Large-Scale Mapping of Mutations Affecting Zebrafish Development

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Large-Scale Mapping of Mutations Affecting Zebrafish Development

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Title: Large-Scale Mapping of Mutations Affecting Zebrafish Development
Author: Geisler, Robert; Rauch, Gerd-Jörg; Geiger-Rudolph, Silke; Albrecht, Andrea; van Bebber, Frauke; Berger, Andrea; Busch-Nentwich, Elisabeth; Dahm, Ralf; Dekens, Marcus PS; 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; Küchler, Axel M; Maderspacher, Florian; Neuhauss, Stephan C; Nicolson, Teresa; Ober, Elke A; Rentzsch, Brit; Rick, Jens M; Rief, Eva; Schauerte, Heike E; Schepp, Carsten P; Schönberger, Ulrike; Schonthaler, Helia B; Seiler, Christoph; Sidi, Samuel; Söllner, Christian; Wehner, Anja; Weiler, Christian; Nüsslein-Volhard, Christiane; Praeg, Elke; Ray, Russell

Note: Order does not necessarily reflect citation order of authors.

Citation: Geisler, Robert, Gerd-Jörg Rauch, Silke Geiger-Rudolph, Andrea Albrecht, Frauke van Bebber, Andrea Berger, Elisabeth Busch-Nentwich, et al. 2007. Large-scale mapping of mutations affecting zebrafish development. BMC Genomics 8: 11.
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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 Tübingen 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.
Published Version: doi:10.1186/1471-2164-8-11
Terms of Use: This article is made available under the terms and conditions applicable to Other Posted Material, as set forth at
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