Evidence map›Paper›PMID 42069813›Full record

ArticleScientific reports2026

Development of a bioassay-guided genome mining approach for antifungal natural product discovery from pseudomonads.

George Lund, Susan Mosquito, David M Withall, John Caulfield, David Hughes, Ian M Clark, Jason Rudd, Tim H Mauchline

Abstract read
In one paragraph

Article in Scientific reports, 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
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0citing papers in PubMed
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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

8 authors.

George LundTranslating Biotic Interactions, Rothamsted Research, West Common, Harpenden, AL5 2JQ, Hertfordshire, UK. george.lund@rothamsted.ac.uk.
Susan MosquitoTranslating Biotic Interactions, Rothamsted Research, West Common, Harpenden, AL5 2JQ, Hertfordshire, UK.
David M WithallTranslating Biotic Interactions, Rothamsted Research, West Common, Harpenden, AL5 2JQ, Hertfordshire, UK.
John CaulfieldTranslating Biotic Interactions, Rothamsted Research, West Common, Harpenden, AL5 2JQ, Hertfordshire, UK.
David HughesTranslating Biotic Interactions, Rothamsted Research, West Common, Harpenden, AL5 2JQ, Hertfordshire, UK.
Ian M ClarkSoil Health and Management, Rothamsted Research, West Common, Harpenden, AL5 2JQ, Hertfordshire, UK.
Jason RuddTranslating Biotic Interactions, Rothamsted Research, West Common, Harpenden, AL5 2JQ, Hertfordshire, UK.
Tim H MauchlineTranslating Biotic Interactions, Rothamsted Research, West Common, Harpenden, AL5 2JQ, Hertfordshire, UK.

Funding

Biotechnology and Biological Sciences Research Council BB/M008770/1Biotechnology and Biological Sciences Research Council BB/X010953/1
6 · The paper itself

Abstract

Zymoseptoria tritici causes Septoria Leaf Blotch disease of wheat and has evolved to overcome most chemical and genetic control methods. As such, new tools are required for future disease control. We identified Pseudomonas isolates that antagonise Z. tritici through the production of secreted secondary metabolites, using a novel in vitro antagonism assay. Quantitative assessment identified variation in sensitivity of Z. tritici isolates to antagonism by Pseudomonas isolates. Genome assemblies of 3 strongly antagonistic Pseudomonas isolates contain a predicted Biosynthetic Gene Cluster (BGC) with high similarity to a reference BGC encoding the biosynthesis of known antifungal compound 2,4-diacetylphloroglucinol (2,4-DAPG). Mutagenesis of the core biosynthetic gene phlD resulted in loss of 2,4-DAPG production in Pseudomonas isolate Roth82, and loss of Z. tritici inhibition in vitro. These results demonstrate that our in vitro antagonism assay can be used to identify, quantify, and mechanistically characterise bacterial antagonism of Z. tritici through the production of secondary metabolites. This is the first study to putatively identify that resistance to bacterial antagonism exists as a quantitative trait within natural Z. tritici populations. Our approach of in vitro phenotype-guided genome mining can also prioritise candidate BGCs for discovery of antifungal natural products effective against Z. tritici.

Indexed as

Antifungal AgentsAscomycotaBiological AssayBiological ProductsPseudomonasData MiningGenome, BacterialMultigene FamilyPhloroglucinolPlant DiseasesTriticum2,4-diacetylphloroglucinolAntifungal AgentsBiological ProductsPhloroglucinolAntagonismBacterial-fungal interactionsBioassayPseudomonasSecondary metabolitesZymoseptoria tritici

Identifiers

PMID42069813
PMCPMC13197424

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Registered trials

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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.