ArticleMicrobial genomics2021
Remote homology clustering identifies lowly conserved families of effector proteins in plant-pathogenic fungi.
Article in Microbial genomics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
9 citing papers in PubMed, 16 citations in OpenAlex.
- EffectorFisher: association of disease phenotype with pangenomic protein-isoform profiles for improved prediction of fungal pathogenicity effectors.Scientific reports · 2026Article
- Article
- Template-Based Modelling of the Structure of Fungal Effector Proteins.Molecular biotechnology · 2024Article
- The Molecular Docking of MAX Fungal Effectors with Plant HMA Domain-Binding Proteins.International journal of molecular sciences · 2023Article
- Surface frustration re-patterning underlies the structural landscape and evolvability of fungal orphan candidate effectors.Nature communications · 2023Article
- Ab Initio Modelling of the Structure of ToxA-like and MAX Fungal Effector Proteins.International journal of molecular sciences · 2023Article
- Prediction of effector protein structures from fungal phytopathogens enables evolutionary analyses.Nature microbiology · 2023Article
- WideEffHunter: An Algorithm to Predict Canonical and Non-Canonical Effectors in Fungi and Oomycetes.International journal of molecular sciences · 2022Article
- Fungal Effectoromics: A World in Constant Evolution.International journal of molecular sciences · 2022Review
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Plant diseases caused by fungal pathogens are typically initiated by molecular interactions between 'effector' molecules released by a pathogen and receptor molecules on or within the plant host cell. In many cases these effector-receptor interactions directly determine host resistance or susceptibility. The search for fungal effector proteins is a developing area in fungal-plant pathology, with more than 165 distinct confirmed fungal effector proteins in the public domain. For a small number of these, novel effectors can be rapidly discovered across multiple fungal species through the identification of known effector homologues. However, many have no detectable homology by standard sequence-based search methods. This study employs a novel comparison method (RemEff) that is capable of identifying protein families with greater sensitivity than traditional homology-inference methods, leveraging a growing pool of confirmed fungal effector data to enable the prediction of novel fungal effector candidates by protein family association. Resources relating to the RemEff method and data used in this study are available from https://figshare.com/projects/Effector_protein_remote_homology/87965.
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Registered trials
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.