• DocumentCode
    3317437
  • Title

    Median-Joining Network Analysis of Phylogeny of Goat Breeds from South China

  • Author

    Cai, Xin ; Mipam, TserangDonko

  • Author_Institution
    Sch. of Life Sci. & Eng., Southwest Univ. of Sci. & Technol., Mianyang, China
  • fYear
    2011
  • fDate
    10-12 May 2011
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    The phylogenetic median-joining (MJ) network algorithm which offers new features compared with reduced median (RM) network algorithm in that it can handle larger sets of genetic data, as well as multistate data such as amino acid sequences. We investigated phylogeny of 211 goat individuals from South China based on the MJ network analysis of mtDNA D-loop HVI fragments (481 bp) in conjunction with corresponding 33 sequences as references. The goats from South China were classified into only two genetic lineages (lineage A and lineage B). No haplotypes of Chinese goats were included in lineage C, lineage D, lineage F or lineage G. One hundred and sixty-six goat individuals belonged to one lineage A, and forty-five belonged to lineage B. Therefore, we proposed that goats from South China were originated from lineage A and lineage B in matrilineal lineages. The population from lineage A had experienced population expansion, while the those from lineage B had not experienced population expansion.
  • Keywords
    DNA; biology computing; data analysis; genetics; zoology; MJ network algorithm; MJ network analysis; RM network algorithm; South China; amino acid sequences; genetic data; genetic lineages; goat breeds; haplotypes; matrilineal lineages; median-joining network analysis; mtDNA D-loop HVI fragments; multistate data; phylogenetic median-joining network algorithm; phylogeny; population expansion; reduced median network algorithm; Algorithm design and analysis; Amino acids; Educational institutions; Genetics; History; Phylogeny;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bioinformatics and Biomedical Engineering, (iCBBE) 2011 5th International Conference on
  • Conference_Location
    Wuhan
  • ISSN
    2151-7614
  • Print_ISBN
    978-1-4244-5088-6
  • Type

    conf

  • DOI
    10.1109/icbbe.2011.5779996
  • Filename
    5779996