Year: 2016
Type: article
Abstract: 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 co-occurrence 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.
Source: Nucleic Acids Research
DOI: 10.1093/nar/gkw1148
Authors: Biranchi Patra, Yoshiko Kon, Gitanjali Yadav, Anthony W. Sevold, Jesse P. Frumkin, Ravishankar R. Vallabhajosyula, Arend Hintze, Bjørn Østman, Jory Schossau, Ashish Bhan, Bruz Marzolf, Jenna K. Tamashiro, Amardeep Kaur, Nitin S. Baliga, Elizabeth J. Grayhack, Christoph Adami, David J. Galas, Alpan Raval, Eric M. Phizicky, Animesh Ray
Language: English
Subfield: Genetics
Domain: Life Sciences
Open Access status: gold
Estimated APC paid: $3,992
Awards: BiologicalNetworks: Integrated Environment for Systems Biology, Hand-held confocal line-scanner for intrasurgical use, Bayesian Support Vector Machines for the Prediction of Molecular-Genetic Network Motifs Across Organisms, Real-Time Coupling of Gene Networks in Single Cells, FIBR: Structure and Origins of Functional Modules, G7421025926
OpenAlex ID: W2559659752