Identification of effector candidate genes of Rhizoctonia solani AG-1 IA expressed during infection in Brachypodium distachyon.


Journal

Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288

Informations de publication

Date de publication:
10 09 2020
Historique:
received: 30 04 2020
accepted: 24 08 2020
entrez: 11 9 2020
pubmed: 12 9 2020
medline: 16 3 2021
Statut: epublish

Résumé

Rhizoctonia solani is a necrotrophic phytopathogen belonging to basidiomycetes. It causes rice sheath blight which inflicts serious damage in rice production. The infection strategy of this pathogen remains unclear. We previously demonstrated that salicylic acid-induced immunity could block R. solani AG-1 IA infection in both rice and Brachypodium distachyon. R. solani may undergo biotrophic process using effector proteins to suppress host immunity before necrotrophic stage. To identify pathogen genes expressed at the early infection process, here we developed an inoculation method using B. distachyon which enables to sample an increased amount of semi-synchronous infection hyphae. Sixty-one R. solani secretory effector-like protein genes (RsSEPGs) were identified using in silico approach with the publicly available gene annotation of R. solani AG-1 IA genome and our RNA-sequencing results obtained from hyphae grown on agar medium. Expression of RsSEPGs was analyzed at 6, 10, 16, 24, and 32 h after inoculation by a quantitative reverse transcription-polymerase chain reaction and 52 genes could be detected at least on a single time point tested. Their expressions showed phase-specific patterns which were classified into 6 clusters. The 23 RsSEPGs in the cluster 1-3 and 29 RsSEPGs in the cluster 4-6 are expected to be involved in biotrophic and necrotrophic interactions, respectively.

Identifiants

pubmed: 32913311
doi: 10.1038/s41598-020-71968-x
pii: 10.1038/s41598-020-71968-x
pmc: PMC7483729
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

14889

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Auteurs

Sobhy S H Abdelsalam (SSH)

Graduate School of Environmental and Life Science, Okayama University, Okayama, Japan.
Plant Pathology Department, Faculty of Agriculture, Alexandria University, El-Shatby, Egypt.

Yusuke Kouzai (Y)

Bioproductivity Informatics Research Team, RIKEN Center for Sustainable Resource Science, Yokohama, Japan.
Kihara Institute for Biological Research, Yokohama City University, Yokohama, Japan.

Megumi Watanabe (M)

Graduate School of Environmental and Life Science, Okayama University, Okayama, Japan.

Komaki Inoue (K)

Bioproductivity Informatics Research Team, RIKEN Center for Sustainable Resource Science, Yokohama, Japan.

Hidenori Matsui (H)

Graduate School of Environmental and Life Science, Okayama University, Okayama, Japan.

Mikihiro Yamamoto (M)

Graduate School of Environmental and Life Science, Okayama University, Okayama, Japan.

Yuki Ichinose (Y)

Graduate School of Environmental and Life Science, Okayama University, Okayama, Japan.

Kazuhiro Toyoda (K)

Graduate School of Environmental and Life Science, Okayama University, Okayama, Japan.

Seiji Tsuge (S)

Graduate School of Agriculture, Kyoto Prefectural University, Kyoto, Japan.

Keiichi Mochida (K)

Bioproductivity Informatics Research Team, RIKEN Center for Sustainable Resource Science, Yokohama, Japan.
Kihara Institute for Biological Research, Yokohama City University, Yokohama, Japan.
Institute for Plant Science and Resources (IPSR), Okayama University, Okayama, Japan.

Yoshiteru Noutoshi (Y)

Graduate School of Environmental and Life Science, Okayama University, Okayama, Japan. noutoshi@okayama-u.ac.jp.

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