对Litopenaeus vannamei的生长和WSSV抗性特征的遗传参数的估计
Juan Sui1,2, Kun Sun3, Jie Kong1,2
1State Key Laboratory of Mariculture Biobreeding and Sustainable Goods, Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Science, Qingdao 266071, China.
Animals : an open access journal from MDPI
|June 27, 2024
概括
基因组预测模型 (GBLUP和ssGBLUP) 显著提高了估计太平洋白 (Litopenaeus vannamei) 遗传参数的准确性,特别是在白斑综合征病毒 (WSSV) 耐药性方面. 这些先进的方法为繁殖计划提供了更好的见解.
科学领域:
- 水产养殖遗传学 水产养殖遗传学
- 动物繁殖 动物繁殖
- 疾病耐药性 疾病耐药性
背景情况:
- 太平洋白 (Litopenaeus vannamei) 水产养殖在全球范围内至关重要.
- 白斑综合症病毒 (WSSV) 对生产构成重大威胁.
- 精确估计生长和疾病耐药性的遗传参数对于选择性繁殖至关重要.
研究的目的:
- 精确评估Litopenaeus vannamei.的生长和WSSV耐药性特征的遗传参数.
- 为了比较基于血统的最好的线性无偏预测 (pBLUP) 与基因组方法 (GBLUP,ssGBLUP) 的有效性.
- 评估不同预测模型对遗传性和预测准确性的影响.
主要方法:
- 对20个家族的1017个Litopenaeus vannamei个体进行了受控的WSSV挑战试验.
- 收集了体重 (BW),整体长度 (OL),身体长度 (BL),尾巴长度 (TL) 和生存率 (HPI) 的表型数据.
- 在293个个体的全基因组重新测序中,产生了18,137,179个SNP位点,用于pBLUP,GBLUP和单阶段GBLUP (ssGBLUP) 模型.
主要成果:
- 与pBLUP相比,GBLUP和ssGBLUP模型对WSSV耐药性的遗传性更高.
- 基因组预测模型显著提高了预测准确度,ssGBLUP提高了HPI准确度122.58%和GBLUP提高了63.44%.
- 从基因组模型中,WSSV耐药性和体型特征 (OL,BL,TL) 受益最多;BW显示最少的改善. 增长和WSSV耐药性之间的遗传相关性是低的和负的.
结论:
- 基因组最佳线性无偏预测 (GBLUP) 和单步 GBLUP (ssGBLUP) 对 pBLUP 在估计 Litopenaeus vannamei.的遗传参数方面具有显著的优势.
- 这些基因组方法为开发有效的繁殖计划提供了坚实的基础,以增强的生长和WSSV抵抗力.
- 这些发现支持基因组选择对提高水产养殖中抗病能力和生产力的有用性.
关键词:
利托佩内亚斯 (Litopenaeus vannamei) 是一个水族群.在 WSSV 阻力方面,WSSV 阻力增长的增长增长的增长增长的增长.ssGBLUPUP 是一个整个基因组的重新排序.更多相关视频
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