ArticleFrontiers in microbiology2015
In planta Identification of Putative Pathogenicity Factors from the Chickpea Pathogen Ascochyta rabiei by De novo Transcriptome Sequencing Using RNA-Seq and Massive Analysis of cDNA Ends.
Article in Frontiers in microbiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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16 citing papers in PubMed, 27 citations in OpenAlex.
- Combining whole genome and transcriptome sequencing to analyze the pathogenic mechanism ofVirulence · 2025Article
- Genetic Analysis of Partially Resistant and Susceptible Chickpea Cultivars in Response toInternational journal of molecular sciences · 2024Article
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- Genome and Transcriptome Analysis ofMicrobiology spectrum · 2023Article
- Bulked segregant transcriptome analysis in pea identifies key expression markers for resistance to Peyronellaea pinodes.Scientific reports · 2022Article
- Ascochyta rabiei: A threat to global chickpea production.Molecular plant pathology · 2022Review
- Differentiation of an Iranian resistance chickpea line to Ascochyta blight from a susceptible line using a functional SNP.AMB Express · 2022Article
- Breeding and Genomics Interventions for Developing Ascochyta Blight Resistant Grain Legumes.International journal of molecular sciences · 2022Review
- Current population structure and pathogenicity patterns ofMicrobial genomics · 2021Article
- Reference genome assembly for Australian Ascochyta lentis isolate Al4.G3 (Bethesda, Md.) · 2021Article
- Reference Genome Assembly for AustralianG3 (Bethesda, Md.) · 2020Article
- The Biotrophic Development ofThe Plant cell · 2018Article
- Transcription Factor Repertoire of Necrotrophic Fungal PhytopathogenFrontiers in plant science · 2017Article
- Massive analysis of cDNA ends (MACE) reveals a co-segregating candidate gene for LpPg1 stem rust resistance in perennial ryegrass (Lolium perenne).TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2016Article
- Bioinformatics resources for pollen.Plant reproduction · 2016Review
- Draft genome sequencing and secretome analysis of fungal phytopathogen Ascochyta rabiei provides insight into the necrotrophic effector repertoire.Scientific reports · 2016Article
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The most important foliar diseases in legumes worldwide are ascochyta blights. Up to now, in the Ascochyta-legume pathosystem most studies focused on the identification of resistance genes in the host, while very little is known about the pathogenicity factors of the fungal pathogen. Moreover, available data were often obtained from fungi growing under artificial conditions. Therefore, in this study we aimed at the identification of the pathogenicity factors of Ascochyta rabiei, causing ascochyta blight in chickpea. To identify potential fungal pathogenicity factors, we employed RNA-seq and Massive Analysis of cDNA Ends (MACE) to produce comprehensive expression profiles of A. rabiei genes isolated either from the fungus growing in absence of its host or from fungi infecting chickpea leaves. We further provide a comprehensive de novo assembly of the A. rabiei transcriptome comprising 22,725 contigs with an average length of 1178 bp. Since pathogenicity factors are usually secreted, we predicted the A. rabiei secretome, yielding 550 putatively secreted proteins. MACE identified 596 transcripts that were up-regulated during infection. An analysis of these genes identified a collection of candidate pathogenicity factors and unraveled the pathogen's strategy for infecting its host.
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