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Does fingerprinting truly represent the diversity of wine yeasts? A case study with interdelta genotyping ofSaccharomyces cerevisiaestrains
- Source :
- Letters in Applied Microbiology. 63:406-411
- Publication Year :
- 2016
- Publisher :
- Oxford University Press (OUP), 2016.
-
Abstract
- Simple and efficient genotyping methods are widely used to assess the diversity of a large number of microbial strains, e.g. wine yeasts isolated from a specific geographical area or a vintage. Such methods are often also the first to be applied, to decrease the number of strains deemed interesting for a more time-consuming physiological characterization. Here, we aimed to use a physiologically characterized strain collection of 69 Saccharomyces cerevisiae strains from Hungarian wine regions to determine whether geographical origin or physiological similarity can be recovered by clustering the strains with one or two simultaneously used variations of interdelta genotyping. Our results indicate that although a detailed clustering with high resolution can be achieved with this method, the clustering of strains is largely contrasting when different primer sets are used and it does not recover geographical or physiological groups.Genotyping is routinely used for assessing the diversity of a large number of isolates/strains of a single species, e.g. a collection of wine yeasts. We tested the efficiency of interdelta genotyping on a collection of Saccharomyces wine yeasts from four wine regions of Hungary that was previously characterized physiologically. Interdelta fingerprinting recovered neither physiological nor geographical similarities, and in addition, the two different primer pairs widely used for this method showed conflicting and barely comparable results. Thus, this method does not necessarily represent the true diversity of a strain collection, but detailed clustering may be achieved by the combined use of primer sets.
- Subjects :
- 0301 basic medicine
Wine
Vintage
Hungary
Genotype
biology
Geographic area
business.industry
Strain (biology)
Saccharomyces cerevisiae
food and beverages
Biodiversity
Computational biology
biology.organism_classification
Applied Microbiology and Biotechnology
Interdelta
Biotechnology
03 medical and health sciences
030104 developmental biology
Fermentation
Cluster analysis
business
Genotyping
Subjects
Details
- ISSN :
- 02668254
- Volume :
- 63
- Database :
- OpenAIRE
- Journal :
- Letters in Applied Microbiology
- Accession number :
- edsair.doi.dedup.....81dc5933d7c1d1e3ca1ea45065273d54