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Transcriptome landscape of a bacterial pathogen under plant immunity.
Nobori, Tatsuya; Velásquez, André C; Wu, Jingni; Kvitko, Brian H; Kremer, James M; Wang, Yiming; He, Sheng Yang; Tsuda, Kenichi.
Afiliación
  • Nobori T; Department of Plant Microbe Interactions, Max Planck Institute for Plant Breeding Research, 50829 Cologne, Germany.
  • Velásquez AC; Michigan State University-Department of Energy Plant Research Laboratory, Michigan State University, East Lansing, MI 48824.
  • Wu J; Department of Plant Microbe Interactions, Max Planck Institute for Plant Breeding Research, 50829 Cologne, Germany.
  • Kvitko BH; Michigan State University-Department of Energy Plant Research Laboratory, Michigan State University, East Lansing, MI 48824.
  • Kremer JM; Michigan State University-Department of Energy Plant Research Laboratory, Michigan State University, East Lansing, MI 48824.
  • Wang Y; Department of Plant Microbe Interactions, Max Planck Institute for Plant Breeding Research, 50829 Cologne, Germany.
  • He SY; Michigan State University-Department of Energy Plant Research Laboratory, Michigan State University, East Lansing, MI 48824; hes@msu.edu tsuda@mpipz.mpg.de.
  • Tsuda K; Howard Hughes Medical Institute, Michigan State University, East Lansing, MI 48824.
Proc Natl Acad Sci U S A ; 115(13): E3055-E3064, 2018 03 27.
Article en En | MEDLINE | ID: mdl-29531038
ABSTRACT
Plant pathogens can cause serious diseases that impact global agriculture. The plant innate immunity, when fully activated, can halt pathogen growth in plants. Despite extensive studies into the molecular and genetic bases of plant immunity against pathogens, the influence of plant immunity in global pathogen metabolism to restrict pathogen growth is poorly understood. Here, we developed RNA sequencing pipelines for analyzing bacterial transcriptomes in planta and determined high-resolution transcriptome patterns of the foliar bacterial pathogen Pseudomonas syringae in Arabidopsis thaliana with a total of 27 combinations of plant immunity mutants and bacterial strains. Bacterial transcriptomes were analyzed at 6 h post infection to capture early effects of plant immunity on bacterial processes and to avoid secondary effects caused by different bacterial population densities in planta We identified specific "immune-responsive" bacterial genes and processes, including those that are activated in susceptible plants and suppressed by plant immune activation. Expression patterns of immune-responsive bacterial genes at the early time point were tightly linked to later bacterial growth levels in different host genotypes. Moreover, we found that a bacterial iron acquisition pathway is commonly suppressed by multiple plant immune-signaling pathways. Overexpression of a P. syringae sigma factor gene involved in iron regulation and other processes partially countered bacterial growth restriction during the plant immune response triggered by AvrRpt2. Collectively, this study defines the effects of plant immunity on the transcriptome of a bacterial pathogen and sheds light on the enigmatic mechanisms of bacterial growth inhibition during the plant immune response.
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Enfermedades de las Plantas / Proteínas Bacterianas / Regulación Bacteriana de la Expresión Génica / Arabidopsis / Pseudomonas syringae / Inmunidad de la Planta / Transcriptoma Tipo de estudio: Prognostic_studies Idioma: En Revista: Proc Natl Acad Sci U S A Año: 2018 Tipo del documento: Article País de afiliación: Alemania

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Enfermedades de las Plantas / Proteínas Bacterianas / Regulación Bacteriana de la Expresión Génica / Arabidopsis / Pseudomonas syringae / Inmunidad de la Planta / Transcriptoma Tipo de estudio: Prognostic_studies Idioma: En Revista: Proc Natl Acad Sci U S A Año: 2018 Tipo del documento: Article País de afiliación: Alemania