Ecology drives the degree of convergence in the gene expression of extremophile fishes

Abstract Convergent evolution is common and a testament to the repeatability of evolution. Still, non-convergence is also widespread, and a major question is whether idiosyncratic, lineage-specific changes are reflective of chance events inherent to evolutionary processes, or whether they are influenced by deterministic genetic or ecological factors. To address this question, we quantified the degree of convergence in gene expression across lineages of livebearing fishes (Poeciliidae) that span 40 million years of divergence and have colonized toxic, hydrogen-sulfide-rich springs. We asked whether the degree of convergence across lineage pairs was related to their phylogenetic relatedness and the ecological similarity of their habitats. Using phylogenetic comparative analyses, we showed that the degree of convergence in gene expression was variable across lineage pairs. While closely related lineages did not exhibit higher degrees of convergence than distantly related ones, we uncovered a strong relationship between degree of convergence and the ecological similarity among lineages. These results suggest that variation in environmental conditions that is often overlooked in simplified descriptions of habitat differences can play an important role in shaping adaptive evolution. Our study highlights the importance of multivariate approaches that capture the complexities of selective regimes and organismal responses when assessing the repeatability of evolution.

Authors

Institutions

Publication Details

Journal
Proceedings of the Royal Society B Biological Sciences
Published
2026-10-21
DOI
https://doi.org/10.1098/rspb.2026.1416
Primary Topic
Evolution and Genetic Dynamics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Ecology drives the degree of convergence in the gene expression of extremophile fishes

Ryan Greenway, Joanna L. Kelley, Michael Tobler
Proceedings of the Royal Society B Biological Sciences
Evolution and Genetic Dynamics
article

Ecology drives the degree of convergence in the gene expression of extremophile fishes

Ryan Greenway, Joanna L. Kelley, Michael Tobler
article en

Abstract

Abstract Convergent evolution is common and a testament to the repeatability of evolution. Still, non-convergence is also widespread, and a major question is whether idiosyncratic, lineage-specific changes are reflective of chance events inherent to evolutionary processes, or whether they are influenced by deterministic genetic or ecological factors. To address this question, we quantified the degree of convergence in gene expression across lineages of livebearing fishes (Poeciliidae) that span 40 million years of divergence and have colonized toxic, hydrogen-sulfide-rich springs. We asked whether the degree of convergence across lineage pairs was related to their phylogenetic relatedness and the ecological similarity of their habitats. Using phylogenetic comparative analyses, we showed that the degree of convergence in gene expression was variable across lineage pairs. While closely related lineages did not exhibit higher degrees of convergence than distantly related ones, we uncovered a strong relationship between degree of convergence and the ecological similarity among lineages. These results suggest that variation in environmental conditions that is often overlooked in simplified descriptions of habitat differences can play an important role in shaping adaptive evolution. Our study highlights the importance of multivariate approaches that capture the complexities of selective regimes and organismal responses when assessing the repeatability of evolution.

Proceedings of the Royal Society B Biological SciencesVol. 293(2081)
University of California, Santa Cruz (US), University of Missouri–St. Louis (US), Max Planck Institute of Animal Behavior (DE), Saint Louis Zoo (US)
Openalex Percentile: Top 15%
Evolution and Genetic Dynamics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.