Global analysis of the yeast knockout phenome

Author:

Turco Gina1ORCID,Chang Christie2,Wang Rebecca Y.1,Kim Griffin1,Stoops Emily H.1ORCID,Richardson Brianna2,Sochat Vanessa3ORCID,Rust Jennifer2,Oughtred Rose2,Thayer Nathaniel1,Kang Fan2ORCID,Livstone Michael S.2ORCID,Heinicke Sven2,Schroeder Mark2,Dolinski Kara J.2ORCID,Botstein David1,Baryshnikova Anastasia1ORCID

Affiliation:

1. Calico Life Sciences LLC, South San Francisco, CA, USA.

2. Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ, USA.

3. Lawrence Livermore National Laboratory, Livermore, CA, USA.

Abstract

Genome-wide phenotypic screens in the budding yeast Saccharomyces cerevisiae , enabled by its knockout collection, have produced the largest, richest, and most systematic phenotypic description of any organism. However, integrative analyses of this rich data source have been virtually impossible because of the lack of a central data repository and consistent metadata annotations. Here, we describe the aggregation, harmonization, and analysis of ~14,500 yeast knockout screens, which we call Yeast Phenome. Using this unique dataset, we characterized two unknown genes ( YHR045W and YGL117W ) and showed that tryptophan starvation is a by-product of many chemical treatments. Furthermore, we uncovered an exponential relationship between phenotypic similarity and intergenic distance, which suggests that gene positions in both yeast and human genomes are optimized for function.

Publisher

American Association for the Advancement of Science (AAAS)

Subject

Multidisciplinary

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