Abstract

Although studies of Saccharomyces cerevisiae have provided many insights into mutagenesis and DNA repair, most of this work has focused on a few laboratory strains. Much less is known about the phenotypic effects of natural variation within S. cerevisiae's DNA repair pathways. Here, we use natural polymorphisms to detect historical mutation spectrum differences among several wild and domesticated S. cerevisiae strains. To determine whether these differences are likely caused by genetic mutation rate modifiers, we use a modified fluctuation assay with a CAN1 reporter to measure de novo mutation rates and spectra in 16 of the analyzed strains. We measure a 10-fold range of mutation rates and identify two strains with distinctive mutation spectra. These strains, known as AEQ and AAR, come from the panel's 'Mosaic beer' clade and share an enrichment for C > A mutations that is also observed in rare variation segregating throughout the genomes of several Mosaic beer and Mixed origin strains. Both AEQ and AAR are haploid derivatives of the diploid natural isolate CBS 1782, whose rare polymorphisms are enriched for C > A as well, suggesting that the underlying mutator allele is likely active in nature. We use a plasmid complementation test to show that AAR and AEQ share a mutator allele in the DNA repair gene OGG1, which excises 8-oxoguanine lesions that can cause C > A mutations if left unrepaired.

Highlights

  • A modified fl c a ion a a re eal a na ral m a or pheno pe ha dri e m a ion pec r m aria ion i hin Saccharomyces cerevisiae

  • Seifaaai ec a ia i igh be e d cib e i he ab if iidiebeiea age, bi i f a ic a ifac, e i c ge e ic a, b a a ha he e ia ide if hich g adie f a i ec a ia ce aediebea ge ic diffe e ce

  • Thi ea ha i ca be ed ea eaiaei di id id ai di ec, hich faeic de he Tai a e e ai a d Af ica bee ai ha a e P i ci aceaai (PCA) ie i Fig e 1A

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Summary

Ab rac

Maiae he ce f ge e ic a ia iadaeeiiefei. De i e hei f da e a i a ce, h e e , hei a i a e he eeiead diffic de ec , hich ha i i ed abi i ea e he e e hich a i a ce e a i hi a d be ee ecie. Eeehd ha a e ad a age f high- h gh e e ci g, ch a a i acc a i (MA) a a i hich a ab aaiie ia b e ec ed f a ge e a i , eiiaig effec f a a e ec iadaigai be di ec c ed b e e ci g a he e d f he e e i e. MA die ha e bee ed eiaeaiaeia ide a ie f ga i (L ch a ., 2008; Keigh e a ., 2009; Zh a ., 2014; Fa a ., 2015; Sha a ., 2018; Wa g a ., 2019). Seifaaai ec a ia i igh be e d cib e i he ab if iidiebeiea age , bi i f a ic a ifac , e i c ge e ic a , b a a ha he e ia ide if hich g adie f a i ec a ia ce aediebea ge ic diffe e ce

Re l
Mai f c ai
AAR i be d he c e f hi
Ackno ledgemen
Fl c a ion a a and eq encing
Calc la ion of m a ion ra e
Na a Acad
Va i h

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