ArticleScientific reports2021
Plant biodiversity assessment through pollen DNA metabarcoding in Natura 2000 habitats (Italian Alps).
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 12 papers.
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Who cites it
12 citing papers in PubMed, 36 citations in OpenAlex.
- From environmental DNA into actionable biodiversity data: Towards the implementation of the Kunming-Montreal Global Biodiversity Framework.The Journal of heredity · 2026Review
- Comparative Analysis of Pasture Composition: DNA Metabarcoding Versus Quadrat-Based Botanical Surveys in Experimental Grassland Plots.Ecology and evolution · 2025Article
- Stepping towards pollen DNA metabarcoding: A breakthrough in forensic sciences.Forensic science, medicine, and pathology · 2024Review
- Article
- Viral Diversity in Mixed Tree Fruit Production Systems Determined through Bee-Mediated Pollen Collection.Viruses · 2024Article
- Plants, pollinators and their interactions under global ecological change: The role of pollen DNA metabarcoding.Molecular ecology · 2023Article
- Deductive automated pollen classification in environmental samples via exploratory deep learning and imaging flow cytometry.The New phytologist · 2023Article
- Effect of fuchsin fixation of pollen on DNA barcode recovery.Ecology and evolution · 2023Article
- Aerobiological Monitoring and Metabarcoding of Grass Pollen.Plants (Basel, Switzerland) · 2023Article
- Investigating the use of pollen DNA metabarcoding to quantify bee foraging and effects of threshold selection.PloS one · 2023Article
- Development and Testing of the A1 Volumetric Air Sampler, an Automatic Pollen Trap Suitable for Long-Term Monitoring of eDNA Pollen Diversity.Sensors (Basel, Switzerland) · 2022Article
- Environmental DNA analysis as an emerging non-destructive method for plant biodiversity monitoring: a review.AoB PLANTS · 2022Review
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Authors and funding
11 authors at 4 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Monitoring biodiversity is of increasing importance in natural ecosystems. Metabarcoding can be used as a powerful molecular tool to complement traditional biodiversity monitoring, as total environmental DNA can be analyzed from complex samples containing DNA of different origin. The aim of this research was to demonstrate the potential of pollen DNA metabarcoding using the chloroplast trnL partial gene sequencing to characterize plant biodiversity. Collecting airborne biological particles with gravimetric Tauber traps in four Natura 2000 habitats within the Natural Park of Paneveggio Pale di San Martino (Italian Alps), at three-time intervals in 1 year, metabarcoding identified 68 taxa belonging to 32 local plant families. Metabarcoding could identify with finer taxonomic resolution almost all non-rare families found by conventional light microscopy concurrently applied. However, compared to microscopy quantitative results, Poaceae, Betulaceae, and Oleaceae were found to contribute to a lesser extent to the plant biodiversity and Pinaceae were more represented. Temporal changes detected by metabarcoding matched the features of each pollen season, as defined by aerobiological studies running in parallel, and spatial heterogeneity was revealed between sites. Our results showcase that pollen metabarcoding is a promising approach in detecting plant species composition which could provide support to continuous monitoring required in Natura 2000 habitats for biodiversity conservation.
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