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  Ecological drivers of community cohesion

Gokhale, C. S., Velasque, M., & Denton, J. A. (2023). Ecological drivers of community cohesion. mSystems, 8(1): e00929-22. doi:10.1128/msystems.00929-22.

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msystems.00929-22.pdf (Publisher version), 4MB
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msystems.00929-22.pdf
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Copyright Date:
2023
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Copyright © 2023 Gokhale et al. T

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https://github.com/tecoevo/ecoblocs (Research data)
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 Creators:
Gokhale, Chaitanya S.1, Author                 
Velasque, Mariana, Author
Denton, Jai A., Author
Affiliations:
1Research Group Theoretical Models of Eco-Evolutionary Dynamics, Department Evolutionary Theory, Max Planck Institute for Evolutionary Biology, Max Planck Society, ou_2355692              

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Free keywords: mutualism; evolutionary dynamics; ecological processes; persistence; cycling; ecology; microbial systems; synthetic biology; theoretical biology
 Abstract: From protocellular to societal, networks of living systems are complex and multiscale. Discerning the factors that facilitate assembly of these intricate interdependencies using pairwise interactions can be nearly impossible. To facilitate a greater understanding, we developed a mathematical and computational model based on a synthetic four-strain Saccharomyces cerevisiae interdependent system. Specifically, we aimed to provide a greater understanding of how ecological factors influence community dynamics. By leveraging transiently structured ecologies, we were able to drive community cohesion. We show how ecological interventions could reverse or slow the extinction rate of a cohesive community. An interconnected system first needs to persist long enough to be a subject of natural selection. Our emulation of Darwin’s “warm little ponds” with an ecology governed by transient compartmentalization provided the necessary persistence. Our results reveal utility across scales of organization, stressing the importance of cyclic processes in major evolutionary transitions, engineering of synthetic microbial consortia, and conservation biology.

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Language(s): eng - English
 Dates: 2022-09-272022-12-162023-01-192023-02-23
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1128/msystems.00929-22
 Degree: -

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Title: mSystems
Source Genre: Journal
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Publ. Info: American Society for Microbiology
Pages: - Volume / Issue: 8 (1) Sequence Number: e00929-22 Start / End Page: - Identifier: ISSN: 2379-5077
CoNE: https://pure.mpg.de/cone/journals/resource/2379-5077