IDENTIFICATION OF LENS CULTIVARS IN MARKET BY MOLECULAR TOOLS: DNA BARCODING AND SSRs

Year 2023, Volume: 24 Issue: 2, 91 - 100, 15.10.2023

Metin Burak Tatlıses Semra Hasancebi

https://doi.org/10.23902/trkjnat.1324202

Abstract

Substitution of plant cultivars of high commercial value with a cheaper, lower quality one is a common fraud committed against consumers and producers. Since it is one of the most widely grown legumes, lentil (Lens culinaris Medik.) is suitable for such frauds. This study aimed to identify lentil cultivars which are registered and authorized in the market in Türkiye by using current molecular methods. For this purpose, 26 lentil cultivars were analyzed for 15 SSR markers and two DNA barcode regions (trnH-psbA and matK). A high allele diversity was observed by 12 scorable SSR markers, and the average number of alleles was determined to be 16. One of the important findings was the presence of “cultivar-specific alleles” that can be used to identify each cultivar in the lentil market in Türkiye. At least one “cultivar-specific allele” was obtained for each cultivar. The lentil cultivars were also analyzed by two DNA barcode regions as trnH-psbA and matK. While it was observed that the rate of the intra-species variation for the trnH-psbA region was low and 26 varieties were divided into 7 groups, higher rate was found for matK and samples were distributed into 14 groups. Nevertheless, it was observed that intra-species discrimination can be made more effective when both loci are used together and 26 species were distributed into 18 different groups. We expect that the results of this study, especially the cultivar-specific SSR alleles and DNA barcoding sequence data may be used routinely to identify production and packaged products that are commercially available in markets.

Keywords

food traceability, DNA barcoding, SSR, Lens culinaris

Supporting Institution

Scientific and Technological Research Council of Turkey (TUBITAK)

Project Number

218O172

Thanks

The authors thank the Scientific and Technological Research Council of Turkey (TUBITAK) for financial support for this study (Project #218O172).

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