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GPD1 and ADH3 Natural Variants Underlie Glycerol Yield Differences in Wine Fermentation

Overview of attention for article published in Frontiers in Microbiology, July 2018
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (72nd percentile)
  • Good Attention Score compared to outputs of the same age and source (72nd percentile)

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Title
GPD1 and ADH3 Natural Variants Underlie Glycerol Yield Differences in Wine Fermentation
Published in
Frontiers in Microbiology, July 2018
DOI 10.3389/fmicb.2018.01460
Pubmed ID
Authors

Sebastián M. Tapia, Mara Cuevas, Valentina Abarca, Verónica Delgado, Vicente Rojas, Verónica García, Claire Brice, Claudio Martínez, Francisco Salinas, Luis F. Larrondo, Francisco A. Cubillos

Abstract

Glycerol is one of the most important by-products of alcohol fermentation, and depending on its concentration it can contribute to wine flavor intensity and aroma volatility. Here, we evaluated the potential of utilizing the natural genetic variation of non-coding regions in budding yeast to identify allelic variants that could modulate glycerol phenotype during wine fermentation. For this we utilized four Saccharomyces cerevisiae strains (WE - Wine/European, SA - Sake, NA - North American, and WA - West African), which were previously profiled for genome-wide Allele Specific Expression (ASE) levels. The glycerol yields under Synthetic Wine Must (SWM) fermentations differed significantly between strains; WA produced the highest glycerol yields while SA produced the lowest yields. Subsequently, from our ASE database, we identified two candidate genes involved in alcoholic fermentation pathways, ADH3 and GPD1, exhibiting significant expression differences between strains. A reciprocal hemizygosity assay demonstrated that hemizygotes expressing GPD1WA , GPD1SA , ADH3WA and ADH3SA alleles had significantly greater glycerol yields compared to GPD1WE and ADH3WE . We further analyzed the gene expression profiles for each GPD1 variant under SWM, demonstrating that the expression of GPD1WE occurred earlier and was greater compared to the other alleles. This result indicates that the level, timing, and condition of expression differ between regulatory regions in the various genetic backgrounds. Furthermore, promoter allele swapping demonstrated that these allele expression patterns were transposable across genetic backgrounds; however, glycerol yields did not differ between wild type and modified strains, suggesting a strong trans effect on GPD1 gene expression. In this line, Gpd1 protein levels in parental strains, particularly Gpd1pWE, did not necessarily correlate with gene expression differences, but rather with glycerol yield where low Gpd1pWE levels were detected. This suggests that GPD1WE is influenced by recessive negative post-transcriptional regulation which is absent in the other genetic backgrounds. This dissection of regulatory mechanisms in GPD1 allelic variants demonstrates the potential to exploit natural alleles to improve glycerol production in wine fermentation and highlights the difficulties of trait improvement due to alternative trans-regulation and gene-gene interactions in the different genetic background.

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Geographical breakdown

Country Count As %
Unknown 40 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 8 20%
Researcher 8 20%
Student > Ph. D. Student 6 15%
Other 4 10%
Professor > Associate Professor 2 5%
Other 4 10%
Unknown 8 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 14 35%
Biochemistry, Genetics and Molecular Biology 9 23%
Chemistry 2 5%
Medicine and Dentistry 2 5%
Energy 1 3%
Other 3 8%
Unknown 9 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 19 July 2018.
All research outputs
#4,822,617
of 23,508,125 outputs
Outputs from Frontiers in Microbiology
#4,898
of 25,950 outputs
Outputs of similar age
#90,796
of 328,869 outputs
Outputs of similar age from Frontiers in Microbiology
#197
of 718 outputs
Altmetric has tracked 23,508,125 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 25,950 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.3. This one has done well, scoring higher than 81% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 328,869 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.
We're also able to compare this research output to 718 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.