFGKIKNESY AACAACTTCAGCGAGAAGGTGGCCCTCAGGAAGGGCACCAAGGACCG PIDGDVIGKRINRMESERVNLYGKK CAACGAGTACGAGTACTTCAAGCTCAAGTCCAACGACTTCAAGGTCCT DSYNDANFIHIEGRNEKEAAFLQSM GGGCATCATCAACAAGTACTCCAGCAGGGGCGGCTTCTCCATCAGCGT NELHYALDLNOKSRYVEIIKKEEWG GGACTGCGGCGGATACGACGACTTCGACGAGGTGCCAGGCGTCTCCA DQLYLYWSSKTNAELCKKIEEFGSM ACCTCCTGCAACACGCCATCTTCTACAAGAGCGAGAAGCGCAACACCA TFLREIFSDFRRNGLYYKISVENKYV CCCTCCTGTCCGAGCTCGGCAAGTACTCCAGCGAGTACAACAGCTGCA YDLEVTSICNKYYLNFGILVKLTQRG CCTCCGAGTCCAGCACCAGCTACTACGCCACCGCCCACTCCGAGGACAT RTNLAHLIHICNVFVNEIGKLFDRDSL CTACCACCTCCTGAACCTCTTCGCCGAGAACCTGTTCTACCCAGTCTTCA DKGISKYILDYYREKALVTDLKFNSD GCGAGGAGCACATCCAAAACGAGGTGAAGGAGATCAACAACAAGTAC NVNVSLDDLVIYSKRLLVHADDPSSL ATCTCCATCGAGAACAACCTGGAGAGCTGCCTGAAGATCGCCTCCCAG LTIHSLIEDKHKNDFRNHIKIThhhhhh TACATCACCAACTTCAAGTACAGCAAGTTCTTCGTCAACGGCAACTACA (SEQ ID NO: 43) CCACCCTCTGCGAGAACGTGCTCAAGAACAGGCTGAGCATCAAGAACA TCCTGACCGAGTTCCACAAGAAGTGCTACCAGCCACGCAACATGTCCCT CACCATCCTCCTGGGCAACAAGGTCAACACCGCCGACCACTACAACAT GAAGGACGTGGAGAACATGGTGGTCCACATCTTCGGCAAGATCAAGA ACGAGTCCTACCCAATCGACGGCGACGTCATCGGCAAGAGGATCAACC GCATGGAGAGCGAGAGGGTCAACCTCTACGGCAAGAAGGACTCCTAC AACGACGCCAACTTCATCCACATCGAGGGCCGCAACGAGAAGGAAGC CGCCTTCCTCCAAAGCATGAACGAGCTGCACTACGCCCTCGACCTGAAC CAGAAGTCCCGCTACGTGGAGATCATCAAGAAGGAAGAGTGGGGCGA CCAACTCTACCTGTACTGGTCCAGCAAGACCAACGCCGAGCTCTGCAA GAAGATCGAGGAGTTCGGCAGCATGACCTTCCTCCGCGAGATCTTCTC CGACTTCAGGCGCAACGGCCTGTACTACAAGATCAGCGTGGAGAACAA GTATGTGTACGACCTGGAGGTGACCTCCATCTGCAACAAGTACTACCTG AACTTCGGCATCCTCGTCAAGCTGACCCAAAGGGGCCGCACCAACCTC GCTCACCTGATCCACATCTGCAACGTGTTCGTCAACGAGATCGGCAAGC TCTTCGACAGGGACAGCCTGGACAAGGGCATCTCCAAGTACATCCTCG ACTACTACCGCGAGAAGGCCCTCGTGACCGACCTGAAGTTCAACAGCG ACAACGTGAACGTCTCCCTCGATGACCTGGTCATCTACAGCAAGAGGC TCCTGGTGCACGCCGACGACCCATCCAGCCTCCTGACCATCCACTCCCT CATCGAGGACAAGCATAAGAACGACTTCCGCAACCACATCAAGATCAC CCACCACCACCACCACCACTGA (SEQ ID NO: 44) 23 rhoptry- PVX_ mKEAVKKGSKKAMKQPMHKPNLLE ATGAAGGAAGCCGTGAAGAAGGGCTCCAAGAAGGCCATGAAGCAACC associated 087885 EEDFEEKESFSDDEMNGFMEESMD AATGCACAAGCCAAACCTCCTGGAGGAAGAGGACTTCGAGGAGAAGG membrane  ASKLDAKKAKTTLRSSEKKKTPTSG AGTCCTTCAGCGACGACGAGATGAACGGCTTCATGGAGGAGTCCATGG antigen, MSGMSGSGATSAATEAATNMNATA ACGCCAGCAAGCTGGACGCCAAGAAGGCCAAGACCACCCTCAGGTCC RAMA MNAAAKGNSEASKKQTDLSNEDLF AGCGAGAAGAAGAAGACCCCAACCTCCGGCATGAGCGGCATGTCCGG NDELTEEVIADSYEEGGNVGSEEAE CAGCGGCGCTACCAGCGCTGCTACCGAGGCCGCCACCAACATGAACGC SLTNAFDDKLLDQGVNENTLLNDNM TACCGCCATGAACGCTGCCGCCAAGGGCAACTCCGAGGCTAGCAAGAA IYNVNMVPHKKRELYISPHKHTSAAS GCAAACCGACCTCTCCAACGAGGACCTGTTCAACGACGAGCTCACCGA SKNGKHHAADADALDKKLRAHELLE GGAAGTGATCGCCGACAGCTACGAGGAAGGCGGCAACGTGGGCTCCG LENGEGSNSVIVETEEVDVDLNGGK AGGAAGCCGAGAGCCTGACCAACGCCTTCGACGACAAGCTCCTGGACC SSGSVSFLSSVVFLLIGLLCFTNhhhh AGGGCGTGAACGAGAACACCCTCCTGAACGACAACATGATCTACAACG hh (SEQ ID NO: 45) TGAACATGGTCCCACACAAGAAGAGGGAGCTCTACATCTCCCCACACA AGCACACCAGCGCCGCCTCCAGCAAGAACGGCAAGCACCACGCTGCTG ACGCTGACGCTCTGGACAAGAAGCTCAGGGCTCACGAGCTCCTGGAGC TGGAGAACGGCGAGGGCTCCAACAGCGTGATCGTCGAGACGGAGGAA GTGGACGTGGACCTGAACGGCGGCAAGTCCTCCGGCTCCGTCAGCTTC CTCTCCAGCGTGGTCTTCCTCCTGATCGGCCTCCTGTGCTTCACCAACCA CCACCACCACCACCACTGA (SEQ ID NO: 46) 24 HP, PVX_ mDDNGRRLPRKAAPPVDKAKQDVM ATGGACGACAACGGCAGGCGCCTCCCAAGGAAGGCTGCCCCACCAGT conserved 003555 KDIVNYLSKNMLAFVRQKRNVSGKE GGACAAGGCCAAGCAGGACGTGATGAAGGACATCGTCAACTACCTCTC GEAPTGPSGAQGGDSSQYASKFTF CAAGAACATGCTGGCCTTCGTGAGGCAAAAGCGCAACGTCTCCGGCAA TDHSVDFSKYNKLDKEKFAAKDDLK GGAAGGCGAGGCTCCAACCGGCCCAAGCGGCGCTCAAGGCGGCGACT SRLKNEVVASMLDTEGDILTEEFGYL CCAGCCAGTACGCCAGCAAGTTCACCTTCACCGACCACTCCGTGGACTT LRNYFDKVKLEEKKSQEAESAKPAE CAGCAAGTACAACAAGCTCGACAAGGAGAAGTTCGCCGCCAAGGACG QEEEAEEAPEQKEEATAEKATEETT ACCTCAAGTCCAGGCTGAAGAACGAGGTGGTCGCCAGCATGCTCGACA EAATEETTEAATEETTEAATEETTEA CCGAGGGCGACATCCTGACCGAGGAGTTCGGCTACCTCCTGCGCAACT ATEETTEAATEETTEAATEETTEAAT ACTTCGACAAGGTCAAGCTGGAGGAGAAGAAGTCCCAAGAGGCCGAG EETTEAATEEATEGATEEGAEETTE AGCGCTAAGCCAGCTGAGCAAGAGGAAGAGGCCGAGGAAGCCCCAG EATEEGAEEATEEGAEEATEEGAEE AGCAAAAGGAAGAGGCCACCGCTGAGAAGGCTACCGAGGAGACGACC TTEEATEEGAEETTEETTEEGAEEE GAGGCTGCCACGGAGGAGACGACGGAGGCCGCCACGGAGGAGACGA ATEEGAEETTEEGAEEAAEEGAEEG CCGAGGCCGCCACCGAGGAGACGACGGAGGCTGCCACTGAAGAGACG AEAATEEATEEATEEATEEATEEAT ACCGAGGCTGCGACGGAAGAGACGACCGAGGCCGCGACGGAAGAGA EEATEEATAEVAEAATPEKVTEEAT CGACTGAGGCTGCCACTGAGGAGACGACGGAAGCTGCTACCGAGGAA EEATEEGDNEPAEQAAEKEEDVKG GCCACCGAGGGCGCTACCGAGGAAGGCGCTGAGGAGACGACGGAGG GLMDNETYYNTLQELYEEIENDDKK AAGCCACGGAGGAAGGCGCTGAGGAAGCCACCGAGGAAGGCGCCGA EKEKIQKAKEQEELEKKLFKESKKG GGAAGCCACGGAGGAAGGCGCAGAGGAGACGACAGAGGAAGCCACG KKKEKKRRKKLCKMAKIVEKYAEEIP GAGGAAGGCGCCGAAGAGACGACCGAAGAGACGACCGAGGAAGGCG KDSERSLRYDKEEHIDDPDEMDDLL CGGAGGAAGAGGCCACTGAGGAAGGCGCCGAGGAGACGACTGAGGA FGEFKTLEKYGTHKTSTFYYEMTCF AGGCGCAGAGGAAGCCGCTGAGGAAGGCGCTGAGGAAGGCGCTGAG DERLRDFEINTKLKEMEEVPEKWEL GCCGCCACGGAGGAAGCCACCGAGGAAGCCACGGAGGAAGCCACGG LSLYWQSYRNERHKYLAVKKYLLEK AGGAAGCCACAGAGGAAGCCACTGAGGAAGCCACAGAGGAAGCCAC FLELKTNQSTEALPKYNKKWKQCEE AGCTGAGGTGGCTGAGGCTGCTACCCCAGAGAAGGTCACAGAGGAAG IVDNNFTKQHEHVNDVFYTFVAKEN CCACAGAGGAAGCCACCGAGGAAGGCGACAACGAGCCAGCTGAGCAG LSRDEFKEILNDVRASWhhhhhh GCTGCTGAGAAGGAAGAGGACGTGAAGGGCGGCCTCATGGACAACG (SEQ ID NO: 47) AGACGTACTACAACACCCTCCAAGAGCTGTACGAGGAGATCGAGAACG ACGACAAGAAGGAGAAGGAGAAGATCCAAAAGGCCAAGGAGCAAGA GGAGCTGGAGAAGAAGCTGTTCAAGGAGTCCAAGAAGGGCAAGAAG AAGGAGAAGAAGAGGCGCAAGAAGCTCTGCAAGATGGCCAAGATCGT CGAGAAGTACGCCGAGGAGATCCCAAAGGACTCCGAGAGGAGCCTGC GCTACGACAAGGAAGAGCACATCGACGACCCAGACGAGATGGACGAC CTCCTGTTCGGCGAGTTCAAGACCCTGGAGAAGTACGGCACCCACAAG ACCTCCACCTTCTACTACGAGATGACCTGCTTCGACGAGAGGCTCCGCG ACTTCGAGATCAACACCAAGCTGAAGGAGATGGAGGAAGTGCCAGAG AAGTGGGAGCTCCTGTCCCTCTACTGGCAGAGCTACAGGAACGAGCGC CACAAGTACCTGGCCGTCAAGAAGTACCTCCTGGAGAAGTTCCTGGAG CTGAAGACCAACCAAAGCACCGAGGCCCTGCCAAAGTACAACAAGAA GTGGAAGCAGTGCGAGGAGATCGTCGACAACAACTTCACCAAGCAAC ACGAGCACGTGAACGACGTCTTCTACACCTTCGTGGCCAAGGAGAACC TCTCCAGGGACGAGTTCAAGGAGATCCTGAACGACGTCCGCGCCAGCT GGCACCACCACCACCACCACTGA (SEQ ID NO: 48) 25 phosphati- PVX_ MRCCTKDAVNVESPKKVVVGETEE ATGAGGTGCTGCACCAAGGACGCCGTCAACGTGGAGTCCCCAAAGAA dylinosi- 117385 DTREEENPYEDLPTVTVTLSDGSVY GGTGGTCGTGGGCGAGACGGAGGAAGACACCAGGGAGGAAGAGAAC tol-4- TGTTKDNRVHGRGVLKYVNGDQYE CCATACGAGGACCTCCCAACCGTCACCGTGACCCTGTCCGACGGCAGC phosphate- GEFVDGKKEGKGKWTDKENNTYEG GTCTACACCGGCACCACCAAGGACAACAGGGTGCACGGCCGCGGCGT 5- DWVKDKRHGHGVYKTAEGFIFEGE CCTCAAGTATGTGAACGGCGACCAATACGAGGGCGAGTTCGTCGACG kinase, FANNKREGKGTIITPEKTKYVCSFQD GCAAGAAGGAAGGCAAGGGCAAGTGGACCGACAAGGAGAACAACAC putative DEEVGEVEFFFANGDHALGYIKDGY CTACGAGGGCGACTGGGTCAAGGACAAGAGGCACGGCCACGGCGTGT LCQNGRYEFKNGDIYVGNFEKGLFH ACAAGACCGCTGAGGGCTTCATCTTCGAGGGCGAGTTCGCCAACAACA GEGYYKWNNDANYTIYEGNYSEGK AGCGCGAGGGCAAGGGCACCATCATCACCCCAGAGAAGACCAAGTAT KHGKGQLINKDGRILCGMFRDNNM GTGTGCAGCTTCCAAGACGACGAGGAAGTGGGCGAGGTGGAGTTCTT DGEFLEISPQGNQTKVLYDKGFFVK CTTCGCCAACGGCGACCACGCCCTCGGCTACATCAAGGACGGCTACCT VLDKIEENLDVQEFLKDSIIHTTIFSD GTGCCAGAACGGCCGCTACGAGTTCAAGAACGGCGACATCTACGTGG PTTYKKLYEITEKKKPQFRLNLKRTQ GCAACTTCGAGAAGGGCCTGTTCCACGGCGAGGGCTACTACAAGTGG PTShhhhhh (SEQ ID NO: 49) AACAACGACGCCAACTACACCATCTACGAGGGCAACTACTCCGAGGGC AAGAAGCACGGCAAGGGCCAACTCATCAACAAGGACGGCAGGATCCT GTGCGGCATGTTCCGCGACAACAACATGGACGGCGAGTTCCTGGAGAT CAGCCCACAAGGCAACCAGACCAAGGTCCTCTACGACAAGGGCTTCTT CGTCAAGGTGCTGGACAAGATCGAGGAGAACCTCGACGTGCAGGAGT TCCTGAAGGACTCCATCATCCACACCACCATCTTCAGCGACCCAACCAC CTACAAGAAGCTGTACGAGATCACCGAGAAGAAGAAGCCACAATTCAG GCTCAACCTGAAGCGCACCCAGCCAACCTCCCACCACCACCACCACCAC TGA (SEQ ID NO: 50) 26 Plasmodium PVX_ mNKLGTSLVEDATANGEFGLRVQRL ATGAACAAGCTGGGCACCAGCCTCGTGGAGGACGCTACCGCTAACGG exported 113225 LGGSRSSRDSIFADSFYDDDDDDDD CGAGTTCGGCCTCCGCGTCCAAAGGCTGCTGGGCGGCTCCAGGTCCAG protein, NNDKLFDYDSDHKSRREVKDRHHR CCGCGACAGCATCTTCGCCGACTCCTTCTACGATGATGACGACGACGAC unknown HRHSHSHRHKRRHSHKHRTSSRSR GACGACAACAACGACAAGCTGTTCGACTACGACAGCGACCACAAGTCC function REKEESSTTNDDDDEVLSLSRFDVD AGGCGCGAGGTGAAGGACAGGCACCACAGGCACAGGCACAGCCACTC DDKDDRSHSRYSVDYDDENDDEPS CCACCGCCACAAGAGGCGCCACAGCCACAAGCACAGGACCTCCAGCCG SSRPASTDYDDIIDLTNARRSGSKYR CTCCAGGCGCGAGAAGGAAGAGTCCAGCACCACCAACGACGACGACG ISSMDIELYPEHEDEYLFEGKRRSG ACGAGGTGCTCAGCCTGTCCAGGTTCGACGTCGACGACGACAAGGAC GVLKKADNYCENKIFDALSALDKYK GACAGGAGCCACTCCCGCTACAGCGTGGACTACGACGACGAGAACGA EYYGEERRVMKQAAYRKATKVFAIP CGACGAGCCATCCAGCTCCAGGCCAGCCTCCACCGACTACGACGACAT GAAALSPLIITLFLTTSNVVALPLAAS CATCGACCTCACCAACGCTAGGCGCAGCGGCTCCAAGTACCGCATCAG AVILGGILYKKSKDKSDYGRPHLKSI CTCCATGGACATCGAGCTCTACCCAGAGCACGAGGACGAGTACCTGTT TYhhhhhh (SEQ ID NO: 51) CGAGGGCAAGAGGCGCAGCGGCGGCGTCCTGAAGAAGGCTGACAACT ACTGCGAGAACAAGATCTTCGACGCCCTCTCCGCCCTGGACAAGTACA AGGAGTACTACGGCGAGGAGAGGCGCGTGATGAAGCAGGCCGCCTAC AGGAAGGCCACCAAGGTCTTCGCTATCCCAGGCGCTGCCGCCCTCAGC CCACTGATCATCACCCTCTTCCTGACCACCAGCAACGTGGTGGCTCTCC CACTGGCTGCTTCCGCCGTCATCCTCGGCGGCATCCTGTACAAGAAGA GCAAGGACAAGTCCGACTACGGCCGCCCACACCTCAAGTCCATCACCT ACCACCACCACCACCACCACTGA (SEQ ID NO: 52) 27 trypto- PVX_ MEAARGVSGLVPSSNSLQEITLRYK ATGGAGGCTGCCAGGGGCGTGTCCGGCCTCGTCCCATCCAGCAACAGC phan- 090265 DKLLNMDKEQMILTLGVTMIAITSAV CTCCAAGAGATCACCCTGCGCTACAAGGACAAGCTCCTGAACATGGAC rich AFGVLATHGDINDFLGVESDEESEK AAGGAGCAGATGATCCTCACCCTGGGCGTCACCATGATCGCTATCACCT antigen KKEIVEKSEEWKRKEWSNWLKKLE CCGCTGTGGCTTTCGGCGTCCTGGCTACCCACGGCGACATCAACGACTT (Pv-fam-a) QDWKVFNEKLQNEKKTFLEEKEED CCTGGGCGTCGAGTCCGACGAGGAGAGCGAGAAGAAGAAGGAGATC WNTWIKSVEKKWTHFNPNMDKEFH GTGGAGAAGTCCGAGGAGTGGAAGAGGAAGGAGTGGAGCAACTGGC TNMMRRSINWTESQWREWIQTEGR TCAAGAAGCTGGAGCAAGACTGGAAGGTCTTCAACGAGAAGCTCCAG LYLDIEWKKWFFENQSRLDELIVKK AACGAGAAGAAGACCTTCCTGGAGGAGAAGGAAGAGGACTGGAACAC WIQWKKDKIINWLMSDWKRAEQEH CTGGATCAAGTCCGTGGAGAAGAAGTGGACCCACTTCAACCCAAACAT WEEFEEKSWSSKFFQIFEKRNYEDF GGACAAGGAGTTCCACACCAACATGATGAGGCGCTCCATCAACTGGAC KDRVSDEWEDWFEWVKRKDNIFIT CGAGAGCCAATGGCGCGAGTGGATCCAGACCGAGGGCAGGCTCTACC NVLDQWIKWKEEKNLLYNNWADAF TGGACATCGAGTGGAAGAAGTGGTTCTTCGAGAACCAAAGCAGGCTC VTNWINKKQWVVWVNERRNLAAKA GACGAGCTGATCGTGAAGAAGTGGATCCAGTGGAAGAAGGACAAGAT KAALNKKKhhhhhh  CATCAACTGGCTCATGTCCGACTGGAAGCGCGCCGAGCAAGAGCACTG (SEQ ID NO: 53) GGAGGAGTTCGAGGAGAAGAGCTGGTCCAGCAAGTTCTTCCAGATCTT CGAGAAGCGCAACTACGAGGACTTCAAGGACCGCGTGAGCGACGAGT GGGAGGACTGGTTCGAGTGGGTCAAGCGCAAGGACAACATCTTCATC ACCAACGTGCTGGACCAGTGGATCAAGTGGAAGGAAGAGAAGAACCT CCTGTACAACAACTGGGCCGACGCCTTCGTCACCAACTGGATCAACAA GAAGCAGTGGGTGGTCTGGGTGAACGAGAGGCGCAACCTCGCTGCTA AGGCTAAGGCTGCCCTGAACAAGAAGAAGCACCACCACCACCACCACT GA (SEQ ID NO: 54) 28 MSP7 PVX_ mTKGPSGPPPNKKLNANALHFLRG ATGACCAAGGGCCCATCCGGCCCACCACCAAACAAGAAGCTCAACGCC family 082700 KLELLNKISEEQVVSPDFKKNVELLK AACGCCCTCCACTTCCTGAGGGGCAAGCTGGAGCTCCTGAACAAGATC KKIEELQGKAEKDKSKTDGEDTTPK TCCGAGGAGCAAGTGGTCAGCCCAGACTTCAAGAAGAACGTCGAGCTC EQQEDQNVSQNGLEEQAPSDSNEG CTCAAGAAGAAGATCGAGGAGCTCCAGGGCAAGGCCGAGAAGGACAA EAQEENTQVKNVIFTEKEEAVDEEA GTCCAAGACCGACGGCGAGGACACCACCCCAAAGGAGCAACAAGAGG EKEDTAVISEKANFPNEESQGNDET ACCAAAACGTGAGCCAGAACGGCCTGGAGGAGCAAGCTCCGTCCGAC QTQESIEGEASPGVVVDETDDSPEG AGCAACGAGGGCGAGGCTCAAGAGGAGAACACCCAGGTCAAGAACGT EPLSGLETEGNSSAESAPNEPDVNT GATCTTCACCGAGAAGGAAGAGGCCGTCGACGAGGAAGCCGAGAAG THTAVDTHMPADANIGVDTNMPFDT GAAGACACCGCCGTGATCTCCGAGAAGGCCAACTTCCCAAACGAGGA PPHPSGENPGAPQETHLPSIDENAN GAGCCAGGGCAACGACGAGACGCAAACCCAAGAGTCCATCGAGGGCG RRASRMKHMSSFLNGLLTNQSNNK AGGCTAGCCCGGGCGTGGTGGTGGACGAGACGGACGACTCCCCGGAG KEIFFHPYYGPYFNHGGYYNYDPYY GGCGAGCCACTCAGCGGCCTCGAAACCGAGGGCAACTCCAGCGCTGA NYAPAYNPFVSQARDYEVIKKLLDA GTCCGCTCCAAACGAGCCAGACGTCAACACCACCCACACCGCTGTGGA CFNKGEGADPNVPCIIDIFKKVLDDE CACCCACATGCCAGCTGACGCCAACATCGGCGTCGACACCAACATGCC RFRNELKTFMYDLYEFLKKNDVLSD ATTCGACACCCCACCACACCCAAGCGGCGAGAACCCGGGCGCCCCACA DEKKNELMRFFFDNAFQLVNPMFYY AGAGACGCACCTCCCATCCATCGACGAGAACGCCAACAGGCGCGCCAG hhhhhh (SEQ ID NO: 55) CAGGATGAAGCACATGTCCAGCTTCCTGAACGGCCTCCTGACCAACCA GTCCAACAACAAGAAGGAGATCTTCTTCCACCCATACTACGGCCCATAC TTCAACCACGGCGGATACTACAACTACGACCCATACTACAACTACGCCC CAGCCTACAACCCATTCGTCAGCCAAGCCCGCGACTACGAGGTCATCA AGAAGCTCCTGGACGCCTGCTTCAACAAGGGCGAGGGCGCTGACCCA AACGTCCCATGCATCATCGACATCTTCAAGAAGGTGCTCGACGACGAG AGGTTCCGCAACGAGCTGAAGACCTTCATGTACGACCTCTACGAGTTCC TGAAGAAGAACGACGTCCTCAGCGACGACGAGAAGAAGAACGAGCTG ATGAGGTTCTTCTTCGACAACGCCTTCCAGCTCGTGAACCCAATGTTCT ACTACCACCACCACCACCACCACTGA (SEQ ID NO: 56) 29 Hyp, huge PVX_ mFSGGVGDDEEEEEEEEGEEGESE ATGTTCAGCGGCGGCGTGGGCGACGACGAGGAAGAGGAAGAGGAAG list of 002550 RDDSERDYAGRDDAGRDDAERND AGGAAGGCGAGGAAGGCGAGAGCGAGAGGGACGACTCCGAGAGGG orthologs, AERDDAERNDAERDDAERDHAERD ACTACGCTGGCAGGGACGATGCCGGCAGGGACGACGCCGAGAGGAA paralogs, HADKAESDRESSLEANENRLVKLSE CGACGCCGAGCGCGATGATGCTGAGCGCAACGACGCCGAGCGCGACG synteny GGESEPALLEVEEDIKQTVLGMFSL ACGCCGAGAGGGACCACGCCGAGCGCGACCACGCCGACAAGGCCGAG with Py KGEFDEAESEKLALDLQKNLLSMLS TCCGACAGGGAGTCCAGCCTGGAGGCCAACGAGAACAGGCTGGTGAA LSA3 GNMEDNDDEYEDIDEEYEEVEEDY GCTCAGCGAGGGCGGCGAGTCCGAGCCAGCTCTCCTGGAGGTGGAGG (PyLSA3syn- EEEKLGKPVEVVVEDATEEAVDEVV AAGACATCAAGCAAACCGTCCTGGGCATGTTCAGCCTCAAGGGCGAGT 3) GVVQEPEEEGAEESDKDTGEVSEE TCGACGAGGCCGAGTCCGAGAAGCTCGCCCTGGACCTCCAGAAGAACC EVAKEAADEVMEEEKKEEAGEPSV TCCTGTCCATGCTCAGCGGCAACATGGAGGACAACGACGACGAGTACG VVEEPSVVVKEPSVVVKEPSVVVEE AGGACATCGACGAGGAGTACGAGGAAGTGGAGGAAGACTACGAGGA PSVVVEEPSVVVEEPSVVVEEPAFT AGAGAAGCTCGGCAAGCCAGTGGAGGTGGTCGTGGAGGACGCCACCG VEEPAFTVEEPAITVEEPAITVEEPVF AGGAAGCCGTGGACGAGGTGGTGGGCGTCGTGCAAGAGCCAGAGGA TVEEPVFTVEEPAFTVEEPAFTVEEP AGAGGGCGCTGAGGAGAGCGACAAGGACACCGGCGAGGTGTCCGAG AFTVEEPATTVEELVEEVLKVAEEEV GAAGAGGTGGCCAAGGAAGCCGCCGACGAGGTCATGGAGGAAGAGA ATEAVEKDGEEAEEQVTEESVEEDE AGAAGGAAGAGGCCGGCGAGCCATCCGTGGTGGTGGAGGAGCCAAG EESGEEEGEESEEEETEESAEEEVA CGTGGTCGTGAAGGAGCCATCCGTCGTGGTCAAGGAGCCTTCCGTGGT KESVEEEVAKEAEESEESGEESAEE CGTGGAGGAGCCTAGCGTCGTCGTCGAGGAGCCTTCCGTCGTGGTGG EKEKAEEPVAPVDEVLKEGMQKIEE AGGAGCCCAGCGTGGTCGTCGAGGAGCCAGCCTTCACCGTGGAGGAG SVKEALGVVQEAVDKVAEEEQTEQ CCTGCCTTCACCGTCGAGGAGCCAGCCATCACCGTGGAGGAGCCCGCT AQGPAEAGPVGVVKEPEEEEESEE ATCACGGTGGAGGAGCCAGTGTTCACCGTGGAAGAACCCGTGTTCACC EGEEGEEGEEGEEEEEEESEEEES GTGGAAGAGCCCGCCTTCACCGTTGAGGAGCCCGCCTTCACCGTAGAA EEGESEAGESEAGKSDAAESEVAE GAGCCTGCCTTCACCGTTGAAGAACCAGCTACCACCGTGGAGGAGCTG SEAGEPAEDQAGMDAKMKDELLGM GTGGAGGAAGTGCTCAAGGTGGCTGAGGAAGAGGTGGCTACCGAGG LSEKMKAEGKDLDKLPPEVKKNLLD CTGTGGAGAAGGACGGCGAGGAAGCCGAGGAGCAAGTCACCGAGGA MLAGNMEMDDEEEEGEEEGEDLG GAGCGTCGAGGAAGACGAGGAAGAGTCCGGCGAGGAAGAGGGCGA NEELDLQKNLLEMLSGKGGFNPNM GGAGAGCGAGGAAGAGGAGACCGAGGAGTCCGCTGAGGAAGAGGTG LGNLKELEALQKSVPGLMGKAQGIS GCGAAGGAGAGCGTGGAGGAAGAGGTGGCTAAGGAAGCCGAGGAGT PAEIESLKSMFSGAFDSRGFKGMPQ CCGAGGAGAGCGGGGAGGAGAGCGCTGAGGAAGAGAAGGAGAAGG MKLPAELQSIMMPKKEEKGKPQGA CCGAGGAGCCAGTGGCTCCAGTGGACGAGGTCCTGAAGGAAGGCATG QAKAKVPAKAGQVQKPKAQDIMPS CAGAAGATCGAGGAGAGCGTGAAGGAAGCCCTGGGCGTGGTCCAAG RRIRDLFVLPKEIFGSLKNFKESALKF AGGCCGTGGACAAGGTCGCCGAGGAAGAGCAGACCGAGCAGGCTCA ANHIGLNLETIKKHLTTVKNFLLRVDA GGGCCCAGCTGAGGCTGGCCCAGTCGGCGTGGTCAAGGAGCCTGAGG VVDKEIGNIIEAGKSPQNVVQANEGF AAGAGGAAGAGTCTGAGGAAGAGGGCGAGGAAGGCGAGGAAGGCG LDKMKRLVNKYKIFSIPFFAGMGSFG AGGAAGGCGAGGAAGAGGAAGAGGAAGAGAGTGAGGAAGAGGAGT Fhhhhhh (SEQ ID NO: 57) CTGAGGAAGGCGAGTCCGAGGCTGGGGAGAGCGAGGCTGGCAAGAG CGACGCCGCCGAGTCCGAGGTGGCCGAGAGCGAGGCCGGCGAGCCG GCTGAGGACCAAGCTGGCATGGACGCCAAGATGAAGGACGAGCTCCT GGGCATGCTGAGCGAGAAGATGAAGGCCGAGGGCAAGGACCTGGAC AAGCTCCCACCAGAGGTCAAGAAGAACCTCCTGGACATGCTCGCCGGC AACATGGAGATGGACGATGAGGAAGAGGAAGGCGAGGAAGAGGGC GAAGACCTGGGCAACGAGGAGCTCGACCTCCAGAAGAACCTCCTGGA GATGCTCTCCGGCAAGGGCGGCTTCAACCCAAACATGCTGGGCAACCT CAAGGAGCTGGAGGCCCTCCAAAAGAGCGTGCCAGGCCTGATGGGCA AGGCTCAGGGCATCTCCCCAGCTGAGATCGAGTCCCTCAAGAGCATGT TCTCCGGCGCCTTCGACAGCAGGGGCTTCAAGGGCATGCCACAGATGA AGCTGCCAGCCGAGCTCCAGTCCATCATGATGCCAAAGAAGGAAGAG AAGGGCAAGCCACAAGGCGCTCAAGCTAAGGCTAAGGTGCCAGCTAA GGCTGGCCAAGTCCAGAAGCCAAAGGCCCAGGACATCATGCCAAGCA GGCGCATCCGCGACCTGTTCGTGCTCCCAAAGGAGATCTTCGGCAGCC TGAAGAACTTCAAGGAGTCCGCCCTCAAGTTCGCCAACCACATCGGCCT GAACCTGGAGACCATCAAGAAGCACCTCACCACCGTGAAGAACTTCCT CCTGAGGGTCGACGCCGTGGTCGACAAGGAGATCGGCAACATCATCG AGGCCGGCAAGTCCCCACAAAACGTGGTCCAGGCCAACGAGGGCTTCC TGGACAAGATGAAGCGCCTCGTGAACAAGTACAAGATCTTCAGCATCC CATTCTTCGCCGGCATGGGCTCCTTCGGCTTCCACCATCACCACCATCAC TGA (SEQ ID NO: 58) 30 MSP7-like PVX_ mQLGIQKKKKNLEQDAMHALMKKLE ATGCAGCTCGGCATCCAAAAGAAGAAGAAGAACCTGGAGCAGGACGC protein 082650 SLYKLSATDNGEIFNKEIDALKKQID CATGCACGCCCTCATGAAGAAGCTGGAGAGCCTGTACAAGCTCTCCGC QLHQHGGGNEGESLGHLLESEAAD CACCGACAACGGCGAGATCTTCAACAAGGAGATCGACGCCCTGAAGA DSGKKTIFGVDEDDLDNYDADFIGQ AGCAAATCGACCAGCTCCACCAACACGGCGGCGGAAACGAGGGCGAG SKGKIKGQADTTAVAKPPTGSGAGA AGCCTGGGCCACCTCCTGGAGAGCGAGGCTGCTGACGACTCCGGCAA HGSHSPPKPSVLVVPGKSGKEDSV GAAGACCATCTTCGGCGTGGACGAGGACGACCTGGACAACTACGACG ATLENGYESIHGEDEPREDSTSHDS CCGACTTCATCGGCCAGTCCAAGGGCAAGATCAAGGGCCAGGCTGACA PPALPVGRSEGDSSASGGGTEGQQ CCACCGCTGTGGCTAAGCCACCAACCGGCAGCGGCGCTGGCGCTCACG PDPASARGSQASGGRGGGDQTNT GCAGCCACTCCCCACCAAAGCCATCCGTGCTCGTGGTCCCAGGCAAGA TQPAGGQQSSSAARSLQAPHAGDS GCGGCAAGGAAGACTCCGTCGCCACCCTGGAGAACGGCTACGAGAGC QLPNAGGDPQSPAAAGHQQPPTSP ATCCACGGCGAGGACGAGCCAAGGGAGGACAGCACCTCCCACGACTC PANNEGTTVTQESALAATPPKGTAD CCCACCAGCTCTCCCAGTGGGCCGCAGCGAGGGCGACTCCAGCGCTTC SNDAKIKYLDKLYDEVLTTSDNTSGI CGGCGGCGGCACCGAGGGCCAACAGCCAGACCCAGCTAGCGCCAGGG HVPDYHSKYNTIRQKYEYSMNPVEY GCAGCCAGGCTTCCGGCGGCAGGGGCGGCGGCGACCAAACCAACACC EIVKNLFNVGFKNDGAASSDATPLV ACCCAACCAGCTGGCGGCCAACAGTCCAGCTCCGCTGCTAGGAGCCTG DVFKKALADEKFQAEFDNFVHGLYG CAGGCCCCACACGCTGGCGACAGCCAGCTCCCAAACGCCGGCGGCGA FAKRHSYLSEARMKDNKLYSDLLKN CCCACAATCCCCAGCTGCCGCCGGCCACCAACAGCCACCAACCTCCCCA AISLMSTLQVShhhhhh CCAGCCAACAACGAGGGCACCACCGTGACCCAAGAGTCCGCTCTGGCT (SEQ ID NO: 59) GCTACCCCACCAAAGGGCACCGCCGACTCCAACGACGCCAAGATCAAG TACCTGGACAAGCTCTACGACGAGGTGCTGACCACCAGCGACAACACC TCCGGCATCCACGTCCCAGACTACCACAGCAAGTACAACACCATCCGCC AAAAGTACGAGTACTCCATGAACCCAGTGGAGTACGAGATCGTCAAGA ACCTCTTCAACGTGGGCTTCAAGAACGACGGCGCTGCCAGCTCCGACG CTACCCCACTGGTGGACGTCTTCAAGAAGGCCCTCGCCGACGAGAAGT TCCAGGCCGAGTTCGACAACTTCGTCCACGGCCTGTACGGCTTCGCCAA GAGGCACAGCTACCTCTCCGAGGCCCGCATGAAGGACAACAAGCTGTA CAGCGACCTCCTGAAGAACGCCATCAGCCTGATGTCCACCCTCCAAGTG TCCCACCACCACCACCACCACTGA (SEQ ID NO: 60) 31 reticulo- PVX_ mAAYNTVLQIYKYSDDIVRKQEKCE ATGGCCGCCTACAACACCGTGCTCCAAATCTACAAGTACTCCGACGACA cyte  094255 QLVKDGKDICLKFKSINEIKVMIQNSK TCGTGAGGAAGCAAGAGAAGTGCGAGCAGCTGGTCAAGGACGGCAA binding GKESTLSAKVSHSFNKLSELNKIKCN GGACATCTGCCTCAAGTTCAAGTCCATCAACGAGATCAAGGTCATGATC protein  DESYDAILETPSREELNKLRSTFKQE CAGAACAGCAAGGGCAAGGAGTCCACCCTCAGCGCCAAGGTGTCCCA 2b KDTIANQAKLSGYKTDFETHIGKLND CAGCTTCAACAAGCTCAGCGAGCTGAACAAGATCAAGTGCAACGACGA (RBP2b) LAKIVDNLKASETLPKNIEEKKTSINLI GAGCTACGACGCCATCCTCGAAACCCCATCCAGGGAGGAGCTCAACAA STKLETIEKEIESINSSFDQLLEKGKK GCTGCGCAGCACCTTCAAGCAAGAGAAGGACACCATCGCCAACCAGGC CEMTKYKLVRDSLSTKINDHSAIIKD CAAGCTCTCCGGCTACAAGACCGACTTCGAGACGCACATCGGCAAGCT NQKKATEYLTYIQNNHISIFKDIDMLN CAACGACCTGGCCAAGATCGTGGACAACCTCAAGGCCAGCGAGACGCT ENLGEKSVSRYAIAKIEEANDLSAQL GCCAAAGAACATCGAGGAGAAGAAGACCTCCATCAACCTCATCAGCAC TAAVSEYEAIANSIRKEFTNISDHTE CAAGCTCGAAACCATCGAGAAGGAGATCGAGTCCATCAACTCCAGCTT MDTLENEAKMLKEHYDNLINKKNIIT CGACCAACTCCTGGAGAAGGGCAAGAAGTGCGAGATGACCAAGTACA ELHNKINLIKLLEIRATSDKYVDIAELL AGCTCGTCAGGGACTCCCTGAGCACCAAGATCAACGACCACTCCGCCA GEVVKDQKKKLQEAKNKLDTLKDHI TCATCAAGGACAACCAAAAGAAGGCCACCGAGTACCTCACCTACATCC AVKEKELINHDSSFTLVSIKAFDEIYD AGAACAACCACATCAGCATCTTCAAGGACATCGACATGCTCAACGAGA DIKYNVGQLHTLEVTNFDELKKGKT ACCTGGGCGAGAAGTCCGTGAGCAGGTACGCCATCGCCAAGATCGAG YEENVTHLLNRRETLONDLHNYEEK GAAGCCAACGACCTCTCCGCTCAACTCACCGCTGCCGTCAGCGAGTAC DKLKNTNIEMSNEENNQIRQTSEVIK GAGGCTATCGCCAACTCCATCCGCAAGGAGTTCACCAACATCTCCGACC KLESEFQNLLKIIQQSNTLCSNDNIK ACACCGAGATGGACACCCTGGAGAACGAGGCCAAGATGCTGAAGGAG QFISDILKKVETIRERFVKNFPEREKY CACTACGACAACCTCATCAACAAGAAGAACATCATCACCGAGCTCCACA HQIEINYNEIKGIVKEVDTNPEISIFTE ACAAGATCAACCTGATCAAGCTCCTGGAGATCCGCGCCACCAGCGACA KINTYIRQKIRSAHHLEDAQKIKDIIED AGTATGTGGACATCGCCGAGCTCCTGGGCGAGGTGGTCAAGGACCAA VTSNYRKIKSKLSQVNNALDRIKIKK AAGAAGAAGCTGCAAGAGGCCAAGAACAAGCTCGACACCCTGAAGGA SEMDTLFESLSKENANNYNSAKYFL CCACATCGCCGTGAAGGAGAAGGAGCTGATCAACCACGACTCCAGCTT VDSDKIIKHLEDQVSKMSSLISYAER CACCCTCGTCAGCATCAAGGCCTTCGACGAGATCTACGACGACATCAA EIKELEEKVYShhhhhh GTACAACGTGGGCCAACTCCACACCCTGGAGGTCACCAACTTCGACGA (SEQ ID NO: 61) GCTCAAGAAGGGCAAGACCTACGAGGAGAACGTGACCCACCTCCTGA ACAGGCGCGAGACGCTCCAGAACGACCTGCACAACTACGAGGAGAAG GACAAGCTCAAGAACACCAACATCGAGATGTCCAACGAGGAGAACAA CCAAATCAGGCAGACCAGCGAGGTCATCAAGAAGCTGGAGTCCGAGT TCCAAAACCTCCTGAAGATCATCCAACAGTCCAACACCCTCTGCAGCAA CGATAACATCAAGCAGTTCATCAGCGACATCCTGAAGAAGGTGGAGAC GATCAGGGAGCGCTTCGTCAAGAACTTCCCAGAGCGCGAGAAGTACCA CCAAATCGAGATCAACTACAACGAGATCAAGGGCATCGTGAAGGAAG TGGACACCAACCCAGAGATCTCCATCTTCACCGAGAAGATCAACACCTA CATCAGGCAAAAGATCAGGAGCGCTCACCACCTGGAGGACGCTCAGA AGATCAAGGACATCATCGAGGACGTGACCTCCAACTACAGGAAGATCA AGTCCAAGCTGAGCCAAGTCAACAACGCCCTCGACCGCATCAAGATCA AGAAGAGCGAGATGGACACCCTCTTCGAGTCCCTGAGCAAGGAGAAC GCCAACAACTACAACAGCGCCAAGTACTTCCTGGTGGACTCCGACAAG ATCATCAAGCACCTGGAGGACCAAGTGTCCAAGATGTCCAGCCTGATC AGCTACGCCGAGCGCGAGATCAAGGAGCTGGAGGAGAAGGTCTACTC CCACCACCACCACCACCACTGA (SEQ ID NO: 62) 32 MSP3.3 PVX_ mNVATRGEIVNLKNPNLRNGWSMK ATGAACGTCGCCACCAGGGGCGAGATCGTGAACCTGAAGAACCCAAA [merozo- 097680 NLSAQNEENIVHSDGSDDVTDKEED CCTCCGCAACGGCTGGAGCATGAAGAACCTGTCCGCCCAAAACGAGGA ite GEVLEGQKGSPKKSAEQKVHAQEE GAACATCGTCCACTCCGACGGCAGCGACGACGTGACCGACAAGGAAG surface VNKESLKSKAQNAKAEAEKAAKAAE AGGACGGCGAGGTGCTGGAGGGCCAGAAGGGCAGCCCAAAGAAGTC protein 3 SAKENTLDALEKVNVPTELNNEKNF CGCCGAGCAAAAGGTCCACGCCCAAGAGGAAGTGAACAAGGAGTCCC beta AESAATEAKKQEKISTEAAEEVKEIE TCAAGAGCAAGGCCCAAAACGCCAAGGCTGAGGCTGAGAAGGCTGCT (MSP3b)] VDGQLEKLKNEEEKTAKKARKQEIK AAGGCTGCCGAGTCCGCCAAGGAGAACACCCTCGACGCCCTGGAGAA TEIAEQAAKAQAAKTEAETAQKDAT GGTGAACGTCCCAACCGAGCTCAACAACGAGAAGAACTTCGCTGAGA TAKDEAIKETGKPKSQNTTKAVTMA GCGCTGCTACCGAGGCCAAGAAGCAGGAGAAGATCTCCACCGAGGCC TEEEKKTKDEAQTASEKAGKTAEEA GCCGAGGAAGTGAAGGAGATCGAGGTGGACGGCCAACTGGAGAAGC QKEVGKETADDDKEVSQLEEEIKEL TGAAGAACGAGGAAGAGAAGACCGCCAAGAAGGCCAGGAAGCAGGA ERILKIVKDLASEASSASDNAKKAKL GATCAAGACCGAGATCGCTGAGCAAGCTGCTAAGGCTCAGGCTGCTAA KTQIAAEVVKAEKARIEAEEAEKEAG GACCGAGGCCGAGACGGCCCAAAAGGACGCCACCACCGCCAAGGACG EAKTKTEATEKEVLKISDESKAAKVK AGGCCATCAAGGAGACGGGCAAGCCAAAGAGCCAGAACACCACCAAG KAVEKAKEAEKQAKSEAEKAKGMA GCCGTCACCATGGCCACCGAGGAAGAGAAGAAGACCAAGGACGAGGC DDAGGKGTTNLEDVLTKLSEVLTSV TCAAACCGCTTCCGAGAAGGCTGGCAAGACCGCTGAGGAAGCCCAGA KSLASNAEVASKNAKKEMTKAQIAA AGGAAGTGGGCAAGGAGACGGCCGACGACGACAAGGAAGTGTCCCA EVAKAEKAKIEAENAKLLADTASKAA ACTCGAAGAGGAGATCAAGGAGCTGGAGAGGATCCTCAAGATCGTGA ENIAKSSKAAKIANNVSTIAAEKSKVA AGGACCTGGCTAGCGAGGCCTCCAGCGCTTCCGACAACGCCAAGAAG TEAADEAAKALDETENPESKIAEVTE GCCAAGCTCAAGACCCAAATCGCTGCTGAGGTGGTCAAGGCTGAGAA KATKAVNAAEEAKKEKAKAEVAVEV GGCTAGGATCGAGGCTGAGGAAGCCGAGAAGGAAGCCGGCGAGGCT AHAEVAKEKAQEAKEAAKQVADKS AAGACCAAGACCGAGGCTACCGAGAAGGAAGTGCTGAAGATCTCCGA KLEKAIQAADKASEKANEASKLAEEA CGAGAGCAAGGCCGCCAAGGTCAAGAAGGCCGTGGAGAAGGCCAAG LSNLESLEKETGEIVEKVNAIEQKVQ GAAGCCGAGAAGCAAGCCAAGTCCGAGGCTGAGAAGGCTAAGGGCAT TAKNAAIEAHKEKTKAEIAVEVAKAE GGCTGACGACGCCGGCGGCAAGGGCACCACCAACCTGGAGGACGTGC EAKKEADNAKVAAEKAKETAEKIAKT TCACCAAGCTGAGCGAGGTCCTGACCTCCGTGAAGTCCCTGGCTTCCAA SKSTEKITEEVRKATEFAKTAGDETT CGCTGAGGTGGCTTCCAAGAACGCCAAGAAGGAGATGACCAAGGCTC LAATKAESEIPSEEKNQKELLDSIKQ AGATCGCTGCTGAGGTGGCTAAGGCTGAGAAGGCCAAGATCGAGGCC KAESAFQASQEAIKAKTEAENFLEIA GAGAACGCCAAGCTGCTGGCTGACACCGCTAGCAAGGCTGCCGAGAA KEVPKAEAAKEEAQKAATAAEEAKT CATCGCCAAGTCCAGCAAGGCCGCCAAGATCGCCAACAACGTCAGCAC EVLKIAEEVNKSDASESEKKKIETAA CATCGCCGCCGAGAAGTCCAAGGTGGCTACCGAGGCTGCTGACGAGG NETAGEAEKAATFAKEAADAAKDTN CTGCCAAGGCCCTCGACGAGACGGAGAACCCAGAGTCCAAGATCGCC KAVTLAVAKEKVEKALKAAKEAKKA GAGGTGACCGAGAAGGCTACCAAGGCTGTGAACGCTGCTGAGGAAGC NEKASYALIRTKKQYALEPLEITSEA CAAGAAGGAGAAGGCCAAGGCTGAGGTGGCTGTGGAGGTGGCTCAC GYNITEKEEQVKEEIEEQDDKASEE GCTGAGGTGGCTAAGGAGAAGGCCCAAGAGGCCAAGGAAGCCGCCA EEEDTQQIDQTQIDEVDISVDNEEEE AGCAGGTGGCCGACAAGAGCAAGCTGGAGAAGGCCATCCAAGCCGCC EGAAEEQIEGEKDTPTKEAKEEQTS GACAAGGCCAGCGAGAAGGCCAACGAGGCCTCCAAGCTCGCCGAGGA GEKILDDKEAHKTLAEKFKDSNTAKT AGCCCTCAGCAACCTGGAGTCCCTGGAGAAGGAGACGGGCGAGATCG GGVEFLETLISDVGEDTLKNLQQDL TCGAGAAGGTGAACGCCATCGAGCAAAAGGTGCAGACCGCCAAGAAC HQYFKGKhhhhhh GCCGCCATCGAGGCCCACAAGGAGAAGACCAAGGCTGAGATCGCTGT (SEQ ID NO: 63) GGAGGTCGCCAAGGCCGAGGAAGCCAAGAAGGAAGCCGACAACGCC AAGGTGGCTGCTGAGAAGGCTAAGGAGACGGCCGAGAAGATCGCCAA GACCTCCAAGAGCACCGAGAAGATCACCGAGGAAGTGAGGAAGGCTA CCGAGTTCGCTAAGACCGCTGGCGACGAGACGACCCTGGCTGCTACCA AGGCTGAGAGCGAGATCCCATCCGAGGAGAAGAACCAAAAGGAGCTC CTGGACAGCATCAAGCAGAAGGCCGAGAGCGCCTTCCAAGCCTCCCAA GAGGCCATCAAGGCCAAGACCGAGGCCGAGAACTTCCTGGAGATCGC CAAGGAAGTGCCAAAGGCCGAGGCCGCCAAGGAAGAGGCCCAAAAG GCTGCTACGGCCGCTGAGGAAGCCAAGACCGAGGTCCTCAAGATCGCC GAGGAAGTGAACAAGTCCGACGCCTCCGAGAGCGAGAAGAAGAAGAT CGAGACGGCTGCTAACGAGACGGCTGGCGAGGCCGAGAAGGCCGCTA CCTTCGCTAAGGAAGCCGCTGACGCTGCTAAGGACACCAACAAGGCCG TCACCCTGGCCGTGGCCAAGGAGAAGGTCGAGAAGGCCCTCAAGGCC GCCAAGGAAGCCAAGAAGGCCAACGAGAAGGCCAGCTACGCCCTGAT CCGCACCAAGAAGCAGTACGCCCTGGAGCCACTGGAGATCACCTCCGA GGCCGGCTACAACATCACCGAGAAGGAAGAGCAAGTGAAGGAAGAG ATCGAGGAGCAGGACGACAAGGCCAGCGAGGAAGAGGAAGAGGACA CCCAACAGATCGACCAAACCCAGATCGACGAGGTCGACATCTCCGTGG ACAACGAGGAAGAGGAAGAGGGCGCTGCTGAGGAGCAAATCGAGGG CGAGAAGGACACCCCAACCAAGGAAGCCAAGGAAGAGCAGACCTCCG GCGAGAAGATCCTGGACGACAAGGAAGCCCACAAGACCCTCGCCGAG AAGTTCAAGGACAGCAACACCGCTAAGACCGGCGGCGTCGAGTTCCTC GAAACCCTCATCTCCGACGTGGGCGAGGACACCCTGAAGAACCTCCAA CAGGACCTCCACCAGTACTTCAAGGGCAAGCACCACCACCACCACCACT GA (SEQ ID NO: 64) 33 hypothe- PVX_ mNNYGKLKHGKWDDGSYSERTRW ATGAACAACTACGGCAAGCTCAAGCACGGCAAGTGGGACGACGGCTC tical 001000 RMLSGDDHDDLLPSCDSPGGRNDE CTACAGCGAGAGGACCAGGTGGAGGATGCTGTCCGGCGACGACCACG protein, HQVNKEVSRTAPSEKVKVVDKETG ACGACCTCCTCCCATCCTGCGACAGCCCAGGCGGCAGGAACGACGAGC conserved ESMLVDVGESGGKSSPGVAEESGP ACCAAGTCAACAAGGAAGTGTCCAGGACCGCCCCAAGCGAGAAGGTG SLRGRDVRDVRVDQETRETLOGGA AAGGTGGTCGACAAGGAGACCGGCGAGTCCATGCTGGTGGACGTGGG TNRRDLTQHGEEETGDDSKRAKQD CGAGAGCGGCGGCAAGTCCTCCCCAGGCGTGGCTGAGGAGTCCGGCC DEAGVRSMLNDTVTAIKDNGSNLLR CAAGCCTGCGCGGCAGGGACGTGCGCGACGTCAGGGTGGACCAAGAG SVIGQINFVQGSAELLKVANEEERQ ACCCGCGAGACCCTGCAGGGCGGCGCCACCAACAGGCGCGACCTCAC PSGGSVLSKEGEEATPGDFLGGNN CCAACACGGCGAGGAAGAGACCGGCGACGACAGCAAGCGCGCTAAGC PNGGEKGELPNGTKNDVMIKGYAN AGGACGACGAGGCTGGCGTCAGGTCCATGCTCAACGACACCGTGACC VLLNEGKHVLVGNVRNFLSRVFNLIV GCCATCAAGGACAACGGCTCCAACCTCCTGCGCAGCGTCATCGGCCAA REKIMTRMCHRGGEASIERSGEPVG ATCAACTTCGTGCAAGGCAGCGCTGAGCTCCTGAAGGTCGCCAACGAG ERSGEPTGERSGDPTGERSGDPTG GAAGAGCGCCAGCCATCCGGCGGCAGCGTGCTGTCCAAGGAAGGCGA ERSGEPTGERSGEPTGERSGEPTA GGAAGCCACCCCAGGCGACTTCCTCGGCGGCAACAACCCGAACGGCG ERSGEPTAERSDEPTAERSDEPTAD GCGAGAAGGGCGAGCTGCCAAACGGCACCAAGAACGACGTCATGATC PKGDPTNCRLPKRSATKFYQSEDLY AAGGGCTACGCCAACGTGCTCCTGAACGAGGGCAAGCACGTCCTCGTG NYYSSLEEMLKGRGIRWKTDRVSR GGCAACGTCCGCAACTTCCTGTCCAGGGTGTTCAACCTCATCGTCAGGG YFTFSPSKKIKDNFEEVMNNKVFIES AGAAGATCATGACCAGGATGTGCCACAGGGGCGGCGAGGCTAGCATC VRSILFDSHKKNKKAVFSSFAVVVET GAGAGGTCCGGCGAGCCAGTGGGGGAGCGCTCCGGCGAGCCAACCG LFSLIKEEKVIADMYSYVKLFFQDLDI GCGAGAGGAGCGGCGACCCAACCGGCGAGAGGTCTGGCGACCCTACG LNLKVLHFLSSSSTENTQFVGPPDL GGGGAGAGGAGCGGGGAGCCTACCGGCGAGCGCAGCGGGGAGCCTA SLTNFEYILAKIYSRSVLANILSPKMN CGGGCGAGAGGTCCGGGGAGCCTACCGCTGAGAGAAGCGGCGAGCC HSDSKKLSKLLTRRENNLKFSFLEG AACCGCTGAGAGGAGCGATGAGCCTACCGCTGAGAGGTCCGACGAGC VKMVHSAIPSEGVSAVVLGNAGGQ CAACCGCTGACCCAAAGGGCGACCCAACCAACTGCCGCCTCCCAAAGA VNVPIPGADDTLCKFIPIRKKLLYERL GGTCCGCCACCAAGTTCTACCAAAGCGAGGACCTGTACAACTACTACTC SVTRKVAEEVILDYLFRLLLRKVHEY CAGCCTGGAGGAGATGCTCAAGGGCAGGGGCATCAGGTGGAAGACC VLEhhhhhh (SEQ ID NO: 65) GACCGCGTCAGCAGGTACTTCACCTTCTCCCCAAGCAAGAAGATCAAG GACAACTTCGAGGAAGTGATGAACAACAAGGTCTTCATCGAGAGCGTG CGCTCCATCCTCTTCGACTCCCACAAGAAGAACAAGAAGGCCGTGTTCT CCAGCTTCGCCGTGGTCGTGGAGACCCTGTTCAGCCTCATCAAGGAAG