数字农科院2.0

Identification of key candidate genes and marker metabolites of melanin synthesis in black-bone chicken

文献类型： 外文期刊

作者： Ziyi Fang;Zhengxiao He;Weifang Yang;Yongli Wang;Yanji Chen;Lilin Men;Richun Cai;Yang Yu;Yaxiong Jia;Guiping Zhao

作者机构：

关键词： Black-bone chicken;Melanin synthesis;Metabolomics;Transcriptomics

期刊名称： BMC Genomics

ISSN： 1471-2164

年卷期： 2025 年 26 卷 1 期

页码：

收录情况： SCIE（2025版）

摘要： Background: Blackness and growth traits are regarded as crucial economic traits in black-bone chicken production. In order to meet consumers’ demand for black-bone chickens, it is necessary to study the mechanisms of body weight growth and melanin deposition in black-bone chickens. The genetic variations in growth traits, blackness traits, breast muscle transcriptome, and metabolism were compared between the Yanjin black-bone (YJ) chicken group (n = 20) and Jinling Partridge black-bone (JL) chicken group (n = 20). In addition, very high-melanin content (HB) individuals (n = 6) and very low-melanin content individuals (LB) (n = 6) were selected from the JL chicken group to investigate the melanin synthesis mechanism. Results: Comparison between the breast muscle transcriptomes of YJ chickens and JL chickens, as well as between HB and LB of JL chickens, revealed that 81 common differentially expressed genes (DEGs) were significantly enriched in melanosomes, pigment particles, and melanogenesis pathways. Among them, four candidate genes, namely TYRP1, KIT, PRKCB and EDNRB2, may be significantly associated with melanin production in black-bone chicken breast muscle. Also, 2 of the marker metabolites among the 16 common differential metabolites (DMs) identified, namely tetrahydrobiopterin (BH4) and N-acetylneuraminic acid, significantly contribute to melanin synthesis in the breast muscle of black-bone chickens. Conclusion: Our research presents complex regulatory networks of DEGs and DMs in melanin synthesis pathways. The results establish a basis for raising black-bone chickens with optimal melanin levels and offer a theoretical framework for investigating the mechanisms of melanin formation in these hens.

分类号：

  • 相关文献

[1]Soybean Omics and Biotechnology in China. Guo, Yong,Wang, Xiao-Bo,He, Wei,Zhou, Guo-An,Guo, Bing-Fu,Zhang, Le,Liu, Zhang-Xiong,Luo, Zhong-Qin,Wang, Li-Hui,Qiu, Li-Juan. 2011

[2]Germplasm resource evaluation and the underlying regulatory mechanisms of the differential copper stress tolerance among Vitis species. Xia J.,Chen C.,Liu T.,Liu C.,Liu S.,Fang J.,Shangguan L.. 2023

[3]Application of omics technology in the research on edible fungi. Cao L.,Zhang Q.,Miao R.,Lin J.,Feng R.,Ni Y.,Li W.,Yang D.,Zhao X.. 2023

[4]Characteristics of Transcriptome and Metabolome Concerning Intramuscular Fat Content in Beijing Black Pigs. Xinhua Hou,Run Zhang,Man Yang,Naiqi Niu,Wencheng Zong,Liyu Yang,Huihui Li,Renda Hou,Xiaoqing Wang,Ligang Wang,Xin Liu,Lijun Shi,Fuping Zhao,Lixian Wang,Longchao Zhang. 2023

[5]Transcriptome-metabolome analysis reveals how sires affect meat quality in hybrid sheep populations. Bowen Chen,Yaojing Yue,Jianye Li,Jianbin Liu,Chao Yuan,Tingting Guo,Dan Zhang,Bohui Yang,Zengkui Lu. 2022

[6]Integrative analysis of transcriptomics and metabolomics to reveal the melanogenesis pathway of muscle and related meat characters in Wuliangshan black-boned chickens. Tengfei Dou,Shixiong Yan,Lixian Liu,Kun Wang,Zonghui Jian,Zhiqiang Xu,Jingying Zhao,Qiuting Wang,Shuai Sun,Mir Zulqarnain Talpur,Xiaohua Duan,Dahai Gu,Yang He,Yanli Du,Alsoufi Mohammed Abdulwahid,Qihua Li,Hua Rong,Weina Cao,Zhengchang Su,Guiping Zhao,Ranran Liu,Sumei Zhao,Ying Huang,Marinus F.W. Te Pas,Changrong Ge,Junjing Jia. 2022

