Benthic foraminiferal metabarcoding and morphology-based assessment around three offshore gas platforms: Congruence and complementarity.


Journal

Environment international
ISSN: 1873-6750
Titre abrégé: Environ Int
Pays: Netherlands
ID NLM: 7807270

Informations de publication

Date de publication:
11 2020
Historique:
received: 22 04 2020
revised: 07 08 2020
accepted: 07 08 2020
pubmed: 25 8 2020
medline: 12 1 2021
entrez: 25 8 2020
Statut: ppublish

Résumé

Since the 1960 s, there has been a rapid expansion of drilling activities in the central and northern Adriatic Sea to meet the increasing global energy demand. The discharges of organic and inorganic pollutants, as well as the alteration of the sediment substrate, are among the main impacts associated with these activities. In the present study, we evaluate the response of benthic foraminifera to the activities of three gas platforms in the northwestern Adriatic Sea, with a special focus on the Armida A platform for which extensive geochemical data (organic matter, trace elements, polycyclic aromatic hydrocarbons, other hydrocarbons, and volatile organic compounds) are available. The response to disturbance is assessed by analyzing the foraminiferal diversity using the traditional morphology-based approach and by 18S rDNA-based metabarcoding. The two methods give congruent results, showing relatively lower foraminiferal diversity and higher dominance values at stations closer to the platforms (<50 m). The taxonomic compositions of the morphological and metabarcoding datasets are very different, the latter being dominated by monothalamous, mainly soft-walled species. However, compositional changes consistently occur at 50 m from the platform and can be related to variations in sediment grain-size variation and higher concentrations of Ni, Zn, Ba, hydrocarbons and total organic carbon. Additionally, several morphospecies and Molecular Operational Taxonomic Units (MOTUs) show strong correlations with distance from the platform and with environmental parameters extracted from BIOENV analysis. Some of these MOTUs have the potential to become new bioindicators, complementing the assemblage of hard-shelled foraminiferal species detected through microscopic analyses. The congruence and complementarity between metabarcoding and morphological approaches support the application of foraminiferal metabarcoding in routine biomonitoring surveys as a reliable, time- and cost-effective methodology to assess the environmental impacts of marine industries.

Identifiants

pubmed: 32835923
pii: S0160-4120(20)32004-3
doi: 10.1016/j.envint.2020.106049
pii:
doi:

Substances chimiques

Polycyclic Aromatic Hydrocarbons 0
Water Pollutants, Chemical 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

106049

Informations de copyright

Copyright © 2020 The Author(s). Published by Elsevier Ltd.. All rights reserved.

Auteurs

Fabrizio Frontalini (F)

Dipartimento di Scienze Pure e Applicate, Università degli Studi di Urbino "Carlo Bo", Urbino, Italy.

Tristan Cordier (T)

Department of Genetics and Evolution, University of Geneva, Geneva, Switzerland.

Eszter Balassi (E)

Dipartimento di Scienze Pure e Applicate, Università degli Studi di Urbino "Carlo Bo", Urbino, Italy.

Eric Armynot du Chatelet (E)

Laboratoire d'Océanologie et de Géosciences UMR 8187 LOG CNRS/Lille/ULCO, Université de Lille, Bât SN5, Cité Scientifique, 59655 Villeneuve d'Ascq, France.

Kristina Cermakova (K)

ID-Gene ecodiagnostics, Campus Biotech Innovation Park, 1202 Geneva, Switzerland.

Laure Apothéloz-Perret-Gentil (L)

Department of Genetics and Evolution, University of Geneva, Geneva, Switzerland; ID-Gene ecodiagnostics, Campus Biotech Innovation Park, 1202 Geneva, Switzerland.

Maria Virginia Alves Martins (MVA)

Laboratory of Micropaleontology, Universidade do Estado do Rio de Janeiro, Rio de Janeiro, Brazil; Universidade de Aveiro, GeoBioTec, Departamento de Geociências, Aveiro, Portugal.

Carla Bucci (C)

Dipartimento di Scienze Pure e Applicate, Università degli Studi di Urbino "Carlo Bo", Urbino, Italy.

Enrico Scantamburlo (E)

SGS Italia S.p.A., 35010, Villafranca Padovana, Italy.

Mauro Treglia (M)

Ecol Studio S.p.A. 35127, Padova, Italy.

Vladimiro Bonamin (V)

SGS Group Management Ltd, 1211, Geneva 1, Switzerland.

Jan Pawlowski (J)

Department of Genetics and Evolution, University of Geneva, Geneva, Switzerland; ID-Gene ecodiagnostics, Campus Biotech Innovation Park, 1202 Geneva, Switzerland; Institute of Oceanology, Polish Academy of Sciences, 81-712 Sopot, Poland.

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