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Researchers analyzed mutation patterns in 3,034 yeast (Saccharomyces cerevisiae) genomes from global populations, expanding on a previous study of 1,011 genomes. They confirmed previously identified mutation spectrum differences, particularly in African Beer strains, and discovered new variation among wine-associated populations, including a distinctive mutation signature in Georgian Wine strains that appears strongest in rare genetic variants, suggesting recent changes in mutation processes. The study also characterized small insertion and deletion patterns across these genomes using sequence-context-aware methods.
Why it matters
Understanding how mutation patterns vary across yeast populations can reveal the evolutionary forces shaping different strains and inform breeding programs for industrial fermentation. The Georgian Wine population's unique mutation signature provides insight into how domestication and specific environmental conditions influence genome evolution in economically important microorganisms.
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⚠️ Preprint – Noch nicht peer-reviewed
Dieser Artikel wurde noch nicht von unabhängigen Experten begutachtet. Die Ergebnisse sind vorläufig und sollten mit Vorsicht interpretiert werden.
Mutation spectra vary among populations, and a comprehensive view of this variation requires broad sampling and fine-scale population resolution. Here, we profile mutation spectra from single-nucleotide polymorphisms and small insertions and deletions in a uniformly processed collection of 3,034 globally sampled Saccharomyces cerevisiae genomes, and an extended dataset including the previously sampled global 1,011-genome collection. Major mutation spectrum patterns reported from the 1,011 genomes remain evident in the extended dataset, including the pronounced mutation-spectrum differentiation of African Beer strains. At finer population resolution, we identify additional variation among wine-associated populations, including a Georgian Wine-associated signal that is strongest among rare variants and is therefore consistent with a comparatively recent change in mutation processes. We further apply a sequence-context-aware classification to characterize small-indel profiles across the 3,034 natural yeast genomes. Together, our analyses show that expanded sampling and refined population assignments provide a more comprehensive view of mutation-spectrum variation within S. cerevisiae.