title: Efficient mutation identification in zebrafish by microarray capturing and next generation sequencing.
abstract: Fish models like medaka, stickleback or zebrafish provide a valuable resource to study vertebrate genes. However, finding genetic variants e.g. mutations in the genome is still arduous. Here we used a combination of microarray capturing and next generation sequencing to identify the affected gene in the mozartkugelp11cv (mzlp11cv) mutant zebrafish. We discovered a 31-bp deletion in macf1 demonstrating the potential of this technique to efficiently isolate mutations in a vertebrate genome.
authors.affiliation: Department of Zoology and Animal Biology, University of Geneva, Switzerland.
authors.forename: Franck
authors.initials: F
authors.lastname: Bontems
authors.forename: Loic
authors.initials: L
authors.lastname: Baerlocher
authors.forename: Sabrina
authors.initials: S
authors.lastname: Mehenni
authors.forename: Ilham
authors.initials: I
authors.lastname: Bahechar
authors.forename: Laurent
authors.initials: L
authors.lastname: Farinelli
authors.forename: Roland
authors.initials: R
authors.lastname: Dosch
mesh_terms: D000595:Amino Acid Sequence; D000818:Animals; D004252:DNA Mutational Analysis / Q000379:methods*; D005260:Female; D008297:Male; D008969:Molecular Sequence Data; D009154:Mutation; D020411:Oligonucleotide Array Sequence Analysis / Q000379:methods*; D017384:Sequence Deletion; D015027:Zebrafish / Q000235:genetics*