Genomic Instability and Adaptive Evolution Induced by RFA Insufficiency in Saccharomyces cerevisiae

This study systematically investigated the genomic alterations in <i>Saccharomyces cerevisiae</i> driven by Replication Factor A (RFA) dosage insufficiency using a promoter-replacement strategy combined with mutation accumulation and whole-genome sequencing. Our findings reveal that transcriptional suppression of <i>RFA2</i> or <i>RFA3</i> leads to severe growth inhibition. RFA deficiency induces a distinct mutational spectrum characterized by a high frequency of monosomy and terminal deletions, indicative of severe replication stress. Furthermore, loss of heterozygosity is significantly enriched at centromeres and high-GC regions, underscoring the role of RFA in stabilizing intrinsic genomic barriers. Utilizing an APOBEC3B-induced mutagenesis assay, we demonstrate that RFA insufficiency leads to the extensive accumulation of exposed ssDNA with a distinct bias towards the lagging strand template. Notably, we observed that cells spontaneously inactivate Mismatch Repair (MMR) genes, such as <i>MSH2</i> and <i>PMS1</i>, to survive RFA-induced stress. This hypermutant phenotype grants a certain degree of growth recovery on Low Galactose (LG) medium. Overall, these findings demonstrate that RFA dosage is a key determinant of genomic integrity and elucidate how repair pathway modulation drives adaptive evolution under replication stress.

Authors

Institutions

Publication Details

Journal
Current Issues in Molecular Biology
Published
2026-01-30
DOI
https://doi.org/10.3390/cimb48020158
Primary Topic
DNA Repair Mechanisms
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Genomic Instability and Adaptive Evolution Induced by RFA Insufficiency in Saccharomyces cerevisiae

Min He, Liyan Tian, Kejing Li, R Zhang
Current Issues in Molecular Biology
DNA Repair Mechanisms
article

Genomic Instability and Adaptive Evolution Induced by RFA Insufficiency in Saccharomyces cerevisiae

Min He, Liyan Tian, Kejing Li, R Zhang
article en

Abstract

This study systematically investigated the genomic alterations in <i>Saccharomyces cerevisiae</i> driven by Replication Factor A (RFA) dosage insufficiency using a promoter-replacement strategy combined with mutation accumulation and whole-genome sequencing. Our findings reveal that transcriptional suppression of <i>RFA2</i> or <i>RFA3</i> leads to severe growth inhibition. RFA deficiency induces a distinct mutational spectrum characterized by a high frequency of monosomy and terminal deletions, indicative of severe replication stress. Furthermore, loss of heterozygosity is significantly enriched at centromeres and high-GC regions, underscoring the role of RFA in stabilizing intrinsic genomic barriers. Utilizing an APOBEC3B-induced mutagenesis assay, we demonstrate that RFA insufficiency leads to the extensive accumulation of exposed ssDNA with a distinct bias towards the lagging strand template. Notably, we observed that cells spontaneously inactivate Mismatch Repair (MMR) genes, such as <i>MSH2</i> and <i>PMS1</i>, to survive RFA-induced stress. This hypermutant phenotype grants a certain degree of growth recovery on Low Galactose (LG) medium. Overall, these findings demonstrate that RFA dosage is a key determinant of genomic integrity and elucidate how repair pathway modulation drives adaptive evolution under replication stress.

Current Issues in Molecular BiologyVol. 48(2)
Zhejiang Ocean University (CN), Zhejiang University (CN)
Openalex Percentile: Top 72%
DNA Repair Mechanisms
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.