A detailed analysis of synonymous codon usage in human bocavirus

被引:6
|
作者
Hussain, Snawar [1 ]
Rasool, Sahibzada Tasleem [1 ]
Asif, Afzal Haq [1 ]
机构
[1] King Faisal Univ, Coll Clin Pharm, Dept Biomed Sci, POB 400, Al Hasa 31982, Saudi Arabia
关键词
NUCLEOTIDE COMPOSITION; PROTEIN EXPRESSION; MUTATION PRESSURE; GENE LENGTH; BIAS; SELECTION; GENOME; EVOLUTION; VIRUS; CPG;
D O I
10.1007/s00705-018-4063-8
中图分类号
Q93 [微生物学];
学科分类号
071005 ; 100705 ;
摘要
Human bocavirus (HBoV) is a recently discovered parvovirus associated with respiratory and gastroenteric infections in children. To date, four distinct subtypes have been identified worldwide. HBoV1 is the most frequently detected bocavirus in clinical samples derived from the respiratory tract. HBoV has a single-stranded DNA genome, which encodes two nonstructural proteins, NS1 and NP1, and two structural proteins, VP1 and VP2. Despite a large number of available HBoV sequences, the molecular evolution of this virus remains enigmatic. Here, we applied bioinformatic methods to measure the codon usage bias in 156 HBoV genomes and analyzed the factors responsible for preferential use of various synonymous codons. The effective number of codons (ENC) indicates a highly conserved, gene-specific codon usage bias in the HBoV genome. The structural genes exhibit a higher degree of codon usage bias than the non-structural genes. Natural selection emerged as dominant factor influencing the codon usage bias in the HBoV genome. Other factors that influence the codon usage include mutational pressure, gene length, protein properties, and the relative abundance of dinucleotides. The results presented in this study provide important insight into the molecular evolution of HBoV and may serve as a primer for HBoV gene expression studies and development of safe and effective vaccines to prevent infection.
引用
收藏
页码:335 / 347
页数:13
相关论文
共 50 条
  • [1] Analysis of Synonymous Codon Usage in Dengue Viruses
    Ma, Jun-Jun
    Zhao, Feng
    Zhang, Jie
    Zhou, Jian-Hua
    Ma, Li-Na
    Ding, Yao-Zhong
    Chen, Hao-Tai
    Gu, Yuan-Xing
    Liu, Yong-Sheng
    JOURNAL OF ANIMAL AND VETERINARY ADVANCES, 2013, 12 (01): : 88 - 98
  • [2] Analysis of synonymous codon usage in Zika virus
    Hussain, Snawar
    Rasool, Sahibzada Tasleem
    ACTA TROPICA, 2017, 173 : 136 - 146
  • [3] Analysis of synonymous codon usage pattern in duck circovirus
    Xu, Yu
    Jia, Renyong
    Zhang, Zhilong
    Lu, Yanyan
    Wang, Mingshu
    Zhu, Dekang
    Chen, Shun
    Liu, Mafeng
    Yin, Zhongqiong
    Cheng, Anchun
    GENE, 2015, 557 (02) : 138 - 145
  • [4] Patterns of Synonymous Codon Usage on Human Metapneumovirus and Its Influencing Factors
    Zhong, Qiao
    Xu, Weidong
    Wu, Yuanjian
    Xu, Hongxing
    JOURNAL OF BIOMEDICINE AND BIOTECHNOLOGY, 2012,
  • [5] First analysis of synonymous codon usage in porcine circovirus
    Chen, Ye
    Sun, Jingchen
    Tong, Xiong
    Xu, Jian
    Deng, Hongjuan
    Jiang, Zhiguo
    Jiang, Chengfeng
    Duan, Junli
    Li, Jingcong
    Zhou, Pei
    Wang, Chong
    ARCHIVES OF VIROLOGY, 2014, 159 (08) : 2145 - 2151
  • [6] A detailed comparative analysis of codon usage bias in Alongshan virus
    Rahman, Siddiq Ur
    Abdullah, Muhammad
    Khan, Abdul Wajid
    Ul Haq, Muhammad Inam
    ul Haq, Noor
    Aziz, Abdul
    Tao, Shiheng
    VIRUS RESEARCH, 2022, 308
  • [7] Analysis of synonymous codon usage in Hepatitis A virus
    Zhang, Yiqiang
    Liu, Yongsheng
    Liu, Wenqian
    Zhou, Jianhua
    Chen, Haotai
    Wang, Yin
    Ma, Lina
    Ding, Yaozhong
    Zhang, Jie
    VIROLOGY JOURNAL, 2011, 8
  • [8] Analysis of synonymous codon usage in spike protein gene of infectious bronchitis virus
    Makhija, Aditi
    Kumar, Sachin
    CANADIAN JOURNAL OF MICROBIOLOGY, 2015, 61 (12) : 983 - 989
  • [9] Synonymous codon usage pattern analysis of Hepatitis D virus
    Bishal, Arghya Kamal
    Mukherjee, Rashmi
    Chakraborty, Chandan
    VIRUS RESEARCH, 2013, 173 (02) : 350 - 353
  • [10] Network analysis of synonymous codon usage
    Newaz, Khalique
    Wright, Gabriel
    Piland, Jacob
    Li, Jun
    Clark, Patricia L.
    Emrich, Scott J.
    Milenkovic, Tijana
    BIOINFORMATICS, 2020, 36 (19) : 4876 - 4884