Jan 21, 2015

Empirical determinants of adaptive mutations in yeast experimental evolution

BioRxiv : the Preprint Server for Biology
Celia PayenMaitreya J Dunham

Abstract

High-throughput sequencing technologies have enabled expansion of the scope of genetic screens to identify mutations that underlie quantitative phenotypes, such as fitness improvements that occur during the course of experimental evolution. This new capability has allowed us to describe the relationship between fitness and genotype at a level never possible before, and ask deeper questions, such as how genome structure, available mutation spectrum, and other factors drive evolution. Here we combined functional genomics and experimental evolution to first map on a genome scale the distribution of potential beneficial mutations available as a first step to an evolving population and then compare these to the mutations actually observed in order to define the constraints acting upon evolution. We first constructed a single-step fitness landscape for the yeast genome by using barcoded gene deletion and overexpression collections, competitive growth in continuous culture, and barcode sequencing. By quantifying the relative fitness effects of thousands of single-gene amplifications or deletions simultaneously we revealed the presence of hundreds of accessible evolutionary paths. To determine the actual mutation spectrum used in evolu...Continue Reading

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Mentioned in this Paper

Gene Polymorphism
Pathological Fracture
Gene Amplification
Genome
Genes
Neoplastic Cell
Competition With Other Organism
Genetic Screening (Procedure)
Gene Deletion Abnormality
Gene Deletion

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