Pituitary whole transcriptome analysis reveals key genes regulating reproduction in Hy-Line Brown hens and the construction of their ceRNA molecular regulatory network.

IF 3.5 2区 生物学 Q2 BIOTECHNOLOGY & APPLIED MICROBIOLOGY BMC Genomics Pub Date : 2024-11-18 DOI:10.1186/s12864-024-11035-1
Yijie Li, Bin Zhai, Haijie Song, Xin Zhang, Yixiang Tian, Donghua Li, Yujie Gong, Yujie Guo, Ruirui Jiang, Ruili Han, Juan Zhang, Yanhua Zhang, Yadong Tian
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Abstract

Background: The development and egg-laying performance of hens are precisely regulated by hormones secreted by the pituitary. In this study, we performed comprehensive transcriptome sequencing of pituitary from Hy-Line Brown hens at 15, 20, 30 and 68 W of age. Through association analysis, we identified key genes and ceRNA regulatory networks related to pituitary development and egg production.

Results: Based on the comprehensive transcriptome data, we identified 470 differentially expressed lncRNAs (DE-lncRNAs), 38 differentially expressed miRNAs (DE-miRNAs), and 2,449 differentially expressed mRNAs (DE-mRNAs). Time-series analysis pinpointed genes and signaling pathways that significantly influence pituitary hormone secretion at various stages. At 15 W, the high expression of GHRHR, NPY1R, and TSHR in the pituitary supports growth. At 20 and 30 W, elevated GNRHR expression sustains continuous egg production. In the late laying period, the expression of PRL may lead to a decline in egg production. Additionally, association analysis enabled the construction of a ceRNA regulatory network involving non-coding RNAs that regulate the development and reproduction of hens.

Conclusion: This study elucidated the comprehensive transcriptome expression profiles of the pituitary gland during the development and egg-laying processes in Hy-Line Brown hens and constructed the associated molecular regulatory networks. These findings lay the foundation for investigating the mechanisms by which non-coding RNAs regulate pituitary hormone secretion.

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脑垂体全转录组分析揭示了调控褐线褐母鸡繁殖的关键基因,并构建了其 ceRNA 分子调控网络。
背景:母鸡的发育和产蛋性能受脑垂体分泌激素的精确调控。在本研究中,我们对15、20、30和68 W龄的Hy-Line褐壳蛋鸡的脑垂体进行了全面的转录组测序。通过关联分析,我们确定了与垂体发育和产蛋相关的关键基因和 ceRNA 调控网络:结果:基于全面的转录组数据,我们发现了470个差异表达的lncRNAs(DE-lncRNAs)、38个差异表达的miRNAs(DE-miRNAs)和2449个差异表达的mRNAs(DE-mRNAs)。时间序列分析确定了在不同阶段显著影响垂体激素分泌的基因和信号通路。在 15 W 时,垂体中 GHRHR、NPY1R 和 TSHR 的高表达支持了生长。在20和30 W时,GNRHR的高表达可维持持续产蛋。在产蛋后期,PRL的表达可能会导致产蛋量下降。此外,关联分析还构建了一个ceRNA调控网络,其中涉及调控母鸡发育和繁殖的非编码RNA:本研究阐明了褐羽蛋鸡在发育和产蛋过程中脑垂体的综合转录组表达谱,并构建了相关的分子调控网络。这些发现为研究非编码 RNA 调节垂体激素分泌的机制奠定了基础。
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来源期刊
BMC Genomics
BMC Genomics 生物-生物工程与应用微生物
CiteScore
7.40
自引率
4.50%
发文量
769
审稿时长
6.4 months
期刊介绍: BMC Genomics is an open access, peer-reviewed journal that considers articles on all aspects of genome-scale analysis, functional genomics, and proteomics. BMC Genomics is part of the BMC series which publishes subject-specific journals focused on the needs of individual research communities across all areas of biology and medicine. We offer an efficient, fair and friendly peer review service, and are committed to publishing all sound science, provided that there is some advance in knowledge presented by the work.
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