Evidence map›Paper›PMID 42594179›Full record

ArticleG3 (Bethesda, Md.)2026

Signatures of selection in pleiotropic genes involved in insect neuronal and immune systems.

Sowmya Senthilkumar, Reese A Martin, Ann T Tate

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Article in G3 (Bethesda, Md.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Sowmya SenthilkumarDepartment of Biological Sciences, Vanderbilt University, Nashville, TN 37232, USA.
Reese A MartinDepartment of Biological Sciences, Vanderbilt University, Nashville, TN 37232, USA.
Ann T TateDepartment of Biological Sciences, Vanderbilt University, Nashville, TN 37232, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pleiotropy, where a single gene contributes to multiple biological functions, plays a central role in shaping evolutionary constraints. The nervous and immune systems are tightly integrated both functionally and genetically, but it is not clear whether pleiotropy constrains adaptation in each system or contributes to disease. Building on evidence that genes that are pleiotropic between development and immunity in Drosophila melanogaster evolve slower than immune-specific genes, we tested whether pleiotropic neuro-immune genes likewise evolve under stronger purifying selection compared to genes functioning solely in neuronal or immune processes, and whether such evolutionary constraint is associated with human neurological disease. We identified immune, neuronal, and neuro-immune genes in D. melanogaster using Gene Ontology annotations, estimated patterns of evolutionary constraint across 12 Drosophila species using dN/dS ratios, and investigated the breadth of their expression across developmental stages as a complementary proxy for pleiotropy. We further curated associations between the human orthologs for these genes and neurological disease and tested whether their evolutionary statistics and pleiotropic status predicted disease involvement. We found that pleiotropic genes exhibited significantly lower dN/dS values and were less stage-specific than non-pleiotropic immune genes. Slower-evolving genes were more likely to be associated with human neurological diseases but this pattern was strongest for non-pleiotropic neuronal genes, suggesting that pleiotropy alone is not the strongest predictor of disease. Our results therefore indicate that dN/dS could be a stronger predictor of disease association than pleiotropy, raising new questions about the maintenance of pleiotropy in evolutionarily dynamic physiological systems.

Indexed as

adaptationevolutionary statisticsevolvabilityneurodegenerativeneuroimmunology

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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.