›› 2014, Vol. 41 ›› Issue (11): 50-54.

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Bioinformatics Analysis of Nonstructural Protein 2C of Porcine Kobuvirus

CHEN Qiu-yong1, HU Chong-wei1, CHEN Ru-jing2, CHEN Xiao-luo3, LIN Qun-qun1, CHEN Peng-qiang1, XIU Jin-sheng1   

  1. 1. College of Animal Sciences, Fujian Agricultural and Forestry University, Fuzhou 350002, China;
    2. Fujian Animal Disease Control Technology Development Center, Institute of Animal Husbandry and Veterinary Medicine, Fujian Academy of Agricultural Sciences, Fuzhou 350013, China;
    3. Kang Shun Culture Limited Company, Longyan 364000, China
  • Received:2014-03-06 Online:2014-11-20 Published:2014-12-06

Abstract: To enrich the molecular epidemic information for the newly identified porcine kubovirus, the nonstructural protein 2C of porcine kobuvirus was amplified by reverse transcription-polymerase chain reaction method from the tissues of the piglets association with diarrhea in Fujian province, and then cloned and sequenced, bioinformatics analysis were conducted to investigate the structure and function of porcine kubovirus nonstructural protein 2C. The results demonstrated that porcine kobuvirus nonstructural protein 2C was 1005 bp in length, coding an open reading frame (ORF) with 335 amino acids. The molecular weight, theoretical isoelectric point, instability index (Ⅱ), aliphatic index and the Grand average of hydropathicity (GRAVY) of porcine kubovirus nonstructural protein 2C were 36.9297 ku, 7.18, 39.41, 87.10 and -0.242, respectively. The sequenced gene shared the highest homology with CH/HZ/2011 strain (GenBank accession number was JX827598), with 91.6%, while, the lowest homology with XX strain (GenBank accession number was KC204684), with 88.8%. The porcine kubovirus nonstructural protein 2C shared three different phylogenetic branches, porcine kubovirus Hungary isolates and Thailand isolates were at the branch Ⅲ, and the porcine kubovirus Chinese isolates distributed in the other two phylogenetic branches.

Key words: porcine kobuvirus; nonstructural protein 2C; bioinformatics analysis

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