Methods and compositions are provided for treating weight related conditions and metabolic disorders by altering microbiota in a subject. One aspect provides methods and compositions to alter microbiota in a subject by administering to the subject a composition that includes a substantially purified microbiota from phyla such as Bacteroidetes, Proteobacteria, Firmicutes and Verrucomicrobia or orders such as Bacteroidales, Verrucomicrobiales, Clostridiales and Enterobacteriales or genera such as Alistipes, Clostridium, Escherichia, and Akkermansia. Another aspect includes a pharmaceutical composition for altering microbiota that includes a therapeutically effective amount of substantially purified microbiota and a pharmaceutically acceptable carrier. Yet another aspect includes methods for treating a disorder, such as obesity, in a subject in need of such treatment by changing relative abundance of microbiota in a gastrointestinal tract of the subject without or in addition to a surgical procedure.

Disclosed herein are methods and systems for rapid detection of microorganisms such as bacteria in a sample. A genetically modified bacteriophage is also disclosed which comprises an indicator gene encoding one subunit of an indicator protein. The specificity of the bacteriophage allows detection of a particular bacteria of interest and an indicator signal may be amplified to optimize assay sensitivity.

Compositions and methods for identifying and using cis-regulatory and decoy sequences are disclosed.

A method of identifying hydrocarbon seeps that are connected to hydrocarbon reservoirs and for identifying in situ conditions of hydrocarbon reservoirs is disclosed. The method comprises, obtaining a sample from an area of interest, such as a sediment sample or water column sample near a hydrocarbon seep; analyzing the sample to detect microbial signatures that are specific to families associated with hydrocarbon reservoirs; and using the signature to determine whether the hydrocarbon seep is connected to a hydrocarbon reservoir and to identify properties of the hydrocarbon reservoir.

This invention is related to novel PNA probes, probe sets, methods and kits pertaining to the detection of one or more species of Candida yeast. Non-limiting examples of probing nucleobase sequences that can be used for the probes of this invention can be selected from the group consisting of: AGA-GAG-CAG-CAT-GCA (Seq. Id. No. 1), AGA-GAG-CAA-CAT-GCA (Seq. Id. No. 2), ACA-GCA-GAA-GCC-GTG (Seq. Id. No. 3), CAT-AAA-TGG-CTA-CCA-GA (Seq. Id. No. 4), CAT-AAA-TGG-CTA-CCC-AG (Seq. Id. No. 5), ACT-TGG-AGT-CGA-TAG (Seq. Id. No. 6), CCA-AGG-CTT-ATA-CTC-GC (Seq. Id. No. 7), CCC-CTG-AAT-CGG-GAT (Seq. Id. No. 8), GAC-GCC-AAA-GAC-GCC (Seq. Id. No. 9), ATC-GTC-AGA-GGC-TAT-AA (Seq. Id. No. 10), TAG-CCA-GAA-GAA-AGG (Seq. Id. No. 11), CAT-AAA-TGG-CTA-GCC-AG (Seq. Id. No. 12), CTC-CGA-TGT-GAC-TGC-G (Seq. Id. No. 13), TCC-CAG-ACT-GCT-CGG (Seq. Id. No. 14), TCC-AAG-AGG-TCG-AGA (Seq. Id. No. 15), GCC-AAG-CCA-CAA-GGA (Seq. Id. No. 16), GCC-GCC-AAG-CCA-CA (Seq. Id. No. 17), GGA-CTT-GGG-GTT-AG (Seq. Id. No. 18), CCG-GGT-GCA-TTC-CA (Seq. Id. No. 19), ATG-TAG-AAC-GGA-ACT-A (Seq. Id. No. 20), GAT-TCT-CGG-CCC-CAT-G (Seq. Id. No. 21), CTG-GTT-CGC-CAA-AAA-G (Seq. Id. No. 22) and AGT-ACG-CAT-CAG-AAA (Seq. Id. No. 23).

Methods and containers are provided for identifying a species, illustratively a bacterial species. Illustrative methods comprise amplifying various genes in the nucleic acid from the bacterial species in a single reaction mixture using pairs of outer first-stage primers designed to hybridize to generally conserved regions of the respective genes to generate a plurality of first-stage amplicons, dividing the reaction mixture into a plurality of second-stage reactions, each using a unique pair of second-stage primers, each pair of second-stage primers specific for a target bacterial species or subset of bacterial species, detecting which of the second-stage reactions amplified, and identifying the bacterial species based on second-stage amplification. Methods for determining antibiotic resistance are also provided, such methods also using first-stage primers for amplifying genes known to affect antibiotic resistance a plurality of the second-stage reactions wherein each pair of second-stage primers specific for a specific gene for conferring antibiotic resistance.

Disclosed herein are methods and compositions that can be used to improve motor deficits and neuroinflammation in subjects in need, for example subjects suffering from neurodegenerative disorders (e.g., Parkinson's disease). Also disclosed are methods and compositions that can be used to diagnose neurodegenerative disorders, such as Parkinson's disease.

Disclosed herein are methods and compositions that can be used to improve motor deficits and neuroinflammation in subjects in need, for example subjects suffering from neurodegenerative disorders (e.g., Parkinson's disease). Also disclosed are methods and compositions that can be used to diagnose neurodegenerative disorders, such as Parkinson's disease.

The present invention is concerned with PCR-based detection methods and kits for the identification, differentiation, and quantification of different bacterial strains (e.g., Gram-negative bacterial strains), and also association of two or more PCR-positive genes to a single genome. The methods generally comprise carrying out PCR reactions using at least a first PCR primer set and/or probe for at least one target nucleic acid; and a second PCR primer set and/or probe for at least a second target nucleic acid. Positive PCR reaction products are then detected to determine test samples containing positive PCR reaction products for both the first and second target nucleic acids. This information can be used to calculate the gene association rate to determine whether the sample contains, for example, Shiga toxin-producing E. coli of the O-type serogroup.

Assays and methods for detecting resistance to beta-lactam antibiotics including detection of multiple β-lactamase family specific gene targets by polymerase chain reaction or microarray. One or more kits including primers and/or probes for identification of β-lactamase genes selected from the group consisting of one or more of the following: MOX-like, FOX-like, ACC-like, ACT/MIR-like, CMY-2-like, DHA-like, CTX-M-14-like, CTX-M-15-like, VIM-like, NDM-like, IMP-like, KPC-like, and OXA-48-like, OXA-51-like, OXA-143-like, OXA-58-like, OXA-23-like, OXA-24/40-like, TEM-like, and SHV-like. A kit may also include one or more primers and/or probes for the identification a non-beta lactamase gene family which confers antibiotic resistance, such as the MCR-1 gene.