14 results on '"Zhang, Yanhua"'
Search Results
2. Genetic architecture and key regulatory genes of fatty acid composition in Gushi chicken breast muscle determined by GWAS and WGCNA
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Fan, Shengxin, Yuan, Pengtao, Li, Shuaihao, Li, Hongtai, Zhai, Bin, Li, Yuanfang, Zhang, Hongyuan, Gu, Jinxin, Li, Hong, Tian, Yadong, Kang, Xiangtao, Zhang, Yanhua, and Li, Guoxi
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- 2023
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3. Genome-wide association study of 17 serum biochemical indicators in a chicken F2 resource population
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Song, Haijie, Li, Wenting, Li, Yuanfang, Zhai, Bin, Guo, Yujie, Chen, Yi, Han, Ruili, Sun, Guirong, Jiang, Ruirui, Li, Zhuanjian, Yan, Fengbin, Li, Guoxi, Liu, Xiaojun, Zhang, Yanhua, Tian, Yadong, and Kang, Xiangtao
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- 2023
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4. LncRNAs and their regulatory networks in breast muscle tissue of Chinese Gushi chickens during late postnatal development
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Li, Yuanfang, Jin, Wenjiao, Zhai, Bin, Chen, Yi, Li, Guoxi, Zhang, Yanhua, Guo, Yujie, Sun, Guirong, Han, Ruili, Li, Zhuanjian, Li, Hong, Tian, Yadong, Liu, Xiaojun, and Kang, Xiangtao
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- 2021
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5. MicroRNAs and their regulatory networks in Chinese Gushi chicken abdominal adipose tissue during postnatal late development
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Chen, Yi, Zhao, Yinli, Jin, Wenjiao, Li, Yuanfang, Zhang, Yanhua, Ma, Xuejie, Sun, Guirong, Han, Ruili, Tian, Yadong, Li, Hong, Kang, Xiangtao, and Li, Guoxi
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- 2019
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6. Transcriptome profile in bursa of Fabricius reveals potential mode for stress-influenced immune function in chicken stress model
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Zhang, Yanhua, Zhou, Yanting, Sun, Guirong, Li, Kui, Li, Zhuanjian, Su, Aru, Liu, Xiaojun, Li, Guoxi, Jiang, Ruirui, Han, Ruili, Tian, Yadong, Kang, Xiangtao, and Yan, Fengbin
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- 2018
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7. Genome-wide association study of 17 serum biochemical indicators in a chicken F2 resource population.
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Song, Haijie, Li, Wenting, Li, Yuanfang, Zhai, Bin, Guo, Yujie, Chen, Yi, Han, Ruili, Sun, Guirong, Jiang, Ruirui, Li, Zhuanjian, Yan, Fengbin, Li, Guoxi, Liu, Xiaojun, Zhang, Yanhua, Tian, Yadong, and Kang, Xiangtao
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GENOME-wide association studies ,CHICKEN breeds ,CHICKENS ,SINGLE nucleotide polymorphisms ,ALKALINE phosphatase - Abstract
Background: Serum biochemical indicators are often regarded as direct reflections of animal metabolism and health. The molecular mechanisms underlying serum biochemical indicators metabolism of chicken (Gallus Gallus) have not been elucidated. Herein, we performed a genome-wide association study (GWAS) to identify the variation associated with serum biochemical indicators. The aim of this research was to broaden the understanding of the serum biochemical indicators in chickens. Results: A GWAS of serum biochemical indicators was carried out on 734 samples from an F2 Gushi× Anka chicken population. All chickens were genotyped by sequencing, 734 chickens and 321,314 variants were obtained after quality control. Based on these variants, a total of 236 single-nucleotide polymorphisms (SNPs) on 9 chicken chromosomes (GGAs) were identified to be significantly (-log
10 (P) > 5.72) associated with eight of seventeen serum biochemical indicators. Ten novel quantitative trait locis (QTLs) were identified for the 8 serum biochemical indicator traits of the F2 population. Literature mining revealed that the ALPL, BCHE, GGT2/GGT5 genes at loci GGA24, GGA9 and GGA15 might affect the alkaline phosphatase (AKP), cholinesterase (CHE) and γ-glutamyl transpeptidase (GGT) traits, respectively. Conclusion: The findings of the present study may contribute to a better understanding of the molecular mechanisms of chicken serum biochemical indicator regulation and provide a theoretical basis for chicken breeding programs. [ABSTRACT FROM AUTHOR]- Published
- 2023
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8. Chicken Pan-Genome Reveals Gene Content Variation and a Promoter Region Deletion in IGF2BP1 Affecting Body Size.
