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Novel Bacterial Taxa in the Human Microbiome

The human gut harbors thousands of bacterial taxa. A profusion of metagenomic sequence data has been generated from human stool samples in the last few years, raising the question of whether more taxa remain to be identified. We assessed metagenomic data generated by the Human Microbiome Project Con...

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Autores principales: Wylie, Kristine M., Truty, Rebecca M., Sharpton, Thomas J., Mihindukulasuriya, Kathie A., Zhou, Yanjiao, Gao, Hongyu, Sodergren, Erica, Weinstock, George M., Pollard, Katherine S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3374617/
https://www.ncbi.nlm.nih.gov/pubmed/22719826
http://dx.doi.org/10.1371/journal.pone.0035294
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author Wylie, Kristine M.
Truty, Rebecca M.
Sharpton, Thomas J.
Mihindukulasuriya, Kathie A.
Zhou, Yanjiao
Gao, Hongyu
Sodergren, Erica
Weinstock, George M.
Pollard, Katherine S.
author_facet Wylie, Kristine M.
Truty, Rebecca M.
Sharpton, Thomas J.
Mihindukulasuriya, Kathie A.
Zhou, Yanjiao
Gao, Hongyu
Sodergren, Erica
Weinstock, George M.
Pollard, Katherine S.
author_sort Wylie, Kristine M.
collection PubMed
description The human gut harbors thousands of bacterial taxa. A profusion of metagenomic sequence data has been generated from human stool samples in the last few years, raising the question of whether more taxa remain to be identified. We assessed metagenomic data generated by the Human Microbiome Project Consortium to determine if novel taxa remain to be discovered in stool samples from healthy individuals. To do this, we established a rigorous bioinformatics pipeline that uses sequence data from multiple platforms (Illumina GAIIX and Roche 454 FLX Titanium) and approaches (whole-genome shotgun and 16S rDNA amplicons) to validate novel taxa. We applied this approach to stool samples from 11 healthy subjects collected as part of the Human Microbiome Project. We discovered several low-abundance, novel bacterial taxa, which span three major phyla in the bacterial tree of life. We determined that these taxa are present in a larger set of Human Microbiome Project subjects and are found in two sampling sites (Houston and St. Louis). We show that the number of false-positive novel sequences (primarily chimeric sequences) would have been two orders of magnitude higher than the true number of novel taxa without validation using multiple datasets, highlighting the importance of establishing rigorous standards for the identification of novel taxa in metagenomic data. The majority of novel sequences are related to the recently discovered genus Barnesiella, further encouraging efforts to characterize the members of this genus and to study their roles in the microbial communities of the gut. A better understanding of the effects of less-abundant bacteria is important as we seek to understand the complex gut microbiome in healthy individuals and link changes in the microbiome to disease.
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spelling pubmed-33746172012-06-20 Novel Bacterial Taxa in the Human Microbiome Wylie, Kristine M. Truty, Rebecca M. Sharpton, Thomas J. Mihindukulasuriya, Kathie A. Zhou, Yanjiao Gao, Hongyu Sodergren, Erica Weinstock, George M. Pollard, Katherine S. PLoS One Research Article The human gut harbors thousands of bacterial taxa. A profusion of metagenomic sequence data has been generated from human stool samples in the last few years, raising the question of whether more taxa remain to be identified. We assessed metagenomic data generated by the Human Microbiome Project Consortium to determine if novel taxa remain to be discovered in stool samples from healthy individuals. To do this, we established a rigorous bioinformatics pipeline that uses sequence data from multiple platforms (Illumina GAIIX and Roche 454 FLX Titanium) and approaches (whole-genome shotgun and 16S rDNA amplicons) to validate novel taxa. We applied this approach to stool samples from 11 healthy subjects collected as part of the Human Microbiome Project. We discovered several low-abundance, novel bacterial taxa, which span three major phyla in the bacterial tree of life. We determined that these taxa are present in a larger set of Human Microbiome Project subjects and are found in two sampling sites (Houston and St. Louis). We show that the number of false-positive novel sequences (primarily chimeric sequences) would have been two orders of magnitude higher than the true number of novel taxa without validation using multiple datasets, highlighting the importance of establishing rigorous standards for the identification of novel taxa in metagenomic data. The majority of novel sequences are related to the recently discovered genus Barnesiella, further encouraging efforts to characterize the members of this genus and to study their roles in the microbial communities of the gut. A better understanding of the effects of less-abundant bacteria is important as we seek to understand the complex gut microbiome in healthy individuals and link changes in the microbiome to disease. Public Library of Science 2012-06-13 /pmc/articles/PMC3374617/ /pubmed/22719826 http://dx.doi.org/10.1371/journal.pone.0035294 Text en Wylie et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Wylie, Kristine M.
Truty, Rebecca M.
Sharpton, Thomas J.
Mihindukulasuriya, Kathie A.
Zhou, Yanjiao
Gao, Hongyu
Sodergren, Erica
Weinstock, George M.
Pollard, Katherine S.
Novel Bacterial Taxa in the Human Microbiome
title Novel Bacterial Taxa in the Human Microbiome
title_full Novel Bacterial Taxa in the Human Microbiome
title_fullStr Novel Bacterial Taxa in the Human Microbiome
title_full_unstemmed Novel Bacterial Taxa in the Human Microbiome
title_short Novel Bacterial Taxa in the Human Microbiome
title_sort novel bacterial taxa in the human microbiome
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3374617/
https://www.ncbi.nlm.nih.gov/pubmed/22719826
http://dx.doi.org/10.1371/journal.pone.0035294
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