Evidence map›Paper›PMID 34949814›Full record

ArticleNature ecology & evolution2022

Natural selection for imprecise vertical transmission in host-microbiota systems.

Marjolein Bruijning, Lucas P Henry, Simon K G Forsberg, C Jessica E Metcalf, Julien F Ayroles

Erratum issuedAbstract read
In one paragraph

Article in Nature ecology & evolution, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing 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

36 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Plasticity in climate change responses.Biological reviews of the Cambridge Philosophical Society · 2025
    Review
  10. Quantitative genetics of microbiome-mediated traits.Evolution; international journal of organic evolution · 2025
    Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Ecology and evolution · 2024
    Article
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Marjolein BruijningDepartment of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ, USA. mbruijning@princeton.edu.ORCID http://orcid.org/0000-0002-9408-2187
Lucas P HenryDepartment of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ, USA.ORCID http://orcid.org/0000-0002-3130-4643
Simon K G ForsbergDepartment of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ, USA.ORCID http://orcid.org/0000-0002-7451-9222
C Jessica E MetcalfDepartment of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ, USA.ORCID http://orcid.org/0000-0003-3166-7521
Julien F AyrolesDepartment of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ, USA.

Funding

A path to personalized phenotypic prediction: unlocking the context-dependency of allelic effectsR35GM124881 · NIGMS · UNIVERSITY OF CALIFORNIA BERKELEY · PI Julien Ayroles · 2017 to 2026
$3.7M
NIGMS NIH HHS R35 GM124881
6 · The paper itself

Abstract

How and when the microbiome modulates host adaptation remains an evolutionary puzzle, despite evidence that the extended genetic repertoire of the microbiome can shape host phenotypes and fitness. One complicating factor is that the microbiome is often transmitted imperfectly across host generations, leading to questions about the degree to which the microbiome contributes to host adaptation. Here, using an evolutionary model, we demonstrate that decreasing vertical transmission fidelity can increase microbiome variation, and thus phenotypic variation, across hosts. When the most beneficial microbial genotypes change unpredictably from one generation to the next (for example, in variable environments), hosts can maximize fitness by increasing the microbiome variation among offspring, as this improves the chance of there being an offspring with the right microbial combination for the next generation. Imperfect vertical transmission can therefore be adaptive in varying environments. We characterize how selection on vertical transmission is shaped by environmental conditions, microbiome changes during host development and the contribution of other factors to trait variation. We illustrate how environmentally dependent microbial effects can favour intermediate transmission and set our results in the context of examples from natural systems. We also suggest research avenues to empirically test our predictions. Our model provides a basis to understand the evolutionary pathways that potentially led to the wide diversity of microbe transmission patterns found in nature.

Indexed as

MicrobiotaBiological EvolutionPhenotypeSelection, Genetic

Identifiers

PMID34949814
PMCPMC9901532

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Registered trials

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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.