ArticlePeerJ2019
Validation of COI metabarcoding primers for terrestrial arthropods.
Article in PeerJ, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 103 papers.
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.
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.
Who cites it
103 citing papers in PubMed.
- Improving predictions of insect harassment for barren-ground caribou in the Arctic.Ecological applications : a publication of the Ecological Society of America · 2026Article
- Substrate-Dependent Variation in Environmental DNA Persistence and Degradation From a Small Mammal.Molecular ecology resources · 2026Article
- Simplifying Macroinvertebrate Biodiversity Assessment: A Standardised Metabarcoding Method for Invertebrate Samples With High Volumes of Debris.Molecular ecology resources · 2026Article
- Beyond conventional pollinators: advancing diversity assessments of neglected insect taxa.Annals of the Entomological Society of America · 2026Article
- Population Genomics Approaches Identify a Cryptic, Emerging Generalist Pest Complex.Ecology and evolution · 2026Article
- Understanding biological control function and trophic interaction dynamics of an artificially released predatory bug by DNA metabarcoding.Insect science · 2026Article
- Diet Metabarcoding Reveals Correlations Between the Consumption of Slugs and Hepatic Toxicants in European Hedgehogs (Erinaceus europaeus).Integrative zoology · 2026Article
- Validating COI eDNA Metabarcoding Primers for Detection of Subterranean Fauna.Molecular ecology resources · 2026Article
- Accuracy of occurrence and abundance estimates from insect metabarcoding.bioRxiv : the preprint server for biology · 2026Article
- A Species-SpecificBiology · 2026Article
- BarcodeBERT: transformers for biodiversity analyses.Bioinformatics advances · 2026Article
- The shared performance of different COI regions increases the niche breadth detectable from bat guano eDNA.Genetics and molecular biology · 2026Article
- Assessment of leaf-litter invertebrate biodiversity using high throughput sequencing.PloS one · 2026Article
- Dietary DNA Metabarcoding From Animal Fecal Samples.Current protocols · 2026Article
- Heat but Not Cold Tolerance Is Phylogenetically Constrained in Greenlandic Terrestrial Arthropods Under Future Global Warming.Global change biology · 2026Article
- Characterization of the OmnivorousEcology and evolution · 2026Article
- A new species ofZooKeys · 2026Article
- Large-Scale Integrative Taxonomy of the Smallest Insects Reveals Astonishing Temperate Diversity (Hymenoptera: Chalcidoidea: Mymaridae).Molecular ecology · 2025Article
- Establishing DNA-Based Strategies for Soil Biodiversity Assessment: Insights From Carabid Beetles.Ecology and evolution · 2025Article
- Common to rare transfer learning (CORAL) enables inference and prediction for a quarter million rare Malagasy arthropods.Nature methods · 2025Article
43 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Metabarcoding can rapidly determine the species composition of bulk samples and thus aids biodiversity and ecosystem assessment. However, it is essential to use primer sets that minimize amplification bias among taxa to maximize species recovery. Despite this fact, the performance of primer sets employed for metabarcoding terrestrial arthropods has not been sufficiently evaluated. This study tests the performance of 36 primer sets on a mock community containing 374 insect species. Amplification success was assessed with gradient PCRs and the 21 most promising primer sets selected for metabarcoding. These 21 primer sets were also tested by metabarcoding a Malaise trap sample. We identified eight primer sets, mainly those including inosine and/or high degeneracy, that recovered more than 95% of the species in the mock community. Results from the Malaise trap sample were congruent with the mock community, but primer sets generating short amplicons produced potential false positives. Taxon recovery from both mock community and Malaise trap sample metabarcoding were used to select four primer sets for additional evaluation at different annealing temperatures (40-60 °C) using the mock community. The effect of temperature varied by primer pair but overall it only had a minor effect on taxon recovery. This study reveals the weak performance of some primer sets employed in past studies. It also demonstrates that certain primer sets can recover most taxa in a diverse species assemblage. Thus, based our experimental set up, there is no need to employ several primer sets targeting the same gene region. We identify several suitable primer sets for arthropod metabarcoding, and specifically recommend BF3 + BR2, as it is not affected by primer slippage and provides maximal taxonomic resolution. The fwhF2 + fwhR2n primer set amplifies a shorter fragment and is therefore ideal when targeting degraded DNA (e.g., from gut contents).
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.