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  Eco-evolutionary dynamics of nested Darwinian populations and the emergence of community-level heredity

Doulcier, G., Lambert, A., De Monte, S., & Rainey, P. B. (2020). Eco-evolutionary dynamics of nested Darwinian populations and the emergence of community-level heredity. eLife, 9: e53433. doi:10.7554/eLife.53433.

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 Creators:
Doulcier, Guilhem1, Author              
Lambert, Amaury, Author
De Monte, Silvia2, Author              
Rainey, Paul B.3, Author              
Affiliations:
1Department Evolutionary Theory, Max Planck Institute for Evolutionary Biology, Max Planck Society, ou_1445641              
2Research Group Dynamics of Microbial Collectives, Department Evolutionary Theory, Max Planck Institute for Evolutionary Biology, Max Planck Society, ou_3016582              
3Department Microbial Population Biology, Max Planck Institute for Evolutionary Biology, Max Planck Society, ou_2421699              

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 Abstract: Interactions among microbial cells can generate new chemistries and functions, but exploitation requires establishment of communities that reliably recapitulate community-level phenotypes. Using mechanistic mathematical models, we show how simple manipulations to population structure can exogenously impose Darwinian-like properties on communities. Such imposition causes communities to participate directly in the process of evolution by natural selection and drives the evolution of cell-level interactions to the point where, despite underlying stochasticity, derived communities give rise to offspring communities that faithfully re-establish parental phenotype. The mechanism (developmental correction) is akin to a developmental process that arises from density dependent interactions among cells. Knowledge of ecological factors affecting evolution of developmental correction has implications for understanding the evolutionary origin of egalitarian transitions in individuality, symbioses, and for top-down engineering of microbial communities.

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Language(s): eng - English
 Dates: 2019-11-072020-06-122020-07-07
 Publication Status: Published online
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 Identifiers: DOI: 10.7554/eLife.53433
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Title: eLife
Source Genre: Journal
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Publ. Info: Cambridge : eLife Sciences Publications
Pages: - Volume / Issue: 9 Sequence Number: e53433 Start / End Page: - Identifier: ISSN: 2050-084X
CoNE: https://pure.mpg.de/cone/journals/resource/2050-084X