Evidence map›Paper›PMID 34587965›Full record

ArticleBMC biology2021

ONTbarcoder and MinION barcodes aid biodiversity discovery and identification by everyone, for everyone.

Amrita Srivathsan, Leshon Lee, Kazutaka Katoh, Emily Hartop, Sujatha Narayanan Kutty, Johnathan Wong, Darren Yeo, Rudolf Meier

Abstract read
In one paragraph

Article in BMC biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 89 papers.

0numbers the graph read from it
0cells of the map it votes in
89citing papers in PubMed
–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

89 citing papers in PubMed.

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  17. Redescription ofZooKeys · 2026
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  20. A new species ofZooKeys · 2026
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29 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

8 authors.

Amrita SrivathsanDepartment of Biological Sciences, National University of Singapore, Singapore, Singapore.
Leshon LeeDepartment of Biological Sciences, National University of Singapore, Singapore, Singapore.
Kazutaka KatohResearch Institute for Microbial Diseases, Osaka University, Osaka, Japan.
Emily HartopZoology Department, Stockholms Universitet, Stockholm, Sweden.
Sujatha Narayanan KuttyDepartment of Biological Sciences, National University of Singapore, Singapore, Singapore.
Johnathan WongDepartment of Biological Sciences, National University of Singapore, Singapore, Singapore.
Darren YeoDepartment of Biological Sciences, National University of Singapore, Singapore, Singapore.
Rudolf MeierDepartment of Biological Sciences, National University of Singapore, Singapore, Singapore. Rudolf.Meier@mfn.berlin.ORCID 0000-0002-4452-2885

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDNA barcodes are a useful tool for discovering, understanding, and monitoring biodiversity which are critical tasks at a time of rapid biodiversity loss. However, widespread adoption of barcodes requires cost-effective and simple barcoding methods. We here present a workflow that satisfies these conditions. It was developed via "innovation through subtraction" and thus requires minimal lab equipment, can be learned within days, reduces the barcode sequencing cost to < 10 cents, and allows fast turnaround from specimen to sequence by using the portable MinION sequencer.

resultsWe describe how tagged amplicons can be obtained and sequenced with the real-time MinION sequencer in many settings (field stations, biodiversity labs, citizen science labs, schools). We also provide amplicon coverage recommendations that are based on several runs of the latest generation of MinION flow cells ("R10.3") which suggest that each run can generate barcodes for > 10,000 specimens. Next, we present a novel software, ONTbarcoder, which overcomes the bioinformatics challenges posed by MinION reads. The software is compatible with Windows 10, Macintosh, and Linux, has a graphical user interface (GUI), and can generate thousands of barcodes on a standard laptop within hours based on only two input files (FASTQ, demultiplexing file). We document that MinION barcodes are virtually identical to Sanger and Illumina barcodes for the same specimens (> 99.99%) and provide evidence that MinION flow cells and reads have improved rapidly since 2018.

conclusionsWe propose that barcoding with MinION is the way forward for government agencies, universities, museums, and schools because it combines low consumable and capital cost with scalability. Small projects can use the flow cell dongle ("Flongle") while large projects can rely on MinION flow cells that can be stopped and re-used after collecting sufficient data for a given project.

Indexed as

BiodiversityComputational BiologyDNA Barcoding, TaxonomicHigh-Throughput Nucleotide SequencingSequence Analysis, DNASoftwareBiodiversity discoveryBioinformaticsCitizen scienceDNA barcodingMinIONOxford nanoporeSpecies delimitation

Identifiers

PMID34587965
PMCPMC8479912

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LicenceCC BY
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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.