Bellen Hugo J, Levis Robert W, Liao Guochun, He Yuchun, Carlson Joseph W, Tsang Garson, Evans-Holm Martha, Hiesinger P Robin, Schulze Karen L, Rubin Gerald M, Hoskins Roger A, Spradling Allan C
Department of Molecular and Human Genetics, Howard Hughes Medical Institute, Program in Developmental Biology, Baylor College of Medicine, Houston, Texas 77030, USA.
Genetics. 2004 Jun;167(2):761-81. doi: 10.1534/genetics.104.026427.
The Berkeley Drosophila Genome Project (BDGP) strives to disrupt each Drosophila gene by the insertion of a single transposable element. As part of this effort, transposons in >30,000 fly strains were localized and analyzed relative to predicted Drosophila gene structures. Approximately 6300 lines that maximize genomic coverage were selected to be sent to the Bloomington Stock Center for public distribution, bringing the size of the BDGP gene disruption collection to 7140 lines. It now includes individual lines predicted to disrupt 5362 of the 13,666 currently annotated Drosophila genes (39%). Other lines contain an insertion at least 2 kb from others in the collection and likely mutate additional incompletely annotated or uncharacterized genes and chromosomal regulatory elements. The remaining strains contain insertions likely to disrupt alternative gene promoters or to allow gene misexpression. The expanded BDGP gene disruption collection provides a public resource that will facilitate the application of Drosophila genetics to diverse biological problems. Finally, the project reveals new insight into how transposons interact with a eukaryotic genome and helps define optimal strategies for using insertional mutagenesis as a genomic tool.
伯克利果蝇基因组计划(BDGP)致力于通过插入单个转座元件来破坏每个果蝇基因。作为这项工作的一部分,相对于预测的果蝇基因结构,对30000多个果蝇品系中的转座子进行了定位和分析。大约6300个能使基因组覆盖最大化的品系被挑选出来送往布鲁明顿种质中心供公众分发,这使得BDGP基因破坏文库的规模达到7140个品系。目前它包括预计会破坏13666个当前已注释的果蝇基因中5362个基因的单个品系(占39%)。其他品系在文库中与其他品系的插入位点距离至少为2 kb,可能会使其他未完全注释或未表征的基因以及染色体调控元件发生突变。其余品系的插入可能会破坏替代基因启动子或导致基因错误表达。扩展后的BDGP基因破坏文库提供了一种公共资源,将有助于把果蝇遗传学应用于各种生物学问题。最后,该项目揭示了关于转座子如何与真核基因组相互作用的新见解,并有助于确定将插入诱变作为基因组工具的最佳策略。