Evidence map›Paper›PMID 40921767›Full record

ReviewNature ecology & evolution2025

Applying evolutionary theory to understand host-microbiome evolution.

Bob Week, Shelbi L Russell, Hinrich Schulenburg, Brendan J M Bohannan, Marjolein Bruijning

Abstract readReview
In one paragraph

Review in Nature ecology & evolution, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

  1. Article
  2. Microbial Contributions to Primate Reproduction.Evolutionary anthropology · 2026
    Review
  3. Article
  4. Review
  5. Quantitative genetics of microbiome-mediated traits.Evolution; international journal of organic evolution · 2025
    Article
  6. Dynamics of dN/dS within recombining bacterial populations.bioRxiv : the preprint server for biology · 2025
    Article
  7. Review
  8. Metabolic modeling of host-microbe interactions.Computational and structural biotechnology journal · 2025
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Bob WeekInstitute of Ecology and Evolution, Department of Biology, University of Oregon, Eugene, OR, USA.ORCID http://orcid.org/0000-0001-7687-4757
Shelbi L RussellDepartment of Biomolecular Engineering, University of California Santa Cruz, Santa Cruz, CA, USA.
Hinrich SchulenburgZoological Institute, Kiel University, Kiel, Germany.ORCID http://orcid.org/0000-0002-1413-913X
Brendan J M BohannanInstitute of Ecology and Evolution, Department of Biology, University of Oregon, Eugene, OR, USA.ORCID http://orcid.org/0000-0003-2907-1016
Marjolein BruijningInstitute for Biodiversity and Ecosystem Dynamics, University of Amsterdam, Amsterdam, the Netherlands. m.bruijning@uva.nl.ORCID http://orcid.org/0000-0002-9408-2187

Funding

Live Imaging CoreP01GM125576 · NIGMS · UNIVERSITY OF OREGON · PI GUILLEMIN, KAREN J · 2018 to 2022
$7.8M
Cellular mechanisms of endosymbiont transmission between host generationsR00GM135583 · NIGMS · UNIVERSITY OF CALIFORNIA SANTA CRUZ · PI RUSSELL, SHELBI LIANNE · 2022 to 2024
$747k
Functional genetic basis of Wolbachia-Drosophila endosymbiosisR35GM157189 · NIGMS · UNIVERSITY OF CALIFORNIA SANTA CRUZ · PI Shelbi Lianne Russell · 2025 to 2026
$584k
NIGMS NIH HHS P01 GM125576NIGMS NIH HHS R00 GM135583NIGMS NIH HHS R35 GM157189
6 · The paper itself

Abstract

All plants and animals are host to a community of microorganisms, their microbiotas, which have crucial influences on the life history and performance of their hosts. Despite the importance of such host-microbiota relationships, relatively little is known about the role microbiotas have in mediating evolution of the host and entire host-microbe assemblages. This knowledge gap is partly due to the lack of theoretical frameworks that generate testable predictions on the evolutionary dynamics of host-microbiota systems. In this Perspective, we argue that the foundation for such frameworks exists in evolutionary theory. We highlight four examples of theoretical models-niche construction, indirect genetic effects, maternal effects and multilevel selection-that capture important aspects of host-microbiome evolution. We outline how each of these frameworks can provide key insights into the evolution of host-microbiota systems while also suggesting expansions of current theory to incorporate processes unique to host-microbe assemblages; for instance, focusing on nuances in microbiota transmission and ecological microbial community dynamics. Expanding evolutionary theory to accommodate host-microbiota associations is key for a more integrative understanding of evolution, and the approach outlined here can guide future empirical research on the function and evolution of these ubiquitous interactions.

Indexed as

Biological EvolutionHost Microbial InteractionsMicrobiotaAnimals

Identifiers

PMID40921767
PMCPMC12702293

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.