畜牧兽医学报 ›› 2025, Vol. 56 ›› Issue (11): 5531-5544.doi: 10.11843/j.issn.0366-6964.2025.11.015

• 遗传育种 • 上一篇    下一篇

基于全基因组选择信号和转录组鉴定28日龄乳鸽胸肌率相关关键基因

张怡然1(), 毛楠楠1, 王韵龙1, 周荣艳1,*(), 臧素敏1, 谢辉2,3, 王文君1, 张维娅1,*()   

  1. 1. 河北农业大学动物科技学院, 保定 071001
    2. 阜平硒鸽实业有限公司, 阜平 073200
    3. 河北省肉鸽产业技术研究院, 阜平 073200
  • 收稿日期:2025-04-02 出版日期:2025-11-23 发布日期:2025-11-27
  • 通讯作者: 周荣艳,张维娅 E-mail:2285436351@qq.com;rongyanzhou@126.com;syzwy@hebau.edu.cn
  • 作者简介:张怡然(2000-),女,河北石家庄人,硕士生,主要从事畜禽遗传资源种质特性挖掘、保存与利用研究,E-mail:2285436351@qq.com
  • 基金资助:
    河北省高等学校科学研究项目(CXZX2025067);保定市科技计划“揭榜挂帅”项目(2024农208);河北省现代农业产业技术体系蛋禽创新团队良繁体系与品种培育岗(HBCT2024260204)

Identification of Key Genes Associated with Breast Muscle Rate in 28-day-old Squabs Based on Genome-wide Selection Signal and Transcriptome

ZHANG Yiran1(), MAO Nannan1, WANG Yunlong1, ZHOU Rongyan1,*(), ZANG Sumin1, XIE Hui2,3, WANG Wenjun1, ZHANG Weiya1,*()   

  1. 1. College of Animal Science and Technology, Hebei Agricultural University, Baoding 071001, China
    2. Fuping Selenium Pigeon Industry Limited Company, Fuping 073200, China
    3. Hebei Meat Pigeon Industry Technology Research Institute, Fuping 073200, China
  • Received:2025-04-02 Online:2025-11-23 Published:2025-11-27
  • Contact: ZHOU Rongyan, ZHANG Weiya E-mail:2285436351@qq.com;rongyanzhou@126.com;syzwy@hebau.edu.cn

摘要:

旨在通过分析2个种群鸽的全基因组SNPs位点及胸肌的转录组数据,鉴定与28日龄乳鸽胸肌率相关的候选基因。本研究选取M系和B系鸽各10只进行全基因组测序,提取并筛选SNPs位点后进行全基因组选择信号分析。选取两个种群中胸肌率存在显著差异的10只28日龄乳鸽,采集胸肌进行转录组测序,分析胸肌中基因表达水平以及差异表达基因,并结合选择信号分析筛选与28日龄乳鸽胸肌率相关的关键基因。利用实时荧光定量PCR对9个与肌肉发育有关的差异表达基因的表达水平进行检测,并与转录组数据进行比较分析。基于全基因组11 577 846个SNPs位点的PCA分析发现M系和B系鸽各自形成独立的一类,滑窗Fst和pFst分析筛选到29个与肌肉发育有关的基因。转录组分析筛选到28日龄乳鸽的胸肌差异表达基因共192个,包含68个上调基因和124个下调基因,差异表达基因主要富集在细胞核组分、细胞凋亡通路、Foxo信号通路、PI3K-Akt信号通路。全基因组和转录组联合分析共筛选到4个基因,其中LTBP1、DPP4和TNFSF10与肌肉发育有关,为解析乳鸽胸肌率差异提供了数据基础。9个差异表达基因的荧光定量PCR表达水平检测结果与转录组基因表达数据间的相关系数为0.50~0.95,表明有较高的相关性。本研究通过联合分析全基因组和转录组数据,揭示了与乳鸽胸肌率差异相关的候选基因,为研究鸽子胸肌发育的分子机制提供了新的视角。

关键词: 乳鸽, 胸肌, 全基因组, 转录组, 选择信号, SNPs

Abstract:

The study aimed to identify the candidate genes associated with breast muscle rate in 28-day-old squabs by the analysis of the genome-wide SNPs and breast muscle transcriptomic data from two populations of pigeons. Ten pigeons from each of the M and B lines were selected for whole genome sequencing. Selective signature analysis was performed based on genomic wide SNPs with extracting and filtering. Ten 28-day-old squabs were selected from two populations with significant differences in breast muscle rate. The transcriptomic data were collected from breast muscles. The expression levels of genes and identification of differentially expressed genes (DEGs) were performed in the pectoral muscle. The key genes associated with breast muscle rate in 28-day-old squabs were identified and screened by combining selection signal analysis. The expression levels of 9 DEGs associated with muscle development were analyzed using real-time fluorescent quantitative PCR (RT-qPCR) and compared with transcriptome data for validation. M-line and B-line squabs were distinctly clustering into separate groups through principal component analysis (PCA) of 11 577 846 SNPs. Twenty-nine genes associated with muscle development were identified through sliding window Fst and pFst analysis. In the breast muscle of 28-day-old squabs, 192 DEGs were identified through transcriptome analysis, including 68 up-regulated and 124 down-regulated genes. The DEGs were mainly enriched in the nuclear component, apoptosis pathway, Foxo signaling pathway, and PI3K-Akt signaling pathway. Four genes were identified with the integrated analysis of whole-genome and transcriptome data. Among these genes, LTBP1, DPP4, and TNFSF10 are associated with muscle development. The data foundation was provided for deciphering the differences in the breast muscle rate among squabs. The expression levels of 9 DEGs validated by RT-qPCR showed a correlation coefficient of 0.50-0.95 with transcriptomic data, indicating that the two datasets were highly consistent. In this study, genes associated with breast muscle rate differences in squabs were revealed by analyzing genome-wide combined with transcriptome data, providing a new perspective on the molecular mechanism of breast muscle development in pigeons.

Key words: pigeon, breast muscle, genome-wide, transcriptome, selection signal, SNPs

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