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Splinkerette PCR for Mapping Transposable Elements in Drosophila

Overview of attention for article published in PLOS ONE, April 2010
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Title
Splinkerette PCR for Mapping Transposable Elements in Drosophila
Published in
PLOS ONE, April 2010
DOI 10.1371/journal.pone.0010168
Pubmed ID
Authors

Christopher J. Potter, Liqun Luo

Abstract

Transposable elements (such as the P-element and piggyBac) have been used to introduce thousands of transgenic constructs into the Drosophila genome. These transgenic constructs serve many roles, from assaying gene/cell function, to controlling chromosome arm rearrangement. Knowing the precise genomic insertion site for the transposable element is often desired. This enables identification of genomic enhancer regions trapped by an enhancer trap, identification of the gene mutated by a transposon insertion, or simplifying recombination experiments. The most commonly used transgene mapping method is inverse PCR (iPCR). Although usually effective, limitations with iPCR hinder its ability to isolate flanking genomic DNA in complex genomic loci, such as those that contain natural transposons. Here we report the adaptation of the splinkerette PCR (spPCR) method for the isolation of flanking genomic DNA of any P-element or piggyBac. We report a simple and detailed protocol for spPCR. We use spPCR to 1) map a GAL4 enhancer trap located inside a natural transposon, pinpointing a master regulatory region for olfactory neuron expression in the brain; and 2) map all commonly used centromeric FRT insertion sites. The ease, efficiency, and efficacy of spPCR could make it a favored choice for the mapping of transposable element in Drosophila.

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Mendeley readers

The data shown below were compiled from readership statistics for 386 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 5 1%
Brazil 3 <1%
Japan 2 <1%
United Kingdom 2 <1%
Germany 1 <1%
Pakistan 1 <1%
Portugal 1 <1%
Netherlands 1 <1%
China 1 <1%
Other 3 <1%
Unknown 366 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 116 30%
Student > Ph. D. Student 88 23%
Student > Master 36 9%
Student > Bachelor 32 8%
Professor > Associate Professor 19 5%
Other 42 11%
Unknown 53 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 200 52%
Biochemistry, Genetics and Molecular Biology 82 21%
Neuroscience 15 4%
Medicine and Dentistry 10 3%
Chemistry 4 1%
Other 20 5%
Unknown 55 14%