[关键词]
[摘要]
目的 通过权重基因共表达网络分析(weighted gene co-expression network analysis,WGCNA)挖掘人参皂苷Rh1生物合成相关基因。方法 以种植于吉林省人参主产区304个农家品种的转录组测序数据为基础,以人参皂苷Rh1含量为表型进行差异表达基因的挖掘。结果 通过WGCNA获得6个与人参皂苷Rh1含量密切相关的基因共表达模块,根据关联分析结果确定Green模块为与人参皂苷Rh1含量显著相关的关键模块。功能注释结果显示Green模块内的基因富集到mRNA结合、蛋白修饰等多个相关途径。通过构建基因互作网络筛选获得7个核心基因,功能预测表明这些基因可能在人参皂苷Rh1的生物合成途径中起着重要作用。对7个候选基因进行茉莉酸甲酯(methyl jasmonate,MeJA)体外调控分析。对人参不定根进行MeJA诱导处理,随MeJA的诱导,comp9517_c0_seq1、comp10896_c0_seq1、comp43180_c0_seq2、comp64014_c0_seq8的表达量与人参皂苷Rh1的含量同时呈现显著变化,但只有comp64014_c0_seq8的表达趋势与人参皂苷Rh1在MeJA诱导下的表达趋势相同,表明这条候选基因可能与人参皂苷Rh1的合成密切相关。结论 为人参皂苷Rh1生物合成途径的解析提供了理论基础。
[Key word]
[Abstract]
Objective The aim of this study is to unearth genes associated with the biosynthesis of ginsenoside Rh1 employ through weighted gene co-expression network analysis (WGCNA). Methods Utilizing transcriptome sequencing data from 304 distinct domesticated varieties of ginseng cultivated in the primary ginseng-producing region of Jilin Province, China, we conducted a differentially expressed gene mining with ginsenoside Rh1 content as the phenotypic parameter. Results A total ofsix co-expression modules of genes intimately correlated with ginsenoside Rh1 content was gained by employing WGCNA. Subsequent correlation analyses highlighted the Green module as a pivotal module significantly associated with ginsenoside Rh1 content. Functional annotation results revealed that genes within the Green module were enriched in several pathways, including mRNA binding and protein modification. A total of seven core genes were selected by constructing gene interaction network, and functional prediction indicated that these genes may play crucial roles in the biosynthesis pathway of ginsenoside Rh1. In vitro modulation analysis of methyl jasmonate (MeJA) was performed on these seven candidate genes. Upon MeJA induction in ginseng adventitious roots, the expression levels of comp9517_c0_seq1, comp10896_c0_seq1, comp43180_c0_seq2, and comp64014_c0_seq8 and ginsenoside Rh1 content exhibited significant simultaneous changes. However, only the expression trend of comp64014_c0_seq8 was the same as that of ginsenoside Rh1 induced by MeJA, indicating that this candidate gene may be closely related to ginsenoside Rh1 synthesis. Conclusion This study lays the theoretical foundation for unraveling the biosynthesis pathway of ginsenoside Rh1.
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[基金项目]
吉林省科技厅项目(20180101027JC,20200403011SF);国家自然科学基金青年基金项目(31401445)