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Effects of Magnesium on Transcriptome and Physicochemical Index of Tea Leaves

Magnesium (Mg) is one of the essential elements for the growth of tea tree and is extremely important for its development. In this study, we investigated the effect of Mg on the transcriptome and physicochemical indexes of tea leaves, and the results showed that Mg could significantly affect the gen...

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Autores principales: Zhang, Ying, Zhang, Qi, Wang, Yuhua, Lin, Shaoxiong, Chen, Meihui, Cheng, Pengyuan, Wang, Yuchao, Du, Mengru, Jia, Xiaoli, Wang, Haibin, Ye, Jianghua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10181054/
https://www.ncbi.nlm.nih.gov/pubmed/37176867
http://dx.doi.org/10.3390/plants12091810
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author Zhang, Ying
Zhang, Qi
Wang, Yuhua
Lin, Shaoxiong
Chen, Meihui
Cheng, Pengyuan
Wang, Yuchao
Du, Mengru
Jia, Xiaoli
Wang, Haibin
Ye, Jianghua
author_facet Zhang, Ying
Zhang, Qi
Wang, Yuhua
Lin, Shaoxiong
Chen, Meihui
Cheng, Pengyuan
Wang, Yuchao
Du, Mengru
Jia, Xiaoli
Wang, Haibin
Ye, Jianghua
author_sort Zhang, Ying
collection PubMed
description Magnesium (Mg) is one of the essential elements for the growth of tea tree and is extremely important for its development. In this study, we investigated the effect of Mg on the transcriptome and physicochemical indexes of tea leaves, and the results showed that Mg could significantly affect the gene expression of tea leaves. The results of Orthogonal Partial Least-Squares Discriminant Analysis (OPLS-DA) model analysis showed that a total of 300 key genes (Variable Importance for the Projection, VIP > 1) were screened under different concentrations of Mg treatment, among which 140 genes were up-regulated and 160 genes were down-regulated. The bubble map was used to screen the characteristic genes from the above key genes, and a total of 121 representative characteristic genes were obtained, mainly involving 9 metabolic pathways. Among them, gene expression of three metabolic pathways, including porphyrin metabolism, alpha-linolenic acid metabolism and photosynthesis, showed an increasing trend with the increase of Mg concentration, while gene expression of four metabolic pathways, including biosynthesis of secondary metabolites, anthocyanin biosynthesis, ABC transporters, pentose and glucuronate interconversions, showed a decreasing trend. The results of physiological index analysis showed that with the increase of Mg concentration, the photosynthetic physiological index, theanine and soluble sugar content of tea leaves showed an increasing trend, while the content of tea polyphenol, flavone and caffeine showed a decreasing trend. The results of TOPSIS analysis showed that the physiological indexes of tea trees most affected by Mg were chlorophyll, tea polyphenols and flavonoids, while the metabolic pathways most affected by Mg on gene expression were the metabolic pathways and biosynthesis of secondary metabolites. It can be seen that the effects of Mg on tea tree were mainly related to photosynthesis and synthesis of secondary metabolites, and Mg was beneficial for improving the photosynthetic capacity of tea tree, enhancing the accumulation of primary metabolites, and thus increasing tea yield. However, Mg was not conducive to the synthesis of secondary metabolites of tea tree and the accumulation of main quality indexes of tea leaves.
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spelling pubmed-101810542023-05-13 Effects of Magnesium on Transcriptome and Physicochemical Index of Tea Leaves Zhang, Ying Zhang, Qi Wang, Yuhua Lin, Shaoxiong Chen, Meihui Cheng, Pengyuan Wang, Yuchao Du, Mengru Jia, Xiaoli Wang, Haibin Ye, Jianghua Plants (Basel) Article Magnesium (Mg) is one of the essential elements for the growth of tea tree and is extremely important for its development. In this study, we investigated the effect of Mg on the transcriptome and physicochemical indexes of tea leaves, and the results showed that Mg could significantly affect the gene expression of tea leaves. The results of Orthogonal Partial Least-Squares Discriminant Analysis (OPLS-DA) model analysis showed that a total of 300 key genes (Variable Importance for the Projection, VIP > 1) were screened under different concentrations of Mg treatment, among which 140 genes were up-regulated and 160 genes were down-regulated. The bubble map was used to screen the characteristic genes from the above key genes, and a total of 121 representative characteristic genes were obtained, mainly involving 9 metabolic pathways. Among them, gene expression of three metabolic pathways, including porphyrin metabolism, alpha-linolenic acid metabolism and photosynthesis, showed an increasing trend with the increase of Mg concentration, while gene expression of four metabolic pathways, including biosynthesis of secondary metabolites, anthocyanin biosynthesis, ABC transporters, pentose and glucuronate interconversions, showed a decreasing trend. The results of physiological index analysis showed that with the increase of Mg concentration, the photosynthetic physiological index, theanine and soluble sugar content of tea leaves showed an increasing trend, while the content of tea polyphenol, flavone and caffeine showed a decreasing trend. The results of TOPSIS analysis showed that the physiological indexes of tea trees most affected by Mg were chlorophyll, tea polyphenols and flavonoids, while the metabolic pathways most affected by Mg on gene expression were the metabolic pathways and biosynthesis of secondary metabolites. It can be seen that the effects of Mg on tea tree were mainly related to photosynthesis and synthesis of secondary metabolites, and Mg was beneficial for improving the photosynthetic capacity of tea tree, enhancing the accumulation of primary metabolites, and thus increasing tea yield. However, Mg was not conducive to the synthesis of secondary metabolites of tea tree and the accumulation of main quality indexes of tea leaves. MDPI 2023-04-28 /pmc/articles/PMC10181054/ /pubmed/37176867 http://dx.doi.org/10.3390/plants12091810 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Zhang, Ying
Zhang, Qi
Wang, Yuhua
Lin, Shaoxiong
Chen, Meihui
Cheng, Pengyuan
Wang, Yuchao
Du, Mengru
Jia, Xiaoli
Wang, Haibin
Ye, Jianghua
Effects of Magnesium on Transcriptome and Physicochemical Index of Tea Leaves
title Effects of Magnesium on Transcriptome and Physicochemical Index of Tea Leaves
title_full Effects of Magnesium on Transcriptome and Physicochemical Index of Tea Leaves
title_fullStr Effects of Magnesium on Transcriptome and Physicochemical Index of Tea Leaves
title_full_unstemmed Effects of Magnesium on Transcriptome and Physicochemical Index of Tea Leaves
title_short Effects of Magnesium on Transcriptome and Physicochemical Index of Tea Leaves
title_sort effects of magnesium on transcriptome and physicochemical index of tea leaves
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10181054/
https://www.ncbi.nlm.nih.gov/pubmed/37176867
http://dx.doi.org/10.3390/plants12091810
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