Evidence map›Paper›PMID 41604226›Full record

ArticleMolecular biology and evolution2026

Estimates of molecular convergence reveal multiple genes with adaptive variation across teleost fish.

Agneesh Barua, Malvika Srivastava, Brice Beinsteiner, Vincent Laudet, Marc Robinson-Rechavi

Abstract read
In one paragraph

Article in Molecular biology and evolution, 2026. 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

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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

The trial behind it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Adaptive molecular convergence is pervasive across deep time and largely decoupled from phenotypic convergence.Proceedings of the National Academy of Sciences of the United States of America · 2026
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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

5 authors.

Agneesh BaruaDepartment of Ecology and Evolution, University of Lausanne, Lausanne, Switzerland.ORCID 0000-0002-8347-2171
Malvika SrivastavaDepartment of Ecology and Evolution, University of Lausanne, Lausanne, Switzerland.ORCID 0000-0003-0757-4990
Brice BeinsteinerHelmholtz Pioneer Campus, Helmholtz Zentrum München, Neuherberg, Germany.ORCID 0000-0002-4873-0550
Vincent LaudetMarine Eco-Evo-Devo Unit, Okinawa Institute of Science and Technology Graduate University, Onna son, Okinawa, Japan.ORCID 0000-0003-4022-4175
Marc Robinson-RechaviDepartment of Ecology and Evolution, University of Lausanne, Lausanne, Switzerland.ORCID 0000-0002-3437-3329

Funding

HFSP LT0063Human Frontier Science Programme Organisation
6 · The paper itself

Abstract

Molecular convergence, where specific nonsynonymous changes in protein-coding genes lead to identical amino acid substitutions across multiple lineages, provides strong evidence of adaptive evolution. Detecting this signal across diverse taxa can reveal adaptive variation that may not be apparent when studying individual lineages. In this study, we search for convergent substitutions in the most speciose group of vertebrates, teleost fishes. Using an unsupervised approach, we detected convergence in 89 protein-coding gene families across 143 chromosomal-level genomes. To assess their functional implications, we integrate data on protein properties, gene expression across species and tissues, single-cell RNA sequencing of zebrafish embryonic development, and gene perturbation experiments in zebrafish. We found that, on average, the convergent genes had more gene copies as compared to background sets of genes. The convergent genes were associated with diverse processes including embryonic development, tissue morphogenesis, metabolism, and heat stress response. We found evidence that convergent substitutions were more radical than nonconvergent substitutions. When analyzing the expression of the convergent genes, we found that only one-third of them were tissue-specific, while the majority were expressed across multiple tissues and cell types. Genetic perturbation data further showed that the convergent genes can affect multiple structures across diverse tissues. These results highlight the important functional roles of the convergent genes, their potential pleiotropic nature, and suggest that they may underlie the evolution of lineage-specific adaptations in teleost fishes.

Indexed as

Adaptation, BiologicalEvolution, MolecularFishesAmino Acid SubstitutionAnimalsPhylogenyZebrafishmolecular convergenceprotein evolutionteleost fishes

Identifiers

PMID41604226
PMCPMC12849823

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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.