Evidence map›Paper›PMID 39438821›Full record

ArticleBMC genomics2024

Metabolite profiling and transcriptome analyses reveal defense regulatory network against pink tea mite invasion in tea plant.

Limin Chen, Zaifa Shu, Dayun Zhou, Huijuan Zhou, Jinchao Wang, Yaqi Feng, Shenghong Zheng, Weizhong He

Abstract read
In one paragraph

Article in BMC genomics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Identification and Transcriptome Resource of the MiteCurrent issues in molecular biology · 2026
    Article
  4. Article
  5. Cultivar-specific volatile profiles inFrontiers in plant science · 2025
    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

8 authors.

Limin Chen *Lishui Institute of Agricultural and Forestry Sciences, Lishui, 323000, Zhejiang, China.
Zaifa Shu *Lishui Institute of Agricultural and Forestry Sciences, Lishui, 323000, Zhejiang, China.
Dayun ZhouLishui Institute of Agricultural and Forestry Sciences, Lishui, 323000, Zhejiang, China.
Huijuan ZhouLishui Institute of Agricultural and Forestry Sciences, Lishui, 323000, Zhejiang, China.
Jinchao WangCollege of Ecology, Lishui University, Lishui, 323000, Zhejiang, China.
Yaqi FengLishui Institute of Agricultural and Forestry Sciences, Lishui, 323000, Zhejiang, China.
Shenghong ZhengLishui Institute of Agricultural and Forestry Sciences, Lishui, 323000, Zhejiang, China.
Weizhong HeLishui Institute of Agricultural and Forestry Sciences, Lishui, 323000, Zhejiang, China. jnhwz@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe tea plant Camellia sinensis (L.) O. Kuntze is a perennial crop, invaded by diversity of insect pest species, and pink tea mite is one of the most devastating pests for sustainable tea production. However, molecular mechanism of defense responses against pink tea mites in tea is still unknown. In this study, metabolomics and transcriptome profiles of susceptible and resistant tea varieties were compared before and after pink tea mite infestation.

resultsMetabolomics analysis revealed that abundance levels of polyphenol-related compounds changed significantly before and after infestation. At the transcript level, nearly 8 GB of clean reads were obtained from each sequenced library, and a comparison of infested plants of resistant and susceptible tea varieties revealed 9402 genes with significant differential expression. An array of genes enriched in plant pathogen interaction and biosynthetic pathways of phenylpropanoids showed significant differential regulation in response to pink tea mite invasion. In particular, the functional network linkage of disease resistant proteins, phenylalanine ammonia lyase, flavanone -3-hydroxylase, hydroxycinnamoyl-CoA shikimate transferase, brassinosteroid-6-oxidase 1, and gibberellin 2 beta-dioxygenase induced dynamic defense signals to suppress prolonged pink tea mite attacks. Further integrated analyses identified a complex network of transcripts and metabolites interlinked with precursors of various flavonoids that are likely modulate resistance against to pink tea mite.

conclusionsOur results characterized the profiles of insect induced metabolic and transcript reprogramming and identified a defense regulatory network that can potentially be used to fend off pink tea mites damage.

Indexed as

Camellia sinensisGene Expression ProfilingMitesPlant DiseasesAnimalsDisease ResistanceGene Expression Regulation, PlantGene Regulatory NetworksMetabolomeMetabolomicsTranscriptomeDifferential genesFlavonoidsPink tea miteResistanceTea production

Identifiers

PMID39438821
PMCPMC11520189

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