ArticlePloS one2023
FAVIS: Fast and versatile protocol for non-destructive metabarcoding of bulk insect samples.
Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Spatial overlap and temporal synchrony between guilds of insect hosts and parasitoids.The Journal of animal ecology · 2026Article
- Accuracy of occurrence and abundance estimates from insect metabarcoding.bioRxiv : the preprint server for biology · 2026Article
- Small Bugs, Big Data: Metagenomics for Arthropod Biodiversity Monitoring.Ecology and evolution · 2025Article
- Data of the Insect Biome Atlas: a metabarcoding survey of the terrestrial arthropods of Sweden and Madagascar.Scientific data · 2025Article
- High-throughput biodiversity surveying sheds new light on the brightest of insect taxa.Proceedings. Biological sciences · 2025Article
- The Field Automatic Insect Recognition-Device-A Non-Lethal Semi-Automatic Malaise Trap for Insect Biodiversity Monitoring: Proof of Concept.Ecology and evolution · 2024Article
- Recent Progress in Nanomaterial-Based Surface-Enhanced Raman Spectroscopy for Food Safety Detection.Nanomaterials (Basel, Switzerland) · 2024Review
- Temperature and water availability drive insect seasonality across a temperate and a tropical region.Proceedings. Biological sciences · 2024Article
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Authors and funding
14 authors.
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Abstract
Insects are diverse and sustain essential ecosystem functions, yet remain understudied. Recent reports about declines in insect abundance and diversity have highlighted a pressing need for comprehensive large-scale monitoring. Metabarcoding (high-throughput bulk sequencing of marker gene amplicons) offers a cost-effective and relatively fast method for characterizing insect community samples. However, the methodology applied varies greatly among studies, thus complicating the design of large-scale and repeatable monitoring schemes. Here we describe a non-destructive metabarcoding protocol that is optimized for high-throughput processing of Malaise trap samples and other bulk insect samples. The protocol details the process from obtaining bulk samples up to submitting libraries for sequencing. It is divided into four sections: 1) Laboratory workspace preparation; 2) Sample processing-decanting ethanol, measuring the wet-weight biomass and the concentration of the preservative ethanol, performing non-destructive lysis and preserving the insect material for future work; 3) DNA extraction and purification; and 4) Library preparation and sequencing. The protocol relies on readily available reagents and materials. For steps that require expensive infrastructure, such as the DNA purification robots, we suggest alternative low-cost solutions. The use of this protocol yields a comprehensive assessment of the number of species present in a given sample, their relative read abundances and the overall insect biomass. To date, we have successfully applied the protocol to more than 7000 Malaise trap samples obtained from Sweden and Madagascar. We demonstrate the data yield from the protocol using a small subset of these samples.
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