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The potential of metabarcoding plant components of Malaise trap samples to enhance knowledge of plant-insect interactions

The potential of metabarcoding plant components of Malaise trap samples to enhance knowledge of plant-insect interactions
The worldwide rapid declines in insect and plant abundance and diversity that have occurred in the past decades have gained public attention and demand for political actions to counteract these declines are growing. Rapid large-scale biomonitoring can aid in observing these changes and provide information for decisions for land management and species protection. Malaise traps have long been used for insect sampling and when insects are captured in these traps, they carry traces of plants they have visited on the body surface or as digested food material in the gut contents. Metabarcoding offers a promising method for identifying these plant traces, providing insight into the plants with which insects are directly interacting at a given time. To test the efficacy of DNA metabarcoding with these sample types, 79 samples from 21 sites across Germany were analysed with the ITS2 barcode. This study, to our knowledge, is the first examination of metabarcoding plant DNA traces from Malaise trap samples. Here, we report on the feasibility of sequencing these sample types, analysis of the resulting taxa, the usage of cultivated plants by insects near nature conservancy areas and the detection of rare and neophyte species. Due to the frequency of contamination and false positive reads, isolation and PCR negative controls should be used in every reaction. Metabarcoding has advantages in efficiency and resolution over microscopic identification of pollen and is the only possible identification method for the other plant traces from Malaise traps and could provide a broad utility for future studies of plant-insect interactions.
- Humboldt-Universität zu Berlin Germany
- Nature And Biodiversity Conservation Union Germany
- Leibniz Institute of Ecological Urban and Regional Development Germany
- University of Kassel Germany
- University of Kassel Germany
580, 570, Ecology, 590, landscape change, nature conservation, Insektensterben, plant-insect interactions, DNA metabarcoding, Landschaftsentwicklung, Naturschutz, biomonitoring, Biomonitoring, Falle, insect decline, Deutschland, QH540-549.5
580, 570, Ecology, 590, landscape change, nature conservation, Insektensterben, plant-insect interactions, DNA metabarcoding, Landschaftsentwicklung, Naturschutz, biomonitoring, Biomonitoring, Falle, insect decline, Deutschland, QH540-549.5
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