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"黄海芯1号"10K SNP面板在凡纳对虾基因组选择中的应用评估OA

Validation of the"Yellow Sea Array No.1"10K SNP panel in genomic selection from Penaeus vannamei

中文摘要英文摘要

本研究旨在评估基于"黄海芯 1号"10K低密度 SNP面板的基因组选择在凡纳对虾育种中的预测能力及其应用潜力.基于新开发的"黄海芯 1号"10K SNP芯片,结合两代凡纳对虾收获体重数据,评估了 10K 面板的基因组预测能力,比较了基于系谱信息的 PBLUP-GG模型和包括基因组信息的 ssGBLUP-MF模型,分别采用交叉验证与后裔验证两种策略,对不同 SNP 密度条件下的预测准确性进行评估.结果表明,在交叉验证条件下,ssGBLUP-MF 模型使用 10K 芯片的预测准确性为 0.43,略低于55K 芯片的 0.46,但均显著高于 PBLUP-GG 模型的 0.27.在后裔验证中,10K 与55K 芯片的预测准确性均为 0.45,均高于 PBLUP-GG 模型的 0.42.进一步基于10K 面板实测数据,在真实分型与质量控制条件下,ssGBLUP模型的预测准确性为0.38,显著高于 PBLUP 模型的 0.28.本研究基于开发的"黄海芯 1号"10K 芯片,结合交叉验证与后裔验证策略,验证了 10K 低密度 SNP面板在凡纳对虾育种中的可靠性,可为低成本基因组选择技术在对虾育种中的产业化应用提供参考.

Penaeus vannamei represents one of the most economically vital aquaculture species in China,where the implementation of genomic selection(GS)has emerged as a promising strategy to enhance breeding efficiency and accelerate the pace of genetic improvement.Nevertheless,the prohibitive genotyping cost associated with currently available medium-and high-density single nucleotide polymorphism(SNP)chips has severely restricted their large-scale deployment in shrimp breeding programs.To systematically evaluate the practical applicability of low-density SNP panels in commercial breeding scenarios,the present study assessed the genomic prediction performance of the newly developed"Yellow Sea Array No.1"10K SNP panel using harvest weight phenotypic data collected from two successive generations of P.vannamei.Two representative models,the pedigree-based PBLUP-GG model and the genomic information-integrated ssGBLUP-MF model,were constructed and comparatively analyzed,while two independent validation strategies,namely cross-validation and progeny testing,were adopted to quantify prediction accuracy across different SNP density gradients.The cross-validation results demonstrated that the prediction accuracy of the ssGBLUP-MF model using the 10K panel reached 0.43,which was marginally lower than that of the 55K panel(0.46)but substantially superior to that of the conventional PBLUP-GG model(0.27).Notably,under progeny testing,the 10K and 55K panels yielded identical prediction accuracy values of 0.45,both of which outperformed the PBLUP-GG model(0.42).Further validation using actual genotyping data generated from the 10K SNP panel showed that the ssGBLUP model achieved a prediction accuracy of 0.38 under routine genotyping and quality control workflows,significantly higher than the 0.28 obtained from the PBLUP model.Collectively,this study validates the reliability of the self-developed"Yellow Sea Array No.1"10K low-density SNP panel in P.vannamei breeding through combined cross-validation and progeny testing,providing a solid technical reference for the industrial-scale application of low-cost genomic selection in shrimp breeding.

刘绵宇;傅强;王平;栾生;孔杰;徐跑

南京农业大学无锡渔业学院,江苏 无锡 214081||中国水产科学研究院黄海水产研究所,海水养殖生物育种与可持续产出全国重点实验室,山东 青岛 266071中国水产科学研究院黄海水产研究所,海水养殖生物育种与可持续产出全国重点实验室,山东 青岛 266071海南中正水产科技有限公司,海南 东方 572600中国水产科学研究院黄海水产研究所,海水养殖生物育种与可持续产出全国重点实验室,山东 青岛 266071中国水产科学研究院黄海水产研究所,海水养殖生物育种与可持续产出全国重点实验室,山东 青岛 266071南京农业大学无锡渔业学院,江苏 无锡 214081

农业科技

凡纳对虾基因组预测准确性10K SNP面板后裔验证

Penaeus vannameigenomic prediction accuracy10K SNP panelprogeny testing

《中国水产科学》 2026 (8)

1-8,8

国家自然科学基金面上项目(32172960)海水养殖生物高产高抗优质良种创制项目(2024CXPT071-2)海南省揭榜挂帅项目(B25H1JC03)国家现代农业产业技术体系资助项目(CARS-48)中国水产科学研究院科技创新团队项目(2020TD26)泰山学者工程青岛蓝色种业研究院蓝色种业创新项目(QDLYY-2024003).

10.12264/JFSC2026-0043

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