Modeling evolution in a Long Time Evolution Experiment with E. Coli

TL;DR

This paper presents a simulation algorithm based on a Levy Flights evolutionary model to replicate and analyze the dynamics of the Long-Term Evolution Experiment with E. Coli, providing insights into mutation, selection, and genetic phenomena.

Contribution

It introduces a novel algorithm that accurately reproduces key evolutionary behaviors observed in the LTEE with E. Coli, enhancing understanding of microbial evolution.

Findings

Successfully simulated mean fitness progression

Provided new interpretations of fixation and drift

Enhanced understanding of clonal interference and epistasis

Abstract

Taking into account an evolutionary model of mutations in term of Levy Fights that was previously constructed, we designed an algorithm to reproduce the evolutionary dynamics of the Long-Term Evolution Experiment (LTEE) with E. Coli bacteria. The algorithm enables us to simulate mutations under natural selection conditions. The results of simulations on competition of clones, mean fitness, etc., are compared with experimental data. We attained to reproduce the behavior of the mean fitness of the bacteria cultures, get our own interpretations and more tuned descriptions of some phenomena taking part within the experiment, such as fixation and drift processes, clonal interference and epistasis.