2022
DOI: 10.1007/978-1-0716-1971-1_3
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Predicting Type III Effector Proteins Using the Effectidor Web Server

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Cited by 3 publications
(2 citation statements)
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“…Different strategies have been used to classify effectors in other microbial kingdoms. In bacteria, effectors are classified according to the secretion system (type III, type IV) through which they are exported or translocated from the pathogen cell to the host [29,30]. In fungi, effectors that meet certain structural criteria such as small size, high cysteine content, presence of a signal peptide (SP) and absence of transmembrane domains (TMDs) are termed canonical or classical effectors, while those that do not meet some of these criteria are termed noncanonical [31][32][33]; this classification has helped to expand the size of fungal effectoromes, since the noncanonical effectors that were previously discarded contribute significantly to the overall effectorome [32].…”
Section: Introductionmentioning
confidence: 99%
“…Different strategies have been used to classify effectors in other microbial kingdoms. In bacteria, effectors are classified according to the secretion system (type III, type IV) through which they are exported or translocated from the pathogen cell to the host [29,30]. In fungi, effectors that meet certain structural criteria such as small size, high cysteine content, presence of a signal peptide (SP) and absence of transmembrane domains (TMDs) are termed canonical or classical effectors, while those that do not meet some of these criteria are termed noncanonical [31][32][33]; this classification has helped to expand the size of fungal effectoromes, since the noncanonical effectors that were previously discarded contribute significantly to the overall effectorome [32].…”
Section: Introductionmentioning
confidence: 99%
“…We first sequenced the genome of an Israeli isolate of Xhp, combining short and long reads to obtain high quality genome sequence. Next, we applied Effectidor (Wagner et al, 2022a;Wagner et al, 2022b;Wagner et al, 2022c) to predict T3Es in these two genomes. Our results suggested the existence of unknown T3Es in both genomes, i.e., putative T3Es without significant sequence similarity to previously identified effectors.…”
mentioning
confidence: 99%