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A network-based approach to deciphering a dynamic microbiome’s response to a subtle perturbation
Over the past decades, one main issue that has emerged in ecological and environmental research is how losses in biodiversity influence ecosystem dynamics and functioning, and consequently human society. Although biodiversity is a common indicator of ecosystem functioning, it is difficult to measure...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7659003/ https://www.ncbi.nlm.nih.gov/pubmed/33177547 http://dx.doi.org/10.1038/s41598-020-73920-5 |
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author | Shaw, Grace Tzun-Wen Liu, An-Chi Weng, Chieh-Yin Chen, Yi-Chun Chen, Cheng-Yu Weng, Francis Cheng-Hsuan Wang, Daryi Chou, Chu-Yang |
author_facet | Shaw, Grace Tzun-Wen Liu, An-Chi Weng, Chieh-Yin Chen, Yi-Chun Chen, Cheng-Yu Weng, Francis Cheng-Hsuan Wang, Daryi Chou, Chu-Yang |
author_sort | Shaw, Grace Tzun-Wen |
collection | PubMed |
description | Over the past decades, one main issue that has emerged in ecological and environmental research is how losses in biodiversity influence ecosystem dynamics and functioning, and consequently human society. Although biodiversity is a common indicator of ecosystem functioning, it is difficult to measure biodiversity in microbial communities exposed to subtle or chronic environmental perturbations. Consequently, there is a need for alternative bioindicators to detect, measure, and monitor gradual changes in microbial communities against these slight, chronic, and continuous perturbations. In this study, microbial networks before and after subtle perturbations by adding S. acidaminiphila showed diverse topological niches and 4-node motifs in which microbes with co-occurrence patterns played the central roles in regulating and adjusting the intertwined relationships among microorganisms in response to the subtle environmental changes. This study demonstrates that microbial networks are a good bioindicator for chronic perturbation and should be applied in a variety of ecological investigations. |
format | Online Article Text |
id | pubmed-7659003 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-76590032020-11-13 A network-based approach to deciphering a dynamic microbiome’s response to a subtle perturbation Shaw, Grace Tzun-Wen Liu, An-Chi Weng, Chieh-Yin Chen, Yi-Chun Chen, Cheng-Yu Weng, Francis Cheng-Hsuan Wang, Daryi Chou, Chu-Yang Sci Rep Article Over the past decades, one main issue that has emerged in ecological and environmental research is how losses in biodiversity influence ecosystem dynamics and functioning, and consequently human society. Although biodiversity is a common indicator of ecosystem functioning, it is difficult to measure biodiversity in microbial communities exposed to subtle or chronic environmental perturbations. Consequently, there is a need for alternative bioindicators to detect, measure, and monitor gradual changes in microbial communities against these slight, chronic, and continuous perturbations. In this study, microbial networks before and after subtle perturbations by adding S. acidaminiphila showed diverse topological niches and 4-node motifs in which microbes with co-occurrence patterns played the central roles in regulating and adjusting the intertwined relationships among microorganisms in response to the subtle environmental changes. This study demonstrates that microbial networks are a good bioindicator for chronic perturbation and should be applied in a variety of ecological investigations. Nature Publishing Group UK 2020-11-11 /pmc/articles/PMC7659003/ /pubmed/33177547 http://dx.doi.org/10.1038/s41598-020-73920-5 Text en © The Author(s) 2020 Open Access This 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/. |
spellingShingle | Article Shaw, Grace Tzun-Wen Liu, An-Chi Weng, Chieh-Yin Chen, Yi-Chun Chen, Cheng-Yu Weng, Francis Cheng-Hsuan Wang, Daryi Chou, Chu-Yang A network-based approach to deciphering a dynamic microbiome’s response to a subtle perturbation |
title | A network-based approach to deciphering a dynamic microbiome’s response to a subtle perturbation |
title_full | A network-based approach to deciphering a dynamic microbiome’s response to a subtle perturbation |
title_fullStr | A network-based approach to deciphering a dynamic microbiome’s response to a subtle perturbation |
title_full_unstemmed | A network-based approach to deciphering a dynamic microbiome’s response to a subtle perturbation |
title_short | A network-based approach to deciphering a dynamic microbiome’s response to a subtle perturbation |
title_sort | network-based approach to deciphering a dynamic microbiome’s response to a subtle perturbation |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7659003/ https://www.ncbi.nlm.nih.gov/pubmed/33177547 http://dx.doi.org/10.1038/s41598-020-73920-5 |
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