jf9b04422_si_005.xlsx (48.7 kB)
Gene Coexpression Networks Reveal Key Drivers of Flavonoid Variation in Eleven Tea Cultivars (Camellia sinensis)
dataset
posted on 2019-08-23, 14:41 authored by Chao Zheng, Jian-Qiang Ma, Jie-Dan Chen, Chun-Lei Ma, Wei Chen, Ming-Zhe Yao, Liang ChenFollowing
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 metabolic-signature-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 “omics”-based
system biology strategy should facilitate germplasm utilization and
provide valuable resources for tea quality improvement.
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gene coexpression network analysismicroRNA targetSCPL 1A acyltransferase family members11 tea cultivarsWRKYdraft genome sequenceelement informationhigh-throughput decodingCamellia sinensisgalloylated catechins15 novel microRNAsMADSflavonoid biosynthesis pathwaytea planttea quality improvementFlavonoid VariationTea Cultivarsstrategycatechin biosynthesismetabolic-signature-based association methodgene coexpression relationshipgene Coexpression Networks Reveal Key DriversSBPregulatorgene functiongermplasm utilizationgene functionscatechin pathwayproduction balanceWGCNAuncharacterized TFsmetabolomic fluxpromoter cis
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