Evidence map›Paper›PMID 42243307›Full record

ArticleScientific reports2026

Enzymatic quorum quenching alters the phyllosphere microbiome and suppresses a bacterial-induced plant disease.

Qian Zhang, Reed Jacobson, Matthew Nelson, Celine Bergonzi, Michael J Sadowsky, Mikael H Elias

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

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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

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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.

Qian ZhangBioTechnology Institute, University of Minnesota, Minneapolis, USA.
Reed JacobsonDepartment of Biochemistry, Molecular Biology and Biophysics, University of Minnesota, Minneapolis, USA.
Matthew NelsonBioTechnology Institute, University of Minnesota, Minneapolis, USA.
Celine BergonziBioTechnology Institute, University of Minnesota, Minneapolis, USA.
Michael J SadowskyBioTechnology Institute, University of Minnesota, Minneapolis, USA. sadowsky@umn.edu.
Mikael H EliasBioTechnology Institute, University of Minnesota, Minneapolis, USA. mhelias@umn.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bacterial plant pathogens cause hundreds of millions of dollars in annual crop losses in the United States alone, further stressing an already strained global food supply. Numerous bacteria in the phyllosphere use N-acyl homoserine lactone (AHL)-mediated quorum sensing (QS) systems to coordinate behaviors and shape microbial communities. Strategies that interfere with bacterial QS systems employ enzymes to degrade or transform AHLs in a process called quorum quenching (QQ). This interference results in altered microbial community structure and function. We previously isolated and engineered SsoPox, a highly stable AHL-degrading lactonase that interferes with QS. Here, we evaluated the effects of SsoPox-mediated QS disruption on the Zea mays phyllosphere in a Goss's wilt infection model caused by Clavibacter nebraskensis. In this proof-of-concept work, we found that infection significantly altered the composition and structure of the leaf microbial community. SsoPox QQ lactonase treatment substantially reduced this shift, resulting in a leaf surface community resembling the uninfected controls. qPCR experiments revealed a small, yet significant reduction of pathogen abundance on plant leaves following enzymatic treatment. As a result, the formulated QQ lactonase spray reduced disease severity. This study demonstrates the critical role of microbial signaling in the phyllosphere and highlights the potential of QQ lactonases to control plant diseases.

Indexed as

Carboxylic Ester HydrolasesClavibacterMicrobiotaPlant DiseasesPlant LeavesQuorum SensingZea maysAcyl-ButyrolactonesAcyl-ButyrolactonesCarboxylic Ester HydrolasesBiocontrolClavibacter nebraskensisCornGoss’s wiltLactonaseMaizeQuorum quenchingQuorum sensing

Identifiers

PMID42243307
PMCPMC13478632

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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.