First genome-wide association and genomic prediction of ammonia-nitrogen tolerance in tiger pufferfish (Takifugu rubripes)
文献类型： 外文期刊
作者： Chi, Yong 1 ; Mukiibi, Robert 4 ; Hu, Yuanri 1 ; Li, Weidong 3 ; Robledo, Diego 4 ; Chen, Songlin 1 ; Li, Yangzhen 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.Tangshan Haidu Seafood Co Ltd, Tangshan 063506, Peoples R China
4.Univ Edinburgh, Roslin Inst & Royal Dick, Sch Vet Studies, Midlothian EH25 9RG, Scotland
5.Univ Santiago Compostela, Dept Genet, Santiago De Compostela 15706, Spain
关键词： Fugu; Heritability; Environmental stress; GWAS; QTL; Aquaculture
期刊名称：AQUACULTURE （ 影响因子：3.9； 五年影响因子：4.4 ）
ISSN： 0044-8486
年卷期： 2025 年 600 卷
页码：
收录情况： SCI
摘要： Ammonia-nitrogen stress is a significant threat to the growth and survival of tiger pufferfish (Takifugu rubripes), especially in high-density stocking integrated aquaculture systems. This study aimed to decipher the genetic background of ammonia-nitrogen stress tolerance via heritability estimation and identification of variants associated with this stress via genome-wide association studies (GWAS). We also assessed the potential of applying genomic selection (GS) to improve this trait in T. rubripes. A customized a low-density 20 K SNP array was used to genotype 780 fish, and low-density genotypes were imputed to a high-density genotype dataset comprising over 1.3 million SNPs. The heritability of ammonia-nitrogen tolerance was estimated as 0.20 and 0.15 and 0.21 for pedigree, low-density and high-density SNP markers panels, respectively. A suggestively significant quantitative trait locus (QTL) was detected on chromosome 8, containing 16 significant SNPs within a 70.0 kb region. Notably, two candidate genes, fgf11A and serinc5, were associated with ammonia-nitrogen stress tolerance. Use of different genomic prediction models to estimate genetic merit of selection candidates showed improvement in accuracy of breeding value estimation by at least 57 % compared to traditional pedigree-based methods. Interestingly, the prediction remained significantly high even with the lowest number of panel markers (500 markers). These findings highlight the potential of GS to enhance ammonia-nitrogen stress tolerance in T. rubripes breeding programs, thus contributing to the sustainability and productivity of the species.
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