ArticleScientific reports2021
An automated and combinative method for the predictive ranking of candidate effector proteins of fungal plant pathogens.
Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 35 papers.
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Who cites it
35 citing papers in PubMed.
- Prediction of the secretome of Microbotryum intermedium, as well as candidate fungal effectors.BMC genomic data · 2026Article
- Interspecies hybridization as a route of accessory chromosome origin in fungal pathogens.mBio · 2026Article
- Comparative genome analysis identifies necrosis-inducing effectors in the lentil pathogen Ascochyta lentis in isolates with distinct virulence profiles.BMC genomics · 2026Article
- EffectorFisher: association of disease phenotype with pangenomic protein-isoform profiles for improved prediction of fungal pathogenicity effectors.Scientific reports · 2026Article
- Massive proliferation of retrotransposons contributes to genome size expansion in species of the Pseudocercospora genus.Mobile DNA · 2026Article
- Genome and transcriptome analyses reveal molecular mechanisms underlying the interaction betweenFrontiers in plant science · 2026Article
- Pangenome graph analysis reveals evolution of resistance breaking in spinach downy mildew.PLoS biology · 2026Article
- Exploring Multifaceted Roles of Bambusicolous Apiospora in Phyllostachys bambusoides.Microbial ecology · 2025Article
- Exploring effector candidates in Rhynchosporium commune: insights into their expression dynamics during barley infection.Scientific reports · 2025Article
- Evolutionary genomics reveals variation in structure and genetic content implicated in virulence and lifestyle in the genus Gaeumannomyces.BMC genomics · 2025Article
- Host plant flooding stress in soybeans differentially impacts avirulent and virulent soybean aphid (Aphis glycines) biotypes.Scientific reports · 2025Article
- A dual transcriptome analysis reveals accession-specific resistance responses inFrontiers in plant science · 2025Article
- Repeat-induced point mutations driving Parastagonospora nodorum genomic diversity are balanced by selection against non-synonymous mutations.Communications biology · 2024Article
- Population-level whole-genome sequencing ofMicrobial genomics · 2024Article
- Pangenome graph analysis reveals extensive effector copy-number variation in spinach downy mildew.PLoS genetics · 2024Article
- Highly Repetitive Genome ofInternational journal of molecular sciences · 2024Article
- Pan-genome survey ofFrontiers in microbiology · 2024Article
- What lies behind the large genome ofFrontiers in fungal biology · 2024Article
- Article
- The Molecular Docking of MAX Fungal Effectors with Plant HMA Domain-Binding Proteins.International journal of molecular sciences · 2023Article
Corrections and comments
- Erratum issued
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Fungal plant-pathogens promote infection of their hosts through the release of 'effectors'-a broad class of cytotoxic or virulence-promoting molecules. Effectors may be recognised by resistance or sensitivity receptors in the host, which can determine disease outcomes. Accurate prediction of effectors remains a major challenge in plant pathology, but if achieved will facilitate rapid improvements to host disease resistance. This study presents a novel tool and pipeline for the ranking of predicted effector candidates-Predector-which interfaces with multiple software tools and methods, aggregates disparate features that are relevant to fungal effector proteins, and applies a pairwise learning to rank approach. Predector outperformed a typical combination of secretion and effector prediction methods in terms of ranking performance when applied to a curated set of confirmed effectors derived from multiple species. We present Predector ( https://github.com/ccdmb/predector ) as a useful tool for the ranking of predicted effector candidates, which also aggregates and reports additional supporting information relevant to effector and secretome prediction in a simple, efficient, and reproducible manner.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.