Literature DB >> 24838886

Identification of mutations in laboratory-evolved microbes from next-generation sequencing data using breseq.

Daniel E Deatherage1, Jeffrey E Barrick.   

Abstract

Next-generation DNA sequencing (NGS) can be used to reconstruct eco-evolutionary population dynamics and to identify the genetic basis of adaptation in laboratory evolution experiments. Here, we describe how to run the open-source breseq computational pipeline to identify and annotate genetic differences found in whole-genome and whole-population NGS data from haploid microbes where a high-quality reference genome is available. These methods can also be used to analyze mutants isolated in genetic screens and to detect unintended mutations that may occur during strain construction and genome editing.

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Year:  2014        PMID: 24838886      PMCID: PMC4239701          DOI: 10.1007/978-1-4939-0554-6_12

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  18 in total

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