Evidence map›Paper›PMID 32542933›Full record

ArticleMolecular ecology2020

Beyond DNA barcoding: The unrealized potential of genome skim data in sample identification.

Kristine Bohmann, Siavash Mirarab, Vineet Bafna, M Thomas P Gilbert

Open access · hybridAbstract readNews
In one paragraph

Article in Molecular ecology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed
13.9field-weighted citation impact, top 1% of its field
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

41 citing papers in PubMed, 118 citations in OpenAlex.

  1. Article
  2. DipSkmer: Reference-free population genomics with diploid genome skims.bioRxiv : the preprint server for biology · 2026
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  19. Analyses of Nuclear Reads Obtained Using Genome Skimming.Methods in molecular biology (Clifton, N.J.) · 2024
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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

4 authors at 2 institutions in 3 countries.

Kristine BohmannSection for Evolutionary Genomics, The GLOBE Institute, University of Copenhagen, Copenhagen, Denmark.ORCID 0000-0001-7907-064X
Siavash MirarabDepartment of Electrical and Computer Engineering, University of California, San Diego, CA, USA.ORCID 0000-0001-5410-1518
Vineet BafnaDepartment of Computer Science and Engineering, University of California, San Diego, CA, USA.ORCID 0000-0002-5810-6241
M Thomas P GilbertSection for Evolutionary Genomics, The GLOBE Institute, University of Copenhagen, Copenhagen, Denmark.ORCID 0000-0002-5805-7195
University of California San Diego · USUniversity of Copenhagen · DK

Funding

Computational methods for detecting patterns of complex genomic variationR01GM114362 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Vineet Bafna · 2016 to 2026
$3.1M
NIGMS NIH HHS R01 GM114362
6 · The paper itself

Abstract

Genetic tools are increasingly used to identify and discriminate between species. One key transition in this process was the recognition of the potential of the ca 658bp fragment of the organelle cytochrome c oxidase I (COI) as a barcode region, which revolutionized animal bioidentification and lead, among others, to the instigation of the Barcode of Life Database (BOLD), containing currently barcodes from >7.9 million specimens. Following this discovery, suggestions for other organellar regions and markers, and the primers with which to amplify them, have been continuously proposed. Most recently, the field has taken the leap from PCR-based generation of DNA references into shotgun sequencing-based "genome skimming" alternatives, with the ultimate goal of assembling organellar reference genomes. Unfortunately, in genome skimming approaches, much of the nuclear genome (as much as 99% of the sequence data) is discarded, which is not only wasteful, but can also limit the power of discrimination at, or below, the species level. Here, we advocate that the full shotgun sequence data can be used to assign an identity (that we term for convenience its "DNA-mark") for both voucher and query samples, without requiring any computationally intensive pretreatment (e.g. assembly) of reads. We argue that if reference databases are populated with such "DNA-marks," it will enable future DNA-based taxonomic identification to complement, or even replace PCR of barcodes with genome skimming, and we discuss how such methodology ultimately could enable identification to population, or even individual, level.

Indexed as

DNADNA Barcoding, TaxonomicAnimalsDatabases, GeneticDNA PrimersGenomicsPolymerase Chain ReactionDNADNA PrimersbiodiversityDNA barcodingDNA reference databasesenvironmental DNAK-mersnext-generation sequencing

Identifiers

PMID32542933
PMCPMC7496323
OpenAlexW3034934451

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.