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Wang, Kejun, Hu, Haifei, Tian, Yadong, Li, Jingyi, Scheben, Armin, Zhang, Chenxi, Li, Yiyi, Wu, Junfeng, Yang, Lan, Fan, Xuewei, Sun, Guirong, Li, Donghua, Zhang, Yanhua, Han, Ruili, Jiang, Ruirui, Huang, Hetian, Yan, Fengbin, Wang, Yanbin, Li, Zhuanjian, and Li, Guoxi
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DOMESTICATION of animals ,CHICKENS ,POULTRY genetics ,CHICKEN breeds ,GENETIC code - Abstract
Domestication and breeding have reshaped the genomic architecture of chicken, but the retention and loss of genomic elements during these evolutionary processes remain unclear. We present the first chicken pan-genome constructed using 664 individuals, which identified an additional approximately 66.5-Mb sequences that are absent from the reference genome (GRCg6a). The constructed pan-genome encoded 20,491 predicated protein-coding genes, of which higher expression levels are observed in conserved genes relative to dispensable genes. Presence/absence variation (PAV) analyses demonstrated that gene PAV in chicken was shaped by selection, genetic drift, and hybridization. PAV-based genome-wide association studies identified numerous candidate mutations related to growth, carcass composition, meat quality, or physiological traits. Among them, a deletion in the promoter region of IGF2BP1 affecting chicken body size is reported, which is supported by functional studies and extra samples. This is the first time to report the causal variant of chicken body size quantitative trait locus located at chromosome 27 which was repeatedly reported. Therefore, the chicken pan-genome is a useful resource for biological discovery and breeding. It improves our understanding of chicken genome diversity and provides materials to unveil the evolution history of chicken domestication. [ABSTRACT FROM AUTHOR]
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- 2021
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9. Transcriptome Analysis of the Breast Muscle of Xichuan Black-Bone Chickens Under Tyrosine Supplementation Revealed the Mechanism of Tyrosine-Induced Melanin Deposition.
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Li, Donghua, Wang, Xinlei, Fu, Yawei, Zhang, Chenxi, Cao, Yanfang, Wang, Jie, Zhang, Yanhua, Li, Yuanfang, Chen, Yi, Li, Zhuanjian, Li, Wenting, Jiang, Ruirui, Sun, Guirong, Tian, Yadong, Li, Guoxi, and Kang, Xiangtao
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PECTORALIS muscle ,MELANINS ,TYROSINE ,SMOOTH muscle contraction ,VASCULAR smooth muscle ,CHICKENS - Abstract
The Xichuan black-bone chicken, which is a rare local chicken species in China, is an important genetic resource of black-bone chickens. Tyrosine can affect melanin production, but the molecular mechanism underlying tyrosine-induced melanin deposition in Xichuan black-bone chickens is poorly understood. Here, the blackness degree and melanin content of the breast muscle of Xichuan black-bone chickens fed a basic diet with five levels of added tyrosine (i.e., 0.2, 0.4, 0.6, 0.8, and 1.0%; these groups were denoted test groups I-V, respectively) were assessed, and the results showed that 0.8% tyrosine was the optimal level of added tyrosine. Moreover, the effects of tyrosine supplementation on the proliferation and tyrosinase content of melanocytes in Xichuan black-bone chickens were evaluated. The results revealed a dose-dependent relationship between tyrosine supplementation and melanocyte proliferation. In addition, 417 differentially expressed genes (DEGs), including 160 upregulated genes and 257 downregulated genes, were identified in a comparative analysis of the transcriptome profiles constructed using the pooled total RNA from breast muscle tissues of the control group and test group IV, respectively (fold change ≥2.0, P < 0.05). These DEGs were mainly involved in melanogenesis, the calcium signaling pathway, the Wnt signaling pathway, the mTOR signaling pathway, and vascular smooth muscle contraction. The pathway analysis of the DEGs identified some key genes associated with pigmentation, such as DCT and EDNRB2. In summary, the melanin content of breast muscle could be markedly enhanced by adding an appropriate amount of tyrosine to the diet of Xichuan black-bone chickens, and the EDNRB2 -mediated molecular regulatory network could play a key role in the biological process of tyrosine-induced melanin deposition. These results have deepened the understanding of the molecular regulatory mechanism of melanin deposition in black-bone chickens and provide a basis for the regulation of nutrition and genetic breeding associated with melanin deposition in Xichuan black-bone chickens. [ABSTRACT FROM AUTHOR]
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- 2019
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10. Analyses of MicroRNA and mRNA Expression Profiles Reveal the Crucial Interaction Networks and Pathways for Regulation of Chicken Breast Muscle Development.
