香蕉枯萎病菌4号生理小种关键激酶的转录组学鉴定与表达模式分析

Identification and expression pattern of key kinases in Fusarium oxysporum f. sp. cubense race 4

  • 摘要: 【目的】 鉴定香蕉枯萎病菌4号生理小种(Foc4)侵染过程中的关键上调表达激酶基因及其表达动态,解析其潜在的功能及调控关联,为香蕉枯萎病的绿色防控提供理论依据。【方法】 利用NCBI数据库获取Foc4参考基因组,对Foc4全基因组蛋白进行Pfam和Kinomer联合分析,系统鉴定蛋白激酶。结合报道的Foc4侵染感病巴西蕉根部不同时期(18、32和56 h)的转录组数据,以侵染后18 h的样品为分析基准,筛选显著上调的激酶基因,并基于转录组数据的每千碱基每百万条读取数(FPKM)值进行聚类分析和致病性基因共表达分析。对筛选出的关键激酶进行系统发育分析,并进一步基于转录组数据的FPKM值计算其与Foc4中病原菌—宿主互作数据库(PHI)同源基因的相关系数,构建激酶基因—PHI同源基因相关性网络。【结果】 共鉴定170个Foc4激酶基因,其中有15个激酶基因在至少1个侵染时间点被显著诱导上调表达。系统发育分析显示,FOIG_08124聚类于典型FoMKK2丝裂原活化蛋白激酶激酶(MAPKK)分支,与Foc4 FoMKK2及稻瘟病菌Ste7同源,推测其参与MAPK信号通路调控;而FOIG_06776属于独立的α-激酶类,与MAPK级联系统分化较远,可能参与非典型应激或代谢调控过程。聚类结果显示,15个上调激酶基因可分为逐步上调型、中期或晚期高表达型和稳定表达型3类。共表达与相关性网络分析结果显示,关键激酶基因FOIG_08124FOIG_06776与多种PHI同源基因呈正相关,形成以FOIG_08124FOIG_06776为核心的调控网络。【结论】 FOIG_08124为MAPK级联核心激酶,可能与真菌生长发育和致病性密切相关;FOIG_06776代表功能分化的激酶群,可能介导非典型代谢应答与宿主适应性调节。FOIG_08124FOIG_06776基因与PHI同源基因呈广泛相关,说明其在病程适应性响应与致病调控中具有重要作用。

     

    Abstract: 【Objective】 This study aimed to systematically identify the key up-regulated kinase genes during Fusarium oxysporum f. sp. cubense race 4 (Foc4) infection and characterize their dynamic expression patterns, analyze its potential functions and regulatory relationships, providing theoretical basis for the green control of banana wilt disease.【Method】 The Foc4 reference genome was retrieved from NCBI, a combined Pfam and Kinomer analysis on Foc4 entire genome proteins was conducted to systematically identify protein kinases. Publicly available transcriptomic datasets from Musa acuminata roots infected by Foc4 at three time points (18, 32, and 56 h) were analyzed, using the 18 h post-inoculation sample as the reference to identify significantly up-regulated kinase genes. Cluster analysis and co-expression analysis of pathogenic gene were conducted based on transcriptomic FPKM (fragments per kilobase of transcript per million mapped reads) values. Phylogenetic analysis was performed for the screened key kinases. Additionally, based on the FPKM va-lues of the transcriptome data, the correlation coefficients between these genes and the homologous genes in the pathogen-host interaction database (PHI) of Foc4 were calculated, and a kinase gene-PHI homologous gene correlation network was constructed.【Result】 A total of 170 Foc4 kinase genes were identified, of which 15 showed significant up-regulation on at least a infection time point. Phylogenetic analysis revealed that FOIG_08124 clustered within the typical FoMKK2 mitogen-activated protein kinase kinase (MAPKK) clade, showing orthologs with Foc4 FoMKK2 and Magnaporthe oryzae Ste7, suggesting involvement in MAPK signaling pathway regulation. In contrast, FOIG_06776 belonged to an independent α-kinase clade, evolutionarily distinct from the MAPK cascade system, and might be participating in atypical stress-response or metabolic regulation process. Cluster analysis revealed 3 temporal expression patterns for the 15 up-regulated kinase genes: gradually up-regulated, highly expressed at midolle stage late stage, and stably expressed. Co-expression and correlation network analysis demonstrated that key kinases genes FOIG_08124 and FOIG_06776 were positively correlated with multiple PHI homologous genes, forming an regulation network centered on FOIG_08124 and FOIG_06776.【Conclusion】 FOIG_08124, a core MAPK cascade kinase, likely plays crucial roles in fungal growth and pathogenicity, while FOIG_06776 represents a functionally diverged kinase group that may mediate atypical metabolic responses and the regulation of host adaptation. Both FOIG_08124 and FOIG_06776 genes show broad associations with PHI homologous genes, indicating that they play important roles in adaptive responses during disease progression and in the regulation of pathogenicity.

     

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