ArticleMolecular plant pathology2017
Prediction of the in planta Phakopsora pachyrhizi secretome and potential effector families.
Article in Molecular plant pathology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed, 37 citations in OpenAlex.
- 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
- Major proliferation of transposable elements shaped the genome of the soybean rust pathogen Phakopsora pachyrhizi.Nature communications · 2023Article
- Transcriptome Analysis and Functional Characterization Reveal ThatFoods (Basel, Switzerland) · 2023Article
- Infection Strategies and Pathogenicity of Biotrophic Plant Fungal Pathogens.Frontiers in microbiology · 2022Review
- Legume Crops and Biotrophic Pathogen Interactions: A Continuous Cross-Talk of a Multilayered Array of Defense Mechanisms.Plants (Basel, Switzerland) · 2020Review
- Reduction of Phakopsora pachyrhizi infection on soybean through host- and spray-induced gene silencing.Molecular plant pathology · 2020Article
- Secretome Profiling Reveals Virulence-Associated Proteins ofBiomolecules · 2019Article
- Candidate Effectors FromFrontiers in plant science · 2019Article
- Review
- New insights into Phakopsora pachyrhizi infection based on transcriptome analysis in planta.Genetics and molecular biologyArticle
Corrections and comments
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Authors and funding
13 authors at 5 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Asian soybean rust (ASR), caused by the obligate biotrophic fungus Phakopsora pachyrhizi, can cause losses greater than 80%. Despite its economic importance, there is no soybean cultivar with durable ASR resistance. In addition, the P. pachyrhizi genome is not yet available. However, the availability of other rust genomes, as well as the development of sample enrichment strategies and bioinformatics tools, has improved our knowledge of the ASR secretome and its potential effectors. In this context, we used a combination of laser capture microdissection (LCM), RNAseq and a bioinformatics pipeline to identify a total of 36 350 P. pachyrhizi contigs expressed in planta and a predicted secretome of 851 proteins. Some of the predicted secreted proteins had characteristics of candidate effectors: small size, cysteine rich, do not contain PFAM domains (except those associated with pathogenicity) and strongly expressed in planta. A comparative analysis of the predicted secreted proteins present in Pucciniales species identified new members of soybean rust and new Pucciniales- or P. pachyrhizi-specific families (tribes). Members of some families were strongly up-regulated during early infection, starting with initial infection through haustorium formation. Effector candidates selected from two of these families were able to suppress immunity in transient assays, and were localized in the plant cytoplasm and nuclei. These experiments support our bioinformatics predictions and show that these families contain members that have functions consistent with P. pachyrhizi effectors.
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