What we do
In the Evolutionary Systems Biology Group, we study the evolution and evolvability of biological systems at all levels of biological organization, from genes and genomes to biological networks and whole organisms. We develop bioinformatics tools to integrate data from a variety of sources, including comparative whole-genome sequence data, microarray expression data, and high-throughput protein interaction data. Our work uses comparative analysis of genomic data, laboratory evolution experiments and mathematical modelling.
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Main publications 2019
- Zheng J et al.
Cryptic genetic variation accelerates evolution by opening access to diverse adaptive peaks
Science, doi: 10.1126/science.aax1837 - van Gestel J et al.
Microbial life cycles link global modularity in regulation to mosaic evolution
Nature Ecology and Evolution, https://doi.org/10.1038/s41559-019-0939-6 - Payne JL & Wagner Andreas
The causes of evolvability and their evolution
Nature Reviews Genetics, https://doi.org/10.1038/s41576-018-0069-z
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