Evidence map›Paper›PMID 37176867›Full record

ArticlePlants (Basel, Switzerland)2023

Effects of Magnesium on Transcriptome and Physicochemical Index of Tea Leaves.

Ying Zhang, Qi Zhang, Yuhua Wang, Shaoxiong Lin, Meihui Chen, Pengyuan Cheng, Yuchao Wang, Mengru Du, Xiaoli Jia, Haibin Wang and 1 more

Open access · goldAbstract read
In one paragraph

Article in Plants (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
3.0field-weighted citation impact, top 9% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 20 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 3 institutions in 1 country.

Ying ZhangCollege of Tea and Food, Wuyi University, Wuyishan 354300, China.
Qi ZhangCollege of Tea and Food, Wuyi University, Wuyishan 354300, China.
Yuhua WangCollege of Life Science, Fujian Agriculture and Forestry University, Fuzhou 350002, China.
Shaoxiong LinCollege of Life Science, Longyan University, Longyan 364012, China.
Meihui ChenCollege of Tea and Food, Wuyi University, Wuyishan 354300, China.
Pengyuan ChengCollege of Life Science, Longyan University, Longyan 364012, China.
Yuchao WangCollege of Life Science, Fujian Agriculture and Forestry University, Fuzhou 350002, China.
Mengru DuCollege of Tea and Food, Wuyi University, Wuyishan 354300, China.
Xiaoli JiaCollege of Tea and Food, Wuyi University, Wuyishan 354300, China.
Haibin WangCollege of Tea and Food, Wuyi University, Wuyishan 354300, China.
Jianghua YeCollege of Tea and Food, Wuyi University, Wuyishan 354300, China.ORCID 0000-0002-9743-1848
Wuyi University · CNFujian Agriculture and Forestry University · CNLongyan University · CN

Funding

anping City Science and Technology Plan Project (NP2021KTS06Faculty and students co-creation team of Wuyi University 2021-SSTD-01, 2021-SSTD-05National 948 project 2014-Z36Natural Science Foundation of Fujian Province 2020J01369, 2020J01408, 2022J01139
6 · The paper itself

Abstract

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.

Indexed as

magnesiumphotosynthesisqualitytea treetranscriptomics

Identifiers

PMID37176867
PMCPMC10181054
OpenAlexW4367314113

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.