Project description:Septoria leaf blotch is a worldwide threat for wheat and mainly controlled by the application of synthetic fungicides. The fungal pathogen responsible for this disease, Zymoseptoria tritici, was shown as highly adaptable to its host plant, but also to fungicide challenge. Over the past decades it developed resistance to most fungicides due to target site modifications. Recently isolated strains showed cross-resistance to diverse fungicides and to unrelated drugs, suggesting a resistance mechanism that seems rarer in phytopathogenic fungi, known as multidrug resistance (MDR) in other organisms. In this study we show for two Z. tritici MDR strains, MDR6 and MDR7, enhanced prochloraz efflux sensitive to the modulators amitryptiline and chlorpromazine. Efflux was also inhibited by verapamil in the MDR7strain. Transcriptomics revealed several overexpressed transporter genes in both MDR strains, out of which the expression of the MgMFS1 transporter gene was the strongest and constitutively high in tested MDR field strains. Its inactivation in the MDR6 strain abolished resistance to fungicides with different modes of action revealing its involvement in the MDR phenomenon in Z. tritici.
Project description:Septoria leaf blotch is a worldwide threat for wheat and mainly controlled by the application of synthetic fungicides. The fungal pathogen responsible for this disease, Zymoseptoria tritici, was shown as highly adaptable to its host plant, but also to fungicide challenge. Over the past decades it developed resistance to most fungicides due to target site modifications. Recently isolated strains showed cross-resistance to diverse fungicides and to unrelated drugs, suggesting a resistance mechanism that seems rarer in phytopathogenic fungi, known as multidrug resistance (MDR) in other organisms. In this study we show for two Z. tritici MDR strains, MDR6 and MDR7, enhanced prochloraz efflux sensitive to the modulators amitryptiline and chlorpromazine. Efflux was also inhibited by verapamil in the MDR7strain. Transcriptomics revealed several overexpressed transporter genes in both MDR strains, out of which the expression of the MgMFS1 transporter gene was the strongest and constitutively high in tested MDR field strains. Its inactivation in the MDR6 strain abolished resistance to fungicides with different modes of action revealing its involvement in the MDR phenomenon in Z. tritici. A total of four strains were compared, two sensitive (IPO323, S6) and two MDR strains (09-ASA-3apz; 09-CB01) with three replicates each. All strains were grown in liquid YPD medium to exponential growth.
Project description:We revealed that a rhamnolipid protects wheat against the hemibiotrophic fungal pathogen Zymoseptoria tritici. Foliar application of the biomolecule primes, during the early stages of infection, the expression of genes associated with different functional groups of genes.
Project description:We have applied whole transcriptome profiling to infer genetic determinants of pathogenicity and host specialization in Z. tritici. Our data includes RNAseq data from early infection stages of a compatible (wheat) and a non-compatible host (Brachypodium distachyon). Overall transcription of AC genes is remarkably lower than genes on core chromosomes (CC) and only 40% of the genes are transcribed. We identify 31 AC and 1069 CC genes showing plant specific expression. In addition 21 CC genes are only upregulated in wheat supporting functional relevance in host specificity. We further explore the genomic composition and distribution of unique and paralogous genes in Z. tritici focusing on the evolutionary origin of AC genes. In contrast to previous studies we show that ACs mainly encode unique genes. Phylogenetic analyses suggest that rare duplication events in the Z. tritici genome precede diversification of Zymoseptoria species and demonstrate that ACs have been maintained in the genome of Zymoseptoria over long evolutionary times. Examination of gene expression at 3 different growth condition of the wheat pathogen Z. tritici.
Project description:We revealed that mycosubtilin, a lipopeptide from Bacillus subtilis, protects wheat against the hemibiotrophic fungal pathogen Zymoseptoria tritici. Foliar application of the biomolecule primes, during the early stages of infection, the expression of genes associated with sixteen functional groups, including responses to pathogens, abiotic and oxidative stresses, secondary metabolism, cell-wall structure and function, and primary metabolic pathways (carbohydrate, amino acid, protein, lipid, and energy metabolisms).
Project description:We have applied whole transcriptome profiling to infer genetic determinants of pathogenicity and host specialization in Z. tritici. Our data includes RNAseq data from early infection stages of a compatible (wheat) and a non-compatible host (Brachypodium distachyon). Overall transcription of AC genes is remarkably lower than genes on core chromosomes (CC) and only 40% of the genes are transcribed. We identify 31 AC and 1069 CC genes showing plant specific expression. In addition 21 CC genes are only upregulated in wheat supporting functional relevance in host specificity. We further explore the genomic composition and distribution of unique and paralogous genes in Z. tritici focusing on the evolutionary origin of AC genes. In contrast to previous studies we show that ACs mainly encode unique genes. Phylogenetic analyses suggest that rare duplication events in the Z. tritici genome precede diversification of Zymoseptoria species and demonstrate that ACs have been maintained in the genome of Zymoseptoria over long evolutionary times.
Project description:To reannotate the genome of Zymoseptoria tritici IPO323, RNA-Seq and Iso-Seq runs were performed on different growth media to provide new source of evidence for gene model predictors. New gene models were predicted and combined with existing annotation releases. Finally, selection of best gene models was done by congruence with evidence data like transcript assembled from RNA-Seq, Iso-Seq cDNA and fungal proteins from databases.
