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Two New Potential Barcodes to Discriminate Dalbergia Species

DNA barcoding enables precise identification of species from analysis of unique DNA sequence of a target gene. The present study was undertaken to develop barcodes for different species of the genus Dalbergia, an economically important timber plant and is widely distributed in the tropics. Ten Dalbe...

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Autores principales: Bhagwat, Rasika M., Dholakia, Bhushan B., Kadoo, Narendra Y., Balasundaran, M., Gupta, Vidya S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4646644/
https://www.ncbi.nlm.nih.gov/pubmed/26569490
http://dx.doi.org/10.1371/journal.pone.0142965
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author Bhagwat, Rasika M.
Dholakia, Bhushan B.
Kadoo, Narendra Y.
Balasundaran, M.
Gupta, Vidya S.
author_facet Bhagwat, Rasika M.
Dholakia, Bhushan B.
Kadoo, Narendra Y.
Balasundaran, M.
Gupta, Vidya S.
author_sort Bhagwat, Rasika M.
collection PubMed
description DNA barcoding enables precise identification of species from analysis of unique DNA sequence of a target gene. The present study was undertaken to develop barcodes for different species of the genus Dalbergia, an economically important timber plant and is widely distributed in the tropics. Ten Dalbergia species selected from the Western Ghats of India were evaluated using three regions in the plastid genome (matK, rbcL, trnH-psbA), a nuclear transcribed spacer (nrITS) and their combinations, in order to discriminate them at species level. Five criteria: (i) inter and intraspecific distances, (ii) Neighbor Joining (NJ) trees, (iii) Best Match (BM) and Best Close Match (BCM), (iv) character based rank test and (v) Wilcoxon signed rank test were used for species discrimination. Among the evaluated loci, rbcL had the highest success rate for amplification and sequencing (97.6%), followed by matK (97.0%), trnH-psbA (94.7%) and nrITS (80.5%). The inter and intraspecific distances, along with Wilcoxon signed rank test, indicated a higher divergence for nrITS. The BM and BCM approaches revealed the highest rate of correct species identification (100%) with matK, matK+rbcL and matK+trnH-psb loci. These three loci, along with nrITS, were further supported by character based identification method. Considering the overall performance of these loci and their ranking with different approaches, we suggest matK and matK+rbcL as the most suitable barcodes to unambiguously differentiate Dalbergia species. These findings will potentially be helpful in delineating the various species of Dalbergia genus, as well as other related genera.
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spelling pubmed-46466442015-11-25 Two New Potential Barcodes to Discriminate Dalbergia Species Bhagwat, Rasika M. Dholakia, Bhushan B. Kadoo, Narendra Y. Balasundaran, M. Gupta, Vidya S. PLoS One Research Article DNA barcoding enables precise identification of species from analysis of unique DNA sequence of a target gene. The present study was undertaken to develop barcodes for different species of the genus Dalbergia, an economically important timber plant and is widely distributed in the tropics. Ten Dalbergia species selected from the Western Ghats of India were evaluated using three regions in the plastid genome (matK, rbcL, trnH-psbA), a nuclear transcribed spacer (nrITS) and their combinations, in order to discriminate them at species level. Five criteria: (i) inter and intraspecific distances, (ii) Neighbor Joining (NJ) trees, (iii) Best Match (BM) and Best Close Match (BCM), (iv) character based rank test and (v) Wilcoxon signed rank test were used for species discrimination. Among the evaluated loci, rbcL had the highest success rate for amplification and sequencing (97.6%), followed by matK (97.0%), trnH-psbA (94.7%) and nrITS (80.5%). The inter and intraspecific distances, along with Wilcoxon signed rank test, indicated a higher divergence for nrITS. The BM and BCM approaches revealed the highest rate of correct species identification (100%) with matK, matK+rbcL and matK+trnH-psb loci. These three loci, along with nrITS, were further supported by character based identification method. Considering the overall performance of these loci and their ranking with different approaches, we suggest matK and matK+rbcL as the most suitable barcodes to unambiguously differentiate Dalbergia species. These findings will potentially be helpful in delineating the various species of Dalbergia genus, as well as other related genera. Public Library of Science 2015-11-16 /pmc/articles/PMC4646644/ /pubmed/26569490 http://dx.doi.org/10.1371/journal.pone.0142965 Text en © 2015 Bhagwat et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Bhagwat, Rasika M.
Dholakia, Bhushan B.
Kadoo, Narendra Y.
Balasundaran, M.
Gupta, Vidya S.
Two New Potential Barcodes to Discriminate Dalbergia Species
title Two New Potential Barcodes to Discriminate Dalbergia Species
title_full Two New Potential Barcodes to Discriminate Dalbergia Species
title_fullStr Two New Potential Barcodes to Discriminate Dalbergia Species
title_full_unstemmed Two New Potential Barcodes to Discriminate Dalbergia Species
title_short Two New Potential Barcodes to Discriminate Dalbergia Species
title_sort two new potential barcodes to discriminate dalbergia species
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4646644/
https://www.ncbi.nlm.nih.gov/pubmed/26569490
http://dx.doi.org/10.1371/journal.pone.0142965
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