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| Status |
Public on Mar 31, 2015 |
| Title |
Evolutionary engineering of a wine yeast strain revealed a key role of inositol and mannoprotein metabolism during low-temperature fermentation |
| Platform organisms |
Schizosaccharomyces pombe; Saccharomyces cerevisiae |
| Sample organism |
Saccharomyces cerevisiae |
| Experiment type |
Expression profiling by array
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| Summary |
Wine produced at low temperature is often considered to improve sensory qualities. However, there are certain drawbacks to low temperature fermentations: e.g. low growth rate, long lag phase, and sluggish or stuck fermentations. Selection and development of new Saccharomyces cerevisiae strains well adapted at low temperature is interesting for future biotechnological applications. This study aimed to select and develop wine yeast strains that well adapt to ferment at low temperature through evolutionary engineering, and to decipher the process underlying the obtained phenotypes. To this end, we used a pool of 27 commercial yeast strains and set up batch serial dilution experiments to mimic wine fermentation conditions at 12 ºC. Evolutionary engineering was accomplished by using the natural yeast mutation rate and mutagenesis procedures. One strain (P5) outcompeted the others under both experimental conditions and was able to impose after 200 generations. The evolved strains showed improved growth and low-temperature fermentation performance compared to the ancestral strain. This improvement was acquired only under inositol limitation. The transcriptomic comparison between the evolved and parental strains showed the greatest up-regulation in four mannoprotein coding genes, which belong to the DAN/TIR family (DAN1, TIR1, TIR4 and TIR3). Genome sequencing of the evolved strain revealed the presence of a SNP in the GAA1 gene and the construction of a site-directed mutant (GAA1Thr108) in a derivative haploid of the ancestral strain resulted in improved fermentation performance. GAA1 encodes a GPI transamidase complex subunit that adds GPI, which is required for inositol synthesis, to newly synthesized proteins, including mannoproteins. Thus we demonstrate the importance of inositol and mannoproteins in yeast adaptation at low temperature and the central role of the GAA1 gene by linking both metabolisms.
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| Overall design |
The first aim of this study was to assess the most competitive strains that grow under wine fermentation conditions at low temperature. To this end, we performed a growth competition assay with 27 commercial wine strains inoculated at equal population size in synthetic grape must. In spite of the economical and industrial importance of these strains, their phenotypic variation in the main enological traits, particularly those related to optimum growth temperature, and their ability to adapt to low temperature fermentation have been poorly investigated. The second goal was to obtain an improved strain to grow and ferment at low temperature by evolutionary engineering. For this purpose, we maintained growth competition in synthetic grape must during 200 generations to select for the mutations that produce phenotypes with improved growth in this medium. One of these evolved cultures was previously treated with ethyl methanesulfonate (EMS) to increase the mutation rate. Finally, we aimed to decipher the molecular basis underlying this improvement by analyzing the genomic and transcriptional differences between the parental strain and the strain evolved at low temperature.
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| Contributor(s) |
López-Malo M, García-Ríos E, Melgar B, Sanchez MR, Dunham MJ, Guillamón JM |
| Citation(s) |
26194190 |
| Submission date |
Mar 30, 2015 |
| Last update date |
Feb 21, 2017 |
| Contact name |
Estéfani García-Ríos |
| E-mail(s) |
garciariosestefani@gmail.com
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| Organization name |
Institute of Agrochemistry and Food Technology (IATA-CSIC)
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| Department |
Biotechnology
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| Lab |
303
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| Street address |
Avenue Agustín Escardino, 7
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| City |
Paterna |
| State/province |
Valencia |
| ZIP/Postal code |
46980 |
| Country |
Spain |
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| Platforms (1) |
| GPL2529 |
[Yeast_2] Affymetrix Yeast Genome 2.0 Array |
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| Samples (6)
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| Relations |
| BioProject |
PRJNA279874 |
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