Article
Predicting the evolution of Escherichia coli by a data-driven approach.
Nature communications - 3 Sept 2018
Wang Xiaokang, Zorraquino Violeta, Kim Minseung, Tsoukalas Athanasios, Tagkopoulos Ilias
Abstract excerpt
A tantalizing question in evolutionary biology is whether evolution can be predicted from past experiences. To address this question, we created a coherent compendium of more than 15,000 mutation events for the bacterium Escherichia coli under 178 distinct environmental settings. Compendium analysis provides a comprehensive view of the explored environments, mutation hotspots and mutation co-occurrence. While the...
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