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基于转录组数据整合生物信息学和机器学习鉴定撒坝猪腰大肌肌内脂肪含量相关关键基因

Identification of Key Genes Related to Intramuscular Fat Content of Psoas Major Muscle in Saba Pigs by Integrating Bioinformatics and Machine Learning Based on Transcriptome Data.

作者信息

Huang Zixia, Yang Yongli, Lai Jinhua, Chen Qiang, Wang Xiaoyi, Wang Shuyan, Li Mingli, Lu Shaoxiong

机构信息

Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming 650201, China.

出版信息

Animals (Basel). 2025 Apr 20;15(8):1181. doi: 10.3390/ani15081181.

Abstract

The psoas major muscle (PMM) is a piece of pork with good tenderness and high value. Intramuscular fat (IMF) content, serving as a pivotal indicator of pork quality, varies greatly among pigs within the same breed. However, there is a paucity of studies focusing on investigating the molecular mechanism of PMM IMF deposition in the same pig breed. The present study aimed to identify the potential genes related to the IMF content of PMM in low- and high-IMF Saba pigs based on transcriptome data analysis. The data used in this study were the RNA sequences of PMM from 12 Saba pigs (PRJNA1223630, from our laboratory) and gene expression profiles (GSE207279) acquired from the NCBI Sequence Read Archive database and the GEO database, respectively, together with data on the fatty acid and amino acid composition of the 12 Saba pigs' PMM. It was found that the high-IMF pigs exhibited significantly elevated levels of saturated fatty acids and (mono)unsaturated fatty acids, especially C14:0, C16:0, C20:0, C16:1, C18:1n9c, and C20:2, compared with those in the low-IMF pigs ( < 0.05 or < 0.01). A total of 370 differentially expressed genes (DEGs) (221 up- and 149 down-regulated) were identified based on PRJNA1223630. Then, 20 hub genes were identified through protein-protein interaction (PPI) network analysis. Four potential fat-deposition-related genes (, , , and ) were further screened via the intersection of the candidate genes identified by the Least Absolute Shrinkage and Selection Operator (LASSO) algorithm and the top five genes ranked by the Random Forest (RF) method based on the 20 hub genes and were validated in the test gene set (GSE207279). The constructed mRNA (gene)-miRNA-lncRNA network, involving miRNAs (miR-103a-3p, miR-107, and miR-485-5p), lncRNAs (XIST, NEAT1, and KCNQ1OT1), and , might be crucial for IMF deposition in pigs. These findings might delineate valuable regulatory molecular mechanisms coordinating IMF deposition and could serve as a beneficial foundation for the genetic improvement of pork quality.

摘要

腰大肌(PMM)是一块嫩度良好且价值较高的猪肉。肌内脂肪(IMF)含量作为猪肉品质的关键指标,在同一品种猪中个体差异很大。然而,针对同一猪品种腰大肌IMF沉积分子机制的研究较少。本研究旨在基于转录组数据分析,鉴定低IMF和高IMF的撒坝猪中与腰大肌IMF含量相关的潜在基因。本研究使用的数据包括来自12头撒坝猪(PRJNA1223630,来自我们实验室)的腰大肌RNA序列,以及分别从NCBI序列读取存档数据库和GEO数据库获取的基因表达谱(GSE207279),还有这12头撒坝猪腰大肌的脂肪酸和氨基酸组成数据。结果发现,与低IMF猪相比,高IMF猪的饱和脂肪酸和(单)不饱和脂肪酸水平显著升高,尤其是C14:0、C16:0、C20:0、C16:1、C18:1n9c和C20:2(P<0.05或P<0.01)。基于PRJNA1223630鉴定出370个差异表达基因(DEG)(221个上调和149个下调)。然后,通过蛋白质-蛋白质相互作用(PPI)网络分析鉴定出20个核心基因。基于这20个核心基因,通过最小绝对收缩和选择算子(LASSO)算法鉴定的候选基因与随机森林(RF)方法排名前五位的基因的交集,进一步筛选出4个潜在的脂肪沉积相关基因(、、和),并在测试基因集(GSE207279)中进行了验证。构建的mRNA(基因)-miRNA-lncRNA网络,涉及miRNA(miR-103a-3p、miR-107和miR-485-5p)、lncRNA(XIST、NEAT1和KCNQ1OT1)以及,可能对猪的IMF沉积至关重要。这些发现可能描绘出协调IMF沉积的有价值的调控分子机制,并可为猪肉品质的遗传改良提供有益的基础。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e3c2/12024254/fefa812fbd88/animals-15-01181-g001.jpg

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