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Genomic Sequence Diversity and Population Structure of Saccharomyces cerevisiae Assessed by RAD-seq

TLDR
This paper applied a multiplexed, reduced genome sequencing strategy (restriction site−associated sequencing or RAD-seq) to genotype a large collection of S. cerevisiae strains isolated from a wide range of geographical locations and environmental niches, finding diversity among these strains is principally organized by geography, with European, North American, Asian, and African populations defining the major axes of genetic variation.
Abstract
The budding yeast Saccharomyces cerevisiae is important for human food production and as a model organism for biological research. The genetic diversity contained in the global population of yeast strains represents a valuable resource for a number of fields, including genetics, bioengineering, and studies of evolution and population structure. Here, we apply a multiplexed, reduced genome sequencing strategy (restriction site−associated sequencing or RAD-seq) to genotype a large collection of S. cerevisiae strains isolated from a wide range of geographical locations and environmental niches. The method permits the sequencing of the same 1% of all genomes, producing a multiple sequence alignment of 116,880 bases across 262 strains. We find diversity among these strains is principally organized by geography, with European, North American, Asian, and African/S. E. Asian populations defining the major axes of genetic variation. At a finer scale, small groups of strains from cacao, olives, and sake are defined by unique variants not present in other strains. One population, containing strains from a variety of fermentations, exhibits high levels of heterozygosity and a mixture of alleles from European and Asian populations, indicating an admixed origin for this group. We propose a model of geographic differentiation followed by human-associated admixture, primarily between European and Asian populations and more recently between European and North American populations. The large collection of genotyped yeast strains characterized here will provide a useful resource for the broad community of yeast researchers.

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The 100-genomes strains, an S. cerevisiae resource that illuminates its natural phenotypic and genotypic variation and emergence as an opportunistic pathogen

TL;DR: Most phenotypic variation in S. cerevisiae strains is found to be quantitative and identified population, genotype, and phenotype associations, suggesting that copper resistance contributes to fitness in the human host.
Journal ArticleDOI

A High-Definition View of Functional Genetic Variation from Natural Yeast Genomes

TL;DR: It is found that genome content variation, in the form of presence or absence as well as copy number of genetic material, is higher inside S. cerevisiae than within S. paradoxus, despite genetic distances as measured in single-nucleotide polymorphisms being vastly smaller within the former species.
Journal ArticleDOI

Distinct Domestication Trajectories in Top-Fermenting Beer Yeasts and Wine Yeasts.

TL;DR: The results revealed that top-fermenting beer yeasts are polyphyletic, with a main clade composed of at least three subgroups, dominantly represented by the German, British, and wheat beer strains.
Journal ArticleDOI

The genomic and phenotypic diversity of Schizosaccharomyces pombe

TL;DR: The fission yeast Schizosaccharomyces pombe is an important model for eukaryotic biology, but researchers typically use one standard laboratory strain, so this analysis represents a rich resource to examine genotype-phenotype relationships in a tractable model.
References
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Journal ArticleDOI

The Sequence Alignment/Map format and SAMtools

TL;DR: SAMtools as discussed by the authors implements various utilities for post-processing alignments in the SAM format, such as indexing, variant caller and alignment viewer, and thus provides universal tools for processing read alignments.
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Fast and accurate short read alignment with Burrows–Wheeler transform

TL;DR: Burrows-Wheeler Alignment tool (BWA) is implemented, a new read alignment package that is based on backward search with Burrows–Wheeler Transform (BWT), to efficiently align short sequencing reads against a large reference sequence such as the human genome, allowing mismatches and gaps.
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MEGA5: Molecular Evolutionary Genetics Analysis using Maximum Likelihood, Evolutionary Distance, and Maximum Parsimony Methods

TL;DR: The newest addition in MEGA5 is a collection of maximum likelihood (ML) analyses for inferring evolutionary trees, selecting best-fit substitution models, inferring ancestral states and sequences, and estimating evolutionary rates site-by-site.
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CLUMPP: a cluster matching and permutation program for dealing with label switching and multimodality in analysis of population structure

TL;DR: Three algorithms for aligning multiple replicate analyses of the same data set using the computer program CLUMPP (CLUster Matching and Permutation Program) are described.
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