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Li, Yuanfang, Chen, Yi, Jin, Wenjiao, Fu, Shouyi, Li, Donghua, Zhang, Yanhua, Sun, Guirong, Jiang, Ruirui, Han, Ruili, Li, Zhuanjian, Kang, Xiangtao, and Li, Guoxi
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PECTORALIS muscle ,MUSCLE growth ,BREAST ,DEVELOPMENTAL biology ,MESSENGER RNA - Abstract
There is a lack of understanding surrounding the molecular mechanisms involved in the development of chicken skeletal muscle in the late postnatal stage, especially in the regulation of breast muscle development related genes, pathways, miRNAs and other factors. In this study, 12 cDNA libraries and 4 small RNA libraries were constructed from Gushi chicken breast muscle samples from 6, 14, 22, and 30 weeks. A total of 15,508 known transcripts, 25,718 novel transcripts, 388 known miRNAs and 31 novel miRNAs were identified by RNA-seq in breast muscle at the four developmental stages. Through correlation analysis of miRNA and mRNA expression profiles, it was found that 417, 370, 240, 1,418, 496, and 363 negatively correlated miRNA–mRNA pairs of W14 vs. W6 , W22 vs. W6 , W22 vs. W14 , W30 vs. W6 , W30 vs. W14 , and W30 vs. W22 comparisons, respectively. Based on the annotation analysis of these miRNA–mRNA pairs, we constructed the miRNA–mRNA interaction network related to biological processes, such as muscle cell differentiation, striated muscle tissue development and skeletal muscle cell differentiation. The interaction networks for signaling pathways related to five KEGG pathways (the focal adhesion, ECM-receptor interaction, FoxO signaling, cell cycle, and p53 signaling pathways) and PPI networks were also constructed. We found that ANKRD1 , EYA2 , JSC , AGT , MYBPC3 , MYH11 , ACTC1 , FHL2 , RCAN1 , FOS , EGR1 , and FOXO3 , PTEN , AKT1 , GADD45 , PLK1 , CCNB2 , CCNB3 and other genes were the key core nodes of these networks, most of which are targets of miRNAs. The FoxO signaling pathway was in the center of the five pathway-related networks. In the PPI network, there was a clear interaction among PLK1 and CDK1 , CCNB2 , CDK1 , and GADD45B , and CDC45 , ORC1 and MCM3 genes. These results increase the understanding for the molecular mechanisms of chicken breast muscle development, and also provide a basis for studying the interactions between genes and miRNAs, as well as the functions of the pathways involved in postnatal developmental regulation of chicken breast muscle. [ABSTRACT FROM AUTHOR]
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- 2019
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11. Estrogen promotes gonadotropin-releasing hormone expression by regulating tachykinin 3 and prodynorphin systems in chicken.
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Wu, Xing, Zhang, Zihao, Li, Yijie, Zhao, Yudian, Ren, Yangguang, Tian, Yixiang, Hou, Meng, Guo, Yulong, Li, Qi, Tian, Weihua, Jiang, Ruirui, Zhang, Yanhua, Gong, Yujie, Li, Hong, Li, Guoxi, Liu, Xiaojun, Kang, Xiangtao, Li, Donghua, and Tian, Yadong
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GENE expression , *GONADOTROPIN releasing hormone , *CHICKENS , *ESTROGEN receptors , *KISSPEPTINS , *PRECOCIOUS puberty - Abstract
The "KNDy neurons" located in the hypothalamic arcuate nucleus (ARC) of mammals are known to co-express kisspeptin, neurokinin B (NKB), and dynorphin (DYN), and have been identified as key mediators of the feedback regulation of steroid hormones on gonadotropin-releasing hormone (GnRH). However, in birds, the genes encoding kisspeptin and its receptor GPR54 are genomic lost, leaving unclear mechanisms for feedback regulation of GnRH by steroid hormones. Here, the genes tachykinin 3 ( TAC3 ) and prodynorphin ( PDYN ) encoding chicken NKB and DYN neuropeptides were successfully cloned. Temporal expression profiling indicated that TAC3, PDYN and their receptor genes (TACR3, OPRK1) were mainly expressed in the hypothalamus, with significantly higher expression at 30W than at 15W. Furthermore, overexpression or interference of TAC3 and PDYN can regulate the GnRH mRNA expression. In addition, in vivo and in vitro assays showed that estrogen (E2) could promote the mRNA expression of TAC3, PDYN , and GnRH , as well as the secretion of GnRH/LH. Mechanistically, E2 could dimerize the nuclear estrogen receptor 1 (ESR1) to regulate the expression of TAC3 and PDYN , which promoted the mRNA and protein expression of GnRH gene as well as the secretion of GnRH. In conclusion, these results revealed that E2 could regulate the GnRH expression through TAC3 and PDYN systems, providing novel insights for reproductive regulation in chickens. [ABSTRACT FROM AUTHOR]
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- 2024
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12. Identification of genes related to effects of stress on immune function in the spleen in a chicken stress model using transcriptome analysis.
