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

Abstract Background Tea is an important cash crop that significantly contributes to rural development, poverty reduction and food security in many developing countries. It provides livelihoods for millions of smallholder producers and aids their economic stability. Anthocyanins in tea leaves provide...

Full description

Saved in:
Bibliographic Details
Main Authors: Pan Xia, Mei Chen, Linbo Chen, Yijian Yang, Ling Ma, Pinpin Bi, Song Tang, Qiongxian Luo, Jiwei Chen, Hongwei Chen, Hongling Zhang
Format: Article
Language:English
Published: BMC 2024-11-01
Series:BMC Genomics
Subjects:
Online Access:https://doi.org/10.1186/s12864-024-11012-8
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1846165566172168192
author Pan Xia
Mei Chen
Linbo Chen
Yijian Yang
Ling Ma
Pinpin Bi
Song Tang
Qiongxian Luo
Jiwei Chen
Hongwei Chen
Hongling Zhang
author_facet Pan Xia
Mei Chen
Linbo Chen
Yijian Yang
Ling Ma
Pinpin Bi
Song Tang
Qiongxian Luo
Jiwei Chen
Hongwei Chen
Hongling Zhang
author_sort Pan Xia
collection DOAJ
description Abstract Background Tea is an important cash crop that significantly contributes to rural development, poverty reduction and food security in many developing countries. It provides livelihoods for millions of smallholder producers and aids their economic stability. Anthocyanins in tea leaves provides excellent commercial quality and germplasm exploration potential. These compounds give tea leaves vibrant colors and increase health benefits. The current understanding of the synergistic regulation mechanisms responsible for color changes in purple tea, attributed to anthocyanin degradation, remains unclear. Results In this study, we have identified 30 gene families within the genome that are associated to with anthocyanin metabolism from tea. These gene families play distinct roles in the biosynthesis of anthocyanin including the formation of the core, structure, modification of the molecular framework, facilitation of transport process, regulation of gene expression, breakdown pathways, sugar transportation and iron ion respectively. Subsequently, we investigated the synergistic mechanisms of anthocyanin metabolism related gene families within tea leaves using structural equation modeling. The results showed that sugar transport positively affects anthocyanin transportation, and promotes anthocyanin degradation during leaf pigmentation, whereas, it inhibits anthocyanin degradation during the fading of leaf color. Further, Iron ions facilitate the degradation of anthocyanins during their deposition and conversely, impede this degradation process during digestion. These finding suggests that tea plants may regulate the synthesis and degradation of anthocyanins through sugar transport and iron ions ensure healthy levels and vibrant colors. Conclusions 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.
format Article
id doaj-art-9b23e24cb80f45b7a39a6d7708754b9d
institution Kabale University
issn 1471-2164
language English
publishDate 2024-11-01
publisher BMC
record_format Article
series BMC Genomics
spelling doaj-art-9b23e24cb80f45b7a39a6d7708754b9d2024-11-17T12:11:22ZengBMCBMC Genomics1471-21642024-11-0125111610.1186/s12864-024-11012-8Deciphering the anthocyanin metabolism gene network in tea plant (Camellia sinensis) through structural equation modelingPan Xia0Mei Chen1Linbo Chen2Yijian Yang3Ling Ma4Pinpin Bi5Song Tang6Qiongxian Luo7Jiwei Chen8Hongwei Chen9Hongling Zhang10College of Agronomy and Biotechnology, Yunnan Agricultural UniversityTea Research Institute, Yunnan Academy of Agricultural SciencesTea Research Institute, Yunnan Academy of Agricultural SciencesTea Research Institute, Yunnan Academy of Agricultural SciencesTea Research Institute, Yunnan Academy of Agricultural SciencesTea Research Institute, Yunnan Academy of Agricultural SciencesTea Research Institute, Yunnan Academy of Agricultural SciencesTea Research Institute, Yunnan Academy of Agricultural SciencesTea Research Institute, Yunnan Academy of Agricultural SciencesTea Research Institute, Yunnan Academy of Agricultural SciencesTea Research Institute, Yunnan Academy of Agricultural SciencesAbstract Background Tea is an important cash crop that significantly contributes to rural development, poverty reduction and food security in many