کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4362922 1616261 2014 7 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Multiplex variable number of tandem repeats for Oenococcus oeni and applications
موضوعات مرتبط
علوم زیستی و بیوفناوری علوم کشاورزی و بیولوژیک دانش تغذیه
پیش نمایش صفحه اول مقاله
Multiplex variable number of tandem repeats for Oenococcus oeni and applications
چکیده انگلیسی


• A multiplex fragment length analysis (FLA) method was developed based on five polymorphic loci of the Oenococcus oeni genome.
• FLA proved to be robust, accurate, fast, and easy to perform.
• FLA was associated with phenotypic and genotypic characters to construct predictive models.

Oenococcus oeni is responsible for the malolactic fermentation of wine. Genomic diversity has already been established in this species. In addition, winemakers usually report varying starter-culture efficiency. It is essential to monitor indigenous and selected strains in order to understand strain survival and development during the winemaking process. A previous article described a variable number of tandem repeats (VNTR) scheme, based on five polymorphic loci of the genome. VNTR typing of O. oeni was highly discriminating, faster, and more reliable than the PFGE or MLST methods. The objective of this study was to set up a faster protocol by multiplexing, taking advantage of the high performance of multicolor capillary electrophoresis. The primers were labeled with multiple fluorescent dyes. PCR conditions were adapted by multiplexing amplifications in two separate PCR mixtures for the five loci, both at the same annealing temperature. The resulting assay proved to be robust, accurate, fast and easy to perform. Thanks to this new protocol, all O. oeni strains used in the study were typed using the five tandem repeats (TR). As expected, the primers for the five TR loci were specific to O. oeni. The method was improved to analyze isolated and mixed colonies, as well as bacteria harvested from wine using fast technology for analysis of nucleic acids (FTA®) technology. Finally, predictive models were constructed, to predict phylogenetic relationships and associate bacterial strain resistance to freeze-drying with fragment length analysis (FLA) profiles and genotypic and phenotypic characters.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Food Microbiology - Volume 38, April 2014, Pages 80–86
نویسندگان
, ,