The Use of DNA Barcoding in Identification and Conservation of Rosewood (Dalbergia spp.)

Research output: Contribution to journalJournal articleResearchpeer-review

Standard

The Use of DNA Barcoding in Identification and Conservation of Rosewood (Dalbergia spp.). / Hartvig, Ida; Czako, Mihaly; Kjaer, Erik Dahl; Nielsen, Lene Rostgaard; Theilade, Ida.

In: P L o S One, Vol. 10, No. 9, e0138231, 16.09.2015.

Research output: Contribution to journalJournal articleResearchpeer-review

Harvard

Hartvig, I, Czako, M, Kjaer, ED, Nielsen, LR & Theilade, I 2015, 'The Use of DNA Barcoding in Identification and Conservation of Rosewood (Dalbergia spp.)', P L o S One, vol. 10, no. 9, e0138231. https://doi.org/10.1371/journal.pone.0138231

APA

Hartvig, I., Czako, M., Kjaer, E. D., Nielsen, L. R., & Theilade, I. (2015). The Use of DNA Barcoding in Identification and Conservation of Rosewood (Dalbergia spp.). P L o S One, 10(9), [e0138231]. https://doi.org/10.1371/journal.pone.0138231

Vancouver

Hartvig I, Czako M, Kjaer ED, Nielsen LR, Theilade I. The Use of DNA Barcoding in Identification and Conservation of Rosewood (Dalbergia spp.). P L o S One. 2015 Sep 16;10(9). e0138231. https://doi.org/10.1371/journal.pone.0138231

Author

Hartvig, Ida ; Czako, Mihaly ; Kjaer, Erik Dahl ; Nielsen, Lene Rostgaard ; Theilade, Ida. / The Use of DNA Barcoding in Identification and Conservation of Rosewood (Dalbergia spp.). In: P L o S One. 2015 ; Vol. 10, No. 9.

Bibtex

@article{f3194c01fba648af813684f9ff1473b3,
title = "The Use of DNA Barcoding in Identification and Conservation of Rosewood (Dalbergia spp.)",
abstract = "The genus Dalbergia contains many valuable timber species threatened by illegal logging and deforestation, but knowledge on distributions and threats is often limited and accurate species identification difficult. The aim of this study was to apply DNA barcoding methods to support conservation efforts of Dalbergia species in Indochina. We used the recommended rbcL, matK and ITS barcoding markers on 95 samples covering 31 species of Dalbergia, and tested their discrimination ability with both traditional distance-based as well as different model-based machine learning methods. We specifically tested whether the markers could be used to solve taxonomic confusion concerning the timber species Dalbergia oliveri, and to identify the CITES-listed Dalbergia cochinchinensis. We also applied the barcoding markers to 14 samples of unknown identity. In general, we found that the barcoding markers discriminated among Dalbergia species with high accuracy. We found that ITS yielded the single highest discrimination rate (100%), but due to difficulties in obtaining high-quality sequences from degraded material, the better overall choice for Dalbergia seems to be the standard rbcL+matK barcode, as this yielded discrimination rates close to 90% and amplified well. The distance-based method TaxonDNA showed the highest identification rates overall, although a more complete specimen sampling is needed to conclude on the best analytic method. We found strong support for a monophyletic Dalbergia oliveri and encourage that this name is used consistently in Indochina. The CITES-listed Dalbergia cochinchinensis was successfully identified, and a species-specific assay can be developed from the data generated in this study for the identification of illegally traded timber. We suggest that the use of DNA barcoding is integrated into the work flow during floristic studies and at national herbaria in the region, as this could significantly increase the number of identified specimens and improve knowledge about species distributions.",
author = "Ida Hartvig and Mihaly Czako and Kjaer, {Erik Dahl} and Nielsen, {Lene Rostgaard} and Ida Theilade",
year = "2015",
month = sep,
day = "16",
doi = "10.1371/journal.pone.0138231",
language = "English",
volume = "10",
journal = "PLoS ONE",
issn = "1932-6203",
publisher = "Public Library of Science",
number = "9",

}

RIS

TY - JOUR

T1 - The Use of DNA Barcoding in Identification and Conservation of Rosewood (Dalbergia spp.)

