Evidence map›Paper›PMID 42651764›Full record

ArticleCurrent issues in molecular biology2026

The Effect of ARTP Mutation on the Degradation Capacity of

Pengji Zhou, Xingyu Liu, Bingqi Li, Lili Yang, Xianya Wu, Xizi Long, Fei Yang

Abstract read
In one paragraph

Article in Current issues in molecular biology, 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

7 authors.

Pengji ZhouHunan Province Key Laboratory of Typical Environmental Pollution and Health Hazards, School of Public Health, Hengyang Medical School, University of South China, Hengyang 421001, China.
Xingyu LiuHunan Province Key Laboratory of Typical Environmental Pollution and Health Hazards, School of Public Health, Hengyang Medical School, University of South China, Hengyang 421001, China.
Bingqi LiHunan Province Key Laboratory of Typical Environmental Pollution and Health Hazards, School of Public Health, Hengyang Medical School, University of South China, Hengyang 421001, China.
Lili YangHunan Province Key Laboratory of Typical Environmental Pollution and Health Hazards, School of Public Health, Hengyang Medical School, University of South China, Hengyang 421001, China.
Xianya WuHunan Province Key Laboratory of Typical Environmental Pollution and Health Hazards, School of Public Health, Hengyang Medical School, University of South China, Hengyang 421001, China.
Xizi LongHunan Province Key Laboratory of Typical Environmental Pollution and Health Hazards, School of Public Health, Hengyang Medical School, University of South China, Hengyang 421001, China.ORCID 0000-0002-0502-5675
Fei YangHunan Province Key Laboratory of Typical Environmental Pollution and Health Hazards, School of Public Health, Hengyang Medical School, University of South China, Hengyang 421001, China.ORCID 0000-0001-5687-0556

Funding

the Hunan Province Key Research and Development Projects 2022SK2089the Hunan Provincial Department of Education Outstanding Youth Project 23B0434the Hunan Provincial Natural Science Foundation 2024JJ4035
6 · The paper itself

Abstract

To address the issues of low degradation efficiency in anaerobic bacteria targeting microcystin-LR (MC-LR) and the limitations of traditional genetic modification methods, this study applied ARTP mutagenesis technology for the first time to genetically engineer anaerobic MC-LR-degrading bacteria using the

Indexed as

anaerobic degradationARTP mutagenesisCitrobacter sp.microcystin

Identifiers

PMID42651764
PMCPMC13511643

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.