Wang Le, Liu Peng, Huang Shuqing, Ye Baoqing, Chua Elaine, Wan Zi Yi, Yue Gen Hua
Molecular Population Genetics and Breeding Group, Temasek Life Sciences Laboratory, 1 Research Link, National University of Singapore, Singapore, 117604, Singapore.
Department of Biological Sciences, National University of Singapore, 14 Science Drive 4, Singapore, 117543, Singapore.
Mar Biotechnol (NY). 2017 Jun;19(3):255-265. doi: 10.1007/s10126-017-9747-7. Epub 2017 May 8.
Viral nervous necrosis disease (VNN), caused by nervous necrosis virus (NNV), is one major threat to mariculture. Identifying loci and understanding the mechanisms associated with resistance to VNN are important in selective breeding programs. We performed a genome-wide association study (GWAS) using genotyping-by-sequencing (GBS) to study the genomic architecture of resistance to NNV infection in Asian seabass. We genotyped 986 individuals from 43 families produced by 15 founders with 44498 bi-allelic genetic variants using GBS. The GWAS identified three genome-wide significant loci on chromosomes 16, 19, and 20, respectively, and six suggestive loci on chromosomes 1, 8, 14, 15, 21, and 24, respectively, associated with resistance to NNV infection measured as binary and quantitative traits. Using the 500 most significant markers in combination with a training population of 800 samples could reach a genomic prediction accuracy of 0.7. Candidate genes significantly associated with resistance to NNV, including lysine-specific demethylase 2A, beta-defensin 1, and cystatin-B, which play important roles in immune responses against virus infection, were identified. Almost all the candidate genes were differentially expressed in different tissues against NNV infection. The significant genetic variants can be used in genomic selection and help understand the mechanism of resistance to VNN. Future studies should use populations of large effective size and whole genome resequencing to identify more useful genetic variants.
病毒性神经坏死病(VNN)由神经坏死病毒(NNV)引起,是海水养殖面临的一大威胁。在选择性育种计划中,识别与抗VNN相关的基因座并了解其机制至关重要。我们利用简化基因组测序(GBS)进行了全基因组关联研究(GWAS),以研究尖吻鲈对NNV感染的抗性基因组结构。我们使用GBS对由15个亲本繁育的43个家系中的986个个体进行基因分型,共获得44498个双等位基因遗传变异。GWAS分别在第16、19和20号染色体上鉴定出三个全基因组显著基因座,在第1、8、14、15、21和24号染色体上分别鉴定出六个暗示性基因座,这些基因座与以二元和数量性状衡量的对NNV感染的抗性相关。使用500个最显著的标记与800个样本的训练群体相结合,基因组预测准确性可达0.7。鉴定出了与抗NNV显著相关的候选基因,并在针对病毒感染的免疫反应中发挥重要作用,包括赖氨酸特异性去甲基化酶2A、β-防御素1和胱抑素-B。几乎所有候选基因在不同组织中对NNV感染均有差异表达。这些显著的遗传变异可用于基因组选择,并有助于理解抗VNN的机制。未来的研究应使用有效规模大的群体和全基因组重测序来鉴定更多有用的遗传变异。