Bioinformatic prediction of plant–pathogenicity effector proteins of fungi

QR Code

Bioinformatic prediction of plant–pathogenicity effector proteins of fungi

© 2018. Effector proteins are important virulence factors of fungal plant pathogens and their prediction largely relies on bioinformatic methods. In this review we outline the current methods for the prediction of fungal plant pathogenicity effector proteins. Some fungal effectors have been characte...

Full description

Bibliographic Details
Main Authors:	Jones, Darcy, Bertazzoni, Stefania, Turo, Chala, Syme, Robert, Hane, James
Format:	Journal Article
Published:	2018
Online Access:	http://hdl.handle.net/20.500.11937/66269

Similar Items

Accessories make the outfit: Accessory chromosomes and other dispensable DNA regions in plant-pathogenic fungi
by: Bertazzoni, S., et al.
Published: (2018)

Advances and Challenges in Computational Prediction of Effectors from Plant Pathogenic Fungi
by: Sperschneider, J., et al.
Published: (2015)

Chromosome-level genome assembly and manually-curated proteome of model necrotroph Parastagonospora nodorum Sn15 reveals a genome-wide trove of candidate effector homologs, and redundancy of virulence-related functions within an accessory chromosome
by: Bertazzoni, Stefania, et al.
Published: (2021)

Resequencing and comparative genomics of stagonospora nodorum: Sectional gene absence and effector discovery
by: Syme, Robert, et al.
Published: (2013)

Pan-parastagonospora comparative genome analysis-effector prediction and genome evolution
by: Syme, Robert, et al.
Published: (2018)

Fighting fungal pathogens with big data: new computational approaches for effector discovery and crop disease management
by: Jones, Darcy Adam Bain
Published: (2021)

Prediction of New Fungal Pathogen Effector-like Proteins and Their Molecular Interactions with Their Host
by: Rozano, Lina
Published: (2022)

LOCALIZER: Subcellular localization prediction of both plant and effector proteins in the plant cell
by: Sperschneider, J., et al.
Published: (2017)

ApoplastP: Prediction of effectors and plant proteins in the apoplast using machine learning
by: Sperschneider, J., et al.
Published: (2017)

Effector gene prediction from fungal pathogen genome assemblies
by: Testa, Alison Clare
Published: (2016)

Improved prediction of fungal effector proteins from secretomes with EffectorP 2.0
by: Sperschneider, J., et al.
Published: (2018)

EffectorP: Predicting fungal effector proteins from secretomes using machine learning
by: Sperschneider, J., et al.
Published: (2016)

The Velvet transcription factor PnVeA regulates necrotrophic effectors and secondary metabolism in the wheat pathogen Parastagonospora nodorum
by: Morikawa, Shota, et al.
Published: (2024)

Regulation of proteinaceous effector expression in phytopathogenic fungi
by: Tan, Kar-Chun, et al.
Published: (2017)

Overview of genomic and bioinformatic resources for Zymoseptoria.
by: Renwick, Alison, et al.
Published: (2015)

Evaluation of secretion prediction highlights differing approaches needed for oomycete and fungal effectors
by: Sperschneider, J., et al.
Published: (2015)

Host specific toxins; effectors of necrotrophic pathogenicity
by: Friesen, T., et al.
Published: (2008)

Effectors as tools in disease resistance breeding against biotrophic, hemibiotrophic, and necrotrophic plant pathogens
by: Vleeshouwers, V., et al.
Published: (2014)

Comparative analysis of the predicted secretomes of Rosaceae scab pathogens Venturia inaequalis and V. pirina reveals expanded effector families and putative determinants of host range
by: Deng, C., et al.
Published: (2017)

Four novel ARSA gene mutations with pathogenic impacts on metachromatic leukodystrophy: a bioinformatics approach to predict pathogenic mutations
by: Manshadi, Masoumeh Dehghan, et al.
Published: (2017)

A specific fungal transcription factor controls effector gene expression and orchestrates the establishment of the necrotrophic pathogen lifestyle on wheat
by: Jones, Darcy, et al.
Published: (2019)

Variability in an effector gene promoter of a necrotrophic fungal pathogen dictates epistasis and effector-triggered susceptibility in wheat
by: John, Evan, et al.
Published: (2022)

Fungal plant pathogenesis mediated by effectors
by: De Wit, P., et al.
Published: (2016)

Genomic Analysis of Fungal Species Causing Ascochyta Blight in Field Pea
by: Turo, Chala Jefuka
Published: (2016)

Apoplastic effector candidates of a foliar forest pathogen trigger cell death in host and non-host plants
by: Hunziker, Lukas, et al.
Published: (2021)

Transcription factor lineages in plant-pathogenic fungi, connecting diversity with fungal virulence
by: John, Evan, et al.
Published: (2022)

Trends in nanotechnology and its potentialities to control plant pathogenic fungi: a review
by: Kutawa, Abdulaziz Bashir, et al.
Published: (2021)

Suppression of biofilm formation on selected plant pathogenic fungi using commercial fungicide
by: Soh, Sudamma Chien Hsien
Published: (2017)

Marine-derived fungi: a promising source of halo tolerant biological control agents against plant pathogenic fungi
by: Chalearmsrimuang, Tanaporn, et al.
Published: (2019)

Bioinformatics Analysis of the Ribosomal Proteins, RPL27, RPL37a and RPL41: 3-D Protein Modeling and Protein-protein Interaction Prediction
by: Chan, Stella Li Li, et al.
Published: (2013)

Bioinformatics analysis of the ribosomal protein, Rpl27, Rpl37a and Rpl41:3-D protein modeling and protein-protein interaction prediction
by: Chan, Stella Li Li
Published: (2012)

Comparative genome structure, secondary metabolite, and effector coding capacity across Cochliobolus pathogens.
by: Condon, Bradford J., et al.
Published: (2013)

Inoculation and growth with foliar pathogenic fungi
by: Ellwood, Simon, et al.
Published: (2006)

Biocontrol of plant pathogen Phellinus Noxius by selected actinomycetes, bacteria and fungi / Yanti Yaacob
by: Yaacob, Yanti
Published: (2014)

Suppression of biofilm formation on selected plant pathogenic fungi using tea tree oil
by: Andrew, Bernice
Published: (2017)

Utilizing Gene Tree Variation to Identify Candidate Effector Genes in Zymoseptoria tritici
by: McDonald, M., et al.
Published: (2016)

Evolution of Linked Avirulence Effectors in Leptosphaeria maculans Is Affected by Genomic Environment and Exposure to Resistance Genes in Host Plants
by: Van de Wouw, A., et al.
Published: (2010)

A comparative hidden Markov model analysis pipeline identifies proteins characteristic of cereal-infecting fungi
by: Sperscneider, J., et al.
Published: (2013)

Feature: bioinformatics
by: M. M., Yusoff, et al.
Published: (2010)

Heterologous Expression of the Pyrenophora tritici-repentis Effector Proteins ToxA and ToxB, and the Prevalence of Effector Sensitivity in Australian Cereal Crops
by: Moffat, Caroline, et al.
Published: (2019)