Affiliation:
1. State Key Laboratory of Mariculture Biobreeding and Sustainable Goods, Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Science, Qingdao 266071, China
2. Laboratory for Marine Fisheries Science and Food Production Processes, Qingdao Marine Science and Technology Center, Qingdao 266237, China
3. College of Fisheries and Life Science, Shanghai Ocean University, Shanghai 201306, China
4. BLUP Aquabreed Co., Ltd., Weifang 261311, China
Abstract
The current study aimed to provide a precise assessment of the genetic parameters associated with growth and white spot syndrome virus (WSSV) resistance traits in Pacific white shrimp (Litopenaeus vannamei). This was achieved through a controlled WSSV challenge assay and the analysis of phenotypic values of five traits: body weight (BW), overall length (OL), body length (BL), tail length (TL), and survival hour post-infection (HPI). The analysis included test data from a total of 1017 individuals belonging to 20 families, of which 293 individuals underwent whole-genome resequencing, resulting in 18,137,179 high-quality SNP loci being obtained. Three methods, including pedigree-based best linear unbiased prediction (pBLUP), genomic best linear unbiased prediction (GBLUP), and single-step genomic BLUP (ssGBLUP) were utilized. Compared to the pBLUP model, the heritability of growth-related traits obtained from GBLUP and ssGBLUP was lower, whereas the heritability of WSSV resistance was higher. Both the GBLUP and ssGBLUP models significantly enhanced prediction accuracy. Specifically, the GBLUP model improved the prediction accuracy of BW, OL, BL, TL, and HPI by 4.77%, 21.93%, 19.73%, 19.34%, and 63.44%, respectively. Similarly, the ssGBLUP model improved prediction accuracy by 10.07%, 25.44%, 25.72%, 19.34%, and 122.58%, respectively. The WSSV resistance trait demonstrated the most substantial enhancement using both genomic prediction models, followed by body size traits (e.g., OL, BL, and TL), with BW showing the least improvement. Furthermore, the choice of models minimally impacted the assessment of genetic and phenotypic correlations. Genetic correlations among growth traits ranged from 0.767 to 0.999 across models, indicating high levels of positive correlations. Genetic correlations between growth and WSSV resistance traits ranged from (−0.198) to (−0.019), indicating low levels of negative correlations. This study assured significant advantages of the GBLUP and ssGBLUP models over the pBLUP model in the genetic parameter estimation of growth and WSSV resistance in L. vannamei, providing a foundation for further breeding programs.
Funder
National Natural Science Foundation of China
China Agriculture Research System
Central Public-interest Scientific Institution Basal Research Fund, CAFS
the Open Competition Program of Top Ten Critical Priorities of Agricultural Science and Technology Innovation for the 14th Five-Year Plan of Guangdong Province
Central Public-interest Scientific Institution Basal Research Fund, YSFRI, CAFS
Open Competition Program of Top Ten Critical Priorities of Agricultural Science and Technology Innovation for the 14th Five-Year Plan of Guangdong Province
Reference50 articles.
1. FAO (2024, March 26). FishStat Database. Available online: https://www.fao.org/fishery/statistics-query/en/global_production/global_production_quantity.
2. MOA (Ministry of Agriculture and Rural of the People’s Republic of China) (2023). China Fishery Statistical Yearbook.
3. Genetic (co) variation in resistance to white spot syndrome virus (WSSV) and harvest weight in Penaeus (Litopenaeus) vannamei;Gitterle;Aquaculture,2005
4. A scientometric assessment of research on white spot syndrome virus (WSSV) in India vis-a-vis the world (1998–2017);Bhoomaiah;Aquaculture,2020
5. WSSV–host interaction: Host response and immune evasion;Li;Fish Shellfish Immunol.,2019