Details
| Original language | English |
|---|---|
| Pages (from-to) | 231-239 |
| Number of pages | 9 |
| Journal | Fungal biology |
| Volume | 123 |
| Issue number | 3 |
| Early online date | 26 Dec 2018 |
| Publication status | Published - Mar 2019 |
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.
Keywords
- Black spot, Effector prediction, Fungi, Plant cell wall-degrading enzymes, Plant-pathogen interaction, Roses
ASJC Scopus subject areas
- Agricultural and Biological Sciences(all)
- Ecology, Evolution, Behavior and Systematics
- Biochemistry, Genetics and Molecular Biology(all)
- Genetics
- Medicine(all)
- Infectious Diseases
Sustainable Development Goals
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In: Fungal biology, Vol. 123, No. 3, 03.2019, p. 231-239.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - Prediction of the Diplocarpon rosae secretome reveals candidate genes for effectors and virulence factors
AU - Neu, Enzo
AU - Debener, Thomas
N1 - Funding Information: We thank Jasper Rees and Jonathan Featherston for their cooperation on the genome sequence of D. rosae and their continuous interest in this project. We are grateful for the funding by the Deutsche Forschungsgemeinschaft through the GRK1798 “Signaling at the Plant-Soil Interface” (Grant number: GRK 1798/1 ).
PY - 2019/3
Y1 - 2019/3
N2 - 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.
AB - 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.
KW - Black spot
KW - Effector prediction
KW - Fungi
KW - Plant cell wall-degrading enzymes
KW - Plant-pathogen interaction
KW - Roses
UR - http://www.scopus.com/inward/record.url?scp=85059346995&partnerID=8YFLogxK
U2 - 10.1016/j.funbio.2018.12.003
DO - 10.1016/j.funbio.2018.12.003
M3 - Article
C2 - 30798878
AN - SCOPUS:85059346995
VL - 123
SP - 231
EP - 239
JO - Fungal biology
JF - Fungal biology
SN - 1878-6146
IS - 3
ER -