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Reconstructing the landscape of gut microbial species across 29,000 diverse individuals
The human gut microbiome has been linked to health and disease. Investigation of the human microbiome has largely employed 16S amplicon sequencing, with limited ability to distinguish microbes at the species level. Herein, we describe the development of Reference-based Exact Mapping (RExMap) of micr...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10201371/ https://www.ncbi.nlm.nih.gov/pubmed/37070603 http://dx.doi.org/10.1093/nar/gkad249 |
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author | Segota, Igor Watrous, Jeramie D Kantz, Edward D Nallamshetty, Shriram Tiwari, Saumya Cheng, Susan Jain, Mohit Long, Tao |
author_facet | Segota, Igor Watrous, Jeramie D Kantz, Edward D Nallamshetty, Shriram Tiwari, Saumya Cheng, Susan Jain, Mohit Long, Tao |
author_sort | Segota, Igor |
collection | PubMed |
description | The human gut microbiome has been linked to health and disease. Investigation of the human microbiome has largely employed 16S amplicon sequencing, with limited ability to distinguish microbes at the species level. Herein, we describe the development of Reference-based Exact Mapping (RExMap) of microbial amplicon variants that enables mapping of microbial species from standard 16S sequencing data. RExMap analysis of 16S data captures ∼75% of microbial species identified by whole-genome shotgun sequencing, despite hundreds-fold less sequencing depth. RExMap re-analysis of existing 16S data from 29,349 individuals across 16 regions from around the world reveals a detailed landscape of gut microbial species across populations and geography. Moreover, RExMap identifies a core set of fifteen gut microbes shared by humans. Core microbes are established soon after birth and closely associate with BMI across multiple independent studies. RExMap and the human microbiome dataset are presented as resources with which to explore the role of the human microbiome. |
format | Online Article Text |
id | pubmed-10201371 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-102013712023-05-23 Reconstructing the landscape of gut microbial species across 29,000 diverse individuals Segota, Igor Watrous, Jeramie D Kantz, Edward D Nallamshetty, Shriram Tiwari, Saumya Cheng, Susan Jain, Mohit Long, Tao Nucleic Acids Res Data Resources and Analyses The human gut microbiome has been linked to health and disease. Investigation of the human microbiome has largely employed 16S amplicon sequencing, with limited ability to distinguish microbes at the species level. Herein, we describe the development of Reference-based Exact Mapping (RExMap) of microbial amplicon variants that enables mapping of microbial species from standard 16S sequencing data. RExMap analysis of 16S data captures ∼75% of microbial species identified by whole-genome shotgun sequencing, despite hundreds-fold less sequencing depth. RExMap re-analysis of existing 16S data from 29,349 individuals across 16 regions from around the world reveals a detailed landscape of gut microbial species across populations and geography. Moreover, RExMap identifies a core set of fifteen gut microbes shared by humans. Core microbes are established soon after birth and closely associate with BMI across multiple independent studies. RExMap and the human microbiome dataset are presented as resources with which to explore the role of the human microbiome. Oxford University Press 2023-04-18 /pmc/articles/PMC10201371/ /pubmed/37070603 http://dx.doi.org/10.1093/nar/gkad249 Text en © The Author(s) 2023. Published by Oxford University Press on behalf of Nucleic Acids Research. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Data Resources and Analyses Segota, Igor Watrous, Jeramie D Kantz, Edward D Nallamshetty, Shriram Tiwari, Saumya Cheng, Susan Jain, Mohit Long, Tao Reconstructing the landscape of gut microbial species across 29,000 diverse individuals |
title | Reconstructing the landscape of gut microbial species across 29,000 diverse individuals |
title_full | Reconstructing the landscape of gut microbial species across 29,000 diverse individuals |
title_fullStr | Reconstructing the landscape of gut microbial species across 29,000 diverse individuals |
title_full_unstemmed | Reconstructing the landscape of gut microbial species across 29,000 diverse individuals |
title_short | Reconstructing the landscape of gut microbial species across 29,000 diverse individuals |
title_sort | reconstructing the landscape of gut microbial species across 29,000 diverse individuals |
topic | Data Resources and Analyses |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10201371/ https://www.ncbi.nlm.nih.gov/pubmed/37070603 http://dx.doi.org/10.1093/nar/gkad249 |
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