Wang Jiaying, Zhao Ji, Liu Bo, Chi Hongshu, Jiang Pengxing, Xiao Junzu, Jiang Zhou, Miao Lingwei, He Qian, Zeng Junjia, Ke Qiaozhen, Zhou Tao, Xu Peng
State Key Laboratory of Mariculture Breeding, College of Ocean and Earth Sciences, Xiamen University, Xiamen, China.
Fujian Key Laboratory of Genetics and Breeding of Marine Organisms, College of Ocean and Earth Sciences, Xiamen University, Xiamen, China.
Front Vet Sci. 2025 Jan 17;12:1524914. doi: 10.3389/fvets.2025.1524914. eCollection 2025.
Despite the high cost of genotyping and the limited economic return per individual that restricts the use of genome selection technology in aquatic species breeding, integrating multiple traits in a selection index can reduce costs and present a promising direction for fish breeding. The aim of this study was to evaluate the feasibility and performance of breeding for dual resistance traits against and in large yellow croaker, using a selection index approach. A candidate stock population from the resistance strain (GS3) of the F2 generation ( = 560) was genotyped using a 55 K SNP array. A total of 50 broodstock with the highest genomic estimated breeding value (GEBV) ranking for the resistance trait were selected to produce the F3 generation, while 50 broodstock with the highest selection index were selected to breed the double trait strain (GS9). In parallel, two populations without selective breeding population (C1and C2) were used as the control group to produce the offspring. The genetic improvement effect of all the breeding lines (GS3, GS9, C1, and C2) was assessed through artificial challenge experiments with and , respectively. The GWAS result indicated that resistance to was a polygenic trait and the heritability of resistance to was estimated to be approximately 0.1. The survival rates of GS9 and GS3 were 43.74 and 86.81%, respectively, after 120 h of challenge with infection, whereas those of C1 and C2 remained at 0%. Furthermore, the survival rates of GS9 and GS3 were 27.03 and 15.48%, respectively, after 48 h of infection, while the survival rates of C1 and C2 were 12.67 and 14.17%, respectively. These results indicate that genetic improvement of multiple traits in large yellow croaker using genomic selection technology is indeed feasible. Moreover, this study provides a valuable reference for advancing multi-trait breeding applications in aquatic species.
尽管基因分型成本高昂,且每个个体的经济回报有限,这限制了基因组选择技术在水产养殖中的应用,但在选择指数中整合多个性状可以降低成本,并为鱼类育种提供了一个有前景的方向。本研究的目的是使用选择指数方法评估大黄鱼对[未提及的两种病原体名称]双重抗性性状育种的可行性和性能。使用55K SNP芯片对F2代(n = 560)的[未提及的抗性品系名称]抗性品系(GS3)的候选种群进行基因分型。选择了50尾对[未提及的抗性性状名称]抗性性状基因组估计育种值(GEBV)排名最高的亲鱼来繁殖F3代,同时选择了50尾选择指数最高的亲鱼来培育双性状品系(GS9)。同时,将两个没有进行选择育种的种群(C1和C2)作为对照组来繁殖后代。通过分别用[未提及的两种病原体名称]进行人工攻毒实验,评估了所有育种系(GS3、GS9、C1和C2)的遗传改良效果。全基因组关联研究(GWAS)结果表明,对[未提及的病原体名称]的抗性是一个多基因性状,对[未提及的病原体名称]抗性的遗传力估计约为0.1。在[未提及的病原体名称]感染攻毒120小时后,GS9和GS3的存活率分别为43.74%和86.81%,而C1和C2的存活率仍为0%。此外,在[未提及的病原体名称]感染48小时后,GS9和GS3的存活率分别为27.03%和15.48%,而C1和C2的存活率分别为12.67%和14.17%。这些结果表明,利用基因组选择技术对大黄鱼多个性状进行遗传改良确实是可行的。此外,本研究为推进水产养殖中的多性状育种应用提供了有价值的参考。