Gutierrez Alejandro P, Bean Tim P, Hooper Chantelle, Stenton Craig A, Sanders Matthew B, Paley Richard K, Rastas Pasi, Bryrom Michaela, Matika Oswald, Houston Ross D
The Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Midlothian EH25 9RG, United Kingdom.
Centre for Environment Fisheries and Aquaculture Science (Cefas) Weymouth Laboratory, Dorset DT4 8UB, United Kingdom.
G3 (Bethesda). 2018 Mar 28;8(4):1273-1280. doi: 10.1534/g3.118.200113.
Ostreid herpesvirus (OsHV) can cause mass mortality events in Pacific oyster aquaculture. While various factors impact on the severity of outbreaks, it is clear that genetic resistance of the host is an important determinant of mortality levels. This raises the possibility of selective breeding strategies to improve the genetic resistance of farmed oyster stocks, thereby contributing to disease control. Traditional selective breeding can be augmented by use of genetic markers, either via marker-assisted or genomic selection. The aim of the current study was to investigate the genetic architecture of resistance to OsHV in Pacific oyster, to identify genomic regions containing putative resistance genes, and to inform the use of genomics to enhance efforts to breed for resistance. To achieve this, a population of ∼1,000 juvenile oysters were experimentally challenged with a virulent form of OsHV, with samples taken from mortalities and survivors for genotyping and qPCR measurement of viral load. The samples were genotyped using a recently-developed SNP array, and the genotype data were used to reconstruct the pedigree. Using these pedigree and genotype data, the first high density linkage map was constructed for Pacific oyster, containing 20,353 SNPs mapped to the ten pairs of chromosomes. Genetic parameters for resistance to OsHV were estimated, indicating a significant but low heritability for the binary trait of survival and also for viral load measures (h2 0.12 - 0.25). A genome-wide association study highlighted a region of linkage group 6 containing a significant QTL affecting host resistance. These results are an important step toward identification of genes underlying resistance to OsHV in oyster, and a step toward applying genomic data to enhance selective breeding for disease resistance in oyster aquaculture.
牡蛎疱疹病毒(OsHV)可在太平洋牡蛎养殖中引发大规模死亡事件。尽管多种因素会影响疫情的严重程度,但很明显宿主的遗传抗性是死亡率水平的重要决定因素。这就增加了采用选择性育种策略来提高养殖牡蛎种群遗传抗性从而有助于疾病控制的可能性。传统的选择性育种可通过使用遗传标记得到加强,无论是通过标记辅助选择还是基因组选择。本研究的目的是调查太平洋牡蛎对OsHV抗性的遗传结构,识别包含假定抗性基因的基因组区域,并为利用基因组学增强抗病育种工作提供信息。为实现这一目标,用一种强毒株形式的OsHV对约1000只幼龄牡蛎进行了实验性攻毒,从死亡个体和存活个体中取样进行基因分型以及病毒载量的定量聚合酶链反应测量。使用最近开发的单核苷酸多态性(SNP)阵列对样本进行基因分型,并利用基因型数据重建系谱。利用这些系谱和基因型数据,构建了第一张太平洋牡蛎的高密度连锁图谱,其中包含20353个定位到十对染色体上的SNP。估计了对OsHV抗性的遗传参数,表明存活的二元性状以及病毒载量测量值的遗传力显著但较低(h² 0.12 - 0.25)。全基因组关联研究突出了6号连锁群中一个包含影响宿主抗性的显著数量性状位点(QTL)的区域。这些结果是朝着鉴定牡蛎中抗OsHV潜在基因迈出的重要一步,也是朝着应用基因组数据增强牡蛎养殖中抗病性选择性育种迈出的一步。