ArticleScientific reports2021
Developing a non-destructive metabarcoding protocol for detection of pest insects in bulk trap catches.
Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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Who cites it
21 citing papers in PubMed, 66 citations in OpenAlex.
- Bycatch in a bottle: what taxa are recoverable from metabarcoding DNA in historical invertebrate collection preservative fluid?The Journal of heredity · 2026Article
- Simultaneous identification of multiple thrips species (Thysanoptera: Thripidae) from sticky traps using DNA metabarcoding.Journal of economic entomology · 2026Article
- Accuracy of occurrence and abundance estimates from insect metabarcoding.bioRxiv : the preprint server for biology · 2026Article
- EntoSieve: Automated Size-Sorting of Insect Bulk Samples to Aid Accurate Megabarcoding and Metabarcoding.Molecular ecology resources · 2025Article
- Fast-tracking bespoke DNA reference database generation from museum collections for biomonitoring and conservation.Molecular ecology resources · 2025Article
- Maximizing Identification Precision of Hymenoptera and Brachycera (Diptera) With a Non-Destructive DNA Metabarcoding Approach.Ecology and evolution · 2025Article
- Environmental gradients and optimal fixation time revealed with DNA metabarcoding of benthic sample fixative.Scientific reports · 2024Article
- Three steps towards comparability and standardization among molecular methods for characterizing insect communities.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024Article
- Validating a multi-locus metabarcoding approach for characterizing mixed-pollen samples.Plant methods · 2023Article
- Optimizing insect metabarcoding using replicated mock communities.Methods in ecology and evolution · 2023Article
- Development of a DNA Metabarcoding Method for the Identification of Insects in Food.Foods (Basel, Switzerland) · 2023Article
- A Deep-Learning-Based Detection Approach for the Identification of Insect Species of Economic Importance.Insects · 2023Article
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- FAVIS: Fast and versatile protocol for non-destructive metabarcoding of bulk insect samples.PloS one · 2023Article
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- Repeated subsamples during DNA extraction reveal increased diversity estimates in DNA metabarcoding of Malaise traps.Ecology and evolution · 2022Article
- Curation of a reference database of COI sequences for insect identification through DNA metabarcoding: COins.Database : the journal of biological databases and curation · 2022Article
- Specific gut bacterial responses to natural diets of tropical birds.Scientific reports · 2022Article
Corrections and comments
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Authors and funding
5 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Metabarcoding has the potential to revolutionise insect surveillance by providing high-throughput and cost-effective species identification of all specimens within mixed trap catches. Nevertheless, incorporation of metabarcoding into insect diagnostic laboratories will first require the development and evaluation of protocols that adhere to the specialised regulatory requirements of invasive species surveillance. In this study, we develop a multi-locus non-destructive metabarcoding protocol that allows sensitive detection of agricultural pests, and subsequent confirmation using traditional diagnostic techniques. We validate this protocol for the detection of tomato potato psyllid (Bactericera cockerelli) and Russian wheat aphid (Diuraphis noxia) within mock communities and field survey traps. We find that metabarcoding can reliably detect target insects within mixed community samples, including specimens that morphological identification did not initially detect, but sensitivity appears inversely related to community size and is impacted by primer biases, target loci, and sample indexing strategy. While our multi-locus approach allowed independent validation of target detection, lack of reference sequences for 18S and 12S restricted its usefulness for estimating diversity in field samples. The non-destructive DNA extraction proved invaluable for resolving inconsistencies between morphological and metabarcoding identification results, and post-extraction specimens were suitable for both morphological re-examination and DNA re-extraction for confirmatory barcoding.
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