Genome instability footprint under rapamycin and hydroxyurea treatments

The mutational processes are jointly shaped by genetic backgrounds, environments and their interactions. Accurate quantification of mutation rates and spectra under drugs has important implications in disease treatment. Here, we used yeast mutation accumulation lines (MALs) to profile the genome-wide mutational footprints of two chemotherapy drugs across multiple genetic backgrounds. Together with time-resolved phenotyping, we investigated the mutagenic effects of rapamycin and hydroxyurea and the associated functional implications. In the absence of drug treatment, we observed genetic backgrounds variation in point mutation rates. In rapamycin, we observed comparable or lower mutation rates than in the untreated control. However, we identified frequent chromosome XII amplifications, which compensated for rapamycin induced rDNA repeat contraction on this chromosome and thereby served to maintain rDNA content homeostasis. In hydroxyurea, we detected pervasive mutation rate elevation independent of genetic backgrounds, with high occurrence of aneuploidy that associated with dramatic fitness loss. Hydroxyurea induced a high T-to-G transversion rate that reversed the common G/C-to-A/T bias in yeast, a broad range of structural variants and a mutation footprint consistent with mechanisms of error-prone polymerase activities and NHEJ repair pathways. Taken together, our study provides an in-depth view of mutation rates and signatures in rapamycin and hydroxyurea and their impact on cell fitness, which brings insights for assessing their long-term effects on genome integrity.

[1]  E. Cuppen,et al.  MutationalPatterns: the one stop shop for the analysis of mutational processes , 2021, BMC Genomics.

[2]  Maitreya J. Dunham,et al.  A modified fluctuation assay reveals a natural mutator phenotype that drives mutation spectrum variation within Saccharomyces cerevisiae. , 2021, eLife.

[3]  S. Nik-Zainal,et al.  Mutational signatures: emerging concepts, caveats and clinical applications , 2021, Nature Reviews Cancer.

[4]  T. Nguyen,et al.  Protection of nuclear DNA by lifespan-extending compounds in the yeast Saccharomyces cerevisiae. , 2021, Mutation research.

[5]  Steven L Salzberg,et al.  Liftoff: accurate mapping of gene annotations , 2020, Bioinform..

[6]  Lei S. Qi,et al.  Genome-wide mapping of spontaneous genetic alterations in diploid yeast cells , 2020, Proceedings of the National Academy of Sciences.

[7]  Jing Li,et al.  Slow Growth and Increased Spontaneous Mutation Frequency in Respiratory Deficient afo1- Yeast Suppressed by a Dominant Mutation in ATP3 , 2020, G3.

[8]  S. Loeillet,et al.  Trajectory and uniqueness of mutational signatures in yeast mutators , 2020, Proceedings of the National Academy of Sciences.

[9]  K. Verstrepen,et al.  Ethanol exposure increases mutation rate through error-prone polymerases , 2020, Nature Communications.

[10]  Ruth A. Watson,et al.  Punctuated Aneuploidization of the Budding Yeast Genome , 2020, bioRxiv.

[11]  Gilles Fischer,et al.  MUM&Co: accurate detection of all SV types through whole-genome alignment , 2020, Bioinform..

[12]  G. Liti,et al.  Discordant evolution of mitochondrial and nuclear yeast genomes at population level , 2019, BMC Biology.

[13]  R. Sharan,et al.  Genome architecture and stability in the Saccharomyces cerevisiae knockout collection , 2019, Nature.

[14]  Iñigo Martincorena,et al.  Mutational signatures are jointly shaped by DNA damage and repair , 2019, bioRxiv.

[15]  Weihang Chai,et al.  Genome-wide mapping and profiling of γH2AX binding hotspots in response to different replication stress inducers , 2019, bioRxiv.

[16]  Jianzhi Zhang,et al.  Yeast Spontaneous Mutation Rate and Spectrum Vary with Environment , 2019, Current Biology.

[17]  A. Long,et al.  Shared Molecular Targets Confer Resistance over Short and Long Evolutionary Timescales. , 2019, Molecular biology and evolution.

[18]  S. Morganella,et al.  A Compendium of Mutational Signatures of Environmental Agents , 2019, Cell.

[19]  Ville Mustonen,et al.  The repertoire of mutational signatures in human cancer , 2018, Nature.

[20]  S. Loeillet,et al.  Accurate Tracking of the Mutational Landscape of Diploid Hybrid Genomes , 2018, bioRxiv.

[21]  Maitreya J. Dunham,et al.  Fitness benefits of loss of heterozygosity in Saccharomyces hybrids , 2018, bioRxiv.

[22]  S. Otto,et al.  The genome-wide rate and spectrum of spontaneous mutations differ between haploid and diploid yeast , 2018, Proceedings of the National Academy of Sciences.

[23]  Jia-Xing Yue,et al.  Long-read sequencing data analysis for yeasts , 2017, Nature Protocols.

[24]  Stefan Engelen,et al.  Genome evolution across 1,011 Saccharomyces cerevisiae isolates , 2018, Nature.

