DNA barcode authentication of wood samples of threatened and commercial timber trees within the tropical dry evergreen forest of India.

BACKGROUND: India is rich with biodiversity, which includes a large number of endemic, rare and threatened plant species. Previous studies have used DNA barcoding to inventory species for applications in biodiversity monitoring, conservation impact assessment, monitoring of illegal trading, authenti...

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Main Authors: Stalin Nithaniyal, Steven G Newmaster, Subramanyam Ragupathy, Devanathan Krishnamoorthy, Sophie Lorraine Vassou, Madasamy Parani
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2014-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC4178033?pdf=render
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author Stalin Nithaniyal
Steven G Newmaster
Subramanyam Ragupathy
Devanathan Krishnamoorthy
Sophie Lorraine Vassou
Madasamy Parani
author_facet Stalin Nithaniyal
Steven G Newmaster
Subramanyam Ragupathy
Devanathan Krishnamoorthy
Sophie Lorraine Vassou
Madasamy Parani
author_sort Stalin Nithaniyal
collection DOAJ
description BACKGROUND: India is rich with biodiversity, which includes a large number of endemic, rare and threatened plant species. Previous studies have used DNA barcoding to inventory species for applications in biodiversity monitoring, conservation impact assessment, monitoring of illegal trading, authentication of traded medicinal plants etc. This is the first tropical dry evergreen forest (TDEF) barcode study in the World and the first attempt to assemble a reference barcode library for the trees of India as part of a larger project initiated by this research group. METHODOLOGY/PRINCIPAL FINDINGS: We sampled 429 trees representing 143 tropical dry evergreen forest (TDEF) species, which included 16 threatened species. DNA barcoding was completed using rbcL and matK markers. The tiered approach (1st tier rbcL; 2nd tier matK) correctly identified 136 out of 143 species (95%). This high level of species resolution was largely due to the fact that the tree species were taxonomically diverse in the TDEF. Ability to resolve taxonomically diverse tree species of TDEF was comparable among the best match method, the phylogenetic method, and the characteristic attribute organization system method. CONCLUSIONS: We demonstrated the utility of the TDEF reference barcode library to authenticate wood samples from timber operations in the TDEF. This pilot research study will enable more comprehensive surveys of the illegal timber trade of threatened species in the TDEF. This TDEF reference barcode library also contains trees that have medicinal properties, which could be used to monitor unsustainable and indiscriminate collection of plants from the wild for their medicinal value.
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spelling doaj.art-9dfdc4b498fa4a55981ff583f7f8fc1c2022-12-22T01:12:27ZengPublic Library of Science (PLoS)PLoS ONE1932-62032014-01-0199e10766910.1371/journal.pone.0107669DNA barcode authentication of wood samples of threatened and commercial timber trees within the tropical dry evergreen forest of India.Stalin NithaniyalSteven G NewmasterSubramanyam RagupathyDevanathan KrishnamoorthySophie Lorraine VassouMadasamy ParaniBACKGROUND: India is rich with biodiversity, which includes a large number of endemic, rare and threatened plant species. Previous studies have used DNA barcoding to inventory species for applications in biodiversity monitoring, conservation impact assessment, monitoring of illegal trading, authentication of traded medicinal plants etc. This is the first tropical dry evergreen forest (TDEF) barcode study in the World and the first attempt to assemble a reference barcode library for the trees of India as part of a larger project initiated by this research group. METHODOLOGY/PRINCIPAL FINDINGS: We sampled 429 trees representing 143 tropical dry evergreen forest (TDEF) species, which included 16 threatened species. DNA barcoding was completed using rbcL and matK markers. The tiered approach (1st tier rbcL; 2nd tier matK) correctly identified 136 out of 143 species (95%). This high level of species resolution was largely due to the fact that the tree species were taxonomically diverse in the TDEF. Ability to resolve taxonomically diverse tree species of TDEF was comparable among the best match method, the phylogenetic method, and the characteristic attribute organization system method. CONCLUSIONS: We demonstrated the utility of the TDEF reference barcode library to authenticate wood samples from timber operations in the TDEF. This pilot research study will enable more comprehensive surveys of the illegal timber trade of threatened species in the TDEF. This TDEF reference barcode library also contains trees that have medicinal properties, which could be used to monitor unsustainable and indiscriminate collection of plants from the wild for their medicinal value.http://europepmc.org/articles/PMC4178033?pdf=render
spellingShingle Stalin Nithaniyal
Steven G Newmaster
Subramanyam Ragupathy
Devanathan Krishnamoorthy
Sophie Lorraine Vassou
Madasamy Parani
DNA barcode authentication of wood samples of threatened and commercial timber trees within the tropical dry evergreen forest of India.
PLoS ONE
title DNA barcode authentication of wood samples of threatened and commercial timber trees within the tropical dry evergreen forest of India.
title_full DNA barcode authentication of wood samples of threatened and commercial timber trees within the tropical dry evergreen forest of India.
title_fullStr DNA barcode authentication of wood samples of threatened and commercial timber trees within the tropical dry evergreen forest of India.
title_full_unstemmed DNA barcode authentication of wood samples of threatened and commercial timber trees within the tropical dry evergreen forest of India.
title_short DNA barcode authentication of wood samples of threatened and commercial timber trees within the tropical dry evergreen forest of India.
title_sort dna barcode authentication of wood samples of threatened and commercial timber trees within the tropical dry evergreen forest of india
url http://europepmc.org/articles/PMC4178033?pdf=render
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