Preliminary Studies on the Population Genetics of the Central Stoneroller (Campostoma anomalum) from the Great Miami River Basin, Ohio

Silbiger, Richard N.; Christ, S. A.; Leonard, Anthony; Garg, M.; Lattier, David L.; Dawes, Stephanie E.; Dimsoski, Pero; McCormick, Frank H.; Wessendarp, T.; Gordon, Denise A.; Roth, Annette; Smith, Milton T.; Toth, Gregory P.

doi:10.1007/978-94-011-4976-1_37

Cited by 10 publications

(10 citation statements)

References 16 publications

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“…To illustrate the magnitude of the effect of the bias in Lynch’s estimator on P ‐values for tests comparing within‐group diversities, we re‐analysed some published data from our laboratory on central stonerollers ( Campostoma anomalum ) taken from six different streams (Silbiger et al . 1998).…”

Section: Lynch’s Methods and A Correctionmentioning

confidence: 99%

Hypothesis testing with the similarity index

Leonard¹,

Franson

Hertzberg

et al. 1999

Molecular Ecology

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Multilocus DNA fingerprinting methods have been used extensively to address genetic issues in wildlife populations. Hypotheses concerning population subdivision and differing levels of diversity can be addressed through the use of the similarity index (S), a band-sharing coefficient, and many researchers construct hypothesis tests with S based on the work of Lynch. It is shown in the present study, through mathematical analysis and through simulations, that estimates of the variance of a mean S based on Lynch's work are downwardly biased. An unbiased alternative is presented and mathematically justified. It is shown further, however, that even when the bias in Lynch's estimator is corrected, the estimator is highly imprecise compared with estimates based on an alternative approach such as 'parametric bootstrapping' of allele frequencies. Also discussed are permutation tests and their construction given the interdependence of Ss which share individuals. A simulation illustrates how some published misuses of these tests can lead to incorrect conclusions in hypothesis testing.

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Section: Lynch’s Methods and A Correctionmentioning

confidence: 99%

Hypothesis testing with the similarity index

Leonard¹,

Franson

Hertzberg

et al. 1999

Molecular Ecology

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“…The likelihood of population persistence can depend on the quality of available habitat (Hanski & Gilpin, (Bonnel & Selander, 1974;Allendorf & Leary, 1986;Frankham, 1995;Lynch, 1996;Newman & Pilson, 1997;Saccheri et al, 1998;Westemeier et al, 1998). A prior study of central stonerollers in catchments near Mill Creek found lower genetic diversity within populations occupying poor habitat compared to populations in less impaired habitat (Silbiger, Christ & Leonard, 1998). Gillespie & Guttman (1989) suggested that the allele and genotype frequency shifts they observed in central stoneroller populations were due to selection induced by environmental contaminants.…”

Section: Population Persistence and Habitat Qualitymentioning

confidence: 99%

Source–sink dynamics sustain central stonerollers (Campostoma anomalum) in a heavily urbanized catchment

et al. 2008

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1. The influence of spatial structure on population dynamics within river-stream networks is poorly understood. Utilizing spatially explicit analyses of temporal genetic variance, we tested whether persistence of central stonerollers (Campostoma anomalum) reflects differences in habitat quality and location within a highly modified urban catchment in southwestern Ohio, U.S.A. 2. Estimates of genetic diversity did not vary with habitat quality. Nevertheless, evidence of weak but temporally stable genetic structure, location-dependent effective population sizes and rates of immigration among sites, together suggest that persistence of central stonerollers within the catchment may be attributable to source-sink dynamics driven by habitat heterogeneity. 3. Under this scenario, migrant-pool colonization from areas of relatively high habitat quality in the upper catchment sustains the presence of central stonerollers at degraded sites in the main stem and dampens population subdivision within the catchment. However, because intact habitat is restricted to the upper portion of the catchment, it is not possible to preclude net downstream dispersal as a mechanism contributing to sourcesink dynamics. The slight genetic structure that persists appears to reflect weak isolation by distance diminished by high rates of immigration. 4. This study suggests that without a systems perspective of the conditions that sustain populations in degraded waterways, environmental assessments may underestimate levels of impairment. Conservation and management of stream fishes could be improved by maintaining habitat in areas that are net exporters of migrants or by remediation of impaired habitat.

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“…These tools provide indicative measures for the status and trends of species to be used as sentinels in assessing ecosystem health. Changes in these indicators can occur in populations at stressor levels that have little effect on the functioning of the ecosystem [62] and at a point when the stressor impact may be reversible [63]. In developing molecular techniques as monitoring tools, we have pursued the use of population genetic diversity and structure as indicators for vulnerability to exposure in an aquatic setting.…”

Section: Population Genetic Structure As An Indicatormentioning

confidence: 99%

Use of Molecular Markers to Study the Effects of Environmental Impacts on Genetic Diversity in Brown Bullhead (Ameirus Nebulosus) Populations

Silbiger¹,

Leonard²,

Dimsoski³

et al. 2001

Environ Toxicol Chem

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Conservation biology needs sound biological information in order to maintain biological diversity in the face of the current rate of loss. An important component of the information needed is the level of genetic diversity within and between populations, especially for those species faced with exposure to environmental stressors. We applied multilocus DNA profile analysis (highly variable number tandem repeats [HVNTR] and randomly amplified polymorphic DNA [RAPD] techniques) and allozyme analysis to test whether individuals from historically degraded sites display levels of genetic diversity different from individuals taken from reference sites. Four Lake Erie tributaries, two impacted and two reference sites, were the sources of brown bullhead (Ameiurus nebulosus) samples. Pairwise comparison of the sampled populations demonstrated an association of decreased genetic diversity with exposure of brown bullhead to stressors using both RAPD and HVNTR analysis.

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Preliminary Studies on the Population Genetics of the Central Stoneroller (Campostoma anomalum) from the Great Miami River Basin, Ohio

Cited by 10 publications

References 16 publications

Hypothesis testing with the similarity index

Hypothesis testing with the similarity index

Source–sink dynamics sustain central stonerollers (Campostoma anomalum) in a heavily urbanized catchment

Use of Molecular Markers to Study the Effects of Environmental Impacts on Genetic Diversity in Brown Bullhead (Ameirus Nebulosus) Populations

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