[25]  Angela E. Leek,et al.  Allele-Specific HLA Loss and Immune Escape in Lung Cancer Evolution , 2017, Cell.

[26]  M. Engqvist,et al.  Ribonucleotides incorporated by the yeast mitochondrial DNA polymerase are not repaired , 2017, Proceedings of the National Academy of Sciences.

[27]  Ville Mustonen,et al.  Clonal Heterogeneity Influences the Fate of New Adaptive Mutations , 2016, bioRxiv.

[28]  Jing Li,et al.  Contrasting evolutionary genome dynamics between domesticated and wild yeasts , 2017, Nature Genetics.

[29]  Maitreya J. Dunham,et al.  Loss of Heterozygosity Drives Adaptation in Hybrid Yeast , 2017, Molecular biology and evolution.

[30]  P. Mieczkowski,et al.  Global analysis of genomic instability caused by DNA replication stress in Saccharomyces cerevisiae , 2016, Proceedings of the National Academy of Sciences.

[31]  Yoon-La Choi,et al.  Mechanisms and Consequences of Cancer Genome Instability: Lessons from Genome Sequencing Studies. , 2016, Annual review of pathology.

[32]  Gábor E. Tusnády,et al.  A comprehensive survey of the mutagenic impact of common cancer cytotoxics , 2016, Genome Biology.

[33]  S. Omholt,et al.  Scan-o-matic: High-Resolution Microbial Phenomics at a Massive Scale , 2015, G3: Genes, Genomes, Genetics.

[34]  Bernat Gel,et al.  regioneR: an R/Bioconductor package for the association analysis of genomic regions based on permutation tests , 2015, Bioinform..

[35]  Gilles Fischer,et al.  bz-rates: A Web Tool to Estimate Mutation Rates from Fluctuation Analysis , 2015, G3: Genes, Genomes, Genetics.

[36]  J. Houseley,et al.  Regulation of ribosomal DNA amplification by the TOR pathway , 2015, Proceedings of the National Academy of Sciences.

[37]  Gavin Sherlock,et al.  Quantitative evolutionary dynamics using high-resolution lineage tracking , 2015, Nature.

[38]  A. Long,et al.  Standing genetic variation drives repeatable experimental evolution in outcrossing populations of Saccharomyces cerevisiae. , 2014, Molecular biology and evolution.

[39]  David W. Hall,et al.  Precise estimates of mutation rate and spectrum in yeast , 2014, Proceedings of the National Academy of Sciences.

[40]  M. Debatisse,et al.  Spontaneous slow replication fork progression elicits mitosis alterations in homologous recombination-deficient mammalian cells , 2013, Proceedings of the National Academy of Sciences.

[41]  Leopold Parts,et al.  High-Resolution Mapping of Complex Traits with a Four-Parent Advanced Intercross Yeast Population , 2013, Genetics.

[42]  J. Broach,et al.  The Yeast Environmental Stress Response Regulates Mutagenesis Induced by Proteotoxic Stress , 2013, PLoS genetics.

[43]  Michael M. Desai,et al.  Pervasive Genetic Hitchhiking and Clonal Interference in 40 Evolving Yeast Populations , 2013, Nature.

[44]  L. Staudt,et al.  Identification of Early Replicating Fragile Sites that Contribute to Genome Instability , 2013, Cell.

[45]  Rong Li,et al.  Hsp90 Stress Potentiates Rapid Cellular Adaptation through Induction of Aneuploidy , 2012, Nature.

[46]  F. Gourronc,et al.  Mutation Research/Fundamental and Molecular Mechanisms of Mutagenesis , 2012 .

[47]  M. Hall,et al.  Target of Rapamycin (TOR) in Nutrient Signaling and Growth Control , 2011, Genetics.

[48]  Xuan Zhu,et al.  A Hierarchical Combination of Factors Shapes the Genome-wide Topography of Yeast Meiotic Recombination Initiation , 2011, Cell.

[49]  T. Helleday,et al.  Hydroxyurea-Stalled Replication Forks Become Progressively Inactivated and Require Two Different RAD51-Mediated Pathways for Restart and Repair , 2010, Molecular cell.

[50]  W. J. Dickinson,et al.  A genome-wide view of the spectrum of spontaneous mutations in yeast , 2008, Proceedings of the National Academy of Sciences.

[51]  L. Steinmetz,et al.  High-resolution mapping of meiotic crossovers and non-crossovers in yeast , 2008, Nature.

[52]  Andrew W. Murray,et al.  Estimating the Per-Base-Pair Mutation Rate in the Yeast Saccharomyces cerevisiae , 2008, Genetics.

[53]  A. Koc,et al.  Hydroxyurea Arrests DNA Replication by a Mechanism That Preserves Basal dNTP Pools* , 2004, Journal of Biological Chemistry.

[54]  M. Ciriacy,et al.  Gene conversion and reciprocal exchange in a Ty-mediated translocation in yeast , 2004, Current Genetics.

[55]  D. Averbeck,et al.  Characterisation of homologous recombination induced by replication inhibition in mammalian cells , 2020 .