Developing and testing a new Ecological Quality Status index based on marine nematode metabarcoding: A proof of concept

11 pages, 10 figures, supplementary data https://doi.org/10.1016/j.chemosphere.2024.143992.-- Data availability: Data will be made available on request.

Nematodes are the most diverse and dominant group of marine meiofauna with high potential as bioindicators of the ecological quality status (EcoQS). The present study explores, for the first time, the applicability of the nematode metabarcoding to infer EcoQS index based on the calibration of ecological behaviors of nematodes Amplicon Sequence Variants (ASVs). To achieve this, we analyzed the nematode community in sediment eDNA samples collected in 2018 and 2021 in areas around three offshore oil platforms in the Danish west coast of the North Sea. One training dataset based on eDNA and environmental data from the three platforms in 2021 covering a wide range of environmental gradients has been used as a training dataset to assign the nematodes ASVs to Ecological Groups. These assignments then allowed us to infer the EcoQS both around these three platforms and in an independent dataset (one of the platforms sampled in 2018). The EcoQS inferred from the nema-gAMBI is perfectly in line with the pollution gradient of the platforms. In fact, stations located close to the platforms (i.e., 100 m and 250 m) show a relatively lower EcoQS than those at greater distance (i.e., reference or 3000 m). The nema-gAMBI seems to capture well the EcoQS variability around platforms and correlates well with the environmental parameters (e.g., trace element and hydrocarbon pollution). Indeed, the nema-gAMBI is positively and significantly correlated with the traditional macrofauna-based AMBI. The present proof of concept strongly advocates for the application of the nematode eDNA-based index in the evaluation of EcoQS

MG was supported by a Juan de la Cierva-formación 2021 fellowship (FJC2021–047494-I/MCIN/AEI/10.13039/501100011033) from the European Union “NextGenerationEU”/PRTR and by the Beatriu de Pinós programme (2022 BP 00209) funded by the Direcció General de Recerca (DGR) del Departament de Recerca i Universitats (REU) of the Government of Catalonia. JP acknowledges support from the European Union (GA#101059915, BIOcean5D)

With the institutional support of the ‘Severo Ochoa Centre of Excellence’ accreditation (CEX2019-000928-S)

Peer reviewed