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 | 1077 | 2015 |
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 | 248 | 2016 |
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 | 211 | 2017 |
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 | 205 | 2018 |
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 | 123 | 2016 |
Comparative analyses of secreted proteins in plant pathogenic smut fungi and related basidiomycetes M Schuster, G Schweizer, R Kahmann Fungal Genetics and Biology, 2017 | 103 | 2017 |
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 | 51 | 2018 |
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 | 45 | 2018 |
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 | 15 | 2014 |
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 | 11 | 2021 |
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 | 5 | 2020 |
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 | 2 | 2021 |