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A genome wide dosage suppressor network reveals genomic robustness
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2017 (English)In: Nucleic Acids Research, ISSN 0305-1048, E-ISSN 1362-4962, Vol. 45, no 1, p. 255-270Article in journal (Refereed) Published
Abstract [en]

Genomic robustness is the extent to which an organism has evolved to withstand the effects of deleterious mutations. We explored the extent of genomic robustness in budding yeast by genome wide dosage suppressor analysis of 53 conditional lethal mutations in cell division cycle and RNA synthesis related genes, revealing 660 suppressor interactions of which 642 are novel. This collection has several distinctive features, including high cooccurrence of mutant-suppressor pairs within protein modules, highly correlated functions between the pairs and higher diversity of functions among the co-suppressors than previously observed. Dosage suppression of essential genes encoding RNA polymerase subunits and chromosome cohesion complex suggests a surprising degree of functional plasticity of macromolecular complexes, and the existence of numerous degenerate pathways for circumventing the effects of potentially lethal mutations. These results imply that organisms and cancer are likely able to exploit the genomic robustness properties, due the persistence of cryptic gene and pathway functions, to generate variation and adapt to selective pressures. © 2016 The Author(s).

Place, publisher, year, edition, pages
Oxford University Press , 2017. Vol. 45, no 1, p. 255-270
Keywords [en]
RNA polymerase, RNA polymerase II, Saccharomyces cerevisiae protein, Article, bacterial strain, cell cycle regulation, cell division, correlational study, DNA replication, gene expression, gene function, gene interaction, gene repression, genetic analysis, genetic parameters, genome wide dosage suppressor, genomic robustness, microarray analysis, mutant, protein analysis, protein interaction, RNA processing, RNA synthesis, Saccharomyces cerevisiae, biology, fungal genome, gene dosage, gene expression profiling, gene expression regulation, gene regulatory network, genetics, lethal gene, metabolism, mutation, reproductive fitness, Computational Biology, Gene Expression Regulation, Fungal, Gene Regulatory Networks, Genes, Lethal, Genetic Fitness, Genome, Fungal, Saccharomyces cerevisiae Proteins
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Biochemistry and Molecular Biology
Identifiers
URN: urn:nbn:se:du-37173DOI: 10.1093/nar/gkw1148Scopus ID: 2-s2.0-85016085549OAI: oai:DiVA.org:du-37173DiVA, id: diva2:1557892
Available from: 2021-05-27 Created: 2021-05-27 Last updated: 2021-05-27Bibliographically approved

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Hintze, Arend

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CiteExportLink to record
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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • chicago-author-date
  • chicago-note-bibliography
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
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  • text
  • asciidoc
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