Project A3

Predicting evolutionary shifts of cell metabolism

Michael Lässig, U Cologne | web | email

We predict evolutionary changes of bacterial metabolism in response to drug action or environmental challenges. Predictions will be grounded on fitness models that treat external challenge and intrinsic evolutionary response as correlated perturbations of the cell’s metabolic network. The project builds upon previous work on cross-lineage fitness landscapes and involves collaborations with projects A1 and A6.

Predictability in Evolution

Collaborative Research Center 1310


Two modes of evolution shape bacterial strain diversity in the mammalian gut for thousands of generations

Frazão N., Konrad A., Amicone M., Seixas E., Güleresi D., Lässig M. and Gordo I., Nature Communications, 23. September 2022,

Metabolic fitness landscapes predict the evolution of antibiotic resistance

Pinheiro, F., Warsi, O., Andersson, D.I., Lässig M., Nat Ecol Evol, 4. March 2021,

Adaptive evolution of hybrid bacteria by horizontal gene transfer

Power J.J., Pinheiro F., Pompei S., Kovacova V., Yüksel M., Rathmann I., Förster M., Lässig M., Maier B., PNAS 11, 118 (10), 9. March 2021,

Horizontal gene transfer overrides mutation in Escherichia coli colonizing the mammalian gut

Frazão N., Sousa A., Lässig M., and Gordo I., PNAS:201906958, 20. August 2019,

Survival of the simplest in microbial evolution

Held T., Klemmer D., Lässig M., Nature Communications 10: 2472, 6. June 2019,

Adaptive Evolution of Gene Expression in Drosophila

Nourmohammad A., Rambeau J., Held T., Kovacova V., Berg J., Lässig M., Cell Reports Volume 20 Issue 6: 1385 - 1395, 8. August 2017,        

Predicting evolution

Lässig M., Mustonen V., Walczak A., Nature Ecol. Evol. 1:0077, 21. February 2017,