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Models of microbiome evolution incorporating host and microbial selection

BACKGROUND: Numerous empirical studies suggest that hosts and microbes exert reciprocal selective effects on their ecological partners. Nonetheless, we still lack an explicit framework to model the dynamics of both hosts and microbes under selection. In a previous study, we developed an agent-based...

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Autores principales: Zeng, Qinglong, Wu, Steven, Sukumaran, Jeet, Rodrigo, Allen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5613328/
https://www.ncbi.nlm.nih.gov/pubmed/28946894
http://dx.doi.org/10.1186/s40168-017-0343-x
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author Zeng, Qinglong
Wu, Steven
Sukumaran, Jeet
Rodrigo, Allen
author_facet Zeng, Qinglong
Wu, Steven
Sukumaran, Jeet
Rodrigo, Allen
author_sort Zeng, Qinglong
collection PubMed
description BACKGROUND: Numerous empirical studies suggest that hosts and microbes exert reciprocal selective effects on their ecological partners. Nonetheless, we still lack an explicit framework to model the dynamics of both hosts and microbes under selection. In a previous study, we developed an agent-based forward-time computational framework to simulate the neutral evolution of host-associated microbial communities in a constant-sized, unstructured population of hosts. These neutral models allowed offspring to sample microbes randomly from parents and/or from the environment. Additionally, the environmental pool of available microbes was constituted by fixed and persistent microbial OTUs and by contributions from host individuals in the preceding generation. METHODS: In this paper, we extend our neutral models to allow selection to operate on both hosts and microbes. We do this by constructing a phenome for each microbial OTU consisting of a sample of traits that influence host and microbial fitnesses independently. Microbial traits can influence the fitness of hosts (“host selection”) and the fitness of microbes (“trait-mediated microbial selection”). Additionally, the fitness effects of traits on microbes can be modified by their hosts (“host-mediated microbial selection”). We simulate the effects of these three types of selection, individually or in combination, on microbiome diversities and the fitnesses of hosts and microbes over several thousand generations of hosts. RESULTS: We show that microbiome diversity is strongly influenced by selection acting on microbes. Selection acting on hosts only influences microbiome diversity when there is near-complete direct or indirect parental contribution to the microbiomes of offspring. Unsurprisingly, microbial fitness increases under microbial selection. Interestingly, when host selection operates, host fitness only increases under two conditions: (1) when there is a strong parental contribution to microbial communities or (2) in the absence of a strong parental contribution, when host-mediated selection acts on microbes concomitantly. CONCLUSIONS: We present a computational framework that integrates different selective processes acting on the evolution of microbiomes. Our framework demonstrates that selection acting on microbes can have a strong effect on microbial diversities and fitnesses, whereas selection on hosts can have weaker outcomes. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s40168-017-0343-x) contains supplementary material, which is available to authorized users.
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spelling pubmed-56133282017-10-11 Models of microbiome evolution incorporating host and microbial selection Zeng, Qinglong Wu, Steven Sukumaran, Jeet Rodrigo, Allen Microbiome Research BACKGROUND: Numerous empirical studies suggest that hosts and microbes exert reciprocal selective effects on their ecological partners. Nonetheless, we still lack an explicit framework to model the dynamics of both hosts and microbes under selection. In a previous study, we developed an agent-based forward-time computational framework to simulate the neutral evolution of host-associated microbial communities in a constant-sized, unstructured population of hosts. These neutral models allowed offspring to sample microbes randomly from parents and/or from the environment. Additionally, the environmental pool of available microbes was constituted by fixed and persistent microbial OTUs and by contributions from host individuals in the preceding generation. METHODS: In this paper, we extend our neutral models to allow selection to operate on both hosts and microbes. We do this by constructing a phenome for each microbial OTU consisting of a sample of traits that influence host and microbial fitnesses independently. Microbial traits can influence the fitness of hosts (“host selection”) and the fitness of microbes (“trait-mediated microbial selection”). Additionally, the fitness effects of traits on microbes can be modified by their hosts (“host-mediated microbial selection”). We simulate the effects of these three types of selection, individually or in combination, on microbiome diversities and the fitnesses of hosts and microbes over several thousand generations of hosts. RESULTS: We show that microbiome diversity is strongly influenced by selection acting on microbes. Selection acting on hosts only influences microbiome diversity when there is near-complete direct or indirect parental contribution to the microbiomes of offspring. Unsurprisingly, microbial fitness increases under microbial selection. Interestingly, when host selection operates, host fitness only increases under two conditions: (1) when there is a strong parental contribution to microbial communities or (2) in the absence of a strong parental contribution, when host-mediated selection acts on microbes concomitantly. CONCLUSIONS: We present a computational framework that integrates different selective processes acting on the evolution of microbiomes. Our framework demonstrates that selection acting on microbes can have a strong effect on microbial diversities and fitnesses, whereas selection on hosts can have weaker outcomes. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s40168-017-0343-x) contains supplementary material, which is available to authorized users. BioMed Central 2017-09-25 /pmc/articles/PMC5613328/ /pubmed/28946894 http://dx.doi.org/10.1186/s40168-017-0343-x Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Zeng, Qinglong
Wu, Steven
Sukumaran, Jeet
Rodrigo, Allen
Models of microbiome evolution incorporating host and microbial selection
title Models of microbiome evolution incorporating host and microbial selection
title_full Models of microbiome evolution incorporating host and microbial selection
title_fullStr Models of microbiome evolution incorporating host and microbial selection
title_full_unstemmed Models of microbiome evolution incorporating host and microbial selection
title_short Models of microbiome evolution incorporating host and microbial selection
title_sort models of microbiome evolution incorporating host and microbial selection
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5613328/
https://www.ncbi.nlm.nih.gov/pubmed/28946894
http://dx.doi.org/10.1186/s40168-017-0343-x
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