Literature DB >> 30798878

Prediction of the Diplocarpon rosae secretome reveals candidate genes for effectors and virulence factors.

Enzo Neu1, Thomas Debener2.   

Abstract

Rose black spot is one of the most severe diseases of field-grown roses. Though R-genes have been characterised, little information is known about the molecular details of the interaction between pathogen and host. Based on the recently published genome sequence of the black spot fungus, we analysed gene models with various bioinformatic tools utilising the expression data of infected host tissues, which led to the prediction of 827 secreted proteins. A significant proportion of the predicted secretome comprises enzymes for the degradation of cell wall components, several of which were highly expressed during the first infection stages. As the secretome comprises major factors determining the ability of the fungus to colonise its host, we focused our further analyses on predicted effector candidates. In total, 52 sequences of 251 effector candidates matched several bioinformatic criteria of effectors, contained a Y/F/WxC motif, and did not match annotated proteins from other fungi. Additional sequences were identified based on their high expression levels during the penetration/haustorium formation phase and/or by matching known effectors from other fungi. Several host genotypes that are resistant to the sequenced isolate but differ in the R-genes responsible for this resistance are available. The combination of these genotypes with functional studies of the identified candidate effectors will allow the mechanisms of the rose black spot interaction to be dissected.
Copyright © 2018 The Author(s). Published by Elsevier Ltd.. All rights reserved.

Entities:  

Keywords:  Black spot; Effector prediction; Fungi; Plant cell wall-degrading enzymes; Plant-pathogen interaction; Roses

Mesh:

Substances:

Year:  2018        PMID: 30798878     DOI: 10.1016/j.funbio.2018.12.003

Source DB:  PubMed          Journal:  Fungal Biol


  5 in total

1.  Identification of a polymorphism within the Rosa multiflora muRdr1A gene linked to resistance to multiple races of Diplocarpon rosae W. in tetraploid garden roses (Rosa × hybrida).

Authors:  Cindy Rouet; Elizabeth A Lee; Travis Banks; Joseph O'Neill; Rachael LeBlanc; Daryl J Somers
Journal:  Theor Appl Genet       Date:  2019-09-28       Impact factor: 5.699

2.  Transcriptome Analysis of Fusarium-Tomato Interaction Based on an Updated Genome Annotation of Fusarium oxysporum f. sp. lycopersici Identifies Novel Effector Candidates That Suppress or Induce Cell Death in Nicotiana benthamiana.

Authors:  Xizhe Sun; Xiangling Fang; Dongmei Wang; David A Jones; Lisong Ma
Journal:  J Fungi (Basel)       Date:  2022-06-26

3.  EffHunter: A Tool for Prediction of Effector Protein Candidates in Fungal Proteomic Databases.

Authors:  Karla Gisel Carreón-Anguiano; Ignacio Islas-Flores; Julio Vega-Arreguín; Luis Sáenz-Carbonell; Blondy Canto-Canché
Journal:  Biomolecules       Date:  2020-05-04

4.  Secretome Analysis of the Banana Fusarium Wilt Fungi Foc R1 and Foc TR4 Reveals a New Effector OASTL Required for Full Pathogenicity of Foc TR4 in Banana.

Authors:  Dan Wang; Cunzhi Peng; Xingmei Zheng; Lili Chang; Bingqiang Xu; Zheng Tong
Journal:  Biomolecules       Date:  2020-10-09

5.  In Vitro Secretome Analysis Suggests Differential Pathogenic Mechanisms between Fusarium oxysporum f. sp. cubense Race 1 and Race 4.

Authors:  Yanqiu He; Xiaofan Zhou; Jieling Li; Huaping Li; Yunfeng Li; Yanfang Nie
Journal:  Biomolecules       Date:  2021-09-12
  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.