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大麦抗赤霉病近等基因系的转录组分析
Transcriptome analysis of barley FHB-resistance near-isogenic lines
【摘要】 赤霉病是大麦主要病害之一,严重影响大麦产量与品质。为研究大麦赤霉病抗性分子机制,以2个大麦赤霉病抗、感近等基因系N53和T66为材料,利用转录组测序技术(RNA-Seq),分析N53、T66在接种禾谷镰刀菌后不同时间点的基因表达特征和差异。结果表明:以接种0 h作为对照,N53和T66分别鉴定出15 230和15 106个差异表达基因。不同接种时间点上、下调的基因数目和富集到GO及KEGG通路的基因数目在两材料间存在显著差异。不同处理组间共筛选出421个共同差异表达基因,GO功能注释分类分成3大类42个亚类,KEGG通路共涉及到21个,并在信号转导(signal transduction)、植物-病原体相互作用(plant-pathogen interaction)、植物激素信号转导(plant hormone signal transduction)、MAPK-信号通路-植物(MAPK signaling pathway-plant)、苯丙烷类生物合成(phenylpropanoid biosynthesis)通路显著富集。综上,这一研究从转录组水平初步探索大麦对赤霉病的响应机制,可为进一步挖掘大麦赤霉病抗性候选基因、明晰大麦赤霉病抗性分子机制提供参考。
【Abstract】 Fusarium head blight(FHB) is one of the main diseases of barley,which seriously affects the yield and quality of barley.In order to explore the molecular mechanism of barley FHB resistance,two barley near-isogenic lines N53(resistant) and T66(susceptible) were used as the research objects.Transcriptome sequencing was performed to analyze the differentially expressed gene(DEG) between the two materials at different time points after inoculation with Fusarium graminis.The results showed that 15 230 and 15 106 differentially expressed genes were identified by N53 and T66,respectively.There were significant differences in the number of up-and down-regulated genes between the two materials at different time points of inoculation,as well as the number of genes enriched in GO and KEGG pathways.A total of 421 common DEG were screened and classified into 3 categories and 42 subclasses by GO functional annotation.KEGG pathway involved a total of 21 pathways.In signal transduction,plant-pathogen interaction,plant hormone signal transduction,MAPK signaling pathway and phenylpropanoid biosynthesis pathway were significantly enriched.This study preliminarily explored the response mechanism of barley to FHB at transcriptomic level,and provided a basis for screening candidate genes and clarifying the molecular mechanism of FHB resistance in barley.
【Key words】 barley; Fusarium head blight; near-isogenic lines; transcriptome analysis; DEG;
- 【文献出处】 扬州大学学报(农业与生命科学版) ,Journal of Yangzhou University(Agricultural and Life Science Edition) , 编辑部邮箱 ,2024年05期
- 【分类号】S435.123
- 【下载频次】13