Identification of quantitative trait loci and candidate genes associated with growth curve parameters in chinese wenshang barred chickens
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...
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Elsevier
2025-02-01
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| Series: | Poultry Science |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S0032579125000045 |
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| author | Yan Zhou Jie Liu Qiuxia Lei Haixia Han Wei Liu Dapeng Li Yan Sun Dan Hao Fuwei Li Dingguo Cao Jie Wang |
| author_facet | Yan Zhou Jie Liu Qiuxia Lei Haixia Han Wei Liu Dapeng Li Yan Sun Dan Hao Fuwei Li Dingguo Cao Jie Wang |
| author_sort | Yan Zhou |
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| description | 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. |
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| institution | Kabale University |
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| language | English |
| publishDate | 2025-02-01 |
| publisher | Elsevier |
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| series | Poultry Science |
| spelling | doaj-art-c49a891b536d47c68211ec6c97e923902025-01-09T06:12:10ZengElsevierPoultry Science0032-57912025-02-011042104767Identification of quantitative trait loci and candidate genes associated with growth curve parameters in chinese wenshang barred chickensYan Zhou0Jie Liu1Qiuxia Lei2Haixia Han3Wei Liu4Dapeng Li5Yan Sun6Dan Hao7Fuwei Li8Dingguo Cao9Jie Wang10Poultry 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, ChinaPoultry 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, ChinaPoultry 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, ChinaPoultry 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, ChinaPoultry 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, ChinaPoultry 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, ChinaPoultry 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, ChinaPoultry 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, ChinaPoultry 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, ChinaPoultry 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, ChinaCorresponding author at: Poultry Institute, Shandong Academy of Agricultural Sciences, 250100 Ji'nan, 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, ChinaThe 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.http://www.sciencedirect.com/science/article/pii/S0032579125000045Longitudinal dataGrowth curve modelGWAS |
| spellingShingle | Yan Zhou Jie Liu Qiuxia Lei Haixia Han Wei Liu Dapeng Li Yan Sun Dan Hao Fuwei Li Dingguo Cao Jie Wang Identification of quantitative trait loci and candidate genes associated with growth curve parameters in chinese wenshang barred chickens Poultry Science Longitudinal data Growth curve model GWAS |
| title | Identification of quantitative trait loci and candidate genes associated with growth curve parameters in chinese wenshang barred chickens |
| title_full | Identification of quantitative trait loci and candidate genes associated with growth curve parameters in chinese wenshang barred chickens |
| title_fullStr | Identification of quantitative trait loci and candidate genes associated with growth curve parameters in chinese wenshang barred chickens |
| title_full_unstemmed | Identification of quantitative trait loci and candidate genes associated with growth curve parameters in chinese wenshang barred chickens |
| title_short | Identification of quantitative trait loci and candidate genes associated with growth curve parameters in chinese wenshang barred chickens |
| title_sort | identification of quantitative trait loci and candidate genes associated with growth curve parameters in chinese wenshang barred chickens |
| topic | Longitudinal data Growth curve model GWAS |
| url | http://www.sciencedirect.com/science/article/pii/S0032579125000045 |
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