Back to Search Start Over

Identification of different classes of genome instability suppressor genes through analysis of DNA damage response markers.

Authors :
Li, Bin-Zhong
Kolodner, Richard D
Putnam, Christopher D
Source :
G3: Genes | Genomes | Genetics. Jun2024, Vol. 14 Issue 6, p1-14. 14p.
Publication Year :
2024

Abstract

Cellular pathways that detect DNA damage are useful for identifying genes that suppress DNA damage, which can cause genome instability and cancer predisposition syndromes when mutated. We identified 199 high-confidence and 530 low-confidence DNA damage-suppressing (DDS) genes in Saccharomyces cerevisiae through a whole-genome screen for mutations inducing Hug1 expression, a focused screen for mutations inducing Ddc2 foci, and data from previous screens for mutations causing Rad52 foci accumulation and Rnr3 induction. We also identified 286 high-confidence and 394 low-confidence diverse genome instability-suppressing (DGIS) genes through a whole-genome screen for mutations resulting in increased gross chromosomal rearrangements and data from previous screens for mutations causing increased genome instability as assessed in a diversity of genome instability assays. Genes that suppress both pathways (DDS+ DGIS+) prevent or repair DNA replication damage and likely include genes preventing collisions between the replication and transcription machineries. DDS+ DGIS− genes, including many transcription-related genes, likely suppress damage that is normally repaired properly or prevent inappropriate signaling, whereas DDS− DGIS+ genes, like PIF1 , do not suppress damage but likely promote its proper, nonmutagenic repair. Thus, induction of DNA damage markers is not a reliable indicator of increased genome instability, and the DDS and DGIS categories define mechanistically distinct groups of genes. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
21601836
Volume :
14
Issue :
6
Database :
Academic Search Index
Journal :
G3: Genes | Genomes | Genetics
Publication Type :
Academic Journal
Accession number :
177947343
Full Text :
https://doi.org/10.1093/g3journal/jkae064