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Related Experiment Video

Updated: Jun 29, 2026

Agroinfiltration and PVX Agroinfection in Potato and Nicotiana benthamiana

Agroinfiltration and PVX Agroinfection in Potato and Nicotiana benthamiana

Published on: January 3, 2014

PhyEffector, the First Algorithm That Identifies Classical and Non-Classical Effectors in Phytoplasmas.

Karla Gisel Carreón-Anguiano¹, Sara Elena Vila-Luna¹, Luis Sáenz-Carbonell¹

¹Unidad de Biotecnología, Centro de Investigación Científica de Yucatán, A.C., Calle 43 No. 130 x 32 y 34, Colonia Chuburná de Hidalgo, Mérida C.P. 97205, Yucatán, Mexico.

Biomimetics (Basel, Switzerland)

|November 24, 2023

Summary

Phytoplasmas cause over 100 plant diseases. A new tool, PhyEffector, accurately predicts phytoplasma effectors, aiding in understanding plant diseases and developing control strategies.

Keywords:

PhyEffector algorithm classical and non-classical effectors crop pathogens phytoplasmas

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Last Updated: Jun 29, 2026

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Published on: January 20, 2017

Area of Science:

Plant pathology
Microbiology
Genomics

Background:

Phytoplasmas are bacteria causing significant crop diseases.
Understanding phytoplasma effectors is crucial for disease control.
Current effector prediction methods lack standardization, hindering comparative analysis.

Purpose of the Study:

To develop a robust and standardized algorithm for predicting phytoplasma effectors.
To overcome challenges in effectorome comparison due to varied prediction pipelines.
To accelerate the study of phytoplasma effector functions and evolution.

Main Methods:

Evaluation of various effector prediction pipelines.
Development of the PhyEffector algorithm based on tested pipelines.
Validation of PhyEffector using diverse databases and genomes.

Main Results:

The PhyEffector algorithm demonstrated high robustness with an average F1 score of 0.9761.
PhyEffector successfully identified both known and novel phytoplasma effectors.
The algorithm provides consistent and reliable effector predictions across different datasets.

Conclusions:

PhyEffector is a reliable tool for accurate phytoplasma effector prediction.
This algorithm will advance effectoromics research in phytoplasmas.
PhyEffector facilitates the development of novel strategies for managing phytoplasma-induced plant diseases.