Estimation of genome-wide coupling in rattlesnake hybrids provides insight into the process of speciation and its progress

Genomic coupling theory predicts that progress towards speciation involves a transition from the dominant effects of selection on individual barrier loci to the aggregate effects of direct and indirect selection across loci that collectively produce stronger barriers to gene flow through genetic associations. However, our ability to test this prediction and to understand the factors that lead to the buildup and maintenance of these associations has been limited by a lack of methods to estimate variation in coupling across the genome. Here we develop approaches to quantify coupling using window-based estimates of Barton's coupling coefficient and apply these to a dataset of 118 genomes from a rattlesnake hybrid zone. Our results provide empirical evidence for genomic coupling that is consistent with the predicted relationships of coupling with recombination, linkage, and inferences of selection. Applying these approaches, we find evidence for coupling within and among chromosomes, and highlight the roles of coupling in complex barrier effects, including the Large-Z effect, cytonuclear incompatibilities, and incompatibilities related to venom resistance. Together, our findings demonstrate the mechanism by which coupling is predicted to lead to speciation, and highlight how genome-wide quantification of coupling presents a promising framework for understanding progress towards speciation and the processes that underlie this progress.

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Publication Details

Journal
Nature Communications
Published
2025-11-21
DOI
https://doi.org/10.1038/s41467-025-65457-w
Primary Topic
Genetic diversity and population structure
Type
article
Field-Weighted Citation Impact
0.00

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article

Estimation of genome-wide coupling in rattlesnake hybrids provides insight into the process of speciation and its progress

Jesse M. Meik, Sierra N. Smith, Rulon W. Clark, Siddharth S. Gopalan et al.
Nature Communications
Genetic diversity and population structure
article

Estimation of genome-wide coupling in rattlesnake hybrids provides insight into the process of speciation and its progress

Jesse M. Meik, Sierra N. Smith, Rulon W. Clark, Siddharth S. Gopalan, Zachariah Gompert, Yannick Francioli, Jeffery P. Demuth, Stephen P. Mackessy, Drew R. Schield, Justin M. Bernstein, Tereza Ježková, Todd A. Castoe, Dylan W. Maag, Hannah Guss, Richard H. Adams
article en

Abstract

Genomic coupling theory predicts that progress towards speciation involves a transition from the dominant effects of selection on individual barrier loci to the aggregate effects of direct and indirect selection across loci that collectively produce stronger barriers to gene flow through genetic associations. However, our ability to test this prediction and to understand the factors that lead to the buildup and maintenance of these associations has been limited by a lack of methods to estimate variation in coupling across the genome. Here we develop approaches to quantify coupling using window-based estimates of Barton's coupling coefficient and apply these to a dataset of 118 genomes from a rattlesnake hybrid zone. Our results provide empirical evidence for genomic coupling that is consistent with the predicted relationships of coupling with recombination, linkage, and inferences of selection. Applying these approaches, we find evidence for coupling within and among chromosomes, and highlight the roles of coupling in complex barrier effects, including the Large-Z effect, cytonuclear incompatibilities, and incompatibilities related to venom resistance. Together, our findings demonstrate the mechanism by which coupling is predicted to lead to speciation, and highlight how genome-wide quantification of coupling presents a promising framework for understanding progress towards speciation and the processes that underlie this progress.

Nature CommunicationsVol. 16(1)
University of California, Riverside (US), Utah State University (US), West Texas A&M University (US), The University of Texas at Arlington (US), San Diego State University (US), University of Virginia (US), University of Northern Colorado (US), Tarleton State University (US), University of Arkansas at Fayetteville (US), Miami University (US)
National Science Foundation
Openalex Percentile: Top 62%
Genetic diversity and population structure
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