Evidence map›Paper›PMID 41943449›Full record

ArticleMolecular plant pathology2026

The MarR Family Transcriptional Regulator EmrR Negatively Regulates the Type III Secretion System (T3SS) and Positively Modulates Pathogenicity in Dickeya oryzae.

Mingfa Lv, Wenqi Huang, Ziwei Meng, Xiaojing Fan, Peng Li, Zeling Xu, Shaohua Chen, Xiaoyuan Chen, Jianuan Zhou, Lianhui Zhang and 3 more

Abstract read
In one paragraph

Article in Molecular plant pathology, 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
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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

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

13 authors.

Mingfa LvCollege of Plant Protection, Fujian Agriculture and Forestry University, Fuzhou, Fujian, China.ORCID 0000-0003-4902-3716
Wenqi HuangCollege of Plant Protection, Fujian Agriculture and Forestry University, Fuzhou, Fujian, China.
Ziwei MengCollege of Plant Protection, Fujian Agriculture and Forestry University, Fuzhou, Fujian, China.
Xiaojing FanCollege of Plant Protection, Fujian Agriculture and Forestry University, Fuzhou, Fujian, China.
Peng LiMinistry of Education Key Laboratory for Ecology of Tropical Islands, Hainan Provincial Key Laboratory for Tropical Plant and Animal Ecology, College of Life Sciences, Hainan Normal University, Haikou, China.ORCID 0000-0002-1906-8393
Zeling XuIntegrative Microbiology Research Centre, Guangdong Provincial Key Laboratory of Microbial Signals and Disease Control, South China Agricultural University, Guangzhou, China.ORCID 0000-0003-4662-8111
Shaohua ChenIntegrative Microbiology Research Centre, Guangdong Provincial Key Laboratory of Microbial Signals and Disease Control, South China Agricultural University, Guangzhou, China.ORCID 0000-0001-8306-2626
Xiaoyuan ChenGuangdong Provincial Key Laboratory of Utilization and Conservation of Food and Medicinal Resources in Northern Region, Shaoguan University, Shaoguan, China.
Jianuan ZhouIntegrative Microbiology Research Centre, Guangdong Provincial Key Laboratory of Microbial Signals and Disease Control, South China Agricultural University, Guangzhou, China.ORCID 0000-0001-9774-330X
Lianhui ZhangIntegrative Microbiology Research Centre, Guangdong Provincial Key Laboratory of Microbial Signals and Disease Control, South China Agricultural University, Guangzhou, China.
Yingying ChengShenzhen Key Laboratory of Forensics, BGI Forensic, Shenzhen, China.
Tao ZhuoCollege of Plant Protection, Fujian Agriculture and Forestry University, Fuzhou, Fujian, China.
Ming HuIntegrative Microbiology Research Centre, Guangdong Provincial Key Laboratory of Microbial Signals and Disease Control, South China Agricultural University, Guangzhou, China.ORCID 0000-0002-1233-6762

Funding

Fujian Agriculture and Forestry University Science and Technology Innovation Special Foundation KFb22015XANational Natural Science Foundation of China 32400145National Natural Science Foundation of China 32570212National Natural Science Foundation of China U22A20480Open fund of the Guangdong Provincial Key Laboratory of Utilization and Conservation of Food and Medicinal Resources in Northern Region FMR2025004MScience Foundation of Fujian Provincial Science & Technology Department 2022J01128Science Foundation of Fujian Provincial Science & Technology Department 2023J01440
6 · The paper itself

Abstract

The pathogen Dickeya oryzae is responsible for soft rot disease in both monocotyledonous and dicotyledonous plants, resulting in substantial yield losses across a variety of important crops. However, the molecular mechanisms and signalling pathways that regulate bacterial virulence remain poorly understood. In this study, we identified a conserved transcriptional regulator, EmrR (multidrug efflux transporter EmrAB transcriptional repressor), in Dickeya species that plays a critical role in controlling cellular motility. Phenotypic analysis demonstrated that EmrR is also involved in the regulation of cellulase, as well as biofilm formation. emrRdeletion mutants displayed markedly decreased virulence in rice seed germination and potato tubes. Further investigation revealed that EmrR negatively regulates the expression of genes encoding the type III secretion system by decreasing the intracellular concentration of c-di-GMP (bis-(3'-5')-cyclic dimeric guanosine monophosphate) and also modulates the key regulatory gene hrpL within this system. DNase I footprinting confirmed that EmrR binds specifically to a sequence (5'-CATTCGTTACTATGCAGGTTG-3') in the emrR promoter region. This finding highlights EmrR as a conserved and essential regulator of virulence in Dickeya, providing novel insights into the complex signalling and regulatory networks that regulate physiological processes, biochemical mechanisms and virulence development in this pathogen.

Indexed as

Bacterial ProteinsDickeyaTranscription FactorsBiofilmsCyclic GMPGene Expression Regulation, BacterialMutationOryzaPlant DiseasesPromoter Regions, GeneticProtein BindingSolanum tuberosumVirulenceBacterial Proteinsbis(3',5')-cyclic diguanylic acidCyclic GMPTranscription Factorsbiofilmc‐di‐GMPDickeya oryzaemotilitypathogenicitytype III secretion system

Identifiers

PMID41943449
PMCPMC13053672

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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.