Identification of quantitative trait loci and candidate genes associated with growth curve parameters in chinese wenshang barred chickens

Yan Zhou; Jie Liu; Qiuxia Lei; Haixia Han; Wei Liu; Dapeng Li; Yan Sun; Dan Hao; Fuwei Li; Dingguo Cao; Jie Wang

doi:10.1016/j.psj.2025.104767

Identification of quantitative trait loci and candidate genes associated with growth curve parameters in chinese wenshang barred chickens

Poult Sci. 2025 Jan 2;104(2):104767. doi: 10.1016/j.psj.2025.104767. Online ahead of print.

Authors

Yan Zhou¹, Jie Liu¹, Qiuxia Lei¹, Haixia Han¹, Wei Liu¹, Dapeng Li¹, Yan Sun¹, Dan Hao¹, Fuwei Li¹, Dingguo Cao¹, Jie Wang²

Affiliations

¹ 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.
² 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. Electronic address: wangjie4007@126.com.

PMID: 39778364
DOI: 10.1016/j.psj.2025.104767

Abstract

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 (R² = 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.

Keywords: GWAS; Growth curve model; Longitudinal data.