Evidence map›Paper›PMID 41081303›Full record

ArticleMolecular ecology2025

Host Transcriptomics Reveal Reduction in Defence-Reproduction Trade-Offs During Coinfection.

Ian Will, Emily J Stevens, Kayla C King, Kieran A Bates

Abstract read
In one paragraph

Article in Molecular ecology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

4 authors.

Ian WillDepartment of Biology, University of Oxford, Oxford, UK.ORCID 0000-0002-2396-6778
Emily J StevensDepartment of Biology, University of Oxford, Oxford, UK.ORCID 0000-0002-5299-4401
Kayla C KingDepartment of Biology, University of Oxford, Oxford, UK.ORCID 0000-0003-1393-9220
Kieran A BatesDepartment of Biology, University of Oxford, Oxford, UK.ORCID 0000-0003-1559-6014

Funding

European Research Council 802242Natural Environment Research Council NE/X000540/1Natural Environment Research Council Environmental Omics Facility 1318St. Hilda's College, University of OxfordUniversity of Liverpool
6 · The paper itself

Abstract

During infection, hosts may shift resources away from reproduction towards immune defence. It is unclear to what degree these costly trade-offs can be alleviated during protective coinfections, whereby antagonism between parasites reduces disease severity. We used transcriptomics to assess the extent to which host gene expression reflected the effect of protection and whether reducing or increasing investment in immunity carried costs to reproduction. Virulent infections by Leucobacter musarum bacteria elicited greater trade-offs in nematode hosts compared to the naturally coinfecting 'protective parasite' Leucobacter celer. We further found that coinfection attenuated host investment in pro-immune trade-offs, without significantly changing which host genes were involved. We then sought to understand if this attenuated host response would be consistent with possible mechanisms of inter-parasite competition. Our chromosome length genome assemblies for both parasite species revealed that protective coinfection may operate by competition for public goods, such as siderophore-mediated uptake of metal ions (e.g., iron) or colonisation of the host cuticle. Ultimately, we show that competition between coinfecting parasites can complement endogenous host defences and ease the reproductive costs of fighting harmful infection.

Indexed as

CoinfectionTranscriptomeAnimalsGene Expression ProfilingHost-Pathogen InteractionsReproductionCaenorhabditisdefencediseaseLeucobacterparasitestrade‐offs

Identifiers

PMID41081303
PMCPMC12573734

What OpenQuestion holds

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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.