Evidence map›Paper›PMID 36916911›Full record

ArticleApplied and environmental microbiology2023

Characterization of the Positive Transcription Regulator PfaR for Improving Eicosapentaenoic Acid Production in Shewanella putrefaciens W3-18-1.

Hehong Wei, Penghui He, Dianzhen Yu, Shuangyuan Liu, Chengtao Li, Dongru Qiu

Open access · greenAbstract read
In one paragraph

Article in Applied and environmental microbiology, 2023. 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 38% 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, 2 citations in OpenAlex.

  1. Efficient genetic manipulation ofApplied and environmental microbiology · 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

6 authors at 6 institutions in 1 country.

Hehong WeiCollege of Energy and Environmental Engineering, Hebei University of Engineering, Handan, China.
Penghui HeState Key Laboratory of Biocatalysis and Enzyme Engineering, Environmental Microbial Technology Center of Hubei Province, College of Life Sciences, Hubei University, Wuhan, China.
Dianzhen YuSIBS-UGENT-SJTU Joint Laboratory of Mycotoxin Research, CAS Key Laboratory of Nutrition, Metabolism and Food Safety, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, China.
Shuangyuan LiuEco-Environmental Monitoring and Research Center, Pearl River Valley and South China Sea Ecology and Environment Administration, Ministry of Ecology and Environment, Guangzhou, China.
Chengtao LiCollege of Environmental Science and Engineering, Shaanxi University of Science & Technology, Xi'an, China.
Dongru QiuInstitute of Hydrobiology, Chinese Academy of Sciences, Wuhan, China.ORCID 0000-0001-5344-6493
Chinese Academy of Sciences · CNHebei University of Engineering · CNHubei University · CNMinistry of Ecology and Environment · CNShaanxi University of Science and Technology · CNShanghai Institute of Nutrition and Health · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The biosynthetic pathway of eicosapentaenoic acid (EPA) has previously been reported in marine bacteria, while the regulatory mechanism remains poorly understood. In this study, a putative transcriptional regulator PfaR encoded adjacent to the PFA biosynthesis gene cluster (

Indexed as

ShewanellaShewanella putrefaciensBacteriaBiosynthetic PathwaysEicosapentaenoic AcidSequence DeletionEicosapentaenoic AcidEPA synthesisputative transcription regulator PfaRShewanella putrefaciens W3-18-1

Identifiers

PMID36916911
PMCPMC10132093
OpenAlexW4324128939

What OpenQuestion holds

Textmetadata
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.