• DocumentCode
    3378169
  • Title

    Genome-wide in silico analysis of microsatellites in Sorghum bicolor

  • Author

    Song, Jian

  • Author_Institution
    Biol. Sci. Dept., Dezhou Univ., Dezhou, China
  • fYear
    2009
  • fDate
    13-14 Dec. 2009
  • Firstpage
    556
  • Lastpage
    559
  • Abstract
    Simple sequence repeats (SSRs) are highly variable DNA sequences that were widely used for genetic and breeding studies in several plant species. In this study, 94698 genome-SSRs of Sorghum was in silico predicted by searching its genomic sequence. After mining, the frequency and density of the SSRs have been analyzed in detailed. Results showed that the density of SSRs was 154.98 counts/Mbp in sorghum genomes, and trinucleotide repeats(27.35%) motifs appeared to be the most abundant type in sorghum, the dinucleotide, tetranucleotide, hexanucleotide, pentanucleotide and mononucleotide repeats are 20.69%, 17.04%, 15.21%, 14.99% and 4.76%, respectively. Moreover, Tri- and di- motif were the most common motif followed by tri-, tetr-, and pen-nucleotide motif. The A-rich repeats are predominant in the most frequency SSRs. The SSR sizes was not evenly distributed, hexa-motif giving the longest SSRs. Following with the length increasing, the number of SSRs was decreased. The further analysis suggest that 2621 SSRs contained more than one microsatellites which recognized as compound SSRs, of which (AT-AC)279 giving the highest frequency. Furthermore, the results showed that Sorghum genome was enrich for SSR developing and microsatellite markers can be expected to enhance the power and resolution of genome analysis in sorghum.
  • Keywords
    biological techniques; genetics; genomics; organic compounds; SSR; abundant type; breeding studies; genetic studies; genome-wide in silico analysis; highly variable DNA sequences; microsatellites; plant species; simple sequence repeats; sorghum; sorghum bicolor; sorghum genomes; trinucleotide repeats motifs appeared; Bioinformatics; Biomedical engineering; Crops; DNA; Frequency; Genetics; Genomics; Large-scale systems; Libraries; Sequences; In Silico Analysis; Microsatellites; Sorghum;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    BioMedical Information Engineering, 2009. FBIE 2009. International Conference on Future
  • Conference_Location
    Sanya
  • Print_ISBN
    978-1-4244-4690-2
  • Electronic_ISBN
    978-1-4244-4692-6
  • Type

    conf

  • DOI
    10.1109/FBIE.2009.5405801
  • Filename
    5405801