AGAAGGTCATCGCCGACATGTACTCCTACGTGAAGCTGTTCTTCCAAGA CCTCGACATCCTGAACCTCAAGGTCCTGCACTTCCTCTCCAGCTCCAGCA CCGAGAACACCCAGTTCGTGGGCCCACCAGACCTGAGCCTCACCAACT TCGAGTACATCCTCGCCAAGATCTACTCCCGCAGCGTCCTGGCCAACAT CCTCAGCCCAAAGATGAACCACTCCGACAGCAAGAAGCTGTCCAAGCT CCTGACCAGGCGCGAGAACAACCTGAAGTTCTCCTTCCTGGAGGGCGT CAAGATGGTGCACAGCGCTATCCCATCCGAGGGCGTGAGCGCTGTGGT GCTGGGCAACGCTGGCGGCCAGGTCAACGTGCCAATCCCAGGCGCCG ACGACACCCTCTGCAAGTTCATCCCAATCAGGAAGAAGCTCCTGTACGA GCGCCTGTCCGTCACCAGGAAGGTGGCCGAGGAAGTGATCCTGGACT ACCTCTTCCGCCTCCTGCTCAGGAAGGTGCACGAGTATGTGCTGGAGC ACCATCACCACCATCACTGA (SEQ ID NO: 66) 34 merozoite PVX_ mGNVSPPNFNDNRVNGNNGNKGN ATGGGCAACGTGTCCCCACCAAACTTCAACGACAACAGGGTCAACGGC surface 097625 GNDNDVPSFIGGNNNNVNGNNDDN AACAACGGCAACAAGGGCAACGGCAACGACAACGACGTGCCAAGCTT protein 8 IFNKNGKDVTRNDGDAKDGENRNN CATCGGCGGCAACAACAACAACGTCAACGGCAACAACGACGACAACAT (GPI- KKNENGSGSNENNSIANADNGSGK CTTCAACAAGAACGGCAAGGACGTGACCCGCAACGACGGCGACGCTA anchored, SDANANQIDEDGNKMDEASLKKILKI AGGACGGCGAGAACCGCAACAACAAGAAGAACGAGAACGGCTCCGGC C24) VDEMENIQGLLDGDYSILDKYSVKLV AGCAACGAGAACAACTCCATCGCCAACGCTGACAACGGCTCCGGCAAG DEDDGETNKRKIIGEYDLKMLKNILL AGCGACGCCAACGCCAACCAAATCGACGAGGACGGCAACAAGATGGA FREKISRVCENKYNKNLPVLLKKCS CGAGGCCAGCCTCAAGAAGATCCTGAAGATCGTGGACGAGATGGAGA NVDDPKLSKSREKIKKGLAKNNMSIE ACATCCAGGGCCTCCTGGACGGCGACTACTCCATCCTCGACAAGTACA DFVVGLLEDLFEKINEHFIKDDSFDL GCGTGAAGCTGGTCGACGAGGACGACGGCGAGACGAACAAGAGGAA SDYLADFELINYIIMHETSELIDELLNII GATCATCGGCGAGTACGACCTCAAGATGCTGAAGAACATCCTCCTGTTC ESMNFRLESGSLEKMVKSAESGMN AGGGAGAAGATCTCCCGCGTCTGCGAGAACAAGTACAACAAGAACCTC LNCKMKEDIIHLLKKSSAKFFKIEIDR CCAGTGCTCCTGAAGAAGTGCAGCAACGTCGACGACCCAAAGCTCTCC KTKMIYPVQATHKGANMKQLALSFL AAGAGCCGCGAGAAGATCAAGAAGGGCCTGGCTAAGAACAACATGTC QKNNVCEHKKCPLNSNCYVINGEEV CATCGAGGACTTCGTGGTCGGCCTCCTGGAGGACCTGTTCGAGAAGAT CRCLPGFSDVKIDNVMNCVRDDTLD CAACGAGCACTTCATCAAGGACGACTCCTTCGACCTCAGCGACTACCTG CSNNNGGCDVNATCTLIDKKIVCEC GCCGACTTCGAGCTCATCAACTACATCATCATGCACGAGACGTCCGAGC KDNFEGDGIYChhhhhh TGATCGACGAGCTCCTGAACATCATCGAGAGCATGAACTTCAGGCTGG (SEQ ID NO: 67) AGTCCGGCAGCCTGGAGAAGATGGTGAAGTCCGCCGAGAGCGGCATG AACCTCAACTGCAAGATGAAGGAAGACATCATCCACCTCCTGAAGAAG TCCAGCGCCAAGTTCTTCAAGATCGAGATCGACCGCAAGACCAAGATG ATCTACCCAGTGCAAGCCACCCACAAGGGCGCCAACATGAAGCAACTC GCCCTGTCCTTCCTCCAGAAGAACAACGTCTGCGAGCACAAGAAGTGC CCACTGAACAGCAACTGCTACGTGATCAACGGCGAGGAAGTGTGCAG GTGCCTCCCAGGCTTCTCCGACGTCAAGATCGACAACGTGATGAACTG CGTCCGCGACGACACCCTCGACTGCAGCAACAACAACGGCGGCTGCGA CGTGAACGCTACCTGCACCCTGATCGACAAGAAGATCGTCTGCGAGTG CAAGGACAACTTCGAGGGCGACGGCATCTACTGCCACCACCACCACCA CCACTGA (SEQ ID NO: 68) 35 adenylate PVX_ METLLDSETLKNYEKETNEYIRKKKV ATGGAGACGCTCCTGGACTCCGAGACGCTCAAGAACTACGAGAAGGA kinase- 087110 EKLFDVILKNVLVNKPENVYLYIYKNI GACGAACGAGTACATCAGGAAGAAGAAGGTGGAGAAGCTCTTCGACG like YSFLLNKIFVIGPPLLKITPTLCSAIAS TCATCCTCAAGAACGTGCTGGTCAACAAGCCAGAGAACGTGTACCTGT protein 2, CFSYYHLSASHMIESYTTGEVDDAA ACATCTACAAGAACATCTACAGCTTCCTCCTGAACAAGATCTTCGTCATC putative ESSTSKKLVSDDLICSIVKSNINQLNA GGCCCACCACTCCTGAAGATCACCCCAACCCTCTGCTCCGCCATCGCCT (AKLP2) KQKRGYVVEGFPGTNLQADSCLRH CCTGCTTCAGCTACTACCACCTGTCCGCCAGCCACATGATCGAGAGCTA LPSYVFVLYADEEYIYDKYEQENNV CACCACCGGCGAGGTGGACGACGCTGCTGAGTCCAGCACCTCCAAGAA KIRSDMNSQTFDENTQLFEVAEFNT GCTCGTGAGCGACGACCTGATCTGCTCCATCGTCAAGAGCAACATCAA NPLKDEVKVYLRNhhhhhh CCAACTCAACGCCAAGCAGAAGAGGGGCTACGTGGTCGAGGGCTTCC (SEQ ID NO: 69) CAGGCACCAACCTCCAGGCTGACTCCTGCCTCAGGCACCTGCCAAGCTA CGTGTTCGTCCTGTACGCCGACGAGGAGTACATCTACGACAAGTACGA GCAGGAGAACAACGTGAAGATCAGGTCCGACATGAACAGCCAAACCT TCGACGAGAACACCCAGCTGTTCGAGGTCGCCGAGTTCAACACCAACC CACTCAAGGACGAGGTGAAGGTCTACCTGCGCAACCACCACCACCACC ACCACTGA (SEQ ID NO: 70) 36 MSP7-like PVX_ mKPGVEKKKKLEEDVIGILRRKLESL ATGAAGCCAGGCGTGGAGAAGAAGAAGAAGCTCGAAGAGGACGTCA protein 082670 QKRSLTNSDGKLKKEIELVKKQIQEL TCGGCATCCTGCGCAGGAAGCTGGAGTCCCTGCAAAAGAGGTCCCTCA QKYEKGEAGKKVDATLGEEPGVES CCAACAGCGACGGCAAGCTCAAGAAGGAGATCGAGCTGGTCAAGAAG AEEQPLSVEEAGDTQDEDRLDELE CAAATCCAGGAGCTGCAGAAGTACGAGAAGGGCGAGGCTGGCAAGA GVEDFEEENLEQSEQVEEAEVVEEA AGGTGGACGCTACCCTGGGCGAGGAGCCGGGCGTGGAGTCCGCTGAG EEEAGDAEEEQPAEAEEDGSLLEEA GAGCAACCACTGAGCGTGGAGGAAGCCGGCGACACCCAGGACGAGG PNSVERKAEGAIAEFEEADVEEGAE ACAGGCTCGACGAGCTGGAGGGCGTCGAGGACTTCGAGGAAGAGAAC ADEGVETDEGADADEASLGSFDLE CTGGAGCAAAGCGAGCAGGTGGAGGAAGCCGAGGTGGTGGAGGAAG GELIEEDLQESFDLEGEQEEEDLQE CCGAGGAAGAGGCCGGCGACGCTGAGGAAGAGCAACCGGCTGAGGC GFKSEEEANQGGQLPREIPPHGEEA TGAGGAAGACGGCTCCCTCCTCGAAGAGGCCCCAAACAGCGTGGAGA VEPPLRGNKPSMEYVGNLHSDVGP GGAAGGCTGAGGGCGCTATCGCTGAGTTCGAGGAAGCCGACGTCGAG TEGSANQISPPSVDEKGKEDGDKYK GAAGGCGCCGAGGCCGACGAGGGCGTGGAGACGGACGAGGGCGCTG SASQDGGNSVGINNFGGCFQGGNS ACGCTGACGAGGCTTCCCTGGGCAGCTTCGACCTGGAGGGCGAGCTG NGICPLDIFKKVLEDENFLQEFDSFIH ATCGAGGAAGACCTCCAGGAGTCTTTCGACCTGGAGGGGGAGCAAGA NLYGSSKNNTPWGGDKMGNENLY GGAAGAGGACCTCCAAGAGGGCTTCAAGAGCGAGGAAGAGGCCAAC MDLFTNALSFLNTIEVIhhhhhh CAAGGCGGCCAGCTGCCAAGGGAGATCCCACCACACGGCGAGGAAGC (SEQ ID NO: 71) CGTGGAGCCACCACTCCGCGGCAACAAGCCATCCATGGAGTATGTGGG CAACCTGCACAGCGACGTGGGCCCAACCGAGGGCAGCGCCAACCAAA TCTCCCCACCAAGCGTCGACGAGAAGGGCAAGGAAGACGGCGACAAG TACAAGTCCGCCAGCCAAGACGGCGGAAACTCCGTGGGCATCAACAAC TTCGGCGGATGCTTCCAGGGCGGCAACAGCAACGGCATCTGCCCACTC GACATCTTCAAGAAGGTCCTGGAGGACGAGAACTTCCTGCAGGAGTTC GACTCCTTCATCCACAACCTGTACGGCTCCAGCAAGAACAACACCCCAT GGGGCGGCGACAAGATGGGCAACGAGAACCTCTACATGGACCTGTTC ACCAACGCCCTCAGCTTCCTGAACACCATCGAGGTCATCCACCACCACC ACCACCACTGA (SEQ ID NO: 72) 37 high PVX_ mELSHSLSVKNAPDASALNIEVEKD ATGGAGCTCTCCCACAGCCTGTCCGTGAAGAACGCTCCAGACGCTAGC molecular 099930 KKKICKNAFQYINVAELLSPREEETY GCTCTCAACATCGAGGTCGAGAAGGACAAGAAGAAGATCTGCAAGAA weight VQKCEEVLDTIKNDSPDESAEAEINE CGCCTTCCAATACATCAACGTCGCCGAGCTCCTGTCCCCAAGGGAGGA rhoptry FILSLLHARSKYTIINDSDEEVLSKLL AGAGACTTACGTGCAGAAGTGCGAGGAAGTGCTGGACACCATCAAGA protein-2, RSINGSISEEAALKRAKQLITFNRFIK ACGACAGCCCAGACGAGTCCGCTGAGGCTGAGATCAACGAGTTCATCC putative DKAKVKNVQEMLVISSKADDFMNEP TCAGCCTCCTGCACGCCCGCTCCAAGTACACCATCATCAACGACAGCGA KQKMLQKIIDSFELYNDYLVILGSNIN CGAGGAAGTGCTGAGCAAGCTCCTGAGGTCCATCAACGGCAGCATCTC IAKRYSSETFLSIKNEKFCSDHIHLCQ CGAGGAAGCCGCTCTCAAGAGGGCTAAGCAACTGATCACCTTCAACAG KFYEQSIIYYRLKVIFDNLVTYVDQNS GTTCATCAAGGACAAGGCCAAGGTGAAGAACGTCCAGGAGATGCTCG KHFKKEKLLELLNMDYRVNRESKVH TCATCTCCAGCAAGGCCGACGACTTCATGAACGAGCCAAAGCAAAAGA ENYVLEDETVIPTMRITDIYDQDRLIV TGCTCCAGAAGATCATCGACAGCTTCGAGCTGTACAACGACTACCTCGT EVVQDGNSKLMHGRDIEKREISERYI GATCCTGGGCTCCAACATCAACATCGCCAAGCGCTACTCCAGCGAGAC VTVKNLRKDLNDEGLYADLMKTVKN GTTCCTCAGCATCAAGAACGAGAAGTTCTGCTCCGACCACATCCACCTG YVLSITQIDNDISNLVRELDHEDVEKh TGCCAAAAGTTCTACGAGCAGAGCATCATCTACTACAGGCTCAAGGTC hhhhh (SEQ ID NO: 73) ATCTTCGACAACCTGGTGACCTACGTCGACCAAAACTCCAAGCACTTCA AGAAGGAGAAGCTCCTGGAGCTCCTGAACATGGACTACAGGGTGAAC CGCGAGTCCAAGGTGCACGAGAACTACGTCCTGGAGGACGAGACTGT GATCCCAACCATGCGCATCACCGACATCTACGACCAAGACAGGCTCATC GTGGAGGTGGTCCAGGACGGCAACAGCAAGCTGATGCACGGCAGGG ACATCGAGAAGCGCGAGATCTCCGAGAGGTACATCGTGACCGTCAAG AACCTCCGCAAGGACCTGAACGACGAGGGCCTCTACGCCGACCTGATG AAGACCGTGAAGAACTACGTCCTCAGCATCACCCAGATCGACAACGAC ATCTCCAACCTCGTGAGGGAGCTGGACCACGAGGACGTCGAGAAGCA CCACCACCACCACCACTGA (SEQ ID NO: 74) 38 IMP- PVX_ MEKLDIPPHEMYEDMQQAFREQDK ATGGAGAAGCTCGACATCCCACCACACGAGATGTACGAGGACATGCAA specific 084340 YDFLAISDGSVINSYMKKNVVDWNN CAGGCCTTCAGGGAGCAAGACAAGTACGACTTCCTGGCCATCTCCGAC 5'- RYSYNQLKNKDSLIMFLVDIFRSLFL GGCAGCGTGATCAACTCCTACATGAAGAAGAACGTGGTCGACTGGAAC nucleoti- SNCIDKNIDNVLSSIEEMFTDHYYNP AACAGGTACTCCTACAACCAGCTCAAGAACAAGGACAGCCTCATCATG dase MHSRLKYLIDDVGIFFTKLPITKAFHT TTCCTGGTGGACATCTTCCGCTCCCTCTTCCTGAGCAACTGCATCGACA YNKKYRITKRLYAPPTFNEVRHILNL AGAACATCGACAACGTCCTGTCCAGCATCGAGGAGATGTTCACCGACC AQILSLEDGLDLLTFDADETLYPDGY ACTACTACAACCCAATGCACAGCAGGCTCAAGTACCTGATCGACGACG DFHDEVLASYISSLLKKMNIAIVTAAS TGGGCATCTTCTTCACCAAGCTCCCAATCACCAAGGCCTTCCACACCTAC YSNDAEKYQKRLENLLRYFSKHNIE AACAAGAAGTACAGGATCACCAAGCGCCTGTACGCCCCACCAACCTTC DGSYENFYVMGGESNYLFKCNEDA AACGAGGTCCGCCACATCCTCAACCTGGCCCAAATCCTCTCCCTGGAGG NLYSVPEEEWYHYKKYVNKETVEQI ACGGCCTCGACCTCCTGACCTTCGACGCCGACGAGACGCTGTACCCAG LDISQKCLQQVITDFKLCAQIQRKEK ACGGCTACGACTTCCACGACGAGGTGCTCGCCAGCTACATCTCCAGCCT SIGLVPNKIPSANNQKEQKNYMIKYE CCTGAAGAAGATGAACATCGCCATCGTCACCGCCGCCTCCTACAGCAA VLEEAVIRVKKEIVKNKITAPYCAFNG CGACGCCGAGAAGTACCAGAAGAGGCTGGAGAACCTCCTGCGCTACTT GQDLWVDIGNKAEGLIILQKLLKIEKK CTCCAAGCACAACATCGAGGACGGCAGCTACGAGAACTTCTACGTGAT KCCHIGDQFLHSGNDFPTRFCSLTL GGGCGGCGAGTCCAACTACCTCTTCAAGTGCAACGAGGACGCCAACCT WISNPQETKACLKSIMNLNMKSFIPE GTACAGCGTCCCAGAGGAAGAGTGGTACCACTACAAGAAGTATGTGA VLYENEhhhhhh  ACAAGGAGACGGTCGAGCAAATCCTCGACATCTCCCAGAAGTGCCTGC (SEQ ID NO: 75) AACAAGTGATCACCGACTTCAAGCTCTGCGCCCAAATCCAGAGGAAGG AGAAGTCCATCGGCCTGGTCCCAAACAAGATCCCAAGCGCCAACAACC AAAAGGAGCAGAAGAACTACATGATCAAGTACGAGGTGCTCGAAGAG GCCGTGATCCGCGTCAAGAAGGAGATCGTCAAGAACAAGATCACCGCT CCATACTGCGCCTTCAACGGCGGCCAAGACCTGTGGGTGGACATCGGC AACAAGGCCGAGGGCCTCATCATCCTGCAAAAGCTCCTGAAGATCGAG AAGAAGAAGTGCTGCCACATCGGCGACCAGTTCCTCCACAGCGGCAAC GACTTCCCAACCCGCTTCTGCTCCCTCACCCTGTGGATCAGCAACCCAC AGGAGACGAAGGCCTGCCTCAAGTCCATCATGAACCTGAACATGAAGA GCTTCATCCCAGAGGTCCTCTACGAGAACGAGCACCACCACCACCACCA CTGA (SEQ ID NO: 76) 39 subpelli- PVX_ MEIIAEKPKVKFNFASEEYKNCDSSD ATGGAGATCATCGCCGAGAAGCCAAAGGTCAAGTTCAACTTCGCCTCC cular 098915 YSECAEDYGRPNGKDYFYANRILSL GAGGAGTACAAGAACTGCGACTCCAGCGACTACTCCGAGTGCGCTGA microtu- DRNSEQRRKESPSKRPGLCVDEICT GGACTACGGCAGGCCAAACGGCAAGGACTACTTCTACGCCAACAGGAT bule  CGFHRCPKIVKSLPFDGESNYRSEF CCTCTCCCTGGACCGCAACAGCGAGCAGAGGCGCAAGGAGTCCCCAA protein 1, GPKPLPELPPRQEAKLTRSLPFEGE GCAAGAGGCCAGGCCTCTGCGTGGACGAGATCTGCACCTGCGGCTTCC putative SNYRSEFGPKPLPELPPRVEQKPPK ACCGCTGCCCAAAGATCGTCAAGTCCCTGCCATTCGACGGCGAGTCCA (SPM1) SLPFDGESNYRSEFGPKPLPELPPR ACTACCGCAGCGAGTTCGGCCCAAAGCCACTCCCAGAGCTGCCACCAA VEQKPPKSLPFDGESNYRSEFGPKP GGCAAGAGGCCAAGCTCACCCGCAGCCTGCCATTCGAGGGCGAGTCC LPELPPRVEQKPPKSLPFEGESNYR AACTACAGGTCCGAGTTCGGGCCTAAGCCTCTGCCTGAGCTGCCACCA SEFGPKPLPELPPRVEQKPPKSLPF CGCGTGGAGCAAAAGCCACCAAAGTCCCTCCCTTTCGATGGGGAGAGC EGESNYRSEFGPKALPELPPRVEQK AACTACAGGAGTGAATTCGGGCCTAAGCCGCTGCCCGAGCTGCCACCA PPKSLPFEGESNYRSEFGPKPLPAL CGCGTCGAGCAGAAGCCACCAAAGAGCCTCCCTTTCGATGGCGAGAGC PPRVETKLVKSLPFEGESNYRSEFG AACTACAGGAGCGAATTTGGGCCTAAGCCGCTGCCGGAACTGCCACCA PKPLPELPPRVEQKPPKSLPFEGES CGCGTGGAACAAAAGCCACCAAAGAGCCTGCCTTTCGAGGGGGAGTC NYRSEFGPKPLPALPPRVVTKLVKS CAACTACAGGAGTGAGTTTGGGCCTAAGCCGTTGCCTGAACTGCCACC LPFEGESNYRSEFGPKPLPEIPPRV ACGCGTCGAACAGAAACCACCAAAAAGCCTCCCTTTCGAGGGCGAGAG EQKPPKSLPFEGESNYRSEFGPKPL CAACTACCGCTCCGAGTTCGGCCCAAAGGCTCTGCCGGAGCTGCCACC PELPPRVEQKPPKSLPFEGESNYRS ACGCGTGGAACAGAAACCACCAAAGAGCCTCCCCTTCGAGGGGGAGA EFGPKQLPELPPRQEAKLTRSLPFE GCAATTATCGCTCTGAGTTCGGGCCAAAGCCGCTGCCGGCTCTGCCACC GESSYRSEYVRKAIPICPVNLLPKYP ACGCGTGGAGACGAAGCTCGTCAAGAGCCTCCCGTTCGAGGGGGAGA APTYPSEHVFWDSACKRWYhhhhhh GCAACTATCGCTCCGAATTTGGGCCTAAACCACTGCCTGAACTGCCACC (SEQ ID NO: 77) ACGCGTGGAACAGAAGCCACCAAAAAGCCTCCCCTTTGAAGGGGAGA GCAATTACCGCTCCGAGTTCGGGCCCAAGCCGCTGCCGGCCCTGCCAC CACGCGTGGTCACCAAGCTCGTGAAGTCCCTCCCCTTTGAAGGCGAGA GCAACTACAGATCTGAGTTCGGGCCTAAGCCACTCCCAGAGATCCCAC CACGCGTCGAGCAAAAACCACCAAAATCTCTCCCCTTTGAGGGTGAGA GCAATTATCGCTCAGAGTTCGGGCCCAAGCCTCTGCCGGAGCTGCCAC CACGCGTCGAACAGAAGCCACCAAAGAGCTTACCTTTTGAAGGGGAGA GCAACTACCGCAGTGAATTCGGCCCAAAGCAGCTGCCAGAACTGCCAC CAAGGCAAGAGGCCAAACTCACCCGCTCCCTGCCTTTCGAGGGCGAGT CCAGCTACAGGAGCGAGTATGTGAGGAAGGCCATCCCAATCTGCCCAG TCAACCTCCTGCCAAAGTACCCAGCCCCAACCTACCCATCCGAGCACGT GTTCTGGGACAGCGCCTGCAAGCGCTGGTACCACCACCACCACCACCA CTGA (SEQ ID NO: 78) 40 trypto- PVX_ mAAANRPNANGFVSPTLIGFGELSI ATGGCTGCCGCCAACAGGCCAAACGCCAACGGCTTCGTCTCCCCAACC phan-rich 088820 QESEEFKRMAWNNWMLRLESDWK CTCATCGGCTTCGGCGAGCTGTCCATCCAAGAGAGCGAGGAGTTCAAG antigen HFNDSVEEAKTKWLHERDSAWSD AGGATGGCCTGGAACAACTGGATGCTCCGCCTGGAGTCCGACTGGAA (Pv-fam-a) WLRSLQSKWSHYSEKMLKEHKSNV GCACTTCAACGACAGCGTGGAGGAAGCCAAGACCAAGTGGCTGCACG MEKSANWNDTQWGNWIKTEGRKIL AGAGGGACTCCGCTTGGAGCGACTGGCTCCGCTCCCTGCAGAGCAAGT EAQWEKWIKKGDDQLQKLILDKWV GGTCCCACTACAGCGAGAAGATGCTGAAGGAGCACAAGTCCAACGTC QWKNDKIRSWLSSEWKTEEDYYWA ATGGAGAAGAGCGCCAACTGGAACGACACCCAATGGGGCAACTGGAT NVERATTAKWLQEAEKMHWLKWKE CAAGACCGAGGGCCGCAAGATCCTGGAGGCCCAGTGGGAGAAGTGG RINRESEQWVNWVOMKESVYINVE ATCAAGAAGGGCGACGACCAACTGCAGAAGCTCATCCTGGACAAGTG WKKWPKWKNDKKILFNKWSTNLVY GGTCCAGTGGAAGAACGACAAGATCAGGTCCTGGCTCTCCAGCGAGT KWTLKKQWNVWIKEANTAPQVhhhh GGAAGACCGAGGAAGACTACTACTGGGCTAACGTGGAGAGGGCTACC hh (SEQ ID NO: 79) ACCGCTAAGTGGCTCCAAGAGGCCGAGAAGATGCACTGGCTGAAGTG GAAGGAGAGGATCAACCGCGAGTCCGAGCAATGGGTGAACTGGGTCC AGATGAAGGAGAGCGTGTACATCAACGTCGAGTGGAAGAAGTGGCCA AAGTGGAAGAACGATAAGAAGATCCTGTTCAACAAGTGGAGCACCAA CCTCGTGTACAAGTGGACCCTGAAGAAGCAGTGGAACGTCTGGATCAA GGAAGCCAACACCGCCCCACAGGTGCACCACCACCACCACCACTGA (SEQ ID NO: 80) 41 PvTRAP/ PVX_ mEKVVDEVKYSEEVCNESVDLYLLV ATGGAGAAGGTGGTCGACGAGGTGAAGTACAGCGAGGAAGTGTGCA SSP2 082735 DGSGSIGYPNWITKVIPMLNGLINSL ACGAGTCCGTCGACCTCTACCTCCTGGTGGACGGCTCCGGCAGCATCG SLSRDTINLYMNLFGNYTTELIRLGS GCTACCCAAACTGGATCACCAAGGTCATCCCAATGCTCAACGGCCTGAT GQSIDKRQALSKVTELRKTYTPYGT CAACTCCCTCAGCCTGTCCCGCGACACCATCAACCTCTACATGAACCTG TNMTAALDEVQKHLNDRVNREKAIQ TTCGGCAACTACACCACCGAGCTCATCAGGCTGGGCAGCGGCCAATCC LVILMTDGVPNSKYRALEVANKLKQ ATCGACAAGCGCCAGGCCCTCAGCAAGGTGACCGAGCTGAGGAAGAC RNVSLAVIGVGQGINHQFNRLIAGC CTACACCCCATACGGCACCACCAACATGACCGCCGCCCTCGACGAGGT RPREPNCKFYSYADWNEAVALIKPFI GCAAAAGCACCTGAACGACAGGGTCAACCGCGAGAAGGCCATCCAGC AKVCTEVERVANCGPWDPWTACSV TCGTGATCCTGATGACCGACGGCGTCCCAAACAGCAAGTACCGCGCCC TCGRGTHSRSRPSLHEKCTTHMVS TGGAGGTGGCCAACAAGCTGAAGCAAAGGAACGTCTCCCTGGCCGTG ECEEGECPVEPEPLPVPAPLPTVPE ATCGGCGTGGGCCAAGGCATCAACCACCAGTTCAACAGGCTGATCGCT DVNPRDTDDENENPNFNKGLDVPD GGCTGCAGGCCACGCGAGCCAAACTGCAAGTTCTACAGCTACGCTGAC EDDDEVPPANEGADGNPVEENVFP TGGAACGAGGCTGTGGCTCTCATCAAGCCATTCATCGCCAAGGTCTGC PADDSVPDESNVLPLPPAVPGGSSE ACCGAGGTGGAGAGGGTGGCTAACTGCGGCCCATGGGACCCGTGGAC