SNP discovery and genetic structure in blue mussel species using low coverage sequencing and a medium density 60 K SNP-array

Jennifer C Nascimento-Schulze, Tim P Bean, Carolina Peñaloza, Josephine R Paris, James R Whiting, Alexis Simon, Bonnie A Fraser, Ross D Houston, Nicolas Bierne, Robert P Ellis

Research output: Contribution to journalArticlepeer-review

Abstract / Description of output

Blue mussels from the genus Mytilus are an abundant component of the benthic community, found in the high latitude habitats. These foundation species are relevant to the aquaculture industry, with over 2 million tonnes produced globally each year. Mussels withstand a wide range of environmental conditions and species from the Mytilus edulis complex readily hybridize in regions where their distributions overlap. Significant effort has been made to investigate the consequences of environmental stress on mussel physiology, reproductive isolation, and local adaptation. Yet our understanding on the genomic mechanisms underlying such processes remains limited. In this study, we developed a multi species medium-density 60 K SNP-array including four species of the Mytilus genus. SNPs included in the platform were called from 138 mussels from 23 globally distributed mussel populations, sequenced using a whole-genome low coverage approach. The array contains polymorphic SNPs which capture the genetic diversity present in mussel populations thriving across a gradient of environmental conditions (~59 K SNPs) and a set of published and validated SNPs informative for species identification and for diagnosis of transmissible cancer (610 SNPs). The array will allow the consistent genotyping of individuals, facilitating the investigation of ecological and evolutionary processes in these taxa. The applications of this array extend to shellfish aquaculture, contributing to the optimization of this industry via genomic selection of blue mussels, parentage assignment, inbreeding assessment and traceability. Further applications such as genome wide association studies (GWAS) for key production traits and those related to environmental resilience are especially relevant to safeguard aquaculture production under climate change.

Original languageEnglish
Pages (from-to)1044-1060
Number of pages17
JournalEvolutionary Applications
Volume16
Issue number5
Early online date25 Apr 2023
DOIs
Publication statusE-pub ahead of print - 25 Apr 2023

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