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PhyEffector, the first algorithm that identifies classical and non-classical effectors in phytoplasmas
KARLA GISEL CARREON ANGUIANO
SARA ELENA VILA LUNA
Luis Alfonso Sáenz Carbonell
Blondy Beatriz Canto Canché
Acceso Abierto
Atribución-NoComercial-SinDerivadas
https://doi.org/10.3390/biomimetics8070550
PHYTOPLASMAS
CROP PATHOGENS
PHYEFFECTOR ALGORITHM
CLASSICAL AND NON-CLASSICAL EFFECTORS
Phytoplasmas are the causal agents of more than 100 plant diseases in economically important crops. Eleven genomes have been fully sequenced and have allowed us to gain a better understanding of the biology and evolution of phytoplasmas. Effectors are key players in pathogenicity and virulence, and their identification and description are becoming an essential practice in the description of phytoplasma genomes. This is of particular importance because effectors are possible candidates for the development of new strategies for the control of plant diseases. To date, the prediction of effectors in phytoplasmas has been a great challenge; the reliable comparison of effectoromes has been hindered because research teams have used the combination of different programs in their predictions. This is not trivial since significant differences in the results can arise, depending on the predictive pipeline used. Here, we tested different predictive pipelines to create the PhyEffector algorithm; the average value of the F1 score for PhyEffector was 0.9761 when applied to different databases or genomes, demonstrating its robustness as a predictive tool. PhyEffector can recover both classical and non-classical phytoplasma effectors, making it an invaluable tool to accelerate effectoromics in phytoplasmas.
2023
Artículo
Biomimetics. 8, 550, 2023.
Inglés
Carreón-Anguiano, K.G.; Vila-Luna, S.E.; Sáenz-Carbonell, L.; Canto-Canche, B. PhyEffector, the first algorithm that identifies classical and non-classical effectors in phytoplasmas. Biomimetics 2023, 8, 550. https://doi.org/10.3390/biomimetics8070550
BIOLOGÍA MOLECULAR
Versión publicada
publishedVersion - Versión publicada
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