Modelling interactions of acid–base balance and respiratory status in the toxicity of metal mixtures in the American oyster Crassostrea virginica
Macey, Brett M.
Jenny, Matthew J.
Williams, Heidi R.
Thibodeaux, Lindy K.
Almeida, Jonas S.
Warr, Gregory W.
Burge, Erin J.
Holland, A. Fredrick
Gross, Paul S.
Burnett, Karen G.
Chapman, Robert W.
MetadataShow full item record
KeywordHeavy metals; Artificial neural networks; Crassostrea virginica; Lipid peroxidation; Glutathione; Acid-base balance; Hemolymph PO2
Heavy metals, such as copper, zinc and cadmium, represent some of the most common and serious pollutants in coastal estuaries. In the present study, we used a combination of linear and artificial neural network (ANN) modelling to detect and explore interactions among low-dose mixtures of these heavy metals and their impacts on fundamental physiological processes in tissues of the Eastern oyster, Crassostrea virginica. Animals were exposed to Cd (0.001 – 0.400 μM), Zn (0.001 – 3.059 μM) or Cu (0.002 – 0.787 μM), either alone or in combination for 1 to 27 days. We measured indicators of acid-base balance (hemolymph pH and total CO2), gas exchange (Po2), immunocompetence (total hemocyte counts, numbers of invasive bacteria), antioxidant status (glutathione, GSH), oxidative damage (lipid peroxidation; LPx), and metal accumulation in the gill and the hepatopancreas. Linear analysis showed that oxidative membrane damage from tissue accumulation of environmental metals was correlated with impaired acid-base balance in oysters. ANN analysis revealed interactions of metals with hemolymph acid-base chemistry in predicting oxidative damage that were not evident from linear analyses. These results highlight the usefulness of machine learning approaches, such as ANNs, for improving our ability to recognize and understand the effects of sub-acute exposure to contaminant mixtures.
Author Posting. © The Author(s), 2009. This is the author's version of the work. It is posted here by permission of Elsevier B.V. for personal use, not for redistribution. The definitive version was published in Comparative Biochemistry and Physiology - Part A: Molecular & Integrative Physiology 155 (2010): 341-349, doi:10.1016/j.cbpa.2009.11.019.
Showing items related by title, author, creator and subject.
Upward swimming of competent oyster larvae Crassostrea virginica persists in highly turbulent flow as detected by PIV flow subtraction Wheeler, J. D.; Helfrich, Karl R.; Anderson, Erik J.; McGann, B.; Staats, P.; Wargula, Anna E.; Wilt, K.; Mullineaux, Lauren S. (Inter-Research, 2013-08-15)Investigating settlement responses in the transitory period between planktonic and benthic stages of invertebrates helps shape our understanding of larval dispersal and supply, as well as early adult survival. Turbulence ...
Development and validation of a real-time quantitative PCR assay for the detection and quantification of Perkinsus marinus in the Eastern oyster, Crassostrea virginica De Faveri, Jacquelin; Smolowitz, Roxanna M.; Roberts, Steven B. (National Shellfisheries Association, 2009-08)Perkinus marinus causes a devastating disease, known as Dermo, in the Eastern oyster Crassostrea virginica. Routine detection of the disease is traditionally accomplished by the use of the Ray/Makin assay, using Fluid ...
de Toledo-Silva, Guilherme; Siebert, Marília N.; Medeiros, Igor D.; Sincero, Thaís C. M.; Moraes, Milton O.; Goldstone, Jared V.; Bainy, Afonso C. D. (2008-02)We have cloned the full-length cDNA of the first member of a new cytochrome P450 (CYP) family from the Pacific oyster Crassostrea gigas. This new CYP gene was obtained based on an initial 331 bp fragment previously ...