EFPADVQNNPDSPEELPMEQEVPQ CGCTTGCTCCGTGACCTGCGGCAGGGGCACCCACAGCAGGTCCCGCCC DNNVNEPERSDSNGYGVNEKVIPN AAGCCTGCACGAGAAGTGCACCACCCACATGGTGTCCGAGTGCGAGG PLDNERDMANKNKTVHPGRKDSAR AAGGCGAGTGCCCAGTGGAGCCAGAGCCACTGCCGGTCCCAGCCCCA DRYARPHGSTHVNNNRANENSDIP CTGCCAACCGTGCCAGAGGACGTCAACCCAAGGGACACCGACGACGA NNPVPSDYEQPEDKAKKSSNNGYK GAACGAGAACCCAAACTTCAACAAGGGCCTCGACGTGCCAGACGAGG hhhhhh (SEQ ID NO: 81) ACGACGACGAGGTCCCACCAGCTAACGAGGGCGCTGACGGCAACCCA GTGGAGGAGAACGTCTTCCCACCAGCCGACGACAGCGTGCCAGACGA GTCCAACGTGCTGCCACTGCCACCAGCTGTGCCAGGCGGCTCCAGCGA GGAGTTCCCAGCTGACGTCCAAAACAACCCAGACTCCCCAGAGGAGCT CCCGATGGAGCAAGAGGTGCCACAGGACAACAACGTCAACGAGCCAG AGCGCAGCGACTCCAACGGCTACGGCGTGAACGAGAAGGTCATCCCA AACCCACTGGACAACGAGAGGGACATGGCCAACAAGAACAAGACCGT GCACCCGGGCAGGAAGGACAGCGCCAGGGACCGCTACGCCAGGCCAC ACGGCTCCACCCACGTGAACAACAACAGGGCCAACGAGAACAGCGAC ATCCCAAACAACCCAGTCCCATCCGACTACGAGCAGCCAGAGGACAAG GCCAAGAAGTCCAGCAACAACGGCTACAAGCACCACCACCACCACCAC TGA (SEQ ID NO: 82) 42 MSP7-like PVX_ mDDKKDKENEHKEDADKKNNDELK ATGGACGACAAGAAGGACAAGGAGAACGAGCACAAGGAAGACGCCG protein 082645 TLKGKLQKIRVQIKDDKLPQKISEEQI ATAAGAAGAACAACGACGAGCTCAAGACCCTGAAGGGCAAGCTCCAA SVLKKKLEDFKNLKSEHEAKLASEK AAGATCAGGGTGCAGATCAAGGACGACAAGCTGCCACAAAAGATCTC GDTSAGGEGELGLSDKEFVGQNVK CGAGGAGCAGATCAGCGTCCTCAAGAAGAAGCTGGAGGACTTCAAGA ANGDAAGVSGEQGASGGSGQGEA ACCTCAAGTCCGAGCACGAGGCCAAGCTGGCCTCCGAGAAGGGCGAC GPSSPADEQDDDNEAVQWGPATEE ACCTCCGCCGGCGGCGAGGGCGAGCTGGGCCTGTCCGACAAGGAGTT VVAEAMSDEGPQEQGAEGGPSNPT CGTGGGCCAAAACGTCAAGGCCAACGGCGACGCCGCCGGCGTGAGCG DDQAEEATPGPSKPASGASGSQGA GCGAGCAAGGCGCCTCCGGCGGCAGCGGCCAGGGCGAGGCTGGCCC SDSSNDSAEPTSAAAAAAPAGPTAA ATCCAGCCCAGCCGACGAGCAAGACGACGACAACGAGGCTGTCCAGT AASPQVKHVDTLCDELLAGENKKNV GGGGCCCAGCTACCGAGGAAGTGGTGGCTGAGGCTATGTCCGACGAG LDEGEDHSQYNIFRKQYDKMVLNKT GGCCCACAAGAGCAGGGCGCTGAGGGCGGCCCAAGCAACCCAACCGA EYNISLKLLDTMLTNGQVEREKKNTL CGACCAAGCTGAGGAAGCCACCCCAGGCCCATCCAAGCCAGCTTCCGG IKTFKKALYDKQYSEKLRNLISGVYA CGCTTCCGGCAGCCAGGGCGCTTCCGACTCCAGCAACGACTCCGCCGA FAKRNNFIDGDKVKEGDYSKLFEYIG GCCAACCAGCGCTGCCGCCGCCGCCGCCCCAGCTGGCCCAACCGCTGC CMMNTLELhhhhhh CGCCGCCAGCCCACAGGTGAAGCACGTGGACACCCTCTGCGACGAGCT (SEQ ID NO: 83) CCTGGCTGGCGAGAACAAGAAGAACGTGCTGGACGAGGGCGAGGAC CACTCCCAATACAACATCTTCAGGAAGCAGTACGACAAGATGGTCCTCA ACAAGACCGAGTACAACATCAGCCTCAAGCTCCTGGACACCATGCTGA CCAACGGCCAAGTGGAGCGCGAGAAGAAGAACACCCTCATCAAGACC TTCAAGAAGGCCCTGTACGACAAGCAGTACTCCGAGAAGCTCAGGAAC CTGATCAGCGGCGTGTACGCCTTCGCCAAGCGCAACAACTTCATCGAC GGCGACAAGGTGAAGGAAGGCGACTACAGCAAGCTCTTCGAGTACAT CGGCTGCATGATGAACACCCTGGAGCTGCACCACCACCACCACCACTG A (SEQ ID NO: 84) 43 early PVX_ mKRHATRGALHSLKSIEHEVQRKKN ATGAAGAGGCACGCTACCCGCGGCGCCCTCCACTCCCTGAAGAGCATC trans- 111065 KKKKIILYSIGSILALAAVIATGVGIGM GAGCACGAGGTGCAAAGGAAGAAGAACAAGAAGAAGAAGATCATCCT cribed YIKKKKKNSLEKLQQIEPQKLESKTD CTACTCCATCGGCAGCATCCTGGCTCTGGCTGCCGTGATCGCTACCGGC membrane ESDPLLGKSEAAKVEVKGDSEEVPQ GTCGGCATCGGCATGTACATCAAGAAGAAGAAGAAGAACAGCCTGGA protein EVSSPSEALDVEPPVSEALNMEPAV GAAGCTGCAACAGATCGAGCCACAAAAGCTGGAGTCCAAGACCGACG (etramp GESANFEDSAKGEVDIEPVSEVESIE AGAGCGACCCACTCCTGGGCAAGAGCGAGGCTGCTAAGGTGGAGGTC 10.2) PVSEVESIEPVSEVESIEPSVDEVMD AAGGGCGACTCCGAGGAAGTGCCACAAGAGGTGTCCTCCCCGAGCGA AAEPISTEPVNVEPAGNETENIVPTS GGCTCTGGACGTGGAGCCACCAGTCTCCGAGGCCCTGAACATGGAGCC FEQVNIEPAVSEAFSQERSGEETAD AGCCGTGGGCGAGTCCGCCAACTTCGAGGACAGCGCCAAGGGCGAGG FEDSVKEDVIPESPPVESVTIEAENI TCGACATCGAGCCAGTGTCCGAGGTCGAGTCTATTGAACCAGTGTCCG QPMNVEQMNVDPTVSDAESIEPTPV AGGTGGAGTCTATTGAGCCAGTGTCCGAAGTCGAGAGCATCGAGCCAT EAVDIEPVNVEPVNVEPAVSETMSQ CCGTGGACGAGGTCATGGACGCTGCTGAGCCAATCAGCACCGAGCCA EPSLDEVENVESAVNEMMSQEPSA GTGAACGTCGAGCCAGCCGGCAACGAGACGGAGAACATCGTGCCAAC EETANFAHSIKEDVSPESTSVESLDV CTCCTTCGAGCAAGTGAACATCGAGCCAGCCGTCAGCGAGGCCTTCTC ESSVSEPMSTDPSPVESVSMESVD CCAAGAGAGGAGCGGCGAGGAGACGGCTGACTTCGAGGACTCCGTGA SETVNVESIDSETVNVEPSDETSKV AGGAAGACGTCATCCCAGAGTCCCCACCAGTGGAGAGCGTCACCATCG EADVQQFTDEELSTIGNVADKASDG AGGCCGAGAACATCCAACCGATGAACGTGGAGCAGATGAACGTGGAC PAPEASDFPDSIFEENLDNANPPLKL CCAACCGTCTCCGACGCCGAGAGCATCGAGCCAACCCCAGTGGAGGCC EDALVDPPASDEAQPEPSHPNEAV GTGGATATCGAGCCTGTCAACGTGGAGCCTGTCAACGTTGAGCCAGCC GAAKSAESAEADQISHSGSGDASPS GTGTCCGAGACGATGAGCCAAGAGCCATCCCTCGACGAGGTGGAGAA APSSSDDTSGSKNSGTSGKDRLFKT CGTCGAGAGCGCCGTCAACGAGATGATGTCCCAGGAGCCATCCGCTGA YDSDVEPPIVPEKYPTVGVKEAPKM GGAGACGGCCAACTTCGCCCACTCCATCAAGGAAGACGTGAGCCCAGA GFAEMAFKNIFDTFSKVADASKVLTP GAGCACCTCCGTCGAGTCCCTGGACGTGGAGTCCAGCGTCAGCGAGCC EKQSAPEKQSAPEKQSAPEKQSAP AATGTCCACCGACCCAAGCCCAGTGGAGAGCGTCTCCATGGAGTCCGT EKHSTPPKQSTSPKESTSPKQPAPP GGACAGCGAGACGGTGAACGTCGAGTCCATCGATTCCGAGACGGTCA KPSTSPKQSAPAKQSAPPKQSAPAK ACGTGGAGCCATCCGACGAGACGAGCAAGGTGGAGGCCGACGTCCAA QSAPAKNAAPPQSASSSRFFSSSSN CAGTTCACCGACGAGGAGCTCAGCACCATCGGCAACGTGGCTGACAAG GNKGFGLRLFSDASSSNNKKGRAG GCTTCCGACGGCCCAGCTCCAGAGGCCTCCGACTTCCCAGACAGCATCT NPIIRFKRRANhhhhhh TCGAGGAGAACCTCGACAACGCCAACCCACCACTCAAGCTGGAGGACG (SEQ ID NO: 85) CTCTGGTGGACCCACCAGCTAGCGACGAGGCTCAACCAGAGCCATCCC ACCCAAACGAGGCTGTGGGCGCTGCTAAGTCCGCTGAGAGCGCTGAG GCTGACCAAATCAGCCACTCCGGCAGCGGCGACGCTTCCCCAAGCGCT CCATCCAGCTCCGACGACACCTCCGGCAGCAAGAACTCCGGCACCAGC GGCAAGGACAGGCTCTTCAAGACCTACGACTCCGACGTGGAGCCACCA ATCGTCCCAGAGAAGTACCCAACCGTGGGCGTGAAGGAAGCCCCAAA GATGGGCTTCGCCGAGATGGCCTTCAAGAACATCTTCGACACCTTCTCC AAGGTGGCTGACGCTAGCAAGGTCCTGACCCCAGAGAAGCAATCCGCC CCAGAGAAGCAGAGCGCTCCTGAGAAGCAGAGCGCTCCCGAGAAGCA GAGCGCCCCAGAGAAGCACTCCACCCCACCAAAGCAATCCACCAGCCC AAAGGAGTCCACCAGCCCAAAGCAGCCAGCCCCACCAAAGCCATCCAC CAGCCCTAAGCAGTCCGCTCCAGCTAAGCAGTCCGCCCCACCAAAGCA GAGCGCTCCAGCTAAGCAATCCGCTCCAGCTAAGAACGCTGCCCCACC ACAGAGCGCCAGCTCCAGCAGGTTCTTCTCCAGCTCCAGCAACGGCAA CAAGGGCTTCGGCCTCAGGCTGTTCTCCGACGCCTCCAGCTCCAACAAC AAGAAGGGCAGGGCCGGCAACCCAATCATCCGCTTCAAGAGGCGCGC CAACCACCACCACCACCACCACTGA (SEQ ID NO: 86) 44 hypothe- PVX_ MNNPAEVVAAHLRRTGNSNEIRQAS ATGAACAACCCAGCTGAGGTGGTGGCTGCTCACCTGAGGCGCACCGGC tical 091500 HVESVGGSANSSLDDDDGGGYDSA AACTCCAACGAGATCAGGCAGGCTAGCCACGTGGAGAGCGTCGGCGG protein, APPGELHTTGDAPPGEFRTTGVVPP CTCCGCTAACTCCAGCCTCGACGACGACGACGGCGGCGGATACGACAG conserved GRQKGGKKRMFKIKKKKSLTPLHID CGCTGCCCCACCAGGCGAGCTCCACACCACCGGCGACGCCCCACCAGG DGGFTQGGEAKGPDVALESFAITRK CGAGTTCCGCACCACCGGCGTGGTCCCACCAGGCAGGCAAAAGGGCG RRRPPLLGRGVVESSNIELTSKLGG GCAAGAAGCGCATGTTCAAGATCAAGAAGAAGAAGTCCCTCACCCCAC KLGSKLGGKLNPTLSLVASRAVDGL TGCACATCGACGACGGCGGCTTCACCCAGGGCGGCGAGGCTAAGGGC LGGVHKHMQGPFSLDLDGTNNSPL CCAGACGTGGCTCTGGAGTCCTTCGCCATCACCAGGAAGAGGCGCAGG ATPIVTPNLYSNISTPFNMHNGIPPS CCACCACTCCTGGGCCGCGGCGTGGTCGAGTCCAGCAACATCGAGCTC APAPMALPPQGVQVPLPNAQPQPP ACCAGCAAGCTGGGCGGCAAGCTCGGCTCCAAGCTGGGCGGCAAGCT PSVATTATAAPAATSPMASPTTPTP CAACCCGACCCTCAGCCTGGTGGCCTCCAGGGCCGTGGACGGCCTCCT AASTGVPPPPGIQLATNAMTYPQMN GGGCGGCGTGCACAAGCACATGCAAGGCCCATTCAGCCTCGACCTGGA MQNVMTANQMAQNPAFNIHPTATN CGGCACCAACAACTCCCCACTGGCCACCCCAATCGTCACCCCAAACCTC LRDDPGNVNYNEVVTITIGIVICLFLF TACTCCAACATCAGCACCCCATTCAACATGCACAACGGCATCCCACCAA CFVFGCIVKMCKPAKRRRhhhhhh GCGCTCCAGCTCCAATGGCTCTGCCACCACAAGGCGTGCAGGTCCCAC (SEQ ID NO: 87) TCCCAAACGCCCAACCACAACCACCACCATCCGTGGCTACCACCGCTAC CGCTGCTCCAGCTGCTACCAGCCCAATGGCTTCCCCAACCACCCCAACC CCAGCTGCTAGCACCGGCGTGCCACCACCACCAGGCATCCAGCTGGCC ACCAACGCCATGACCTACCCACAGATGAACATGCAGAACGTCATGACC GCCAACCAAATGGCCCAGAACCCAGCCTTCAACATCCACCCGACCGCTA CCAACCTCAGGGACGACCCAGGCAACGTGAACTACAACGAGGTGGTC ACCATCACCATCGGCATCGTCATCTGCCTCTTCCTGTTCTGCTTCGTGTT CGGCTGCATCGTCAAGATGTGCAAGCCGGCTAAGCGCAGGCGCCATCA CCACCACCACCACTGA (SEQ ID NO: 88) 45 hypothe- PVX_ mSKTGNNNRNAKNAKGGGGGGKR ATGTCCAAGACCGGCAACAACAACAGGAACGCCAAGAACGCTAAGGG tical 090145 GNNEANKNDGMSGKGSQKGKKKD CGGCGGCGGCGGCGGCAAGAGGGGCAACAACGAGGCCAACAAGAAC protein, PGGGGTPKGQGKGPEQGKQKNKK GACGGCATGTCCGGCAAGGGCAGCCAAAAGGGCAAGAAGAAGGACC conserved GEDSHFDEYIKDMKNSQDEDNFMD CAGGCGGCGGCGGCACCCCGAAGGGCCAGGGCAAGGGCCCAGAGCA ELNRFEKNFHDEDFESDENLFNYGK AGGCAAGCAGAAGAACAAGAAGGGCGAGGACTCCCACTTCGACGAGT GGTHSGEFNKIGELNSGNYNEMKP ACATCAAGGACATGAAGAACAGCCAAGACGAGGACAACTTCATGGAC DANDYQYFDNEDILEGDEDLTNIWN GAGCTCAACAGGTTCGAGAAGAACTTCCACGACGAGGACTTCGAGTCC KNMQNFEPSTLLTFEIQGNSEEYLF GACGAGAACCTGTTCAACTACGGCAAGGGCGGCACCCACTCCGGCGA EEVTSLNTYFRGVFYSNNESDDNKI GTTCAACAAGATCGGCGAGCTCAACAGCGGCAACTACAACGAGATGA LFFITDPDGEVIYKKEASEGIFYFYTQ AGCCAGACGCCAACGACTACCAGTACTTCGACAACGAGGACATCCTGG KIGVYTITLKNSKWMGKKLTTVALGL AGGGCGACGAGGACCTGACCAACATCTGGAACAAGAACATGCAAAAC GESPSLKSEHIKDFTNYIDKIVAETKR TTCGAGCCAAGCACCCTCCTGACCTTCGAGATCCAGGGCAACTCCGAG LKNELKYLSSKHMTHIEKMKKITNKA GAGTACCTCTTCGAGGAAGTGACCAGCCTGAACACCTACTTCCGCGGC FLYCFIKLFVLVFLSLFTIYYIKNLVSN GTCTTCTACTCCAACAACGAGAGCGACGACAACAAGATCCTGTTCTTCA KRVLhhhhhh (SEQ ID NO: 89) TCACCGACCCAGACGGCGAGGTCATCTACAAGAAGGAAGCCTCCGAG GGCATCTTCTACTTCTACACCCAAAAGATCGGCGTGTACACCATCACCC TCAAGAACAGCAAGTGGATGGGCAAGAAGCTGACCACCGTGGCTCTG GGCCTGGGCGAGTCCCCAAGCCTCAAGAGCGAGCACATCAAGGACTTC ACCAACTACATCGACAAGATCGTCGCCGAGACGAAGAGGCTGAAGAA CGAGCTCAAGTACCTGTCCAGCAAGCACATGACCCACATCGAGAAGAT GAAGAAGATCACCAACAAGGCCTTCCTCTACTGCTTCATCAAGCTCTTC GTGCTGGTCTTCCTCTCCCTGTTCACCATCTACTACATCAAGAACCTCGT GAGCAACAAGCGCGTCCTGCACCACCACCACCACCACTGA  (SEQ ID NO: 90) 46 hypothe- PVX_ MNNHQAVKQQMNPKGSKEQNRMV ATGAACAACCACCAAGCCGTCAAGCAACAGATGAACCCAAAGGGCTCC tical 119265 APNSNMPGGMRDLAYHRNNGNNE AAGGAGCAGAACAGGATGGTGGCCCCAAACAGCAACATGCCAGGCGG protein, MGKMNMNANGQQHNAGSSNTYNS CATGAGGGACCTCGCTTACCACAGGAACAACGGCAACAACGAGATGG conserved NSINNNNYSLGLYIDNPQNAFVFDE GCAAGATGAACATGAACGCCAACGGCCAACAGCACAACGCCGGCTCCA NDLKTLFSHYKGAKNIRILNDKAAAQ GCAACACCTACAACTCCAACTCCATCAACAACAACAACTACTCCCTCGG ITFNDKNMIQQVRKDINGLTITDIGTI CCTGTACATCGACAACCCACAAAACGCCTTCGTCTTCGACGAGAACGAC RCIILNEGKIVEQFLPFSANDPASAQ CTCAAGACCCTGTTCAGCCACTACAAGGGCGCCAAGAACATCAGGATC QKGGSNQSGDSTVDMLKKLANLLQ CTCAACGACAAGGCTGCCGCCCAGATCACCTTCAACGACAAGAACATG PERAMDSSMAPKMGDNGGLSATG ATCCAACAGGTCAGGAAGGACATCAACGGCCTGACCATCACCGACATC SVNMGASIATNVGMGGNMPTNANM GGCACCATCCGCTGCATCATCCTCAACGAGGGCAAGATCGTGGAGCAA GGVITTNANVSANVSANVSANPMPG TTCCTGCCATTCTCCGCCAACGACCCGGCTAGCGCTCAACAGAAGGGC KNQVKNKMGNHAIYNNGGSHFNQA GGCTCCAACCAAAGCGGCGACTCCACCGTGGACATGCTCAAGAAGCTC HMNKGEPGENNPYATKRLSRIELIDI GCTAACCTCCTGCAGCCAGAGAGGGCCATGGACTCCAGCATGGCCCCA FGFPVEFDVMKKILGKNNSNISYIKE AAGATGGGCGACAACGGCGGCCTCTCCGCTACCGGCTCCGTCAACATG QTNNSVSIEIKGKPFNEAPIVERMHV GGCGCCTCCATCGCCACCAACGTGGGCATGGGCGGCAACATGCCAACC SVSSDDLIGYKKATELIVKLLNSIFEE AACGCCAACATGGGCGGCGTCATCACCACCAACGCCAACGTGAGCGCC FYDFCYEKNYPVPENLSFKRHEYMY AACGTCTCCGCTAACGTGAGCGCTAACCCAATGCCAGGCAAGAACCAA NPDGSTKYVGFKDKWHVMKDSYRT GTGAAGAACAAGATGGGCAACCACGCCATCTACAACAACGGCGGCTCC DYSFRKNKGLQKNDKDKRMHGGAF CACTTCAACCAGGCCCACATGAACAAGGGCGAGCCAGGCGAGAACAA GGHPNLSIGYANQNAPQGDFKEMN CCCATACGCCACCAAGAGGCTCAGCCGCATCGAGCTGATCGACATCTTC hhhhhh (SEQ ID NO: 91) GGCTTCCCAGTCGAGTTCGACGTGATGAAGAAGATCCTCGGCAAGAAC AACAGCAACATCTCCTACATCAAGGAGCAAACCAACAACTCCGTCAGC ATCGAGATCAAGGGCAAGCCATTCAACGAGGCCCCAATCGTGGAGCG CATGCACGTGTCCGTCTCCAGCGACGACCTCATCGGCTACAAGAAGGC CACCGAGCTGATCGTCAAGCTCCTGAACAGCATCTTCGAGGAGTTCTAC GACTTCTGCTACGAGAAGAACTACCCAGTGCCAGAGAACCTGTCCTTCA AGAGGCACGAGTACATGTACAACCCAGACGGCAGCACCAAGTATGTG GGCTTCAAGGACAAGTGGCACGTGATGAAGGACTCCTACAGGACCGA CTACAGCTTCCGCAAGAACAAGGGCCTCCAGAAGAACGACAAGGACA AGAGGATGCACGGCGGCGCTTTCGGCGGACACCCAAACCTGAGCATC GGCTACGCCAACCAAAACGCCCCACAGGGCGACTTCAAGGAGATGAA CCACCACCACCACCACCACTGA (SEQ ID NO: 92) 47 rhoptry PVX_ mREAKGSVRDGKQYVKTKSPTYTP ATGCGCGAGGCTAAGGGCTCCGTGCGCGACGGCAAGCAATACGTCAA neck 117880 QKKTKVIFYMPGQEQEEEEDDNDP GACCAAGAGCCCAACCTACACCCCACAGAAGAAGACCAAGGTCATCTT protein  NGSKKNGKSDTGANKGTHMGSKTD CTACATGCCAGGCCAAGAGCAAGAGGAAGAGGAAGACGACAACGACC 2, puta- AGNSPSGLNKGSGVGSGSRPASNN CAAACGGCTCCAAGAAGAACGGCAAGAGCGACACCGGCGCCAACAAG tive YKGNAGGGINIDMSPHGDNSNKGQ GGCACCCACATGGGCTCCAAGACCGACGCTGGCAACTCCCCGAGCGGC (RON2) QGNAGLNKNQEDTLRDEYEKIRKQE CTCAACAAGGGCTCCGGCGTGGGCTCCGGCAGCAGGCCAGCCAGCAA EEEEERINNORRADMKRAQRGKNK CAACTACAAGGGCAACGCCGGCGGCGGCATCAACATCGACATGTCCCC FGDDKGVQDShhhhhh ACACGGCGACAACAGCAACAAGGGCCAACAGGGCAACGCCGGCCTCA (SEQ ID NO: 93) ACAAGAACCAAGAGGACACCCTGAGGGACGAGTACGAGAAGATCCGC AAACAAGAGGAAGAGGAAGAGGAGCGCATCAACAACCAAAGGCGCG CTGACATGAAGAGGGCTCAGAGGGGCAAGAACAAGTTCGGCGACGAC AAGGGCGTGCAAGACAGCCACCACCACCACCACCACTGA (SEQ ID NO: 94) 48 trypto- PVX_ mSSQSAVDYIEQEPLDILNLEEGDLE ATGTCCAGCCAAAGCGCCGTGGACTACATCGAGCAGGAGCCACTCGAC phan-rich 121897 VTEQWKDNEWHNWKLKLEEDWDS ATCCTCAACCTCGAAGAGGGCGACCTGGAGGTCACCGAGCAGTGGAA antigen FSTSLIRDKKDFMKIKTDELNGWLNL GGACAACGAGTGGCACAACTGGAAGCTCAAGCTCGAAGAGGACTGGG (Pv-fam-a) EENKWNNFSGYLSDGYKNYLLKKS ACTCCTTCAGCACCTCCCTCATCAGGGACAAGAAGGACTTCATGAAGAT EKWNDADWENWANTEMVAHLDKD CAAGACCGACGAGCTGAACGGCTGGCTCAACCTGGAGGAGAACAAGT YHLWSLNTERSVNALVRGEWNQW GGAACAACTTCAGCGGCTACCTCTCCGACGGCTACAAGAACTACCTCCT QHDKMSSWLSSDWKKVGAMYWDL GAAGAAGTCCGAGAAGTGGAACGACGCCGACTGGGAGAACTGGGCC QESRNWASYSHTDDMKEHWIKWN AACACCGAGATGGTGGCCCACCTCGACAAGGACTACCACCTCTGGAGC DRNARENIEWSKWVQNKEYFIMYA CTGAACACCGAGAGGTCCGTGAACGCTCTGGTCCGCGGCGAGTGGAA RHSDIEQWKYDNYALYSTWRNDFIN CCAATGGCAGCACGACAAGATGTCCAGCTGGCTCTCCAGCGACTGGAA RWVSEKKWNSILNhhhhhh GAAGGTCGGCGCCATGTACTGGGACCTGCAGGAGAGCAGGAACTGGG (SEQ ID NO: 95) CCAGCTACTCCCACACCGACGACATGAAGGAGCACTGGATCAAGTGGA ACGACAGGAACGCCCGCGAGAACATCGAGTGGTCCAAGTGGGTGCAA AACAAGGAGTACTTCATCATGTACGCCCGCCACAGCGACATCGAGCAG TGGAAGTACGACAACTACGCCCTCTACTCCACCTGGAGGAACGACTTC ATCAACCGCTGGGTCAGCGAGAAGAAGTGGAACTCCATCCTGAACCAC CACCACCACCACCACTGA (SEQ ID NO: 96) 49 trypto- PVX_ mKSSNEIERLTHVKLKDTSEWTENV ATGAAGTCCAGCAACGAGATCGAGAGGCTCACCCACGTGAAGCTGAA phan-rich 125728 EEWVKDEWHEWMDEVQMDWKEF GGACACCTCCGAGTGGACCGAGAACGTGGAGGAGTGGGTCAAGGAC antigen NSSLESEKNKWFGKKEKEMMELIKS GAGTGGCACGAGTGGATGGACGAGGTCCAGATGGACTGGAAGGAGTT (Pv-fam-a) IEDKWLDFNENMHEVLNYAILKISLM CAACTCCAGCCTGGAGTCCGAGAAGAACAAGTGGTTCGGCAAGAAGG WSFSEWQKWINKDGKRIIENQWER AGAAGGAGATGATGGAGCTGATCAAGAGCATCGAGGACAAGTGGCTC WTISNKNLYYKIIMKEWFKWKNKKIK