Open AccessArticle
The Use of Environmental DNA as Preliminary Description of Invertebrate Diversity in Three Sicilian Lakes
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Manuela Mauro, Francesco Longo, Mario Lo Valvo, Aiti Vizzini, Antonino Di Grigoli, Slobodanka Radovic, Vincenzo Arizza, Luca Vecchioni, Laura La Paglia, Vinicius Queiroz, Marialetizia Ponte, Claudio Gargano, Paolo Salvatore Francesco Ciaccio, Domenico Vicari and Mirella Vazzana
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Abstract
Freshwater ecosystems are among the most severely affected environments by species loss caused by climate change and intense anthropogenic pressure. To preserve biodiversity, biomonitoring plays a key role by providing reliable data on biological diversity and ecological status. Environmental DNA (eDNA) metabarcoding has
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Freshwater ecosystems are among the most severely affected environments by species loss caused by climate change and intense anthropogenic pressure. To preserve biodiversity, biomonitoring plays a key role by providing reliable data on biological diversity and ecological status. Environmental DNA (eDNA) metabarcoding has emerged as a powerful and non-invasive alternative to traditional morphology-based sampling and identification methods. This study represents the first application of eDNA analysis to assess the invertebrate communities in three Sicilian Lakes: Poma, Piana degli Albanesi and Scanzano. Water samples were collected at two points in each lake and after filtration with nitrocellulose membranes, eDNA was extracted and metabarcoding analysis was performed. A total of 27 species were identified, belonging to Phyla of Annelida, Arthropoda and Rotifera. Notably, the analysis revealed the presence of alien species (
Daphnia parvula and
Acanthocyclops americanus), a dangerous species associated with the transmission of viral diseases (
Culex pipiens), and potential new records for Sicily (
Stylaria lacustris,
Platypalpus exilis,
Pammene aurana,
Limnephilus rhombicus). These results provide a preliminary snapshot of invertebrate biodiversity at these sites, demonstrating how eDNA has the potential to complement, but not replace, traditional methods, contributing to the assessment of ecosystem status.
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