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PRELIMINARY STUDIES ON THE POPULATION GENETICS OF THE CENTRAL STONEROLLER (CAMPOSTOMA ANOMALUM) FROM THE GREAT MIAMI RIVER BASIN, OHIO
Citation:
Silbiger, R. N., S. Jackson, A. C. Leonard, M. Garg, D. L. Lattier, S. Dawes, P. Dimsoski, F. Mccormick, T. Wessendarp, D. Burks, A. Roth, M. Smith, AND G. Toth. PRELIMINARY STUDIES ON THE POPULATION GENETICS OF THE CENTRAL STONEROLLER (CAMPOSTOMA ANOMALUM) FROM THE GREAT MIAMI RIVER BASIN, OHIO. Environmental Monitoring and Assessment 51(1-2):481-495, (1998).
Description:
Molecular approaches are particularly useful for measuring genetic diversity and were applied to samples of central stonerollers obtained from sites along tributaries to the Great Miami River in Ohio. We used Random Amplified Polymorphic DNA (RAPD) analysis to assess the level of genetic diversity within and among these populations. RAPD analysis generates genetic profiles that were used to develop indices of genetic similarity. The RAPD method provides a cost effective means of generating an arbitrary sample of anonymous loci across the genome and generate a virtually unlimited set of loci for use in genetic analysis in the absence of specific sequence information. These attributes make RAPDs well suited for use in evaluating the diversity and assessing the potential vulnerability to exposure of populations across multiple spatial scales. The results demonstrate that a significant amount of structuring exists among populations analyzed to date and that a trend exists towards genetic diversity being an inverse function of site distance from the main stem as well as a being directly related to stream order. This indicates that populations farthest from main conduits or in lower order streams, and thereby most isolated, may be the most vulnerable populations to stressor exposure. It is hoped that information pertaining to genetic diversity, when integrated with other metrics of resource condition, will aid in making scientifically grounded decisions on resource management that enhance the probability of population survival and preserve natural evolutionary processes.