GACTTCAACGAGAACATGCACGAGGTGCTCAACTACGCCATCCTCAAG QWLKRNWLHHEGRILENWERLPYT ATCTCCCTGATGTGGTCCTTCAGCGAGTGGCAAAAGTGGATCAACAAG KILAMSEKKPWFNSNAQVINERDYF GACGGCAAGAGGATCATCGAGAACCAGTGGGAGCGCTGGACCATCAG LIWIKKKEDFLVNEERDKWENWEYY CAACAAGAACCTGTACTACAAGATCATCATGAAGGAGTGGTTCAAGTG KNDFFQTWMDSFLSHWLNIKKRDIL GAAGAACAAGAAGATCAAGCAATGGCTCAAGAGGAACTGGCTGCACC HSQShhhhhh  ACGAGGGCAGGATCCTGGAGAACTGGGAGCGCCTGCCATACACCAAG (SEQ ID NO: 97) ATCCTCGCCATGTCCGAGAAGAAGCCATGGTTCAACAGCAACGCCCAA GTGATCAACGAGAGGGACTACTTCCTGATCTGGATCAAGAAGAAGGA AGACTTCCTCGTCAACGAGGAGCGCGACAAGTGGGAGAACTGGGAGT ACTACAAGAACGACTTCTTCCAAACCTGGATGGACTCCTTCCTCAGCCA CTGGCTGAACATCAAGAAGCGCGACATCCTCCACTCCCAGAGCCACCA CCACCACCACCACTGA (SEQ ID NO: 98) 50 reticu- PVX_ mRLKHDHNLLPNYANLMRDDQNGQ ATGAGGCTCAAGCACGACCACAACCTCCTGCCAAACTACGCCAACCTG locyte 090330 NSENRGDNINNHNKNHNDQNNHNG ATGAGGGACGACCAAAACGGCCAGAACTCCGAGAACCGCGGCGACAA binding NNDNSINSEYLKTSHLQNSSAMVHL CATCAACAACCACAACAAGAACCACAACGACCAAAACAACCACAACGG protein 2 NDHKITTKPARYSYIQRSKIYAFNPN CAACAACGACAACTCCATCAACAGCGAGTACCTCAAGACCAGCCACCT precursor NKKIENINNELHShhhhhh GCAGAACTCCAGCGCCATGGTGCACCTCAACGACCACAAGATCACCAC (PvRBP-2), (SEQ ID NO: 99) CAAGCCAGCCAGGTACTCCTACATCCAACGCAGCAAGATCTACGCCTTC putative AACCCAAACAACAAGAAGATCGAGAACATCAACAACGAGCTGCACTCC CACCACCACCACCACCACTGA (SEQ ID NO: 100) 51 histone- PVX_ mSMEQGTPIVFPHKEGTILTKGTNN ATGTCCATGGAGCAAGGCACCCCAATCGTGTTCCCACACAAGGAAGGC lysine N- 123685 LAVAHKEEVHRSEEETTLKGLKEEL ACCATCCTCACCAAGGGCACCAACAACCTGGCCGTGGCCCACAAGGAA methyltra PHEHTLAIQKYDPSFGRGGSPGSGS GAGGTGCACAGGAGCGAGGAAGAGACGACCCTCAAGGGCCTGAAGG nsferase, TEHTNGSFSNSYETILYNKSNDVVK AAGAGCTCCCACACGAGCACACCCTGGCCATCCAGAAGTACGACCCAA H3 lysine- NLKEIKKGAPFGGVISDAVSCPASSS GCTTCGGCCGCGGCGGCTCCCCAGGCAGCGGCAGCACCGAGCACACC 4 specific, SNTGGNKNLCFSNMMKLSKKILGFP AACGGCTCCTTCAGCAACTCCTACGAGACGATCCTCTACAACAAGTCCA putative LLTDFERGMSTNQPCLPLSDHLKRL ACGACGTGGTCAAGAACCTGAAGGAGATCAAGAAGGGCGCTCCATTC (SET10) SVCTVCYSKHNDLAKAIICRVTKMHF GGCGGCGTGATCTCCGACGCCGTCTCCTGCCCGGCCTCCAGCTCCAGC EANYNDGLGDEDMFKTSSECIQSVI AACACCGGCGGCAACAAGAACCTCTGCTTCAGCAACATGATGAAGCTC RELANTIKEYRKRELSGAYVQELAR TCCAAGAAGATCCTGGGCTTCCCACTCCTGACCGACTTCGAGAGGGGC SGSSSYRSCSSSSYSSRGGSCAGS ATGAGCACCAACCAACCATGCCTCCCACTGAGCGACCACCTCAAGCGC RGDGLAGSHGEIHAVIAGPPLTDDH CTGTCCGTGTGCACCGTCTGCTACAGCAAGCACAACGACCTGGCCAAG NDIGAEAHSPSSSLKLPPQKPFYGM GCCATCATCTGCAGGGTGACCAAGATGCACTTCGAGGCCAACTACAAC MSDPPCSDRRPGDTNNPFENNTPP GACGGCCTCGGCGACGAGGACATGTTCAAGACCTCCAGCGAGTGCATC LLWDNKVNYTDDYTCKRGEVNSTL CAATCCGTGATCCGCGAGCTGGCCAACACCATCAAGGAGTACAGGAAG GKRPHEEDNKGSSQKKSKLRTKPS CGCGAGCTGTCCGGCGCCTACGTCCAAGAGCTCGCTAGGTCCGGCTCC NDTIGGENGDSLKGGTDEGKTHEG AGCTCCTACAGGAGCTGCAGCTCCAGCTCCTACAGCTCCAGGGGCGGC GGNVGSCTAQGGADQLPRSDLCRD AGCTGCGCTGGCTCCCGCGGCGACGGCCTCGCCGGCTCCCACGGCGAG PRGDPCVDPLPEQHAHRSKDENQK ATCCACGCCGTCATCGCTGGCCCACCACTGACCGACGACCACAACGAC GDKNDIHFAGEKLDEIEAPGDQKGN ATCGGCGCTGAGGCTCACAGCCCAAGCTCCAGCCTCAAGCTGCCACCA YVTLENISKASNFIPLLGVELGSTKIQ CAAAAGCCATTCTACGGCATGATGTCCGACCCACCATGCTCCGACAGG REFTNGTYVGTVTEQIKDEHGNPFF CGCCCAGGCGACACCAACAACCCATTCGAGAACAACACCCCACCACTCC VVTYEDGDAEWMTPCFLFQELLKQ TGTGGGACAACAAGGTGAACTACACCGACGACTACACCTGCAAGAGG STNSVDYPLATTFKEVFNPEFKKDL GGCGAGGTCAACTCCACCCTCGGCAAGCGCCCACACGAGGAAGACAA KLSNCSLELKIERRKRKSNCESASN CAAGGGCTCCAGCCAGAAGAAGTCCAAGCTCAGGACCAAGCCAAGCA NNSVSKRQKHAQEENSSRKKKQRF ACGACACCATCGGCGGCGAGAACGGCGACAGCCTGAAGGGCGGCACC hhhhhh (SEQ ID NO: 101) GACGAGGGCAAGACCCACGAGGGCGGCGGCAACGTGGGCTCCTGCAC CGCCCAAGGCGGCGCCGACCAGCTCCCAAGGTCCGACCTGTGCAGGG ACCCACGCGGCGACCCATGCGTCGACCCACTCCCAGAGCAACACGCCC ACCGCTCCAAGGACGAGAACCAGAAGGGCGACAAGAACGACATCCAC TTCGCCGGCGAGAAGCTCGACGAGATCGAGGCCCCAGGCGACCAAAA GGGCAACTACGTGACCCTGGAGAACATCAGCAAGGCCTCCAACTTCAT CCCGCTCCTGGGCGTGGAGCTGGGCAGCACCAAGATCCAACGCGAGTT CACCAACGGCACCTACGTGGGCACCGTCACCGAGCAGATCAAGGACG AGCACGGCAACCCATTCTTCGTGGTCACCTACGAGGACGGCGACGCTG AGTGGATGACCCCATGCTTCCTCTTCCAAGAGCTCCTGAAGCAGAGCAC CAACTCCGTGGACTACCCACTGGCCACCACCTTCAAGGAAGTGTTCAAC CCAGAGTTCAAGAAGGACCTCAAGCTGAGCAACTGCTCCCTGGAGCTG AAGATCGAGAGGCGCAAGAGGAAGTCCAACTGCGAGAGCGCCTCCAA CAACAACAGCGTGTCCAAGCGCCAAAAGCACGCCCAAGAGGAGAACT CCTCCAGGAAGAAGAAGCAGCGCTTCCACCACCACCACCACCACTGA (SEQ ID NO: 102) 52 reticu- PVX_ mTFNDGSDEISTAQKYKTDVEGIIDK ATGACCTTCAACGACGGCAGCGACGAGATCTCCACCGCCCAAAAGTAC locyte  125738 LNVIDETINGINSTLDELLELGNNCQL AAGACCGACGTGGAGGGCATCATCGACAAGCTGAACGTCATCGACGA binding HRTFLISSSLNNKIAKFLVEIREQKEN GACGATCAACGGCATCAACAGCACCCTGGACGAGCTCCTGGAGCTCGG protein 1 TKKCFQYVKRNHQHLANFVSELHKT CAACAACTGCCAACTCCACAGGACCTTCCTGATCTCCAGCTCCCTCAAC precursor, QGGIFENVNLVDNTPDADKYYHEFM AACAAGATCGCCAAGTTCCTCGTGGAGATCAGGGAGCAGAAGGAGAA putative EIEQEATKIVKDIKKEIYHLNDDVDEP CACCAAGAAGTGCTTCCAATACGTGAAGCGCAACCACCAGCACCTGGC VLEKRIKDVINTYNKLKTKKVQMDQS CAACTTCGTCTCCGAGCTCCACAAGACCCAAGGCGGCATCTTCGAGAA YKNMYITKLREVEGSHDLFNQVAQLI CGTCAACCTGGTGGACAACACCCCAGACGCCGACAAGTACTACCACGA RGETDKKGKALSERENNLHSIYNFV GTTCATGGAGATCGAGCAAGAGGCCACCAAGATCGTCAAGGACATCA KLHETELHNLYAKYTPEYMEKINKIF AGAAGGAGATCTACCACCTGAACGACGACGTGGACGAGCCAGTCCTG DDINARMIAVDLNDDHSSEYSDVKR GAGAAGAGGATCAAGGACGTGATCAACACCTACAACAAGCTGAAGAC HEHEAMLLMDATNNLSKEVEMMQN CAAGAAGGTCCAGATGGACCAGTCCTACAAGAACATGTACATCACCAA ESGGKNDGINGGKSQLVEDYTNTM GCTGAGGGAGGTGGAGGGCAGCCACGACCTGTTCAACCAAGTCGCCC SEFTEQAKTVAKKIHDSKGDYANMF AGCTCATCAGGGGCGAGACGGACAAGAAGGGCAAGGCCCTGTCCGAG DHIRENEAMLERIDLKKKDIKEILAHL CGCGAGAACAACCTCCACAGCATCTACAACTTCGTGAAGCTGCACGAG NRMKEYLLKKLSEEEKLHHMREKLE ACGGAGCTCCACAACCTGTACGCCAAGTACACCCCAGAGTACATGGAG EVNTSTDEIVKKFRTYDQMVDISQNI AAGATCAACAAGATCTTCGACGACATCAACGCCAGGATGATCGCCGTG DIKNVQSKRYDSVDEIDKEMSYIKTH GACCTCAACGACGACCACAGCTCCGAGTACAGCGACGTCAAGCGCCAC NKDLIDSKFIVERALENDKRKKSEMA GAGCACGAGGCCATGCTCCTGATGGACGCCACCAACAACCTGTCCAAG QIFSTISRDNSSMYEYAKSFFDSVLK GAAGTGGAGATGATGCAGAACGAGAGCGGCGGCAAGAACGACGGCA EIEKLTQMIRNMDKLINENEAVMEKL TCAACGGCGGCAAGTCCCAACTCGTGGAGGACTACACCAACACCATGA KDQRRELQNVENASTDLGKLEEVD GCGAGTTCACCGAGCAGGCCAAGACCGTCGCCAAGAAGATCCACGACT KMAQTKSETELSERNDSRNAKDGA CCAAGGGCGACTACGCCAACATGTTCGACCACATCAGGGAGAACGAG TYSTLMDDKETDSVNGEETKQENV GCCATGCTGGAGCGCATCGACCTCAAGAAGAAGGACATCAAGGAGAT VVKKGLPPQTDIYTSVVLKNDRNDQ CCTCGCCCACCTGAACAGGATGAAGGAGTACCTCCTGAAGAAGCTGTC KSEKIGEKKSNKPVGTEENIQHSSYL CGAGGAAGAGAAGCTCCACCACATGCGCGAGAAGCTCGAAGAGGTGA NNDNSNNDIDVGTLYTLGGYNAPND ACACGAGCACCGACGAGATCGTCAAGAAGTTCCGCACCTACGACCAAA NYNTNESGDDINEEAKKKRNAVLFV TGGTGGACATCTCCCAGAACATCGACATCAAGAACGTGCAAAGCAAGC YVGGLFSALFICIGAVFYLLHRKIGIE GCTACGACTCCGTCGACGAGATCGACAAGGAGATGTCCTACATCAAGA GVGKSDHEKKPTIEDTKIEVFEETNG CCCACAACAAGGACCTGATCGACAGCAAGTTCATCGTCGAGAGGGCCC SKRNVKDEVIDVPFVDMEDNLhhhhh TGGAGAACGACAAGCGCAAGAAGAGCGAGATGGCCCAAATCTTCAGC h (SEQ ID NO: 103) ACCATCTCCAGGGACAACAGCTCCATGTACGAGTACGCCAAGAGCTTC TTCGACTCCGTGCTGAAGGAGATCGAGAAGCTCACCCAGATGATCCGC AACATGGACAAGCTCATCAACGAGAACGAGGCCGTCATGGAGAAGCT GAAGGACCAAAGGCGCGAGCTCCAGAACGTGGAGAACGCCTCCACCG ACCTCGGCAAGCTCGAAGAGGTGGACAAGATGGCCCAGACCAAGAGC GAGACGGAGCTGTCCGAGAGGAACGACAGCCGCAACGCTAAGGACG GCGCTACCTACTCCACCCTCATGGACGACAAGGAGACGGACAGCGTGA ACGGCGAGGAGACGAAGCAAGAGAACGTGGTCGTGAAGAAGGGCCT GCCACCACAGACCGACATCTACACCAGCGTCGTGCTCAAGAACGACAG GAACGACCAAAAGTCCGAGAAGATCGGCGAGAAGAAGAGCAACAAGC CAGTGGGCACCGAGGAGAACATCCAGCACAGCTCCTACCTCAACAACG ACAACTCCAACAACGACATCGACGTGGGCACCCTCTACACCCTGGGCG GCTACAACGCCCCAAACGACAACTACAACACCAACGAGAGCGGCGACG ACATCAACGAGGAAGCCAAGAAGAAGAGGAACGCCGTGCTCTTCGTCT ACGTGGGCGGCCTCTTCTCCGCCCTGTTCATCTGCATCGGCGCCGTGTT CTACCTCCTGCACCGCAAGATCGGCATCGAGGGCGTCGGCAAGAGCGA CCACGAGAAGAAGCCAACCATCGAGGACACCAAGATCGAGGTGTTCG AGGAGACGAACGGCTCCAAGCGCAACGTCAAGGACGAGGTCATCGAC GTGCCATTCGTCGACATGGAGGACAACCTCCACCACCACCACCACCACT GA (SEQ ID NO: 104) 53 PvDBP  PVX_ mGEHKTDSKTDNGKGANNLVMLDY ATGGGCGAGCACAAGACCGACTCCAAGACCGACAACGGCAAGGGCGC (reqion 110810 ETSSNGQPAGTLDNVLEFVTGHEG CAACAACCTGGTCATGCTCGACTACGAGACGTCCTCCAACGGCCAGCC II); NSRKNSSNGGNPYDIDHKKTISSAII AGCTGGCACCCTGGACAACGTGCTGGAGTTCGTCACCGGCCACGAGG Duffy NHAFLQNTVMKNCNYKRKRRERDW GCAACAGCAGGAAGAACTCCAGCAACGGCGGCAACCCATACGACATC receptor DCNTKKDVCIPDRRYQLCMKELTNL GACCACAAGAAGACCATCTCCAGCGCCATCATCAACCACGCCTTCCTGC precursor VNNTDTNFHRDITFRKLYLKRKLIYD AGAACACCGTGATGAAGAACTGCAACTACAAGAGGAAGAGGCGCGAG (DBP) AAVEGDLLLKLNNYRYNKDFCKDIR CGCGACTGGGACTGCAACACCAAGAAGGACGTCTGCATCCCAGACAG WSLGDFGDIIMGTDMEGIGYSKVVE GCGCTACCAACTCTGCATGAAGGAGCTGACCAACCTCGTGAACAACAC NNLRSIFGTDEKAQQRRKQWWNES CGACACCAACTTCCACAGGGACATCACCTTCCGCAAGCTGTACCTCAAG KAQIWTAMMYSVKKRLKGNFIWICK AGGAAGCTGATCTACGACGCTGCTGTGGAGGGCGACCTCCTGCTCAAG LNVAVNIEPQIYRWIREWGRDYVSE CTCAACAACTACAGGTACAACAAGGACTTCTGCAAGGACATCCGCTGG LPTEVQKLKEKCDGKINYTDKKVCK TCCCTGGGCGACTTCGGCGACATCATCATGGGCACCGACATGGAGGGC VPPCQNACKSYDQWITRKKNQWDV ATCGGCTACTCCAAGGTGGTCGAGAACAACCTCCGCAGCATCTTCGGC LSNKFISVKNAEKVQTAGIVTPYDILK ACCGACGAGAAGGCCCAACAGAGGCGCAAGCAATGGTGGAACGAGTC QELDEFNEVAFENEINKRDGAYIELC CAAGGCCCAGATCTGGACCGCCATGATGTACAGCGTGAAGAAGAGGC VCSVEEAKKNTQEVVhhhhhh TGAAGGGCAACTTCATCTGGATCTGCAAGCTCAACGTGGCCGTCAACA (SEQ ID NO: 105) TCGAGCCACAGATCTACAGGTGGATCAGGGAGTGGGGCAGGGACTAC GTCTCCGAGCTGCCAACCGAGGTGCAAAAGCTCAAGGAGAAGTGCGA CGGCAAGATCAACTACACCGACAAGAAGGTGTGCAAGGTCCCACCATG CCAAAACGCCTGCAAGAGCTACGACCAGTGGATCACCAGGAAGAAGA ACCAATGGGACGTCCTGTCCAACAAGTTCATCAGCGTGAAGAACGCCG AGAAGGTCCAGACCGCCGGCATCGTGACCCCATACGACATCCTGAAGC AAGAGCTCGACGAGTTCAACGAGGTGGCCTTCGAGAACGAGATCAAC AAGCGCGACGGCGCCTACATCGAGCTCTGCGTGTGCAGCGTCGAGGA AGCCAAGAAGAACACCCAAGAGGTGGTCCACCACCACCACCACCACTG A (SEQ ID NO: 106) 54 MSP3.10 PVX_ mVIGGSPNNEAPNSSRHHLRNGFP ATGGTCATCGGCGGCTCCCCAAACAACGAGGCCCCAAACTCCAGCAGG [merozo- 097720 GKNDSLPHEEPNNLEGKNESSDQC CACCACCTCCGCAACGGCTTCCCAGGCAAGAACGACTCCCTCCCACACG ite DTINLGOVTEKEKKTIEQASVQAQD AGGAGCCAAACAACCTGGAGGGCAAGAACGAGTCCAGCGACCAATGC surface ATKPEANNAEQIQAELQKVKTAKDE GACACCATCAACCTGGGCCAGGTGACCGAGAAGGAGAAGAAGACCAT protein SATAAKDAETAKKNAVDAGKGLDAA CGAGCAAGCTAGCGTCCAAGCTCAGGACGCTACCAAGCCAGAGGCCA 3 alpha KGAIKKAEEAAAEAKKQAGIAEKAEK ACAACGCCGAGCAAATCCAGGCCGAGCTCCAAAAGGTGAAGACCGCT (MSP3a)] DAEAAGKKDKLEDVNSQVQIAVEAS AAGGACGAGTCCGCTACCGCTGCTAAGGACGCTGAGACGGCCAAGAA TKAKDKKTEAEIAVEIVKAVVAKEEA GAACGCTGTGGACGCTGGCAAGGGCCTGGACGCCGCCAAGGGCGCCA QKASDEAQKACEKAQKAHAKAQKA TCAAGAAGGCTGAGGAAGCCGCCGCCGAGGCCAAGAAGCAGGCTGGC SDTTKTVETFKTNAEAAAKNAKEKA ATCGCCGAGAAGGCTGAGAAGGACGCTGAGGCTGCTGGCAAGAAGG GNANKAATEAESANELSVAKQKAKD ACAAGCTGGAGGACGTGAACAGCCAAGTCCAGATCGCCGTGGAGGCC AEEAAKEAKKEQVKAEIAAEVAKAK TCCACCAAGGCCAAGGACAAGAAGACCGAGGCCGAGATCGCCGTGGA VAKEEADAAQKKAEAAKKIVDKIAQD GATCGTCAAGGCCGTGGTCGCCAAGGAAGAGGCCCAAAAGGCTAGCG TKVPEAQREAKLATQTASKATEAAT ACGAGGCTCAGAAGGCTTGCGAGAAGGCCCAAAAGGCTCACGCTAAG EAGKKAQEAEESSKEAEEKAETSDA GCTCAGAAGGCTTCCGACACCACCAAGACCGTGGAGACGTTCAAGACC VKGKADAAEKAAGEAKKASIETEIAI AACGCCGAGGCTGCCGCCAAGAACGCCAAGGAGAAGGCTGGCAACGC EVAKAEVLNAEVKKTAQEAEKDATE TAACAAGGCTGCTACCGAGGCTGAGAGCGCTAACGAGCTCTCCGTGGC AKEQAEKAKAAAEEAKTHGEKAEKV CAAGCAGAAGGCCAAGGACGCCGAGGAAGCCGCCAAGGAAGCCAAG GESTKAHSDEAQQENKNAKDASEE AAGGAGCAAGTCAAGGCTGAGATCGCTGCTGAGGTGGCTAAGGCTAA AENRAVDALEEAYAVEAHLARTKNA GGTGGCTAAGGAAGAGGCCGACGCTGCTCAGAAGAAGGCTGAGGCC AESAKSATDMSELEKAKEEAIDAANI GCCAAGAAGATCGTGGACAAGATCGCCCAAGACACCAAGGTGCCGGA AHQKWLKATQAATIAKEKKEAAKVA GGCTCAGAGGGAGGCTAAGCTGGCTACCCAGACCGCTAGCAAGGCTA AEKAQTAANVVKDKAAKAEAKKAET CCGAGGCCGCCACCGAGGCTGGCAAGAAGGCTCAAGAGGCCGAGGA EAVKAAVEARAAAEEAKQEAAKVGA GTCCAGCAAGGAAGCCGAGGAGAAGGCTGAGACGAGCGACGCTGTG SKEPQETKNKANVEAEATGNEAKKA AAGGGCAAGGCTGACGCTGCTGAGAAGGCTGCTGGCGAGGCCAAGAA EDAAEEAKEAAKKANEATDANVARS GGCTTCCATCGAGACGGAGATCGCCATCGAGGTCGCCAAGGCCGAGG EADKAIAAAKKAKKAREKAAYGLLKT TGCTCAACGCCGAGGTCAAGAAGACCGCTCAAGAGGCCGAGAAGGAC KNQYVLEPLDISPESADNITSKEEQV GCTACCGAGGCCAAGGAGCAAGCCGAGAAGGCCAAGGCTGCCGCCGA KEEMEDQGDEDSNEAEVEEALPNG GGAAGCCAAGACCCACGGCGAGAAGGCTGAGAAGGTGGGCGAGAGC SGAQEEDVNLEMDDEEEVEEVEEN ACCAAGGCCCACTCCGACGAGGCCCAACAGGAGAACAAGAACGCCAA VATNQQTGGKREKRNTNDTVDDTN GGACGCCAGCGAGGAAGCCGAGAACAGGGCTGTGGACGCTCTCGAAG ADKQFGDEFDTYNDIKKVTEALVKS AGGCCTACGCTGTGGAGGCTCACCTGGCTAGGACCAAGAACGCTGCTG MTSLVSDDPSVGDTINEFLSDMNHL AGTCCGCTAAGAGCGCTACCGACATGTCCGAGCTGGAGAAGGCCAAG FLSWhhhhhh  GAAGAGGCCATCGACGCCGCCAACATCGCCCACCAAAAGTGGCTCAAG (SEQ ID NO: 107) GCTACCCAGGCTGCTACCATCGCTAAGGAGAAGAAGGAAGCCGCCAA GGTGGCTGCTGAGAAGGCTCAGACCGCTGCCAACGTGGTCAAGGACA AGGCTGCTAAGGCTGAGGCCAAGAAGGCTGAGACGGAGGCCGTCAAG GCTGCTGTGGAGGCCAGGGCCGCCGCCGAGGAAGCCAAACAAGAGGC CGCTAAGGTCGGCGCTAGCAAGGAGCCACAAGAGACGAAGAACAAGG CTAACGTGGAGGCTGAGGCTACCGGCAACGAGGCCAAGAAGGCCGAG GACGCTGCTGAGGAAGCCAAGGAAGCCGCCAAGAAGGCTAACGAGGC TACCGACGCTAACGTGGCTAGGTCCGAGGCTGACAAGGCTATCGCCGC CGCCAAGAAGGCCAAGAAGGCCCGCGAGAAGGCTGCTTACGGCCTCC TGAAGACCAAGAACCAATACGTGCTGGAGCCACTGGACATCTCCCCAG AGAGCGCCGACAACATCACCTCCAAGGAAGAGCAGGTGAAGGAAGAG ATGGAGGACCAAGGCGACGAGGACAGCAACGAGGCCGAGGTGGAGG AAGCCCTGCCAAACGGCTCCGGCGCTCAAGAGGAAGACGTCAACCTG GAGATGGACGACGAGGAAGAGGTGGAGGAAGTGGAGGAGAACGTG GCCACCAACCAACAGACCGGCGGCAAGAGGGAGAAGCGCAACACCAA CGACACCGTCGACGACACCAACGCCGACAAGCAATTCGGCGACGAGTT CGACACCTACAACGACATCAAGAAGGTGACCGAGGCCCTCGTCAAGTC CATGACCAGCCTGGTGTCCGACGACCCATCCGTGGGCGACACCATCAA CGAGTTCCTCAGCGACATGAACCACCTCTTCCTGTCCTGGCACCACCA CCACCACCACTGA (SEQ ID NO: 108) 55 sexual PVX_ mENNKIKGGKVPPPSVPTGNNSDN ATGGAGAACAACAAGATCAAGGGCGGCAAGGTGCCACCACCATCCGT stage 000930 NVPKKDGGENNPPPDAENALQELK CCCAACCGGCAACAACTCCGACAACAACGTGCCAAAGAAGGACGGCG antigen NFTKNLEKKTTTNRNIIISTTVINMVLL GCGAGAACAACCCACCACCAGACGCCGAGAACGCCCTCCAAGAGCTGA s16, VLLSGLIGYNTKKGFKKGQMGSVKE AGAACTTCACCAAGAACCTGGAGAAGAAGACCACCACCAACAGGAAC putative VTPEAQKGKLhhhhhh ATCATCATCTCCACCACCGTCATCAACATGGTGCTCCTGGTCCTCCTGA (SEQ ID NO: 109) GCGGCCTGATCGGCTACAACACCAAGAAGGGCTTCAAGAAGGGCCAAA TGGGCTCCGTGAAGGAAGTGACCCCAGAGGCCCAGAAGGGCAAGCTC CACCACCACCACCACCACTGA (SEQ ID NO: 110) 56 Posi- tive Cont- rol? 57 Nega- tive Cont- rol?

