| Literature DB >> 35524128 |
Stephan Kamrad1,2,3, Jürg Bähler4, Markus Ralser5,6.
Abstract
Colony fitness screens are powerful approaches for functional genomics and genetics. This protocol describes experimental and computational procedures for assaying the fitness of thousands of microbial strains in numerous conditions in parallel. Data analysis is based on pyphe, an all-in-one bioinformatics toolbox for scanning, image analysis, data normalization, and interpretation. We describe a standard protocol where endpoint colony areas are used as fitness proxy and two variations on this, one using colony growth curves and one using colony viability staining with phloxine B. Different strategies for experimental design, normalization and quality control are discussed. Using these approaches, it is possible to collect hundreds of thousands of data points, with low technical noise levels around 5%, in an experiment typically lasting 2 weeks or less.Entities:
Keywords: Cell viability; Colony; Fitness; Functional genomics; Growth curve; Large-scale phenotyping; Microbiology; Phenomics; Python software; Screen
Mesh:
Year: 2022 PMID: 35524128 DOI: 10.1007/978-1-0716-2257-5_21
Source DB: PubMed Journal: Methods Mol Biol ISSN: 1064-3745