Population genomics and history of speciation reveal fishery management gaps in two related redfish species ( Sebastes mentella and Sebastes fasciatus)

• Published in: Evolutionary Applications
• Main Authors: Benestan, Laura M., Rougemont, Quentin, Senay, Caroline, Normandeau, Eric, Parent, Eric, Rideout, Rick, Bernatchez, Louis, Lambert, Yvan, Audet, Céline, Parent, Geneviève J.
• Other Authors: Research and Development, Fisheries and Oceans Canada
• Format: Article in Journal/Newspaper
• Language: English
• Published: Wiley 2020
• Subjects: Northwest Atlantic; Sebastes mentella
• Online Access: http://dx.doi.org/10.1111/eva.13143; https://onlinelibrary.wiley.com/doi/pdf/10.1111/eva.13143; https://onlinelibrary.wiley.com/doi/full-xml/10.1111/eva.13143

Abstract Understanding the processes shaping population structure and reproductive isolation of marine organisms can improve their management and conservation. Using genomic markers combined with estimation of individual ancestries, assignment tests, spatial ecology, and demographic modeling, we (i) characterized the contemporary population structure, (ii) assessed the influence of space, fishing depth, and sampling years on contemporary distribution, and (iii) reconstructed the speciation history of two cryptic redfish species, Sebastes mentella and S. fasciatus . We genotyped 860 individuals in the Northwest Atlantic Ocean using 24,603 filtered single nucleotide polymorphisms (SNPs). Our results confirmed the clear genetic distinctiveness of the two species and identified three ecotypes within S. mentella and five populations in S. fasciatus . Multivariate analyses highlighted the influence of spatial distribution and depth on the overall genomic variation, while demographic modeling revealed that secondary contact models best explained inter‐ and intragenomic divergence. These species, ecotypes, and populations can be considered as a rare and wide continuum of genomic divergence in the marine environment. This acquired knowledge pertaining to the evolutionary processes driving population divergence and reproductive isolation will help optimizing the assessment of demographic units and possibly to refine fishery management units.