Evidence map›Paper›PMID 28545064›Full record

ArticlePloS one2017

Transcriptomic analysis of the response of Pseudomonas fluorescens to epigallocatechin gallate by RNA-seq.

Xiaoxiang Liu, Bimiao Shen, Peng Du, Nan Wang, Jiaxue Wang, Jianrong Li, Aihua Sun

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
2.4field-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

17 citing papers in PubMed, 51 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Dynamic Adaptive Response ofAntibiotics (Basel, Switzerland) · 2021
    Article
  10. Review
  11. Transcriptomic Analysis ofFoods (Basel, Switzerland) · 2021
    Article
  12. Article
  13. Antimicrobial Activity of, and Cellular Pathways Targeted by,Applied and environmental microbiology · 2020
    Article
  14. Article
  15. Article
  16. Article
  17. Inhibition of Virulence-Related Traits inFrontiers in microbiology · 2019
    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

7 authors at 3 institutions in 1 country.

Xiaoxiang LiuFaculty of Basic Medicine, Hangzhou Medical College, Hangzhou, Zhejiang, P.R. China.
Bimiao ShenDepartment of Laboratory Medicine, Hangzhou Medical College, Hangzhou, Zhejiang, P.R. China.
Peng DuFaculty of Basic Medicine, Hangzhou Medical College, Hangzhou, Zhejiang, P.R. China.
Nan WangCollege of Biology and Environmental Engineering, Zhejiang Shuren University, Hangzhou, P.R. China.
Jiaxue WangDepartment of Laboratory Medicine, Hangzhou Medical College, Hangzhou, Zhejiang, P.R. China.
Jianrong LiFood Safety Key Lab of Liaoning Province, Bohai University, Jinzhou, Liaoning, China.
Aihua SunFaculty of Basic Medicine, Hangzhou Medical College, Hangzhou, Zhejiang, P.R. China.ORCID http://orcid.org/0000-0001-5008-5151
Hangzhou Medical College · CNBohai University · CNZhejiang Shuren University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Epigallocatechin gallate (EGCG) is a main constituent of green tea polyphenols that are widely used as food preservatives and are considered to be safe for consumption. However, the underlying antimicrobial mechanism of EGCG and the bacterial response to EGCG are not clearly understood. In the present study, a genome-wide transcriptional analysis of a typical spoilage bacterium, Pseudomonas fluorescens that responded to EGCG was performed using RNA-seq technology. A total of 26,365,414 and 23,287,092 clean reads were generated from P. fluorescens treated with or without 1 mM EGCG and the clean reads were aligned to the reference genome. Differential expression analysis revealed 291 upregulated genes and 134 downregulated genes and the differentially expressed genes (DEGs) were verified using RT-qPCR. Most of the DGEs involved in iron uptake, antioxidation, DNA repair, efflux system, cell envelope and cell-surface component synthesis were significantly upregulated by EGCG treatment, while most genes associated with energy production were downregulated. These transcriptomic changes are likely to be adaptive responses of P. fluorescens to iron limitation and oxidative stress, as well as DNA and envelope damage caused by EGCG. The expression of specific genes encoding the extra-cytoplasmic function sigma factor (PvdS, RpoE and AlgU) and the two-component sensor histidine kinase (BaeS and RpfG) were markedly changed by EGCG treatment, which may play important roles in regulating the stress responses of P. fluorescens to EGCG. The present data provides important insights into the molecular action of EGCG and the possible cross-resistance mediated by EGCG on P. fluorescens, which may ultimately contribute to the optimal application of green tea polyphenols in food preservation.

Indexed as

Bacterial ProteinsCatechinGene Expression ProfilingGene Expression Regulation, BacterialGene Regulatory NetworksIronOxidative StressPseudomonas fluorescensSequence Analysis, RNATeaBacterial ProteinsCatechinepigallocatechin gallateIronTea

Identifiers

PMID28545064
PMCPMC5435343
OpenAlexW2614680621

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.