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Should DNA sequence be incorporated with other taxonomical data for routine identifying of plant species?

BACKGROUND: A variety of plants in Acanthaceae have long been used in traditional Thai ailment and commercialised with significant economic value. Nowadays medicinal plants are sold in processed forms and thus morphological authentication is almost impossible. Full identification requires comparison...

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Autores principales: Suesatpanit, Tanakorn, Osathanunkul, Kitisak, Madesis, Panagiotis, Osathanunkul, Maslin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5580213/
https://www.ncbi.nlm.nih.gov/pubmed/28859638
http://dx.doi.org/10.1186/s12906-017-1937-3
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author Suesatpanit, Tanakorn
Osathanunkul, Kitisak
Madesis, Panagiotis
Osathanunkul, Maslin
author_facet Suesatpanit, Tanakorn
Osathanunkul, Kitisak
Madesis, Panagiotis
Osathanunkul, Maslin
author_sort Suesatpanit, Tanakorn
collection PubMed
description BACKGROUND: A variety of plants in Acanthaceae have long been used in traditional Thai ailment and commercialised with significant economic value. Nowadays medicinal plants are sold in processed forms and thus morphological authentication is almost impossible. Full identification requires comparison of the specimen with some authoritative sources, such as a full and accurate description and verification of the species deposited in herbarium. Intake of wrong herbals can cause adverse effects. Identification of both raw materials and end products is therefore needed. METHODS: Here, the potential of a DNA-based identification method, called Bar-HRM (DNA barcoding coupled with High Resolution Melting analysis), in raw material species identification is investigated. DNA barcode sequences from five regions (matK, rbcL, trnH-psbA spacer region, trnL and ITS2) of Acanthaceae species were retrieved for in silico analysis. Then the specific primer pairs were used in HRM assay to generate unique melting profiles for each plants species. RESULTS: The method allows identification of samples lacking necessary morphological parts. In silico analyses of all five selected regions suggested that ITS2 is the most suitable marker for Bar-HRM in this study. The HRM analysis on dried samples of 16 Acanthaceae medicinal species was then performed using primer pair derived from ITS2 region. 100% discrimination of the tested samples at both genus and species level was observed. However, two samples documented as Clinacanthus nutans and Clinacanthus siamensis were recognised as the same species from the HRM analysis. Further investigation reveals that C. siamensis is now accepted as C. nutans. CONCLUSIONS: The results here proved that Bar-HRM is a promising technique in species identification of the studied medicinal plants in Acanthaceae. In addition, molecular biological data is currently used in plant taxonomy and increasingly popular in recent years. Here, DNA barcode sequence data should be incorporated with morphological characters in the species identification.
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spelling pubmed-55802132017-09-07 Should DNA sequence be incorporated with other taxonomical data for routine identifying of plant species? Suesatpanit, Tanakorn Osathanunkul, Kitisak Madesis, Panagiotis Osathanunkul, Maslin BMC Complement Altern Med Research Article BACKGROUND: A variety of plants in Acanthaceae have long been used in traditional Thai ailment and commercialised with significant economic value. Nowadays medicinal plants are sold in processed forms and thus morphological authentication is almost impossible. Full identification requires comparison of the specimen with some authoritative sources, such as a full and accurate description and verification of the species deposited in herbarium. Intake of wrong herbals can cause adverse effects. Identification of both raw materials and end products is therefore needed. METHODS: Here, the potential of a DNA-based identification method, called Bar-HRM (DNA barcoding coupled with High Resolution Melting analysis), in raw material species identification is investigated. DNA barcode sequences from five regions (matK, rbcL, trnH-psbA spacer region, trnL and ITS2) of Acanthaceae species were retrieved for in silico analysis. Then the specific primer pairs were used in HRM assay to generate unique melting profiles for each plants species. RESULTS: The method allows identification of samples lacking necessary morphological parts. In silico analyses of all five selected regions suggested that ITS2 is the most suitable marker for Bar-HRM in this study. The HRM analysis on dried samples of 16 Acanthaceae medicinal species was then performed using primer pair derived from ITS2 region. 100% discrimination of the tested samples at both genus and species level was observed. However, two samples documented as Clinacanthus nutans and Clinacanthus siamensis were recognised as the same species from the HRM analysis. Further investigation reveals that C. siamensis is now accepted as C. nutans. CONCLUSIONS: The results here proved that Bar-HRM is a promising technique in species identification of the studied medicinal plants in Acanthaceae. In addition, molecular biological data is currently used in plant taxonomy and increasingly popular in recent years. Here, DNA barcode sequence data should be incorporated with morphological characters in the species identification. BioMed Central 2017-08-31 /pmc/articles/PMC5580213/ /pubmed/28859638 http://dx.doi.org/10.1186/s12906-017-1937-3 Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Suesatpanit, Tanakorn
Osathanunkul, Kitisak
Madesis, Panagiotis
Osathanunkul, Maslin
Should DNA sequence be incorporated with other taxonomical data for routine identifying of plant species?
title Should DNA sequence be incorporated with other taxonomical data for routine identifying of plant species?
title_full Should DNA sequence be incorporated with other taxonomical data for routine identifying of plant species?
title_fullStr Should DNA sequence be incorporated with other taxonomical data for routine identifying of plant species?
title_full_unstemmed Should DNA sequence be incorporated with other taxonomical data for routine identifying of plant species?
title_short Should DNA sequence be incorporated with other taxonomical data for routine identifying of plant species?
title_sort should dna sequence be incorporated with other taxonomical data for routine identifying of plant species?
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5580213/
https://www.ncbi.nlm.nih.gov/pubmed/28859638
http://dx.doi.org/10.1186/s12906-017-1937-3
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