Causal mutations from adaptive laboratory evolution are outlined by multiple scales of genome annotations and condition-specificity.

ABSTRACT:

Background

Adaptive Laboratory Evolution (ALE) has emerged as an experimental approach to discover mutations that confer phenotypic functions of interest. However, the task of finding and understanding all beneficial mutations of an ALE experiment remains an open challenge for the field. To provide for better results than traditional methods of ALE mutation analysis, this work applied enrichment methods to mutations described by a multiscale annotation framework and a consolidated set of ALE experiment conditions. A total of 25,321 unique genome annotations from various sources were leveraged to describe multiple scales of mutated features in a set of 35 Escherichia coli based ALE experiments. These experiments totalled 208 independent evolutions and 2641 mutations. Additionally, m

SUBMITTER: Phaneuf PV 

PROVIDER: S-EPMC7382830 | biostudies-literature | 2020 Jul

REPOSITORIES: biostudies-literature