Environmental DNA assessment of airborne plant and fungal seasonal diversity
| Autor: | Pierluigi Verardo, Francesca Tassan, Lucia Muggia, Stefania Lazzarin, Olga Moretti, Silvia Ongaro, Nadia Trobiani, Claudio G. Ametrano, David Stanković, Mauro Tretiach, Elisa Banchi, Enrico Tordoni, Maria Francesca Borney, Alberto Pallavicini |
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| Přispěvatelé: | Banchi, E., Ametrano, C. G., Tordoni, E., Stankovic, D., Ongaro, S., Tretiach, M., Pallavicini, A., Muggia, L |
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
medicine.medical_specialty
Environmental Engineering 010504 meteorology & atmospheric sciences Biodiversity Aerobiology 010501 environmental sciences Biology 01 natural sciences High throughput sequencing Italy PERMANOVA PLANiTS Pollen Spore Biomonitoring medicine Environmental Chemistry DNA Barcoding Taxonomic Environmental DNA Waste Management and Disposal 0105 earth and related environmental sciences Ecology fungi Fungi food and beverages biology.organism_classification Alternaria Pollution DNA Environmental Metagenomics Indicator species Seasons Cladosporium |
| Popis: | Environmental DNA (eDNA) metabarcoding and metagenomics analyses can improve taxonomic resolution in biodiversity studies. Only recently, these techniques have been applied in aerobiology, to target bacteria, fungi and plants in airborne samples. Here, we present a nine-month aerobiological study applying eDNA metabarcoding in which we analyzed simultaneously airborne diversity and variation of fungi and plants across five locations in North and Central Italy. We correlated species composition with the ecological characteristics of the sites and the seasons. The most abundant taxa among all sites and seasons were the fungal genera Cladosporium, Alternaria, and Epicoccum and the plant genera Brassica, Corylus, Cupressus and Linum, the latter being much more variable among sites. PERMANOVA and indicator species analyses showed that the plant diversity from air samples is significantly correlated with seasons, while that of fungi varied according to the interaction between seasons and sites. The results consolidate the performance of a new eDNA metabarcoding pipeline for the simultaneous amplification and analysis of airborne plant and fungal particles. They also highlight the promising complementarity of this approach with more traditional biomonitoring frameworks and routine reports of air quality provided by environmental agencies. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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