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Genome-Wide Quantitative Fitness Analysis (QFA) of Yeast Cultures

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Genome Instability

Part of the book series: Methods in Molecular Biology ((MIMB,volume 1672))

Abstract

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.

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Author information

Authors and Affiliations

  1. Institute for Cell & Molecular Biosciences, Medical School, Newcastle University, Framlington Place, Newcastle upon Tyne, NE2 4HH, UK

    Eva-Maria Holstein, Conor Lawless, Peter Banks & David Lydall

Authors
  1. Eva-Maria Holstein
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  2. Conor Lawless
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  3. Peter Banks
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  4. David Lydall
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Corresponding author

Correspondence to David Lydall .

Editor information

Editors and Affiliations

  1. Dipartimento di Bioscienze, Università degli Studi di Milano, Milano, Milano, Italy

    Marco Muzi-Falconi

  2. Donnelly Centre and Department of Biochemistry, University of Toronto, Toronto, Ontario, Canada

    Grant W Brown

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Holstein, EM., Lawless, C., Banks, P., Lydall, D. (2018). Genome-Wide Quantitative Fitness Analysis (QFA) of Yeast Cultures. In: Muzi-Falconi, M., Brown, G. (eds) Genome Instability. Methods in Molecular Biology, vol 1672. Humana Press, New York, NY. https://doi.org/10.1007/978-1-4939-7306-4_38

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

  • Published:

  • Publisher Name: Humana Press, New York, NY

  • Print ISBN: 978-1-4939-7305-7

  • Online ISBN: 978-1-4939-7306-4

  • eBook Packages: Springer Protocols

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