Differential expression of six chicken genes associated with fatness traits in a divergently selected broiler population

文献类型： 外文期刊

第一作者： Wu, Xianwen

作者： Wu, Xianwen;Zhang, Qi;Xu, Songsong;Jin, Pengcheng;Luan, Peng;Li, Yumao;Cao, Zhiping;Leng, Li;Wang, Yuxiang;Wang, Shouzhi;Wu, Xianwen;Zhang, Qi;Xu, Songsong;Jin, Pengcheng;Luan, Peng;Li, Yumao;Cao, Zhiping;Leng, Li;Wang, Yuxiang;Wang, Shouzhi;Wu, Xianwen;Zhang, Qi;Xu, Songsong;Jin, Pengcheng;Luan, Peng;Li, Yumao;Cao, Zhiping;Leng, Li;Wang, Yuxiang;Wang, Shouzhi

作者机构：

关键词： Chicken;Abdominal fat;Liver;Candidate genes;Differential expression

期刊名称：MOLECULAR AND CELLULAR PROBES （ 影响因子：2.365； 五年影响因子：2.386 ）

ISSN：

年卷期：

页码：

收录情况： SCI

摘要： A genome-wide association study has shown a number of chicken (Gallus gallus) single nucleotide polymorphism (SNP) markers to be significantly associated with abdominal fat content in Northeast Agricultural University (NEAU) broiler lines selected divergently for abdominal fat content (NEAUHLF). The six significant SNPs are located in the kinase insert domain receptor (KDR), tumor suppressor candidate 3 (TUSC3), phosphoribosyl pyrophosphate amidotransferase (PPAT), exocyst complex component 1 (EXOC1), v-myb myeloblastosis viral oncogene homolog (avian)-like 2 (MYBL2) and KIAA1211 (undefined) genes. In this study, the expression levels of these genes were investigated in both abdominal fat and liver tissues using 32 14th generation chickens from the NEAUHLF. The levels of expression of KDR in abdominal fat and KDR and TUSC3 in liver differed significantly between the two lines. The expression level of KDR in the abdominal fat was significantly correlated with the abdominal fat weight (AFW) and abdominal fat percentage (AFP). The expression levels of KDR, TUSC3 and PPAT in liver were significantly correlated with AFW and AFP, indicating that the six genes, especially KDR and TUSC3, could be associated with fat traits in domestic chickens. This study could provide insight into the mechanisms underlying the formation of abdominal fat in chickens. (C) 2015 Elsevier Ltd. All rights reserved.

分类号： R44

  • 相关文献

[1]The identification of 14 new genes for meat quality traits in chicken using a genome-wide association study. Sun, Yanfa,Zhao, Guiping,Liu, Ranran,Zheng, Maiqing,Hu, Yaodong,Wu, Dan,Zhang, Lei,Li, Peng,Wen, Jie,Zhao, Guiping,Liu, Ranran,Zheng, Maiqing,Li, Peng,Wen, Jie,Sun, Yanfa,Wen, Jie. 2013

[2]Detection of genome-wide copy number variations in two chicken lines divergently selected for abdominal fat content. Zhang, Hui,Du, Zhi-Qiang,Dong, Jia-Qiang,Wang, Hai-Xia,Shi, Hong-Yan,Wang, Ning,Wang, Shou-Zhi,Li, Hui,Zhang, Hui,Du, Zhi-Qiang,Dong, Jia-Qiang,Wang, Hai-Xia,Shi, Hong-Yan,Wang, Ning,Wang, Shou-Zhi,Li, Hui,Zhang, Hui,Du, Zhi-Qiang,Dong, Jia-Qiang,Wang, Hai-Xia,Shi, Hong-Yan,Wang, Ning,Wang, Shou-Zhi,Li, Hui. 2014

