Computational Synteny Analysis Promotes a Better Understanding of Chromosome Evolution

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著者

    • Matsunaga Sachihiro
    • Department of Applied Biological Science, Faculty of Science and Technology, Tokyo University of Science
    • Nakaya Akihiro
    • Department of Genome Informatics, Graduate School of Medicine, Osaka University

抄録

<p>Synteny is modernly used to describe the conservation of homologous genomic regions between chromosomes among different species, although the term was first introduced to mean the gene location on the same chromosomes. Using database of whole genome sequences and web-tools for computational comparative analyses, we can find synteny blocks at high resolution and analyze chromosomal rearrangement among different species. Our constructed synteny maps between <i>Oryza sativa</i> and <i>Arabidopsis thaliana</i> or <i>Zea mays</i> reflected the evolutionary lineages of the plants. These computational synteny analyses contribute to the understanding of chromosome evolution and the discovery of the quantitative trait locus between related species. Future synteny analysis will include information of epigenome and three-dimensional chromatin organization.</p>

収録刊行物

  • CYTOLOGIA

    CYTOLOGIA 82(2), 101-104, 2017

    公益財団法人 日本メンデル協会

各種コード

  • NII論文ID(NAID)
    130006769826
  • 本文言語コード
    ENG
  • ISSN
    0011-4545
  • データ提供元
    J-STAGE 
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