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Lookup NU author(s): Dr Eva-Maria Holstein, Dr Conor LawlessORCiD, Dr Andrew Banks, Professor David Lydall
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© 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.
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
