现代畜牧科技Issue(9)：12-16,5.DOI:10.19369/j.cnki.2095-9737.2025.09.004
基于生物信息学分析紫花苜蓿耐盐碱核心基因
Bioinformatics Analysis of Core Genes Associated with Salt-Alkali Tolerance in Medicago sativa
摘要
Abstract
To identify core differentially expressed genes DEGs and their linked metabolic pathways in Medicago sativa alfalfa under salt-alkali stress,we analyzed microarray datasets from the GEO database.The GEO2R tool was applied to screen DEGs between salt-alkali-treated and control samples.Functional enrichment analysis of the DEGs,including Gene Ontology GO and Kyoto Encyclopedia of Genes and Genomes KEGG pathway annotation,was conducted using the DAVID database.A protein-protein interaction PPI network was subsequently constructed via STRING to identify hub genes.The six samples in the chip GSE13921,GSM350627,GSM350628,GSM350629,GSM350640,GSM350642,and GSM350646 were identified as research objects,revealing 9 787 DEGs 4 947 upregulated and 4 840 downregulated.GO and KEGG analyses highlighted significant enrichment in biological processes such as protein phosphorylation,hydrogen peroxide catabolism,transmembrane transport,carbohydrate metabolism,flavonoid biosynthesis,and phenylpropanoid biosynthesis.These findings provide critical insights into the molecular mechanisms underlying alfalfa's tolerance to salt-alkali stress and lay a foundation for future genetic improvement strategies.关键词
紫花苜蓿/盐碱胁迫/GEO数据库/生物信息学Key words
Medicago sativa/salt-alkali stress/GEO database/bioinformatics分类
农业科技引用本文复制引用
张军,高海娟,孙蕊,王若丁,李伟,王晓龙,李莎莎,柴华,杨曌..基于生物信息学分析紫花苜蓿耐盐碱核心基因[J].现代畜牧科技,2025,(9):12-16,5.基金项目
黑龙江省农业科学院畜牧兽医分院自拟课题(ZNKT-202220) （ZNKT-202220）
