畜牧兽医学报 ›› 2023, Vol. 54 ›› Issue (10): 4164-4173.doi: 10.11843/j.issn.0366-6964.2023.10.015

• 遗传育种 • 上一篇    下一篇

产蛋初期和后期蛋鸡胫骨转录谱的构建及骨代谢相关基因分析

张寅梁, 岳巧娴, 黄晨轩, 陈辉, 王德贺, 周荣艳*   

  1. 河北农业大学动物科技学院, 保定 071001
  • 收稿日期:2023-05-22 出版日期:2023-10-23 发布日期:2023-10-26
  • 通讯作者: 周荣艳,主要从事动物遗传育种与繁殖研究,Tel:0312-7528451,E-mail:rongyanzhou@126.com
  • 作者简介:张寅梁(1998-),男,山西原平人,硕士生,主要从事畜禽遗传资源种质特性挖掘、保存与利用,E-mail:874197127@.qq.com
  • 基金资助:
    国家自然科学基金(32272922);河北省重点研发计划项目现代种业科技创新专项(22326319D);河北省鸡现代种业科技创新团队(21326303D);河北省现代农业产业技术体系创新团队蛋鸡肉鸡良繁体系与品种培育岗位(HBCT2023210205)

Construction of Tibia Transcript Profile of Laying Hens at the Early and Late Laying Stages and Analysis of Genes Related to Bone Metabolism

ZHANG Yinliang, YUE Qiaoxian, HUANG Chenxuan, CHEN Hui, WANG Dehe, ZHOU Rongyan*   

  1. College of Animal Science and Technology, Hebei Agricultural University, Baoding 071001, China
  • Received:2023-05-22 Online:2023-10-23 Published:2023-10-26

摘要: 旨在通过分析产蛋初期和产蛋后期蛋鸡胫骨转录表达谱筛选与胫骨骨代谢相关的候选基因,以揭示蛋鸡骨代谢变化的遗传机制。本研究选择19周龄(产蛋初期)和79周龄(产蛋后期)的海兰灰蛋鸡各3只,构建胫骨转录组文库,利用转录组数据筛选差异表达基因并预测蛋白质互作关系;随机选择5个差异表达基因,利用实时荧光定量PCR验证其表达水平。构建的6个海兰灰蛋鸡胫骨cDNA文库中获得有效读数19 034 718~22 668 315条,Q30值至少为93.68%,比对率为83.78%~85.72%。筛选出产蛋初期和产蛋后期蛋鸡胫骨差异表达基因共1 211个,其中645个基因下调,566个基因上调。GO功能富集分析结果显示,差异表达基因主要富集在细胞分化和细胞发育等过程。KEGG分析发现,差异表达基因显著富集在11条通路(P<0.05),其中5条与骨代谢相关,包括MAPK信号通路、TGF-β信号通路、Toll样受体信号通路、糖胺聚糖生物合成-硫酸软骨素/硫酸皮肤素和糖胺聚糖降解。在上述5条通路中涉及59个差异表达基因,其中29个上调,30个下调。此外,对骨代谢相关通路中的59个差异表达基因进行蛋白互作分析,共鉴定出53个编码蛋白,筛选出5个hub基因(IL6、IL1B、FOS、TGFB2和BMP4)。从1 211个差异表达基因中随机选取5个差异表达基因进行实时荧光定量PCR验证,结果与转录组测序结果一致。本研究揭示了产蛋初期和产蛋后期蛋鸡胫骨组织中的基因表达差异,筛选到多个影响蛋鸡胫骨骨代谢的差异表达基因和信号通路,为研究调控蛋鸡胫骨组织骨代谢的分子机制提供理论依据。

关键词: 蛋鸡, 胫骨, 差异表达基因, 骨代谢

Abstract: The purpose of this study was to screen candidate genes related to tibial bone metabolism and reveal the genetic mechanism of bone metabolism changes in laying hens by analyzing the transcriptional expression profile of the tibia of laying hens at the early and late stages of laying. Three Hy-line Grey laying hens aged 19 weeks old (early laying) and 79 weeks old (late laying) were selected to construct a tibia transcriptome library, and transcriptome data were used to screen differentially expressed genes and predict protein interactions; Five differentially expressed genes were randomly selected and their expression levels was verified using real-time fluorescence quantitative PCR. The effective reads of 19 034 718-22 668 315 were obtained from the 6 cDNA libraries of the tibia of Hy-line Grey laying hens with Q30 value of at least 93.68% and comparison rate of 83.78%-85.72%. A total of 1 211 differentially expressed genes were screened from the tibia of laying hens at the early and late stages of laying, of which 645 differentially expressed genes were down regulated and 566 differentially expressed genes were up regulated. GO analysis results showed that most of the differential genes were enriched in GO terms related to cell differentiation and cell development. KEGG analysis results showed that the differentially expressed genes were significantly enriched in 11 KEGG pathways (P<0.05). There were 5 pathways related to bone metabolism, namely MAPK signaling pathway, TGF-β signaling pathway, Toll-like receptor signaling pathway, glycosaminoglycan biosynthesis-chondroitin sulfate/dermatan sulfate and glycosaminoglycan degradation. Among the above 5 pathways, 59 differentially expressed genes were involved, of which 29 were up regulated and 30 were down regulated. In addition, protein interaction analysis was conducted on 59 differentially expressed genes related to bone metabolism pathways, identifying a total of 53 coding proteins and screening out 5 hub genes (IL6, IL1B, FOS, TGFB2 and BMP4). Five differentially expressed genes were randomly selected from 1 211 differentially expressed genes for real-time fluorescent quantitative PCR verification, and the results were consistent with the results of RNA-Seq sequencing. This study revealed the differential gene expression in the tibia tissue of laying hens during the early and late stages of egg laying, and screened multiple differentially expressed genes and signaling pathways that affect tibia bone metabolism in laying hens, providing a theoretical basis for studying the molecular mechanism of tibia tissue regulation of bone metabolism in laying hens.

Key words: laying hen, tibia, differentially expressed genes, bone metabolism

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