A Genome-Wide Scenario of Terpene Pathways in Self-pollinated Artemisia annua

A Genome-Wide Scenario of Terpene Pathways in Self-pollinated Artemisia annua
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DOI:
10.1016/j.molp.2015.07.004
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发表时间:
2015-11-02
期刊:
影响因子:
27.5
通讯作者:
Xie, De-Yu
Xie, De-Yu
中科院分区:
生物学1区
文献类型:
--
作者:
Ma, Dong-Ming;Wang, Zhilong;Xie, De-Yu

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基因对青蒿代谢产物的作用场景仍未被研究。在这里,我们报告使用一种结合代谢组学、转录组学和基因功能分析的综合方法来描述该物种自花授粉品种的基因到萜类和萜类途径的情景。从14个组织中鉴定出88个代谢产物,包括22个倍半萜(如青蒿素)、26个单萜、2个三萜、1个二萜和38个其他非极性代谢产物。这些代谢物是由低位到高位的叶片和花产生的。来自6个组织的cDNA文库的序列被组装成18871个重叠群,组织中全基因组的基因表达谱与发育阶段和空间特异性密切相关。序列挖掘发现47个基因定位于青蒿素、非氨基二烯倍半萜、单萜、三萜、2-C-甲基-D-赤藓糖醇4-磷酸和甲氧戊酸途径。皮尔逊相关分析导致了网络整合,其特征是六个组织中同时存在的基因到基因表达模式和基因表达到代谢物水平之间的显著相关性。更重要的是,对紫穗菊-4,11-二烯合成酶基因表达的操纵不仅影响了这一途径对青蒿素、青蒿酸和青蒿素b的活性,而且还改变了非阿莫二烯倍半萜和全基因组的挥发性特征。这种与不同组织相关的基因到萜类的景观是青蒿素代谢工程的基础。
Scenarios of genes to metabolites in Artemisia annua remain uninvestigated. Here, we report the use of an integrated approach combining metabolomics, transcriptomics, and gene function analyses to characterize gene-to-terpene and terpene pathway scenarios in a self-pollinating variety of this species. Eighty-eight metabolites including 22 sesquiterpenes (e.g., artemisinin), 26 monoterpenes, two triterpenes, one diterpene and 38 other non-polar metabolites were identified from 14 tissues. These metabolites were differentially produced by leaves and flowers at lower to higher positions. Sequences from cDNA libraries of six tissues were assembled into 18 871 contigs and genome-wide gene expression profiles in tissues were strongly associated with developmental stages and spatial specificities. Sequence mining identified 47 genes that mapped to the artemisinin, non-amorphadiene sesquiterpene, monoterpene, triterpene, 2-C-methyl-D-erythritol 4-phosphate and mevalonate pathways. Pearson correlation analysis resulted in network integration that characterized significant correlations of gene-to-gene expression patterns and gene expression-to-metabolite levels in six tissues simultaneously. More importantly, manipulations of amorpha-4,11-diene synthase gene expression not only affected the activity of this pathway toward artemisinin, artemisinic acid, and arteannuin b but also altered non-amorphadiene sesquiterpene and genome-wide volatile profiles. Such gene-to-terpene landscapes associated with different tissues are fundamental to the metabolic engineering of artemisinin.