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<br />to be captured in trammel nets at lakeshore spawning areas and in tributaries during <br />spawning migrations. Each captured sucker was physically handled in order to scan for <br />the presence of a passive integrated transponder (PIT) tag. A difficulty in capture- <br />recapture studies is that parameter estimate precision and effective modeling depend not <br />only on the number of animals captured and released, but also on the number surviving <br />and subsequently captured again. Although sampling effort and sample sizes increased <br />substantially beginning in 1999, recapture probability estimates continued to remain <br />below ten percent. Low recapture probabilities have resulted in consistently poor <br />parameter estimate precision. In addition to trammel net capture methods, efforts were <br />made in 2005 to increase recapture probability using remote PIT tag detection stations <br />and a resistance board weir on the main spawning tributary to Upper Klamath Lake. In <br />the first year of operation, the weir and remote PIT tag antennas dramatically increased <br />detection probabilities of previously tagged fish. In 2005,5799 individual PIT tags were <br />detected with remote antennas at the weir, compared to approximately 1000 tags detected <br />in 2004 using past capture, handle and release methods. <br /> <br />3. Analysis of a preliminary microsatellite dataset for wild and captive <br />populations of humpback chub, Gila cypha. <br /> <br />Authors: ALLAN STRAND, College of Charleston, Grice Marine Laboratory, 205 Ft. <br />Johnson Rd Charleston, SC 29412, stranda@cofc.edu; CONNIE KEELER-FOSTER, <br />USFWS, Dexter National Fish Hatchery and Technology Center, Dexter, NM 88230, <br />Connie _ KeelerFoster@fws.gov <br /> <br />Abstract: In this study, we compared a captive stock and three wild-sampled <br />populations of humpback chub using microsatellites, a neutral genetic marker. Our <br />primary objective was to examine the captive population as a potential broodstock. <br />Secondarily, we intend to develop a comprehensive strategy to develop the captive stock <br />as a refugial population genetically synonymous with the Little Colorado River (LCR) <br />population. <br />First we estimated the power of the wild samples to capture the genetic diversity <br />present in nature. We used a binomial approximation and assumed panmixia for this <br />simple analysis. The results suggest that two of the three wild-caught samples are large <br />enough to ensure a 95% chance of detecting an allele segregating at a frequency greater <br />than 0.1 O. We then used a suite of six primers developed initially for Bonytail (Gila <br />elegans) to genotype the captive and wild-caught samples. Wild caught populations did <br />not have significantly greater levels of genetic diversity than the captive population as <br />measured by Nei's index of gene diversity. Furthermore, the captive population appears <br />to possess the same alleles at similar frequencies: there is no evidence for genotypic <br />differentiation among any of the populations assayed, wild-caught or otherwise. Based <br />upon this preliminary dataset, it appears that the captive population housed at Willow <br />Beach represents a valuable genetic resource for recovery efforts. <br /> <br />7 <br />