Author

E. Liljeroth

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Evolutionary Biology· 1 Microbiology· 1 Plant Biology· 1

Signature Assays, Organisms & Methods

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Organism:plant (other)· 2 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Approach:experimental assay· 1 Organism:fungi (other)· 1 Research Focus:host-pathogen & immune response· 1 Assay:imaging· 1 Approach:statistical model· 1

Frequent Co-Authors

P. J. Wolters· 2 shared V. G. A. A. Vleeshouwers· 2 shared A. Lankinen· 1 shared E. Alexandersson· 1 shared E. Andreasson· 1 shared E. H. R. Sundmark· 1 shared H. Hausladen· 1 shared J. C. Westergaard· 1 shared

Activity by Year

2020-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 17 mutual co-author links

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2 shared papersMicrobiology

P. J. Wolters

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Double trouble or a blessing in disguise? Co-infection of potato with the causal agents of late and early blight

S. M. Brouwer, P. J. Wolters, E. Andreasson, E. Liljeroth, V. G. A. A. Vleeshouwers, L. J. Grenville-Briggs

This study investigates how two potato pathogens, Alternaria solani and Phytophthora infestans, interact when co-infected, finding that A. solani inhibits P. infestans growth and infection in both lab and field settings.

bioRxiv · May 31, 2022Microbiology

Whole genome sequencing elucidates the species-wide diversity and evolution of fungicide resistance in the early blight pathogen Alternaria solani

S. Einspanier, T. Susanto, N. Metz, P. J. Wolters, V. G. A. A. Vleeshouwers, A. Lankinen, E. Liljeroth, S. Landschoot, Z. Ivanovic, R. Hückelhoven, H. Hausladen, R. Stam

This study uses whole-genome sequencing to analyze the genetic diversity and evolution of fungicide resistance in Alternaria solani across Europe, finding that SDHI resistance mutations arose independently in different genetic backgrounds.

bioRxiv · Jun 28, 2021Evolutionary Biology

Automatic late blight lesion recognition and severity quantification based on field imagery of diverse potato genotypes by deep learning

J. Gao, J. C. Westergaard, E. H. R. Sundmark, M. Bagge, E. Liljeroth, E. Alexandersson

This study uses deep learning to segment late blight lesions in potato field images and quantify disease severity, achieving high background segmentation accuracy and moderate lesion detection.

bioRxiv · Aug 27, 2020Plant Biology