畜牧兽医学报 ›› 2025, Vol. 56 ›› Issue (1): 232-245.doi: 10.11843/j.issn.0366-6964.2025.01.022

• 生物技术与繁殖 • 上一篇    下一篇

基于转录组和蛋白质组分析筛选五龙鹅产蛋相关候选基因

鲁秀1(), 张名爱1,2, 孔敏1,2, 张晶3, 王秉翰4, 侯中一1, 滕兴怡1, 姜雅静1, 凡文磊1,2,*(), 王宝维1,2,*()   

  1. 1. 青岛农业大学动物科技学院, 青岛 266109
    2. 青岛农业大学优质水禽研究所, 青岛 266109
    3. 青岛农业大学食品科学与工程学院, 青岛 266109
    4. 青岛慧和生物科技有限公司, 青岛 266109
  • 收稿日期:2024-07-22 出版日期:2025-01-23 发布日期:2025-01-18
  • 通讯作者: 凡文磊,王宝维 E-mail:luxiu911@163.com;fanwenlei@qau.edu.cn;wangbw1959@qq.com
  • 作者简介:鲁秀(1997-),女,山东新泰人,硕士生,主要从事动物遗传与育种研究,E-mail: luxiu911@163.com
  • 基金资助:
    国家重点研发计划(2023YFD1300300);国家水禽产业技术体系(CARS-43-11);山东省重点研发计划(2021CXGC010805);农业农村部政府购买服务:鹅高繁性状精准评价和分子鉴定(19230551)

Screening for Candidate Genes Related to Egg Production in Wulong Geese Based on Transcriptome and Proteome Analyses

LU Xiu1(), ZHANG Ming'ai1,2, KONG Min1,2, ZHANG Jing3, WANG Binghan4, HOU Zhongyi1, TENG Xingyi1, JIANG Yajing1, FAN Wenlei1,2,*(), WANG Baowei1,2,*()   

  1. 1. College of Animal Science and Technology, Qingdao Agricultural University, Qingdao 266109, China
    2. Institute of High Quality Waterfowl, Qingdao Agricultural University, Qingdao 266109, China
    3. College of Food Science and Engineering, Qingdao Agricultural University, Qingdao 266109, China
    4. Qingdao Huihe Biotechnology Co., Ltd., Qingdao 266109, China
  • Received:2024-07-22 Online:2025-01-23 Published:2025-01-18
  • Contact: FAN Wenlei, WANG Baowei E-mail:luxiu911@163.com;fanwenlei@qau.edu.cn;wangbw1959@qq.com

摘要:

旨在通过转录组和蛋白组联合分析来挖掘五龙鹅产蛋量相关候选基因,为其产蛋性能遗传机制研究提供理论基础。本研究选取200只体重相近的36周龄健康五龙鹅种鹅,记录其36~54周龄产蛋情况。在产蛋后期(54周龄)时,根据产蛋水平,将产蛋量最高的30只鹅定为高产组,产蛋量最低的30只鹅定为低产组,从高产组(H)和低产组(L)鹅中各采集3个卵巢组织,提取RNA和蛋白质,通过转录组测序(RNA-Seq)和4D-DIA蛋白组定量分析筛选差异表达基因(differentially expressed genes,DEGs)和差异表达蛋白(differentially expressed proteins,DEPs)。之后对筛选的差异基因和蛋白进行RT-qPCR验证、功能富集分析和蛋白互作(PPI)网络的构建与分析,筛选鹅产蛋性能相关的候选基因。结果:共鉴定到450个DEGs和333个DEPs,其中,AFAP1、INHAFNDC1、INHBB在基因和蛋白水平上表达出相同的差异趋势。富集分析显示,DEGs和DEPs显著富集到364个GO条目和75个KEGG通路,涉及生殖结构发育(gland development)、性别分化(sex differentiation)、性激素活性(hormone activity)、TGF-β通路(TGF-β signaling pathway)、卵母细胞减数分裂(oocyte meiosis)、GnRH信号通路(GnRH signaling pathway)、孕激素介导的卵母细胞成熟(progesterone-mediated oocyte maturation)等多个与产蛋相关的通路和关键生物过程。选取9个潜在候选基因,对高产组和低产组(包含转录组测序样品)各8个卵巢组织进行RT-qPCR验证,表达趋势与测序结果一致。基于上述研究结果,本研究最终筛选到6个与五龙鹅产蛋性能密切相关的候选基因(PTTG1、LRP2、TNFSF10、INHAINHBBFST),丰富了五龙鹅产蛋性能的相关分子机制。

关键词: 五龙鹅, 转录组, 蛋白组, 产蛋量, 候选基因

Abstract:

This study aimed to identify the candidate genes related to egg production in Wulong geese through a combined analysis of transcriptome and proteome, which will provide theoretical basis for understanding of the molecular mechanisms of egg production performance in goose. A total of 200 healthy 36-week-old Wulong geese with similar weight were selected for this study, whose egg production from 36 to 54 weeks of age was recorded. At the end of the experiment (54 weeks of age), according to the egg laying level, the 30 geese with the highest egg production were designated as the high yield group, and the 30 geese with the lowest egg production were set as the low yield group, geese with high (H) and low (L) laying performance were selected for 3 ovarian tissue collection, respectively. RNA and proteins were extracted from 3 geese of each group. And, differentially expressed genes (DEGs) and differentially expressed proteins (DEPs) were identified through RNA-Seq and 4D-DIA quantitative proteomic analysis. RT-qPCR validation, functional enrichment analysis, and protein-protein interaction (PPI) network construction and analysis were performed to identify the candidate genes related to egg production performance in Wulong geese. The results showed that 450 DEGs and 333 DEPs were identified by transcriptome and proteome analysis, respectively. And, AFAP1, INHA, FNDC1 and INHBB genes showed the same difference trend in proteome and transcriptome. Enrichment analysis indicated that these DEGs and DEPs were significantly enriched in 364 GO terms and 75 KEGG pathways, involving gland development, sex differentiation, hormone activity, TGF-β signaling pathway, oocyte meiosis, GnRH signaling pathway, progesterone-mediated oocyte maturation and other pathways and key biological processes related to egg production. Nine potential candidate genes were selected for RT-qPCR validation in 8 sample of each group, their expression trends were consistent with the sequencing results. In conclusion, the candidate genes (PTTG1, LRP2, TNFSF10, INHA, INHBB, FST) were identified to be related to egg production performance in geese. This study will provide new insights into the molecular mechanisms of egg production performance in geese.

Key words: Wulong geese, transcriptome, proteome, egg production, candidate genes

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