Strong spatial genetic structure in a crustacean herbivore highlights the need for local considerations in Baltic Sea biodiversity management

Incorporating species' eco-evolutionary responses to human-caused disturbances remains a challenge in marine management efforts. A prerequisite is knowledge of geographic structure and scale of genetic diversity and connectivity - the so-called seascape genetic patterns. The Baltic Sea is an excellent model system for studies linking seascape genetics with effects of anthropogenic stress. However, seascape genetic patterns in this area are only described for a few species and are completely unknown for invertebrate herbivores, which constitute a critical part of the ecosystem. This information is crucial for sustainable management, particularly under future scenarios of rapid environmental change. Here, we investigate the population genetic structure among 31 locations throughout the Baltic Sea, of which 45 % were located in marine protected areas, in one of the most important herbivores of this region, the isopod crustacean Idotea balthica, using an array of 33,774 genome-wide SNP markers derived from 2b-RAD sequencing. In addition, we generate a biophysical connectivity matrix for I. balthica from a combination of oceanographic current models and estimated life history traits. We find strong population structure on scales of hundreds of kilometers across the Baltic Sea, where genomic patterns in most cases closely match biophysical connectivity, indicating passive transport with oceanographic currents as an important mean of dispersal in this species. We also find successively reduced genetic diversity in terms of heterozygosity from the entrance towards the innermost parts of the Baltic Sea, suggesting multiple bottlenecks that presumably took place during the initial range expansion following the postglacial opening of the Baltic Sea. Both of these results provide crucial information for management of a key ecosystem species under expected changes in temperature and salinity following global climate change in a marine coastal area.

Identifier
Source https://data.blue-cloud.org/search-details?step=~0129CC1404D7FCCC38EB74D7F441FE7D282CB86391A
Metadata Access https://data.blue-cloud.org/api/collections/9CC1404D7FCCC38EB74D7F441FE7D282CB86391A
Provenance
Instrument Illumina HiSeq 2500; ILLUMINA
Publisher Blue-Cloud Data Discovery & Access service; ELIXIR-ENA
Publication Year 2024
OpenAccess true
Contact blue-cloud-support(at)maris.nl
Representation
Discipline Marine Science
Spatial Coverage (10.190W, 54.090S, 26.610E, 63.340N)
Temporal Coverage Begin 2014-08-08T00:00:00Z
Temporal Coverage End 2015-05-15T00:00:00Z