EffectorP 3.0: Prediction of Apoplastic and Cytoplasmic Effectors in Fungi and Oomycetes

• Published in: Molecular plant-microbe interactions Vol. 35; no. 2; pp. 146 - 156
• Main Authors: Sperschneider, Jana, Dodds, Peter N.
• Format: Journal Article
• Language: English
• Published: United States American Phytopathological Society 01.02.2022; The American Phytopathological Society
• Subjects: Amino acids; Apoplast; artificial intelligence; Cysteine; Cytoplasm; Cytoplasm - metabolism; Effectors; Fungal Proteins - metabolism; Fungi; fungus–plant interactions; Homology; Host plants; Learning algorithms; Machine learning; Oomycetes; Oomycetes - metabolism; oomycete–plant interactions; Pathogens; Plant Diseases - microbiology; Plants - microbiology; prediction; Predictions; Proteins; sequence homology; signal peptide; oomycete–plant interactions; fungus–plant interactions

Many fungi and oomycete species are devasting plant pathogens. These eukaryotic filamentous pathogens secrete effector proteins to facilitate plant infection. Fungi and oomycete pathogens have diverse infection strategies and their effectors generally do not share sequence homology. However, they oc...