Fatty Acid Composition of the Seeds of Some Vicia Species

Çaçan, Erdal; Kökten, Kağan; İnci, Hakan; Daş, Aydın; Şengül, Ahmet Yusuf

doi:10.1007/s10600-016-1867-1

Cited by 8 publications

(2 citation statements)

References 7 publications

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“…The genus Vicia L. belongs to the Fabaceae (Leguminosae) family and is the third largest family of flowering plants worldwide. Approximately 150–210 species are distributed across Europe, Asia, and North America, and the majority of species is found in the Mediterranean ( Cacan et al, 2016 ; Al-Joboury, 2017 ). To date, approximately 17–21 Vicia species have been reported in Korea ( Lee, 1996 ; Choi, 2007 ; Nam et al, 2012 ).…”

Section: Introductionmentioning

confidence: 99%

Identification of Vicia Species Native to South Korea Using Molecular and Morphological Characteristics

et al. 2021

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Recently, within the Fabaceae family, the Vicia genus has been recognized for its vital role in sustainable agriculture. Vicia species are economically important grain and forage crops. However, the presence of complex morphological characteristics makes identification and recognition of native species difficult. In this study, the possibility of using DNA barcoding regions (ITS2, matK, and rbcL) to distinguish among 19 Vicia taxa (59 accessions) found in South Korea was evaluated. The sequence alignment analysis revealed considerable nucleotide diversity (π) between the loci, in which ITS2 showed the highest mean interspecific distance, whereas there was no intraspecific variability among the barcode regions in 12 of the 19 taxa. Phylogenetic analysis of combined barcoding regions revealed well-resolved phylogeny with the highest species level discrimination. Combinations of barcode loci were also used in classification at the subgenera and section levels. The results revealed that the combined barcoding regions can be used effectively to differentiate the following species: Vicia angustifolia var. segetilis, Vicia bungei, Vicia villosa, Vicia cracca, Vicia dasycarpa, Vicia hirsuta, Vicia tetrasperma, Vicia amurensis, Vicia hirticalycina, and Vicia chosenensis. However, it is difficult to differentiate the species of Vicia unijuga, Vicia unijuga var. kaussanensis, Vicia linearifolia, Vicia unijuga f. angustifolia, Vicia nipponica, Vicia amoena, Vicia venosa var. cuspidata, Vicia pseudo-orobus, and Vicia japonica with the tested barcode regions. These species come under sect. Vicilla and are found to be closely related or species that have recently undergone speciation; thus, it has limitation to distinguish with recommended barcodes. Hence, to differentiate the unclassified species, 39 morphological characteristics were investigated, in which 16 useful characteristics were selected for efficient classification. Finally, the 16 selected morphological useful traits efficiently differentiated all the Vicia species. In conclusion, a combination of barcoding loci together with morphological characteristics of this study efficiently discriminated all the Korean Vicia species.

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Section: Introductionmentioning

confidence: 99%

Identification of Vicia Species Native to South Korea Using Molecular and Morphological Characteristics

et al. 2021

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“…Fed. genera [ 13 ], and likely originated in the eastern Mediterranean region during the Miocene, dispersing several times into Eurasia, and a few times to the American and African continents [ 14 , 15 ].…”

Section: Introductionmentioning

confidence: 99%

DNA-Based Identification of Eurasian Vicia Species Using Chloroplast and Nuclear DNA Barcodes

Bosmali

Lagiotis

Haider

et al. 2022

Plants

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Many 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.

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