Literature DB >> 20162372

Seasonal variation of pollution biomarkers to assess the impact on the health status of juvenile Pacific oysters Crassostrea gigas exposed in situ.

Andrea Luna-Acosta1, Paco Bustamante, Joachim Godefroy, Ingrid Fruitier-Arnaudin, Hélène Thomas-Guyon.   

Abstract

BACKGROUND, AIM, AND SCOPE: In this study, a suite of sublethal stress biomarkers were analyzed in juveniles of the sentinel species, the Pacific oyster Crassostrea gigas, with a view to using them as pollution monitoring tools. The aim of this work was (1) to study baseline seasonal variations of biomarkers in different body compartments of C. gigas in the reference site and, after selecting biomarkers presenting no seasonal variations, (2) to compare responses of these biomarkers between contaminated and reference sites.
MATERIALS AND METHODS: Juvenile oysters were transplanted from Bouin (France), a reference site, to three different sites in Marennes-Oleron Bay (France), located in another water body and next to different contamination sources. Animals were exposed in situ for 3 months in summer, autumn, and winter. The following biomarkers were measured: superoxide dismutase (SOD) and glutathione peroxidase (GPx) in gills and digestive gland and lysozyme and phenoloxidase (PO) in plasma.
RESULTS: No significant seasonal variations for SOD in gills and digestive gland, GPx in gills, and PO in plasma were observed in the reference site. Significant differences in enzyme activity were observed between contaminated and reference sites for SOD in gills and digestive gland and PO in plasma, depending on the body compartment, the season, and/or the site.
CONCLUSIONS: In conclusion, these data suggest the potential application of these biomarkers in C. gigas to provide ecologically relevant information and, therefore, to be used as biomarkers in coastal pollution monitoring.

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Year:  2010        PMID: 20162372     DOI: 10.1007/s11356-009-0287-1

Source DB:  PubMed          Journal:  Environ Sci Pollut Res Int        ISSN: 0944-1344            Impact factor:   4.223


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