ReviewEssays in biochemistry2026
Transposon mutagenesis in bacterial natural product discovery.
Review in Essays in biochemistry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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.
Who cites it
1 citing paper in PubMed.
- Bacterial biosynthetic gene clusters.Essays in biochemistry · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
Transposon mutagenesis has re-emerged as a powerful and versatile strategy for discovering and characterising specialised metabolites encoded by biosynthetic gene clusters (BGCs). While genomics has revealed an enormous diversity of putative BGCs across bacteria, many remain silent, weakly expressed, or genetically intractable, necessitating experimental tools that can link genotype to chemical output. Transposons provide an unbiased and broadly applicable platform for disrupting, activating, or modulating gene expression without relying on homologous recombination, making them particularly valuable in challenging microbial hosts. Here, we review the major applications of transposon mutagenesis in natural product discovery, providing examples that highlight discoveries made using phenotype- and bioactivity-guided screens, phenotype-independent strategies, and transposon-based engineering of heterologous expression platforms. Transposon technologies provide flexible and scalable tools for activating, characterising, and engineering microbial BGCs. As genome mining continues to unearth rich seams of unexplored metabolic potential, these tools will remain essential for converting genetic predictions into chemical discovery.
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Registered trials
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.