The budding yeast, Saccharomyces cerevisiae, has been widely used for genetic studies of fundamental cellular functions. The isolation and analysis of yeast mutants is a commonly used and powerful technique to identify the genes that are involved in a process of interest. Furthermore, natural genetic variation among wild yeast strains has been studied for analysis of polygenic traits by quantitative trait loci mapping. Whole-genome sequencing, often combined with bulk segregant analysis, is a powerful technique that helps determine the identity of mutations causing a phenotype. Here, we describe protocols for the construction of libraries for S. cerevisiae whole-genome sequencing. We also present a bioinformatic pipeline to determine the genetic variants in a yeast strain using whole-genome sequencing data. This pipeline can also be used for analyzing Schizosaccharomyces pombe mutants.
The budding yeast, Saccharomyces cerevisiae, has been widely used for genetic studies of fundamental cellular functions. The isolation and analysis of yeast mutants is a commonly used and powerful technique to identify the genes that are involved in a process of interest. Furthermore, natural genetic variation among wild yeast strains has been studied for analysis of polygenic traits by quantitative trait loci mapping. Whole-genome sequencing, often combined with bulk segregant analysis, is a powerful technique that helps determine the identity of mutations causing a phenotype. Here, we describe protocols for the construction of libraries for S. cerevisiae whole-genome sequencing. We also present a bioinformatic pipeline to determine the genetic variants in a yeast strain using whole-genome sequencing data. This pipeline can also be used for analyzing Schizosaccharomyces pombe mutants.
Authors: Aaron McKenna; Matthew Hanna; Eric Banks; Andrey Sivachenko; Kristian Cibulskis; Andrew Kernytsky; Kiran Garimella; David Altshuler; Stacey Gabriel; Mark Daly; Mark A DePristo Journal: Genome Res Date: 2010-07-19 Impact factor: 9.043
Authors: Mark A DePristo; Eric Banks; Ryan Poplin; Kiran V Garimella; Jared R Maguire; Christopher Hartl; Anthony A Philippakis; Guillermo del Angel; Manuel A Rivas; Matt Hanna; Aaron McKenna; Tim J Fennell; Andrew M Kernytsky; Andrey Y Sivachenko; Kristian Cibulskis; Stacey B Gabriel; David Altshuler; Mark J Daly Journal: Nat Genet Date: 2011-04-10 Impact factor: 38.330
Authors: J Michael Cherry; Eurie L Hong; Craig Amundsen; Rama Balakrishnan; Gail Binkley; Esther T Chan; Karen R Christie; Maria C Costanzo; Selina S Dwight; Stacia R Engel; Dianna G Fisk; Jodi E Hirschman; Benjamin C Hitz; Kalpana Karra; Cynthia J Krieger; Stuart R Miyasato; Rob S Nash; Julie Park; Marek S Skrzypek; Matt Simison; Shuai Weng; Edith D Wong Journal: Nucleic Acids Res Date: 2011-11-21 Impact factor: 16.971
Authors: Mitchell A Ellison; Jennifer L Walker; Patrick J Ropp; Jacob D Durrant; Karen M Arndt Journal: G3 (Bethesda) Date: 2020-09-02 Impact factor: 3.154