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Article . 2015 . Peer-reviewed
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Massively parallel multiplex DNA sequencing for specimen identification using an Illumina MiSeq platform

Authors: Shadi Shokralla; Teresita M. Porter; Joel F. Gibson; Rafal Dobosz; Daniel H. Janzen; Winnie Hallwachs; G. Brian Golding; +1 Authors

Massively parallel multiplex DNA sequencing for specimen identification using an Illumina MiSeq platform

Abstract

AbstractGenetic information is a valuable component of biosystematics, especially specimen identification through the use of species-specific DNA barcodes. Although many genomics applications have shifted to High-Throughput Sequencing (HTS) or Next-Generation Sequencing (NGS) technologies, sample identification (e.g., via DNA barcoding) is still most often done with Sanger sequencing. Here, we present a scalable double dual-indexing approach using an Illumina Miseq platform to sequence DNA barcode markers. We achieved 97.3% success by using half of an Illumina Miseq flowcell to obtain 658 base pairs of the cytochromecoxidase I DNA barcode in 1,010 specimens from eleven orders of arthropods. Our approach recovers a greater proportion of DNA barcode sequences from individuals than does conventional Sanger sequencing, while at the same time reducing both per specimen costs and labor time by nearly 80%. In addition, the use of HTS allows the recovery of multiple sequences per specimen, for deeper analysis of genetic variation in target gene regions.

Keywords

Base Sequence, Molecular Sequence Data, High-Throughput Nucleotide Sequencing, DNA, Sequence Analysis, DNA, Article, Electron Transport Complex IV, Animals, Arthropods

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
240
Top 1%
Top 10%
Top 1%
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gold