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Proteomic Profiling of Plant and Pathogen Interaction on the Leaf Epidermis.
Sidiq, Yasir; Tamaoki, Daisuke; Nishiuchi, Takumi.
Afiliação
  • Sidiq Y; Division of Life Science, Graduate School of Natural Science and Technology, Kanazawa University, Kanazawa 920-1192, Japan.
  • Tamaoki D; Biology Education Department, Faculty of Teacher Training and Education, Universitas Muhammadiyah Surakarta, Kartasura 57162, Indonesia.
  • Nishiuchi T; Faculty of Science, Academic Assembly, University of Toyama, Toyama 930-8555, Japan.
Int J Mol Sci ; 23(20)2022 Oct 12.
Article em En | MEDLINE | ID: mdl-36293025
The plant epidermis is the first line of plant defense against pathogen invasion, and likely contains important regulatory proteins related to the plant-pathogen interaction. This study aims to identify the candidates of these regulatory proteins expressed in the plant epidermis. We performed comparative proteomic studies to identify rapidly and locally expressed proteins in the leaf epidermis inoculated with fungal phytopathogen. The conidia solutions were dropped onto the Arabidopsis leaf surface, and then, we collected the epidermal tissues from inoculated and mock-treated leaves at 4 and 24 hpi. The label-free quantification methods showed that expressions of Arabidopsis proteins, which are related to defense signals, such as BAK1, MKK5, receptor-like protein kinases, transcription factors, and stomatal functions, were rapidly induced in the epidermal tissues of inoculated leaves. In contrast, most of them were not differentially regulated by fugal inoculation in the whole leaves. These findings clearly indicate that epidermal proteomics can monitor locally expressed proteins in inoculated areas of plant tissues. We also identified the 61 fungal proteins, including effector-like proteins specifically expressed on the Arabidopsis epidermis. Our new findings suggested that epidermal proteomics is useful for understanding the local expressions of plant and fungal proteins related to their interactions.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Arabidopsis / Proteínas de Arabidopsis Tipo de estudo: Prognostic_studies Idioma: En Revista: Int J Mol Sci Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Japão

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Arabidopsis / Proteínas de Arabidopsis Tipo de estudo: Prognostic_studies Idioma: En Revista: Int J Mol Sci Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Japão