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转录组分析揭示了与肉鸭剩余采食量相关的关键基因和信号通路。

Transcriptome analysis reveals key genes and signalling pathways related to residual feed intake in meat-type ducks.

作者信息

Jin S H, Shui F, He T T, Jia F M, Wang X, Liu X, Liu X L, Ling Z Q, Geng Z Y

机构信息

Department of Animal Genetics and Breeding, College of Animal Science and Technology, Anhui Agricultural University, Hefei 230036, China.

Huangshan Qiangying Duck Breeding, Co. Ltd., Huangshan 245461, China.

出版信息

Animal. 2025 Jun;19(6):101521. doi: 10.1016/j.animal.2025.101521. Epub 2025 Apr 16.

Abstract

The feed utilisation rate is a key factor that affects the economic benefits of meat-type duck breeding. In recent years, residual feed intake (RFI) has been routinely used in poultry breeding as an index for evaluating feed utilisation. However, the genetic mechanism underlying RFI in meat-type ducks remains poorly understood. In the present study, 1 000 meat-type ducks with similar BW were randomly selected to measure BW gain and feed intake from 21 to 42 d of age to assess RFI. Six high- and six low-RFI meat-type ducks were randomly selected for a transcriptome survey of livers. Protein-protein interaction (PPI) network and gene set enrichment (GSEA) analyses were used to elucidate the molecular basis of RFI. We identified 1 297 differentially expressed genes (DEGs) in the LRFI group, of which 686 and 611 were markedly up- and downregulated, respectively. Functional annotation showed that DEGs were mainly enriched in gene ontology terms related to the regulation of biosynthetic and metabolic processes. Kyoto encyclopedia of genes and genomes (KEGG) pathway analysis showed significant enrichment of insulin signalling and multiple pathways related to energy metabolism. Furthermore, the PPI network analysis revealed that PRKACB, PRKAR2A, FYN, PTK2, ITGB1, ESR1, and PIK3CB were primarily related to the biological processes of lipid metabolism, glucose transport, and immunological stress and may affect RFI. Moreover, the GSEA suggested that upregulated genes in the LRFI group were associated with immune, lipid transport, and insulin signalling. ACLY and SLC50A1 were the most markedly upregulated and downregulated DEGs, respectively. In the PPI network, PRKACB, PRKAR2A, and FYN were identified as pivot genes. The aforementioned DEGs were mainly involved in lipid and glucose metabolism and inflammatory response, consistent with the KEGG and GSEA results. Therefore, these results revealed PRKACB, PRKAR2A, and FYN as potentially key genes for improving feed efficiency traits in meat-type ducks. Our results provide insights into the biological basis of RFI in meat-type ducks and will be useful for the selection of meat-type ducks with a greater feed efficiency phenotype in future breeding programmes.

摘要

饲料利用率是影响肉鸭养殖经济效益的关键因素。近年来,剩余采食量(RFI)已被常规用于家禽育种,作为评估饲料利用率的指标。然而,肉鸭RFI的遗传机制仍知之甚少。在本研究中,随机选择1000只体重相似的肉鸭,测量其21至42日龄的体重增加和采食量,以评估RFI。随机选择6只高RFI和6只低RFI肉鸭进行肝脏转录组调查。采用蛋白质-蛋白质相互作用(PPI)网络和基因集富集(GSEA)分析来阐明RFI的分子基础。我们在低RFI组中鉴定出1297个差异表达基因(DEG),其中686个和611个分别显著上调和下调。功能注释表明,DEG主要富集在与生物合成和代谢过程调控相关的基因本体术语中。京都基因与基因组百科全书(KEGG)通路分析显示胰岛素信号通路和多个与能量代谢相关的通路显著富集。此外,PPI网络分析表明,PRKACB、PRKAR2A、FYN、PTK2、ITGB1、ESR1和PIK3CB主要与脂质代谢、葡萄糖转运和免疫应激的生物学过程相关,可能影响RFI。此外,GSEA表明低RFI组中上调的基因与免疫、脂质转运和胰岛素信号通路相关。ACLY和SLC50A1分别是上调和下调最显著的DEG。在PPI网络中,PRKACB、PRKAR2A和FYN被确定为枢纽基因。上述DEG主要参与脂质和葡萄糖代谢以及炎症反应,与KEGG和GSEA结果一致。因此,这些结果揭示PRKACB、PRKAR2A和FYN是改善肉鸭饲料效率性状的潜在关键基因。我们的结果为肉鸭RFI的生物学基础提供了见解,并将有助于未来育种计划中选择具有更高饲料效率表型的肉鸭。

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