ArticleScientific reports2018
Alternative SNP detection platforms, HRM and biosensors, for varietal identification in Vitis vinifera L. using F3H and LDOX genes.
Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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7 citing papers in PubMed.
- Machine Learning Model Stability for Sub-Regional Classification of Barossa Valley Shiraz Wine Using A-TEEM Spectroscopy.Foods (Basel, Switzerland) · 2024Article
- TaqMan® and HRM approaches for SNP genotyping in genetic traceability of musts and wines.Current research in food science · 2024Article
- Development of KASP markers, SNP fingerprinting and population genetic analysis ofFrontiers in plant science · 2024Article
- Integrated Approach from Sample-to-Answer for Grapevine Varietal Identification on a Portable Graphene Sensor Chip.ACS sensors · 2023Article
- A Multidisciplinary Fingerprinting Approach for Authenticity and Geographical Traceability of Portuguese Wines.Foods (Basel, Switzerland) · 2021Article
- Methodological Approaches to DNA Authentication of Foods, Wines and Raw Materials for Their Production.Foods (Basel, Switzerland) · 2021Article
- Integration of advanced technologies for plant variety and cultivar identification.Journal of biosciences · 2021Review
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7 authors.
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Abstract
The wine sector requires quick and reliable methods for Vitis vinifera L. varietal identification. The number of V. vinifera varieties is estimated in about 5,000 worldwide. Single Nucleotide Polymorphisms (SNPs) represent the most basic and abundant form of genetic sequence variation, being adequate for varietal discrimination. The aim of this work was to develop DNA-based assays suitable to detect SNP variation in V. vinifera, allowing varietal discrimination. Genotyping by sequencing allowed the detection of eleven SNPs on two genes of the anthocyanin pathway, the flavanone 3-hydroxylase (F3H, EC: 1.14.11.9), and the leucoanthocyanidin dioxygenase (LDOX, EC 1.14.11.19; synonym anthocyanidin synthase, ANS) in twenty V. vinifera varieties. Three High Resolution Melting (HRM) assays were designed based on the sequencing information, discriminating five of the 20 varieties: Alicante Bouschet, Donzelinho Tinto, Merlot, Moscatel Galego and Tinta Roriz. Sanger sequencing of the HRM assay products confirmed the HRM profiles. Three probes, with different lengths and sequences, were used as bio-recognition elements in an optical biosensor platform based on a long period grating (LPG) fiber optic sensor. The label free platform detected a difference of a single SNP using genomic DNA samples. The two different platforms were successfully applied for grapevine varietal identification.
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