Evidence map›Paper›PMID 42351240›Full record

ArticleBiotechnology for biofuels and bioproducts2026

Deciphering the genetic background of an industrial 2-ketogluconic acid-producing strain Pseudomonas plecoglossicida JUIM01 using whole-genome sequencing.

Lulu Li, Lei Sun, Xinyi Zan, Fengjie Cui, Mei Zhao, Wenjing Sun

Abstract read
In one paragraph

Article in Biotechnology for biofuels and bioproducts, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Lulu LiSchool of Food and Biological Engineering, Jiangsu University, Zhenjiang, 212013, China.
Lei SunSchool of Food and Biological Engineering, Jiangsu University, Zhenjiang, 212013, China. sunlei@ujs.edu.cn.
Xinyi ZanSchool of Food and Biological Engineering, Jiangsu University, Zhenjiang, 212013, China.
Fengjie CuiSchool of Food and Biological Engineering, Jiangsu University, Zhenjiang, 212013, China.
Mei ZhaoSchool of Food and Biological Engineering, Jiangsu University, Zhenjiang, 212013, China.
Wenjing SunSchool of Food and Biological Engineering, Jiangsu University, Zhenjiang, 212013, China. juswj@163.com.

Funding

National Natural Science Foundation of China 32272286, 32201995Natural Science Foundation of Jiangsu Province BK20220526
6 · The paper itself

Abstract

2-Ketogluconic acid (2KGA) is an important precursor for the food antioxidant erythorbic acid, currently produced via microbial fermentation using Pseudomonas species. To facilitate the genetic improvement of production strains, the complete genome of an industrial 2KGA producer P. plecoglossicida JUIM01 was sequenced and analyzed. The genome consists of a 5.13-Mb circular chromosome with a GC content of 63.58%, encoding 4,517 predicted proteins. Comprehensive functional annotation identified a putative global regulatory network comprising 75 core regulators, which were classified into six functionally cooperative modules, potentially governing the strain's metabolism and environmental adaptability. We further delineated the genetic determinants hypothetically linked to efficient 2KGA synthesis, including glucose metabolism, fatty acid metabolism, and the oxidative phosphorylation system. These outputs could provide the genomic resource for elucidating high productivity and robustness, and rationally engineering the high-performance chassis cells toward robust 2KGA production.

Indexed as

2-Ketogluconic acid (2KGA)Genetic backgroundKey pathwayP. plecoglossicidaWhole-genome sequencing

Identifiers

PMID42351240
PMCPMC13556079

What OpenQuestion holds

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Registered trials

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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.