文献类型： 外文期刊

作者： Huang, Guixian ¹ ; Kong, Jie ¹ ; Tian, Jiteng ¹ ; Luan, Sheng ¹ ; Liu, Mianyu ¹ ; Luo, Kun ¹ ; Tan, Jian ¹ ; Cao, Jiawang ¹ ; Dai, Ping ¹ ; Qiang, Guangfeng ¹ ; Xing, Qun ⁵ ; Sui, Juan ¹ ; Meng, Xianhong ¹ ;

作者机构： 1.Chinese Acad Fishery Sci, Yellow Sea Fisheries Res Inst, State Key Lab Mariculture Biobreeding & Sustainabl, Qingdao 266071, Peoples R China

2.Qingdao Marine Sci & Technol Ctr, Lab Marine Fisheries Sci & Food Prod Proc, Qingdao 266237, Peoples R China

3.Shanghai Ocean Univ, Coll Fisheries & Life Sci, Shanghai 201306, Peoples R China

4.Nanjing Agr Univ, Coll Fisheries, Nanjing 210095, Peoples R China

5.BLUP Aquabreed Co Ltd, Weifang 261311, Peoples R China

关键词： Penaeus vannamei; ssGBLUP; Vp (AHPND); body weight

期刊名称：ANIMALS （ 影响因子：2.7； 五年影响因子：3.2 ）

ISSN： 2076-2615

年卷期： 2025 年 15 卷 9 期

页码：

收录情况： SCI

摘要： This study compared the genetic parameters of growth traits and resistance to acute hepatopancreatic necrosis disease (AHPND) in two strains of Penaeus vannamei. A controlled pathogen challenge test was conducted to evaluate five phenotypic traits: body weight, survival time post-infection, family survival rate at 36 h post-infection, family survival rate at the median lethal time within each strain, and family survival rate at 60 h post-infection. Two models were applied: the pedigree-based best linear unbiased prediction (pBLUP) model and the single-step genomic best linear unbiased prediction (ssGBLUP) model. Compared to pBLUP, ssGBLUP, which incorporates maternal genomic information, yielded higher heritability estimates for all traits in both strains. A moderate positive genetic correlation was observed between body weight and survival time under AHPND challenge, suggesting the feasibility of multi-trait selection for both growth and disease resistance. However, using only maternal genomic information provided limited improvement in the accuracy of genetic evaluations for body weight and resistance. To enhance breeding efficiency, future selection programs should incorporate genotyping data from a larger number of offspring. This study evaluated the genetic parameters for growth and Vibrio parahaemolyticus (Vp(AHPND)) resistance in both the introduced MK strain and the self-constructed GK strain of Penaeus vannamei, investigating the impact of genotyped female parents on trait estimates under a single-parent nested mating design. A total of 32 families from the MK strain and 44 families from the GK strain were analyzed. Fifty-four female parents from both strains were genotyped using the "Yellow Sea Chip No. 1" containing 10.0 K SNPs. In the MK strain, heritability estimates ranged from 0.439 to 0.458 for body weight (Bw) and from 0.308 to 0.489 for survival time (ST) and survival rates at 36 h (36 SR), 50% mortality (SS50), and 60 h (60 SR). In the GK strain, heritability for Bw ranged from 0.724 to 0.726, while ST, 36 SR, SS50, and 60 SR had heritability estimates between 0.370 and 0.593. Genetic correlations between Bw and ST were 0.601 to 0.622 in the MK strain and 0.742 to 0.744 in the GK strain. For Bw and survival rates, correlations ranged from 0.120 to 0.547 in the MK strain and from 0.426 to 0.906 in the GK strain. The genetic correlation between ST and survival rates was not significantly different from 1 (p > 0.05) in both strains. High Pearson correlations (0.853 to 0.997, p < 0.01) were observed among survival rates at different points. Predictive accuracies for Bw, ST, and survival rates using single-step genomic best linear unbiased prediction (ssGBLUP) were comparable to pedigree-based best linear unbiased prediction (pBLUP) in the MK strain, while in the GK strain, ssGBLUP improved predictive accuracies for Bw, ST, and SS50 by 0.20%, 0.32%, and 0.38%, respectively. The results indicate that both growth and Vp(AHPND) resistance have significant breeding potential. Although the genetic correlation between weight and resistance varies across different populations, there is a positive genetic correlation between these traits, supporting the feasibility of multi-trait selection. To enhance genetic accuracy, breeding programs should include more genotyped progeny. These findings also suggest that infection frequency and observation time influence resistance performance and breeding selection, emphasizing the need for a tailored resistance evaluation program to improve breeding efficiency and reduce costs.