Identification of candidate genes related to glycoside aroma precursor content in tea plant using WGCNA

By analyzing transcriptome data from tender shoots of different tea cultivars in autumn, key genes involved in the regulation of glycoside aroma precursor (GAP) biosynthesis were identified. This study provides a theoretical foundation for elucidating the biosynthetic mechanisms of GAPs and for guiding the breeding of tea cultivars with high GAP content. Tender shoots from 14 tea cultivars were used to quantify eight types of GAPs. Weighted gene co-expression network analysis (WGCNA) was applied to integrate transcriptomic data with GAP content, enabling the identification of co-expression modules and candidate genes related to GAP biosynthesis and accumulation. The distribution of the eight GAP types in tender shoots was uneven, with phenylpropanoid-type GAPs showing significantly higher accumulation than terpene-type GAPs. A total of 4277 differentially expressed genes (DEGs) were identified by comparing high-GAP and low-GAP cultivars. Quantitative real-time polymerase chain reaction (qRT-PCR) validation of selected DEGs showed results consistent with transcriptomic data, confirming the reliability of the analysis. WGCNA identified 26 co-expression modules, among which four modules—MEorange, MEyellow, MEdarkturquoise, and MElightcyan—were significantly correlated with the main GAP types (<italic>P</italic> &lt; 0.01). GO and KEGG enrichment analyses were performed on genes within these key modules. Based on gene connectivity and functional annotation, 16 key genes were identified, including 13 structural genes (four <italic>GSTs</italic>, three <italic>GTs</italic>, three <italic>TPSs</italic>, one <italic>CYP450</italic>, one <italic>CHI</italic>, and one <italic>DFR</italic>) and three transcription factor genes (two <italic>NACs</italic> and one <italic>WRKY</italic>). The seasonal variation in terpene- and phenylpropanoid-type GAP accumulation in autumn was notable, and the identified genes are likely to play central roles in regulating GAP biosynthesis and accumulation in tender tea shoots.

Authors

Publication Details

Journal
ACTA AGRONOMICA SINICA
Published
2025-09-23
DOI
https://doi.org/10.3724/sp.j.1006.2026.54082
Primary Topic
Tea Polyphenols and Effects
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Identification of candidate genes related to glycoside aroma precursor content in tea plant using WGCNA

Li-Lan Zhang, Rang-Jian WANG, Jun Yang
ACTA AGRONOMICA SINICA
Tea Polyphenols and Effects
article

Identification of candidate genes related to glycoside aroma precursor content in tea plant using WGCNA

Li-Lan Zhang, Rang-Jian WANG, Jun Yang
article en

Abstract

By analyzing transcriptome data from tender shoots of different tea cultivars in autumn, key genes involved in the regulation of glycoside aroma precursor (GAP) biosynthesis were identified. This study provides a theoretical foundation for elucidating the biosynthetic mechanisms of GAPs and for guiding the breeding of tea cultivars with high GAP content. Tender shoots from 14 tea cultivars were used to quantify eight types of GAPs. Weighted gene co-expression network analysis (WGCNA) was applied to integrate transcriptomic data with GAP content, enabling the identification of co-expression modules and candidate genes related to GAP biosynthesis and accumulation. The distribution of the eight GAP types in tender shoots was uneven, with phenylpropanoid-type GAPs showing significantly higher accumulation than terpene-type GAPs. A total of 4277 differentially expressed genes (DEGs) were identified by comparing high-GAP and low-GAP cultivars. Quantitative real-time polymerase chain reaction (qRT-PCR) validation of selected DEGs showed results consistent with transcriptomic data, confirming the reliability of the analysis. WGCNA identified 26 co-expression modules, among which four modules—MEorange, MEyellow, MEdarkturquoise, and MElightcyan—were significantly correlated with the main GAP types (<italic>P</italic> &lt; 0.01). GO and KEGG enrichment analyses were performed on genes within these key modules. Based on gene connectivity and functional annotation, 16 key genes were identified, including 13 structural genes (four <italic>GSTs</italic>, three <italic>GTs</italic>, three <italic>TPSs</italic>, one <italic>CYP450</italic>, one <italic>CHI</italic>, and one <italic>DFR</italic>) and three transcription factor genes (two <italic>NACs</italic> and one <italic>WRKY</italic>). The seasonal variation in terpene- and phenylpropanoid-type GAP accumulation in autumn was notable, and the identified genes are likely to play central roles in regulating GAP biosynthesis and accumulation in tender tea shoots.

ACTA AGRONOMICA SINICAVol. 52(2)
Fujian Academy of Agricultural Sciences
Zero hunger
Openalex Percentile: Top 25%
Tea Polyphenols and Effects
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Identification of candidate genes related to glycoside aroma precursor content in tea plant using WGCNA — Li-Lan Zhang, Rang-Jian WANG, et al. · ACTA AGRONOMICA SINICA (2025) | TGRS Research Map | TGRS