APPENDIX II

(158) TABLE-US-00009 TABLE 5 list of protein references for additional 25 proteins Protein Protein Code Protein Name Reference Source X1 PVX_094350 PVX_094350 Ehime University X2 PVX_099930 PVX_099930 Ehime University X3 PVX_114330 PVX_114330 Ehime University X4 PVX_088820 PVX_088820 Ehime University X5 PVX_080665 PVX_080665 Ehime University X6 PVX_092995 PVX_092995 Ehime University X7 PVX_087885 PVX_087885 Ehime University X8 PVX_003795 PVX_003795 Ehime University X9 PVX_087110 PVX_087110 Ehime University X10 PVX_087670 PVX_087670 Ehime University X11 PVX_081330 PVX_081330 Ehime University X12 PVX_122805 PVX_122805 Ehime University V1 RBP1b (P7) PVX_098582 WEHI V2 RBP2a (P9) PVX_121920 WEHI V3 RBP2b (P25) PVX_094255 WEHI V4 RBP2cNB (M5) PVX_090325 WEHI V12 RBP1a (P5) PVX_098585 WEHI V5 RBP2-P2 (P55) PVX_101590 WEHI V11 PvEBP KMZ83376.1 IPP V10 Pv DBPII (AH) AAY34130.1 IPP V13 Pv DBPII (SaII) PVX_110810 IPP V6 PvDBP R3-5 PVX_110810 WEHI V7 PvGAMA PVX_088910 WEHI V8 PvRipr PVX_095055 WEHI V9 PvCYRPA PVX_090240 WEHI

(159) List of protein sequences (insert aa sequence)

(160) TABLE-US-00010 X1: (SEQ ID NO: 111) ENPVRHSVDIKSEDFVVLISLQNLQTFIMIGYTAVNKDHLNFDFSYLWALCIGTGLFIYSL ISFVLIRSLALSKIDIGKYVLELLFSLSIIATCSLSIIIDSFKIANMQLLFFSFALTGYAYYNL MSLFFFCTLVGMTIQYNLSFTGFRAHSTSFFFLDMLSYLVQMIGGNILYFRMYELCTLIVI SKRNPCKYVVASKEVKQVEKQIFSSLENSYMCIKSKTYSDLTCTNDLLNKDSQSVVGRD TNPKWNSPIGTSYQDKVNHTKKLLLRRGKRDKRYPKGGGGARLTCAKHSAYHNSRSL ANCASKNTPICTTNFRISNTLSLKNHFNPNLTLEASPPVCKKCVSEKNSHKDNEYKNGEE RKKAKRGIKSGTANKSNQLGNHGGDATQVANPTYRTTSHGGDATQVAYPTYRTTSHG GDATQVDSPTHPTTSHGGNNSSSGHPQDDEVLIPIRGTNATNDAAATYNSNASWIKTAA VIDVSVEGKQKKGGHQTFAGNPVNSSANFPSDKKPSYNSHRNGGTPPPNEQLRYYACPC YQTHSSGSSLSEVPSGQTTKRKNSAHNSVEGGNPKMDNQQSRRVSNKRVDGATGEEHD HPSDPPADNPNGNSNTYHC X2 (SEQ ID NO: 112) ELSHSLSVKNAPDASALNIEVEKDKKKICKNAFQYINVAELLSPREEETYVQKCEEVLDT IKNDSPDESAEAEINEFILSLLHARSKYTIINDSDEEVLSKLLRSINGSISEEAALKRAKQLI TFNRFIKDKAKVKNVQEMLVISSKADDFMNEPKQKMLQKIIDSFELYNDYLVILGSNINI AKRYSSETFLSIKNEKFCSDHIHLCQKFYEQSIIYYRLKVIFDNLVTYVDQNSKHFKKEKL LELLNMDYRVNRESKVHENYVLEDETVIPTMTITDIYDQDRLIVEVVQDGNSKLMHGR DIEKREISERYIVTVKNLRKDLNDEGLYADLMKTVKNYVLSITQIDNDISNLVRELDHED VEK X3 (SEQ ID NO: 113) LPWTKKRKAVNQMGIIKDMSQELRTKAEQLPTPEDISAKIHRVDKEVIDKLNKDIIEEEN LDKHKPHVCQEPAYERDYSYLCPEDWVKNSNDQCWGIDYDGHCEALKYFQDYSVEEK KEFEMNCCVLWPKLKNEGMKGAHKKDLLRGSISSNNGLIIKPKYL X4 (SEQ ID NO: 114) ELKKNNAALTSQRSSSRTTSTRSYKNAPKNSTSFLSRLSILIFALSCAIFVNTASGAAANR PNANGFVSPTLIGFGELSIQESEEFKRMAWNNWMLRLESDWKHFNDSVEEAKTKWLHE RDSAWSDWLRLQSKWSHYSEKMLKEHKSNVMEKSANWNDTQWGNWIKTEGRKILE AQWEKWIKKGDDQLQKLILDKWVQWKNDKIRSWLSSEWKTEEDYYWANVERATTAK WLQEAEKMHWLKWKERINRESEQWVNWVQMKESVYINVEWKKWPKWKNDKKILFN KWSTNLVYKWTLKKQWNVWIKEANTAPQV X5 (SEQ ID NO: 115) KGVTLSCVFSHASEEREGGTGTFALSNEPIYYAPSGGLAPCALISRGLSGDEEGSGEDGG EDGDGDGGEDSAEDNAEDGDDDGGEDGGLPGGRFPYEEGKKSSLVSDAPSDLLDGDA DEHAAEDGGAKRKMSKKEEEAEDNKIDKLVNAEMKKLEAGEEANKDPDAEPEKEDQG SGQGQRAKLRCSNKLNYIQVTANGQREGDLFGENDGESAPAFVEIPHEVEEESGGVPTK HDEAGEAAAAEEPHNRVDRAEKENNAKDLKFVEGERERQRSSPPSNGYSQNSFVELKG VPDKLPPNFTNSLGSSPTHSNLEKPVYKHLPWSILASDSGSNTGSWADVNSSTYNVSPFS FTSIRSGNSLHLLPMNFQIQNSIVKVTDEEYDKLKLKNSVKVYDKNALVDYKYEIFEVKE GEEYNDGNDPYEERNGEEGDAGGEGGSDGEGDADSKSYQNNKSDGRGFFDGTLVTYTI IILAGVIILLLSFVIYYYDIINKVKRRMSAKRKNNKSMAIANDTSAGMYMGDTYMENPH V X6 (SEQ ID NO: 116) SQGCSGYRLPPPKRWFTFTSRPYCKTAAYYELKHMPYYVDAVSASENVKHEKWNNWL KEMKISLTEKLEKESQEYMEKLEQQWDEFMKNSEDKWRHYNPQMEEEYQCSVYPLGL KWDDEKWTAWFYEKGLWCLKKSFKTWLTDSKKGYNTYMKNLLQEFGKQFYEDWCR RPEKRREDKICKRWGQKGLRNDNYYSLKWMQWRNWKNRNHDQKHVWVTLMKDAL KEYTGPEFKLWTEFRKEKIDFYKQWMQAFAEQWTQDKQWNTWTEERNEYMKKKKEE EAKKKAASKKKAASKKGGAAKKAPAKKAPTKKAAPGTKAPAKKAAPKKVAAPNAA X7 (SEQ ID NO: 117) KEAVKKGSKKAMKQPMHKPNLLEEEDFEEKESFSDDEMNGFMEESMDASKLDAKKAK TTLRSSEKKKTPTSGMSGMSGSGATSAATEAATNMNATAMNAAAKGNSEASKKQTDL SNEDLFNDELTEEVIADSYEEGGNVGSEEAESLTNAFDDKLLDQGVNENTLLNDNMIYN VNMVPHKKRELYISPHKHTSAASSKNGKHHAADADALDKKLRAHELLELENGEGSNSV IVETEEVDVDLNGGKSSGSVSFLSSVVFLLIGLLCFTN X8 (SEQ ID NO: 118) NLSNDCKKGANNSFKLIVHTSDDILTLKWKVTGEGAAPGNKADVKKYKLPTLERPFTSV QVHSANAKSKIIESKFYDIGSGMPAQCSAIATNCFLSGSLEIEHCYHCTLLEKKLAQDSEC FKYVSSEAKELIEKDTPIKAQEEDANSADHKLIESIDVILKAVYKSDKDEEKKELITPEEV DENLKKELANYCTLLKEVDTSGTLNNHQMANEEETFRNLTRLLRMHSEENVVTLQDKL RNAAICIKHIDKWILNKRGLTLPEEGYPSEGYPPEEYPPEELLKEIEKEKSALNDEAFAKD TNGVIHLDKPPNEMKFKSPYFKKSKYCNNEYCDRWKDKTSCMSNIEVEEQGDCGLCWI FASKLHLETIRCMRGYGHFRSSALFVANCSKRKPEDRCNVGSNPTEFLQIVKDTGFLPLE SDLPYSYSDAGNSCPNKRNKWTNLWGDTKLLYHKRPNQFAQLGYVSYESSRFEHSID LFIDILKREIQNKGSVIIYIKTNNVIDYDFNGRVVHSLCGHKDADHAANLIGYGNYISAGG EKRSYWIVRNSWGYYWGDEGNFKVDMYGPEGCKRNFIHTAVVFKIDLGIVEVPKKDEG SIYSYFVQYVPNFLHSLFYVSYGKGADKGAAVVTGQAGGAVVTGQTETPTPEAAKNGD QPGAQGSEAEVAEGGQAGNEAPGGLQESAVSSQTSEVTPQSSITAPQIGAVAPQIGAAAP QIDVAAPQIDVVAPQTRSVDAPQTSSVAAHPPNVTPQNVTLGEGQHAGGVGSLIPADN X9 (SEQ ID NO: 119) ETLLDSETLKNYEKETNEYIRKKKVEKLFDVILKNVLVNKPENVYLYIYKNIYSFLLNKIF VIGPPLLKITPTLCSAIASCFSYYHLSASHMIESYTTGEVDDAAESSTSKKLVSDDLICSIV KSNINQLNAKQKRGYVVEGFPGTNLQADSCLRHLPSYVFVLYADEEYIYDKYEQENNV KIRSDMNSQTFDENTQLFEVAEFNTNPLKDEVKVYLRN X10 (SEQ ID NO: 120) YPKKNFDKPDPTSPYQGQYGESEEQRQGYGIPPNPTMINLTGNQDQRPNVLQQFGINNK NVMQFLINMFVYVAAILVSLKIWDYMSYSKCDYYKDLLLRIVRYQSHMNDGKMA X11 (SEQ ID NO: 121) SRIDKQPIQSSYLFQDNAVPPVRFSAVDADLFSIGVVHTEEQIFMDDANWVISSVPSKYL NLHLLKTGSRPHFSHFSVSMNTGCNLFIASPVGETFPLSPSKDGATWKAFETDDSVEVIH RETKEKRIYKLKFIPLKSGALLKVDVLKGIPFWVISQGRKILPTICSGDEEVLSNPQNEVF KECTSSSSLSPEFDCLAGLSTYHRDKKNHTWKTSSGSIGQFIKIFFNKPVQITKFRFKPRD DLLSWPSEVALQFDTDEEVIIPILHTHNMGQNTTRLEHPIITTSVKVEVRDMYERASENT GGSFEVIGSTCQMMEDDYMTHHAVIDITECDRRLESLPDVMPLTKGSKFLAICPRPCLSS SNGGVIYGSDVYSTDSAVCGAAVHAGVCSREGEGSCHFLVVVRGGRANFVGALQNNV LSLSRGGGGSGSGSSTSSDGDGDSDSSTSRANFSFSLSSASGFGGGPRGAHAEAAPSSYSI VFKPRDHLAPTNGFLVDSGREFTSYGSVAYGWKREVSPSSSFSSPSPSYTSPPLEEPTLLR GDSSSFNGIYSGGIEFPPASASQNCISQLDCQTNFWKFQMQENGTYFVQVLVGNKTSPEK QKAFVELNGVPIIKGVDLGPDEVFNATDRVQVTNRALVLTSTCLGGESACSRARVSIMA VQIVKT X12 (SEQ ID NO: 122) NGMNKDKDAEITPPPFIVLPGGKKIHMLQSEYEYDVLRDMYRTDEANGGSGEKESHPSG DGAIRRNEFFKLFHHREGHYKFVIKNVPTKLSDLLQKGGNEQETDLFPLLYRSLQFACSA DGTWPYARREVAFFKNGSVHCEAEFQNELSVRRTPRSGKKSFGRFPRGTLIKSSDLRSKI VEGNSYDKRAAPLKSEKKKKALFLHPESVLYKMEEIFFYENPSVKSEIVGFVLFHDVCT VTSLGHGAHPVNSPFLGSDLLEMIFGYCILHGFKKIRVKSESLNYETGIRTSFIEILLNGKT ALEHLGLRLTNVAKFSKELYYVITGYTWKSDLVLSPIVRFEHDLYVHHDIEERFFLYVNK MYRNMLHDLSFSCDENYYPYKNCYDIYPSVRRSQNNLCLFELNPIYEELKELFPDSCNIG QRVRKCYEEIKKNVVCTHNGEGGEDGCKYYQFIVNTFIKPRRKTSFFIYHNMYVQEYLS KKSYPYYLLLSEVIKNEENNFLEKGNYDLVADAQTHLFLNYVLQNSTFFIFWNFSTEFW KRFRYIQAGPTGATSTPQKGQAVFCPMAYAYEFVEHLDTFYVRG V6 (SEQ ID NO: 123) SVEEAKKNTQEVVTNVDNAAKSQATNSNPISQPVDSSKAEKVPGDSTHGNVNSG QDSSTTGKAVTGDGQNGNQTPAESDVQRSDIAESVSAKNVDPQKSVSKRSDDTASVTGI AEAGKENLGASNSRPSESTVEANSPGDDTVNSASIPVVSGENPLVTPYNGLRHSKDNSDS DGPAESMANPDSNSKGETGKGQDNDMAKATKDSSNSSDGTSSATGDTTDAVDREINKG VPEDRDKTVGSKDGGGEDNSANKDAATVVGEDRIRENSAGGSTNDRSKNDTEKNGAS TPDSKQSEDATALSKTESLESTESGDRTTNDTTNSLENKNGGKEKDLQKHDFKSNDTPN EEPNSDQTTDAEGHDRDSIKNDKAERRKHMNKDTFTKNTNSHHLN V7 (SEQ ID NO: 124) IRNGNNPQALVPEKGADPSGGQNNRSGENQDTCEIQKMAEEMMEKMMKEKDV FSSIMEPLQSKLTDDHLCSKMKYTNICLHEKDKTPLTFPCTSPQYEQLIHRFTYKKLCNS KVAFSNVLLKSFIDKKNEENTFNTIIQNYKVLSTCIDDDLKDIYNASIELFSDIRTSVTEITE KLWSKNMIEVLKTREQTIAGILCELRNGNNSPLVSNSFSYENFGILKVNYEGLLNQAYAA FSDYYSYFPAFAISMLEKGGLVDRLVAIHESLTNYRTRNILKKINEKSKNEVLNNEEIMH SLSSYKHHAGGTRGAFLQSRDVREVTQGDVSVDEKGDRATTAGGNQSASVAAAAPKD AGPTVAAPNTAATLKTAASPNAAATNTAAPPNMGATSPLSNPLGTSSLQPKDVAVLV RDLLKNTNIIKFENNEPTSQMDDEEIKKLIESSFFDLSDNTMLMRLLIKPQAAILLIIESFIM MTPSPTRDAKTYCKKALVNGQLIETSDLNAATEEDDLINEFSSRYNLFYERLKLEEL V8 (SEQ ID NO: 125) KEYCDQLSFCDVGLTHHFDTYCKNDQYLFVHYTCEDLCKTCGPNSSCYGNKYK HKCLCNSPFESKKNHSICEARGSCDAQVCGKNQICKMVDAKATCTCADKYQNVNGVC LPEDKCDLLCPSNKSCLLENGKKICKCINGLTLQNGECVCSDSSQIEEGHLCVPKNKCKR KEYQQLCTNEKEHCVYDEQTDIVRCDCVDHFKRNERGICIPVDYCKNVTCKENEICKVV NNTPTCECKENLKRNSNNECVFNNMCLVNKGNCPIDSECIYHEKKRHQCLCHKKGLVA INGKCVMQDMCRSDQNKCSENSICVNQVNKEPLCICLFNYVKSRSGDSPEGGQTCVVD NPCLAHNGGCSPNEVCTFKNGKVSCACGENYRPRGKDSPTGQAVKRGEATKRGDAGQ PGQAHSANENACLPKTSEADQTFTFQYNDDAAIILGSCGIIQFVQKSDQVIWKINSNNHF YIFNYDYPSEGQLSAQVVNKQESSILYLKKTHAGKVFYADFELGHQGCSYGNMFLYAH REEA V9 (SEQ ID NO: 126) SKNIIILNDEITTIKSPIHCITDIYFLFRNELYKTCIQHVIKGRTEIHVLVQKKINSAW ETQTTLFKDHNWFELPSVFNFIHNDEIIIVICRYKQRSKREGTICKRWNSVTGTIYQKEDV QIDKEAFANKNLESYQSVPLTVKNKKFLLICGILSYEYKTANKDNFISCVASEDKGRTWG TKILINYEELQKGVPYFYLRPIIFGDEFGFYFYSRISTNNTARGGNYMTCTLDVTNEGKKE YKFKCKHVSLIKPDKSLQNVAKLNGYYITSYVKKDNFNECYLYYTEQNAIVVKPKVQN DDLNGCYGGSFVKLDESKALFIYSTGYGVQNIHTLYYTRYD

(161) List of polynucleotide sequences (insert bp sequence)

(162) TABLE-US-00011 X1 (SEQ ID NO: 127) GAGAACCCCCGTGAGGCACTCGGTGGACATAAAGTCGGAAGACTTCGTCG TCCTGATTTCGCTCCAAAACCTGCAGACCTTCATCATGATAGGGTACACA GCCGTGAACAAAGACCACCTGAATTTCGACTTCTCCTACTTATGGGCCCT CTGCATCGGGACGGGCCTCTTCATATACTCCCTCATCAGCTTTGTACTCA TAAGATCCCTAGCACTGTCAAAAATAGACATAGGCAAATACGTCCTGGAG CTGCTATTCAGTTTGAGTATAATCGCCACATGTTCACTCTCCATAATAAT TGACTCTTTCAAAATAGCCAACATGCAGTTGCTTTTTTTTTCGTTCGCTT TAACGGGCTATGCCTACTACAATTTGATGAGCCTCTTCTTTTTCTGCACA CTGGTAGGAATGACCATTCAGTACAATTTAAGTTTCACTGGGTTCAGAGC GCATTCGACTTCTTTCTTCTTTTTAGATATGCTATCTTACCTAGTGCAAA TGATAGGAGGGAACATCCTCTACTTTCGCATGTACGAGCTGTGTACCCTA ATCGTCATTTCGAAGAGGAACCCCTGCAAGTATGTTGTCGCATCGAAGGA AGTGAAACAAGTGGAGAAGCAAATTTTCTCTTCTTTATTTAATTCTTACA TGTGCATCAAGTCCAAAACTTATTCAGATTTAACCTGCACTAATGATCTG TTAAATAAAGACAGTCAATCTGTTGTCGGTAGGGATACGAACCCTAAGTG GAACTCCCCCATTGGTACTTcCTACCAGGATAAGGTCAATCATACGAAGA AGTTACTCCTTCGGAGGGGAAAACGGGACAAACGCTACCCCAAAGGGGGA GGGGGAGCTCGACTAACATGTGCAAAACATAGTGCCTACCATAATAGCCG AAGTCTTGCCAACTGTGCCAGTAAGAATACCCCCATTTGCACAACTAACT TTAGGATATCTAACACCCTTTCACTTAAAAATCATTTCAACCCTAACCTA ACCTTAGAAGCGTCTCCCCCCGTTTGTAAAAAATGCGTTTCGGAAAAGAA TAGCCATAAGGATAATGAGTACAAAAACGGGGAAGAGAGAAAAAAAGCAA AACGTGGTATCAAGTCGGGCACTGCAAACAAGTCTAACCAGTTGGGCAAC CACGGGGGGGACGCTACGCAGGTGGCTAATCCTACCTACAGAACTACTTC CCACGGGGGGGACGCAACCCAGGTGGCTTATCCTACCTACAGAACTACTT CCCACGGGGGGGACGCAACGCAGGTGGATAGTCCTACCCACCCAACTACC TCCCATGGGGGGAACAACTCGTCGAGCGGGCACCCCCAAGACGACGAAGT GCTCATCCCCATTAGGGGAACCAACGCCACTAACGATGCAGCCGCCACCT ACAACTCGAACGCTAGTTGGATCAAAACCGCTGCGGTTATTGACGTGTCT GTGGAGGGGAAGCAGAAAAAGGGGGGACATCAAACGTTCGCGGGCAATCC CGTAAATTCATCCGCTAATTTCCCATCGGACAAGAAACCTTCCTACAACT CGCACCGCAACGGAGGTACTCCCCCCCCAAATGAACAACTCAGGTACTAC GCCTGCCCCTGCTACCAGACCCACTCCAGCGGATCGTCCCTCAGTGAGGT GCCCTCGGGACAAACGACGAAGCGGAAAAATAGTGCGCACAACTCGGTTG AAGGGGGAAACCCCAAAATGGATAATCAGCAAAGTCGCCGCGTGAGTAAC AAGCGGGTAGATGGCGCAACGGGTGAGGAACATGACCACCCAAGTGACCC CCCCGCAGATAACCCAAATGGAAACTCCAACACCTACCACTGC X2 (SEQ ID NO: 128) GAGCTGAGCCACAGCTTGTCCGTGAAGAACGCGCCGGACGCGAGCGCGCT GAACATCGAGGTGGAGAAGGACAAAAAGAAGATCTGCAAAAACGCATTCC AATACATAAACGTAGCTGAGCTGTTTGTCCCCAAGGGAGGAAGAAACCTA CGTGCAGAAATGTGAAGAGGTCCTAGACACAATAAAGAATGACAGTCCAG ATGAATCGGCAGAAGCAGATAAACGAATTTATACTGAGCTTACTGCACGC TCGTTCTAAGTATACCATAATAAATGACTCAGATGAGGAGGTACTGAGCA AGCTCCTGAGGAGTATCAACGGATCGATAAGTGAAGAGGCAGCGTTGAAG AGAGCCAAACAGCTAATCACATTCAATCGGTTTATAAAAGACAAAGCGAA GGTAAAAAATGTGCAAGAGATGCTAGTAATAAGTAGCAAAGCAGATCACT TCATGAATGAGCCGAAGCAAAAAATGCTCCAAAAAATTATAGATTCGTTT GAACTGTATAATGATTACCTAGTCATTTTAGGGTCAAATATTAACATCGC CAAGAGGTACTCCTCAGAAACGTTTCTTTCTATTAAAAATGAAAAGTTCT GCTCAGACCACATCCACTTATGCCAGAAGTTCTACGAGCAGTCTATCATT TACTACAGATTGAAGGTTATTTTTGATAACCTGGTGACTTATGTAGATCA AAATTCCAAGCATTTTAAAAAGGAAAAGTTGCTGGAGCTTCTAAATATGG ATTATAGGGTCAATCGAGAGTCGAAGGTGCATGAAAATTACGTGCTGGAG GATGAGACGGTCATCCCCACGATGCGCATTACAGACATTTACGATCAAGA TAGGCTAATTGTTGAGGTCGTTCAGGATGGAAATAGCAAGCTGATGCACG GCAGGGATATTGAGAAGAGGGAAATCAGCGAGAGGTACATCGTCACCGTG AAGAACCTGCGCAAGGACCTCAACGACGAGGGGCTCTACGCCGACTTGAT GAAGACCGTCAAGAACTACGTGCTCTCCATCACGCAGATCGACAACGACA TTTCCAACCTCGTGCGCGAGCTCGACCACGAGGATGTGGAGAAG X3 (SEQ ID NO: 129) CTACCATGGACGAAGAAAAGAAAGGCGGTGAACCAAATGGGCATCATAAA AGATATGTCGCAGGAGCTTAGGACTAAGGCCGAACAGCTTCCAACCCCCG AGGATATATCAGCCAAAATTCACAGAGTAGATAAAGAGGTCATCGATAAG TTAAACAAAGACATCATAGAGGAAGAAAATTTAGACAAGCACAAACCGCA CGTCTGCCAGGAGCCAGCATACGAGAGGGACTATTCGTACCTATGTCCCG AAGACTGGGTGAAGAACTCCAACGATCAGTGCTGGGGCATAGACTACGAT GGTCACTGTGAAGCGCTAAAATATTTTCCAAGATTATTCTGTAGAGGAGA AAAAAGAATTTGAAATGAACTGCTGCGTCTTGTGGCCTAAGCTAAAAAAT GAAGGCATGAAAGGAGCGCACAAGAAGGACCTCCTAAGGGGATCGATAAG TTCAAACAATGGGTTAATAATAAAGCCGAAATATTTG X4 (SEQ ID NO: 130) GAATTGAAGAAGAACAATGCCGCGTTGACCTCACAAAGGTCATCTTCTAG AACCACATCCACAAGGAGCTACAAAAATGCCCCAAAAAATTCCACTTCAT TCCTTTCTCGTTTATCTATTCTGATATTTGCCTTATCATGTGCTATTTTT GTAAATACTGCATCAGGGGCGGCAGCTAATAGACCAAACGCGAATGGCTT CTGTGTCACCTACTTTAATAGGATTTGGCGAATTAAGCATCCAAGAATCA GAAGAATTCAAAAGAATGGCTTGGAATAATTGGATGTTGCGATTGGAGTC CGACTGGAAACATTTTAACGATTCTGTTGAAGAAGCCAAAACCAAATGGC TTCATGAAAGAGACTCAGCTTGGTCTGATTGGCTTCGTTCCTTGCAAAGT AAATGGTCTCACTATAGTGAAAAAATGCTTAAAGAACACAAAAGTAATGT TATGGAAAAATCAGCCAACTGGAATGACACGCAATGGGGAAATTGGATAA AAACTGAAGGAAGAAAAATTCTAGAAGCGCAATGGGAAAAATGGATTAAA AAAGGTGATGACCAATTACAAAAGTTAATTTTAGATAAATGGGTTCAATG GAAAAATGATAAGATCCGATCCTGGTTATCCAGTGAATGGAAAACCGAAG AAGATTACTACTGGGCAAATGTAGAGCGCGCTACAACAGCAAAATGGTTG CAAGAAGCAGAGAAAATGCATTGGCTTAAATGGAAAGAAAGAATTAACAG AGAGTCTGAACAATGGGTGAACTGGGTCCAAATGAAAGAAAGCGTTTACA TCAATGTAGAATGGAAAAAATGGCCCAAATGGAAAAATGATAAAAAAATT CTATTTAACAAATGGTCAACTAACCTTGTCTACAAATGGACACTGAAAAA GCAGTGGAACGTTTGGATTAAGGAAGCAAATACTGCACCCCAAGTT X5 (SEQ ID NO: 131) AAGGGTGTCACCTTGAGTTGCGTTTTTTCCCATGCGAGTGAGGAACGTGA GGGTGGCACAGGGACATTTGCTTTGAGCAATGAGCCGATTTATTACGCCC CTAGTGGGGGGCTGGCGCCGTGCGCGCTCATCAGCAGAGGGTTAAGCGGG GATGAGGAGGGTAGCGGCGAGGACGGCGGTGAAGATGGCGACGGAGATGG TGGTGAAGACAGCGCTGAGGACAACGCTGAGGATGGAGACGATGATGGTG GCGAAGATGGCGGCTTGCCCGGGGGACGCTTCCCATACGAAGAAGGAAAA AAGAGTAGCCTTGTGAGCGACGCACCCAGCGACCTCCTGGATGGAGATGC GGATGAACATGCCGCCGAAGATGGGGGAGCGAAGCGAAAGATGAGTAAGA AGGAGGAAGAGGCGGAGGATAACAAAATTGACAAGTTGGTAAATGCGGAA ATGAAAAAGCTCGAGGCAGGGGAAGAGGCGAACAAGGATCCCGACGCAGA ACCAGAAAAAGAGGACCAGGGAAGTGGCCAAGGACAAAGGGCGAAGCTGA GGTGCTCAAACAAGCTAAATTACATACAGGTGACGGCGAATGGCCAAAGG GAGGGCGACCTCTTTGGCGAGAACGACGGGGAGAGCGCCCCAGCTTTCGT GGAGATACCCCACGAGGTTGAGGAGGAAAGCGGCGGTGTGCCCACAAAGC ATGACGAAGCGGGGGAAGCAGCTGCGGCGGAGGAACCACATAACCGCGTC GACCGAGCGGAAAAAGAAAACAACGCGAAGGACTTAAAATTTGTGGAGGG GGAGCGAGAAAGACAAAGGAGCAGCCCCCCCTCGAATGGATATTCCCAAA