Acta Veterinaria et Zootechnica Sinica ›› 2025, Vol. 56 ›› Issue (1): 232-245.doi: 10.11843/j.issn.0366-6964.2025.01.022

• Animal Biotechnology and Reproduction • Previous Articles     Next Articles

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

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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