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A dPCR Method for Quantitative Authentication of Wild Lingonberry (Vaccinium vitis-idaea) versus Cultivated American Cranberry (V. macrocarpon).
Karppinen, Katja; Avetisyan, Anna; Hykkerud, Anne Linn; Jaakola, Laura.
Affiliation
  • Karppinen K; Department of Arctic and Marine Biology, UiT the Arctic University of Norway, NO-9037 Tromsø, Norway.
  • Avetisyan A; Department of Arctic and Marine Biology, UiT the Arctic University of Norway, NO-9037 Tromsø, Norway.
  • Hykkerud AL; NIBIO, Norwegian Institute of Bioeconomy Research, Department of Horticulture, NO-1431 Ås, Norway.
  • Jaakola L; NIBIO, Norwegian Institute of Bioeconomy Research, Department of Horticulture, NO-1431 Ås, Norway.
Foods ; 11(10)2022 May 19.
Article in En | MEDLINE | ID: mdl-35627046
Berries of the genus Vaccinium are highly valued health-beneficial superfoods, which are commonly subjected to adulteration and mixed with each other, or with other common berry species. A quantitative DNA-based method utilizing a chip-based digital polymerase chain reaction (dPCR) technique was developed for identifying and quantifying wild lingonberry (V. vitis-idaea) and cultivated American cranberry (V. macrocarpon). The dPCR method with species-specific primers for mini-barcoding was designed based on the indel regions found in the trnI-CAU-trnL-CAA locus in the chloroplast genome. The designed primers were able to amplify only target species, enabling to distinguish the two closely related species with good sensitivity. Our results illustrated the ability of the method to identify lingonberry and American cranberry DNA using PCR without the need for probes or further sequencing. The dPCR method could also quantify the DNA copy number in mixed samples. Based on this study, the method provides a basis for a simple, fast, and sensitive quantitative authentication analysis of lingonberry and American cranberry by dPCR. Moreover, it can also provide a platform for authentication analyses of other plant species as well by utilizing the indel regions of chloroplast genomes.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Foods Year: 2022 Document type: Article Affiliation country: Noruega Country of publication: Suiza

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Foods Year: 2022 Document type: Article Affiliation country: Noruega Country of publication: Suiza