The identification of candidate radio marker genes using a coexpression network analysis in gamma‐irradiated rice

Plant physiological and biochemical processes are significantly affected by gamma irradiation stress. In addition, gamma‐ray (GA) differentially affects gene expression across the whole genome. In this study, we identified radio marker genes (RMGs) responding only to GA stress compared with six abiotic stresses (chilling, cold, anoxia, heat, drought and salt) in rice. To analyze the expression patterns of differentially expressed genes (DEGs) in gamma‐irradiated rice plants against six abiotic stresses, we conducted a hierarchical clustering analysis by using a complete linkage algorithm. The up‐ and downregulated DEGs were observed against six abiotic stresses in three and four clusters among a total of 31 clusters, respectively. The common gene ontology functions of upregulated DEGs in clusters 9 and 19 are associated with oxidative stress. In a Pearson's correlation coefficient analysis, GA stress showed highly negative correlation with salt stress. On the basis of specific data about the upregulated DEGs, we identified the 40 candidate RMGs that are induced by gamma irradiation. These candidate RMGs, except two genes, were more highly induced in rice roots than in other tissues. In addition, we obtained other 38 root‐induced genes by using a coexpression network analysis of the specific upregulated candidate RMGs in an ARACNE algorithm. Among these genes, we selected 16 RMGs and 11 genes coexpressed with three RMGs to validate coexpression network results. RT‐PCR assay confirmed that these genes were highly upregulated in GA treatment. All 76 genes (38 root‐induced genes and 38 candidate RMGs) might be useful for the detection of GA sensitivity in rice roots.     

NaCl胁迫下哈茨木霉ACCC32524的转录组和代谢组分析

【目的】通过分析NaCl胁迫下哈茨木霉(Trichoderma harzianum)ACCC32524转录组和代谢组数据,研究差异表达基因及次级代谢产物的变化情况,初步探索响应NaCl胁迫的分子机制。【方法】利用Illumina HiSeq XTen高通量测序平台完成0、0.4、0.6 mol/L NaCl浓度胁迫培养下哈茨木霉ACCC32524的转录组测序,GC-TOF-MS技术完成对0mol/L和0.6mol/LNaCl胁迫培养下的差异次级代谢产物检测,利用相关软件及数据库对差异表达基因(DEGs)和次级代谢产物的注释、筛选和分类,并进行RT-qPCR验证。【结果】本研究分别得到0.4 mol/L和0.6 mol/L NaCl胁迫下417和733条差异表达基因;GO富集分析显示,分别有318和582条差异表达基因注释到生物学过程、分子功能和细胞组分3个一级分类和40个二级分类;COG分类结果表明分别有232和414条转录本为20个类别,涉及差异表达基因最多的分别为氨基酸的转运和代谢、一般功能预测、碳水化合物的转运和代谢;KEGG代谢途径分析结果表明,分别有75和96条基因归到25个代谢通路中(P≤0.05),其中涉及差异基因最多的是氨基酸的生物合成和2-氧代羧酸代谢通路。从转录组数据中共筛选出与渗透调节、离子转运、活性氧清除等22个耐盐相关基因。0 mol/L和0.6 mol/L NaCl胁迫下的代谢组数据中共筛选出101个差异次级代谢产物,包括8种积累量上调和93种下调物质,其中36个得到定性,分属于糖类、有机酸和氨基酸等9个分类中。RT-qPCR验证挑选的差异表达基因的表达量变化,均与RNA-seq分析结果一致。【结论】NaCl胁迫下引起哈茨木霉ACCC32524基因及次级代谢产物发生明显变化,细胞代谢途径发生明显偏移,这些进程共同作用减少NaCl对细胞的毒害作用,为木霉菌的耐盐机理研究提供重要信息。     

杜仲雄花芽2个发育时期转录组分析

杜仲（Eucommia ulmoides）雄花富含多种活性成分和营养成分,具有重要的药用和营养价值。为了揭示杜仲雄蕊原基发育相关基因的表达情况,为杜仲雄花芽发育分子调控机制研究提供理论参考。本文以杜仲良种"华仲11号"（ "Huazhong No.11" ）为材料,采用lllumina高通量测序技术,分别对苞叶原基分化期和雄蕊原基分化期的花芽进行转录组测序,通过生物信息学对2个发育时期的转录组进行比较分析,筛选出与雄花芽形态发育相关的差异基因。结果显示,转录组测序共获得40.48 Gb过滤数据,各样品的clean reads与杜仲基因组进行序列比对,比对效率为90.56%~93.01%。在2个发育时期筛选出583个差异表达基因,其中在雄蕊原基发育期上调基因315个,下调基因267个。差异基因GO和KEGG功能分析显示,差异基因富集在与生长发育、光周期途径、激素合成和信号传导、碳代谢等相关的生物过程和代谢通路。结果显示光周期途径是杜仲成花诱导的重要途径,同时雄花芽在形态分化过程中受碳水化合物、植物激素和其他代谢物质调控。此外,MADS-box家族成员FLC、SOC1、AGL3和AGL8参与杜仲雄蕊器官发育。本研究为杜仲花发育基因调控提供了基础数据,也为雄花用杜仲的分子育种提供了参考。