Max Planck Institute for Plant Breeding Research, Cologne, Germany.
Nat Biotechnol. 2013 Apr;31(4):325-30. doi: 10.1038/nbt.2515. Epub 2013 Mar 10.
Genes underlying mutant phenotypes can be isolated by combining marker discovery, genetic mapping and resequencing, but a more straightforward strategy for mapping mutations would be the direct comparison of mutant and wild-type genomes. Applying such an approach, however, is hampered by the need for reference sequences and by mutational loads that confound the unambiguous identification of causal mutations. Here we introduce NIKS (needle in the k-stack), a reference-free algorithm based on comparing k-mers in whole-genome sequencing data for precise discovery of homozygous mutations. We applied NIKS to eight mutants induced in nonreference rice cultivars and to two mutants of the nonmodel species Arabis alpina. In both species, comparing pooled F2 individuals selected for mutant phenotypes revealed small sets of mutations including the causal changes. Moreover, comparing M3 seedlings of two allelic mutants unambiguously identified the causal gene. Thus, for any species amenable to mutagenesis, NIKS enables forward genetics without requiring segregating populations, genetic maps and reference sequences.
通过结合标记发现、遗传作图和重测序,可以分离出导致突变表型的基因,但对于突变作图来说,一种更直接的策略是直接比较突变体和野生型基因组。然而,应用这种方法受到需要参考序列和混杂的突变负荷的阻碍,这使得因果突变的明确识别变得复杂。在这里,我们介绍了 NIKS(针在 k 栈中),这是一种基于比较全基因组测序数据中 k-mer 的无参考算法,用于精确发现纯合突变。我们将 NIKS 应用于在非参考水稻品种中诱导的 8 个突变体和非模式物种拟南芥的 2 个突变体。在这两个物种中,比较选择具有突变表型的 F2 个体的pooled F2 个体揭示了包括因果变化在内的一小部分突变。此外,比较两个等位突变体的 M3 幼苗可以明确鉴定出因果基因。因此,对于任何可进行诱变的物种,NIKS 都可以在不需要分离群体、遗传图谱和参考序列的情况下实现正向遗传学。