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DrosDel缺失文库:一种全基因组范围的果蝇染色体缺失资源。

The DrosDel deletion collection: a Drosophila genomewide chromosomal deficiency resource.

作者信息

Ryder Edward, Ashburner Michael, Bautista-Llacer Rosa, Drummond Jenny, Webster Jane, Johnson Glynnis, Morley Terri, Chan Yuk Sang, Blows Fiona, Coulson Darin, Reuter Gunter, Baisch Heiko, Apelt Christian, Kauk Andreas, Rudolph Thomas, Kube Maria, Klimm Melanie, Nickel Claudia, Szidonya Janos, Maróy Peter, Pal Margit, Rasmuson-Lestander Asa, Ekström Karin, Stocker Hugo, Hugentobler Christoph, Hafen Ernst, Gubb David, Pflugfelder Gert, Dorner Christian, Mechler Bernard, Schenkel Heide, Marhold Joachim, Serras Florenci, Corominas Montserrat, Punset Adrià, Roote John, Russell Steven

机构信息

Department of Genetics, University of Cambridge, Cambridge CB2 3EH, United Kingdom.

出版信息

Genetics. 2007 Sep;177(1):615-29. doi: 10.1534/genetics.107.076216. Epub 2007 Aug 24.

Abstract

We describe a second-generation deficiency kit for Drosophila melanogaster composed of molecularly mapped deletions on an isogenic background, covering approximately 77% of the Release 5.1 genome. Using a previously reported collection of FRT-bearing P-element insertions, we have generated 655 new deletions and verified a set of 209 deletion-bearing fly stocks. In addition to deletions, we demonstrate how the P elements may also be used to generate a set of custom inversions and duplications, particularly useful for balancing difficult regions of the genome carrying haplo-insufficient loci. We describe a simple computational resource that facilitates selection of appropriate elements for generating custom deletions. Finally, we provide a computational resource that facilitates selection of other mapped FRT-bearing elements that, when combined with the DrosDel collection, can theoretically generate over half a million precisely mapped deletions.

摘要

我们描述了一种用于黑腹果蝇的第二代缺陷试剂盒,它由等基因背景下分子定位的缺失组成,覆盖了约77%的5.1版本基因组。利用先前报道的携带FRT的P元件插入集合,我们生成了655个新的缺失,并验证了一组209个携带缺失的果蝇品系。除了缺失,我们还展示了P元件如何也可用于生成一组定制的倒位和重复,这对于平衡携带单倍体不足基因座的基因组困难区域特别有用。我们描述了一种简单的计算资源,有助于选择合适的元件来生成定制缺失。最后,我们提供了一种计算资源,有助于选择其他定位的携带FRT的元件,这些元件与DrosDel集合结合时,理论上可以生成超过五十万个精确映射的缺失。

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