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Guo, Yujie, Jiang, Ruirui, Su, Aru, Tian, Huihui, Zhang, Yanhua, Li, Wenting, Tian, Yadong, Li, Kui, Sun, Guirong, Han, Ruili, Yan, Fengbin, and Kang, Xiangtao
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CORTISONE , *PSYCHONEUROIMMUNOLOGY , *SPLEEN , *GENES , *PROTEIN-protein interactions , *RNA sequencing , *ENDOPLASMIC reticulum - Abstract
• 7-day-old Gushi cocks stress model was successfully constructed by adding corticosterone (CORT) 30 mg/kg basic diet for 7 days. • A total of 269 CORT-induced spleen significantly differentially expressed genes were obtained by RNA-seq. • HSPA8, HSPA2 and IL8L1 may play important roles in the regulation of CORT-induced stress effects on immune function. Stress is a physiological manifestation of the body's defense against adverse effects of external environment, but the molecular regulatory mechanism of stress effects on immune function of poultry has not been fully clarified. In this study, 7-day-old Chinese local breed Gushi cocks were used as model animal, and the stress model was successfully constructed by adding corticosterone (CORT) 30 mg/kg basic diet for 7 days. The spleen transcriptomes of the control group (B_S group) and the stress model group (C_S group) was determined by high-throughput mRNA sequencing (RNA-Seq) technology, and a total of 269 significantly differentially expressed genes (SDEGs) were obtained (P adj < 0.05, |FC| ≥ 2 and FPKM > 1). Compared with B_S group, there were 140 significantly up-regulated genes and 129 significantly down-regulated genes in C_S group. The immune/stress-related Gene Ontology (GO) terms included positive regulation of T cell mediated immunity, chemokine-mediated signaling pathway, T cell mediated immunity and so on. The SDEGs such as IL8L1 , HSPA8 , HSPA2 , RSAD2 , CCR8L and DMB1 were involved in these GO terms. Kyoto encyclopedia of genes and genomes (KEGG) enrichment analysis showed that the SDEGs participated in many immune-related signaling pathways. The immune-related genes HSPA2 , HSPA8 , HSP90AA1 , HSPH1 and HERPUD1 were enriched in Protein processing in endoplasmic reticulum pathway, IL8L1 , CXCL13L2 , CCR6 , LEPR , CCR9 and CCR8L were enriched in Cytokine-cytokine receptor interaction pathway. The protein-protein interactions (PPI) analysis showed HSPA8 , HSPA2 and IL8L1 as key core nodes had 7 interactions and may play important roles in the regulation of CORT-induced stress effects on immune function. The data onto this study enriched the genomic study of stress effects on immune function, and provided unique insights into the molecular mechanism of stress effects on immune function, and the genes identified in this study can be candidates for future research on stress response. [ABSTRACT FROM AUTHOR]
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- 2020
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13. Adiponectin inhibits GnRH secretion via activating AMPK and PI3K signaling pathways in chicken hypothalamic neuron cells.
