ArticleMolecular plant pathology2014
The haustorial transcriptomes of Uromyces appendiculatus and Phakopsora pachyrhizi and their candidate effector families.
Article in Molecular plant pathology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.
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Who cites it
38 citing papers in PubMed.
- Use of the Puccinia sorghi haustorial transcriptome to identify and characterize AvrRp1-D recognized by the maize Rp1-D resistance protein.PLoS pathogens · 2024Article
- Soybean-Phakopsora pachyrhizi interactions: towards the development of next-generation disease-resistant plants.Plant biotechnology journal · 2024Review
- Variability and functional characterization of the Phakopsora pachyrhizi Egh16-like effectors.Genetics and molecular biology · 2024Article
- Mycoviruses in the Rust FungusViruses · 2023Article
- Major proliferation of transposable elements shaped the genome of the soybean rust pathogen Phakopsora pachyrhizi.Nature communications · 2023Article
- The haustorium: The root of biotrophic fungal pathogens.Frontiers in plant science · 2022Review
- Review
- In-depth secretome analysis of Puccinia striiformis f. sp. tritici in infected wheat uncovers effector functions.Bioscience reports · 2020Article
- Legume Crops and Biotrophic Pathogen Interactions: A Continuous Cross-Talk of a Multilayered Array of Defense Mechanisms.Plants (Basel, Switzerland) · 2020Review
- Smut fungi as a stratagem to characterize rust effectors: opportunities and challenges.World journal of microbiology & biotechnology · 2020Review
- Reduction of Phakopsora pachyrhizi infection on soybean through host- and spray-induced gene silencing.Molecular plant pathology · 2020Article
- Testing reference genes for transcript profiling in Uromyces appendiculatus during urediospore infection of common bean.PloS one · 2020Article
- Comparative transcriptomics of Gymnosporangium spp. teliospores reveals a conserved genetic program at this specific stage of the rust fungal life cycle.BMC genomics · 2019Article
- The haustorial transcriptome of the cucurbit pathogen Podosphaera xanthii reveals new insights into the biotrophy and pathogenesis of powdery mildew fungi.BMC genomics · 2019Article
- Flax rust infection transcriptomics reveals a transcriptional profile that may be indicative for rust Avr genes.PloS one · 2019Article
- Candidate Effectors FromFrontiers in plant science · 2019Article
- Comparative transcriptome analysis and identification of candidate effectors in two related rust species (Gymnosporangium yamadae and Gymnosporangium asiaticum).BMC genomics · 2017Article
- Marker-Assisted Molecular Profiling, Deletion Mutant Analysis, and RNA-Seq Reveal a Disease Resistance Cluster Associated with Uromyces appendiculatus Infection in Common Bean Phaseolus vulgaris L.International journal of molecular sciences · 2017Article
- Prediction of the in planta Phakopsora pachyrhizi secretome and potential effector families.Molecular plant pathology · 2017Article
- The Hemileia vastatrix effector HvEC-016 suppresses bacterial blight symptoms in coffee genotypes with the SThe New phytologist · 2017Article
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12 authors.
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Abstract
Haustoria of biotrophic rust fungi are responsible for the uptake of nutrients from their hosts and for the production of secreted proteins, known as effectors, which modulate the host immune system. The identification of the transcriptome of haustoria and an understanding of the functions of expressed genes therefore hold essential keys for the elucidation of fungus-plant interactions and the development of novel fungal control strategies. Here, we purified haustoria from infected leaves and used 454 sequencing to examine the haustorial transcriptomes of Phakopsora pachyrhizi and Uromyces appendiculatus, the causal agents of soybean rust and common bean rust, respectively. These pathogens cause extensive yield losses in their respective legume crop hosts. A series of analyses were used to annotate expressed sequences, including transposable elements and viruses, to predict secreted proteins from the assembled sequences and to identify families of candidate effectors. This work provides a foundation for the comparative analysis of haustorial gene expression with further insights into physiology and effector evolution.
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