The Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Midlothian EH25 9RG, United Kingdom.
Edinburgh Genomics, Ashworth Laboratories, University of Edinburgh, EH9 3FL, United Kingdom.
G3 (Bethesda). 2017 Jul 5;7(7):2209-2218. doi: 10.1534/g3.117.041780.
SNP arrays are enabling tools for high-resolution studies of the genetic basis of complex traits in farmed and wild animals. Oysters are of critical importance in many regions from both an ecological and economic perspective, and oyster aquaculture forms a key component of global food security. The aim of our study was to design a combined-species, medium density SNP array for Pacific oyster () and European flat oyster (), and to test the performance of this array on farmed and wild populations from multiple locations, with a focus on European populations. SNP discovery was carried out by whole-genome sequencing (WGS) of pooled genomic DNA samples from eight populations, and restriction site-associated DNA sequencing (RAD-Seq) of 11 geographically diverse populations. Nearly 12 million candidate SNPs were discovered and filtered based on several criteria, including preference for SNPs segregating in multiple populations and SNPs with monomorphic flanking regions. An Affymetrix Axiom Custom Array was created and tested on a diverse set of samples ( = 219) showing ∼27 K high quality SNPs for and ∼11 K high quality SNPs for segregating in these populations. A high proportion of SNPs were segregating in each of the populations, and the array was used to detect population structure and levels of linkage disequilibrium (LD). Further testing of the array on three nuclear families ( = 165) revealed that the array can be used to clearly distinguish between both families based on identity-by-state (IBS) clustering parental assignment software. This medium density, combined-species array will be publicly available through Affymetrix, and will be applied for genome-wide association and evolutionary genetic studies, and for genomic selection in oyster breeding programs.
SNP 芯片是研究养殖和野生动物复杂性状遗传基础的强大工具。牡蛎在生态和经济方面对许多地区都至关重要,牡蛎养殖是全球粮食安全的关键组成部分。我们的研究目的是设计一个用于太平洋牡蛎()和欧洲平牡蛎()的组合物种、中等密度 SNP 芯片,并在多个地点的养殖和野生种群中测试该芯片的性能,重点是欧洲种群。通过对来自 8 个种群的混合基因组 DNA 样本进行全基因组测序(WGS)和对 11 个地理上多样化的 种群进行限制性位点相关 DNA 测序(RAD-Seq),发现了近 1200 万个候选 SNP,并根据多个标准进行了过滤,包括偏爱在多个种群中分离的 SNP 和侧翼区域单态的 SNP。创建了一个 Affymetrix Axiom Custom Array,并在一组多样化的样本(= 219)上进行了测试,结果显示该芯片在这些种群中可检测到约 27 K 个高质量 SNP 用于 ,约 11 K 个高质量 SNP 用于 。每个种群中都有相当比例的 SNP 分离,该芯片可用于检测种群结构和连锁不平衡(LD)水平。在三个 核家族(= 165)上进一步测试该芯片,结果表明该芯片可通过基于身份状态(IBS)聚类的亲本分配软件,清楚地区分这两个家族。这个中等密度的组合物种芯片将通过 Affymetrix 公开提供,并将用于全基因组关联和进化遗传学研究,以及牡蛎育种计划中的基因组选择。