数字农科院2.0

Integrated transcriptome and metabolome analysis of photoperiod effects on testosterone secretion in ChaHua chicken No.2 Roosters

文献类型: 外文期刊

作者: Mengqian Liu;Lei Tan;Xinlu Li;Haojie Li;Yong Zhang;Xiannian Zi;Changrong Ge;Kun Wang

作者机构:

关键词: Chahua No.2 rooster;light intensity;Metabolome;Testosterone;Transcriptome

期刊名称: Poultry Science

ISSN: 0032-5791

年卷期: 2025 年 104 卷 4 期

页码:

收录情况: SCIE(2025版)

摘要: This study investigated the impact of light duration on Testosterone secretion in Chahua No.2 roosters, utilizing combined Transcriptome and Metabolome analyses to uncover critical genes, Metabolites, and signaling pathways. We randomly selected 240 Chahua No.2 roosters at 42 days old and divided them into four groups: simulated natural light (Ⅰ), 12L:12D (Ⅱ), 16L:8D (Ⅲ), and 20L:4D (Ⅳ), each group has 6 replicates, with 10 chickens per replicate. Blood samples were collected at 91 and 140 days post-hatch to measure Testosterone levels. Results showed that at 91 days, group Ⅳ had significantly higher Testosterone levels than groups Ⅰ, Ⅱ, and Ⅲ (P < 0.01), with group Ⅲ also higher than groups Ⅰ (P < 0.01) and Ⅱ (P < 0.05). By 140 days, group Ⅳ maintained significantly higher Testosterone than groups Ⅰ and Ⅱ (P < 0.01) and higher than group Ⅲ (P < 0.05), while group Ⅲ was also elevated compared to groups Ⅰ and Ⅱ (P < 0.05). Testicles Transcriptomics analysis revealed 891 differentially expressed genes, including 479 down-regulated and 412 up-regulated genes. Key signaling pathways identified included Steroid Hormone Biosynthesis, Cytochrome P450, and retinol metabolism. Testicles Metabolomics analysis identified 174 differential Metabolites, with 91 up-regulated and 83 down-regulated, focusing on pathways like Amino Sugar Metabolism and Tryptophan Metabolism. Integrated analysis pinpointed 19 common signaling pathways, with the top ten including Cytochrome P450, tyrosine metabolism, and amino acid biosynthesis. Our findings indicate that extending light duration enhances Testosterone secretion in roosters. Through comprehensive transcriptomic and metabolomic analyses, we established that pathways associated with steroid hormone synthesis and Cytochrome P450 play a crucial role in light duration-regulated Testosterone secretion, highlighting key genes such as CYP11A1, CYP17A1, and HSD3B1, alongside Metabolites like ergosterol-5,7,22,24(28)-tetraene-3beta-alcohol.

分类号:

  • 相关文献

[1]Effect of Interactions between Phosphorus and Light Intensity on Metabolite Compositions in Tea Cultivar Longjing43. Santosh KC,Lizhi Long,Qunfeng Zhang,Kang Ni,Lifeng Ma,Jianyun Ruan. 2022

[2]Multi-omics integration to explore the molecular insight into the volatile organic compounds in watermelon. Chengsheng Gong,Nan He,Hongju Zhu,Muhammad Anees,Xuqiang Lu,Wenge Liu. 2023

[3]Defensive Resistance of Cowpea Vigna unguiculata Control Megalurothrips usitatus Mediated by Jasmonic Acid or Insect Damage. Tao Li,Mingyue Feng,Yuanming Chi,Xing Shi,Zilin Sun,Zhen Wu,Aomei Li,Wangpeng Shi. 2023

[4]Transcriptomic and metabolomic analyses reveal that exogenous strigolactones alleviate the response of melon root to cadmium stress. Chen X.,Shi X.,Ai Q.,Han J.,Wang H.,Fu Q.. 2022

[5]Transcriptome Co-expression Network and Metabolome Analysis Identifies Key Genes and Regulators of Proanthocyanidins Biosynthesis in Brown Cotton. Zhenzhen Wang,Xiaomeng Zhang,Shoupu He,Abdul Rehman,Yinhua Jia,Hongge Li,Zhaoe Pan,Xiaoli Geng,Qiong Gao,Liru Wang,Zhen Peng,Xiongming Du. 2022

[6]Transcriptomic and Metabolomic Analysis of Wheat Kernels in Response to the Feeding of Orange Wheat Blossom Midges (Sitodiplosis mosellana) in the Field. Qian Wang,Xiaobei Liu,Huan Liu,Yu Fu,Yumeng Cheng,Lijiao Zhang,Wangpeng Shi,Yong Zhang,Julian Chen. 2022

[7]Integrated Transcriptome and Metabolome Dissecting Interaction between Vitis vinifera L. and Grapevine Fabavirus. Baodong Zhang,Mengyan Zhang,Xiaojun Jia,Guojun Hu,Fang Ren,Xudong Fan,Yafeng Dong. 2023

