ArticleBMC genomics2018
Re-programming of Pseudomonas syringae pv. actinidiae gene expression during early stages of infection of kiwifruit.
Article in BMC genomics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 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
25 citing papers in PubMed, 67 citations in OpenAlex.
- To Beet or Not (Just) to Beet: Ecology, Virulence and Genomic Insights Into the Leaf Spot Disease Causative Pseudomonas syringae pv. aptata.Molecular plant pathology · 2026Review
- Integrated transcriptome and metabolome analysis reveals the molecular mechanism underlying differences in Psa resistance betweenFrontiers in plant science · 2026Article
- Novel insights into the genetic basis and transcriptomic elucidation of virulence attenuation inVirulence · 2025Article
- Genomic Biosurveillance of the Kiwifruit Pathogen Pseudomonas syringae pv. actinidiae Biovar 3 Reveals Adaptation to Selective Pressures in New Zealand Orchards.Molecular plant pathology · 2025Article
- Identification and Characterization of Innate Immunity in Actinidia melanandra in Response to Pseudomonas syringae pv. actinidiae.Plant, cell & environment · 2025Article
- Individually redundant effectors are collectively required for bacterial pathogen virulence.The ISME journal · 2025Article
- Two transcription factors, AcREM14 and AcC3H1, enhance the resistance of kiwifruitHorticulture research · 2024Article
- Article
- Homologous genes shared between probiotics and pathogens affect the adhesion of probiotics and exclusion of pathogens in the gut mucus of shrimp.Frontiers in microbiology · 2023Article
- Large-Scale Transposon Mutagenesis Reveals Type III Secretion Effector HopR1 Is a Major Virulence Factor inPlants (Basel, Switzerland) · 2022Article
- A lipopolysaccharide-dependent phage infects a pseudomonad phytopathogen and can evolve to evade phage resistance.Environmental microbiology · 2022Article
- Effector loss drives adaptation of Pseudomonas syringae pv. actinidiae biovar 3 to Actinidia arguta.PLoS pathogens · 2022Article
- Pseudomonas syringae addresses distinct environmental challenges during plant infection through the coordinated deployment of polysaccharides.Journal of experimental botany · 2022Article
- Identification of Indole-3-Acetic Acid-Regulated Genes inJournal of bacteriology · 2022Article
- Inferring the Significance of the Polyamine Metabolism in the Phytopathogenic BacteriaFrontiers in microbiology · 2022Article
- Distinct phenotypic behaviours within a clonal population of Pseudomonas syringae pv. actinidiae.PloS one · 2022Article
- Regulation of theMicroorganisms · 2021Review
- Review
- Genetic Causes of Non-pathogenicFrontiers in microbiology · 2021Article
- Blue-light perception by epiphytic Pseudomonas syringae drives chemoreceptor expression, enabling efficient plant infection.Molecular plant pathology · 2020Article
Corrections and comments
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Authors and funding
14 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundPseudomonas syringae is a widespread bacterial species complex that includes a number of significant plant pathogens. Amongst these, P. syringae pv. actinidiae (Psa) initiated a worldwide pandemic in 2008 on cultivars of Actinidia chinensis var. chinensis. To gain information about the expression of genes involved in pathogenicity we have carried out transcriptome analysis of Psa during the early stages of kiwifruit infection.
resultsGene expression in Psa was investigated during the first five days after infection of kiwifruit plantlets, using RNA-seq. Principal component and heatmap analyses showed distinct phases of gene expression during the time course of infection. The first phase was an immediate transient peak of induction around three hours post inoculation (HPI) that included genes that code for a Type VI Secretion System and nutrient acquisition (particularly phosphate). This was followed by a significant commitment, between 3 and 24 HPI, to the induction of genes encoding the Type III Secretion System (T3SS) and Type III Secreted Effectors (T3SE). Expression of these genes collectively accounted for 6.3% of the bacterial transcriptome at this stage. There was considerable variation in the expression levels of individual T3SEs but all followed the same temporal expression pattern, with the exception of hopAS1, which peaked later in expression at 48 HPI. As infection progressed over the time course of five days, there was an increase in the expression of genes with roles in sugar, amino acid and sulfur transport and the production of alginate and colanic acid. These are both polymers that are major constituents of extracellular polysaccharide substances (EPS) and are involved in biofilm production. Reverse transcription-quantitative PCR (RT-qPCR) on an independent infection time course experiment showed that the expression profile of selected bacterial genes at each infection phase correlated well with the RNA-seq data.
conclusionsThe results from this study indicate that there is a complex remodeling of the transcriptome during the early stages of infection, with at least three distinct phases of coordinated gene expression. These include genes induced during the immediate contact with the host, those involved in the initiation of infection, and finally those responsible for nutrient acquisition.
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