Ren Shengjie, Mather Peter B, Tang Binguo, Hurwood David A
Faculty of Science, Queensland University of Technology, Brisbane, QLD, Australia.
Beijing Shuishiji Biotechnology Co., Ltd., Beijing, China.
Front Genet. 2022 Oct 13;13:1018568. doi: 10.3389/fgene.2022.1018568. eCollection 2022.
Survival can be considered a relatively 'old' trait in animal breeding, yet commonly neglected in aquaculture breeding because of the simple binary records and generally low heritability estimates. Developing routine genetic evaluation systems for survival traits however, will be important for breeding robust strains based on valuable field survival data. In the current study, linear multivariate animal model (LMA) was used for the genetic analysis of survival records from 2-year classes (BL2019 and BL2020) of pacific white shrimp () breeding lines with data collection of 52, 248 individuals from 481 fullsib families. During grow-out test period, 10 days intervals of survival data were considered as separate traits. Two survival definitions, binary survivability (S) and continuous survival in days (SL), were used for the genetic analysis of survival records to investigate; 1) whether adding more survival time information could improve estimation of genetic parameters; 2) the trajectory of survival heritability across time, and 3) patterns of genetic correlations of survival traits across time. Levels of heritability estimates for both S and SL were low (0.005-0.076), while heritability for survival day number was found to be similar with that of binary records at each observation time and were highly genetically correlated ( > 0.8). Heritability estimates of body weight (BW) for BL2019 and BL2020 were 0.486 and 0.373, respectively. Trajectories of survival heritability showed a gradual increase across the grow-out test period but slowed or reached a plateau during the later grow-out test period. Genetic correlations among survival traits in the grow-out tests were moderate to high, and the closer the times were between estimates, the higher were their genetic correlations. In contrast, genetic correlations between both survival traits and body weight were low but positive. Here we provide the first report on the trajectory of heritability estimates for survival traits across grow-out stage in aquaculture. Results will be useful for developing robust improved pacific white shrimp culture strains in selective breeding programs based on field survival data.
在动物育种中,生存能力可被视为一个相对“古老”的性状,但在水产养殖育种中却常被忽视,原因是记录简单且通常遗传力估计值较低。然而,基于有价值的现场生存数据开发生存性状的常规遗传评估系统,对于培育健壮品系至关重要。在本研究中,线性多变量动物模型(LMA)被用于对太平洋白虾()两个养殖年度(BL2019和BL2020)育种系的生存记录进行遗传分析,数据收集自481个全同胞家系的52248个个体。在养成测试期间,每隔10天的生存数据被视为单独的性状。采用两种生存定义,即二元生存能力(S)和以天数计的连续生存时间(SL),对生存记录进行遗传分析,以研究:1)增加更多生存时间信息是否能改善遗传参数估计;2)生存遗传力随时间的变化轨迹;3)生存性状随时间的遗传相关模式。S和SL的遗传力估计值均较低(0.005 - 0.076),而在每个观察时间点,生存天数的遗传力与二元记录的遗传力相似,且遗传相关性很高(>0.8)。BL2019和BL2020的体重(BW)遗传力估计值分别为0.486和0.373。生存遗传力的变化轨迹在养成测试期间呈逐渐上升趋势,但在后期养成测试期间增速减缓或趋于平稳。养成测试中生存性状之间的遗传相关性为中度到高度,估计时间间隔越近,遗传相关性越高。相比之下,生存性状与体重之间的遗传相关性较低但为正相关。在此,我们首次报告了水产养殖中养成阶段生存性状遗传力估计的变化轨迹。研究结果将有助于基于现场生存数据在选择性育种计划中培育健壮的改良太平洋白虾养殖品系。