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Genome-wide Quantitative Fitness Analysis (QFA) of yeast cultures

Lookup NU author(s): Dr Eva-Maria Holstein, Dr Conor Lawless, Professor David Lydall

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Abstract

© 2018, Springer Science+Business Media LLC. We provide a detailed protocol for robot-assisted, genome-wide measurement of fitness in the model yeast Saccharomyces cerevisiae using Quantitative Fitness Analysis (QFA). We first describe how we construct thousands of double or triple mutant yeast strains in parallel using Synthetic Genetic Array (SGA) procedures. Strains are inoculated onto solid agar surfaces by liquid spotting followed by repeated photography of agar plates. Growth curves are constructed and the fitness of each strain is estimated. Robot-assisted QFA, can be used to identify genetic interactions and chemical sensitivity/resistance in genome-wide experiments, but QFA can also be used in smaller scale, manual workflows.


Publication metadata

Author(s): Holstein E-M, Lawless C, Banks P, Lydall D

Editor(s): Marco Muzi-Falconi, Grant W Brown

Publication type: Book Chapter

Publication status: Published

Book Title: Genome Instability: Methods and Protocols

Year: 2018

Volume: 1672

Pages: 575-597

Online publication date: 17/10/2017

Acceptance date: 02/04/2016

Series Title: Methods in Molecular Biology

Publisher: Humana Press Inc.

Place Published: New York

URL: https://doi.org/10.1007/978-1-4939-7306-4_38

DOI: 10.1007/978-1-4939-7306-4_38

Library holdings: Search Newcastle University Library for this item

ISBN: 9781493973057


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