High Resolution Melting (HRM) Genotyping in the Genus Origanum: Molecular Identification and Discrimination for Authentication Purposes.
Biochem Genet
; 58(5): 725-737, 2020 Oct.
Article
em En
| MEDLINE
| ID: mdl-32394225
ABSTRACT
Origanum L. (Lamiaceae) is an important genus of medicinal and aromatic plants used since ancient times as culinary herbs and remedies in traditional medicine. Although it is a relatively small genus, intra-generic species delineation, as well as its inter-generic relationships within tribe Mentheae, are still poorly understood. High resolution melting (HRM) analysis, coupled with microsatellite markers (SSRs), could facilitate the molecular identification and characterization of certain genotypes more efficiently and relatively faster when compared to other analytical methods. In this study, 38 Origanum samples corresponding to six Origanum taxa (O. dictamnus, O. majorana, O. onites, O. scabrum, O. sipyleum, and O. vulgare subsp. hirtum) were analyzed, using six microsatellite loci. Our goal was to molecularly identify and discriminate among the selected samples and to evaluate the ability of the HRM technique as an analytical tool for the discrimination of Origanum species from Greece. The temperature-shifted melting curves produced by the HRM analysis, resulted in 98 unique HRM profiles, which enabled the discrimination of the Origanum genotypes studied. According to the similarity dendrogram based on the HRM profiles, six unique clusters were formed, each one corresponding to a single taxon. In conclusion, HRM genotyping provided a fast, cost-effective method, well suited for the molecular characterization and identification of Origanum taxa and for the authentication of the original genetic material.
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Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
DNA de Plantas
/
Repetições de Microssatélites
/
Origanum
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Técnicas de Genotipagem
Tipo de estudo:
Diagnostic_studies
/
Prognostic_studies
País/Região como assunto:
Europa
Idioma:
En
Revista:
Biochem Genet
Ano de publicação:
2020
Tipo de documento:
Article