Evidence map›Paper›PMID 40536140›Full record

ArticleMicrobial biotechnology2025

Reduced Genetic Heterogeneity for Stable Bioproduction by Harnessing the Bias and Mechanism of Mutation.

Yanting Cao, Yaokang Wu, Xueqin Lv, Jianghua Li, Long Liu, Guocheng Du, Jian Chen, Yanfeng Liu

Abstract read
In one paragraph

Article in Microbial biotechnology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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.

Yanting CaoKey Laboratory of Carbohydrate Chemistry and Biotechnology, Ministry of Education, School of Biotechnology, Jiangnan University, Wuxi, China.
Yaokang WuKey Laboratory of Carbohydrate Chemistry and Biotechnology, Ministry of Education, School of Biotechnology, Jiangnan University, Wuxi, China.
Xueqin LvKey Laboratory of Carbohydrate Chemistry and Biotechnology, Ministry of Education, School of Biotechnology, Jiangnan University, Wuxi, China.
Jianghua LiScience Center for Future Foods, Jiangnan University, Wuxi, China.
Long LiuKey Laboratory of Carbohydrate Chemistry and Biotechnology, Ministry of Education, School of Biotechnology, Jiangnan University, Wuxi, China.
Guocheng DuKey Laboratory of Carbohydrate Chemistry and Biotechnology, Ministry of Education, School of Biotechnology, Jiangnan University, Wuxi, China.
Jian ChenScience Center for Future Foods, Jiangnan University, Wuxi, China.
Yanfeng LiuKey Laboratory of Carbohydrate Chemistry and Biotechnology, Ministry of Education, School of Biotechnology, Jiangnan University, Wuxi, China.ORCID https://orcid.org/0000-0002-0562-9647

Funding

Fundamental Research Funds for the Central Universities JUSRP124034Scientific Research Innovation Capability Support Project for Young Faculty ZYGXQNJSKYCXNLZCXM-A6the Foundation for Innovative Research Groups of the National Natural Science Foundation of China 32021005the National Natural Science Foundation of China 32172349the Natural Science Foundation of Jiangsu Province BK20202002the Natural Science Fund for Excellent Young Scholars 32222069
6 · The paper itself

Abstract

Microbial bioproduction is an important approach to realising green biomanufacturing. However, poor bioproduction stability caused by genetic heterogeneity is one of the important factors limiting its industrial-scale applications. Here, two methods have been developed to reduce genetic heterogeneity in Bacillus subtilis. SiteMuB (the site-dependent mutation bias) was proposed to enable stable genome integration expression by analysing the spontaneous mutation rate of the same DNA sequences integrated at different genome sites. Additionally, robustly growing chassis with low mutation rates (ChassisLMR) were developed by deleting unstable elements and enhancing DNA repair. These methods were then employed to improve the production stability of small molecule metabolites and proteins. In N-acetylneuraminic acid production, after 76 generations of cell division, corresponding to the number of cell generations required for > 200-m

Indexed as

Bacillus subtilisGenetic HeterogeneityMetabolic EngineeringMutationMutation RateDNA repairgenetic heterogeneitylow mutation ratesmutation biasstable bioproductionunstable elements

Identifiers

PMID40536140
PMCPMC12177666

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.