Published: Jan. 1, 2022
Chemical pollution is one of the main contributors to degradation lotic ecosystems and their biodiversity. Among chemicals driving biodiversity decline are anthropogenic organic micropollutants (AOM), which affect survival functioning freshwater organisms. Continuous exposure organisms AOM leads adverse effects that sometimes cannot be traced with standard toxicity methods such as testing or indices. these selective mutagenic cause impaired species genetic diversity. Thus, correlation between different levels diversity still poorly understood. However, it can explored by applying population genetics screening. In Chapter 1 this thesis, background information on environmental pollution, screening, detection evolutionary-relevant in described thesis goals identified. The goal study whether occurring European rivers causes a significant evolutionary footprint selection more tolerant geno-and phenotypes. Therefore, indices together high-resolution chemical screening widespread indicator invertebrate species, Gammarus pulex (Linnaeus, 1758), living polluted pristine were investigated. 2, development method for G. (microsatellites) described. Due differentiation presence morphologically cryptic lineages, available sets target loci do not enable reliable characterization from central Germany. novel set microsatellite high-precision assessment was here applied. Eleven first identified thereafter amplified three rivers. new reliably indicated polymorphisms studied amphipods. amplification resulted successful identification genetically distinct populations analyzed Moreover, other lineages another fossarum, promising broader applicability related amphipod species. 3, sensitivity toxic typical river AOM-polluted sections river’s site-specific concentrations assessed analysis tissue water samples. To test, select pollution-dependent genotypes, structure analyzed. Finally, toxicokinetics commonly used insecticide imidacloprid determined amphipods sampled at assess various influence imidacloprid. results did drive divergence within but led an increased exposed sensitive due chronic AOM. 4, relationship parameters regional scale six area tested relatedness waterway distance sites. parameters, including allelic richness inbreeding rate, against using linear mixed-effect- structural-equation models. According results, significantly associated detected levels. At sites high potential showed reduced rates inbreeding. These suggest play major role shaping findings presented here, applied microsatellites successfully detect changes patterns facing indicate representative lead separation genotypes among connectivity majorly contributes species’ structure. reduction increases effects.
Language: Английский