Literature DB >> 21863493

Competition experiments coupled with high-throughput analyses for functional genomics studies in yeast.

Daniela Delneri1.   

Abstract

Competition experiments are an effective way to provide a measurement of the fitness of yeast strains. The availability of the Saccharomyces cerevisiae yeast knock-out (YKO) deletion collection allows scientists to retrieve fitness data for the ~6,000 S. cerevisiae genes at the same time in a given environment. The molecular barcodes, characterizing each yeast mutant, serve as strain identifiers, which can be detected in a single microarray analysis. Competition experiments in continuous culture using chemically defined media allow a more specific discrimination of the strains based on their fitness profile. With this high-throughput approach, a series of genes that, when one allele is missing, result in either defective (haplo-insufficient) or favored (haplo-proficient) growth phenotype have been discovered, for each nutrient-limiting condition tested. While haplo-insufficient genes seemed to overlap largely across all the media used, the haplo-proficient ones seem to be more environment specific. For example, genes involved in the protein secretion pathway were highly haplo-insufficient in all the contexts, whereas most of the genes encoding for proteasome components showed a haplo-proficient phenotype specific to nitrogen-limiting conditions. In this chapter, the method used for implementation of competition experiments for high-throughput studies in yeast is presented.

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Year:  2011        PMID: 21863493     DOI: 10.1007/978-1-61779-173-4_16

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  5 in total

1.  Large-scale profiling of noncoding RNA function in yeast.

Authors:  Steven Parker; Marcin G Fraczek; Jian Wu; Sara Shamsah; Alkisti Manousaki; Kobchai Dungrattanalert; Rogerio Alves de Almeida; Edith Invernizzi; Tim Burgis; Walid Omara; Sam Griffiths-Jones; Daniela Delneri; Raymond T O'Keefe
Journal:  PLoS Genet       Date:  2018-03-12       Impact factor: 5.917

2.  Chimeric protein complexes in hybrid species generate novel phenotypes.

Authors:  Elzbieta M Piatkowska; Samina Naseeb; David Knight; Daniela Delneri
Journal:  PLoS Genet       Date:  2013-10-03       Impact factor: 5.917

3.  Characterization and prediction of haploinsufficiency using systems-level gene properties in yeast.

Authors:  Matthew Norris; Simon Lovell; Daniela Delneri
Journal:  G3 (Bethesda)       Date:  2013-11-06       Impact factor: 3.154

Review 4.  Predicting complex phenotype-genotype interactions to enable yeast engineering: Saccharomyces cerevisiae as a model organism and a cell factory.

Authors:  Duygu Dikicioglu; Pınar Pir; Stephen G Oliver
Journal:  Biotechnol J       Date:  2013-08-23       Impact factor: 4.677

5.  Environmental systems biology of cold-tolerant phenotype in Saccharomyces species adapted to grow at different temperatures.

Authors:  Caroline Mary Paget; Jean-Marc Schwartz; Daniela Delneri
Journal:  Mol Ecol       Date:  2014-11       Impact factor: 6.185

  5 in total

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