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Species dynamics in natural bacterial communities over multiple rounds of propagation

Our experimental work illustrates how microbial ecosystems can be shaped by selective pressures over long‐term ecological time scales. Natural microbial ecosystems generally consist of various co‐existing species, where community composition describes the frequency at which species or types are pres...

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Autores principales: Groenenboom, Anneloes E., van den Heuvel, Joost, Zwaan, Bas J., Smid, Eddy J., Schoustra, Sijmen E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9679247/
https://www.ncbi.nlm.nih.gov/pubmed/36426121
http://dx.doi.org/10.1111/eva.13470
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author Groenenboom, Anneloes E.
van den Heuvel, Joost
Zwaan, Bas J.
Smid, Eddy J.
Schoustra, Sijmen E.
author_facet Groenenboom, Anneloes E.
van den Heuvel, Joost
Zwaan, Bas J.
Smid, Eddy J.
Schoustra, Sijmen E.
author_sort Groenenboom, Anneloes E.
collection PubMed
description Our experimental work illustrates how microbial ecosystems can be shaped by selective pressures over long‐term ecological time scales. Natural microbial ecosystems generally consist of various co‐existing species, where community composition describes the frequency at which species or types are present. Overall functionality of the system is achieved by interacting species. Upon short‐term selection, for instance by transfer to a novel environment, community composition and functionality may change in a process referred to as species sorting. Various factors, such as initial community composition and selective pressures from the environment, may influence this change. Mabisi is a traditional fermented food from Zambia that naturally contains a bacterial community of around twenty unique bacterial types. We used six comparable but different natural bacterial Mabisi communities, each split into five identical replicates, for 16 propagation cycles in a novel, common laboratory environment. Composition of the bacterial communities changed upon propagation. The influence of four main factors on community composition, i.e. initial composition (history), impact of the environment (adaptation), changes due to interaction between species and random processes (chance) in species dynamics, was tested using maximum likelihood ratios. Initial community composition seemed to determine the change in community composition, followed by random processes. Interestingly, we observed convergence at the level of ecosystem functionality, which was measured as profiles of metabolic output. This suggests different combinations of species or types can achieve similar eco‐system functionality.
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spelling pubmed-96792472022-11-23 Species dynamics in natural bacterial communities over multiple rounds of propagation Groenenboom, Anneloes E. van den Heuvel, Joost Zwaan, Bas J. Smid, Eddy J. Schoustra, Sijmen E. Evol Appl Original Articles Our experimental work illustrates how microbial ecosystems can be shaped by selective pressures over long‐term ecological time scales. Natural microbial ecosystems generally consist of various co‐existing species, where community composition describes the frequency at which species or types are present. Overall functionality of the system is achieved by interacting species. Upon short‐term selection, for instance by transfer to a novel environment, community composition and functionality may change in a process referred to as species sorting. Various factors, such as initial community composition and selective pressures from the environment, may influence this change. Mabisi is a traditional fermented food from Zambia that naturally contains a bacterial community of around twenty unique bacterial types. We used six comparable but different natural bacterial Mabisi communities, each split into five identical replicates, for 16 propagation cycles in a novel, common laboratory environment. Composition of the bacterial communities changed upon propagation. The influence of four main factors on community composition, i.e. initial composition (history), impact of the environment (adaptation), changes due to interaction between species and random processes (chance) in species dynamics, was tested using maximum likelihood ratios. Initial community composition seemed to determine the change in community composition, followed by random processes. Interestingly, we observed convergence at the level of ecosystem functionality, which was measured as profiles of metabolic output. This suggests different combinations of species or types can achieve similar eco‐system functionality. John Wiley and Sons Inc. 2022-10-25 /pmc/articles/PMC9679247/ /pubmed/36426121 http://dx.doi.org/10.1111/eva.13470 Text en © 2022 The Authors. Evolutionary Applications published by John Wiley & Sons Ltd. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Articles
Groenenboom, Anneloes E.
van den Heuvel, Joost
Zwaan, Bas J.
Smid, Eddy J.
Schoustra, Sijmen E.
Species dynamics in natural bacterial communities over multiple rounds of propagation
title Species dynamics in natural bacterial communities over multiple rounds of propagation
title_full Species dynamics in natural bacterial communities over multiple rounds of propagation
title_fullStr Species dynamics in natural bacterial communities over multiple rounds of propagation
title_full_unstemmed Species dynamics in natural bacterial communities over multiple rounds of propagation
title_short Species dynamics in natural bacterial communities over multiple rounds of propagation
title_sort species dynamics in natural bacterial communities over multiple rounds of propagation
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9679247/
https://www.ncbi.nlm.nih.gov/pubmed/36426121
http://dx.doi.org/10.1111/eva.13470
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