Mutants remain a powerful means for dissecting gene function in model organisms such as Caenorhabditis elegans Massively parallel sequencing has simplified the detection of variants after mutagenesis but determining precisely which change is responsible for phenotypic perturbation remains a key step. Genetic mapping paradigms in C. elegans rely on bulk segregant populations produced by crosses with the problematic Hawaiian wild isolate and an excess of redundant information from whole-genome sequencing (WGS). To increase the repertoire of available mutants and to simplify identification of the causal change, we performed WGS on 173 temperature-sensitive (TS) lethal mutants and devised a novel mapping method. The mapping method uses molecular inversion probes (MIP-MAP) in a targeted sequencing approach to genetic mapping, and replaces the Hawaiian strain with a Million Mutation Project strain with high genomic and phenotypic similarity to the laboratory wild-type strain N2 We validated MIP-MAP on a subset of the TS mutants using a competitive selection approach to produce TS candidate mapping intervals with a mean size < 3 Mb. MIP-MAP successfully uses a non-Hawaiian mapping strain and multiplexed libraries are sequenced at a fraction of the cost of WGS mapping approaches. Our mapping results suggest that the collection of TS mutants contains a diverse library of TS alleles for genes essential to development and reproduction. MIP-MAP is a robust method to genetically map mutations in both viable and essential genes and should be adaptable to other organisms. It may also simplify tracking of individual genotypes within population mixtures.
MIP-MAP: High-Throughput Mapping of Caenorhabditis elegans Temperature-Sensitive Mutants via Molecular Inversion Probes.
MIP-MAP:利用分子反转探针进行秀丽隐杆线虫温度敏感突变体的高通量定位
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作者:Mok Calvin A, Au Vinci, Thompson Owen A, Edgley Mark L, Gevirtzman Louis, Yochem John, Lowry Joshua, Memar Nadin, Wallenfang Matthew R, Rasoloson Dominique, Bowerman Bruce, Schnabel Ralf, Seydoux Geraldine, Moerman Donald G, Waterston Robert H
| 期刊: | Genetics | 影响因子: | 5.100 |
| 时间: | 2017 | 起止号: | 2017 Oct;207(2):447-463 |
| doi: | 10.1534/genetics.117.300179 | ||
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