%ABajić, Djordje [Department of Ecology and Evolutionary Biology, Yale University, New Haven, CT 06511,, Microbial Sciences Institute, Yale University West Campus, West Haven, CT 06516,]%ABajić, Djordje%AVila, Jean%AVila, Jean [Department of Ecology and Evolutionary Biology, Yale University, New Haven, CT 06511,, Microbial Sciences Institute, Yale University West Campus, West Haven, CT 06516,]%ABlount, Zachary [BEACON Center for the Study of Evolution in Action, Michigan State University, East Lansing, MI 48824,, Department of Microbiology and Molecular Genetics, Michigan State University, East Lansing, MI 48824,, Department of Biology, Kenyon College, Gambier OH 43022]%ABlount, Zachary%ASánchez, Alvaro [Department of Ecology and Evolutionary Biology, Yale University, New Haven, CT 06511,, Microbial Sciences Institute, Yale University West Campus, West Haven, CT 06516,]%ASánchez, Alvaro%BJournal Name: Proceedings of the National Academy of Sciences; Journal Volume: 115; Journal Issue: 44; Related Information: CHORUS Timestamp: 2022-06-07 14:15:58 %D2018%IProceedings of the National Academy of Sciences %JJournal Name: Proceedings of the National Academy of Sciences; Journal Volume: 115; Journal Issue: 44; Related Information: CHORUS Timestamp: 2022-06-07 14:15:58 %K %MOSTI ID: 10077308 %PMedium: X %TOn the deformability of an empirical fitness landscape by microbial evolution %XSignificance

Fitness landscapes map the relationship between genotype and phenotype, and are a core tool for predicting evolutionary processes from the emergence of resistant pathogens to cancer. The topography of fitness landscapes is determined by the environment. However, populations can also dynamically modify their environment, for instance by releasing metabolites to it, and thus they may potentially deform their own adaptive landscape. Using a combination of genome-scale metabolic simulations and experiments withEscherichia colistrains from the Lenski laboratory Long-Term Evolution Experiment, we systematically and quantitatively characterize the deformability of an empirical fitness landscape. We show that fitness landscapes retain their power to forecast evolution over short mutational distances but environment building may attenuate this capacity over longer adaptive trajectories.

%0Journal Article