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...

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Bibliographic Details
Main Authors: Patrick V. Phaneuf, James T. Yurkovich, David Heckmann, Muyao Wu, Troy E. Sandberg, Zachary A. King, Justin Tan, Bernhard O. Palsson, Adam M. Feist
Format: Artigo
Language:Inglês
Published: BMC 2020-07-01
Series:BMC Genomics
Subjects:
Adaptive laboratory evolution
Mutation functional analysis
Mutation meta-analysis
Mutation convergence
Multiscale genome annotation
Online Access:http://link.springer.com/article/10.1186/s12864-020-06920-4
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