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Pyrosequencing for Mini-Barcoding of Fresh and Old Museum Specimens

Overview of attention for article published in PLOS ONE, July 2011
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Title
Pyrosequencing for Mini-Barcoding of Fresh and Old Museum Specimens
Published in
PLOS ONE, July 2011
DOI 10.1371/journal.pone.0021252
Pubmed ID
Authors

Shadi Shokralla, Xin Zhou, Daniel H. Janzen, Winnie Hallwachs, Jean-François Landry, Luke M. Jacobus, Mehrdad Hajibabaei

Abstract

DNA barcoding is an effective approach for species identification and for discovery of new and/or cryptic species. Sanger sequencing technology is the method of choice for obtaining standard 650 bp cytochrome c oxidase subunit I (COI) barcodes. However, DNA degradation/fragmentation makes it difficult to obtain a full-length barcode from old specimens. Mini-barcodes of 130 bp from the standard barcode region have been shown to be effective for accurate identification in many animal groups and may be readily obtained from museum samples. Here we demonstrate the application of an alternative sequencing technology, the four-enzymes single-specimen pyrosequencing, in rapid, cost-effective mini-barcode analysis. We were able to generate sequences of up to 100 bp from mini-barcode fragments of COI in 135 fresh and 50 old Lepidoptera specimens (ranging from 53-97 year-old). The sequences obtained using pyrosequencing were of high quality and we were able to robustly match all the tested pyro-sequenced samples to their respective Sanger-sequenced standard barcode sequences, where available. Simplicity of the protocol and instrumentation coupled with higher speed and lower cost per sequence than Sanger sequencing makes this approach potentially useful in efforts to link standard barcode sequences from unidentified specimens to known museum specimens with only short DNA fragments.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 140 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 2 1%
United States 2 1%
Sweden 1 <1%
Australia 1 <1%
Argentina 1 <1%
New Zealand 1 <1%
Unknown 132 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 38 27%
Student > Ph. D. Student 29 21%
Student > Master 16 11%
Student > Bachelor 9 6%
Professor > Associate Professor 9 6%
Other 21 15%
Unknown 18 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 83 59%
Biochemistry, Genetics and Molecular Biology 11 8%
Environmental Science 8 6%
Medicine and Dentistry 5 4%
Computer Science 3 2%
Other 9 6%
Unknown 21 15%