作者: Kelvin Li , Monika Bihan , Shibu Yooseph , Barbara A. Methé
DOI: 10.1371/JOURNAL.PONE.0032118
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摘要: Analysis of human body microbial diversity is fundamental to understanding community structure, biology and ecology. The National Institutes Health Human Microbiome Project (HMP) has provided an unprecedented opportunity examine within across habitats individuals through pyrosequencing-based profiling 16 S rRNA gene sequences (16 S) from habits the oral, skin, distal gut, vaginal regions over 200 healthy enabling application statistical techniques. In this study, two approaches were applied elucidate nature extent microbiome diversity. First, bootstrap parametric curve fitting techniques evaluated estimate maximum number unique taxa, Smax, taxa discovery rate for individuals. Next, our results demonstrated that variation low abundant was not sufficiently quantified with standard ecological indices. This impact motivated us introduce a novel rank-based measure, Tail statistic, (“τ”), based on deviation rank abundance if made symmetric by reflection around most taxon. Due τ’s greater sensitivity its estimation taxonomic units using dependent independent methods revealed range values recovered between versus habitats, different patterns habitats. greatest τ found in stool, which also exhibited undiscovered taxa. Oral skin variable patterns, while consistently least diverse. Collectively, these demonstrate importance, motivate introduction, several visualization analysis tuned specifically next-generation sequence data, further revealing serve as important reservoir genetic microbiome.