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Geisler, Robert; Rauch, Gerd-Joerg; Geiger-Rudolph, Silke; Albrecht, Andrea; Bebber, Frauke van; Berger, Andrea; Busch-Nentwich, Elisabeth; Dahm, Ralf; Dekens, Marcus P. S.; Dooley, Christopher; Elli, Alexandra F.; Gehring, Ines; Geiger, Horst; Geisler, Maria; Glaser, Stefanie; Holley, Scott; Huber, Matthias; Kerr, Andy; Kirn, Anette; Knirsch, Martina; Konantz, Martina; Kuechler, Axel M.; Maderspacher, Florian; Neuhauss, Stephan C.; Nicolson, Teresa; Ober, Elke A.; Praeg, Elke; Ray, Russell; Rentzsch, Brit; Rick, Jens M.; Rief, Eva; Schauerte, Heike E.; Schepp, Carsten P.; Schoenberger, Ulrike; Schonthaler, Helia B.; Seiler, Christoph; Sidi, Samuel; Soellner, Christian; Wehner, Anja; Weiler, Christian and Nuesslein-Volhard, Christiane (2007): Large-scale mapping of mutations affecting zebrafish development. In: BMC Genomics 8:11 [PDF, 307kB]

Abstract

Background: Large-scale mutagenesis screens in the zebrafish employing the mutagen ENU have isolated several hundred mutant loci that represent putative developmental control genes. In order to realize the potential of such screens, systematic genetic mapping of the mutations is necessary. Here we report on a large-scale effort to map the mutations generated in mutagenesis screening at the Max Planck Institute for Developmental Biology by genome scanning with microsatellite markers. Results: We have selected a set of microsatellite markers and developed methods and scoring criteria suitable for efficient, high-throughput genome scanning. We have used these methods to successfully obtain a rough map position for 319 mutant loci from the Tubingen I mutagenesis screen and subsequent screening of the mutant collection. For 277 of these the corresponding gene is not yet identified. Mapping was successful for 80 % of the tested loci. By comparing 21 mutation and gene positions of cloned mutations we have validated the correctness of our linkage group assignments and estimated the standard error of our map positions to be approximately 6 cM. Conclusion: By obtaining rough map positions for over 300 zebrafish loci with developmental phenotypes, we have generated a dataset that will be useful not only for cloning of the affected genes, but also to suggest allelism of mutations with similar phenotypes that will be identified in future screens. Furthermore this work validates the usefulness of our methodology for rapid, systematic and inexpensive microsatellite mapping of zebrafish mutations.

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