Evidence map›Paper›PMID 42406808›Full record

ArticlePloS one2026

DNA barcoding of Austrian terrestrial isopods (Crustacea: Isopoda: Oniscidea) reveals potential cryptic diversity.

Anna-Chiara Barta, Luise Kruckenhauser, Hedda Büttner, Matthäus Greilhuber, Klaus Hasenhütl, Stephan Koblmüller, Lukas Kremp, Oliver Macek, Hanna Sommer, Nikolaus U Szucsich and 1 more

Abstract read
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Article in PloS one, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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3 · Its place in the literature

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

11 authors.

Anna-Chiara BartaNatural History Museum Vienna, 3rd Zoological Department, Vienna, Austria.ORCID https://orcid.org/0009-0007-8424-5177
Luise KruckenhauserDepartment of Evolutionary Biology, University of Vienna, Vienna, Austria.
Hedda BüttnerNatural History Museum Vienna, 3rd Zoological Department, Vienna, Austria.
Matthäus GreilhuberNatural History Museum Vienna, 3rd Zoological Department, Vienna, Austria.ORCID https://orcid.org/0009-0005-8090-0352
Klaus HasenhütlHasenhütl Consulting, Graz, Austria.
Stephan KoblmüllerInstitute of Biology, University of Graz, Graz, Austria.ORCID https://orcid.org/0000-0002-1024-3220
Lukas KrempDepartment of Medicine III, Medical University of Vienna, Vienna, Austria.
Oliver MacekNatural History Museum Vienna, Central Research Laboratories, Vienna, Austria.
Hanna SommerNatural History Museum Vienna, 3rd Zoological Department, Vienna, Austria.
Nikolaus U SzucsichNatural History Museum Vienna, Central Research Laboratories, Vienna, Austria.
Martin SchwentnerNatural History Museum Vienna, 3rd Zoological Department, Vienna, Austria.ORCID https://orcid.org/0000-0002-1373-456X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Terrestrial isopods or Oniscidea are a diverse and ecologically important taxon. Austria has a relatively high species diversity with over 60 known species. In this study, we aim to provide DNA barcode reference data for the Austrian Oniscidea and to update the species inventory, which was last reviewed nearly 50 years ago. Although the focus was on freshly collected specimens, we also successfully sequenced historic museum specimens, thereby testing different museomic techniques including Sanger-based and Illumina-based methods. In total, 533 COI barcodes were generated, representing 49 of the 64 species and subspecies reported from Austria (= 76% of the species diversity), including two species not previously reported: Philoscia muscorum muscorum and P. affinis affinis. Several species exhibited large intraspecific genetic distances and the best-scoring ASAP partition (with a threshold of 6.2%) split the 49 studied species into 59 mOTUs. Even the more conservative partition with a threshold of 9.8% suggested the presence of further hitherto unrecognized species. One example is Ligidium germanicum, where we were able to demonstrate minor but consistent morphological differences in the shape of the endopod of pleopod II. COI data of historic specimens was successfully obtained. Sanger-based approaches using mini-barcodes in combination with a prior DNA repair step were more cost and labor effective than Illumina-based genome skimming approaches. This COI barcoding data plays an important role in bridging gaps in the representation of rare soil species, thus supporting the Austrian Barcode of Life Initiative (ABOL) and providing important reference data for future biodiversity and monitoring studies.

Indexed as

BiodiversityDNA Barcoding, TaxonomicIsopodaAnimalsAustriaElectron Transport Complex IVGenetic VariationPhylogenySpecies SpecificityElectron Transport Complex IV

Identifiers

PMID42406808
PMCPMC13336209

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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.