Département de Biologie, Institut de Biologie Intégrative et des Systèmes (IBIS), Université Laval, 1030 Av. de la Médecine, Québec, QC, G1V0A6, Canada.
Facultad de Ciencias Veterinarias y Pecuarias, Universidad de Chile, Santa Rosa 11735, La Pintana, Santiago, 8820808, Chile.
G3 (Bethesda). 2023 Jun 1;13(6). doi: 10.1093/g3journal/jkad071.
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 <1%, many loci had elevated Mendelian inheritance error rates, potentially indicating the presence of null alleles. This SNP panel provides a necessary tool to enable routine application of genomic approaches, including genomic selection, in C. virginica selective breeding programs. As demand for production increases, this resource will be essential for accelerating production and sustaining the Canadian oyster aquaculture industry.
高密度单核苷酸多态性(SNP)芯片是许多遗传分析(包括基因组选择和高分辨率群体基因组评估)快速高通量基因分型的重要工具。我们为东方牡蛎(Crassostrea virginica)开发了一种高密度(200K)SNP 芯片,该物种在其原生范围内具有重要的水产养殖生产和恢复作用。SNP 的发现是通过对来自加拿大新不伦瑞克省 11 个创始种群的 435 个 F1 牡蛎的低覆盖全基因组测序完成的。利用严格的选择标准创建了 Affymetrix Axiom Custom 芯片,其中有 219447 个 SNP 通过对超过 4000 个牡蛎的 2 代进行基因分型验证。总共,有 144570 个 SNP 的调用率>90%,其中大多数(96%)为多态性,分布在东方牡蛎参考基因组中,在 2 代中观察到相似的遗传多样性水平。连锁不平衡较低(最大 r2 ∼0.32),随着 SNP 对之间距离的增加而适度衰减。利用我们的世代间数据集,我们量化了孟德尔遗传错误,以验证 SNP 的选择。虽然大多数 SNP 总体上表现出低孟德尔遗传错误率,有 72%的 SNP 具有<1%的错误率,但许多基因座具有较高的孟德尔遗传错误率,可能表明存在无效等位基因。该 SNP 面板为常规应用基因组方法提供了必要的工具,包括基因组选择,在 C. virginica 的选择育种计划中。随着对产量的需求增加,该资源对于加速生产和维持加拿大牡蛎水产养殖产业至关重要。