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Strain-level epidemiology of microbial communities and the human microbiome
The biological importance and varied metabolic capabilities of specific microbial strains have long been established in the scientific community. Strains have, in the past, been largely defined and characterized based on microbial isolates. However, the emergence of new technologies and techniques h...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7427293/ https://www.ncbi.nlm.nih.gov/pubmed/32791981 http://dx.doi.org/10.1186/s13073-020-00765-y |
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author | Yan, Yan Nguyen, Long H. Franzosa, Eric A. Huttenhower, Curtis |
author_facet | Yan, Yan Nguyen, Long H. Franzosa, Eric A. Huttenhower, Curtis |
author_sort | Yan, Yan |
collection | PubMed |
description | The biological importance and varied metabolic capabilities of specific microbial strains have long been established in the scientific community. Strains have, in the past, been largely defined and characterized based on microbial isolates. However, the emergence of new technologies and techniques has enabled assessments of their ecology and phenotypes within microbial communities and the human microbiome. While it is now more obvious how pathogenic strain variants are detrimental to human health, the consequences of subtle genetic variation in the microbiome have only recently been exposed. Here, we review the operational definitions of strains (e.g., genetic and structural variants) as they can now be identified from microbial communities using different high-throughput, often culture-independent techniques. We summarize the distribution and diversity of strains across the human body and their emerging links to health maintenance, disease risk and progression, and biochemical responses to perturbations, such as diet or drugs. We list methods for identifying, quantifying, and tracking strains, utilizing high-throughput sequencing along with other molecular and “culturomics” technologies. Finally, we discuss implications of population studies in bridging experimental gaps and leading to a better understanding of the health effects of strains in the human microbiome. |
format | Online Article Text |
id | pubmed-7427293 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-74272932020-08-16 Strain-level epidemiology of microbial communities and the human microbiome Yan, Yan Nguyen, Long H. Franzosa, Eric A. Huttenhower, Curtis Genome Med Review The biological importance and varied metabolic capabilities of specific microbial strains have long been established in the scientific community. Strains have, in the past, been largely defined and characterized based on microbial isolates. However, the emergence of new technologies and techniques has enabled assessments of their ecology and phenotypes within microbial communities and the human microbiome. While it is now more obvious how pathogenic strain variants are detrimental to human health, the consequences of subtle genetic variation in the microbiome have only recently been exposed. Here, we review the operational definitions of strains (e.g., genetic and structural variants) as they can now be identified from microbial communities using different high-throughput, often culture-independent techniques. We summarize the distribution and diversity of strains across the human body and their emerging links to health maintenance, disease risk and progression, and biochemical responses to perturbations, such as diet or drugs. We list methods for identifying, quantifying, and tracking strains, utilizing high-throughput sequencing along with other molecular and “culturomics” technologies. Finally, we discuss implications of population studies in bridging experimental gaps and leading to a better understanding of the health effects of strains in the human microbiome. BioMed Central 2020-08-13 /pmc/articles/PMC7427293/ /pubmed/32791981 http://dx.doi.org/10.1186/s13073-020-00765-y Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Review Yan, Yan Nguyen, Long H. Franzosa, Eric A. Huttenhower, Curtis Strain-level epidemiology of microbial communities and the human microbiome |
title | Strain-level epidemiology of microbial communities and the human microbiome |
title_full | Strain-level epidemiology of microbial communities and the human microbiome |
title_fullStr | Strain-level epidemiology of microbial communities and the human microbiome |
title_full_unstemmed | Strain-level epidemiology of microbial communities and the human microbiome |
title_short | Strain-level epidemiology of microbial communities and the human microbiome |
title_sort | strain-level epidemiology of microbial communities and the human microbiome |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7427293/ https://www.ncbi.nlm.nih.gov/pubmed/32791981 http://dx.doi.org/10.1186/s13073-020-00765-y |
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