More than the sum of the parts
TWINCORE researchers show role of epistatic interaction in the omicron variant of SARS-CoV-2 virus .
Bacteriology
Galardini Lab
Projects
Galardini Lab
Bacteriology
Genotype to phenotype studies in bacteria
By applying statistical genetics methods to pathogen genome sequences, we aim to identify and validate genetic determinants of phenotypes such as pathogenicity, virulence and antibiotic resistance, e.g. in E. coli and P. aeruginosa.
Galardini Lab
Bacteriology
Testing the impact of genetic backgrounds on antimicrobial resistance
Population genetic studies show that genetic variability between bacterial strains can influence the evolution of antimicrobial resistance. Using automated laboratory evolution (ALE), we are investigating how genetic backgrounds control AMR evolution.
Galardini Lab
Bacteriology
Pangenome wide prediction of gene function
Thanks to high-throughput sequencing, genome sequences of hundreds of bacterial strains can be analyzed efficiently, revealing differences of up to 60 % in gene content, as in E. coli. With the help of machine learning, we want to better predict the functions of accessory genes and decipher their contribution to survival in specialized niches.
Posts
How does an intestinal germ become a pathogen?
Scientists are looking for a connection between bacterial genes and disease severity
Better prediction of bacterial properties
News from the RESIST Cluster of Excellence
New research group "Systems Biology of Microbial Communities" launched at TWINCORE
RESIST professorship for Marco Galardini
