Mutation spectra across 3,034 Saccharomyces cerevisiae genomes distinguish the Georgian Wine population
- 1Arizona State University
Abstract
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.
Related
- A non-GMO Saccharomyces cerevisiae × Saccharomyces paradoxus brewing hybrid moderately reduces ethanol production and modifies beer aroma
- Multicellularity and virulence in the budding yeast, Saccharomyces cerevisiae
- The Linker Histone Plays a Dual Role during Gametogenesis in Saccharomyces cerevisiae
- A high-throughput genetic screening protocol to measure lipid bilayer stress-induced unfolded protein response in Saccharomyces cerevisiae
- Characterisation of Saccharomyces cerevisiae and Saccharomyces jurei hybrids for oenological applications
BibTeX
@misc{wheeler2026mutation,
title = {{Mutation spectra across 3,034 Saccharomyces cerevisiae genomes distinguish the Georgian Wine population}},
author = {C. Wheeler and P. Jiang},
howpublished = {bioRxiv},
year = {2026},
month = sep,
doi = {10.64898/2026.09.28.755217},
url = {https://www.biorxiv.org/content/10.64898/2026.09.28.755217v1},
note = {CC BY-NC},
}
RIS
TY - UNPB
TI - Mutation spectra across 3,034 Saccharomyces cerevisiae genomes distinguish the Georgian Wine population
AU - C. Wheeler
AU - P. Jiang
PY - 2026
DA - 2026/09/28
PB - bioRxiv
DO - 10.64898/2026.09.28.755217
UR - https://www.biorxiv.org/content/10.64898/2026.09.28.755217v1
AB - 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.
ER -