Phenotypic diversification by enhanced genome restructuring after induction of multiple DNA double-strand breaks View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2018-12

AUTHORS

Nobuhiko Muramoto, Arisa Oda, Hidenori Tanaka, Takahiro Nakamura, Kazuto Kugou, Kazuki Suda, Aki Kobayashi, Shiori Yoneda, Akinori Ikeuchi, Hiroki Sugimoto, Satoshi Kondo, Chikara Ohto, Takehiko Shibata, Norihiro Mitsukawa, Kunihiro Ohta

ABSTRACT

DNA double-strand break (DSB)-mediated genome rearrangements are assumed to provide diverse raw genetic materials enabling accelerated adaptive evolution; however, it remains unclear about the consequences of massive simultaneous DSB formation in cells and their resulting phenotypic impact. Here, we establish an artificial genome-restructuring technology by conditionally introducing multiple genomic DSBs in vivo using a temperature-dependent endonuclease TaqI. Application in yeast and Arabidopsis thaliana generates strains with phenotypes, including improved ethanol production from xylose at higher temperature and increased plant biomass, that are stably inherited to offspring after multiple passages. High-throughput genome resequencing revealed that these strains harbor diverse rearrangements, including copy number variations, translocations in retrotransposons, and direct end-joinings at TaqI-cleavage sites. Furthermore, large-scale rearrangements occur frequently in diploid yeasts (28.1%) and tetraploid plants (46.3%), whereas haploid yeasts and diploid plants undergo minimal rearrangement. This genome-restructuring system (TAQing system) will enable rapid genome breeding and aid genome-evolution studies. More... »

PAGES

1995

References to SciGraph publications

  • 2004-12. Sequence and comparative analysis of the chicken genome provide unique perspectives on vertebrate evolution in NATURE
  • 2000-05. Chromosomal evolution in Saccharomyces in NATURE
  • 2005-09. Gene duplication and exon shuffling by helitron-like transposons generate intraspecies diversity in maize in NATURE GENETICS
  • 2009-12. Complex landscapes of somatic rearrangement in human breast cancer genomes in NATURE
  • 2004-04. Proof and evolutionary analysis of ancient genome duplication in the yeast Saccharomyces cerevisiae in NATURE
  • 2013-06. Architecture and evolution of a minute plant genome in NATURE
  • 2004-10. Genome duplication in the teleost fish Tetraodon nigroviridis reveals the early vertebrate proto-karyotype in NATURE
  • 2010-05. A three-dimensional model of the yeast genome in NATURE
  • 2012-08. ggbio: an R package for extending the grammar of graphics for genomic data in GENOME BIOLOGY
  • 2009-10. The evolutionary significance of ancient genome duplications in NATURE REVIEWS GENETICS
  • 2011-05-05. Ancestral polyploidy in seed plants and angiosperms in NATURE
  • 2010-07. Yeast evolutionary genomics in NATURE REVIEWS GENETICS
  • 2010-11-11. Aneuploidy confers quantitative proteome changes and phenotypic variation in budding yeast in NATURE
  • 2009-03. Population genomics of domestic and wild yeasts in NATURE
  • 2015-03. Polyploidy can drive rapid adaptation in yeast in NATURE
  • 2014-12. Performance comparison of second- and third-generation sequencers using a bacterial genome with two chromosomes in BMC GENOMICS
  • 2009-12. BLAST+: architecture and applications in BMC BIOINFORMATICS
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1038/s41467-018-04256-y

    DOI

    http://dx.doi.org/10.1038/s41467-018-04256-y

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1103975508

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/29777105


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