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Rapid whole-genome mutational profiling using next-generation sequencing technologies
Douglas R Smith1, Aaron R Quinlan, Heather E Peckham
1Agencourt Bioscience Corporation, Beverly, Massachusetts 01915, USA. douglas.smith@agencourt.com
Genome Research
|September 9, 2008
Summary
New sequencing technologies rapidly and cost-effectively identify mutations in engineered yeast strains. Whole-genome analysis accurately characterizes variant organisms, aiding metabolic engineering and gene function discovery.
Area of Science:
- Microbiology
- Genomics
- Biotechnology
Background:
- Forward genetic studies create organisms with novel traits but struggle to identify mutations.
- Traditional genetic tools are insufficient for characterizing mutations in complex, engineered strains.
Purpose of the Study:
- To demonstrate the efficacy of high-throughput sequencing for whole-genome characterization of mutant organisms.
- To assess the accuracy and cost-effectiveness of new sequencing technologies for mutation detection.
Main Methods:
- Resequencing of a Pichia stipitis mutant strain, developed over seven years, on three different sequencing platforms.
- Comparative analysis of the mutant genome against a reference parental strain to identify genetic variations.
Main Results:
- Fewer than a dozen mutations were found in open reading frames of the Pichia stipitis mutant.
- All three sequencing platforms accurately identified single nucleotide mutations with 10-15-fold coverage.
- Whole-genome sequencing proved rapid and cost-effective for detecting mutations in evolved strains.
Conclusions:
- High-throughput sequencing offers a powerful solution for identifying mutations in engineered organisms.
- Accurate mutation identification provides insights into gene function and guides future metabolic engineering efforts.
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