An amplicon panel for high-throughput and low-cost genotyping of Pacific oyster.

• Published in: G3: Genes, Genomes, Genetics
• Main Authors: Sutherland, Ben J G, Thompson, Neil F, Surry, Liam B, Gujjula, Krishna Reddy, Carrasco, Claudio D, Chadaram, Srinivas, Lunda, Spencer L, Langdon, Christopher J, Chan, Amy M, Suttle, Curtis A, Green, Timothy J
• Format: Article in Journal/Newspaper
• Language: English
• Published: Silverchair Information Systems 2024
• Subjects: Crassostrea (Magallana) gigas; Pacific oyster; amplicon panel; aquaculture; genetic diversity; parentage assignment; British Columbia; Canada; Pacific
• Online Access: https://doi.org/10.1093/g3journal/jkae125; https://pubmed.ncbi.nlm.nih.gov/38869232

Maintaining genetic diversity in cultured shellfish can be challenging due to high variance in individual reproductive success, founder effects, and rapid genetic drift, but is important to retain adaptive potential and avoid inbreeding depression. To support broodstock management and selective breeding in cultured Pacific oysters (Crassostrea (Magallana) gigas), we developed an amplicon panel targeting 592 genomic regions and SNP variants with an average of 50 amplicons per chromosome. Target SNPs were selected based on elevated observed heterozygosity or differentiation in Pacific oyster populations in British Columbia, Canada. The use of the panel for parentage applications was evaluated using multiple generations of oysters from a breeding program on Vancouver Island, Canada (n = 181) and families selected for Ostreid herpesvirus-1 resistance from the Molluscan Broodstock Program in Oregon, USA (n = 136). Population characterization was evaluated using wild, naturalized, farmed, or hatchery oysters sampled throughout the Northern Hemisphere (n = 190). Technical replicates showed high genotype concordance (97.5%; n = 68 replicates). Parentage analysis found suspected pedigree and sample handling errors, demonstrating the panel's value for quality control in breeding programs. Suspected null alleles were identified and found to be largely population dependent, suggesting population-specific variation impacting target amplification. Null alleles were identified using existing data without the need for pedigree information, and once they were removed, assignment rates increased to 93.0% and 86.0% of possible assignments in the two breeding program datasets. A pipeline for analyzing the amplicon sequence data from sequencer output, amplitools, is also provided.