Among‐ and within‐population variability in tolerance to cadmium stress in natural populations of Daphnia magna: Implications for ecological risk assessment
- 1 May 2002
- journal article
- research article
- Published by Oxford University Press (OUP) in Environmental Toxicology and Chemistry
- Vol. 21 (5) , 1058-1064
- https://doi.org/10.1002/etc.5620210523
Abstract
Previous attempts to test the hypothesis that laboratory selection of isogenetic populations can produce test organisms with a significantly increased mean tolerance to toxic substances have failed. One possible explanation for such failure is that the tolerance of laboratory populations is largely constrained by their origins (were the source populations composed of tolerant genotypes?). To address this question, among‐ and within‐population variability in stress tolerance was assessed by calculating the variance in individual fitness and longevity across a cadmium gradient (0—10 μg/L). The study employed Daphnia magna clones from four geographically separate European populations. Results revealed significant differences in tolerance to lethal levels of toxic stress among populations. The distribution of tolerances within two of the studied populations showed high amounts of genetic variation in tolerance. Genetic relationships between tolerance traits and life history performance under nonstressful environments differed among the studied populations. One population showed significant but low costs associated with tolerance, whereas no costs were associated with tolerance in the other population. These results suggest that laboratory selection will favor individuals with high fitness or reproductive performance under optimal laboratory conditions resulting in laboratory populations with similar or lower tolerance to toxic stress than their original field populations. Given that populations can exhibit high levels of genetic variability in tolerance to toxic stress, minimizing genetic diversity in toxicity tests will increase the uncertainty attendant in extrapolating from the lab to the field.Keywords
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