Gene Coexpression Networks Reveal Key Drivers of Flavonoid Variation in Eleven Tea Cultivars (Camellia sinensis)

文献类型： 外文期刊

第一作者： Zheng, Chao

作者： Zheng, Chao;Ma, Jian-Qiang;Chen, Jie-Dan;Ma, Chun-Lei;Chen, Wei;Yao, Ming-Zhe;Chen, Liang

作者机构：

关键词： Camellia sinensis; catechin biosynthesis; metabolomic flux; weighted gene coexpression network (WGCNA); widely targeted metabolomics; functional genomics

期刊名称：JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY （ 影响因子：5.279； 五年影响因子：5.269 ）

ISSN： 0021-8561

年卷期： 2019 年 67 卷 35 期

页码：

收录情况： SCI

摘要： Following the recent completion of the draft genome sequence of the tea plant, high-throughput decoding of gene function, especially for those involved in complex secondary metabolic pathways, has become a major challenge. Here, we profiled the metabolome and transcriptome of 11 tea cultivars, and then illustrated a weighted gene coexpression network analysis (WGCNA)-based system biological strategy to interpret metabolomic flux, predict gene functions, and mine key regulators involved in the flavonoid biosynthesis pathway. We constructed a multilayered regulatory network, which integrated the gene coexpression relationship with the microRNA target and promoter cis-regulatory element information. This allowed us to reveal new uncharacterized TFs (e.g., MADSs, WRKYs, and SBPs) and microRNAs (including 17 conserved and 15 novel microRNAs) that are potentially implicated in different steps of the catechin biosynthesis. Furthermore, we applied metabolicsignature-based association method to capture additional key regulators involved in catechin pathway. This provides important clues for the functional characterization of five SCPL1A acyltransferase family members, which might be implicated in the production balance of anthocyanins, galloylated catechins, and proanthocyanins. Application of an "omits"-based system biology strategy should facilitate germplasm utilization and provide valuable resources for tea quality improvement.

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