[7]Metabolomics and Transcriptomics Provide Insights into Anthocyanin Biosynthesis in the Developing Grains of Purple Wheat (Triticum aestivum L.). Fang Wang,Guangsi Ji,Zhibin Xu,Bo Feng,Qiang Zhou,Xiaoli Fan,Tao Wang. 2021

[8]Integrative Analysis of Liver Metabolomics and Transcriptomics Reveals Oxidative Stress in Piglets with Intrauterine Growth Restriction. Gao H.,Chen X.,Zhao J.,Xue Z.,Zhang L.,Zhao F.,Wang B.,Wang L.. 2022

[9]Transcriptomics and metabolomics revealed that phosphate improves the cold tolerance of alfalfa. Yuntao Wang,Zhen Sun,Qiqi Wang,Jihong Xie,Linqing Yu. 2023

[10]Underlying mechanism of accelerated cell death and multiple disease resistance in a maize lethal leaf spot 1 allele. Li, Jiankun,Chen, Mengyao,Fan, Tianyuan,Mu, Xiaohuan,Gao, Jie,Wang, Ying,Jing, Teng,Shi, Cuilan,Niu, Hongbin,Zhen, Sihan,Fu, Junjie,Zheng, Jun,Wang, Guoying,Tang, Jihua,Gou, Mingyue. 2022

[11]Revealing the difference of α-amylase and CYP6AE76 gene between polyphagous Conogethes punctiferalis and oligophagous C. pinicolalis by multiple-omics and molecular biological technique. Jing D.,Prabu S.,Zhang T.,Bai S.,He K.,Zhang Y.,Wang Z.. 2022

[12]Combined metabolomics and transcriptomics analysis reveals the mechanism underlying blue light-mediated promotion of flavones and flavonols accumulation in Ligusticum chuanxiong Hort. microgreens. Wenxian Wu,Xiumei Luo,Ying Wang,Xiulan Xie,Yizhou Lan,Linxuan Li,Tingting Zhu,Maozhi Ren. 2023

[13]2E,4E-Decadienoic Acid, a Novel Anti-Oomycete Agent from Coculture of Bacillus subtilis and Trichoderma asperellum. Zhang, Xi-Fen,Li, Qing-Yu,Wang, Mei,Ma, Si-Qi,Zheng, Yan-Fen,Li, Yi-Qiang,Zhao, Dong-Lin,Zhang, Cheng-Sheng. 2022

[14]Integrated analysis of transcriptome and metabolome revealed biological basis of sows from estrus to lactation. Shi L.,Li H.,Huang X.,Shu Z.,Li J.,Wang L.,Yan H.,Wang L.. 2023

[15]Persistence of algal toxicity induced by polystyrene nanoplastics at environmentally relevant concentrations. Mingqi Yao,Li Mu,Ziwei Gao,Xiangang Hu. 2023

[16]Multi-omics analysis of a drug-induced model of bipolar disorder in zebrafish. Yameng Li,Lin Zhang,Mingcai Mao,Linjuan He,Tiancai Wang,Yecan Pan,Xiaoyu Zhao,Zishu Li,Xiyan Mu,Yongzhong Qian,Jing Qiu. 2023

[17]Editorial: Omics-driven crop improvement for stress tolerance. Qi W.,Chen J.,Han Y.,Li Z.,苏晓峰.,Yeo F.K.S.. 2023

[18]Integration analysis of transcriptome and metabolome revealed the potential mechanism of spermatogenesis in Tibetan sheep (Ovis aries) at extreme high altitude. Miaoshu Zhang,Xuejiao An,Chao Yuan,Tingting Guo,Binpeng Xi,Jianbin Liu,Zengkui Lu. 2024

[19]Transcriptome Analysis and Metabolic Profiling Reveal the Key Regulatory Pathways in Drought Stress Responses and Recovery in Tomatoes. Jinshuai Shu,Lili Zhang,Guiming Liu,Xiaoxuan Wang,Fuzhong Liu,Ying Zhang,Yuhui Chen. 2024

[20]Integrating Transcriptomics, Proteomics, and Metabolomics to Investigate the Mechanism of Fetal Placental Overgrowth in Somatic Cell Nuclear Transfer Cattle. Xiaoyu Zhao,Shanshan Wu,Yuan Yun,Zhiwen Du,Shuqin Liu,Chunjie Bo,Yuxin Gao,Lei Yang,Lishuang Song,Chunling Bai,Guanghua Su,Guangpeng Li. 2024

作者其他论文 更多>>