[3]Construction of multiple linear regression models using blood biomarkers for selecting against abdominal fat traits in broilers. Dong, J. Q.,Zhang, X. Y.,Wang, S. Z.,Zhang, K.,Ma, G. W.,Wu, M. Q.,Li, H.,Zhang, H.,Dong, J. Q.,Zhang, X. Y.,Wang, S. Z.,Zhang, K.,Ma, G. W.,Wu, M. Q.,Li, H.,Zhang, H.,Dong, J. Q.,Zhang, X. Y.,Wang, S. Z.,Zhang, K.,Ma, G. W.,Wu, M. Q.,Li, H.,Zhang, H.,Dong, J. Q.,Jiang, X. F.. 2018

[4]Comparison of serum biochemical parameters between two broiler chicken lines divergently selected for abdominal fat content. Dong, J. -Q.,Zhang, H.,Wang, S. -Z.,Du, Z. -Q.,Wang, Z. -P.,Leng, L.,Cao, Z. -P.,Li, Y. -M.,Luan, P.,Li, H.,Dong, J. -Q.,Zhang, H.,Wang, S. -Z.,Du, Z. -Q.,Wang, Z. -P.,Leng, L.,Cao, Z. -P.,Li, Y. -M.,Luan, P.,Li, H.,Dong, J. -Q.,Zhang, H.,Wang, S. -Z.,Du, Z. -Q.,Wang, Z. -P.,Leng, L.,Cao, Z. -P.,Li, Y. -M.,Luan, P.,Li, H.,Jiang, X. -F..

[5]Identification of loci and genes for growth related traits from a genome-wide association study in a slow- x fast-growing broiler chicken cross. Liu, Ranran,Sun, Yanfa,Zhao, Guiping,Wang, Hongyang,Zheng, Maiqing,Li, Peng,Liu, Li,Wen, Jie,Sun, Yanfa,Liu, Ranran,Zhao, Guiping,Wang, Hongyang,Zheng, Maiqing,Wen, Jie.

[6]Genome-Wide Linkage Analysis and Association Study Identifies Loci for Polydactyly in Chickens. Sun, Yanfa,Liu, Ranran,Zhao, Guiping,Zheng, Maiqing,Sun, Yan,Yu, Xiaoqiong,Li, Peng,Wen, Jie,Sun, Yanfa,Liu, Ranran,Zhao, Guiping,Zheng, Maiqing,Wen, Jie,Sun, Yanfa. 2014

[7]Chicken GHR natural antisense transcript regulates GHR mRNA in LMH cells. Zhang, Li,Lin, Shudai,Ma, Jinge,Qiu, Fengfang,Nie, Qinghua,Zhang, Dexiang,Luo, Qingbin,Zhang, Xiquan,Zhang, Li,An, Lilong,Jia, Rumin,Li, Ting,Wang, Zhang. 2016

[8]Microarray analysis of differentially expressed genes in the liver between Bai'er layers and broilers. Wang, Q. -G.,Zhang, H. -F.,Wang, S. -Z.,Gao, G. L.,Leng, L.,Na, W.,Li, H.,Wang, Q. -G.,Zhang, H. -F.,Wang, S. -Z.,Gao, G. L.,Leng, L.,Na, W.,Li, H.,Zhang, H. -F.,Wang, S. -Z.,Leng, L.,Na, W.,Li, H.,Wang, Q. -G.,Gao, G. L.. 2015

[9]A genome-wide scan of selective sweeps in two broiler chicken lines divergently selected for abdominal fat content. Zhang, Hui,Wang, Shou-Zhi,Wang, Zhi-Peng,Wang, Ning,Wang, Yu-Xiang,Leng, Li,Tang, Zhi-Quan,Li, Hui,Zhang, Hui,Wang, Shou-Zhi,Wang, Zhi-Peng,Wang, Ning,Wang, Yu-Xiang,Leng, Li,Tang, Zhi-Quan,Li, Hui,Da, Yang,Hu, Xiao-Xiang,Zhang, Yuan-Dan. 2012

[10]Follicle-stimulating hormone increases the intramuscular fat content and expression of lipid biosynthesis genes in chicken breast muscle. Cui, Xiao-yan,Li, Ying-ying,Liu, Ran-ran,Zhao, Gui-ping,Zheng, Mai-qing,Li, Qing-he,Wen, Jie. 2016

[11]Transcriptome analysis of adiposity in domestic ducks by transcriptomic comparison with their wild counterparts. Chen, L.,Li, J. J.,Wang, D. Q.,Tian, Y.,Lu, L. Z.,Luo, J.,Li, J. X..

