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Systematic generation of high-resolution deletion coverage of the Drosophila melanogaster genome
Authors:Parks Annette L  Cook Kevin R  Belvin Marcia  Dompe Nicholas A  Fawcett Robert  Huppert Kari  Tan Lory R  Winter Christopher G  Bogart Kevin P  Deal Jennifer E  Deal-Herr Megan E  Grant Deanna  Marcinko Marie  Miyazaki Wesley Y  Robertson Stephanie  Shaw Kenneth J  Tabios Mariano  Vysotskaia Valentina  Zhao Lora  Andrade Rachel S  Edgar Kyle A  Howie Elizabeth  Killpack Keith  Milash Brett  Norton Amanda  Thao Doua  Whittaker Kellie  Winner Millicent A  Friedman Lori  Margolis Jonathan  Singer Matthew A  Kopczynski Casey  Curtis Daniel  Kaufman Thomas C  Plowman Gregory D  Duyk Geoffrey  Francis-Lang Helen L
Affiliation:Exelixis, 170 Harbor Way, South San Francisco, California 94083-0511, USA.
Abstract:In fruit fly research, chromosomal deletions are indispensable tools for mapping mutations, characterizing alleles and identifying interacting loci. Most widely used deletions were generated by irradiation or chemical mutagenesis. These methods are labor-intensive, generate random breakpoints and result in unwanted secondary mutations that can confound phenotypic analyses. Most of the existing deletions are large, have molecularly undefined endpoints and are maintained in genetically complex stocks. Furthermore, the existence of haplolethal or haplosterile loci makes the recovery of deletions of certain regions exceedingly difficult by traditional methods, resulting in gaps in coverage. Here we describe two methods that address these problems by providing for the systematic isolation of targeted deletions in the D. melanogaster genome. The first strategy used a P element-based technique to generate deletions that closely flank haploinsufficient genes and minimize undeleted regions. This deletion set has increased overall genomic coverage by 5-7%. The second strategy used FLP recombinase and the large array of FRT-bearing insertions described in the accompanying paper to generate 519 isogenic deletions with molecularly defined endpoints. This second deletion collection provides 56% genome coverage so far. The latter methodology enables the generation of small custom deletions with predictable endpoints throughout the genome and should make their isolation a simple and routine task.
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