Evidence map›Paper›PMID 40920451›Full record

ArticleFEMS microbiology ecology2025

Within-host microbial selection and multiple microbial generations buffer the loss of host fitness under environmental change.

William S Pearman, Allen G Rodrigo, Anna W Santure

Abstract read
In one paragraph

Article in FEMS microbiology ecology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

William S PearmanUniversity of Auckland, School of Biological Sciences, 3A Symonds Street, Auckland 1142, New Zealand.ORCID 0000-0002-7265-8499
Allen G RodrigoUniversity of Auckland, School of Biological Sciences, 3A Symonds Street, Auckland 1142, New Zealand.ORCID 0000-0002-8327-7317
Anna W SantureUniversity of Auckland, School of Biological Sciences, 3A Symonds Street, Auckland 1142, New Zealand.

Funding

Ministry of Business, Innovation and Employment
6 · The paper itself

Abstract

The relationship between, and joint selection on, a host and its microbes-the holobiont-can impact evolutionary and ecological outcomes of the host and its microbial community. We develop an agent-based modelling framework for understanding the ecological dynamics of hosts and their microbiomes. Our model incorporates numerous microbial generations per host generation allowing selection on both host and microbes. We then explore host and microbiome fitness and diversity in response to environmental change. We demonstrate that multiple microbial generations can buffer changes experienced across host lifetimes by smoothing environmental transitions. Our simulations reveal that microbial fitness and host fitness are at odds with each other when considering the impact of vertical inheritance of microbial communities from a host to its offspring-where high parent-offspring microbial transmission favours microbial fitness, while low transmission favours host fitness. These tradeoffs are minimized when microbial generation count per host generation is high. This may arise from 'cross-generational priority effects' which maintain diversity within the community and can subsequently enable selection of beneficial microbes by the host. Our model is extensible into new areas of holobiont research and provides novel insights into holobiont evolution under variable environmental conditions.

Indexed as

Climatic ProcessesHost Microbial InteractionsMicrobiotaBiological EvolutionCulture MediaInfectionsCulture Mediacomputational modelevolutionholobionthost-microbiome interactionsmicrobiomeselectionsimulation

Identifiers

PMID40920451
PMCPMC12451448

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.