Evidence map›Paper›PMID 38203412›Full record

ArticleInternational journal of molecular sciences2023

Integrated Analysis of Metabolome and Transcriptome Revealed Different Regulatory Networks of Metabolic Flux in Tea Plants [

Yazhen Zhang, Liyuan Wang, Xiangrui Kong, Zhihui Chen, Sitong Zhong, Xinlei Li, Ruiyang Shan, Xiaomei You, Kang Wei, Changsong Chen

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
2.3field-weighted citation impact, top 12% 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

2 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Article
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

10 authors at 2 institutions in 1 country.

Yazhen ZhangTea Research Institute, Fujian Academy of Agricultural Sciences, Fuzhou 350012, China.
Liyuan WangKey Laboratory of Tea Biology and Resources Utilization, Ministry of Agriculture, National Center for Tea Improvement, Tea Research Institute Chinese Academy of Agricultural Sciences (TRICAAS), Hangzhou 310008, China.ORCID 0000-0002-1605-9192
Xiangrui KongTea Research Institute, Fujian Academy of Agricultural Sciences, Fuzhou 350012, China.
Zhihui ChenTea Research Institute, Fujian Academy of Agricultural Sciences, Fuzhou 350012, China.
Sitong ZhongTea Research Institute, Fujian Academy of Agricultural Sciences, Fuzhou 350012, China.
Xinlei LiTea Research Institute, Fujian Academy of Agricultural Sciences, Fuzhou 350012, China.ORCID 0000-0001-7793-5654
Ruiyang ShanTea Research Institute, Fujian Academy of Agricultural Sciences, Fuzhou 350012, China.
Xiaomei YouTea Research Institute, Fujian Academy of Agricultural Sciences, Fuzhou 350012, China.
Kang WeiKey Laboratory of Tea Biology and Resources Utilization, Ministry of Agriculture, National Center for Tea Improvement, Tea Research Institute Chinese Academy of Agricultural Sciences (TRICAAS), Hangzhou 310008, China.ORCID 0000-0002-7517-7201
Changsong ChenTea Research Institute, Fujian Academy of Agricultural Sciences, Fuzhou 350012, China.
Fujian Academy of Agricultural Sciences · CNChinese Academy of Agricultural Sciences · CN

Funding

"5511" Collaborative Innovation Project XTCXGC2021004Basic Scientific Research Funds of Public Welfare Scientific Research Institutes of Fujian Province 2021R1029003Basic Scientific Research Funds of Public Welfare Scientific Research Institutes of Fujian Province 2022R1029002China Agriculture Research System CARS-19
6 · The paper itself

Abstract

Leaf color variations in tea plants were widely considered due to their attractive phenotypes and characteristic flavors. The molecular mechanism of color formation was extensively investigated. But few studies focused on the transformation process of leaf color change. In this study, four strains of 'Baijiguan' F1 half-sib generation with similar genetic backgrounds but different colors were used as materials, including Green (G), Yellow-Green (Y-G), Yellow (Y), and Yellow-Red (Y-R). The results of broadly targeted metabolomics showed that 47 metabolites were differentially accumulated in etiolated leaves (Y-G, Y, and Y-R) as compared with G. Among them, lipids were the main downregulated primary metabolites in etiolated leaves, which were closely linked with the thylakoid membrane and chloroplast structure. Flavones and flavonols were the dominant upregulated secondary metabolites in etiolated leaves, which might be a repair strategy for reducing the negative effects of dysfunctional chloroplasts. Further integrated analysis with the transcriptome indicated different variation mechanisms of leaf phenotype in Y-G, Y, and Y-R. The leaf color formation of Y-G and Y was largely determined by the increased content of eriodictyol-7-O-neohesperidoside and the enhanced activities of its modification process, while the color formation of Y-R depended on the increased contents of apigenin derivates and the vigorous processes of their transportation and transcription factor regulation. The key candidate genes, including

Indexed as

Camellia sinensisMetabolomePlant LeavesTranscriptomeCamellia sinensisflavonoidleaf colorlipidmetabolometranscriptome

Identifiers

PMID38203412
PMCPMC10779186
OpenAlexW4390175362

What OpenQuestion holds

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LicenceCC BY
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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.