Evidence map›Paper›PMID 32911493›Full record

ArticlePloS one2020

Time-series transcriptomic analysis reveals novel gene modules that control theanine biosynthesis in tea plant (Camellia sinensis).

Haisheng Cao, Xiaolong He, Jinke Du, Rui Zhang, Ying Chen, Yong Ma, Qi Chen, Congbing Fang, Chi-Tang Ho, Shihua Zhang and 1 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 42% 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

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. Review
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 2 countries.

Haisheng CaoState Key Laboratory of Tea Plant Biology and Utilization, Anhui Agricultural University, Hefei, China.
Xiaolong HeSchool of Sciences, Anhui Agricultural University, Hefei, China.
Jinke DuState Key Laboratory of Tea Plant Biology and Utilization, Anhui Agricultural University, Hefei, China.
Rui ZhangCollege of Information and Computer Science, Anhui Agricultural University, Hefei, China.
Ying ChenState Key Laboratory of Tea Plant Biology and Utilization, Anhui Agricultural University, Hefei, China.
Yong MaCollege of Information and Computer Science, Anhui Agricultural University, Hefei, China.
Qi ChenState Key Laboratory of Tea Plant Biology and Utilization, Anhui Agricultural University, Hefei, China.
Congbing FangState Key Laboratory of Tea Plant Biology and Utilization, Anhui Agricultural University, Hefei, China.
Chi-Tang HoDepartment of Food Science, Rutgers University, New Brunswick, New Jersey, United States of America.
Shihua ZhangCollege of Life Science and Health, Wuhan University of Science and Technology, Wuhan, China.ORCID 0000-0002-3877-9166
Xiaochun WanState Key Laboratory of Tea Plant Biology and Utilization, Anhui Agricultural University, Hefei, China.
Anhui Agricultural University · CNRutgers, The State University of New Jersey · USWuhan University of Science and Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Theanine (thea) is a unique non-protein amino acid in tea plant (Camellia sinensis) and one of the most important small molecular compounds for tea quality and health effects. The molecular mechanism that maintains thea biosynthesis is not clear but may be reflected in complicated biological networks as other secondary metabolites in plants. We performed an integrative transcriptomic analysis of tea seedlings bud and leave over the time-course of ethylamine (EA) treatment that activated thea pathway. We identified 54 consistent differentially expressed genes (cDEGs, 25 upregulated and 29 downregulated) during thea activation. Gene Ontology (GO) functional enrichment analysis of upregulated genes and downregulated genes showed that they may function as a cascade of biological events during their cooperative contribution to thea biosynthesis. Among the total cDEGs, a diversity of functional genes (e.g., enzymes, transcription factors, transport and binding proteins) were identified, indicating a hierarchy of gene control network underlying thea biosynthesis. A gene network associated with thea biosynthesis was modeled and three interconnected gene functional modules were identified. Among the gene modules, several topologically important genes (e.g., CsBCS-1, CsRP, CsABC2) were experimentally validated using a combined thea content and gene expression analysis. Collectively, we presented here for the first time a comprehensive landscape of the biosynthetic mechanism of thea controlled by a underling gene network, which might provide a theoretical basis for the identification of key genes that contribute to thea biosynthesis.

Indexed as

Gene Expression ProfilingCamellia sinensisGene OntologyGene Regulatory NetworksGenes, PlantGlutamatesTime FactorsGlutamatestheanine

Identifiers

PMID32911493
PMCPMC7482930
OpenAlexW3085551196

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.