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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...

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Detalles Bibliográficos
Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
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
Descripción
Sumario: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.