P Starvation in Roses Leads to Strongly Genotype-Dependent Induction of P-Transporter Genes during Black Spot Leaf Disease

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Domes, H.S.; Neu, E.; Linde, M.; Debener, T.: P Starvation in Roses Leads to Strongly Genotype-Dependent Induction of P-Transporter Genes during Black Spot Leaf Disease. In: Journal of Fungi 8 (2022), Nr. 6, 549. DOI: https://doi.org/10.3390/jof8060549

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To cite the version in the repository, please use this identifier: https://doi.org/10.15488/12725

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Abstract: 
Phosphorous starvation in plants has been reported to have contrasting effects on the interaction with pathogens in different plant pathogen systems and plant species. Both increases and decreases in susceptibility have been observed in numerous reports. Here, we analysed black spot infection and the leaf expression of two plant phosphate transporters and one defence marker gene in roses after phosphorous starvation. We varied three factors: phosphate starvation versus full supply of phosphorous, black spot infection vs. mock inoculation, and different susceptible and resistant progeny of a biparental rose population. Black spot susceptibility or resistance was not significantly changed upon phosphate starvation in either compatible or incompatible interactions. The expression of phosphate transporters was strongly induced upon starvation, but in some genotypes, expression was altered by black spot interaction as well. The marker for pathogenic interactions was exclusively induced by interaction with black spot, but the expression was altered by a combination of phosphate starvation and interaction with the fungus in some genotypes. In summary, phosphate starvation has clear effects on the gene expression of phosphate transporters in rose leaves, and the interaction with a hemibiotrophic leaf pathogen is strongly genotype dependent.
License of this version: CC BY 4.0 Unported
Document Type: Article
Publishing status: publishedVersion
Issue Date: 2022
Appears in Collections:Naturwissenschaftliche Fakultät

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pos. country downloads
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1 image of flag of Germany Germany 20 42.55%
2 image of flag of United States United States 13 27.66%
3 image of flag of Russian Federation Russian Federation 4 8.51%
4 image of flag of China China 3 6.38%
5 image of flag of Czech Republic Czech Republic 2 4.26%
6 image of flag of Taiwan Taiwan 1 2.13%
7 image of flag of Italy Italy 1 2.13%
8 image of flag of Hong Kong Hong Kong 1 2.13%
9 image of flag of Denmark Denmark 1 2.13%
10 image of flag of Austria Austria 1 2.13%

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