[8]Integrated Metabolome and Transcriptome Analysis Unveils the Underlying Molecular Response of Panax ginseng Plants to the Phytophthora cactorum Infection. Hong Kan,Shuai Qu,Kai Dong,Shihan Wang,Chen Xu,Yingping Wang,Shuang Hua. 2023

[9]Integrated metabolomics and transcriptomics insights on flavonoid biosynthesis of a medicinal functional forage, Agriophyllum squarrosum (L.), based on a common garden trial covering six ecotypes. Tingzhou Fang,Shanshan Zhou,Chaoju Qian,Xia Yan,Xiaoyue Yin,Xingke Fan,Pengshu Zhao,Yuqiu Liao,Liang Shi,Yuxiao Chang,Xiao Fei Ma. 2022

[10]Multi-omics analyses of 398 foxtail millet accessions reveal genomic regions associated with domestication, metabolite traits, and anti-inflammatory effects. Xukai Li,Jianhua Gao,Jingyi Song,Kai Guo,Siyu Hou,Xingchun Wang,Qiang He,Yanyan Zhang,Yakun Zhang,Yulu Yang,Jiaoyan Tang,Hailang Wang,Staffan Persson,Mingquan Huang,Lishuai Xu,Linlin Zhong,Dongqin Li,Yongming Liu,Hua Wu,Xianmin Diao,Pe. 2022

[11]Integrative analysis of metabolome and genome-wide transcriptome reveal the flavor changes in apple (Malus pumila Mill) after the novel acaricide cyflumetofen application. Minmin Li,Lin Li,Zhiqiang Kong,Noel Gregoire,Rui Quan,Zisheng Luo,Xingyu Lin,Jesus Simal-Gandara,Bei Fan,Fengzhong Wang. 2023

[12]Comparison of transcriptome and metabolome analysis revealed differences in cold resistant metabolic pathways in different apple cultivars under low temperature stress. Xu, Gongxun,Li, Lijie,Zhou, Jia,Lyu, Deguo,Zhao, Deying,Qin, Sijun. 2023

[13]Combining quantitative trait locus mapping with multiomics profiling reveals genetic control of corn leaf aphid (Rhopalosiphum maidis) resistance in maize. Wang, Tengyue,Wang, Kaiji,Wang, Chuanhong,Zhao, Yibing,Tao, Zhen,Li, Junyao,Wang, Lei,Shi, Jian,Huang, Shijie,Xie, Chuanxiao,Li, Peijin. 2023

[14]Editorial: Omics data-based identification of plant specialized metabolic genes. Peipei Wang,Pengxiang Fan,Yan Bao,Wei Li,Li Wang. 2023

[15]Metabolome and Transcriptome Analyses Reveal the Differences in the Molecular Mechanisms of Oat Leaves Responding to Salt and Alkali Stress Conditions. Bai, Jianhui,Lu, Peina,Li, Feng,Li, Lijun,Yin, Qiang. 2023

[16]Metabolome and Transcriptome Integration Reveals Insights Into Flavor Formation of ‘Crimson’ Watermelon Flesh During Fruit Development. Chengsheng Gong,Weinan Diao,Hongju Zhu,Muhammad Jawad Umer,Shengjie Zhao,Nan He,Xuqiang Lu,Pingli Yuan,Muhammad Anees,Dongdong Yang,M. O. Kaseb,Wenge Liu. 2021

[17]The multi-omics basis of potato heterosis. Dawei Li,Xiaoyue Lu,Yanhui Zhu,Jun Pan,Shaoqun Zhou,Xinyan Zhang,Guangtao Zhu,Yi Shang,Sanwen Huang,Chunzhi Zhang. 2022

[18]Multi-Omic Analysis in a Metabolic Syndrome Porcine Model Implicates Arachidonic Acid Metabolism Disorder as a Risk Factor for Atherosclerosis. Song Song Xu,Xiu Ling Zhang,Sha Sha Liu,Shu Tang Feng,Guang Ming Xiang,Chang Jiang Xu,Zi Yao Fan,Kui Xu,Nan Wang,Yue Wang,Jing Jing Che,Zhi Guo Liu,Yu Lian Mu,Kui Li. 2022

[19]Transcriptomic and Metabolomic Analyses Provide Insights Into an Aberrant Tissue of Tea Plant (Camellia sinensis). Ding Ding Liu,Jun Ya Wang,Rong Jin Tang,Jie Dan Chen,Zhen Liu,Liang Chen,Ming Zhe Yao,Chun Lei Ma. 2021

[20]Transcription profile analysis for biosynthesis of flavor volatiles of Tunisian soft-seed pomegranate arils. Lei Yuan,Yurou Yun,Jun Tian,Zheng Qing Gao,Zhenzhen Xu,Xiaojun Liao,Junjie Yi,Shengbao Cai,Linyan Zhou. 2022

作者其他论文 更多>>