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The genetic architecture of low-temperature adaptation in the wine yeast Saccharomyces cerevisiae

Overview of attention for article published in BMC Genomics, February 2017
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Title
The genetic architecture of low-temperature adaptation in the wine yeast Saccharomyces cerevisiae
Published in
BMC Genomics, February 2017
DOI 10.1186/s12864-017-3572-2
Pubmed ID
Authors

Estéfani García-Ríos, Miguel Morard, Leopold Parts, Gianni Liti, José M. Guillamón

Abstract

Low-temperature growth and fermentation of wine yeast can enhance wine aroma and make them highly desirable traits for the industry. Elucidating response to cold in Saccharomyces cerevisiae is, therefore, of paramount importance to select or genetically improve new wine strains. As most enological traits of industrial importance in yeasts, adaptation to low temperature is a polygenic trait regulated by many interacting loci. In order to unravel the genetic determinants of low-temperature fermentation, we mapped quantitative trait loci (QTLs) by bulk segregant analyses in the F13 offspring of two Saccharomyces cerevisiae industrial strains with divergent performance at low temperature. We detected four genomic regions involved in the adaptation at low temperature, three of them located in the subtelomeric regions (chromosomes XIII, XV and XVI) and one in the chromosome XIV. The QTL analysis revealed that subtelomeric regions play a key role in defining individual variation, which emphasizes the importance of these regions' adaptive nature. The reciprocal hemizygosity analysis (RHA), run to validate the genes involved in low-temperature fermentation, showed that genetic variation in mitochondrial proteins, maintenance of correct asymmetry and distribution of phospholipid in the plasma membrane are key determinants of low-temperature adaptation.

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Mendeley readers

The data shown below were compiled from readership statistics for 120 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 1 <1%
Unknown 119 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 24 20%
Student > Bachelor 20 17%
Researcher 14 12%
Student > Master 8 7%
Student > Postgraduate 7 6%
Other 19 16%
Unknown 28 23%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 38 32%
Agricultural and Biological Sciences 27 23%
Immunology and Microbiology 4 3%
Environmental Science 4 3%
Engineering 3 3%
Other 10 8%
Unknown 34 28%