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Divergences in gene repertoire among the reference Prevotella genomes derived from distinct body sites of human
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Molecular and Genetic Medicine

ISSN: 1747-0862

Open Access

Divergences in gene repertoire among the reference Prevotella genomes derived from distinct body sites of human


3rd International Conference on Genomics & Pharmacogenomics

September 21-23, 2015 San Antonio, USA

Vinod Kumar Gupta

CSIR-Indian Institute of Chemical Biology, India

Posters-Accepted Abstracts: J Mol Genet Med

Abstract :

In a human body, the distinct body-sites form unique niches for the resident microbiota. There has been an increasing amount of literature on the habitat-specific variations in the microbiome composition at the phylum, genus or species levels, not much information is available on the variations, at the genome/sub-genome levels of a specific microbial community across different niches. This report aims to explore, as a case study, the habitat-driven changes in the gene repertoire of 28 Prevotella reference genomes derived from different body-sites. Pan-genome analysis of Prevotella has yielded 24885 distinct gene families. Among these, 456 forms are the conserved core, 7263 are accessory genes and 17166 are singletons. The study reveals exclusive presence of 11798, 3673, 3348 and 934 gene families and exclusive absence of 17, 221, 115 and 645 gene families in Prevotella genomes derived from oral cavity, gut, urogenital-tract and skin, respectively. Distribution of functional COG categories differs appreciably among the niche-specific genes. Accessory and singletons show high frequencies of signal transduction mechanisms category in skin and gut isolates, while defense mechanisms category is over-represented among singletons of the urogenital-tract and some oral isolates. These observations clearly point towards the niche-specific modulation in genetic make-ups of microbiome components. Plausible metabolic/physiological implications of such niche-specific gene repertoire are now being investigated in an attempt to have an insight into the host-microbiome interactions at different body-sites. A novel computational pipeline for pan-genome analysis of microbial organisms has also been developed in course of this study.

Biography :

Email: vinodgupta299@gmail.com

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Citations: 3919

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