Early Alert of Biological Risk in a Coastal Lagoon Through eDNA Metabarcoding - Université de Perpignan Via Domitia
Article Dans Une Revue Frontiers in Ecology and Evolution Année : 2020

Early Alert of Biological Risk in a Coastal Lagoon Through eDNA Metabarcoding

Résumé

Mediterranean coastal lagoons are environmentally important ecosystems whose conservation has been challenged due to anthropogenic impacts that promoted the expansion of non-indigenous and, sometimes, invasive species. Therefore, it is crucial to inventory biodiversity in these areas for the development of strategies of conservation and management. Classical methods used for biodiversity surveys and detection of non-native species may be unsuccessful for the detection and identification of species in early development stages such as cryptic, microscopic, elusive, and new coming species at low population density. The development of metabarcoding techniques in the last decade offers new opportunities for reliable biodiversity surveillance and facilitates early detection of nuisance species. The objective of this study was to analyze the species occurring in the protected coastal lagoon Canet-Saint Nazaire using a simple sampling protocol based on water samples and environmental DNA (eDNA) metabarcoding with a single barcode (cytochrome c oxidase subunit I [COI] gene). Two invasive species (Polydora cornuta and Acartia tonsa), two polychaete bioindicators of pollution (Hediste diversicolor and Capitella capitata), and one alga that produces harmful algal blooms were detected from only 6 L of water, indicating environmental degradation in the lagoon despite its protected status. These results demonstrate the importance of COI as single barcode together with eDNA as an ecological early warning system and suggest the need for environmental restoration in this lagoon.
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Dates et versions

hal-02936634 , version 1 (11-09-2020)

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Marcos Suarez-Menendez, Serge Planes, Eva Garcia-Vazquez, Alba Ardura. Early Alert of Biological Risk in a Coastal Lagoon Through eDNA Metabarcoding. Frontiers in Ecology and Evolution, 2020, 8, ⟨10.3389/fevo.2020.00009⟩. ⟨hal-02936634⟩
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