基于不同密度SNP面板的凡纳滨对虾AHPND抗性基因组预测准确性分析
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S 961.6

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国家重点研发计划(2022YFD2400202);中国水产科学研究院科技创新团队项目(2020TD26);海南省院士创新平台科研专项(YSPTZX202104);恒兴南美白对虾育种中心(2021E05032);现代农业产业技术体系专项(CARS-48)


Genomic prediction accuracy analysis of AHPND resistance genome prediction in Litopenaeus vannamei using SNP panels with different densities
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    摘要:

    为评估不同SNP标记密度对凡纳滨对虾AHPND抗性基因组预测准确性的影响,本实验对26个全同胞家系进行VpAHPND侵染,收集686尾个体的存活时间数据,对其中242尾个体利用液相芯片“黄海芯1号” (55.0 K SNP)进行基因分型,基于A、G和H亲缘关系矩阵估计VpAHPND侵染后存活时间的遗传参数;采用随机和等距抽取方式,基于55.0 K SNP构建了8个低密度SNP面板 (40.0、30.0、20.0、10.0、5.0、1.0、0.5和0.1 K),利用GBLUP和ssGBLUP等方法预测VpAHPND侵染后存活时间的基因组育种值,利用交叉验证方法计算其预测准确性,并与BLUP方法进行对比分析。遗传参数估计结果显示,VpAHPND侵染后存活时间表现为高遗传力水平,估计值为0.68~0.79。在55.0 K SNP密度下,针对242尾基因分型个体数据集 (G242),利用BLUP、GBLUP和ssGBLUP方法获得的预测准确性分别为0.424、0.450和0.452,GBLUP和ssGBLUP比BLUP分别提升了6.13%和6.60%;针对686尾表型测定个体数据集 (P686),利用BLUP和ssGBLUP方法获得的预测准确性分别为0.510和0.535,后者比前者提升了4.90%。对于8个低密度SNP面板,当SNP密度≥10.0 K时,基因组预测准确性变化幅度在G242和P686数据集中均较小 (1.1%~1.8%);随着SNP密度自10.0 K不断降低,基因组预测准确性在2个数据集中也不断降低,其中5.0 K密度降幅为0.6%~2.6%、1.0 K密度降幅为5.8%~11.0%、0.5 K密度降幅为11.4%~17.2%、0.1 K密度降幅为38.8%~41.6%。10.0 K与55.0 K SNP密度间基因组亲缘系数、GEBV的相关系数均高于0.99,表明利用10.0 K SNP面板可以准确地预测同胞个体间的亲缘关系及其GEBV。研究表明,使用10.0 K SNP面板对VpAHPND侵染后存活时间进行基因组遗传评估可以得到与55.0 K SNP芯片近似的预测准确性,为低密度SNP分型芯片设计提供了参考。

    Abstract:

    To evaluate the influence of SNP panels with different densities on the accuracy of genomic prediction of AHPND resistance of Litopenaeus vannamei, 26 full-sib families were infected with VpAHPND, and survival time of 686 individuals were recorded. A total of 242 individuals were genotyped by the liquid chip "Yellow Sea Chip No.1" (55.0 K SNP), and the genetic parameters of survival time after VpAHPND infection were estimated using the A, G and H relationship matrices. Eight low-density SNP panels (40.0 K, 30.0 K, 20.0 K, 10.0 K, 5.0 K, 1.0 K, 0.5 K, 0.1 K) were generated based on the 55.0 K SNP panel. GBLUP and ssGBLUP methods were used to predict the GEBV of survival time, and prediction accuracy was calculated by cross-validation method and compared with BLUP method. The estimated heritabilities of survival time after VpAHPND infection were high (0.68-0.79). At 55.0 K SNP density, the prediction accuracies obtained by BLUP, GBLUP and ssGBLUP were 0.424, 0.450 and 0.452, respectively, in the data set with 242 genotyped individuals (G242). The accuracy of GBLUP and ssGBLUP was 6.13% and 6.60% higher than BLUP, respectively. For the data set with 686 phenotyped individuals (P686), the prediction accuracies obtained by BLUP and ssGBLUP methods were 0.510 and 0.535, respectively. ssGBLUP showed 4.90% greater accuracy than BLUP. For 8 low-density SNP panels, genomic prediction accuracies were all low (1.1%-1.8%) in G242 and P686 data sets when the SNP density was greater than or equal to 10.0 K. With the decrease of SNP density since 10.0 K, the accuracy of genomic prediction also decreased in the two data sets, The density of 5.0 K decreased by 0.6%-2.6%, 1.0 K decreased by 5.8% -11.0%, 0.5 K decreased by 11.4%-17.2%, and 0.1 K decreased by 38.8%-41.6%. The correlation coefficients of genomic relationship coefficient and GEBV obtained using 10.0 K and 55.0 K SNP panels were all higher than 0.99, which indicates that the relationship between sibling individuals and their GEBVs can be accurately predicted by using the 10.0 K SNP panel. The results showed that the 10.0 K SNP panel could replace 55.0 K SNP panel to perform genetic evaluation for survival time after VpAHPND infection,which provided a reference for the design of low density SNP chips.

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刘杨,栾生,刘绵宇,李旭鹏,孟宪红,罗坤,隋娟,谭建,代平,曹家旺,陈宝龙,孔杰.基于不同密度SNP面板的凡纳滨对虾AHPND抗性基因组预测准确性分析[J].水产学报,2023,47(1):019612

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  • 收稿日期:2022-11-01
  • 最后修改日期:2022-12-15
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  • 在线发布日期: 2023-01-16
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