Deciphering the anthocyanin metabolism gene network in tea plant (Camellia sinensis) through structural equation modeling

Our study contributes valuable information into the dynamic equilibrium anthocyanin mechanism and sheds light on complex regulatory mechanisms that govern the synthesis, transport and degradation of these pigments. These insights could be further used to develop strategies for enhancing anthocyanins content in unique tea germplasm to aid tea industry in producing new tea products with increased health benefits and aesthetic appeals.

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Publication Details

Journal
BMC Genomics
Published
2024-11-15
DOI
https://doi.org/10.1186/s12864-024-11012-8
Citations
6
Primary Topic
Plant Gene Expression Analysis
Type
article
Field-Weighted Citation Impact
1.40

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article

Deciphering the anthocyanin metabolism gene network in tea plant (Camellia sinensis) through structural equation modeling

Hongling Zhang, Song Tang, Hongwei Chen, Mei Chen et al.
6 citations
BMC Genomics
Plant Gene Expression Analysis
1.40
article

Deciphering the anthocyanin metabolism gene network in tea plant (Camellia sinensis) through structural equation modeling

Hongling Zhang, Song Tang, Hongwei Chen, Mei Chen, Ling Ma, Jiwei Chen, Yijian Yang, Qiongxian Luo, Pan Xia, Peng-Wei Bi, Linbo Chen
article en
6 citations

Abstract

Our study contributes valuable information into the dynamic equilibrium anthocyanin mechanism and sheds light on complex regulatory mechanisms that govern the synthesis, transport and degradation of these pigments. These insights could be further used to develop strategies for enhancing anthocyanins content in unique tea germplasm to aid tea industry in producing new tea products with increased health benefits and aesthetic appeals.

BMC GenomicsVol. 25(1)
Yunnan Agricultural University (CN), Yunnan Academy of Agricultural Sciences (CN), Tea Research Institute (CN)
Universidade de Macau
Zero hunger
Openalex Percentile: Top 18%
Plant Gene Expression Analysis
1.40
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