ReviewFrontiers in plant science2013
Type III chaperones & Co in bacterial plant pathogens: a set of specialized bodyguards mediating effector delivery.
Review in Frontiers in plant science, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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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.
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Who cites it
15 citing papers in PubMed, 24 citations in OpenAlex.
- Coordination of quorum sensing with T3SS and T6SS: Bacterial strategies for combating fungal pathogens.Virulence · 2026Review
- Cyclic-di-GMP controls Type III effector export and symptom development in Pseudomonas syringae infections via the export ATPase HrcN.PLoS pathogens · 2025Article
- Genomic and mutational analysis of Pseudomonas syringae pv. tagetis EB037 pathogenicity on sunflower.BMC microbiology · 2025Article
- Comparative sequence analysis of pPATH pathogenicity plasmids inFrontiers in plant science · 2023Article
- Study of natural diversity in response to a key pathogenicity regulator of Ralstonia solanacearum reveals new susceptibility genes in Arabidopsis thaliana.Molecular plant pathology · 2022Article
- Identification and analysis of structurally critical fragments in HopS2.BMC bioinformatics · 2019Article
- Effector GeneJournal of bacteriology · 2018Article
- Genomic Inference of Recombination-Mediated Evolution in Xanthomonas euvesicatoria and X. perforans.Applied and environmental microbiology · 2018Article
- HpaB-Dependent Secretion of Type III Effectors in the Plant Pathogens Ralstonia solanacearum and Xanthomonas campestris pv. vesicatoria.Scientific reports · 2017Article
- Article
- Bacterial pathogenesis of plants: future challenges from a microbial perspective: Challenges in Bacterial Molecular Plant Pathology.Molecular plant pathology · 2016Review
- Identification of novel Xanthomonas euvesicatoria type III effector proteins by a machine-learning approach.Molecular plant pathology · 2016Article
- Comparative Secretome Analysis of Ralstonia solanacearum Type 3 Secretion-Associated Mutants Reveals a Fine Control of Effector Delivery, Essential for Bacterial Pathogenicity.Molecular & cellular proteomics : MCP · 2016Article
- HpaP modulates type III effector secretion in Ralstonia solanacearum and harbours a substrate specificity switch domain essential for virulence.Molecular plant pathology · 2014Article
- Salicylic acid signal transduction: the initiation of biosynthesis, perception and transcriptional reprogramming.Frontiers in plant science · 2014Article
Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Gram-negative plant pathogenic bacteria possess a type III secretion system (T3SS) to inject bacterial proteins, called type III effectors (T3Es), into host cells through a specialized syringe structure. T3Es are virulence factors that can suppress plant immunity but they can also conversely be recognized by the plant and trigger specific resistance mechanisms. The T3SS and injected T3Es play a central role in determining the outcome of a host-pathogen interaction. Still little is known in plant pathogens on the assembly of the T3SS and the regulatory mechanisms involved in the temporal control of its biosynthesis and T3E translocation. However, recent insights point out the role of several proteins as prime candidates in the role of regulators of the type III secretion (T3S) process. In this review we report on the most recent advances on the regulation of the T3S by focusing on protein players involved in secretion/translocation regulations, including type III chaperones (T3Cs), type III secretion substrate specificity switch (T3S4) proteins and other T3S orchestrators.
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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.