Large-scale genomic analyses with machine learning uncover predictive patterns associated with fungal phytopathogenic lifestyles and traits

Large-scale genomic analyses with machine learning uncover predictive patterns associated with fungal phytopathogenic lifestyles and traits

Abstract Invasive plant pathogenic fungi have a global impact, with devastating economic and environmental effects on crops and forests. Biosurveillance, a critical component of threat mitigation, requires risk prediction based on fungal lifestyles and traits. Recent studies have revealed distinct g...

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Bibliographic Details
Main Authors: E. N. Dort, E. Layne, N. Feau, A. Butyaev, B. Henrissat, F. M. Martin, S. Haridas, A. Salamov, I. V. Grigoriev, M. Blanchette, R. C. Hamelin
Format: Article
Language:English
Published: Nature Portfolio 2023-10-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-023-44005-w

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https://doi.org/10.1038/s41598-023-44005-w

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