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C. elegans Mutant Identification with a One-Step Whole-Genome-Sequencing and SNP Mapping Strategy

Overview of attention for article published in PLOS ONE, November 2010
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Title
C. elegans Mutant Identification with a One-Step Whole-Genome-Sequencing and SNP Mapping Strategy
Published in
PLOS ONE, November 2010
DOI 10.1371/journal.pone.0015435
Pubmed ID
Authors

Maria Doitsidou, Richard J. Poole, Sumeet Sarin, Henry Bigelow, Oliver Hobert

Abstract

Whole-genome sequencing (WGS) is becoming a fast and cost-effective method to pinpoint molecular lesions in mutagenized genetic model systems, such as Caenorhabditis elegans. As mutagenized strains contain a significant mutational load, it is often still necessary to map mutations to a chromosomal interval to elucidate which of the WGS-identified sequence variants is the phenotype-causing one. We describe here our experience in setting up and testing a simple strategy that incorporates a rapid SNP-based mapping step into the WGS procedure. In this strategy, a mutant retrieved from a genetic screen is crossed with a polymorphic C. elegans strain, individual F2 progeny from this cross is selected for the mutant phenotype, the progeny of these F2 animals are pooled and then whole-genome-sequenced. The density of polymorphic SNP markers is decreased in the region of the phenotype-causing sequence variant and therefore enables its identification in the WGS data. As a proof of principle, we use this strategy to identify the molecular lesion in a mutant strain that produces an excess of dopaminergic neurons. We find that the molecular lesion resides in the Pax-6/Eyeless ortholog vab-3. The strategy described here will further reduce the time between mutant isolation and identification of the molecular lesion.

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Mendeley readers

The data shown below were compiled from readership statistics for 422 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 14 3%
Germany 3 <1%
Austria 2 <1%
Switzerland 1 <1%
Portugal 1 <1%
Singapore 1 <1%
India 1 <1%
Greece 1 <1%
Spain 1 <1%
Other 0 0%
Unknown 397 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 123 29%
Researcher 77 18%
Student > Master 44 10%
Student > Bachelor 40 9%
Professor > Associate Professor 23 5%
Other 69 16%
Unknown 46 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 208 49%
Biochemistry, Genetics and Molecular Biology 115 27%
Neuroscience 24 6%
Medicine and Dentistry 7 2%
Immunology and Microbiology 5 1%
Other 14 3%
Unknown 49 12%