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Stabilizing microbial communities by looped mass transfer
Building and changing a microbiome at will and maintaining it over hundreds of generations has so far proven challenging. Despite best efforts, complex microbiomes appear to be susceptible to large stochastic fluctuations. Current capabilities to assemble and control stable complex microbiomes are l...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
National Academy of Sciences
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9169928/ https://www.ncbi.nlm.nih.gov/pubmed/35446625 http://dx.doi.org/10.1073/pnas.2117814119 |
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author | Li, Shuang Abdulkadir, Nafi'u Schattenberg, Florian Nunes da Rocha, Ulisses Grimm, Volker Müller, Susann Liu, Zishu |
author_facet | Li, Shuang Abdulkadir, Nafi'u Schattenberg, Florian Nunes da Rocha, Ulisses Grimm, Volker Müller, Susann Liu, Zishu |
author_sort | Li, Shuang |
collection | PubMed |
description | Building and changing a microbiome at will and maintaining it over hundreds of generations has so far proven challenging. Despite best efforts, complex microbiomes appear to be susceptible to large stochastic fluctuations. Current capabilities to assemble and control stable complex microbiomes are limited. Here, we propose a looped mass transfer design that stabilizes microbiomes over long periods of time. Five local microbiomes were continuously grown in parallel for over 114 generations and connected by a loop to a regional pool. Mass transfer rates were altered and microbiome dynamics were monitored using quantitative high-throughput flow cytometry and taxonomic sequencing of whole communities and sorted subcommunities. Increased mass transfer rates reduced local and temporal variation in microbiome assembly, did not affect functions, and overcame stochasticity, with all microbiomes exhibiting high constancy and increasing resistance. Mass transfer synchronized the structures of the five local microbiomes and nestedness of certain cell types was eminent. Mass transfer increased cell number and thus decreased net growth rates [Formula: see text]. Subsets of cells that did not show net growth [Formula: see text] were rescued by the regional pool R and thus remained part of the microbiome. The loop in mass transfer ensured the survival of cells that would otherwise go extinct, even if they did not grow in all local microbiomes or grew more slowly than the actual dilution rate [Formula: see text] would allow. The rescue effect, known from metacommunity theory, was the main stabilizing mechanism leading to synchrony and survival of subcommunities, despite differences in cell physiological properties, including growth rates. |
format | Online Article Text |
id | pubmed-9169928 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | National Academy of Sciences |
record_format | MEDLINE/PubMed |
spelling | pubmed-91699282022-10-21 Stabilizing microbial communities by looped mass transfer Li, Shuang Abdulkadir, Nafi'u Schattenberg, Florian Nunes da Rocha, Ulisses Grimm, Volker Müller, Susann Liu, Zishu Proc Natl Acad Sci U S A Biological Sciences Building and changing a microbiome at will and maintaining it over hundreds of generations has so far proven challenging. Despite best efforts, complex microbiomes appear to be susceptible to large stochastic fluctuations. Current capabilities to assemble and control stable complex microbiomes are limited. Here, we propose a looped mass transfer design that stabilizes microbiomes over long periods of time. Five local microbiomes were continuously grown in parallel for over 114 generations and connected by a loop to a regional pool. Mass transfer rates were altered and microbiome dynamics were monitored using quantitative high-throughput flow cytometry and taxonomic sequencing of whole communities and sorted subcommunities. Increased mass transfer rates reduced local and temporal variation in microbiome assembly, did not affect functions, and overcame stochasticity, with all microbiomes exhibiting high constancy and increasing resistance. Mass transfer synchronized the structures of the five local microbiomes and nestedness of certain cell types was eminent. Mass transfer increased cell number and thus decreased net growth rates [Formula: see text]. Subsets of cells that did not show net growth [Formula: see text] were rescued by the regional pool R and thus remained part of the microbiome. The loop in mass transfer ensured the survival of cells that would otherwise go extinct, even if they did not grow in all local microbiomes or grew more slowly than the actual dilution rate [Formula: see text] would allow. The rescue effect, known from metacommunity theory, was the main stabilizing mechanism leading to synchrony and survival of subcommunities, despite differences in cell physiological properties, including growth rates. National Academy of Sciences 2022-04-21 2022-04-26 /pmc/articles/PMC9169928/ /pubmed/35446625 http://dx.doi.org/10.1073/pnas.2117814119 Text en Copyright © 2022 the Author(s). Published by PNAS. https://creativecommons.org/licenses/by-nc-nd/4.0/This article is distributed under Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND) (https://creativecommons.org/licenses/by-nc-nd/4.0/) . |
spellingShingle | Biological Sciences Li, Shuang Abdulkadir, Nafi'u Schattenberg, Florian Nunes da Rocha, Ulisses Grimm, Volker Müller, Susann Liu, Zishu Stabilizing microbial communities by looped mass transfer |
title | Stabilizing microbial communities by looped mass transfer |
title_full | Stabilizing microbial communities by looped mass transfer |
title_fullStr | Stabilizing microbial communities by looped mass transfer |
title_full_unstemmed | Stabilizing microbial communities by looped mass transfer |
title_short | Stabilizing microbial communities by looped mass transfer |
title_sort | stabilizing microbial communities by looped mass transfer |
topic | Biological Sciences |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9169928/ https://www.ncbi.nlm.nih.gov/pubmed/35446625 http://dx.doi.org/10.1073/pnas.2117814119 |
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