Evidence map›Paper›PMID 25849083›Full record

ArticlePloS one2015

Delineating species with DNA barcodes: a case of taxon dependent method performance in moths.

Mari Kekkonen, Marko Mutanen, Lauri Kaila, Marko Nieminen, Paul D N Hebert

Abstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing 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

32 citing papers in PubMed.

  1. Article
  2. A taxonomic revision ofPersoonia · 2025
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  6. Delimiting Species with Single-Locus DNA Sequences.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

5 authors.

Mari KekkonenFinnish Museum of Natural History, University of Helsinki, Zoology Unit, University of Helsinki, Helsinki, Finland; Biodiversity Institute of Ontario, University of Guelph, Guelph, Ontario, Canada.
Marko MutanenDepartment of Genetics and Physiology, University of Oulu, Oulu, Finland.
Lauri KailaFinnish Museum of Natural History, University of Helsinki, Zoology Unit, University of Helsinki, Helsinki, Finland.
Marko NieminenMetapopulation Research Centre, Department of Biosciences, University of Helsinki, Helsinki, Finland.
Paul D N HebertBiodiversity Institute of Ontario, University of Guelph, Guelph, Ontario, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The accelerating loss of biodiversity has created a need for more effective ways to discover species. Novel algorithmic approaches for analyzing sequence data combined with rapidly expanding DNA barcode libraries provide a potential solution. While several analytical methods are available for the delineation of operational taxonomic units (OTUs), few studies have compared their performance. This study compares the performance of one morphology-based and four DNA-based (BIN, parsimony networks, ABGD, GMYC) methods on two groups of gelechioid moths. It examines 92 species of Finnish Gelechiinae and 103 species of Australian Elachistinae which were delineated by traditional taxonomy. The results reveal a striking difference in performance between the two taxa with all four DNA-based methods. OTU counts in the Elachistinae showed a wider range and a relatively low (ca. 65%) OTU match with reference species while OTU counts were more congruent and performance was higher (ca. 90%) in the Gelechiinae. Performance rose when only monophyletic species were compared, but the taxon-dependence remained. None of the DNA-based methods produced a correct match with non-monophyletic species, but singletons were handled well. A simulated test of morphospecies-grouping performed very poorly in revealing taxon diversity in these small, dull-colored moths. Despite the strong performance of analyses based on DNA barcodes, species delineated using single-locus mtDNA data are best viewed as OTUs that require validation by subsequent integrative taxonomic work.

Indexed as

AnimalsBiodiversityDNA Barcoding, TaxonomicDNA, MitochondrialGenetic LociMothsReproducibility of ResultsDNA, Mitochondrial

Identifiers

PMID25849083
PMCPMC4406103

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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.