Combination of transcriptomic and metabolomic analyses reveals a JAZ repressor in the jasmonate signaling pathway of Salvia miltiorrhiza.
Combination of transcriptomic and metabolomic analyses reveals a JAZ repressor in the jasmonate signaling pathway of Salvia miltiorrhiza.
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转录组学和代谢组学分析相结合揭示了丹参茉莉酸信号通路中的 JAZ 阻遏蛋白。
DOI：
10.1038/srep14048
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发表时间：
2015-09-21
影响因子：
4.6
通讯作者：
Wang ZZ
中科院分区：
文献类型：
--
作者：
Ge Q;Zhang Y;Hua WP;Wu YC;Jin XX;Song SH;Wang ZZ
茉莉酸酯（JAs）是植物特有的关键信号分子，对各种刺激做出反应，并参与次生代谢产物的合成。然而，对JA信号通路知之甚少，特别是在经济上重要的药用植物中。为了确定新的基因，参与JA介导的次生代谢产物的积累的功能，我们研究了丹参的代谢组学和转录组学签名。对于代谢物组，提取并鉴定了35种蓄积率显著变化的代表性代谢物。筛选出2131个差异表达的单基因，其中30个与酚类次生代谢途径有关，25个与JA生物合成和信号途径有关。在MeJA诱导的几个新基因中，选择SmJAZ8进行详细的功能分析。过量表达SmJAZ8的转基因植株表现出JA不敏感表型，表明该基因是S.丹参。此外，这种转基因工具揭示了JAZ基因在次生代谢产物的组成性积累中具有新的功能。基于这些发现，我们认为转录组学和代谢组学分析相结合的策略对于高效发现植物中的新基因是有价值的。
Jasmonates (JAs) are plant-specific key signaling molecules that respond to various stimuli and are involved in the synthesis of secondary metabolites. However, little is known about the JA signal pathway, especially in economically significant medicinal plants. To determine the functions of novel genes that participate in the JA-mediated accumulation of secondary metabolites, we examined the metabolomic and transcriptomic signatures from Salvia miltiorrhiza. For the metabolome, 35 representative metabolites showing significant changes in rates of accumulation were extracted and identified. We also screened out 2131 differentially expressed unigenes, of which 30 were involeved in the phenolic secondary metabolic pathway, while 25 were in the JA biosynthesis and signal pathways. Among several MeJA-induced novel genes, SmJAZ8 was selected for detailed functional analysis. Transgenic plants over-expressing SmJAZ8 exhibited a JA-insensitive phenotype, suggesting that the gene is a transcriptional regulator in the JA signal pathway of S. miltiorrhiza. Furthermore, this transgenic tool revealed that JAZ genes have novel function in the constitutive accumulation of secondary metabolites. Based on these findings, we propose that the combined strategy of transcriptomic and metabolomic analyses is valuable for efficient discovery of novel genes in plants.