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A multivariate biomarker‐based model predicting population‐level responses of Daphnia magna
Author(s) -
De Coen Wim M.,
Janssen Colin R.
Publication year - 2003
Publication title -
environmental toxicology and chemistry
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.1
H-Index - 171
eISSN - 1552-8618
pISSN - 0730-7268
DOI - 10.1897/02-223
Subject(s) - pyruvate kinase , population , lactate dehydrogenase , daphnia magna , biology , daphnia , glycogen phosphorylase , chemistry , biochemistry , glycogen , metabolism , enzyme , toxicity , ecology , glycolysis , demography , organic chemistry , crustacean , sociology
A multivariate model is proposed relating short‐term biomarker measurements in Daphnia magna to chronic effects (21‐d exposure) occurring at the population level (time to death, mean brood size, mean total young per female, intrinsic rate of natural increase, net reproductive rate, and growth). The results of the short‐term exposure (48h‐96 h) to eight model toxicants (cadmium, chromium, mercury, tributyl tin, linear alkylsulfonic acid, sodium pentachlorophenolate, lindane, and 2,4‐dichloro‐phenoxyacetic acid) on the following biomarkers were used for the multivariate model: digestive enzymes (amylase, cellulase, β‐galactosidase, trypsin, and esterase), enzymes of the intermediary metabolism (glycogen phosphorylase, glucose‐6‐phosphate de‐hydrogenase, pyruvate kinase, lactate dehydrogenase, and isocitrate dehydrogenase), cellular energy allocation (CEA) (protein, carbohydrate, and lipid content and electron transport activity), and DNA damage and antioxidative stress activity. Using partial least squares to latent structures (PLS), a two‐component model was obtained with R 2 of 0.68 and a Q 2 value of 0.60 based on the combined analysis of a limited number of the 48‐ and 96‐h biomarker responses. For the individual population‐level responses, the R 2 values varied from 0.66 to 0.77 and the Q 2 values from 0.52 to 0.69. Energy‐related biomarkers (cellular energy allocation, lipid contents, anaerobic metabolic activity—pyruvate kinase, and lactate dehydrogenase), combined with parameters related to oxidative stress (catalase) and DNA damage measured after 48 and 96 h of exposure, were able to predict long‐term effects at higher levels of biological organization.