Evidence map›Paper›PMID 37045909›Full record

ArticleScientific reports2023

De novo full length transcriptome analysis of a naturally caffeine-free tea plant reveals specificity in secondary metabolic regulation.

Xiaozeng Mi, Chun Yang, Dahe Qiao, Mengsha Tang, Yan Guo, Sihui Liang, Yan Li, Zhengwu Chen, Juan Chen

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
4.1field-weighted citation impact, top 6% 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

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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

6 citing papers in PubMed, 16 citations in OpenAlex.

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  4. Evolution of the biochemistry underpinning purine alkaloid metabolism in plants.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024
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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

9 authors at 2 institutions in 1 country.

Xiaozeng Mi *Tea Research Institute, Guizhou Academy of Agricultural Sciences, 1 Jin'nong Road, Guiyang, 550006, Guizhou, China.
Chun Yang *Tea Research Institute, Guizhou Academy of Agricultural Sciences, 1 Jin'nong Road, Guiyang, 550006, Guizhou, China.
Dahe QiaoTea Research Institute, Guizhou Academy of Agricultural Sciences, 1 Jin'nong Road, Guiyang, 550006, Guizhou, China.
Mengsha TangTea Research Institute, Guizhou Academy of Agricultural Sciences, 1 Jin'nong Road, Guiyang, 550006, Guizhou, China.
Yan GuoTea Research Institute, Guizhou Academy of Agricultural Sciences, 1 Jin'nong Road, Guiyang, 550006, Guizhou, China.
Sihui LiangTea Research Institute, Guizhou Academy of Agricultural Sciences, 1 Jin'nong Road, Guiyang, 550006, Guizhou, China.
Yan LiTea Research Institute, Guizhou Academy of Agricultural Sciences, 1 Jin'nong Road, Guiyang, 550006, Guizhou, China.
Zhengwu ChenTea Research Institute, Guizhou Academy of Agricultural Sciences, 1 Jin'nong Road, Guiyang, 550006, Guizhou, China.
Juan ChenTea Research Institute, Guizhou Academy of Agricultural Sciences, 1 Jin'nong Road, Guiyang, 550006, Guizhou, China. chenjuan309@163.com.
Guizhou Academy of Agricultural Sciences · CNTea Research Institute · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tea plants are crops with economic, health and cultural value. Catechin, caffeine and theanine are the main secondary metabolites of taste. In the process of germplasm collection, we found a resource in the Sandu Aquatic Autonomous County of Guizhou (SDT) that possessed significantly different characteristic metabolites compared with the cultivar 'Qiancha 1'. SDT is rich in theobromine and theophylline, possesses low levels of (-)-epicatechin-3-gallate, (-)-epigallocatechin-3-gallate, and theanine content, and is almost free of caffeine. However, research on this tea resource is limited. Full-length transcriptome analysis was performed to investigate the transcriptome and gene expression of these metabolites. In total, 78,809 unique transcripts were obtained, of which 65,263 were complete coding sequences. RNA-seq revealed 3415 differentially expressed transcripts in the tender leaves of 'Qiancha 1' and 'SDT'. Furthermore, 2665, 6231, and 2687 differentially expressed transcripts were found in different SDT tissues. These differentially expressed transcripts were enriched in flavonoid and amino acid metabolism processes. Co-expression network analysis identified five modules associated with metabolites and found that genes of caffeine synthase (TCS) may be responsible for the low caffeine content in SDT. Phenylalanine ammonia lyase (PAL), glutamine synthetase (GS), glutamate synthase (GOGAT), and arginine decarboxylase (ADC) play important roles in the synthesis of catechin and theanine. In addition, we identified that ethylene resposive factor (ERF) and WRKY transcription factors may be involved in theanine biosynthesis. Overall, our study provides candidate genes to improve understanding of the synthesis mechanisms of these metabolites and provides a basis for molecular breeding of tea plant.

Indexed as

Camellia sinensisCatechinCaffeineGene Expression ProfilingGene Expression Regulation, PlantPlant LeavesPlant ProteinsTeaTranscriptomeCaffeineCatechinPlant ProteinsTea

Identifiers

PMID37045909
PMCPMC10097665
OpenAlexW4365139983

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