developing countries. It provides livelihoods for millions of smallholder producers and aids their economic stability. Anthocyanins in tea leaves provides excellent commercial quality and germplasm exploration potential. These compounds give tea leaves vibrant colors and increase health benefits. The current understanding of the synergistic regulation mechanisms responsible for color changes in purple tea, attributed to anthocyanin degradation, remains unclear. Results In this study, we have identified 30 gene families within the genome that are associated to with anthocyanin metabolism from tea. These gene families play distinct roles in the biosynthesis of anthocyanin including the formation of the core, structure, modification of the molecular framework, facilitation of transport process, regulation of gene expression, breakdown pathways, sugar transportation and iron ion respectively. Subsequently, we investigated the synergistic mechanisms of anthocyanin metabolism related gene families within tea leaves using structural equation modeling. The results showed that sugar transport positively affects anthocyanin transportation, and promotes anthocyanin degradation during leaf pigmentation, whereas, it inhibits anthocyanin degradation during the fading of leaf color. Further, Iron ions facilitate the degradation of anthocyanins during their deposition and conversely, impede this degradation process during digestion. These finding suggests that tea plants may regulate the synthesis and degradation of anthocyanins through sugar transport and iron ions ensure healthy levels and vibrant colors. Conclusions 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.https://doi.org/10.1186/s12864-024-11012-8PLS-SEMSugar transporterAnthocyaninCamellia sinensis
spellingShingle Pan Xia
Mei Chen
Linbo Chen
Yijian Yang
Ling Ma
Pinpin Bi
Song Tang
Qiongxian Luo
Jiwei Chen
Hongwei Chen
Hongling Zhang
Deciphering the anthocyanin metabolism gene network in tea plant (Camellia sinensis) through structural equation modeling
BMC Genomics
PLS-SEM
Sugar transporter
Anthocyanin
Camellia sinensis
title Deciphering the anthocyanin metabolism gene network in tea plant (Camellia sinensis) through structural equation modeling
title_full Deciphering the anthocyanin metabolism gene network in tea plant (Camellia sinensis) through structural equation modeling
title_fullStr Deciphering the anthocyanin metabolism gene network in tea plant (Camellia sinensis) through structural equation modeling
title_full_unstemmed Deciphering the anthocyanin metabolism gene network in tea plant (Camellia sinensis) through structural equation modeling
title_short Deciphering the anthocyanin metabolism gene network in tea plant (Camellia sinensis) through structural equation modeling
title_sort deciphering the anthocyanin metabolism gene network in tea plant camellia sinensis through structural equation modeling
topic PLS-SEM
Sugar transporter
Anthocyanin
Camellia sinensis
url https://doi.org/10.1186/s12864-024-11012-8
work_keys_str_mv AT panxia decipheringtheanthocyaninmetabolismgenenetworkinteaplantcamelliasinensisthroughstructuralequationmodeling
AT meichen decipheringtheanthocyaninmetabolismgenenetworkinteaplantcamelliasinensisthroughstructuralequationmodeling
AT linbochen decipheringtheanthocyaninmetabolismgenenetworkinteaplantcamelliasinensisthroughstructuralequationmodeling
AT yijianyang decipheringtheanthocyaninmetabolismgenenetworkinteaplantcamelliasinensisthroughstructuralequationmodeling
AT lingma decipheringtheanthocyaninmetabolismgenenetworkinteaplantcamelliasinensisthroughstructuralequationmodeling
AT pinpinbi decipheringtheanthocyaninmetabolismgenenetworkinteaplantcamelliasinensisthroughstructuralequationmodeling
AT songtang decipheringtheanthocyaninmetabolismgenenetworkinteaplantcamelliasinensisthroughstructuralequationmodeling
AT qiongxianluo decipheringtheanthocyaninmetabolismgenenetworkinteaplantcamelliasinensisthroughstructuralequationmodeling
AT jiweichen decipheringtheanthocyaninmetabolismgenenetworkinteaplantcamelliasinensisthroughstructuralequationmodeling
AT hongweichen decipheringtheanthocyaninmetabolismgenenetworkinteaplantcamelliasinensisthroughstructuralequationmodeling
AT honglingzhang decipheringtheanthocyaninmetabolismgenenetworkinteaplantcamelliasinensisthroughstructuralequationmodeling