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Gabriel Schweizer
Gabriel Schweizer
Bestätigte E-Mail-Adresse bei ieu.uzh.ch
Titel
Zitiert von
Zitiert von
Jahr
Fungal effectors and plant susceptibility
L Lo Presti, D Lanver, G Schweizer, S Tanaka, L Liang, M Tollot, ...
Annual review of plant biology 66, 513-545, 2015
10892015
Genome editing in Ustilago maydis using the CRISPR–Cas system
M Schuster, G Schweizer, S Reissmann, R Kahmann
Fungal Genetics and Biology 89, 3-9, 2016
2492016
Ustilago maydis effectors and their impact on virulence
D Lanver, M Tollot, G Schweizer, LL Presti, S Reissmann, LS Ma, ...
Nature Reviews Microbiology 15 (7), 409-421, 2017
2132017
The biotrophic development of Ustilago maydis studied by RNAseq analysis
D Lanver, AN Müller, P Happel, G Schweizer, FB Haas, M Franitza, ...
The Plant Cell 29 (12), 2018
2072018
A tale of genome compartmentalization: the evolution of virulence clusters in smut fungi
JY Dutheil, G Mannhaupt, G Schweizer, C MK Sieber, M Münsterkötter, ...
Genome biology and evolution 8 (3), 681-704, 2016
1232016
Comparative analyses of secreted proteins in plant pathogenic smut fungi and related basidiomycetes
M Schuster, G Schweizer, R Kahmann
Fungal Genetics and Biology, 2017
1042017
Neofunctionalization of the secreted Tin2 effector in the fungal pathogen Ustilago maydis
S Tanaka, G Schweizer, N Rössel, F Fukada, M Thines, R Kahmann
Nature microbiology, 1, 2018
522018
Positively selected effector genes and their contribution to virulence in the smut fungus Sporisorium reilianum
G Schweizer, K Münch, G Mannhaupt, J Schirawski, R Kahmann, ...
Genome Biology and Evolution 10 (2), 629–645, 2018
452018
AraC/XylS Family Stress Response Regulators Rob, SoxS, PliA, and OpiA in the Fire Blight Pathogen Erwinia amylovora
D Pletzer, G Schweizer, H Weingart
Journal of bacteriology 196 (17), 3098-3110, 2014
152014
Population Genomics of the Maize Pathogen Ustilago maydis: Demographic History and Role of Virulence Clusters in Adaptation
G Schweizer, MB Haider, GV Barroso, N Rössel, K Münch, R Kahmann, ...
Genome Biology and Evolution 13 (5), evab073, 2021
112021
Genotype networks of 80 quantitative Arabidopsis thaliana phenotypes reveal phenotypic evolvability despite pervasive epistasis
G Schweizer, A Wagner
PLOS Computational Biology 16 (8), e1008082, 2020
52020
Both binding strength and evolutionary accessibility affect the population frequency of transcription factor binding sequences in Arabidopsis thaliana
G Schweizer, A Wagner
Genome biology and evolution, 2021
22021
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