Evidence map›Paper›PMID 40630188›Full record

ReviewFrontiers in microbiology2025

Molecular mechanisms and applications of natural transformation in bacteria.

Changcheng Niu, Hao Wu, Xiaona Wang, Liying Hu, Yanping Han, Jianjun Qiao

Abstract readReview
In one paragraph

Review in Frontiers in microbiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. 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.

Changcheng Niu *School of Chemical Engineering and Technology, Tianjin University, Tianjin, China.
Hao Wu *Precision Nutrition and Health Research and Development Center, Zhejiang Research Institute of Tianjin University (Shaoxing), Shaoxing, China.
Xiaona WangPrecision Nutrition and Health Research and Development Center, Zhejiang Research Institute of Tianjin University (Shaoxing), Shaoxing, China.
Liying HuSchool of Chemical Engineering and Technology, Tianjin University, Tianjin, China.
Yanping HanSchool of Chemical Engineering and Technology, Tianjin University, Tianjin, China.
Jianjun QiaoSchool of Chemical Engineering and Technology, Tianjin University, Tianjin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Natural transformation is a process in which bacteria uptake exogenous DNA from the environment during a transient physiological state called competence. The DNA can either autonomously replicate or integrate into the bacterial chromosome through homologous recombination. Natural transformation has been studied for nearly a century. Recently, the rapid development of synthetic biology has led to the widespread use of natural transformation as a gene-editing tool for modifying industrial strains. A better understanding of the basic principles of natural transformation can enhance its biotechnological applications. This article provides a detailed overview of the natural transformation process, from initiation to completion. It focuses on the molecular mechanisms involved in natural transformation in both Gram-positive and Gram-negative bacteria. The article also analyzes factors that influence the activation of natural transformation, detailing the regulatory processes and signaling pathways involved. It further explores the potential biological functions of natural transformation. Finally, it discusses various applications of natural transformation in gene editing, offering insights into its potential for modifying industrial strains.

Indexed as

activationapplicationbiological functionscompetencemolecular mechanismsnatural transformation

Identifiers

PMID40630188
PMCPMC12236230

What OpenQuestion holds

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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.