Evidence map›Paper›PMID 36912090›Full record

ArticleNucleic acids research2023

Cell-to-cell natural transformation in Bacillus subtilis facilitates large scale of genomic exchanges and the transfer of long continuous DNA regions.

Liping Deng, Chao Wang, Xiaoming Zhang, Wenjie Yang, Hao Tang, Xinru Chen, Shishen Du, Xiangdong Chen

Open access · goldAbstract read
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Article in Nucleic acids research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.7field-weighted citation impact, top 16% of its field
1 · What the graph read from it

What it found

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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

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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

6 citing papers in PubMed, 11 citations in OpenAlex.

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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 at 1 institution in 1 country.

Liping DengState Key Laboratory of Virology, College of Life Sciences, Wuhan University, Wuhan 430072, China.
Chao WangState Key Laboratory of Virology, College of Life Sciences, Wuhan University, Wuhan 430072, China.
Xiaoming ZhangState Key Laboratory of Virology, College of Life Sciences, Wuhan University, Wuhan 430072, China.
Wenjie YangState Key Laboratory of Virology, College of Life Sciences, Wuhan University, Wuhan 430072, China.
Hao TangState Key Laboratory of Virology, College of Life Sciences, Wuhan University, Wuhan 430072, China.
Xinru ChenState Key Laboratory of Virology, College of Life Sciences, Wuhan University, Wuhan 430072, China.
Shishen DuState Key Laboratory of Virology, College of Life Sciences, Wuhan University, Wuhan 430072, China.ORCID 0000-0002-9809-8653
Xiangdong ChenState Key Laboratory of Virology, College of Life Sciences, Wuhan University, Wuhan 430072, China.
Wuhan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Natural transformation is one of the major mechanisms of horizontal gene transfer. Although it is usually studied using purified DNA in the laboratory, recent studies showed that many naturally competent bacteria acquired exogenous DNA from neighboring donor cells. Our previous work indicates that cell-to-cell natural transformation (CTCNT) using two different Bacillus subtilis strains is a highly efficient process; however, the mechanism is unclear. In this study, we further characterized CTCNT and mapped the transferred DNA in the recombinants using whole genome sequencing. We found that a recombinant strain generated by CTCNT received up to 66 transferred DNA segments; the average length of acquired continuous DNA stretches was approximately 27 kb with a maximum length of 347 kb. Moreover, up to 1.54 Mb genomic DNA (37% of the chromosome) was transferred from the donors into one recipient cell. These results suggest that B. subtilis CTCNT facilitates horizontal gene transfer by increasing the transfer of DNA segments and fostering the exchange of large continuous genomic regions. This indicates that the potency of bacterial natural transformation is underestimated using traditional approaches and reveals that DNA donor cells may play an important role in the transformation process in natural environments.

Indexed as

Bacillus subtilisTransformation, BacterialDNADNA, BacterialGenomeGenomicsDNADNA, Bacterial

Identifiers

PMID36912090
PMCPMC10164588
OpenAlexW4324018637

What OpenQuestion holds

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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.