Christiansen, H. | bioRxiv Science

bioRxiv2025

Genome-wide differentiation and SNP-based identification of northeastern Atlantic Sebastes species

Sustainable fisheries require reliable species identification and understanding of the underlying genetic hierarchies within the targeted species. Three Sebastes species are commonly found in the northeastern Atlantic: Sebastes mentella (beaked redfish), Sebastes norvegicus (golden redfish), and Sebastes viviparus (Norway redfish). These species are morphologically similar and have largely overlapping distribution ranges. Besides, three cryptic species for S. norvegicus and three depth-defined ecotypes for S. mentella have been suggested. Genetic knowledge and methods are needed to identify and monitor these species and to look at their geographic distribution. Here, a total of 99 specimens of S. mentella, S. viviparus as well as S. norvegicus A and B were sequenced in pools and aligned against a reference genome from a sister species, S. fasciatus (Acadian redfish). The measured divergence between all pairs, including the cryptic species pair S. norvegicus A and B, was high (mean FST = 0.33-0.61) and encompassing throughout genomes. Several shared megabase-scale regions of elevated divergence were observed, likely representing regions of reduced recombination. Moreover, 2914 fish collected across the northeastern Atlantic were analysed with a discriminatory SNP panel of high resolution (mean FST= 0.60-0.91), revealed few possible hybrids, and supported further sub-structuring within mentella and S. norvegicus B. The latter was split into two groups, one of which was the previously recognized giant morph and confirmed here for the first time in Norway. Sebastes mentella had two to three groups, likely representing previously identified depth-related ecotypes. Our study shows high genetic distinctiveness between acknowledged northeast-Atlantic Sebastes species, and between the cryptic species S. norvegicus A and B. Previously identified, fast-growing giant seems to be closely related to S. norvegicus B. Only few SNP markers are necessary for accurate species determination, facilitating further studies and widely applicable monitoring.

genetics↗

bioRxiv2021

Facilitating population genomics of non-model organisms through optimized experimental design for reduced representation sequencing

Genome-wide data are invaluable to characterize differentiation and adaptation of natural populations. Reduced representation sequencing (RRS) subsamples a genome repeatedly across many individuals. However, RRS requires careful optimization and fine-tuning to deliver high marker density while being cost-efficient. The number of genomic fragments created through restriction enzyme digestion and the sequencing library setup must match to achieve sufficient sequencing coverage per locus. Here, we present a workflow based on published information and computational and experimental procedures to investigate and streamline the applicability of RRS. In an iterative process genome size estimates, restriction enzymes and size selection windows were tested and scaled in six classes of Antarctic animals (Ostracoda, Malacostraca, Bivalvia, Asteroidea, Actinopterygii, Aves). Achieving high marker density would be expensive in amphipods, the malacostracan target taxon, due to the large genome size. We propose alternative approaches such as mitogenome or target capture sequencing for this group. Pilot libraries were sequenced for all other target taxa. Ostracods, bivalves, sea stars, and fish showed overall good coverage and marker numbers for downstream population genomic analyses. In contrast, the bird test library produced low coverage and few polymorphic loci, likely due to degraded DNA. Prior testing and optimization are important to identify which groups are amenable for RRS and where alternative methods may currently offer better cost-benefit ratios. The steps outlined here are easy to follow for other non-model taxa with little genomic resources, thus stimulating efficient resource use for the many pressing research questions in molecular ecology.

genomics↗