Literature DB >> 22837357

Fast isogenic mapping-by-sequencing of ethyl methanesulfonate-induced mutant bulks.

Benjamin Hartwig1, Geo Velikkakam James, Kathryn Konrad, Korbinian Schneeberger, Franziska Turck.   

Abstract

Mapping-by-sequencing (or SHOREmapping) has revitalized the powerful concept of forward genetic screens in plants. However, as in conventional genetic mapping approaches, mapping-by-sequencing requires phenotyping of mapping populations established from crosses between two diverged accessions. In addition to the segregation of the focal phenotype, this introduces natural phenotypic variation, which can interfere with the recognition of quantitative phenotypes. Here, we demonstrate how mapping-by-sequencing and candidate gene identification can be performed within the same genetic background using only mutagen-induced changes as segregating markers. Using a previously unknown suppressor of mutants of like heterochromatin protein1 (lhp1), which in its functional form is involved in chromatin-mediated gene repression, we identified three closely linked ethyl methanesulfonate-induced changes as putative candidates. In order to assess allele frequency differences between such closely linked mutations, we introduced deep candidate resequencing using the new Ion Torrent Personal Genome Machine sequencing platform to our mutant identification pipeline and thereby reduced the number of causal candidate mutations to only one. Genetic analysis of two independent additional alleles confirmed that this mutation was causal for the suppression of lhp1.

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Year:  2012        PMID: 22837357      PMCID: PMC3461541          DOI: 10.1104/pp.112.200311

Source DB:  PubMed          Journal:  Plant Physiol        ISSN: 0032-0889            Impact factor:   8.340


  36 in total

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Journal:  Nat Biotechnol       Date:  2012-01-22       Impact factor: 54.908

2.  Insertions of a novel class of transposable elements with a strong target site preference at the r locus of maize.

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3.  The neighbor-joining method: a new method for reconstructing phylogenetic trees.

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Journal:  EMBO J       Date:  1998-02-02       Impact factor: 11.598

5.  A screen for new trithorax group genes identified little imaginal discs, the Drosophila melanogaster homologue of human retinoblastoma binding protein 2.

Authors:  J J Gildea; R Lopez; A Shearn
Journal:  Genetics       Date:  2000-10       Impact factor: 4.562

Review 6.  The autonomous pathway: epigenetic and post-transcriptional gene regulation in the control of Arabidopsis flowering time.

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Journal:  Curr Opin Plant Biol       Date:  2004-10       Impact factor: 7.834

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Journal:  Plant Cell Physiol       Date:  2003-06       Impact factor: 4.927

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  62 in total

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2.  Genetic mapping of the nulliplex-branch gene (gb_nb1) in cotton using next-generation sequencing.

Authors:  Wei Chen; Jinbo Yao; Li Chu; Zhengwen Yuan; Yan Li; Yongshan Zhang
Journal:  Theor Appl Genet       Date:  2015-01-10       Impact factor: 5.699

3.  Ctf4-related protein recruits LHP1-PRC2 to maintain H3K27me3 levels in dividing cells in Arabidopsis thaliana.

Authors:  Yue Zhou; Emmanuel Tergemina; Haitao Cui; Alexander Förderer; Benjamin Hartwig; Geo Velikkakam James; Korbinian Schneeberger; Franziska Turck
Journal:  Proc Natl Acad Sci U S A       Date:  2017-04-20       Impact factor: 11.205

4.  Mutagenesis of a Quintuple Mutant Impaired in Environmental Responses Reveals Roles for CHROMATIN REMODELING4 in the Arabidopsis Floral Transition.

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

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Journal:  Nat Biotechnol       Date:  2013-03-10       Impact factor: 54.908

Review 6.  Using next-generation sequencing to isolate mutant genes from forward genetic screens.

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7.  Plant chromatin warms up in Madrid: meeting summary of the 3rd European Workshop on Plant Chromatin 2013, Madrid, Spain.

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8.  A cis-carotene derived apocarotenoid regulates etioplast and chloroplast development.

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

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10.  Discovery of genomic regions and candidate genes for grain weight employing next generation sequencing based QTL-seq approach in rice (Oryza sativa L.).

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Journal:  Mol Biol Rep       Date:  2020-10-24       Impact factor: 2.316

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