Discovery of modules involved in the biosynthesis and regulation of maize phenolic compounds
Discovery of modules involved in the biosynthesis and regulation of maize phenolic compounds
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DOI：
10.1016/j.plantsci.2019.110364
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发表时间：
2020-02-01
期刊：
影响因子：
5.2
通讯作者：
Gray, John
中科院分区：
文献类型：
--
作者：
Gomez-Cano, Lina;Gomez-Cano, Fabio;Gray, John
酚类化合物是种类最多、分布最广的植物特化化合物之一，是许多重要农艺性状的基础。我们对玉米基因组的全面分析揭示了这一重要作物中苯丙烷、单乙醇和类黄酮生产相关基因的新方面。值得注意的是，只有19个基因占这些基因在95个组织中总mRNA积累的70%，表明这些基因是酚类代谢物通量的主要贡献者。80个中低表达的基因起着次要和更专门的作用。剩余的基因可能正在经历功能丧失或在有限的细胞类型中表达。系统发育和表达分析显示，哪些成员的基因家族管理代谢入口和分支点表现出重复，亚功能化，或功能丧失。在连续的生物合成步骤中应用于基因的共表达分析显示，某些同种型是高度共表达的，并且是代谢复合物的候选物，其确保代谢物递送到正确的细胞隔室。与转录因子的生物合成基因的共表达发现的连接，提供了候选组件的监管模块管理这一途径。我们的研究提供了一个全面的分析玉米苯丙素相关基因，确定主要途径贡献者，和新的候选酶和代谢网络的调控模块。
Phenolic compounds are among the most diverse and widespread of specialized plant compounds and underly many important agronomic traits. Our comprehensive analysis of the maize genome unraveled new aspects of the genes involved in phenylpropanoid, monolignol, and flavonoid production in this important crop. Remarkably, just 19 genes accounted for 70 % of the overall mRNA accumulation of these genes across 95 tissues, indicating that these are the main contributors to the flux of phenolic metabolites. Eighty genes with intermediate to low expression play minor and more specialized roles. Remaining genes are likely undergoing loss of function or are expressed in limited cell types. Phylogenetic and expression analyses revealed which members of gene families governing metabolic entry and branch points exhibit duplication, subfunctionalization, or loss of function. Co-expression analysis applied to genes in sequential biosynthetic steps revealed that certain isoforms are highly co-expressed and are candidates for metabolic complexes that ensure metabolite delivery to correct cellular compartments. Co-expression of biosynthesis genes with transcription factors discovered connections that provided candidate components for regulatory modules governing this pathway. Our study provides a comprehensive analysis of maize phenylpropanoid related genes, identifies major pathway contributors, and novel candidate enzymatic and regulatory modules of the metabolic network.