中国农业科技导报2025,Vol.27Issue(6):126-135,10.DOI:10.13304/j.nykjdb.2024.0337
水稻对恶苗病菌侵染响应的蛋白质组分析
Proteome Analysis of Rice Response to Gibberella fujikuroi Infection
摘要
Abstract
Bakanae disease,a common and highly harmful fungal disease of rice,seriously impacts rice yield.To clarify the up-regulated differential proteins of high-resistance varieties in response to the bakanae pathogen,the TMT(tandem mass tag)quantitative proteomics technology was employed to compare the proteomes before and after infection with the bakanae pathogen,and the significantly differentially expressed proteins with P≤0.05 and a fold change(FC)>1.2 or<0.83 were screened.The results showed that 124 up-regulated and 75 down-regulated differentially expressed proteins were screened.The 124 proteins with up-regulated expression were subjected to gene ontology(GO)enrichment analysis,and got 88 enrichment items,among which 4 items were significantly enriched,including 2 biological processes(response to stress and response to oxidative stress),2 molecular functions(peroxidase activity and heme binding),which should be beneficial to remove peroxides in rice bud tissue and had a protective effect on cells.A total of 45 pathways were obtained by(kyoto encyclopedia of genes and genomes KEGG)enrichment analysis,and 3 pathways were significantly enriched for upregulated differential proteins including phenylpropanoid biosynthesis,the biosynthesis of secondary metabolites and phenylalanine metabolism,respectively,which should be beneficial toimprove disease resistance of rice.There were 3 differential proteins(Os01t0327400-01,Os12t0112000-01,Os01t0963000-04)were common among 4 items of GO significant enrichment and 3 pathways of KEGG significant enrichment,which could be the key proteins in the bakanae disease resistance.Above results provided scientific theoretical basis for the research of disease resistance.关键词
水稻/恶苗病/藤仓赤霉复合种/蛋白质组/抗病性Key words
rice/bakanae disease/Gibberella fujikuroi species complex/proteome/disease resistance分类
农业科技引用本文复制引用
邵丽华,李鹏..水稻对恶苗病菌侵染响应的蛋白质组分析[J].中国农业科技导报,2025,27(6):126-135,10.基金项目
黑龙江省自然科学基金项目(LH2022C090). (LH2022C090)