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  • 1
    ISSN: 1573-3017
    Keywords: fish ; mercury ; natural selection ; allozyme ; population
    Source: Springer Online Journal Archives 1860-2000
    Topics: Energy, Environment Protection, Nuclear Power Engineering
    Notes: Abstract Measurements of the differential tolerance between enzyme genotypes and shifts in allozyme frequencies in populations from contaminated habitats have prompted the use of allozymes as markers of population-level toxicant effects. However, such studies often do not consider other factors that influence allele frequencies, including natural clines, migration, the intensity and specificity of selection and toxicant-induced genetic bottlenecks. In addition, selection components other than survival are not included. Consequently, the associated conclusions remain speculative. To assess this approach rigorously, a simulation study was conducted with the mosquitofish (Gambusia holbrooki) GPI-2 locus. Laboratory studies have shown the GPI-238/38 homozygote at this locus to be less tolerant than other genotypes during acute exposure to mercury. The GPI-2100/100 genotype has also been shown to have a reproductive disadvantage at lower mercury concentrations. Simple and then more complex models were used to quantify the relative effects of viability selection, random genetic drift and migration on the GPI-238 allele frequency. Simulations were also performed to assess the contribution of sexual and fecundity selection. A simple population model suggested that viability selection plays a greater role than does mortality-driven, genetic drift in the decrease of the sensitive allele under the conditions of this study. A more complex, stochastic model indicated that no significant mortality-driven drift was taking place in this system. In both models, migration mitigated the effect of selection. Sexual and fecundity selection had little effect on the allele frequencies in these simulations. We conclude that, provided the system under study is clearly understood, shifts in allele frequency can indicate the population-level effects of pollutants.
    Type of Medium: Electronic Resource
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  • 2
    Electronic Resource
    Electronic Resource
    Springer
    Ecotoxicology 6 (1997), S. 293-306 
    ISSN: 1573-3017
    Keywords: toxicity ; NOEC ; prediction ; extrapolation ; bootstrapping
    Source: Springer Online Journal Archives 1860-2000
    Topics: Energy, Environment Protection, Nuclear Power Engineering
    Notes: Abstract Recent estimations of NOEC (no observed effect concentration) values for communities use single species effect data to predict the concentration at which not more than some particular acceptable percentage of the species in a community will be affected. This method has a number of difficulties, not the least of which is obtaining effects data for enough of the right species to accurately represent the whole community. Typically one has to make do with existing data sets in which the choice of species tested has been made for convenience rather than representativeness. Usually the raw data alone are not sufficient to make reasonable estimates. Statistical methods have been proposed which deal with this problem by assigning a specific distribution to the data. But assumption of a specific distribution may not be valid. We present an alternative method and an associated computer program which use resampling (bootstrap) methods to estimate the NOEC without assuming a specific distribution. This method has the advantage that no underlying distribution is assumed. Simulated and published data sets were used to compare this approach with published methods. The use of this technique to assess representativeness was also demonstrated
    Type of Medium: Electronic Resource
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  • 3
    Publication Date: 1996-01-01
    Print ISSN: 0304-3800
    Electronic ISSN: 1872-7026
    Topics: Biology
    Published by Elsevier
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