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DOI10.1126/science.abf8424
Environmental robustness of the global yeast genetic interaction network
Costanzo M.; Hou J.; Messier V.; Nelson J.; Rahman M.; VanderSluis B.; Wang W.; Pons C.; Ross C.; Ušaj M.; San Luis B.-J.; Shuteriqi E.; Koch E.N.; Aloy P.; Myers C.L.; Boone C.; Andrews B.
发表日期2021
ISSN0036-8075
卷号372期号:6542
英文摘要Genetic interactions are identified when variants in different genes combine to generate an unusual phenotype compared with the expected combined effect of the corresponding individual variants. For example, a synthetic lethal genetic interaction occurs when two mutations, neither of which is lethal on their own, combine to generate a lethal doublemutant phenotype. Although there are millions of possible gene-gene combinations for any eukaryotic cell, only a rare subset of gene pairs will display a genetic interaction. Digenic, or gene-by-gene (GxG), interactions appear to underlie key aspects of biology, including the relationship between genotype and phenotype. Environmental conditions can modulate the phenotype associated with genetic variants, giving rise to gene-by-environment (GxE) interactions, when a single variant phenotype is modified, or gene-by-gene-by-environment (GxGxE) interactions when a genetic interaction is changed. © 2021 American Association for the Advancement of Science. All rights reserved.
英文关键词eukaryote; gene expression; genetic analysis; genotype; genotype-environment interaction; phenotype; article; eukaryotic cell; gene interaction; genetic variability; nonhuman; phenotype; yeast; allele; gene regulatory network; genetics; genotype environment interaction; mutation; reproductive fitness; Saccharomyces cerevisiae; Eukaryota; Saccharomyces cerevisiae protein; Alleles; Gene Regulatory Networks; Gene-Environment Interaction; Genetic Fitness; Mutation; Saccharomyces cerevisiae; Saccharomyces cerevisiae Proteins
语种英语
来源期刊Science
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/243407
作者单位Donnelly Centre, University of Toronto, 160 College Street, Toronto, ON M5S 3E1, Canada; Department of Computer Science and Engineering, University of Minnesota- Twin Cities, 200 Union Street, Minneapolis, MN 55455, United States; Program in Biomedical Informatics and Computational Biology, University of Minnesota-Twin Cities, 200 Union Street, Minneapolis, MN 55455, United States; Institute for Research in Biomedicine (IRB Barcelona), Barcelona Institute for Science and Technology, Barcelona, Spain; Institució Catalana de Recerca i Estudis Avaçats (ICREA), Barcelona, Spain; Department of Molecular Genetics, University of Toronto, 160 College Street, Toronto, ON M5S 3E1, Canada; RIKEN Center for Sustainable Resource Science, Saitama, Japan
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Costanzo M.,Hou J.,Messier V.,et al. Environmental robustness of the global yeast genetic interaction network[J],2021,372(6542).
APA Costanzo M..,Hou J..,Messier V..,Nelson J..,Rahman M..,...&Andrews B..(2021).Environmental robustness of the global yeast genetic interaction network.Science,372(6542).
MLA Costanzo M.,et al."Environmental robustness of the global yeast genetic interaction network".Science 372.6542(2021).
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