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MICROSATELLITE CHARACTERIZATION IN CENTRAL STONEROLLER CAMPOSTOMA ANOMALUM (PISCES: CYPRINIDAE)
Citation:
Dimsoski, P., G P. Toth, AND M J. Bagley. MICROSATELLITE CHARACTERIZATION IN CENTRAL STONEROLLER CAMPOSTOMA ANOMALUM (PISCES: CYPRINIDAE). MOLECULAR ECOLOGY 9(12):2187-2189, (2000).
Impact/Purpose:
The objective of this task is to develop molecular indicators to evaluate the integrity and sustainability of aquatic fish, invertebrate, and plant communities (GPRA goal 4.5.2). Specifically, this subtask aims to evaluate methods for the measurement of:
fish and invertebrate community composition, especially for morphologically indistinct (cryptic) species
population genetic structure of aquatic indicator species and its relationship to landscape determinants of population structure (to aid in defining natural assessment units and to allow correlation of population substructure with regional stressor coverages)
genetic diversity within populations of aquatic indicator species, as an indicator of vulnerability to further exposure and as an indicator of cumulative exposure
patterns of temporal change in genetic diversity of aquatic indicator species, as a monitoring tool for establishing long-term population trends.
Description:
The central stoneroller (Campostoma anomalum) is a small cyprinid fish that is native to streams and rivers of central and eastern North America. It can be found in a range of anthropo- genically modified habitats, ranging from nearly pristine to highly polluted waters (Zimmerman et al. 1980), and has intermediate sensitivity to habitat degradation relative to other fishes in the region (Zimmerman et al. 1980, Gillespie and Guttman 1989). The species is the focus of intensive study by the United States Environmental Protection Agency due to its biological and distributional characteristics. An important aspect of this research is to understand the fine-scale genetic structure of the species across its native range and to determine how this "genetic landscape" relates to underlying enviornmental processes. To date, genetic analyses have focused on multi-locus fingerprints generated by the RAPD method to delineate levels of similarity among and within populations (Silbiger et al. 1998). Because allelic counts are highly sensitive to recent changes in population size, highly polymorphic microsatellite DNA markers should provide genetic information that is highly complementary to the RAPD data and may reveal finer levels of populations structuring. Here, we report a suite of highly polymorphic microsatellite markers developed for the central stoneroller.