Zhang Hailiang, Liu Aoxing, Wang Yachun, Luo Hanpeng, Yan Xinyi, Guo Xiangyu, Li Xiang, Liu Lin, Su Guosheng
Key Laboratory of Animal Genetics, Breeding and Reproduction, MARA, National Engineering Laboratory of Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing, China.
Center for Quantitative Genetics and Genomics, Aarhus University, Tjele, Denmark.
Front Genet. 2021 Feb 25;12:634986. doi: 10.3389/fgene.2021.634986. eCollection 2021.
Due to the complexity of longevity trait in dairy cattle, two groups of trait definitions are widely used to measure longevity, either covering the full lifespan or representing only a part of it to achieve an early selection. Usually, only one group of longevity definition is used in breeding program for one population, and genetic studies on the comparisons of two groups of trait definitions are scarce. Based on the data of eight traits well representing the both groups of trait definitions, the current study investigated genetic parameters and genetic architectures of longevity in Holsteins. Heritabilities and correlations of eight longevity traits were estimated using single-trait and multi-trait animal models, with the data from 103,479 cows. Among the cows with phenotypes, 2,630 cows were genotyped with the 150K-SNP panel. A single-trait fixed and random Circuitous Probability Unification model was performed to detect candidate genes for eight longevity traits. Generally, all eight longevity traits had low heritabilities, ranging from 0.038 for total productive life and herd life to 0.090 for days from the first calving to the end of first lactation or culling. High genetic correlations were observed among the traits within the same definition group: from 0.946 to 0.997 for three traits reflecting full lifespan and from 0.666 to 0.997 for five traits reflecting partial productive life. Genetic correlations between two groups of traits ranged from 0.648 to 0.963, and increased gradually with the extension of lactations number regarding the partial productive life traits. A total of 55 SNPs located on 25 chromosomes were found genome-wide significantly associated with longevity, in which 12 SNPs were associated with more than one trait, even across traits of different definition groups. This is the first study to investigate the genetic architecture of longevity representing both full and the partial lifespan simultaneously, which will assist the selection of an appropriate trait definition for genetic improvement of longevity. Because of high genetic correlations with the full lifespan traits and higher heritability, the partial productive life trait measured as the days from the first calving to the end of the third lactation or culling could be a good alternative for early selection on longevity. The candidate genes identified by this study, such as RPRM, GRIA3, GTF2H5, CA5A, CACNA2D1, FGF10, and DNAJA3, could be used to pinpoint causative mutations for longevity and further benefit the genomic improvement of longevity in dairy cattle.
由于奶牛长寿性状的复杂性,目前广泛使用两组性状定义来衡量长寿,一组涵盖整个寿命期,另一组仅代表其中一部分以实现早期选择。通常,在一个群体的育种计划中仅使用一组长寿定义,而关于两组性状定义比较的遗传学研究很少。基于很好地代表两组性状定义的八个性状的数据,本研究调查了荷斯坦奶牛长寿的遗传参数和遗传结构。使用单性状和多性状动物模型,利用103,479头奶牛的数据估计了八个长寿性状的遗传力和相关性。在有表型的奶牛中,2630头奶牛用150K-SNP芯片进行了基因分型。采用单性状固定和随机迂回概率统一模型检测八个长寿性状的候选基因。总体而言,所有八个长寿性状的遗传力都较低,从总生产寿命和牛群寿命的0.038到首次产犊至第一次泌乳期末或淘汰的天数的0.090不等。在同一定义组内的性状之间观察到高遗传相关性:反映整个寿命期的三个性状的遗传相关性为0.946至0.997,反映部分生产寿命的五个性状的遗传相关性为0.666至0.997。两组性状之间的遗传相关性为0.648至0.963,并且对于部分生产寿命性状,随着泌乳次数的增加而逐渐增加。在全基因组范围内共发现25条染色体上的55个SNP与长寿显著相关,其中12个SNP与多个性状相关,甚至跨越不同定义组的性状。这是第一项同时研究代表整个寿命期和部分寿命期的长寿遗传结构的研究,这将有助于选择合适的性状定义以进行长寿的遗传改良。由于与整个寿命期性状的高遗传相关性和较高的遗传力,以首次产犊至第三次泌乳期末或淘汰的天数衡量的部分生产寿命性状可能是长寿早期选择的一个良好替代指标。本研究鉴定的候选基因,如RPRM、GRIA3、GTF2H5、CA5A、CACNA2D1、FGF10和DNAJA3,可用于确定长寿的致病突变,并进一步促进奶牛长寿的基因组改良。