[12]Complementary deoxyribonucleic acid cloning of avian G0/G1 switch gene 2, and its expression and association with production traits in chicken. Pang, X.,Liu, W.,Nie, Q.,Zhang, X.,Zeng, F.,Pang, X.,Nie, Q.,Zhang, X.,Xie, L..

[13]QTL Mapping by Whole Genome Re-sequencing and Analysis of Candidate Genes for Nitrogen Use Efficiency in Rice. Xia, Xiuzhong,Zhang, Zongqiong,Nong, Baoxuan,Zeng, Yu,Deng, Guofu,Li, Danting,Xiong, Faqian,Wu, Yanyan,Gao, Ju. 2017

[14]Quantitative trait loci analysis and genome-wide comparison for silique related traits in Brassica napus. Wang, Xiaodong,Chen, Li,Chao, Hongbo,Li, Maoteng,Wang, Xiaodong,Chen, Li,Xiang, Jun,Gan, Jianping,Wang, Aina,Wang, Hao,Tian, Jianhua,Zhao, Xiaoping,Zhao, Yajun,Zhao, Weiguo. 2016

[15]Genome-Wide Association and Transcriptome Analyses Reveal Candidate Genes Underlying Yield-determining Traits in Brassica napus. Lu, Kun,Peng, Liu,Zhang, Chao,Lu, Junhua,Yang, Bo,Xiao, Zhongchun,Liang, Ying,Xu, Xingfu,Qu, Cunmin,Zhang, Kai,Liu, Liezhao,Li, Jiana,Peng, Liu,Zhang, Chao,Zhu, Qinlong,Fu, Minglian,Yuan, Xiaoyan. 2017

[16]Fine mapping and identification of candidate genes for a QTL affecting Meloidogyne incognita reproduction in Upland cotton. Kumar, Pawan,He, Yajun,Singh, Rippy,Shen, Xinlian,Chee, Peng W.,Davis, Richard F.,Guo, Hui,Paterson, Andrew H.,Peterson, Daniel G.,Nichols, Robert L.,Shen, Xinlian,He, Yajun. 2016

[17]Transcriptome analysis of genes involved in anthocyanins biosynthesis and transport in berries of black and white spine grapes (Vitis davidii). Sun, Lei,Fan, Xiucai,Zhang, Ying,Jiang, Jianfu,Sun, Haisheng,Liu, Chonghuai. 2016

[18]Loci and candidate genes conferring resistance to soybean cyst nematode HG type 2.5.7. Zhao, Xue,Teng, Weili,Cao, Guanglu,Li, Dongmei,Han, Yingpeng,Li, Wenbin,Li, Yinghui,Qiu, Lijuan,Li, Dongmei,Zheng, Hongkun. 2017

[19]High-resolution mapping and characterization of qRgls2, a major quantitative trait locus involved in maize resistance to gray leaf spot. Xu, Ling,Zhang, Yan,Zhu, Mang,Zhong, Tao,Xu, Mingliang,Shao, Siquan,Chen, Wei,Tan, Jing,Fan, Xingming. 2014

[20]QTL Mapping by SLAF-seq and Expression Analysis of Candidate Genes for Aphid Resistance in Cucumber. Liang, Danna,Chen, Minyang,Qi, Xiaohua,Xu, Qiang,Zhou, Fucai,Chen, Xuehao,Liang, Danna. 2016

作者其他论文 更多>>

微信小程序