ACAGCTTTGTCGAACTGAAAGGTGTGCCCGATAAATTGCCCCCTAATTTA CCAACTCGCTTGGTAGCTCCCCAACGCACAGTAATTTGGAGAAACCAGTT TATAAGCACTTACCCTGGTCTATCCTGGCATCCGACTCTGGTTCGAACAC CGGGTCCTGGGCAGACGTCAACAGTAGTACCTACAATGTGAGTCCATTCA GTTTCACCTCAATACGTAGTGGTAACTCTCTGCATCTACTGCCGATGAAT TTCCAAATCCAAAACTCCATCGTGAAAGTAACTGATGAGGAGTATGACAA ATTGAAGCTTAAAAACAGCGTCAAAGTGTATGACAAAAATGCCCTGGTAG ATTATAAGTATGAAATTTTTGAGGTGAAGGAAGGGGAGGAATATAATGAT GGGAATGACCCTTATGAGGAAAGGAATGGGGAAGAAGGGGATGCAGGTGG AGAGGGGGGTTCCGATGGGGAGGGAGATGCAGATTCTAAATCATATCAAA ATAACAAATCGGATGGACGTGGGTTCTTCGATGGGACCTTAGTAACCTAC ACCATTATCATTTTAGCTGGTGTTATAATTCTGCTGCTAAGTTTTGTCAT TTATTACTACGATATAATAAATAAGGTGAAGAGGCGAATGAGTGCCAAGC GGAAGAACAACAAATCTATGGCCATCGCGAATGATACATCCGCGGGGATG TACATGGGCGACACCTACATGGAGAATCCCCACGTT X6 (SEQ ID NO: 132) TCACAAGGATGTTCAGGATACCGTTTACCACCACCAAAAAGATGGTTTAC CTTCACTTCTCGACCATACTGTAAAACAGCTGCATATTATGAACTTAAAC ATATGCCATATTATGTAGATGCAGTTAGTGCATCAGAAAACGTAAAACAT GAGAAATGGAATAACTGGTTAAAAGAAATGAAAATATCATTAACTGAAAA ATTAGAAAAAGAATCACAAGAATATATGGAAAAATTGGAACAGCAATGGG ATGAATTMTGAAAAATTCAGAAGATAAATGGAGGCTATTATAATCCCCAA ATGGAAGAAGAATATCAATGTAGTGTTTATCCACTTGGATTAAAATGGGA TGATGAAAAGTGGACTGCATGGTTTTATGAAAAAGGATTATGGTGTTTGA AGAAAACTCTTTAAAACATGGCTCACTGATTCTAAAAAAGGTTACAACAC CTACATGAAAAATCTTTTACAGGAATTTGGTAAACAATTTTATGAAGATT GGTGTCGTAGACCTGAAAAACGTCGTGAAGATAAAATTTGCAAGAGATGG GGACAAAAAGGATTACGTAATGACAATTACTATTCGTTAAAGTGGATGCA GTGGAGAAATTGGAAAAACAGAAACCACGATCAAAAACATGTGTGGGTAA CTCTTATGAAGGATGCGCTAAAGGAATATACGGGGCCCGAATTCAAATTA TGGACTGAGTTTAGAAAAGAAAAGATAGACTTTTACAAGCAATGGATGCA AGCTTTCGCCGAACAGTGGACACAAGACAAACAATGGAATACGTGGACTG AAGAAAGAAATGAATATATGAAAAAGAAAAAAGAAGAAGAAGCAAAAAAA AAAGCAGCATCAAAAAAAAAAGCAGCATCAAAAAAAGGAGGAGCAGCAAA AAAGGCACCAGCAAAAAAGGCACCAACAAAAAAAGCCGCACCAGGAACAA AGGCACCAGCAAAAAAAGCAGCACCTAAAAAAGTTGCAGCACCAAATGCA GCA X7 (SEQ ID NO: 133) AAGGAGGCAGTGAAGAAGGGGTCCAAGAAGGCAATGAAGCAGCCCATGCA CAAGCCGAACCTTCTTGAAGAGGAAGACTTTGAGGAGAAAGAATCCTTTT CGGATGACGAGATGAATGGGTTCATGGAGGAGAGCATGGATGCTTCTAAG TTGGATGCGAAGAAGGCCAAGACGACCCTCAGGAGCTCGGAGAAGAAGAA GACTCCAACGAGCGGAATGAGTGGAATGAGTGGAAGCGGCGCCACCAGCG CAGCCACCGAGGCAGCCACGAACATGAACGCCACCGCCATGAACGCCGCT GCTAAGGGCAACAGCGAGGCGAGCAAAAAGCAAACCGACTTGTCCAACGA AGACCTGTTCAACGACGAGCTCACAGAAGAGGTCATTGCAGATTCGTACG AAGAGGGAGGAAACGTGGGAAGCGAGGAAGCCGAAAGCCTCACAAATGCA TTTGACGACAAGCTACTAGACCAAGGAGTGAATGAAAATACTCTGCTGAA CGACAACATGATTTACAACGTCAATATGGTTCCACATAAGAAGCGAGAAT TATACATCTCCCCACACAAGCATACCTCTGCAGCAAGCAGTAAAAATGGC AAACATCATGCGGCGGACGCGGACGCTTTGGACAAAAAACTGAGGGCTCA CGAGCTGCTCGAGCTGGAAAACGGAGAAGGCAGCAACTCAGTCATTGTCG AAACGGAAGAAGTGGATGTTGACCTAAACGGAGGAAAGTCAAGCGGCTCC GTGTCCTTCCTCAGCTCCGTAGTCTTCTTGCTCATCGGATTGTTATGTTT CACCAAT X8 (SEQ ID NO: 134) AACCTGAGCAACGATTGCAAAAAAGGAGCCAACAACAGCTTTAAGTTAAT CGTGCACACCAGCGATGATATTTTGACACTCAAGTGGAAGGTCACTGGGG AAGGGGCAGCTCCAGGCAACAAAGCAGATGTAAAGAAGTACAAACTCCCT ACCCTAGAGAGGCCTTTCACTTCCGTGCAAGTGCATTCAGCCAACGCCAA GTCGAAGATAATCGAAAGCAAATTTTACGACATTGGCAGCGGCATGCCAG CCCAGTGCAGCGCGATCGCCACGAACTGCTTCCTCAGCGGCAGCCTCGAA ATCGAGCACTGCTACCACTGCACCCTGTTGGAGAAGAAGCTGGCCCAAGA CAGCGAGTGCTTCAAGTACGTCTCGAGTGAAGCGAAGGAGTTGATCGAGA AAGACACGCCGATTAAAGCTCAAGAAGAAGACGCCAACTCTGCAGACCAC AAACTGATCGAGTCCATAGACGTGATACTAAAGGCAGTGTACAAATCAGA TAAAGATGAGGAAAAGAAGGAGCTCATCACCCCGGAGGAAGTGGACGAAA ATTTGAAGAAAGAGCTAGCCAATTATTGTACCCTACTGAAGGAGGTAGAC ACAAGTGGCACTCTTAACAACCACCAGATGGCAAACGAAGAGGAAACGTT CAGAAATTTGACTCGACTGTTGCGAATGCATAGCGAAGAAAACGTGGTGA CCCTTCAGGACAAACTGAGAAACGCAGCCATATGCATCAAGCACATCGAC AAGTGGATTCTTAACAAGAGGGGGTTGACCCTACCGGAAGAAGGGTACCC ATCGGAAGGGTACCCCCCAGAAGAGTACCCCCCGGAGGAACTCCTCAAAG AAATCGAGAAGGAAAAAAGCGCTCTGAATGATGAAGCGTTCGCTAAAGAT ACCAACGGAGTCATCCACCTGGATAAGCCTCCCAACGAAATGAAATTTAA ATCCCCCTATTTTAAAAAGAGCAAATACTGTAACAATGAGTACTGTGATA GGTGGAAAGATAAAACGAGTTGCATGTCAAATATAGAAGTGGAAGAGCAA GGGGATTGCGGGCTCTGTTGGATTTTCGCCTCTAAGTTACACTTAGAAAC GATCAGGTGCATGAGAGGGTATGGCCACTTCCGCAGCTCCGCTCTGTTTG TGGCCAACTGCTCGAAGAGGAAGCCAGAAGATAGATGCAACGTGGGTTCT AACCCTACAGAGTTTCTTCAAATTGTTAAGGACACGGGATTTTTACCTCT AGAGTCCGATCTCCCCTACAGCTATAGCGACGCGGGGAACTCCTGCCCCA ATAAAAGAAACAAGTGGACCAACCTGTGGGGGGATACCAAACTGCTGTAT CATAAGAGACCCAATCAGTTTGCACAAACACTCGGGTACGTTTCCTACGA AAGCAGTCGCTTTGAGCACAGCATCGACCTCTTCATAGACATCCTCAAAA GGGAAATTCAAAACAAAGGCTCCGTTATCATTTACATAAAAACCAACAAT GTCATCGATTATGACTTTAATGGAAGAGTCGTCCACAGCCTATGTGGCCA TAAGGATGCAGATCATGCCGCTAACCTGATCGGTTATGGTAACTACATCA GTGCTGGTGGGGAGAAGAGGTCCTATTGGATTGTGCGAAACAGCTGGGGG TACTACTGGGGAGATGAAGGCAACTTTAAGGTTGACATGTACGGCCCGGA GGGATGCAAACGGAACTTCATCCACACGGCTGTTGTGTTTAAGATAGACC TGGGCATCGTCGAAGTCCCGAAGAAGGACGAGGGGTCCATTTATAGCTAC TTCGTTCAGTACGTCCCCAACTTTTTGCACAGCCTTTTCTACGTGAGTTA CGGTAAGGGTGCTGATAAGGGAGCGGCGGTGGTGACAGGGCAGGCGGGAG GAGCGGTAGTCACAGGACAGACTGAAACGCCCACTCCGGAGGCCGCTAAA AATGGGGATCAGCCAGGAGCACAGGGTAGCGAGGCAGAAGTCGCGGAGGG TGGCCAGGCAGGAAATGAAGCCCCGGGAGGGTTGCAAGAGAGTGCTGTTT CGTCGCAAACGAGTGAGGTTACGCCGCAATCTAGTATAACTGCTCCGCAA ATCGGTGCAGTTGCCCCACAAATCGGTGCAGCTGCCCCACAAATCGATGT AGCCGCCCCACAAATCGATGTAGTCGCCCCACAAACGAGGTCCGTTGACG CCCCCCAAACGAGCTCGGTTGCCGCCCACCCCCCAAACGTGACGCCGCAG AACGTGACGCTTGGGGAGGGCCAGCACGCGGGGGGTGTAGGCTCCCTCAT CCCCGCGGACAAC X9 (SEQ ID NO: 135) GAAACCCTGCTAGACAGCGAAACGTTAAAGAACTACGAAAAGGAAACGAA CGAATACATTCGCAAAAAAAAAGTGGAGAAACTGTTCGATGTTATTTTAA AAAATGTTCTGGTAAACAAACCGGAAAATGTATACCTGTACATATACAAG AACATTTATTCCTTCCTTTTGAACAAAATTTTTGTGATCGGCCCTCCTTT GCTGAAAATTACTCCCACCTTATGTTCTGCGATTGCCAGCTGCTTTAGCT ACTACCACCTCAGCGCCTCGCACATGATCGAGTCTTACACTACTGGTGAA GTAGATGACGCTGCAGAGAGTTCCACAAGCAAAAAGTTAGTCAGTGACGA CTTAATCTGCTCCATCGTTAAAAGCAACATAAACCAGCTGAACGCGAAGC AAAAGCGGGGGTATGTAGTCGAAGGGTTCCCCGGCACCAATCTTCAGGCA GACAGTTGCCTACGGCATTTGCCATCTTACGTTTTTGTCCTGTACGCCGA CGAAGAGTACATTTATGACAAGTACGAACAAGAGAACAACGTAAAAATTC GTTCAGACATGAACAGCCAAACTTTTGATGAAAACACACAGTTGTTCGAA GTGGCCGAGTTCAACACGAATCCGCTGAAGGATGAGGTAAAGGTCTACTT AAGGAAC X10 (SEQ ID NO: 136) TATCCAAAAAAGAACTCGACAAACCCGACCCAACTTCCCCATACCAAGGA CAATATGGAGAGTCTGAGGAACAAAGACAAGGTTATGGAATCCCCCCCAA CCCAACCATGATTAACCTTACTGGTAACCAAGACCAACGACCAAATGTAT TGCAACAATTTGGAATAAACAACAAAAATGTAATGCAGTTTTTAATAAAC ATGTTTGTGTACGTTGCTGCTATATTAGTTAGTTTAAAAATATGGGACTA CATGTCTTACAGCAAATGTGATTATTACAAAGATTTATTATTAAGAATTG TAAGATACCAATCACACATGAATGATGGTAAGATGGCC X11 (SEQ ID NO: 137) AGCCGCATCGACAAGCAGCCCATCCAGAGCAGCTACCTCTTCCAGGATAA CGCAGTCCCGCCTGTTCGATTCTCCGCAGTAGATGCAGACCTGTTTTCCA TTGGAGTAGTTCACACAGAGGAGCAAATATTTATGGACGACGCCAACTGG GTGATTAGCAGCGTGCCCAGTAAGTACCTGAACTTGCATCTACTCAAAAC GGGTTCTAGACCCCATTTTTCGCACTTCTCCGTATCTATGAACACGGGTT GCAACCTATTCCATCGCTTCCACCGGTGGGGGAAACCTTCCCCTTGAGTC CCTCCAAAGATGGAGCGACGTGGAAAGCATTTGAAACGGACGACAGTGTA GAGGTGATTCACAGAGAGACGAAGGAAAAGAGAATCTATAAGCTCAAGTT CATTCCTCTGAAGAGTGGGGCTCTCCTAAAGGTTGACGTTTTGAAGGGAA TTCCCTTTTGGGTTATCTCACAAGGGAGGAAAATCCTACCAACGATTTGT TCTGGAGATGAGGAGGTGCTATCAAACCCACAGAATGAGGTCTTCAAAGA GTGCACATCGTCGAGTAGTCTCTCTCCCGAATTTGATTGTCTAGCCGGGC TGAGCACCTACCATAGGGATAAGAAGAACCACACGTGGAAAACCTTCTAG CGGATCTATAGGTCAGTTTATAAAGATCTTCTTCAATAAGCCCGTACAAA TTACCAAGTTTAGGTTTAAGCCCAGAGACGACCTGCTGTCTTGGCCCTCC GAAGTAGCTCTCCAATTCGATACCGATGAGGAGGTGATCATACCAATTCT GCATACGCACAATATGGGGCAGAACACGACTAGGCTAGAACACCCAATCA TCACCACCTCTGTTAAGGTAGAAGTGAGAGACATGTACGAACGGGCAAGT GAAAATACAGGAGGTTCTTTCGAGGTAATTGGAAGCACATGCCAGATGAT GGAAGACGACTACATGACGCACCATGCTGTTATAGACATCACCGAGTGTG ATCGTAGGTTGGAGTCCCTCCCAGATGTTATGCCCTTAACGAAGGGGAGC AAATTTCTGGCCATTTGTCCCCGCCCCTGCTTGAGCAGCTCCAATGGGGG AGTCATTTACGGGTCAGATGTTTATTCCACAGATTCTGCCGTATGTGGGG CGGCCGTACACGCGGGGGTGTGCAGCCGTGAGGGGGAGGGCAGCTGCCAC TTCCTCGTTGTGGTGCGCGGCGGGCGGGCCAACTTCGTGGGGGCTCTCCA GAACAACGTCCTGTCTCTCAGTCGGGGTGGTGGCGGTAGCGGTAGCGGTA GCTCCACCAGTAGCGATGGCGATGGCGATAGCGATAGCTCCACCAGTAGG GCCAACTTCTCATTTTCCCTCTCCAGTGCGTCAGGGTTCGGGGGGGGTCC GCGCGGGGCCCACGCAGAAGCCGCGCCAAGCAGCTACTCCATTGTGTTCA AGCCGAGGGACCATTTGGCTCCAACGAACGGCTTTCTAGTAGACTCAGGG AGAGAGTTCACCAGCTACGGAAGCGTTGCCTACGGATGGAAGAGGGAGGT TTCTCCTTCGTCCTTCTTTTTCCTCTCCTTCTCCTAGCTACACTTCCCCC CCGTTGGAAGAACCGACGCTGCTTAGGGGGGACTCCTCCTCATTCAATGG GATTTACTCCGGGGGGATAGAATTCCCCCCCGCCTCGGCTAGCCAAAATT GCATTTCCCAACTGGATTGCCAGACCAACyrCTGGAAGTTTCAGATGCAA GAAAATGGCACCTACTTTGTGCAGGTGCTAGTGGGGAATAAAACTTCCCC TGAGAAGCAGAAGGCCTTCGTCGAGCTGAATGGCGTTCCCATCATAAAGG GGGTGGACCTTGGCCCAGACGAGGTCTTCGTCGCCACTGACCGCGTGCAG GTGACGAACCGGGCCCTCGTCCTCACGTCCACTTGCCTGGGCGGCGAGAG TGCCTGCTCGCGGGCGCGCGTCAGCATCATGGCGGTCCAGATTGTGAAGA CG X12 (SEQ ID NO: 138) AACGGTATGAATAAAGACAAAGACGCAGAGATTACTCCCCCTCCGTTCAT CGTCTTGCCGGGTGGAAAAAAAATCCACATGCTGCAAAGCGAATACGAGT ATGACGTTCTGCGGGATATGTACCGAACGGATGAGGCGAATGGGGGAAGT GGTGAGAAGGAGAGTCACCCCTCTGGGGATGGTGCAATCAGAAGAAACGA ATTTTTTAAACTTTTTTCACCACAGGGAGGGTCATTATAAGTTTGTTATC AAAAATGTTCCCACCAAATTGAGCGACCTTTTGCAGAAAGGTGGCAACGA ACAGGAGACAGACCTAVTTCCTCTTTTATACAGGAGTCTGCAATTCGCAT GCAGCGCAGACGGGACGTGGCCATATGCCAGAAGAGAGGTGGCCTTTTTT AAAAACGGGAGCGTCCACTGCGAAGCGGAATTTCAAAACGAGTTATCAGT GAGGAGAACCCCCCGAAGTGGGAAGAAATCATTTGGACGTTTTCCAAGGG GGACACTAATAAAAAGTAGCGACCTGAGGAGCAAAATTGTGGAGGGGAAT TCTTATGATAAAAGGGCCGCACCCCTGAAGAGTGAAAAAAAAAAGAAGGC TCTCTTTTTACACCCAGAAAGTGTGCTATACAAAATGGAAGAAATATTTT TTTATGAAAATCCAAGTGTCAAAAGTGAAATTGTCGCATTTTGTTCTTTT TCATGATGTTGTCTCACAGTAACGTCCTTAGGACATGGAGCACATCCCGT TAACTCCCCCTTTTTGGGAAGCGACCTGCTGGAGATGATATTTGGCTACT GCATTTTACACGGGTTTAAAAAAATCAGAGTGAAAAGCGAATCCTTAAAT TACGAAACTGGGATAAGGACCTCATTCATTGAGATTTTACTCAACGGAAA AACAGCACTTGAACATTTAGGGTTAAGACTTACAAACGTAGCGAAGTTTT CTAAAGAACTGTATTATGTAATCACTGGGTATACGTGGAAAAGTGATTTG GTGCTATCACCCATAGTAAGGTTTGAACATGATTTATACGTGCATCACGA CATAGAGGAGCGATTTTTCCTTTACGTGAATAAAATGTATAGGAATATGC TCCACGATTTC1TCCTTCTCTTGTGATGAAAATTATTATCCTTATAAAAA TTGTTATGACATCTACCCCTCCGTGAGAAGGAGTCAAAATAATCTTTGTC TCTTCGAACTGAATCCCATATATGAAGAATTGAAGGAGCTCTTTCCAGAC TCTTGTAATATTGGCCAACGCGTTAGAAAATGCTATGAGGAGATAAAAAA AAACGTTGTCTGCACACATAACGGTGAAGGAGGAGAAGACGGATGTAAGT ACTACCAATTTATTGTAAATACATTCATAAAGCCGAGGAGGAAAACGTCG TTTTTTTVTTTTVTCACAATATGTATGTACAGGAATATCTTTCAAAGAAA TCCTACCCCTATTACTTGCTACTCAGTGAGGTTATAAAAAATGAAGAAAA TAACTTTCTCGAAAAAGGCAACTACGACTTAGTGGCCGATGCACAGACGC ACCTCTTCTTAAATTACGTTTTGCAAAATTCTACCTTTTTTATCTTTTGG AATTTCTCTACCGAATELTGGAAAAGGTTTCGGTACATCCAGGCTGGCCC AACCGGGGCCACTTCCACACCGCAGAAGGGGCAAGCTGTGTTTTGCCCCA TGGCCTATGCGTACGAATTTGTGGAGCACCTCGACACGTTTTATGTGAGG GGG V6 (SEQ ID NO: 139) TCCGTTGAAGAGGCTAAAAAAAATACTCAGGAAGTTGTGACAAATGTGGA CAATGCTGCTCTAAATCTTCAGGCCACCAATTCAAATCCGATAAGTCACT CCTGTAGATAGTAGTAAAGCGGAGAAGGTTCCAGGAGATTCTACGCATGG AAATGTTAACAGTGGCCAAGATAGTTCTACCACAGGTAAAGCTGTTACGG GGGATGGTCAAAATGGAAATCAGACACCTGCAGAAAGCGATGTACAGCGA AGTGATATTGCCGAAAGTGTAAGTGCTAAAAATGTTGATCCGCAGAAATC TGTAAGTAAAAGAAGTGACGACACTGCAAGCGTTACAGGTATTGCCGAAG CTGGAAAGGAAAACTTAGGCGCATCAAATAGTCGACCTTCTGAGTCCACC GTTGAAGCAAATAGCCCAGGTGATGATACTGTGAACAGTGCATCTATACC TGTAGTGAGTGGTGAAAACCCATTGGTAACCCCCTATAATGGTTTGAGGC ATTCGAAAGACAATAGTGATAGCGATGGACCTGCGGAATCAATGGCGAAT CCTGATTCAAATAGTAAAGGTGAGACGGGAAAGGGGCAAGATAATGATAT GGCGAAGGCTACTAAAGATAGTAMAATAGTTCAGATGGTACCAGCTCTGC TACGGGTGATACTACTGATGCAGTTGATAGGGAAATTAATAAAGGTGTTC CTGAGGATAGGGATAAAACTGTAGGAAGTAAAGATGGAGGGGGGGAAGAT AACTCTGCAAATAAGGATGCAGCGACTGTAGTTGGTGAGGATAGAATTCG TGAGAACAGCGCTGGTGGTAGCACTAATGATAGATCAAAAAATGACACGG AAAAGAACGGGGCCTCTACCCCTGACAGTAAACAAAGTGAGGATGCAACT GCGCTAAGTAAAACCGAAAGTTTAGAATCAACAGAAAGTGGAGATAGAAC TACTAATGATACAACTAACAGTTTAGAAAATAAAAATGGAGGAAAAGAAA AGGATTTACAAAAGCATGATTTTAAAAGTAATGATACGCCGAATGAAGAA CCAAATTCTGATCAAACTACAGATGCAGAAGGACATGACAGGGATAGCAT CAAAAATGATAAAGCAGAAAGGAGAAAGCATATGAATAAAGATACTTTTA CGAAAAATACAAATAGTCACCATTTAAAT V7 (SEQ ID NO: 140) ATACGGAATGGAAACAACCCGCAGGCATTAGTTCCTGAAAAGGGCGCTGA CCCGAGTGGGGGCCAGAACAACCGCTCCGGAGAAAACCAAGACACGTGCG AAATTCAAAAGATGGCCGAAGAAATGATGGAAAAAATGATGAAGGAAAAA GACGTGTTTAGCTCCATCATGGAACCTCTCCAGAGCAAATTAACTGACGA TCATCTGTGTTCAAAAATGAAATATACGAACATTTGTCTTCACGAAAAGG ACAAAACTCCCTTGACCTTCCCCTGCACAAGTCCGCAGTACGAACAGCTA ATTCATCGCTTCACTTATAAAAAGTTGTGCAACTCCAAGGTGGCCTTTAG CAACGTCTTGCTCAAATCCTTCATCGATAAAAAAAATGAAGAAAACACAT TTAACACGATCATACAGAATTACAAAGTTCTGTCCACTTGCATTGACGAT GATTTGAAGGACATTTATAATGCATCCATAGAGTTATTCTCCGACATAAG AACCTCCCTTCACAGAAATTACCGAAAAGTTGTGGTCCAAAAATATGATC GAAGTTTTAAAGACAAGAGAGCAAACATTGCAGGCATTTTATGTGAGTTA AGAAATGGAAATAATTCTCCCCTAGTATCGAACAGTTTTTCCTATGAAAA TTTTGGAATTCTCAAGGTTAATTATGAGGGATTACTAAACCAGGCGTATG CGGCCTTTTCAGACTACTATTCATACTTTCCCGCTTTTGCCATTAGCATG TTAGAAAAGGGAGGGTTGGTCGACCGCTTGGTCGCCATCCATGAGAGCTT GACCAACTACAGGACGAGAAATATTCTCAAGAAGATCAATGAGAAGTCCA AAAATGAGGTCCTCAATAATGAAGAAATTATGCACAGCTTGAGCAGTTAC AAGCACCATGCCGGGGGCACGCGTGGCGCCTTCCTGCAGTCCAGAGATGT GCGCGAAGTTACGCAAGGAGATGTGAGCGTTGATGAGAAGGGCGACCGGG CCACCACCGCGGGGGGCAACCAAAGCGCAAGCGTGGCTGCGGCGGCCCCG AAGGATGCGGGCCCAACCGTGGCTGCTCCTAACACTGCTGCTACGCTCAA AACGGCTGCTTCCCCCAACGCGGCTGCTACTAACACTGCTGCTCCCCCCA ACATGGGTGCCACCTCCCCGCTGAGCAACCCCCTGTACGGCACCAGCTCC CTGCAGCCAAAGGACGTCGCGGTGCTGGTCAGAGATCTGCTCAAGAACAC GAACATCATCAAGTTCGAGAATAACGAACCGACTAGCCAAATGGACGATG AAGAAATTAAGAAGCTCATTGAGAGCTCCTTTTTCGACTTGAGCGACAAC ACCATGTTAATGCGGTTGCTCATAAAGCCGCAGGCGGCCATCTTACTAAT CATTGAGTCCTTCATTATGATGACGCCCTCCCCCACGAGGGACGCCAAGA CCTATTGCAAGAAAGCCCTAGTTAATGGCCAGCTAATCGAAACCTCAGAT TTAAACGCGGCGACGGAGGAAGACGACCTCATAAACGAGTTTTCCAGCAG GTACAATTTATTCTACGAGAGGCTCAAGCTGGAGGAGTTG V8 (SEQ ID NO: 141) AAGGAGTACTGCGACCAGCTTAGCTTTTGCGATGTGGaTTGACACACCAC TVTGATACGTAVTGTAAGAATGACCAGTACCTGTTCGTTCACTACACTTG TGAGGACCTCTGCAAAACGTGTGGCCCTAATTCGTCCTGCTACGGAAACA AGTACAAACATAAGTGCCTGTGCAATAGCCCCTTCGAGAGTAAAAAGAAC CATTCCATTTGCGAAGCACGAGGTAGCTGCGATGCACAGGTATGCGGCAA GAATCAAATTTGCAAAATGGTAGACGCTAAAGCAACATGCACATGTGCAG ATAAATACCAAAATGTGAATGGGGTGTGTCTACCGGAAGATAAGTGCGAC CTTCTGTGCCCCTCAAACAAATCGTGCCTGCTGGAAAATGGGAAAAAAAT ATGCAAGTGCATTAATGGGTTGACTCTACAGAACGGCGAGTGCGTCTGCT CGGATAGCAGCCAAATTGAAGAAGGACACCTCTGTGTCGCCCAAGAATAA ATGTAAACGGAAGGAGTACCAACAGCTCTGCACCAATGAGAAGGAACACT GTGTGTATGATGAGCAGACGGACATTGTGCGGTGCGACTGCGTGGACCAC TTCAAGCGGAACGAACGGGGAATTTGCATCCCAGTCGACTACTGCAAAAA TGTCACCTGCAAGGAAAATGAGATTTGCAAAGTTGTTAATAATACACCCA CATGTGAGTGTAAAGAAAATTTAAAAAGAAATACTTAACAATGAATGTGT ATTCAATAACATCTGTGTCTTGTTAATAAAGGGAACTGCCCCATTGATTC GGAGTGCATTTATCACGAGAAAAAAAGGCATCAGTGTTTGTGCCATAAGA AGGGCCTCGTCGCCATTAATGGCAAGTGCGTCATGCAGGACATGTGCAGG AGCGATCAGAACAAATGCTCCGAAAATTCCATTTGTGTAAATCAAGTGAA TAAAGAACCGCTGTGCATATGTTTGTTTAATTATGTGAAGAGTCGGTCGG GCGACTCGCCCGAGGGTGGACAGACGTGCGTGGTGGACAATCCCTGCCTC GCGCACAACGGGGGCTGCTCGCCAAACGAGGTTTGCACGTTCAAAAATGG AAAGGTAAGTTGCGCCTGCGGGGAGAACTACCGCCCCAGGGGGAAGGACA GCCCAACGGGACAAGCGGTCAAACGGGGGGAAGCGACCAAACGGGGTGAC GCGGGTCAGCCCGGGCAGGCGCACTCAGCAAATGAGAACGCGTGCCTGCC CAAGACGTCCGAGGCGGACCAAACCTTCACCTTCCAGTACAACGACGACG CGGCCATCATTCTCGGGTCCTGCGGAATTATACAGTTTGTGCAAAAGAGC GATCAGGTCATTTGGAAAATTAACAGCAACAATCACTTTTACATTTTTAA TTATGACTATCCATCTGAGGGTCAGCTGTCGGCACAAGTCGTGAACAAGC AGGAGAGCAGCATTTTGTACTTAAAGAAAACCCACGCGGGGAAAGTCTTT TACGCCGACTTTGAGTTGGGTCATCAGGGATGCTCCTACGGAAACATGTT TCTCTACGCCCACCGGGAGGAGGCT V9 (SEQ ID NO: 142) AGCAAAAACATTATTATTCTGAACGATGAAATTACCACCATTAAAAGCCC GATTCATTGCATTACCGATATTTATTTTCTGTTTCGCAACGAACTGTATA AAACCTGCATTCAGCATGTGATTAAAGGCCGCACCGAAATTCATGTGCTG GTGCAGAAAAAAATTAACAGCGCGTGGGAAACCCAGACCACCCTGTTTAA AGATCATATGTGGTTTGAACTGCCGAGCGTGTTTAACTTTATTCATAACG ATGAAATTATTATTGTGATTTGCCGCTATAAACAGCGCAGCAAACGCGAA GGCACCATTTGCAAACGCTGGAACAGCGTGACCGGCACCATTTATCAGAA AGAAGATGTGCAGATTGATAAAGAAGCCTTTTGCGAACAAAAACCTGGAA AGCTATCAGAGCGTGCCGCTGACCGTGAAAAACAAAAAATTTCTGCTGAT TTGCGGCATTCTGAGCTATGAATATAAAACCGCGAACAAAGATAACTTTA TTAGCTGCGTGGCGAGCGAAGATAAAGGCCGCACCTGGGGCACCAAAATT CTGATTAACTATGAAGAACTGCAGAAAGGCGTGCCGTATTTTTATCTGCG CCCGATTATTTTTGGCGATGAATTTGGCTTTTATTTTTATAGCCGCATTA GCACCAACAACACCGCGCGCGGCGGCAACTATATGACCTGCACCCTGGAT GTGACCAACGAAGGCAAAAAAGAATATAAATTTAAATGCAAACATTTGAG CCTGATTAAACCGGATAAAAGCCTGCAGAACGTGGCGAAACTGAACGGCT ATTATATTACCAGCTATGTGAAAAAAGATAACTTTAACGAATGCTATCTG TATTATACCGAACAGAACGCGArrGTGGTGAAACCGAAAGTGCAGAACGA TGATCTGAACGGCTGCTATGGCGGCAGCTTTGTGAAACTGGATGAAAGCA AAGCGCTGTTTATTTATAGCACCGGCTATGGCGTGCAGAACATTCATACC CTGTATTATACCCGCTATGAT

