Is Host Filtering the Main Driver of Phylosymbiosis across the Tree of Life?

Author:

Mazel Florent12ORCID,Davis Katherine M.12,Loudon Andrew23,Kwong Waldan K.12,Groussin Mathieu45ORCID,Parfrey Laura Wegener123

Affiliation:

1. Department of Botany, University of British Columbia, Vancouver, British Columbia, Canada

2. Biodiversity Research Centre, University of British Columbia, Vancouver, British Columbia, Canada

3. Department of Zoology, University of British Columbia, Vancouver, British Columbia, Canada

4. Center for Microbiome Informatics and Therapeutics, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA

5. Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA

Abstract

Phylosymbiosis is a pattern defined as the tendency of closely related species to host microbiota whose compositions resemble each other more than host species drawn at random from the same tree. Understanding the mechanisms behind phylosymbiosis is important because it can shed light on rules governing the assembly of host-associated microbiotas and, potentially, their coevolutionary dynamics with hosts. For example, is phylosymbiosis a result of coevolution, or can it be generated by simple ecological filtering processes? Beyond qualitative theoretical models, quantitative theoretical expectations can provide new insights. For example, deviations from a simple baseline of ecological filtering may be used to test more-complex hypotheses (e.g., coevolution). Here, we use simulations to provide evidence that simple host-related ecological filtering can readily generate phylosymbiosis, and we contrast these predictions with real-world data. We find that while phylosymbiosis is widespread in nature, phylosymbiosis patterns are compatible with a simple ecological model in the majority of taxa. Internal compartments of hosts, such as the animal gut, often display stronger phylosymbiosis than expected from a purely ecological filtering process, suggesting that other mechanisms are also involved.

Publisher

American Society for Microbiology

Subject

Computer Science Applications,Genetics,Molecular Biology,Modelling and Simulation,Ecology, Evolution, Behavior and Systematics,Biochemistry,Physiology,Microbiology

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