Please use this identifier to cite or link to this item: http://cmuir.cmu.ac.th/jspui/handle/6653943832/72283
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dc.contributor.authorIrene Bosmalien_US
dc.contributor.authorGeorgios Lagiotisen_US
dc.contributor.authorNadia Haideren_US
dc.contributor.authorMaslin Osathanunkulen_US
dc.contributor.authorCostas Biliaderisen_US
dc.contributor.authorPanagiotis Madesisen_US
dc.date.accessioned2022-05-27T08:24:37Z-
dc.date.available2022-05-27T08:24:37Z-
dc.date.issued2022-04-01en_US
dc.identifier.issn22237747en_US
dc.identifier.other2-s2.0-85127423215en_US
dc.identifier.other10.3390/plants11070947en_US
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85127423215&origin=inwarden_US
dc.identifier.urihttp://cmuir.cmu.ac.th/jspui/handle/6653943832/72283-
dc.description.abstractMany legume species of the Vicia L. genus (Fabaceae Lindl.) are key components of the Mediterranean diet and have an integral role in sustainable agriculture. Given the importance of the Vicia species for Eurasian culture, it is necessary to implement methodologies, such as DNA barcoding, that can enable the effective authentication and identification of species in the genus. In this study, we analysed the chloroplast trnL and rpoC1, as well as the nuclear ITS2 DNA barcoding regions, to identify 71 Vicia specimens of Eurasian descent. Both the trnL and ITS2 regions were highly effective in discriminating the analysed taxa, while the more conserved rpoC1 region could not identify all of the selected species due to high sequence conservation or non-annotated or absent rpoC1 species sequences in GenBank. A dendrographic representation of the generated trnL data showed sufficient clustering for most of the analysed taxa, although some topological discrepancies were observed. ITS2 and rpoC1 reconstructions were also used for resolving the topological discrepancies observed in the trnL tree. Our analysis suggests that a combination of DNA barcoding regions is essential for accurate species discrimination within the Vicia genus, while single-locus analyses do not provide the necessary resolution.en_US
dc.subjectAgricultural and Biological Sciencesen_US
dc.subjectEnvironmental Scienceen_US
dc.titleDNA-Based Identification of Eurasian Vicia Species Using Chloroplast and Nuclear DNA Barcodesen_US
dc.typeJournalen_US
article.title.sourcetitlePlantsen_US
article.volume11en_US
article.stream.affiliationsAtomic Energy Commission of Syriaen_US
article.stream.affiliationsSchool of Agricultureen_US
article.stream.affiliationsCenter For Research And Technology - Hellasen_US
article.stream.affiliationsUniversity of Thessalyen_US
article.stream.affiliationsChiang Mai Universityen_US
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