(163) TABLE-US-00012 TABLE 6 references associated with proteins Protein 5′ position amino acid Code to 3′ (bp) position reference X1  (4-1845) Lu J Proteomics 2014 X2 (67-1161) Lu J Proteomics 2014 X3 (70-555)  Lu J Proteomics 2014 X4 (4-948) Lu J Proteomics 2014 X5 (73-1659) Lu J Proteomics 2014 X6 (73-1074) Lu J Proteomics 2014 X7 (1384-2190)  Lu J Proteomics 2014 X8 (559-2871)  Lu J Proteomics 2014 X9 (4-660) Lu J Proteomics 2014 X10 (4-342) Lu J Proteomics 2014 X11 (1264-3261)  Lu J Proteomics 2014 X12 (1957-3702)  Lu J Proteomics 2014 V1 140 to 1275 Hietanen 2015 Infection and Immunity PMID: 26712206 V2 160 to 1135 Hietanen 2015 Infection and Immunity PMID: 26712206 V3 161 to 1454 Hietanen 2015 Infection and Immunity PMID: 26712206 V4 501 to 1300 Hietanen 2015 Infection and Immunity PMID: 26712206 V12 160 to 1170 Hietanen 2015 Infection and Immunity PMID: 26712206 V5 161-641 Franca 2017 Elife PMID: 28949293 V11 Region II Franca 2017 Elife PMID: 28949293 V10 Region II V13 Region II V6 (1522-2697)  V7 (29-551)  V8 (552-1075)  V9 (30-366) 

(164) TABLE-US-00013 APPENDIX IIIA Area Under Curve (1 antigen) Top 1% of 2 antigen combis Top 1% of 3 antigen combis Top 1% of 4 antigen combis (<9m GMT)/(12m GMT) (<9m GMT)/(-ve control GMT) Thailand Brazil Solomons Thailand Brazil Solomons Thailand Brazil Solomons Thailand Brazil Solomons Thailand Brazil Solomons Thailand Brazil Solomons RBP2a 0.849 0.818 0.868 100 100 100 95.3 96.2 100 89.7 98.5 100 10.85 8.53 11.84 31.33 26.31 13.91 L01 0.812 0.787 0.697 5.9 5.9 0 21.1 13.5 2.3 43.5 23.9 4.3 7.41 4.49 4.09 10.73 17.26 2.1 L31 0.805 0.762 0.766 0 0 0 2.6 2.6 2.3 5 2.7 3.7 3.9 3.05 2.56 8.62 12.32 5.1 X087885 0.807 0.748 0.697 5.9 0 0 16.7 4.7 7 20.3 9.2 14.6 4.28 1.79 1.2 9.82 34.44 15.93 PvEBP 0.747 0.739 0.707 0 0 0 1.8 1.8 1.8 5 2.4 3.1 6.53 5.18 2.01 21.12 8.91 2.61 L55 0.79 0.781 0.643 5.9 5.9 0 14.6 12.3 1.5 17.2 20.9 2.6 4.94 4.42 1.95 7.9 7.91 1.19 PvRipr 0.754 0.772 0.646 0 0 5.9 1.8 5.6 2 3 9.1 3.1 5.01 4.32 2.57 7.02 7.89 1.07 L54 0.79 0.727 0.654 5.9 0 0 3.5 2.6 1.8 5.6 4.4 3.1 4.4 2.98 1.88 5.39 3.82 1.3 L07 0.747 0.765 0.599 0 0 0 2.3 4.7 1.8 3.1 5.3 2.5 2.56 3.11 1.45 4.3 6.29 1.35 L30 0.732 0.61 0.609 0 0 0 1.2 2.3 2.9 2.3 3.8 5.4 4.14 1.53 1.55 13.36 2.24 1.79 PVDBPII 0.74 0.773 0.639 0 0 5.9 0.6 3.2 3.2 1.7 2.6 4 2.76 4.89 1.79 5.14 15.42 1.34 L34 0.767 0.746 0.67 0 0 0 3.8 7.3 0.6 4.5 16.6 2.2 3.22 2.99 1.84 3.87 4.78 1.46 X092995 0.792 0.703 0.642 5.9 0 0 13.7 1.5 2 11.5 1.9 5.6 2.88 1.41 1.03 4.64 8.55 4.19 L12 0.755 0.731 0.637 5.9 0 0 3.2 3.8 1.8 3.5 6.1 2.9 3.19 2.73 1.46 3.81 3.47 1.8 rBP1b 0.533 0.578 0.525 5.9 5.9 0 17.5 4.1 1.2 24.1 4.7 2.5 1.23 1.44 1.11 0.67 0.79 0.84 L23 0.759 0.753 0.658 0 0 0 1.5 7 1.2 4 14.8 2.9 2.95 2.67 1.86 4.3 5.09 1.59 L02 0.746 0.724 0.677 0 0 0 1.5 2.3 2.3 2.7 3.7 3.9 3.7 3 1.76 3.89 4.07 1.82 L32 0.705 0.651 0.493 0 0 5.9 1.8 1.2 17 3.7 1.9 30.2 2.79 3.17 1.61 2.24 0.81 0.31 L28 0.759 0.755 0.667 5.9 0 0 2.6 1.2 1.2 3.8 2.5 2.6 2.92 2.44 1.43 5.74 5.24 2.14 L19 0.758 0.67 0.654 0 0 0 1.5 0.9 3.2 2.6 2.3 6.5 3.66 2.18 1.09 6.58 3.11 4.89 L36 0.727 0.698 0.682 0 0 0 1.5 0.9 2 3.2 1.8 2.8 2.95 2.44 1.99 3.28 3.2 1.8 L41 0.702 0.66 0.686 0 0 0 1.5 0.6 2 2.3 1.7 3.8 2.12 1.91 1.72 4.99 3.03 1.9 X088820 0.723 0.666 0.633 5.9 0 0 4.4 0.6 3.8 4 1.8 6.7 1.9 1.28 0.99 4.04 8.58 5.87 PvDBP.Sa 0.716 0.751 0.616 0 0 5.9 0.3 2.6 8.8 1.7 2.6 7.2 3.01 4.78 1.85 3.96 12.35 0.83 RBP2a 0.692 0.731 0.662 0 0 0 3.5 1.2 0.9 5.4 1.8 1.6 2.42 2.49 1.47 2.46 4.6 1.5 L18 0.736 0.663 0.622 0 0 0 2.3 2 2.3 3.1 4.5 3.8 2.22 1.41 0.93 2.53 2.33 4.31 RBP2cNB 0.744 0.7 0.551 0 0 5.9 1.5 1.2 11.1 3.6 1.9 6.6 3.02 2.3 1.57 3.87 3.23 0.64 L27 0.735 0.663 0.585 0 0 5.9 2.9 1.5 2 4.5 2.4 2.7 2.34 2.24 1.66 1.67 1.2 0.63 L42 0.697 0.632 0.593 0 0 0 1.5 0.9 2 2.9 1.8 3 2.81 1.91 1.85 4.44 2.89 1.19 L14 0.701 0.637 0.581 0 0 0 3.5 1.2 1.5 4.1 2 3.1 1.94 1.51 1.33 2.85 2.23 1.07 X099930 0.71 0.63 0.573 5.9 0 0 3.8 0.9 1.5 4.1 1.7 2.5 1.75 1.27 0.94 2.85 3.15 2.07 PvDBP.R3 0.685 0.67 0.554 0 0 5.9 2 1.2 2.6 4.1 3 2.7 2.51 2.19 1.73 2.57 3.11 0.51 L22 0.725 0.622 0.562 0 5.9 0 2.3 4.1 1.5 3 5.6 2.4 1.98 1.25 0.99 2.28 2.13 1.3 RBP1a 0.668 0.669 0.565 5.9 0 0 0 1.5 0.9 1.2 2.7 1.9 2.4 2.32 2.49 1.45 2.06 2.59 PvCYRPA 0.779 0.563 0.532 0 0 5.9 0.6 0.9 14 2 1.9 10.3 2.37 1.25 1.46 4.55 1.59 0.31 L10 0.719 0.588 0.553 0 5.9 0 1.2 6.1 1.2 2.4 9.3 2.3 2.14 1.31 1.04 3.61 1.39 1.43 L24 0.656 0.595 0.605 0 5.9 0 5.3 2.9 1.2 5.5 5.6 2.8 2.01 1.33 0.88 1.75 1.71 5.03 L21 0.653 0.597 0.602 0 0 0 1.5 1.8 1.8 3 2.6 4.1 2 1.55 0.93 1.47 1.35 3.08 L51 0.679 0.625 0.547 5.9 0 5.9 4.1 1.8 3.5 6.2 3.7 5.4 1.85 1.48 1.31 2.04 1.74 0.89 L25 0.67 0.593 0.58 0 5.9 0 0.9 2.5 0.9 2.1 6 2.8 1.61 1.14 0.96 2.04 1.76 2.05 L33 0.65 0.608 0.584 0 0 0 1.8 1.2 0.9 3.7 3.1 1.6 1.83 1.43 1.37 1.63 1.82 1.05 L20 0.674 0.619 0.544 0 0 0 1.5 1.2 1.5 2.7 2.1 2.9 1.71 1.31 1.23 2.2 2.08 0.82 X114330 0.666 0.594 0.577 0 0 0 1.5 1.2 1.5 2.2 2.6 3 1.44 1.15 1.03 2.35 2.2 1.78 L50 0.713 0.604 0.494 0 5.9 5.9 1.2 6.4 11.1 2.9 8.6 7.3 2.15 1.55 1.4 2.53 1.34 0.45 L06 0.686 0.583 0.54 0 0 0 1.5 1.8 1.2 2.5 3.1 2.3 1.91 1.33 0.92 2.23 1.41 1.57 L05 0.686 0.607 0.499 0 0 0 2 2.3 2 3.9 4.7 3.4 2.23 1.44 1.03 2.1 1.9 0.72 X080665 0.678 0.595 0.522 0 5.9 0 1.5 3.8 1.2 2.1 6.2 3.6 1.8 1.25 0.9 2.64 1.8 1.21 L39 0.673 0.56 0.537 5.9 0 0 4.1 1.2 1.5 4 2.4 2.8 1.64 1.12 0.96 2.96 1.57 1.5 X094350 0.641 0.602 0.516 0 0 0 1.5 2 1.8 2.7 3.2 4.2 1.47 1.3 0.96 1.79 1.7 1.15 L11 0.652 0.594 0.49 0 5.9 5.9 3.8 4.4 5 5.3 7.7 10.7 1.58 1.29 0.96 1.67 1.29 0.92 L38 0.64 0.543 0.552 0 5.9 0 1.2 5.3 1.5 3 6.3 2.6 1.59 1.2 1.19 1.18 1 0.89 L37 0.628 0.608 0.487 0 5.9 5.9 2.6 2 3.2 5.1 3.7 4.9 1.54 1.6 1.15 1.17 0.92 0.73 PvGAMA 0.646 0.57 0.495 0 0 5.9 2.3 1.2 6.7 5.3 2.5 6.5 1.64 1.49 1.32 1.45 0.74 0.53 L49 0.577 0.532 0.6 0 5.9 5.9 1.8 19.6 8.2 2.5 11.9 13.6 1.26 1.08 0.89 1.24 0.4 0.34 L47 0.641 0.513 0.539 0 5.9 5.9 0.9 5.8 4.7 1.9 6.8 4.8 1.52 1.29 1.21 1.73 0.51 0.38 L48 0.552 0.586 0.523 5.9 0 0 2.9 1.2 1.2 4.8 2.4 2.7 1.16 1.23 0.98 1.3 1.56 1.23 RBP2.P2 0.596 0.544 0.515 5.9 5.9 5.9 5 14.6 17 6.5 8.9 24.9 1.48 1.34 1.16 0.94 0.66 0.46 L03 0.579 0.503 0.566 5.9 5.9 0 2.6 2.3 2 3.8 4.1 4.4 1.59 1.14 0.93 0.82 0.8 0.51 L52 0.526 0.562 0.524 5.9 5.9 5.9 4.4 4.7 4.1 4.9 4.8 6.3 1.29 1.4 1.07 0.56 0.6 0.58 L40 0.564 0.55 0.495 0 0 0 1.8 1.5 1.2 3.3 2.7 3.2 1.23 1.01 0.91 1.08 1.79 1.09

(165) TABLE-US-00014 APPENDIX IIIB (<9m) > (>12m GMT + (<9m) > (-ve cont GMT + 2*ds(>12m)) 2*sd(-ve cont)) age trend age trend (P value) Thailand Brazil Solomons Thailand Brazil Solomons Thailand Brazil Solomons Thailand Brazil Solomons RBP2a 34.7 19 47 70.8 64.4 45.7 1.02 0.63 1.06 0 0 0 L01 36.1 0 24.3 51.4 56.6 14.3 0.39 0.52 0.24 0 0 0.0043 L31 22.2 0 7.8 25 38 7.4 0.41 0.34 0.23 0 0 3.00E−04 X087885 15.3 7.8 5.7 41.7 81 50.9 0.53 0.13 −0.1 0 2.00E−04 0.0466 PvEBP 26.4 22.9 20 55.3 41 7.8 1.08 0.59 0.21 0 0 0 L55 27.8 17.1 13.9 38.9 29.8 3.5 0.48 0.46 0.44 0 0 0 PvRipr 25 15.1 23.5 31.9 29.3 4.8 0.55 0.42 0.2 0 0 0.0013 L54 23.6 16.1 14.3 26.4 19 2.2 0.48 0.33 0.24 0 0 0 L07 22.2 0 8.3 27.8 41.5 3.9 0.22 0.34 0.19 0 0 4.00E−04 L30 23.6 9.8 10.9 47.2 11.7 9.6 0.85 0.16 0.05 0 2.00E−04 0.4217 PVDBPII 15.3 19 10.4 20.8 47.3 3.5 0.4 0.63 0.1 0 0 0.076 L34 15.3 12.2 10.9 12.5 19 3.9 0.35 0.35 0.18 0 0 2.00E−04 X092995 12.5 3.4 1.7 15.3 34.1 10 0.33 0.09 −0.03 0 0.0034 0.4924 L12 23.6 12.7 5.2 16.7 15.1 3 0.36 0.22 −0.07 0 0 0.1928 rBP1b 2.8 4.4 4.3 0 0 0 −0.12 0.12 −0.06 0.001 1.00E−04 0.1077 L23 9.7 13.7 11.7 12.5 19.5 5.7 0.29 0.22 0.1 0 0 0.0824 L02 15.3 10.7 7.4 15.3 13.7 2.6 0.31 0.4 0.02 0 0 0.6554 L32 13.9 20.5 10 4.2 3.9 0.4 0.15 0.31 0.25 0.0016 0 1.00E−04 L28 18.1 12.7 8.3 45.8 33.2 9.1 0.46 0.32 0.26 0 0 0 L19 20.8 9.8 3.9 33.3 19.5 10.9 0.62 0.31 −0.14 0 0 0.0036 L36 18.1 14.6 11.3 36.1 22 10.4 0.63 0.36 0.3 0 0 0 L41 9.7 9.3 7.8 29.2 17.6 8.3 0.39 0.41 0.32 0 0 0 X088820 12.5 0 0 15.3 35.6 14.8 0.17 0.07 −0.02 0 0.0032 0.5905 PvDBP.Sa 18.1 16.6 11.3 16.7 36.6 1.3 0.39 0.61 0.18 0 0 0.0016 RBP2a 18.1 13.2 9.1 18.1 22.4 3.5 0.3 0.34 0.1 0 0 0.0144 L18 15.3 3.4 4.3 11.1 6.3 10.4 0.11 0.08 −0.17 0.0022 0.0106 1.00E−04 RBP2cNB 23.6 16.6 10 18.1 17.6 1.7 0.43 0.35 0.44 0 0 0 L27 15.3 13.2 10 0 0 0 0.1 0.3 0.15 0.0021 0 3.00E−04 L42 16.7 12.7 16.1 29.2 20 7 0.5 0.3 0.27 0 0 0 L14 12.5 3.9 5.2 9.7 5.9 1.3 0.05 0.18 0.02 0.1401 0 0.6094 X099930 5.6 6.8 1.7 8.3 17.6 6.1 0.06 0.02 −0.06 0.0734 0.4923 0.1513 PvDBP.R3 13.9 9.8 8.7 13.9 11.2 0.9 0.36 0.33 0.16 0 0 0.0047 L22 9.7 3.4 3 4.2 5.9 2.6 0.11 0.16 −0.08 0.0012 0 0.0611 RBP1a 18.1 16.1 10.4 8.3 18 1.3 0.36 0.44 0.12 0 0 0.0239 PvCYRPA 16.7 0 4.8 29.2 11.7 0 0.43 −0.02 0.15 0 0.6208 0.0046 L10 8.3 4.4 3 12.5 4.4 1.3 0.47 0.16 −0.17 0 0 3.00E−04 L24 9.7 6.8 3.9 4.2 7.3 7 0.12 0.14 −0.21 0.0069 3.00E−04 0 L21 8.3 6.3 3.5 2.8 6.3 6.1 0.04 0.13 −0.19 0.3593 4.00E−04 0 L51 4.2 3.9 4.8 2.8 3.9 2.6 0.25 0.22 0.31 0 0 0 L25 11.1 2.4 0.9 6.9 4.9 3.9 0.04 0.04 −0.15 0.3008 0.232 0.0025 L33 11.1 4.9 5.2 6.9 5.9 0.9 0.21 0.22 0.24 0 0 0 L20 9.7 0 4.3 0 0 0 0.01 0.11 0.02 0.7715 1.00E−04 0.7011 X114330 5.6 5.9 3 8.3 10.7 4.3 0.11 0.05 −0.09 4.00E−04 0.103 0.054 L50 11.1 5.4 6.5 5.6 4.4 0.9 0.13 0.27 0.2 6.00E−04 0 0 L06 6.9 4.4 1.7 2.8 3.4 0.4 −0.03 0.01 −0.35 0.4684 0.6901 0 L05 12.5 8.8 3.5 5.6 9.8 0.4 0.13 0.15 −0.11 0.0018 1.00E−04 0.0232 X080665 4.2 4.4 1.3 2.8 4.4 0.4 0.14 0.08 −0.09 7.00E−04 0.0263 0.0757 L39 6.9 3.9 3.5 6.9 4.4 3.5 0.04 0.07 −0.15 0.2562 0.053 0.0064 X094350 2.8 0 1.3 0 0 0 0.01 0.12 0.11 0.7336 0 0.0116 L11 6.9 3.4 2.6 1.4 2.4 0 0.16 0.1 −0.1 0 0.0027 0.0126 L38 6.9 3.4 3.9 0 0 0 −0.03 0.1 0.06 0.465 0.0011 0.0898 L37 2.8 4.9 3.9 0 2.4 1.3 −0.03 0.16 0.05 0.3436 0 0.2103 PvGAMA 9.7 6.8 9.1 6.9 2.9 0.9 0.19 0.14 0.05 0 0 0.1987 L49 9.7 3.9 3 0 0 0 −0.09 0 −0.21 0.0088 0.9079 2.00E−04 L47 12.5 4.4 5.2 5.6 1 0 0.02 0.15 −0.06 0.5816 0 0.3004 L48 0 0 3.5 0 0 0 −0.08 0 −0.14 0.0173 0.9939 0.0011 RBP2.P2 5.6 4.9 4.3 0 0 0 −0.01 0.13 −0.02 0.7196 0 0.5467 L03 2.8 0 3 1.4 4.4 0.4 −0.03 0.03 −0.16 0.4053 0.3609 2.00E−04 L52 1.4 5.9 3 0 0.5 0 −0.15 0.15 0.01 2.00E−04 0 0.8287 L40 9.7 0 0 0 0 0 −0.09 0.04 −0.15 0.0058 0.1846 0.0018

(166) Any and all references to publications or other documents, including but not limited to, patents, patent applications, articles, webpages, books, etc., presented in the present application, are herein incorporated by reference in their entirety.

(167) Example embodiments of the devices, systems and methods have been described herein. As noted elsewhere, these embodiments have been described for illustrative purposes only and are not limiting. Other embodiments are possible and are covered by the disclosure, which will be apparent from the teachings contained herein. Thus, the breadth and scope of the disclosure should not be limited by any of the above-described embodiments but should be defined only in accordance with claims supported by the present disclosure and their equivalents. Moreover, embodiments of the subject disclosure may include methods, systems and apparatuses which may further include any and all elements from any other disclosed methods, systems, and apparatuses, including any and all elements corresponding to target particle separation, focusing/concentration. In other words, elements from one or another disclosed embodiments may be interchangeable with elements from other disclosed embodiments. In addition, one or more features/elements of disclosed embodiments may be removed and still result in patentable subject matter (and thus, resulting in yet more embodiments of the subject disclosure). Correspondingly, some embodiments of the present disclosure may be patentably distinct from one and/or another reference by specifically lacking one or more elements/features. In other words, claims to certain embodiments may contain negative limitation to specifically exclude one or more elements/features resulting in embodiments which are patentably distinct from the prior art which include such features/elements.