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Updated: Jan 15, 2026

Shifting Zebrafish Lethal Skeletal Mutant Penetrance by Progeny Testing

Shifting Zebrafish Lethal Skeletal Mutant Penetrance by Progeny Testing

Published on: September 1, 2017

Large-scale mapping of mutations affecting zebrafish development.

Robert Geisler¹, Gerd-Jörg Rauch, Silke Geiger-Rudolph

¹Department 3--Genetics, Max-Planck-Institut für Entwicklungsbiologie, Spemannstr, 35/III, 72076 Tübingen, Germany. robert.geisler@tuebingen.mpg.de

|January 11, 2007

Summary

This summary is machine-generated.

Researchers mapped over 300 zebrafish developmental genes using microsatellite markers. This efficient genome scanning method aids in identifying genes controlling development and suggesting allelism for future screens.

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Last Updated: Jan 15, 2026

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Area of Science:

Developmental Biology
Genetics
Zebrafish Models

Background:

Large-scale mutagenesis screens in zebrafish using N-ethyl-N-nitrosourea (ENU) have identified numerous mutant loci potentially involved in developmental control.
Systematic genetic mapping is crucial for leveraging the full potential of these mutagenesis screens.
This study focuses on mapping mutations from screens conducted at the Max Planck Institute for Developmental Biology.

Purpose of the Study:

To systematically map hundreds of zebrafish mutations generated through large-scale mutagenesis screens.
To develop and apply efficient, high-throughput genome scanning methods using microsatellite markers.
To facilitate the identification of genes underlying developmental phenotypes in zebrafish.

Main Methods:

Selection and optimization of microsatellite markers for efficient genome scanning.
Development of standardized methods and scoring criteria for high-throughput analysis.
Application of genome scanning to map 319 mutant loci from the Tübingen I mutagenesis screen and subsequent collections.

Main Results:

Successfully mapped the rough genomic position for 319 mutant loci, with genes identified for 42 loci.
Achieved a mapping success rate of 80% for tested loci.
Validated linkage group assignments by comparing with 21 cloned mutations, estimating map position accuracy at approximately 6 centiMorgans (cM).

Conclusions:

Generated a valuable dataset of rough map positions for over 300 zebrafish loci with developmental phenotypes.
The dataset will aid in cloning affected genes and identifying allelism between mutations with similar phenotypes.
Validated the methodology as rapid, systematic, and cost-effective for microsatellite mapping of zebrafish mutations.