Design and validation of a high-density single nucleotide polymorphism array for the Eastern oyster (Crassostrea virginica)

Abstract Dense single nucleotide polymorphism (SNP) arrays are essential tools for rapid high-throughput genotyping for many genetic analyses, including genomic selection and high-resolution population genomic assessments. We present a high-density (200 K) SNP array developed for the Eastern oyster...

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Veröffentlicht in:G3 : genes - genomes - genetics 2023-06, Vol.13 (6)
Hauptverfasser: Xuereb, Amanda, Nahuelpi, Rodrigo Marín, Normandeau, Eric, Babin, Charles, Laporte, Martin, Mallet, André, Yáñez, José M, Mallet, Martin, Bernatchez, Louis
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Sprache:eng
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Zusammenfassung:Abstract Dense single nucleotide polymorphism (SNP) arrays are essential tools for rapid high-throughput genotyping for many genetic analyses, including genomic selection and high-resolution population genomic assessments. We present a high-density (200 K) SNP array developed for the Eastern oyster (Crassostrea virginica), which is a species of significant aquaculture production and restoration efforts throughout its native range. SNP discovery was performed using low-coverage whole-genome sequencing of 435 F1 oysters from families from 11 founder populations in New Brunswick, Canada. An Affymetrix Axiom Custom array was created with 219,447 SNPs meeting stringent selection criteria and validated by genotyping more than 4,000 oysters across 2 generations. In total, 144,570 SNPs had a call rate >90%, most of which (96%) were polymorphic and were distributed across the Eastern oyster reference genome, with similar levels of genetic diversity observed in both generations. Linkage disequilibrium was low (maximum r2 ∼0.32) and decayed moderately with increasing distance between SNP pairs. Taking advantage of our intergenerational data set, we quantified Mendelian inheritance errors to validate SNP selection. Although most of SNPs exhibited low Mendelian inheritance error rates overall, with 72% of called SNPs having an error rate of
ISSN:2160-1836
2160-1836
DOI:10.1093/g3journal/jkad071