Zhou Yan, Liu Jie, Lei Qiuxia, Han Haixia, Liu Wei, Li Dapeng, Sun Yan, Hao Dan, Li Fuwei, Cao Dingguo, Wang Jie
Poultry Institute, Shandong Academy of Agricultural Sciences, Jinan 250023, Shandong, China; Jinan Key Laboratory of Poultry Germplasm Resources Innovation and Healthy Breeding, Jinan 250023, Shandong, China; Shandong Provincial Key Laboratory of Livestock and Poultry Breeding (PKL2024B15), Jinan 250023, Shandong, China.
Poultry Institute, Shandong Academy of Agricultural Sciences, Jinan 250023, Shandong, China; Jinan Key Laboratory of Poultry Germplasm Resources Innovation and Healthy Breeding, Jinan 250023, Shandong, China; Shandong Provincial Key Laboratory of Livestock and Poultry Breeding (PKL2024B15), Jinan 250023, Shandong, China.
Poult Sci. 2025 Feb;104(2):104767. doi: 10.1016/j.psj.2025.104767. Epub 2025 Jan 2.
The growth curve is a vital instrument for assessing and forecasting weight and developmental shifts in livestock and poultry, which reflects the changes of bodyweight traits with time and plays a key role in guiding breeding and production approaches. This study performed a genome-wide association study (GWAS) for growth curve parameters generated by nonlinear models which fit original weight-age records, to discover the SNPs and candidate genes correlated with growth traits. Data from 362 Chinese Wenshang Barred Chickens weighed at the age of 0, 2, 4, 6, 8, 10, 12, 14, 16, and 18 weeks were used to fit the Gompertz, Logistic, and von Bertalanffy growth models. The Gompertz model showed the highest coefficient of determination (R = 0.974). The mature body weight (A), time scale (b), and maturity rate (k) were treated as phenotypes for single-trait GWAS. The GWAS identified 44, 103, and 5 significant single nucleotide polymorphisms (SNPs) associated with A, b, and K, respectively. Among them, several candidate genes, including LDB2, TOB2, RCBTB1, KPNA3, SLIT2, LCORL, LAP3, and TPRA1, were previously reported to be associated with growth and development. Two lead SNPs (4:76022389, 4:76070237) on the LDB2 gene were significantly associated with the growth curve. Further research of these candidate genes could help explore the full genetic architecture underlying growth and development traits in poultry.
生长曲线是评估和预测畜禽体重及发育变化的重要工具，它反映了体重性状随时间的变化，对指导育种和生产方法起着关键作用。本研究针对通过拟合原始体重-年龄记录的非线性模型生成的生长曲线参数进行了全基因组关联研究（GWAS），以发现与生长性状相关的单核苷酸多态性（SNP）和候选基因。使用362只中国汶上芦花鸡在0、2、4、6、8、10、12、14、16和18周龄时的体重数据来拟合Gompertz、Logistic和von Bertalanffy生长模型。Gompertz模型显示出最高的决定系数（R = 0.974）。将成熟体重（A）、时间尺度（b）和成熟率（k）作为单性状GWAS的表型。GWAS分别鉴定出与A、b和K相关的44个、103个和5个显著单核苷酸多态性（SNP）。其中，包括LDB2、TOB2、RCBTB1、KPNA3、SLIT2、LCORL、LAP3和TPRA1在内的几个候选基因先前已被报道与生长发育相关。LDB2基因上的两个主要SNP（4:76022389，4:76070237）与生长曲线显著相关。对这些候选基因的进一步研究有助于探索家禽生长发育性状背后完整的遗传结构。
