中国畜禽种业 ›› 2026, Vol. 22 ›› Issue (5): 52-60.doi: 10.19543/j.cnki.1673-4556.20260329.003cstr: 32418.14.j.cnki.1673-4556.20260329.003

所属专题： 功能基因组学

• 生物技术 • 上一篇    下一篇

基于转录组学比较不同日龄绍兴鸭卵巢功能差异分析

周宁1,2,3(), 刘锦玉2, 卢立志2, 曾涛2, 郑嫩珠1, 张钰3, 李丽1(), 顾天天1,2()   

  1. 1. 福建省农业科学院畜牧兽医研究所/福建省畜禽遗传育种重点实验室，福建 福州 350013
    2. 浙江省农业科学院畜牧兽医研究所，浙江 杭州 310021
    3. 扬州大学动物科学与技术学院，江苏 扬州 225009
  • 收稿日期:2025-10-30 出版日期:2026-03-26 发布日期:2026-06-17
  • 通讯作者: 李丽, 顾天天 E-mail:znznzn20001231@163.com;lily102524@163.com;gutt@zaas.ac.cn
  • 作者简介:

    周宁（2000—），女，江苏南通人，硕士研究生，研究方向：动物遗传育种与繁殖，E-mail：。

  • 基金资助:
    国家重点研发计划项目(2024YFD1300902); 福建省畜禽遗传育种重点实验室(FJXQKFJJ2025-1); 国家水禽产业技术体系专项(CARS-42)

Comparative analysis of ovarian function differences in Shaoxing ducks at different ages based on transcriptomics

Ning Zhou1,2,3(), Jinyu Liu2, Lizhi Lu2, Tao Zeng2, Nenzhu Zheng1, Yu Zhang3, Li Li1(), Tiantian Gu1,2()   

  1. 1. Fujian Academy of Agricultural Sciences Institute of Animal Husbandry and Veterinary Medicine / Fujian Provincial Key Laboratory of Animal Genetics and Breeding, Fuzhou, 350013, Fujian
    2. Institute of Animal Husbandry and Veterinary, Zhejiang Academy of Agricultural Sciences, Hangzhou, 310021, Zhejiang
    3. College of Animal Science and Technology, Yangzhou University, Yangzhou, 225009, Jiangsu
  • Received:2025-10-30 Online:2026-03-26 Published:2026-06-17
  • Contact: Li Li, Tiantian Gu E-mail:znznzn20001231@163.com;lily102524@163.com;gutt@zaas.ac.cn

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摘要：

目的 该试验旨在研究300日龄和900日龄蛋鸭卵巢组织转录本的差异，并筛选影响卵巢衰老的关键基因或信号通路。 方法 该试验采集300日龄青年蛋鸭和900日龄老年蛋鸭卵巢组织，通过Illumina HiSeq平台进行深度测序，并对差异表达基因（Differentially expressed genes， DEGs）进行基因本体（Gene ontology， GO）功能注释、京都基因与基因组百科全书（Kyoto encyclopedia of genes and genomes， KEGG）富集分析和实时荧光定量PCR（Quantitative Real-time PCR）验证。 结果 结果显示，900日龄和300日龄蛋鸭卵巢间共鉴定出403个基因表达存在显著差异，其中235个上调基因，168个下调基因。GO功能显著富集在代谢过程、免疫系统过程、生殖过程和转录调节活性等条目；KEGG通路显著富集在白细胞介素-17信号通路、ECM受体相互作用和花生四烯酸代谢等通路。qRT-PCR结果发现，10个基因（ADRA2B、TF、APOC3、RXRG、MMP9、GRIA4、OXTR、ATP6V1G3、TRPC5和STMN4）在900日龄和300日龄蛋鸭卵巢组织间表达变化模式与转录组测序结果一致，表明RNA-Seq结果可靠。 结论 转录组测序筛选出403个显著差异基因，其中TF、APOC3、TRPC5等基因可能与卵巢衰老相关。KEGG富集显示的白介素-17信号通路、ECM受体相互作用和花生四烯酸代谢等通路，可影响炎症反应和损伤，参与蛋鸭卵巢衰老。

关键词: 蛋鸭, 卵巢功能, 日龄, 转录组学

Abstract:

