Evidence map›Paper›PMID 32600265›Full record

ArticleBMC plant biology2020

Integrated transcriptomics and metabolomics analysis of catechins, caffeine and theanine biosynthesis in tea plant (Camellia sinensis) over the course of seasons.

An-Dong Gong, Shuai-Bin Lian, Nan-Nan Wu, Yong-Jie Zhou, Shi-Qi Zhao, Li-Min Zhang, Lin Cheng, Hong-Yu Yuan

Open access · goldAbstract read
In one paragraph

Article in BMC plant biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
7.7field-weighted citation impact, top 2% 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

31 citing papers in PubMed, 82 citations in OpenAlex.

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  20. Application of Multi-Perspectives in Tea Breeding and the Main Directions.International journal of molecular sciences · 2023
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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

8 authors at 2 institutions in 1 country.

An-Dong GongHenan Key Laboratory of Tea Plant Biology, College of Life Science, Xinyang Normal University, Xinyang, 464000, People's Republic of China.
Shuai-Bin LianCollege of Physics and Electronic Engineering, Xinyang Normal University, Xinyang, 464000, People's Republic of China.
Nan-Nan WuHenan Key Laboratory of Tea Plant Biology, College of Life Science, Xinyang Normal University, Xinyang, 464000, People's Republic of China.
Yong-Jie ZhouCollege of Physics and Electronic Engineering, Xinyang Normal University, Xinyang, 464000, People's Republic of China.
Shi-Qi ZhaoHenan Key Laboratory of Tea Plant Biology, College of Life Science, Xinyang Normal University, Xinyang, 464000, People's Republic of China.
Li-Min ZhangCAS Key Laboratory of Magnetic Resonance in Biological Systems, State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, National Centre for Magnetic Resonance in Wuhan, Wuhan Institute of Physics and Mathematics, Chinese Academy of Sciences (CAS), Wuhan National Research Center for Optoelectronics, Wuhan, 430071, China.
Lin ChengHenan Key Laboratory of Tea Plant Biology, College of Life Science, Xinyang Normal University, Xinyang, 464000, People's Republic of China. chenglin0630@163.com.
Hong-Yu YuanHenan Key Laboratory of Tea Plant Biology, College of Life Science, Xinyang Normal University, Xinyang, 464000, People's Republic of China. yhongyu92@163.com.
Xinyang Normal University · CNChinese Academy of Sciences · CN

Funding

Nanhu Scholars Program for Young Scholars of Xinyang Normal University XYNUNational Natural Science Foundation of China 31701740Research and Practice on Higher Education Teaching Reform of Henan Province 2017SJGLX092
6 · The paper itself

Abstract

backgroundCatechins, caffeine, and theanine as three important metabolites in the tea leaves play essential roles in the formation of specific taste and shows potential health benefits to humans. However, the knowledge on the dynamic changes of these metabolites content over seasons, as well as the candidate regulatory factors, remains largely undetermined.

resultsAn integrated transcriptomic and metabolomic approach was used to analyze the dynamic changes of three mainly metabolites including catechins, caffeine, and theanine, and to explore the potential influencing factors associated with these dynamic changes over the course of seasons. We found that the catechins abundance was higher in Summer than that in Spring and Autumn, and the theanine abundance was significantly higher in Spring than that in Summer and Autumn, whereas caffeine exhibited no significant changes over three seasons. Transcriptomics analysis suggested that genes in photosynthesis pathway were significantly down-regulated which might in linkage to the formation of different phenotypes and metabolites content in the tea leaves of varied seasons. Fifty-six copies of nine genes in catechins biosynthesis, 30 copies of 10 genes in caffeine biosynthesis, and 12 copies of six genes in theanine biosynthesis were detected. The correlative analysis further presented that eight genes can be regulated by transcription factors, and highly correlated with the changes of metabolites abundance in tea-leaves.

conclusionSunshine intensity as a key factor can affect photosynthesis of tea plants, further affect the expression of major Transcription factors (TFs) and structural genes in, and finally resulted in the various amounts of catechins, caffeine and theaine in tea-leaves over three seasons. These findings provide new insights into abundance and influencing factors of metabolites of tea in different seasons, and further our understanding in the formation of flavor, nutrition and medicinal function.

Indexed as

CaffeineCamellia sinensisCatechinGene ExpressionGlutamatesMetabolomicsPhenotypePlant LeavesSeasonsTranscription FactorsTranscriptomeCaffeineCatechinGlutamatestheanineTranscription FactorsCaffeineCatechinsMetabolomicsSeasonsTheanineTranscriptomics

Identifiers

PMID32600265
PMCPMC7322862
OpenAlexW3037335453

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.