AU - Hartvig, Ida

AU - Czako, Mihaly

AU - Kjaer, Erik Dahl

AU - Nielsen, Lene Rostgaard

AU - Theilade, Ida

PY - 2015/9/16

Y1 - 2015/9/16

N2 - The genus Dalbergia contains many valuable timber species threatened by illegal logging and deforestation, but knowledge on distributions and threats is often limited and accurate species identification difficult. The aim of this study was to apply DNA barcoding methods to support conservation efforts of Dalbergia species in Indochina. We used the recommended rbcL, matK and ITS barcoding markers on 95 samples covering 31 species of Dalbergia, and tested their discrimination ability with both traditional distance-based as well as different model-based machine learning methods. We specifically tested whether the markers could be used to solve taxonomic confusion concerning the timber species Dalbergia oliveri, and to identify the CITES-listed Dalbergia cochinchinensis. We also applied the barcoding markers to 14 samples of unknown identity. In general, we found that the barcoding markers discriminated among Dalbergia species with high accuracy. We found that ITS yielded the single highest discrimination rate (100%), but due to difficulties in obtaining high-quality sequences from degraded material, the better overall choice for Dalbergia seems to be the standard rbcL+matK barcode, as this yielded discrimination rates close to 90% and amplified well. The distance-based method TaxonDNA showed the highest identification rates overall, although a more complete specimen sampling is needed to conclude on the best analytic method. We found strong support for a monophyletic Dalbergia oliveri and encourage that this name is used consistently in Indochina. The CITES-listed Dalbergia cochinchinensis was successfully identified, and a species-specific assay can be developed from the data generated in this study for the identification of illegally traded timber. We suggest that the use of DNA barcoding is integrated into the work flow during floristic studies and at national herbaria in the region, as this could significantly increase the number of identified specimens and improve knowledge about species distributions.

AB - The genus Dalbergia contains many valuable timber species threatened by illegal logging and deforestation, but knowledge on distributions and threats is often limited and accurate species identification difficult. The aim of this study was to apply DNA barcoding methods to support conservation efforts of Dalbergia species in Indochina. We used the recommended rbcL, matK and ITS barcoding markers on 95 samples covering 31 species of Dalbergia, and tested their discrimination ability with both traditional distance-based as well as different model-based machine learning methods. We specifically tested whether the markers could be used to solve taxonomic confusion concerning the timber species Dalbergia oliveri, and to identify the CITES-listed Dalbergia cochinchinensis. We also applied the barcoding markers to 14 samples of unknown identity. In general, we found that the barcoding markers discriminated among Dalbergia species with high accuracy. We found that ITS yielded the single highest discrimination rate (100%), but due to difficulties in obtaining high-quality sequences from degraded material, the better overall choice for Dalbergia seems to be the standard rbcL+matK barcode, as this yielded discrimination rates close to 90% and amplified well. The distance-based method TaxonDNA showed the highest identification rates overall, although a more complete specimen sampling is needed to conclude on the best analytic method. We found strong support for a monophyletic Dalbergia oliveri and encourage that this name is used consistently in Indochina. The CITES-listed Dalbergia cochinchinensis was successfully identified, and a species-specific assay can be developed from the data generated in this study for the identification of illegally traded timber. We suggest that the use of DNA barcoding is integrated into the work flow during floristic studies and at national herbaria in the region, as this could significantly increase the number of identified specimens and improve knowledge about species distributions.

U2 - 10.1371/journal.pone.0138231

DO - 10.1371/journal.pone.0138231

M3 - Journal article

C2 - 26375850

VL - 10

JO - PLoS ONE

JF - PLoS ONE

SN - 1932-6203

IS - 9

M1 - e0138231

ER -

ID: 147558577