title: Integration of biochemical, histochemical and toxicogenomic indices for the assessment of health status of mussels from the Tamar Estuary, U.K.
abstract: The aim of this study was to examine whether a combination of biochemical, histopathological and toxicogenomic data could be used as a valuable tool for the assessment of biological risk associated with pollutants within the Tamar River and Estuary, S.W. England, U.K. Accordingly, biochemical and histopathological biomarkers (protein carbonyls, lipofuscin, neutral lipids, lysosomal stability [N-acetyl-β-hexosaminidase and neutral red], lysosomal volume, ferric reducing antioxidant power [FRAP] and malonaldehyde [MDA]) and gene expression profiles were assessed in 5 sites from the Tamar River and Estuary (Neal Point, Town Quay, Wilcove, Cremyll Ferry and Whitsand; and a reference site, Trebarwith Strand, N. Cornwall). PAHs were measured in mussel tissue and sediment and metals were measured in mussel tissue only. Data from the biomarkers was integrated into a Mussel Expert System (MES) model to produce a simple assessment of mussel stress. Clear gradients of mussel toxicity were identified by the biomarkers (with the exception of neutral lipids) with the highest impacted animals found furthest up the Tamar, whilst the MES was unable to identify a gradient of effect. Gene expression profiles also indicated a gradient of stress with the greatest number of significantly up- or down- regulated genes found at the uppermost 2 sites. The MES did, however, determine that mussels from all sites, except the reference site, were highly stressed; a conclusion that could not be inferred from the biomarker data alone. It is concluded that the MES is a valuable tool that permits integration and interpretation of complex sets of biomarker data by identifying the biological meaning of biomarker changes.
authors.affiliation: Plymouth Marine Laboratory, Prospect Place, Plymouth PL13DH, UK. jens@pml.ac.uk
authors.forename: J P
authors.initials: JP
authors.lastname: Shaw
authors.forename: F
authors.initials: F
authors.lastname: Dondero
authors.forename: M N
authors.initials: MN
authors.lastname: Moore
authors.forename: A
authors.initials: A
authors.lastname: Negri
authors.forename: A
authors.initials: A
authors.lastname: Dagnino
authors.forename: J W
authors.initials: JW
authors.lastname: Readman
authors.forename: D R
authors.initials: DR
authors.lastname: Lowe
authors.forename: P E
authors.initials: PE
authors.lastname: Frickers
authors.forename: A
authors.initials: A
authors.lastname: Beesley
authors.forename: J E
authors.initials: JE
authors.lastname: Thain
authors.forename: A
authors.initials: A
authors.lastname: Viarengo
mesh_terms: D000818:Animals; D049872:Bivalvia / Q000187:drug effects* / Q000235:genetics / Q000378:metabolism; D017753:Ecosystem; D004739:England; D004784:Environmental Monitoring / Q000379:methods*; D020869:Gene Expression Profiling; D005786:Gene Expression Regulation / Q000187:drug effects; D050356:Lipid Metabolism; D008062:Lipofuscin / Q000378:metabolism; D008247:Lysosomes; D008315:Malondialdehyde / Q000378:metabolism; D009792:Oceans and Seas; D040081:Protein Array Analysis; D045483:Rivers / Q000737:chemistry*; D054712:Salinity; D043922:Toxicogenetics; D014874:Water Pollutants, Chemical / Q000633:toxicity*; D001619:beta-N-Acetylhexosaminidases / Q000378:metabolism
chemical_list: D008062:Lipofuscin; D014874:Water Pollutants, Chemical; D008315:Malondialdehyde; D001619:beta-N-Acetylhexosaminidases