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A universal DNA mini-barcode for biodiversity analysis

Title:

A universal DNA mini-barcode for biodiversity analysis

Meusnier, Isabelle, Singer, Gregory AC, Landry, Jean-François, Hickey, Donal A., Hebert, Paul DN and Hajibabaei, Mehrdad (2008) A universal DNA mini-barcode for biodiversity analysis. BMC Genomics, 9 (1). p. 214. ISSN 1471-2164

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Official URL: http://dx.doi.org/10.1186/1471-2164-9-214

Abstract

Background
The goal of DNA barcoding is to develop a species-specific sequence library for all eukaryotes. A 650 bp fragment of the cytochrome c oxidase 1 (CO1) gene has been used successfully for species-level identification in several animal groups. It may be difficult in practice, however, to retrieve a 650 bp fragment from archival specimens, (because of DNA degradation) or from environmental samples (where universal primers are needed).

Results
We used a bioinformatics analysis using all CO1 barcode sequences from GenBank and calculated the probability of having species-specific barcodes for varied size fragments. This analysis established the potential of much smaller fragments, mini-barcodes, for identifying unknown specimens. We then developed a universal primer set for the amplification of mini-barcodes. We further successfully tested the utility of this primer set on a comprehensive set of taxa from all major eukaryotic groups as well as archival specimens.

Conclusion
In this study we address the important issue of minimum amount of sequence information required for identifying species in DNA barcoding. We establish a novel approach based on a much shorter barcode sequence and demonstrate its effectiveness in archival specimens. This approach will significantly broaden the application of DNA barcoding in biodiversity studies.

Divisions:Concordia University > Faculty of Arts and Science > Biology
Item Type:Article
Refereed:Yes
Authors:Meusnier, Isabelle and Singer, Gregory AC and Landry, Jean-François and Hickey, Donal A. and Hebert, Paul DN and Hajibabaei, Mehrdad
Journal or Publication:BMC Genomics
Date:12 May 2008
Digital Object Identifier (DOI):10.1186/1471-2164-9-214
ID Code:7586
Deposited By: Danielle Dennie
Deposited On:11 May 2011 21:58
Last Modified:18 Jan 2018 17:31

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