小麦响应禾谷镰刀菌侵染的核心基因筛选与鉴定

Screening and identification of core genes responding to Fusarium graminearum in wheat

  • 摘要: 【目的】筛选鉴定小麦品种连麦12响应禾谷镰刀菌侵染过程中的核心基因,为小麦赤霉病防御分子网络提供理论参考。【方法】对成功感染禾谷镰刀菌的连麦12小穗进行转录组测序,通过DESeq筛选差异表达基因(DEGs),对DEGs进行GO功能注释和KEGG信号通路富集分析,构建DEGs的蛋白质互作网络,通过MCODE和cytoHubba筛选核心基因。【结果】对小麦品种连麦12接种禾谷镰刀菌(处理组)和接种无菌去离子水(对照,CK) 72 h后的DEGs进行筛选,结果共筛选出14180个DEGs,其中有10966个DEGs上调表达,有3214个DEGs下调表达。经GO功能注释分成三大类,共51个条目,其中,细胞组分包含14个条目,主要富集在细胞、细胞部件和膜3个条目;分子功能包含11个条目,主要富集在催化活性和结合2个条目;生物学过程包含26个条目,主要富集在细胞过程、代谢过程和刺激反应3个条目。KEGG信号通路富集分析结果显示,富集到代谢、次级代谢物生物合成、苯丙烷类生物合成、植物信号激素转导、植物MAPK信号通路的DEGs数量最多;富集到光合作用—天线蛋白通路,苯丙氨酸、酪氨酸和色氨酸生物合成,谷胱甘肽代谢,黄酮和黄酮醇的生物合成,亚油酸代谢等通路的程度最高。以combined score>0.7构建蛋白质互作网络,共筛选出258个上调表达的DEGs。MCODE聚类构建筛选重要基因互作功能模块,获得2个重要基因功能模块分别包含13个(Score=7.67)和6个(Score=5.60)重要的DEGs。利用cytoHubba筛选蛋白质相互作用最紧密的10个核心基因,其结果与MCODE筛选结果重合。利用实时荧光定量PCR (qRT-PCR)对筛选的10个核心基因验证结果,与转录组测序结果基本一致。【结论】筛选的10个核心基因在禾谷镰刀菌侵染后均上调表达,说明这10个核心基因在连麦12对禾谷镰刀菌侵染的响应中发挥重要调控作用。

     

    Abstract: 【Objective】The purpose was to study the core genes of wheat cultivar Lianmai 12 in response to Fusarium graminearum infection, and provide theoretical bases for the defense molecular network in wheat fusarium head blight. 【Method】The transcriptome of Lianmai 12 spikelets, which successfully infected with F. graminearum, was sequenced. Screening differentially expressed genes(DEGs)through DESeq, conducting GO functional annotation and KEGG signaling pathway enrichment analysis. The protein-protein interaction network based on DEGs were constructed. Core genes were screened by MCODE and cytoHubba.【Result】After 72 h of inoculation with F. graminearum(treatment group)and sterile deionized water(control, CK)in Lianmai 12, a total of 14180 DEGs were screened, among which 10966 DEGs were up-regulated and 3214 DEGs were down-regulated. According to GO functional annotation, the could be divided into 3 major categories and 51 items. The cell components contained 14 items, mainly enriched in 3 items:cell, cell part and membrane. The molecular function included 11 items, mainly enriched in 2 items: catalytic activity and binding. Biological process include 26 items, mainly enriched in 3 items:cellular process, metabolic process, and response to stimulus. KEGG annotated the largest number of differential genes in metabolic pathways, biosynthesis of secondary metabolites, phenylpropanoid biosynthesis, plant hormone signal transduction and plant MAPK signaling pathways. KEGG pathway mostly enriched in photosynthesis-antenna proteins,phenylalanine,tyrosine and tryptophan biosynthesis,glutathione metabolism, flavone and flavonol biosynthesis and linoleic acid metabolism. Protein-protein interaction network was constructed with a combined score>0.7, and a total of 258 up-regulated main DEGs were screened. Important gene interaction module was constructed and screened by MCODE clustering, which obtained 2 important gene function modules containing 13(score=7.67)and 6(score=5.60)important DEGs respectively. The 10 core genes screened by cytoHubba, based on most closely interacting proteins, were coincided with the MCODE screening. The 10 core genes expression trends which verified by fluorescence quantification were basically consistent with the expression trends of transcriptome sequencing.【Conclusion】The expression of 10 core genes are all up-regulated after F. graminearum infection, which speculates that these 10 core genes play an important role in the response of Lianmai 12 to F. graminearum infection.

     

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