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Model Microbial Consortia as Tools for Understanding Complex Microbial Communities
A major biological challenge in the postgenomic era has been untangling the composition and functions of microbes that inhabit complex communities or microbiomes. Multi-omics and modern bioinformatics have provided the tools to assay molecules across different cellular and community scales; however,...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Bentham Science Publishers
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6225455/ https://www.ncbi.nlm.nih.gov/pubmed/30532651 http://dx.doi.org/10.2174/1389202919666180911131206 |
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author | Haruta, Shin Yamamoto, Kyosuke |
author_facet | Haruta, Shin Yamamoto, Kyosuke |
author_sort | Haruta, Shin |
collection | PubMed |
description | A major biological challenge in the postgenomic era has been untangling the composition and functions of microbes that inhabit complex communities or microbiomes. Multi-omics and modern bioinformatics have provided the tools to assay molecules across different cellular and community scales; however, mechanistic knowledge over microbial interactions often remains elusive. This is due to the immense diversity and the essentially undiminished volume of not-yet-cultured microbes. Simplified model communities hold some promise in enabling researchers to manage complexity so that they can mechanistically understand the emergent properties of microbial community interactions. In this review, we surveyed several approaches that have effectively used tractable model consortia to elucidate the complex behavior of microbial communities. We go further to provide some perspectives on the limitations and new opportunities with these approaches and highlight where these efforts are likely to lead as advances are made in molecular ecology and systems biology. |
format | Online Article Text |
id | pubmed-6225455 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Bentham Science Publishers |
record_format | MEDLINE/PubMed |
spelling | pubmed-62254552019-06-01 Model Microbial Consortia as Tools for Understanding Complex Microbial Communities Haruta, Shin Yamamoto, Kyosuke Curr Genomics Article A major biological challenge in the postgenomic era has been untangling the composition and functions of microbes that inhabit complex communities or microbiomes. Multi-omics and modern bioinformatics have provided the tools to assay molecules across different cellular and community scales; however, mechanistic knowledge over microbial interactions often remains elusive. This is due to the immense diversity and the essentially undiminished volume of not-yet-cultured microbes. Simplified model communities hold some promise in enabling researchers to manage complexity so that they can mechanistically understand the emergent properties of microbial community interactions. In this review, we surveyed several approaches that have effectively used tractable model consortia to elucidate the complex behavior of microbial communities. We go further to provide some perspectives on the limitations and new opportunities with these approaches and highlight where these efforts are likely to lead as advances are made in molecular ecology and systems biology. Bentham Science Publishers 2018-12 2018-12 /pmc/articles/PMC6225455/ /pubmed/30532651 http://dx.doi.org/10.2174/1389202919666180911131206 Text en © 2018 Bentham Science Publishers https://creativecommons.org/licenses/by-nc/4.0/legalcode This is an open access article licensed under the terms of the Creative Commons Attribution-Non-Commercial 4.0 International Public License (CC BY-NC 4.0) (https://creativecommons.org/licenses/by-nc/4.0/legalcode), which permits unrestricted, non-commercial use, distribution and reproduction in any medium, provided the work is properly cited. |
spellingShingle | Article Haruta, Shin Yamamoto, Kyosuke Model Microbial Consortia as Tools for Understanding Complex Microbial Communities |
title | Model Microbial Consortia as Tools for Understanding Complex Microbial Communities |
title_full | Model Microbial Consortia as Tools for Understanding Complex Microbial Communities |
title_fullStr | Model Microbial Consortia as Tools for Understanding Complex Microbial Communities |
title_full_unstemmed | Model Microbial Consortia as Tools for Understanding Complex Microbial Communities |
title_short | Model Microbial Consortia as Tools for Understanding Complex Microbial Communities |
title_sort | model microbial consortia as tools for understanding complex microbial communities |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6225455/ https://www.ncbi.nlm.nih.gov/pubmed/30532651 http://dx.doi.org/10.2174/1389202919666180911131206 |
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