Mapping Species Birth Across the Recombination Landscapes of Marine Snails

Understanding the drivers of heterogeneous genomic divergence is essential for uncovering the mechanisms that generate and constrain biodiversity. The extent to which adaptation and speciation are facilitated by reorganisation of the recombination landscape remains untested in many systems. Marine ecosystems, with their dynamic and fluid habitats, offer a compelling context to investigate genomic divergence. In this study, we mapped genomic divergence and selection across recombination landscapes of parapatric marine snail sister species that we show have recently undergone secondary contact. Regions of reduced recombination were enriched for genes exhibiting signatures of negative selection, whereas regions of high recombination were associated with genes under putative positive selection. Notably, the recombination landscape of the population in parapatry of one species (Scurria viridula) differs markedly from that of the other population within this same species, highlighting the role of introgression in reshaping recombination landscapes. In the other species (Scurria zebrina), conservation of the recombination landscape and divergent selection among populations suggest trapping of beneficial allele combinations in regions of low recombination maintains the identity of this species. Among species, signals of divergence with gene flow consistently cluster within specific genomic regions characterised by high recombination rate variation among the populations of S. viridula. These results challenge traditional theoretical expectations of recombination evolution by showing that the causes of genomic divergence can be population-specific. This study demonstrates that recombination landscapes are key modulators of genomic divergence, with contemporary evolutionary shifts that could enable populations to adapt to distinct environments. Our findings provide new insights into the interplay between recombination, selection, and gene flow during speciation, underscoring the complexity of evolutionary trajectories in marine systems.

Authors

Institutions

Publication Details

Journal
Molecular Ecology
Published
2025-09-21
DOI
https://doi.org/10.1111/mec.70108
Citations
1
Primary Topic
Evolution and Genetic Dynamics
Type
article
Field-Weighted Citation Impact
1.82
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Mapping Species Birth Across the Recombination Landscapes of Marine Snails

Daniel Ortíz-Barrientos, Erwan Delrieu‐Trottin, Xavier Pochon, Stefano Mona et al.
1 citations
Molecular Ecology
Evolution and Genetic Dynamics
1.82
article

Mapping Species Birth Across the Recombination Landscapes of Marine Snails

Daniel Ortíz-Barrientos, Erwan Delrieu‐Trottin, Xavier Pochon, Stefano Mona, Pablo Saenz‐Agudelo, Romuald Laso‐Jadart, Marie‐Laure Guillemin, Emily C. Giles, Paulina Carimán Soto
article en
1 citations

Abstract

Understanding the drivers of heterogeneous genomic divergence is essential for uncovering the mechanisms that generate and constrain biodiversity. The extent to which adaptation and speciation are facilitated by reorganisation of the recombination landscape remains untested in many systems. Marine ecosystems, with their dynamic and fluid habitats, offer a compelling context to investigate genomic divergence. In this study, we mapped genomic divergence and selection across recombination landscapes of parapatric marine snail sister species that we show have recently undergone secondary contact. Regions of reduced recombination were enriched for genes exhibiting signatures of negative selection, whereas regions of high recombination were associated with genes under putative positive selection. Notably, the recombination landscape of the population in parapatry of one species (Scurria viridula) differs markedly from that of the other population within this same species, highlighting the role of introgression in reshaping recombination landscapes. In the other species (Scurria zebrina), conservation of the recombination landscape and divergent selection among populations suggest trapping of beneficial allele combinations in regions of low recombination maintains the identity of this species. Among species, signals of divergence with gene flow consistently cluster within specific genomic regions characterised by high recombination rate variation among the populations of S. viridula. These results challenge traditional theoretical expectations of recombination evolution by showing that the causes of genomic divergence can be population-specific. This study demonstrates that recombination landscapes are key modulators of genomic divergence, with contemporary evolutionary shifts that could enable populations to adapt to distinct environments. Our findings provide new insights into the interplay between recombination, selection, and gene flow during speciation, underscoring the complexity of evolutionary trajectories in marine systems.

Molecular EcologyVol. 34(22)
Centre National de la Recherche Scientifique (FR), University of Auckland (NZ), École Pratique des Hautes Études (FR), Austral University of Chile (CL), Université Paris Sciences et Lettres (FR), Centre d'Écologie Fonctionnelle et Évolutive (FR), Center for Dynamic Research on High Latitude Marine Ecosystems (CL), Institut de Systématique, Évolution, Biodiversité (FR), Centre d’Etudes Politiques Et sociaLes (FR), ARC Centre of Excellence for Plant Success in Nature and Agriculture (AU), Institut de Recherche pour le Développement (FR), Cawthron Institute (NZ)
Openalex Percentile: Top 12%
Evolution and Genetic Dynamics
1.82
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.