Evidence map›Paper›PMID 42244906›Full record

ReviewSynthetic and systems biotechnology2026

Transposon-based genome editing of industrial microorganisms: advances, challenges, and prospects.

Zhiyi Zhang, Zheng Huang, Yilin Wang, Zheng Li, Zhiqiang Wen, Yang Gu

Abstract readReview
In one paragraph

Review in Synthetic and systems biotechnology, 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.

Zhiyi ZhangSchool of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai, 200093, China.
Zheng HuangSchool of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai, 200093, China.
Yilin WangSchool of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai, 200093, China.
Zheng LiSchool of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai, 200093, China.
Zhiqiang WenNanjing Gasgene Biochemical Technology Co. Ltd., Nanjing, 210032, China.
Yang GuSchool of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai, 200093, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As mobile genetic elements, transposons play a crucial role in the adaptive evolution and genome engineering of industrial microorganisms. Their applications range from high-throughput functional genomics, enabling systematic genotype-phenotype mapping via transposon sequencing, to the construction of random integration libraries for chassis development and directed evolution. Despite the emergence of precise editing tools such as CRISPR-Cas, transposon technology remains indispensable in non-model industrial strains owing to its operational simplicity and high efficiency. Recent discoveries of novel transposon systems, along with their functional enhancement, have further expanded their utility. Looking ahead, integrating transposon technology with strategies such as AI-assisted design and CRISPR-Cas-based systems will greatly advance our ability to decipher and engineer industrial microbial cell factories. This review summarizes the principles, challenges, and opportunities of transposon-associated technologies in industrial microorganisms, offering new insights into their roles in industrial biotechnology.

Indexed as

Functional genomicsIndustrial microorganismsRandom integrationTransposonTransposon sequencing

Identifiers

PMID42244906
PMCPMC13231010

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.