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Mutation identification by direct comparison of whole-genome sequencing data from mutant and wild-type individuals using k-mers

  • Karl J.V. Nordström
  • , Maria C. Albani
  • , Geo Velikkakam James
  • , Caroline Gutjahr
  • , Benjamin Hartwig
  • , Franziska Turck
  • , Uta Paszkowski
  • , George Coupland
  • , Korbinian Schneeberger

Research output: Contribution to journalArticlepeer-review

132 Scopus citations

Abstract

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 F 2 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.

Original languageEnglish
Pages (from-to)325-330
Number of pages6
JournalNature Biotechnology
Volume31
Issue number4
DOIs
StatePublished - Apr 2013
Externally publishedYes

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