Evidence map›Paper›PMID 38835275›Full record

ArticleProceedings. Biological sciences2024

Pleiotropy alleviates the fitness costs associated with resource allocation trade-offs in immune signalling networks.

Reese A Martin, Ann T Tate

Abstract read
In one paragraph

Article in Proceedings. Biological sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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  3. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Reese A MartinDepartment of Biological Sciences, Vanderbilt University, Nashville, TN 37235, USA.ORCID 0000-0002-9953-8374
Ann T TateDepartment of Biological Sciences, Vanderbilt University, Nashville, TN 37235, USA.ORCID 0000-0001-6601-0234

Funding

The influence of coevolutionary feedbacks on the origins and maintenance of genetic pleiotropyR35GM138007 · NIGMS · VANDERBILT UNIVERSITY · PI Ann Thomas Tate · 2020 to 2026
$2.8M
NIGMS NIH HHS R35 GM138007
6 · The paper itself

Abstract

Many genes and signalling pathways within plant and animal taxa drive the expression of multiple organismal traits. This form of genetic pleiotropy instigates trade-offs among life-history traits if a mutation in the pleiotropic gene improves the fitness contribution of one trait at the expense of another. Whether or not pleiotropy gives rise to conflict among traits, however, likely depends on the resource costs and timing of trait deployment during organismal development. To investigate factors that could influence the evolutionary maintenance of pleiotropy in gene networks, we developed an agent-based model of co-evolution between parasites and hosts. Hosts comprise signalling networks that must faithfully complete a developmental programme while also defending against parasites, and trait signalling networks could be independent or share a pleiotropic component as they evolved to improve host fitness. We found that hosts with independent developmental and immune networks were significantly more fit than hosts with pleiotropic networks when traits were deployed asynchronously during development. When host genotypes directly competed against each other, however, pleiotropic hosts were victorious regardless of trait synchrony because the pleiotropic networks were more robust to parasite manipulation, potentially explaining the abundance of pleiotropy in immune systems despite its contribution to life history trade-offs.

Indexed as

Genetic PleiotropySignal TransductionAnimalsBiological EvolutionGenetic FitnessHost-Parasite InteractionsResource Allocationcoevolutionevolutionary immunologyhost–parasite interactionslife history trade-offsnetwork robustness

Identifiers

PMID38835275
PMCPMC11286129

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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.