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Significant conservation of synthetic lethal genetic interaction networks between distantly related eukaryotes.
Dixon, Scott J; Fedyshyn, Yaroslav; Koh, Judice L Y; Prasad, T S Keshava; Chahwan, Charly; Chua, Gordon; Toufighi, Kiana; Baryshnikova, Anastasija; Hayles, Jacqueline; Hoe, Kwang-Lae; Kim, Dong-Uk; Park, Han-Oh; Myers, Chad L; Pandey, Akhilesh; Durocher, Daniel; Andrews, Brenda J; Boone, Charles.
Afiliação
  • Dixon SJ; Banting and Best Department of Medical Research and Department of Molecular Genetics, Terrence Donnelly Centre for Cellular and Biomolecular Research, University of Toronto, 160 College Street, Room 1330, Toronto, ON, Canada M5S 3E1.
Proc Natl Acad Sci U S A ; 105(43): 16653-8, 2008 Oct 28.
Article em En | MEDLINE | ID: mdl-18931302
ABSTRACT
Synthetic lethal genetic interaction networks define genes that work together to control essential functions and have been studied extensively in Saccharomyces cerevisiae using the synthetic genetic array (SGA) analysis technique (ScSGA). The extent to which synthetic lethal or other genetic interaction networks are conserved between species remains uncertain. To address this question, we compared literature-curated and experimentally derived genetic interaction networks for two distantly related yeasts, Schizosaccharomyces pombe and S. cerevisiae. We find that 23% of interactions in a novel, high-quality S. pombe literature-curated network are conserved in the existing S. cerevisiae network. Next, we developed a method, called S. pombe SGA analysis (SpSGA), enabling rapid, high-throughput isolation of genetic interactions in this species. Direct comparison by SpSGA and ScSGA of approximately 220 genes involved in DNA replication, the DNA damage response, chromatin remodeling, intracellular transport, and other processes revealed that approximately 29% of genetic interactions are common to both species, with the remainder exhibiting unique, species-specific patterns of genetic connectivity. We define a conserved yeast network (CYN) composed of 106 genes and 144 interactions and suggest that this network may help understand the shared biology of diverse eukaryotic species.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Filogenia / Redes Reguladoras de Genes / Genes Fúngicos Idioma: En Ano de publicação: 2008 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Filogenia / Redes Reguladoras de Genes / Genes Fúngicos Idioma: En Ano de publicação: 2008 Tipo de documento: Article