Evidence map›Paper›PMID 24641208›Full record

ArticleMolecular ecology resources2014

Next-generation DNA barcoding: using next-generation sequencing to enhance and accelerate DNA barcode capture from single specimens.

Shadi Shokralla, Joel F Gibson, Hamid Nikbakht, Daniel H Janzen, Winnie Hallwachs, Mehrdad Hajibabaei

Abstract readComparative StudyEvaluation Study
In one paragraph

Article in Molecular ecology resources, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 87 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
87citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

87 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  17. DNA Sequencing Technologies and DNA Barcoding.Methods in molecular biology (Clifton, N.J.) · 2024
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27 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Shadi ShokrallaDepartment of Integrative Biology, Biodiversity Institute of Ontario, University of Guelph, 50 Stone Road East, Guelph, ON, Canada, N1G 2W1; Department of Microbiology, Mansoura University, Egypt, 35516.
Joel F Gibson
Hamid Nikbakht
Daniel H Janzen
Winnie Hallwachs
Mehrdad Hajibabaei

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

DNA barcoding is an efficient method to identify specimens and to detect undescribed/cryptic species. Sanger sequencing of individual specimens is the standard approach in generating large-scale DNA barcode libraries and identifying unknowns. However, the Sanger sequencing technology is, in some respects, inferior to next-generation sequencers, which are capable of producing millions of sequence reads simultaneously. Additionally, direct Sanger sequencing of DNA barcode amplicons, as practiced in most DNA barcoding procedures, is hampered by the need for relatively high-target amplicon yield, coamplification of nuclear mitochondrial pseudogenes, confusion with sequences from intracellular endosymbiotic bacteria (e.g. Wolbachia) and instances of intraindividual variability (i.e. heteroplasmy). Any of these situations can lead to failed Sanger sequencing attempts or ambiguity of the generated DNA barcodes. Here, we demonstrate the potential application of next-generation sequencing platforms for parallel acquisition of DNA barcode sequences from hundreds of specimens simultaneously. To facilitate retrieval of sequences obtained from individual specimens, we tag individual specimens during PCR amplification using unique 10-mer oligonucleotides attached to DNA barcoding PCR primers. We employ 454 pyrosequencing to recover full-length DNA barcodes of 190 specimens using 12.5% capacity of a 454 sequencing run (i.e. two lanes of a 16 lane run). We obtained an average of 143 sequence reads for each individual specimen. The sequences produced are full-length DNA barcodes for all but one of the included specimens. In a subset of samples, we also detected Wolbachia, nontarget species, and heteroplasmic sequences. Next-generation sequencing is of great value because of its protocol simplicity, greatly reduced cost per barcode read, faster throughout and added information content.

Indexed as

AnimalsCosta RicaCost-Benefit AnalysisDNA Barcoding, TaxonomicHigh-Throughput Nucleotide SequencingLepidopteraTime FactorsbiodiversityCOIDNAgenomicsheteroplasmyLepidopterataxonomyWolbachia

Identifiers

PMID24641208
PMCPMC4276293

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.