Literature DB >> 23475072

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

Karl J V Nordström1, Maria C Albani, Geo Velikkakam James, Caroline Gutjahr, Benjamin Hartwig, Franziska Turck, Uta Paszkowski, George Coupland, Korbinian Schneeberger.   

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 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.

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Year:  2013        PMID: 23475072     DOI: 10.1038/nbt.2515

Source DB:  PubMed          Journal:  Nat Biotechnol        ISSN: 1087-0156            Impact factor:   54.908


  35 in total

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Authors:  Ryan S Austin; Danielle Vidaurre; George Stamatiou; Robert Breit; Nicholas J Provart; Dario Bonetta; Jianfeng Zhang; Pauline Fung; Yunchen Gong; Pauline W Wang; Peter McCourt; David S Guttman
Journal:  Plant J       Date:  2011-07-18       Impact factor: 6.417

2.  A strategy for direct mapping and identification of mutations by whole-genome sequencing.

Authors:  Steven Zuryn; Stéphanie Le Gras; Karine Jamet; Sophie Jarriault
Journal:  Genetics       Date:  2010-07-06       Impact factor: 4.562

3.  Identification of markers linked to disease-resistance genes by bulked segregant analysis: a rapid method to detect markers in specific genomic regions by using segregating populations.

Authors:  R W Michelmore; I Paran; R V Kesseli
Journal:  Proc Natl Acad Sci U S A       Date:  1991-11-01       Impact factor: 11.205

4.  Aa TFL1 confers an age-dependent response to vernalization in perennial Arabis alpina.

Authors:  Renhou Wang; Maria C Albani; Coral Vincent; Sara Bergonzi; Ming Luan; Yan Bai; Christiane Kiefer; Rosa Castillo; George Coupland
Journal:  Plant Cell       Date:  2011-04-15       Impact factor: 11.277

5.  Velvet: algorithms for de novo short read assembly using de Bruijn graphs.

Authors:  Daniel R Zerbino; Ewan Birney
Journal:  Genome Res       Date:  2008-03-18       Impact factor: 9.043

6.  SHOREmap: simultaneous mapping and mutation identification by deep sequencing.

Authors:  Korbinian Schneeberger; Stephan Ossowski; Christa Lanz; Trine Juul; Annabeth Høgh Petersen; Kåre Lehmann Nielsen; Jan-Elo Jørgensen; Detlef Weigel; Stig Uggerhø Andersen
Journal:  Nat Methods       Date:  2009-08       Impact factor: 28.547

Review 7.  Fast-forward genetics enabled by new sequencing technologies.

Authors:  Korbinian Schneeberger; Detlef Weigel
Journal:  Trends Plant Sci       Date:  2011-03-24       Impact factor: 18.313

8.  Dissection of genetically complex traits with extremely large pools of yeast segregants.

Authors:  Ian M Ehrenreich; Noorossadat Torabi; Yue Jia; Jonathan Kent; Stephen Martis; Joshua A Shapiro; David Gresham; Amy A Caudy; Leonid Kruglyak
Journal:  Nature       Date:  2010-04-15       Impact factor: 49.962

9.  Identification of EMS-induced mutations in Drosophila melanogaster by whole-genome sequencing.

Authors:  Justin P Blumenstiel; Aaron C Noll; Jennifer A Griffiths; Anoja G Perera; Kendra N Walton; William D Gilliland; R Scott Hawley; Karen Staehling-Hampton
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10.  Mutation mapping and identification by whole-genome sequencing.

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Journal:  Genome Res       Date:  2012-05-03       Impact factor: 9.043

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  68 in total

1.  A Revolution in Plant Metabolism: Genome-Enabled Pathway Discovery.

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Journal:  Plant Physiol       Date:  2015-07-29       Impact factor: 8.340

2.  Mutagenomics: The Future of Genetic Screens.

Authors:  Ananya Mukherjee
Journal:  Plant Physiol       Date:  2020-12       Impact factor: 8.340

Review 3.  Using next-generation sequencing to isolate mutant genes from forward genetic screens.

Authors:  Korbinian Schneeberger
Journal:  Nat Rev Genet       Date:  2014-08-20       Impact factor: 53.242

4.  Rapid identification of angulata leaf mutations using next-generation sequencing.

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Journal:  Planta       Date:  2014-08-08       Impact factor: 4.116

5.  Fast genotyping of known SNPs through approximate k-mer matching.

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6.  Genetic and molecular analysis of trichome development in Arabis alpina.

Authors:  Divykriti Chopra; Mona Mapar; Lisa Stephan; Maria C Albani; Anna Deneer; George Coupland; Eva-Maria Willing; Swen Schellmann; Korbinian Schneeberger; Christian Fleck; Andrea Schrader; Martin Hülskamp
Journal:  Proc Natl Acad Sci U S A       Date:  2019-05-23       Impact factor: 11.205

7.  Mutagenomics: A Rapid, High-Throughput Method to Identify Causative Mutations from a Genetic Screen.

Authors:  Charles Hodgens; Nicole Chang; G Eric Schaller; Joseph J Kieber
Journal:  Plant Physiol       Date:  2020-09-04       Impact factor: 8.340

8.  Reference-free detection of isolated SNPs.

Authors:  Raluca Uricaru; Guillaume Rizk; Vincent Lacroix; Elsa Quillery; Olivier Plantard; Rayan Chikhi; Claire Lemaitre; Pierre Peterlongo
Journal:  Nucleic Acids Res       Date:  2014-11-17       Impact factor: 16.971

Review 9.  Genomic variation in Arabidopsis: tools and insights from next-generation sequencing.

Authors:  Jesse D Hollister
Journal:  Chromosome Res       Date:  2014-06       Impact factor: 5.239

10.  User guide for mapping-by-sequencing in Arabidopsis.

Authors:  Geo Velikkakam James; Vipul Patel; Karl J V Nordström; Jonas R Klasen; Patrice A Salomé; Detlef Weigel; Korbinian Schneeberger
Journal:  Genome Biol       Date:  2013-06-17       Impact factor: 13.583

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