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

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 e...

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Autores principales: Bosmali, Irene, Lagiotis, Georgios, Haider, Nadia, Osathanunkul, Maslin, Biliaderis, Costas, Madesis, Panagiotis
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9003045/
https://www.ncbi.nlm.nih.gov/pubmed/35406927
http://dx.doi.org/10.3390/plants11070947
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author Bosmali, Irene
Lagiotis, Georgios
Haider, Nadia
Osathanunkul, Maslin
Biliaderis, Costas
Madesis, Panagiotis
author_facet Bosmali, Irene
Lagiotis, Georgios
Haider, Nadia
Osathanunkul, Maslin
Biliaderis, Costas
Madesis, Panagiotis
author_sort Bosmali, Irene
collection PubMed
description 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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spelling pubmed-90030452022-04-13 DNA-Based Identification of Eurasian Vicia Species Using Chloroplast and Nuclear DNA Barcodes Bosmali, Irene Lagiotis, Georgios Haider, Nadia Osathanunkul, Maslin Biliaderis, Costas Madesis, Panagiotis Plants (Basel) Article 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. MDPI 2022-03-31 /pmc/articles/PMC9003045/ /pubmed/35406927 http://dx.doi.org/10.3390/plants11070947 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Bosmali, Irene
Lagiotis, Georgios
Haider, Nadia
Osathanunkul, Maslin
Biliaderis, Costas
Madesis, Panagiotis
DNA-Based Identification of Eurasian Vicia Species Using Chloroplast and Nuclear DNA Barcodes
title DNA-Based Identification of Eurasian Vicia Species Using Chloroplast and Nuclear DNA Barcodes
title_full DNA-Based Identification of Eurasian Vicia Species Using Chloroplast and Nuclear DNA Barcodes
title_fullStr DNA-Based Identification of Eurasian Vicia Species Using Chloroplast and Nuclear DNA Barcodes
title_full_unstemmed DNA-Based Identification of Eurasian Vicia Species Using Chloroplast and Nuclear DNA Barcodes
title_short DNA-Based Identification of Eurasian Vicia Species Using Chloroplast and Nuclear DNA Barcodes
title_sort dna-based identification of eurasian vicia species using chloroplast and nuclear dna barcodes
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9003045/
https://www.ncbi.nlm.nih.gov/pubmed/35406927
http://dx.doi.org/10.3390/plants11070947
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