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1.
FEMS Yeast Res ; 16(3)2016 May.
Article in English | MEDLINE | ID: mdl-26945894

ABSTRACT

Different natural yeast populations have faced dissimilar selective pressures due to the heterogeneous fermentation substrates available around the world; this increases the genetic and phenotypic diversity in Saccharomyces cerevisiae In this context, we expect prominent differences between isolates when exposed to a particular condition, such as wine or sake musts. To better comprehend the mechanisms underlying niche adaptation between two S. cerevisiae isolates obtained from wine and sake fermentation processes, we evaluated fermentative and fungicide resistance phenotypes and identify the molecular origin of such adaptive variation. Multiple regions were associated with fermentation rate under different nitrogen conditions and fungicide resistance, with a single QTL co-localizing in all traits. Analysis around this region identified RIM15 as the causative locus driving fungicide sensitivity, together with efficient nitrogen utilization and glycerol production in the wine strain. A null RIM15 variant confers a greater fermentation rate through the utilization of available glucose instead of its storage. However, this variant has a detrimental effect on fungicide resistance since complex sugars are not synthesized and transported into the membrane. Together, our results reveal the antagonist pleiotropic nature of a RIM15 null variant, positively affecting a series of fermentation related phenotypes, but apparently detrimental in the wild.


Subject(s)
Alcoholic Beverages/microbiology , Drug Resistance, Fungal , Fermentation , Protein Kinases/genetics , Protein Kinases/metabolism , Saccharomyces cerevisiae Proteins/genetics , Saccharomyces cerevisiae Proteins/metabolism , Saccharomyces cerevisiae/physiology , Stress, Physiological , Fungicides, Industrial/metabolism , Gene Deletion , Saccharomyces cerevisiae/genetics , Saccharomyces cerevisiae/isolation & purification
2.
Sci Rep ; 6: 21849, 2016 Feb 22.
Article in English | MEDLINE | ID: mdl-26898953

ABSTRACT

Linkage mapping studies in model organisms have typically focused their efforts in polymorphisms within coding regions, ignoring those within regulatory regions that may contribute to gene expression variation. In this context, differences in transcript abundance are frequently proposed as a source of phenotypic diversity between individuals, however, until now, little molecular evidence has been provided. Here, we examined Allele Specific Expression (ASE) in six F1 hybrids from Saccharomyces cerevisiae derived from crosses between representative strains of the four main lineages described in yeast. ASE varied between crosses with levels ranging between 28% and 60%. Part of the variation in expression levels could be explained by differences in transcription factors binding to polymorphic cis-regulations and to differences in trans-activation depending on the allelic form of the TF. Analysis on highly expressed alleles on each background suggested ASN1 as a candidate transcript underlying nitrogen consumption differences between two strains. Further promoter allele swap analysis under fermentation conditions confirmed that coding and non-coding regions explained aspartic and glutamic acid consumption differences, likely due to a polymorphism affecting Uga3 binding. Together, we provide a new catalogue of variants to bridge the gap between genotype and phenotype.


Subject(s)
Aspartate-Ammonia Ligase/genetics , Gene Expression Regulation, Fungal , Genome, Fungal , Promoter Regions, Genetic , Saccharomyces cerevisiae Proteins/genetics , Saccharomyces cerevisiae/genetics , Transcription Factors/genetics , Alleles , Aspartate-Ammonia Ligase/metabolism , Base Sequence , Chimera , Crosses, Genetic , DNA-Binding Proteins/genetics , DNA-Binding Proteins/metabolism , Genetic Association Studies , Genetic Variation , Inheritance Patterns , Nitrogen/metabolism , Open Reading Frames , Quantitative Trait Loci , Saccharomyces cerevisiae/metabolism , Saccharomyces cerevisiae Proteins/metabolism , Transcription Factors/metabolism
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