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Wu, Xing, Tao, Yiqing, Ren, Yangguang, Zhang, Zihao, Zhao, Yudian, Tian, Yixiang, Li, Yijie, Hou, Meng, Guo, Yulong, Gong, Yujie, Zhang, Yanhua, Li, Donghua, Li, Hong, Jiang, Ruirui, Li, Guoxi, Liu, Xiaojun, Kang, Xiangtao, and Tian, Yadong
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AMP-activated protein kinases , *GONADOTROPIN releasing hormone , *HYPOTHALAMUS , *HYPOTHALAMIC hormones , *CHICKENS , *PHOSPHATIDYLINOSITOL 3-kinases - Abstract
It has been reported that adiponectin (AdipoQ), an adipokine secreted by white adipose tissue, plays an important role in the control of animal reproduction in addition to its function in energy homeostasis by binding to its receptors AdipoR1/2. However, the molecular mechanisms of AdipoQ in the regulation of animal reproduction remain elusive. In this study, we investigated the effects of AdipoQ on hypothalamic reproductive hormone (GnRH) secretion and reproduction-related receptor gene (estrogen receptor [ ER ] and progesterone receptor [ PR ]) expression in hypothalamic neuronal cells (HNCs) of chickens by using real-time fluorescent quantitative PCR (RT-qPCR), enzyme-linked immunosorbent assay (ELISA), Western blot (WB) and cell counting kit-8 (CCK-8) assays and found that overexpression of AdipoQ could increase the expression levels of AdipoR1/2 and reproduction-related receptor genes (P < 0.05) while decreasing the expression level of GnRH. In contrast, interference with AdipoQ mRNA showed the opposite results in HNCs. Furthermore, we demonstrated that AdipoQ exerts its functions through the AMPK and PI3K signaling pathways. Finally, our in vitro experiments found that AdipoRon (a synthetic substitute for AdipoQ) treatment and AdipoR1/2 RNAi interference co-treatment resulted in no effect on GnRH secretion, suggesting that the inhibition of GnRH secretion by AdipoQ is mediated by the AdipoR1/2 signaling axis. In summary, we uncovered, for the first time, the molecular mechanism of AdipoQ in the regulation of reproductive hormone secretion in hypothalamic neurons in chickens. [ABSTRACT FROM AUTHOR]
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- 2023
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14. Evolutionary analysis and functional characterization reveal the role of the insulin-like growth factor system in a diversified selection of chickens (Gallus gallus).
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Guo, Yulong, Zhang, Ke, Geng, Wanzhuo, Chen, Botong, Wang, Dandan, Wang, Zhang, Tian, Weihua, Li, Hong, Zhang, Yanhua, Jiang, Ruirui, Li, Zhuanjian, Tian, Yadong, Kang, Xiangtao, and Liu, Xiaojun
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SOMATOMEDIN , *CHICKENS , *INSULIN-like growth factor-binding proteins , *CHICKEN breeds , *FUNCTIONAL analysis , *SKELETAL muscle , *BREAST - Abstract
The insulin-like growth factor (IGF) system plays an indispensable role in embryonic and postnatal development in mammals. However, the effects of the system on growth, carcass, and egg-laying traits, and diversified selection have not been systematically studied in chickens. In the present study, firstly the composition and gene structures of the chicken IGF system were investigated using phylogenetic tree and conserved synteny analysis. Then the effects of the genetic variations in the IGF system genes on breeding of specialized varieties were explored by principal component analysis. In addition, the spatiotemporal expression properties of the genes in this system were analyzed by RT-qPCR and the functions of the genes in egg production performance and growth were explored by association study. Moreover, the effects of IGF-binding proteins 3 ( IGFBP3 ) on skeletal muscle development in chicken were investigated by cell cycle analysis, 5-ethynyl-2′-deoxyuridine (EdU) and Cell Counting Kit-8 (CCK-8) assays. The results showed that the chicken IGF system included 13 members which could be classified into 3 groups based on their amino acid sequences: IGF binding proteins 1 to 5 and 7 (IGFBP1 – 5 and 7) belonged to the first group; IGF 1 and 2 (IGF1 and IGF2), and IGF 1 and 2 receptor (IGF1R and IGF2R) belonged to the second group; and IGF2 binding proteins 1–3 (IGF2BP1 – 3) belonged to the third group. The IGF2BP1 and 3 , and IGFBP2, 3 , and 7 genes likely contributed more to the formation of both the specialized meat-type and egg-type lines, whereas IGFBP1 and 5 likely contributed more to the formation of the egg-type lines. The SNPs in the IGF2BP3 and IGFBP2 and 5 genes were significantly associated with egg number, and SNPs in the IGFBP3 promoter region were significantly associated with body weight, breast muscle weight and leg muscle weight. The IGFBP3 inhibited proliferation but promoted differentiation of chicken primary myoblasts (CPMs). These results provide insights into the roles of the IGF system in the diversified selection of chickens. The SNPs associated with egg-laying performance, growth, and carcass traits could be used as genetic markers for breeding selection of chickens in the future. [ABSTRACT FROM AUTHOR]
- Published
- 2023
- Full Text
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