title: In silico analysis of antibiotic resistance genes in the gut microflora of individuals from diverse geographies and age-groups.
abstract: The spread of antibiotic resistance, originating from the rampant and unrestrictive use of antibiotics in humans and livestock over the past few decades has emerged as a global health problem. This problem has been further compounded by recent reports implicating the gut microbial communities to act as reservoirs of antibiotic resistance. We have profiled the presence of probable antibiotic resistance genes in the gut flora of 275 individuals from eight different nationalities. For this purpose, available metagenomic data sets corresponding to 275 gut microbiomes were analyzed. Sequence similarity searches of the genomic fragments constituting each of these metagenomes were performed against genes conferring resistance to around 240 antibiotics. Potential antibiotic resistance genes conferring resistance against 53 different antibiotics were detected in the human gut microflora analysed in this study. In addition to several geography/country-specific patterns, four distinct clusters of gut microbiomes, referred to as 'Resistotypes', exhibiting similarities in their antibiotic resistance profiles, were identified. Groups of antibiotics having similarities in their resistance patterns within each of these clusters were also detected. Apart from this, mobile multi-drug resistance gene operons were detected in certain gut microbiomes. The study highlighted an alarmingly high abundance of antibiotic resistance genes in two infant gut microbiomes. The results obtained in the present study presents a holistic 'big picture' on the spectra of antibiotic resistance within our gut microbiota across different geographies. Such insights may help in implementation of new regulations and stringency on the existing ones.
authors.affiliation: BioSciences R&D Division, TCS Innovation Labs, Tata Consultancy Services Ltd., Pune, Maharashtra, India.
authors.forename: Tarini Shankar
authors.initials: TS
authors.lastname: Ghosh
authors.affiliation: Translational Health Sciences and Technology Institute, Gurgaon, Haryana, India.
authors.forename: Sourav Sen
authors.initials: SS
authors.lastname: Gupta
authors.affiliation: Translational Health Sciences and Technology Institute, Gurgaon, Haryana, India.
authors.forename: Gopinath Balakrish
authors.initials: GB
authors.lastname: Nair
authors.affiliation: BioSciences R&D Division, TCS Innovation Labs, Tata Consultancy Services Ltd., Pune, Maharashtra, India.
authors.forename: Sharmila S
authors.initials: SS
authors.lastname: Mande
mesh_terms: D000328:Adult; D000367:Age Factors; D000900:Anti-Bacterial Agents / Q000494:pharmacology*; D015415:Biomarkers / Q000378:metabolism; D002648:Child; D019295:Computational Biology; D004269:DNA, Bacterial / Q000235:genetics; D024881:Drug Resistance, Bacterial / Q000235:genetics*; D018432:Drug Resistance, Multiple / Q000235:genetics; D041981:Gastrointestinal Tract / Q000187:drug effects* / Q000378:metabolism / Q000382:microbiology; D020869:Gene Expression Profiling; D005798:Genes, Bacterial / Q000235:genetics*; D005843:Geography; D006801:Humans; D054892:Metagenome / Q000235:genetics*; D064307:Microbiota / Q000187:drug effects / Q000235:genetics*; D020411:Oligonucleotide Array Sequence Analysis
chemical_list: D000900:Anti-Bacterial Agents; D015415:Biomarkers; D004269:DNA, Bacterial