Evidence map›Paper›PMID 41875072›Full record

ArticleMolecular ecology resources2026

Validating COI eDNA Metabarcoding Primers for Detection of Subterranean Fauna.

Mieke van der Heyde, Michael Curran, Stephanie Floeckner, Paul Nevill, Nicole E White, Andy D Austin, Michelle T Guzik

Abstract readValidation StudyEvaluation Study
In one paragraph

Article in Molecular ecology resources, 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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0citing papers in PubMed
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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Mieke van der HeydeSubterranean Research and Groundwater Ecology (SuRGE), trace and Environmental DNA (TrEnD) Laboratory, School of Molecular and Life Sciences, Curtin University, Bentley, Western Australia, Australia.ORCID https://orcid.org/0000-0002-1658-9927
Michael CurranBiologic Environmental Survey, Perth, Western Australia, Australia.
Stephanie FloecknerBiologic Environmental Survey, Perth, Western Australia, Australia.
Paul NevillTrace and Environmental DNA (TrEnD) Laboratory, School of Molecular and Life Sciences, Curtin University, Bentley, Western Australia, Australia.ORCID https://orcid.org/0000-0001-8238-0534
Nicole E WhiteSubterranean Research and Groundwater Ecology (SuRGE), trace and Environmental DNA (TrEnD) Laboratory, School of Molecular and Life Sciences, Curtin University, Bentley, Western Australia, Australia.
Andy D AustinDepartment of Ecology & Evolutionary Biology, School of Biological Sciences, The Environment Institute, The University of Adelaide, Adelaide, Australia.
Michelle T GuzikDepartment of Ecology & Evolutionary Biology, School of Biological Sciences, The Environment Institute, The University of Adelaide, Adelaide, Australia.

Funding

Australia Research Council Linkage Project LP190100555
6 · The paper itself

Abstract

Subterranean ecosystems host a diverse range of ancient fauna, but studying these ecosystems is challenging due to significant sampling difficulties. Environmental DNA (eDNA) metabarcoding offers a promising approach for monitoring subterranean biodiversity, yet issues such as primer bias and non-target amplification can complicate its effectiveness. Thus, thorough validation of metabarcoding primers is crucial for accurate and comprehensive assessments of subterranean faunal diversity. This study aimed to address the need for robust primer validation through in silico, in vitro and in situ analyses, shedding light on primer performance across various subterranean taxa. The primary objective was to evaluate the effectiveness of COI metabarcoding primers for assessing subterranean faunal diversity. In silico analyses involved curating COI sequences from the Barcode of Life Database (BOLD) and selecting 14 primer combinations for in vitro testing using mock communities. Results revealed varying primer performance in terms of PCR efficiency and detection limits across different taxa. One primer combination (BF1/jgHCO2198) detected 82% of taxa in the mock community, but only at high DNA concentrations of the target taxa. The highest proportion of subterranean taxa detected in a diluted mock community was 68% using the fwhF2/fwhR2n primer combination. For in situ field validation, this same primer set detected 13 out of 16 subterranean taxa identified in haul net samples, along with an additional four taxa not identified by haul net. These findings highlight the potential of COI metabarcoding and the critical importance of primer selection for eDNA studies aimed at conserving subterranean biodiversity.

Indexed as

DNA Barcoding, TaxonomicDNA, EnvironmentalDNA PrimersElectron Transport Complex IVMetagenomicsAnimalsBiodiversityEcosystemExtrachromosomal DNADNA, EnvironmentalDNA PrimersElectron Transport Complex IVExtrachromosomal DNAenvironmental DNAinvertebratesmetabarcodingstygofaunasubterranean fauna

Identifiers

PMID41875072
PMCPMC13012589

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