Department of Animal Science, College of Agriculture, Isfahan University of Technology, PO Box 841583111, Isfahan, Iran.
Department of Animal Science, Faculty of Agriculture, Tarbiat Modares University, Tehran, 14115-336, Iran.
Anim Genet. 2021 Apr;52(2):171-184. doi: 10.1111/age.13038. Epub 2021 Jan 11.
The markers which are correlated with the growth curve parameters help in understanding the characteristics of individual growth during the rearing of livestock. This study aimed to identify a set of biomarkers through a GWAS for growth curve parameters in crossbred chickens using the Illumnia 60K chicken SNP Beadchip. Growth data were collected from a total of 301 birds from cross of a broiler line and native chickens. Using the Gompertz-Laird model, two growth curve parameters, the instantaneous growth rate per day (L) and the coefficient of relative growth or maturing index (k), were estimated. The L and k were used to estimate five derived parameters, namely asymptotic (mature) body weight, body weight at inflection point, age at the inflection point, average growth rate and maximum growth rate. These parameters were considered as phenotypic values in the GWAS based on generalized linear models. The results of the GWAS indicated 21 significant markers, which were located near or within 46 genes. A number of these genes, such as GH, RET, GRB14, FTSJ3 and CCK, are important for growth and meat quality in chickens, and some of them are growth related in other species such as sheep and cattle (GPI, XIRP2, GALNTL6, BMS1, THSD4, TRHDE, SHISA9, ACSL6 and DYNC1LI2). The other genes are associated with developmental biological pathways. These genes are particuarly related to body weight, average daily gain and growth QTL. The results of this study can shed light on the genetic mechanism of biological functions of growth factors in broiler chickens, which is useful for developing management practices and accelerating genetic progress in breeding programs.
与生长曲线参数相关的标记有助于了解家畜饲养过程中个体生长的特征。本研究旨在使用 Illumnia 60K 鸡 SNP Beadchip 对杂交鸡的生长曲线参数进行全基因组关联分析（GWAS），以确定一组生物标志物。从杂交肉鸡系和本地鸡的 301 只鸡中收集生长数据。使用 Gompertz-Laird 模型，估计了两个生长曲线参数，即日瞬时生长率（L）和相对生长系数或成熟指数（k）。使用 L 和 k 估计了五个衍生参数，即渐近（成熟）体重、拐点体重、拐点年龄、平均生长率和最大生长率。这些参数被认为是基于广义线性模型的 GWAS 的表型值。GWAS 的结果表明了 21 个显著的标记，这些标记位于或接近 46 个基因附近。其中一些基因，如 GH、RET、GRB14、FTSJ3 和 CCK，对鸡的生长和肉质很重要，其中一些基因在绵羊和牛等其他物种中与生长有关（GPI、XIRP2、GALNTL6、BMS1、THSD4、TRHDE、SHISA9、ACSL6 和 DYNC1LI2）。其他基因与发育生物学途径有关。这些基因特别与体重、平均日增重和生长 QTL 有关。本研究的结果可以揭示生长因子在肉鸡中的生物学功能的遗传机制，这对于制定管理措施和加速育种计划中的遗传进展非常有用。
