Evidence map›Paper›PMID 31783752›Full record

ArticleBMC biology2019

Rapid, large-scale species discovery in hyperdiverse taxa using 1D MinION sequencing.

Amrita Srivathsan, Emily Hartop, Jayanthi Puniamoorthy, Wan Ting Lee, Sujatha Narayanan Kutty, Olavi Kurina, Rudolf Meier

Open access · goldAbstract read
In one paragraph

Article in BMC biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers.

0numbers the graph read from it
0cells of the map it votes in
60citing papers in PubMed
19.7field-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

60 citing papers in PubMed, 177 citations in OpenAlex.

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  9. UITOTO: a software for generating molecular diagnoses for species descriptions.Cladistics : the international journal of the Willi Hennig Society · 2026
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  10. Accuracy of occurrence and abundance estimates from insect metabarcoding.bioRxiv : the preprint server for biology · 2026
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  14. Pathogens spread by high-flying wind-borne mosquitoes.Proceedings of the National Academy of Sciences of the United States of America · 2025
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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

7 authors at 3 institutions in 3 countries.

Amrita SrivathsanDepartment of Biological Sciences, National University of Singapore, 14 Science Drive 4, Singapore, Singapore.
Emily HartopZoology Department, Stockholms Universitet, Stockholm, Sweden.
Jayanthi PuniamoorthyDepartment of Biological Sciences, National University of Singapore, 14 Science Drive 4, Singapore, Singapore.
Wan Ting LeeDepartment of Biological Sciences, National University of Singapore, 14 Science Drive 4, Singapore, Singapore.
Sujatha Narayanan KuttyDepartment of Biological Sciences, National University of Singapore, 14 Science Drive 4, Singapore, Singapore.
Olavi KurinaEstonian University of Life Sciences, Kreutzwaldi 5D, Tartu, Estonia.
Rudolf MeierDepartment of Biological Sciences, National University of Singapore, 14 Science Drive 4, Singapore, Singapore. meier@nus.edu.sg.ORCID 0000-0002-4452-2885
National University of Singapore · SGEstonian University of Life Sciences · EEStockholm University · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMore than 80% of all animal species remain unknown to science. Most of these species live in the tropics and belong to animal taxa that combine small body size with high specimen abundance and large species richness. For such clades, using morphology for species discovery is slow because large numbers of specimens must be sorted based on detailed microscopic investigations. Fortunately, species discovery could be greatly accelerated if DNA sequences could be used for sorting specimens to species. Morphological verification of such "molecular operational taxonomic units" (mOTUs) could then be based on dissection of a small subset of specimens. However, this approach requires cost-effective and low-tech DNA barcoding techniques because well-equipped, well-funded molecular laboratories are not readily available in many biodiverse countries.

resultsWe here document how MinION sequencing can be used for large-scale species discovery in a specimen- and species-rich taxon like the hyperdiverse fly family Phoridae (Diptera). We sequenced 7059 specimens collected in a single Malaise trap in Kibale National Park, Uganda, over the short period of 8 weeks. We discovered > 650 species which exceeds the number of phorid species currently described for the entire Afrotropical region. The barcodes were obtained using an improved low-cost MinION pipeline that increased the barcoding capacity sevenfold from 500 to 3500 barcodes per flowcell. This was achieved by adopting 1D sequencing, resequencing weak amplicons on a used flowcell, and improving demultiplexing. Comparison with Illumina data revealed that the MinION barcodes were very accurate (99.99% accuracy, 0.46% Ns) and thus yielded very similar species units (match ratio 0.991). Morphological examination of 100 mOTUs also confirmed good congruence with morphology (93% of mOTUs; > 99% of specimens) and revealed that 90% of the putative species belong to the neglected, megadiverse genus Megaselia. We demonstrate for one Megaselia species how the molecular data can guide the description of a new species (Megaselia sepsioides sp. nov.).

conclusionsWe document that one field site in Africa can be home to an estimated 1000 species of phorids and speculate that the Afrotropical diversity could exceed 200,000 species. We furthermore conclude that low-cost MinION sequencers are very suitable for reliable, rapid, and large-scale species discovery in hyperdiverse taxa. MinION sequencing could quickly reveal the extent of the unknown diversity and is especially suitable for biodiverse countries with limited access to capital-intensive sequencing facilities.

Indexed as

BiodiversityAnimalsClassificationDipteraDNA Barcoding, TaxonomicUgandaDNA barcodingLarge-scale species discoveryMinIONNanopore sequencingNGS barcoding

Identifiers

PMID31783752
PMCPMC6884855
OpenAlexW2990906670

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.