Comparing Platforms for C. elegans Mutant Identification Using High-Throughput Whole-Genome Sequencing |
| |
| Authors: | Yufeng Shen Sumeet Sarin Ye Liu Oliver Hobert Itsik Pe'er |
| |
| Affiliation: | 1. Department of Computer Science, Columbia University, New York, New York, United States of America.; 2. Center for Computational Biology and Bioinformatics, Columbia University, New York, New York, United States of America.; 3. Department of Biochemistry and Molecular Biophysics, Howard Hughes Medical Institute, Columbia University Medical Center, New York, New York, United States of America.;Massachusetts General Hospital/Harvard Medical School, United States of America |
| |
| Abstract: | BackgroundWhole-genome sequencing represents a promising approach to pinpoint chemically induced mutations in genetic model organisms, thereby short-cutting time-consuming genetic mapping efforts.Principal FindingsWe compare here the ability of two leading high-throughput platforms for paired-end deep sequencing, SOLiD (ABI) and Genome Analyzer (Illumina; “Solexa”), to achieve the goal of mutant detection. As a test case we used a mutant C. elegans strain that harbors a mutation in the lsy-12 locus which we compare to the reference wild-type genome sequence. We analyzed the accuracy, sensitivity, and depth-coverage characteristics of the two platforms. Both platforms were able to identify the mutation that causes the phenotype of the mutant C. elegans strain, lsy-12. Based on a 4 MB genomic region in which individual variants were validated by Sanger sequencing, we observe tradeoffs between rates of false positives and false negatives when using both platforms under similar coverage and mapping criteria.SignificanceIn conclusion, whole-genome sequencing conducted by either platform is a viable approach for the identification of single-nucleotide variations in the C. elegans genome. |
| |
| Keywords: | |
|
|
