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  Stochastic colonization of hosts with a finite lifespan can drive individual host microbes out of equilibrium

Zapién-Campos, R., Sieber, M., & Traulsen, A. (2020). Stochastic colonization of hosts with a finite lifespan can drive individual host microbes out of equilibrium. PLoS Computational Biology, 16(11): e1008392. doi:10.1371/journal.pcbi.1008392.

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Item Permalink: http://hdl.handle.net/21.11116/0000-0007-6E38-0 Version Permalink: http://hdl.handle.net/21.11116/0000-0007-6E39-F
Genre: Journal Article

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Zapién-Campos, Román1, 2, Author              
Sieber, Michael1, Author              
Traulsen, Arne1, Author              
Affiliations:
1Department Evolutionary Theory, Max Planck Institute for Evolutionary Biology, Max Planck Society, ou_1445641              
2IMPRS for Evolutionary Biology, Max Planck Institute for Evolutionary Biology, Max Planck Society, ou_1445639              

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Free keywords: Microbiome, Probability distribution, Caenorhabditis elegans, Simulation and modeling, Drosophila melanogaster, Zebrafish, Animal migration, Community ecology
 Abstract: Author summary Microbial communities are prevalent not only in the environment but also in hosts. Although the drivers of environmental microbiomes have been studied extensively, less is known about the drivers distinguishing a host environment. Recent experimental observations have highlighted the influence of ecological drift in hosts with short lifespan, including model organisms like C. elegans, D. melanogaster and D. rerio. We have developed a theoretical model to study the effect of a finite host lifespan on relevant observables of the microbiome, including the microbial load, probability of colonization of a microbial taxon, and distribution of microbiome composition in a host population. Although we focus on a case free of any selection, our results indicate the possible coexistence of hosts with alternative microbiome composition, and to a larger extent the coexistence of colonized and microbe-free hosts. A quantitative description is provided.

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Language(s): eng - English
 Dates: 2020-02-122020-09-022020-11-022020-11
 Publication Status: Published in print
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 Identifiers: DOI: 10.1371/journal.pcbi.1008392
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Title: PLoS Computational Biology
Source Genre: Journal
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Publ. Info: San Francisco, CA : Public Library of Science
Pages: - Volume / Issue: 16 (11) Sequence Number: e1008392 Start / End Page: - Identifier: ISSN: 1553-734X
CoNE: https://pure.mpg.de/cone/journals/resource/1000000000017180_1