Quantitative genetics of microbiome-mediated traits

Multicellular organisms host a rich assemblage of associated microorganisms, collectively known as their "microbiomes." Microbiomes have the capacity to influence their hosts' fitnesses, but the conditions under which such influences contribute to evolution are not clear. This is due in part to a lack of a comprehensive theoretical framework for describing the combined effects of host and associated microbes on phenotypic variation. Here, we address this gap by extending the foundations of quantitative genetic theory to include host-associated microbes, as well as alleles of hosts, as factors that explain quantitative host trait variation. We introduce a way to partition host-associated microbiomes into components relevant for predicting a microbiome-mediated response to selection. We then apply our general framework to a simulation model of microbiome inheritance to illustrate principles for predicting host trait dynamics, and to generalize classical narrow- and broad-sense heritabilities to account for microbial effects. We demonstrate that microbiome-mediated responses to host-level selection can arise from various transmission modes, not solely vertical, but that the contribution of non-vertical modes can depend strongly on host life history. Our work lays a foundation for integrating microbiome-mediated host variation and adaptation into our understanding of natural variation.

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Publication Details

Journal
Evolution
Published
2025-08-29
DOI
https://doi.org/10.1093/evolut/qpaf171
Citations
2
Primary Topic
Gut microbiota and health
Type
article
Field-Weighted Citation Impact
1.61
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article

Quantitative genetics of microbiome-mediated traits

Peter L. Ralph, Brendan J. M. Bohannan, William A. Cresko, Hannah F. Tavalire et al.
2 citations
Evolution
Gut microbiota and health
1.61
article

Quantitative genetics of microbiome-mediated traits

Peter L. Ralph, Brendan J. M. Bohannan, William A. Cresko, Hannah F. Tavalire, Bob Week
article en
2 citations

Abstract

Multicellular organisms host a rich assemblage of associated microorganisms, collectively known as their "microbiomes." Microbiomes have the capacity to influence their hosts' fitnesses, but the conditions under which such influences contribute to evolution are not clear. This is due in part to a lack of a comprehensive theoretical framework for describing the combined effects of host and associated microbes on phenotypic variation. Here, we address this gap by extending the foundations of quantitative genetic theory to include host-associated microbes, as well as alleles of hosts, as factors that explain quantitative host trait variation. We introduce a way to partition host-associated microbiomes into components relevant for predicting a microbiome-mediated response to selection. We then apply our general framework to a simulation model of microbiome inheritance to illustrate principles for predicting host trait dynamics, and to generalize classical narrow- and broad-sense heritabilities to account for microbial effects. We demonstrate that microbiome-mediated responses to host-level selection can arise from various transmission modes, not solely vertical, but that the contribution of non-vertical modes can depend strongly on host life history. Our work lays a foundation for integrating microbiome-mediated host variation and adaptation into our understanding of natural variation.

EvolutionVol. 79(11)
Aurora Health Care (US), University of Oregon (US), Hochschule für Angewandte Wissenschaften Kiel (DE), Christian-Albrechts-Universität zu Kiel (DE), Oregon Center For Applied Science (United States) (US), Max Planck Institute for Evolutionary Biology (DE)
Openalex Percentile: Top 15%
Gut microbiota and health
1.61
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Quantitative genetics of microbiome-mediated traits — Peter L. Ralph, Brendan J. M. Bohannan, et al. · Evolution (2025) | TGRS Research Map | TGRS