Plant DNA barcoding: from gene to genome

Li, Xiwen, Yang, Yang, Henry, Robert J., Rossetto, Maurizio, Wang, Yitao and Chen, Shilin (2014) Plant DNA barcoding: from gene to genome. Biological Reviews, Early View 1-10. doi:10.1111/brv.12104

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Author Li, Xiwen
Yang, Yang
Henry, Robert J.
Rossetto, Maurizio
Wang, Yitao
Chen, Shilin
Title Plant DNA barcoding: from gene to genome
Journal name Biological Reviews   Check publisher's open access policy
ISSN 1464-7931
Publication date 2014-03-25
Year available 2014
Sub-type Article (original research)
DOI 10.1111/brv.12104
Open Access Status
Volume Early View
Start page 1
End page 10
Total pages 10
Place of publication Chichester, West Sussex, United Kingdom
Publisher Wiley-Blackwell Publishing
Collection year 2015
Language eng
Formatted abstract
DNA barcoding is currently a widely used and effective tool that enables rapid and accurate identification of plant species; however, none of the available loci work across all species. Because single-locus DNA barcodes lack adequate variations in closely related taxa, recent barcoding studies have placed high emphasis on the use of whole-chloroplast genome sequences which are now more readily available as a consequence of improving sequencing technologies. While chloroplast genome sequencing can already deliver a reliable barcode for accurate plant identification it is not yet resource-effective and does not yet offer the speed of analysis provided by single-locus barcodes to unspecialized laboratory facilities. Here, we review the development of candidate barcodes and discuss the feasibility of using the chloroplast genome as a super-barcode. We advocate a new approach for DNA barcoding that, for selected groups of taxa, combines the best use of single-locus barcodes and super-barcodes for efficient plant identification. Specific barcodes might enhance our ability to distinguish closely related plants at the species and population levels.
Keyword Single-locus barcode
Specific barcode
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ
Additional Notes Article first published online: 25 MAR 2014

Document type: Journal Article
Sub-type: Article (original research)
Collections: Queensland Alliance for Agriculture and Food Innovation
Official 2015 Collection
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 43 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 18 times in Scopus Article | Citations
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Created: Wed, 26 Mar 2014, 14:29:13 EST by Professor Robert Henry on behalf of Qld Alliance for Agriculture and Food Innovation