Objective This study aimed to investigate the transcriptional differences in the ovarian tissues of 300-day-old and 900-day-old laying ducks, and to identify the key genes or signaling pathways that affect ovarian aging. Method Ovarian tissues of 300-day-old young laying ducks and 900-day-old old laying ducks were collected, and deep sequencing was performed on the Illumina HiSeq platform. The differentially expressed genes (DEGs) were annotated for Gene ontology (GO) function, KEGG pathway enrichment analysis, and verified by real-time fluorescent quantitative PCR. Result The results showed that 403 genes were significantly differentially expressed between the 900-day-old and 300-day-old laying duck ovaries. Among them, 235 genes were upregulated and 168 genes were downregulated. The GO functions were significantly enriched in metabolic processes, immune system processes, reproduction processes, and transcriptional regulatory activities; the KEGG pathways were significantly enriched in interleukin-17 signaling pathway, ECM-receptor interaction, and arachidonic acid metabolism, etc. The qRT-PCR results revealed that 10 genes, including ADRA2B, TF, APOC3, RXRG, MMP9, GRIA4, OXTR, ATP6V1G3, TRPC5 and STMN4, showed consistent expression patterns between the 900-day-old and 300-day-old laying duck ovarian tissues and the results of transcriptome sequencing, indicating the reliability of the RNA-Seq results. Conclusion Transcriptome sequencing identified 403 significantly DEGs, among which TF, APOC3, TRPC5, etc. may be related to ovarian aging. The KEGG enrichment analysis showed that the interleukin-17 signaling pathway, ECM receptor interaction, and arachidonic acid metabolism pathways can affect inflammatory responses and damage and participate in the aging of laying duck ovaries.

Key words: Egg-laying ducks, Ovary function, Age, Transcriptome

中图分类号: 

  • S834

表1

qRT-PCR引物信息"

基因Genes 引物序列（5'→3'）Primer sequences 基因登录号Accession Number 扩增长度Amplification length/bp
ADRA2B F: CGCCCCAAAACCTCTTCTTG; R: ATCTCGCACCACGTCTTCTG XM_021271422.4 127
TF F: AAAAGACCTGCGAGGCAAGA; R: AAAAACTTGGCCACCGCTTG XM_005028068.6 150
APOC3 F: GGTATAAAGTGGGAGGCTGGG; R: ACTGAGACCTTCATGGCTGG XM_027444320.3 77
RXRG F: ATGGTTGAGTGCGCTGAAGA; R: GCGTGAACGGGGGAATAGAA XM_038183246.2 113
MMP9 F: GCGCTGATGTACCCCATGTA; R: CAGAGCCACGACCATAGAGG XM_038166138.2 94
GRIA4 F: GAGGCAGGCGTCTTAGACAA; R: GGCACTCGTCTTGTCCTTACT XM_005016337.6 96
OXTR F: CCAAGATCCGGACGGTCAAA; R: GATGAAGGGAGAGGCTTCCTG XM_005012067.5 131
ATP6V1G3 F: GATAGACCACTACCGGCTGC; R: ACCTTGGGAGCCCATTACATTT XM_005027310.6 73
TRPC5 F: AGTGGTGAGAAGCAGGTTCC; R: CGTGGAATCGTTACCCGTCT XM_027465062.3 146
STMN4 F: AAGGAGCTGCCTCTCGTCTC; R: GGTGAGGTCTACGGTGTCTTCAT XM_072036605.1 96
GAPDH F: GGTTGTCTCCTGCGACTTCA; R: TCCTTGGATGCCATGTGGAC XM_038180584.2 165

表2

样本测序数据评估"

项目Items 样本名称Sample name
D300-1 D300-2 D300-3 D900-1 D900-2 D900-3
过滤后数据Clease reads 105058402 100239028 91511550 101950176 96135278 103532342
过滤后数据Clease bases 15675135585 14954327246 13654835354 15213074629 14347014313 15456361516
Q20/% 97.63 97.33 97.50 97.70 97.52 98.03
Q30/% 92.75 91.96 92.41 92.93 92.47 93.98
可比对数据Mapped reads 87797306 84090520 76293179 85750293 80897836 86791162
比对率Mapped ratio/% 83.57 83.89 83.37 84.11 84.15 83.38

图1

差异表达基因散点图 注：红点表示该组上调基因，蓝点表示该组下调基因。"

图2

差异表达基因GO注释 注：MF：分子功能（molecular function）；BP：生物过程（biological process）；CC：细胞组分（cellular component）。"

图3

差异表达基因KEGG富集散点图 注：横轴表示通路对应的富集程度，纵轴表示通路名称。圆点的大小表示每个通路中包含的差异表达基因个数，而点的颜色对应于不同的P值范围（红色、黄色、绿色、蓝色和紫色分别代表P值在0～0.1、0.1～0.2、0.2～0.3、0.3～0.4和0.4以上范围）。"

图4

PPI网络和核心基因"

图5

qRT-PCR验证转录组测序数据 注：D300表示300日龄组，D900表示900日龄组。*表示P<0.05。"

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