Literature DB >> 24557524

First analysis of synonymous codon usage in porcine circovirus.

Ye Chen1, Jingchen Sun, Xiong Tong, Jian Xu, Hongjuan Deng, Zhiguo Jiang, Chengfeng Jiang, Junli Duan, Jingcong Li, Pei Zhou, Chong Wang.   

Abstract

Porcine circovirus (PCV) is grouped into two types: PCV1 and PCV2. PCV1 is isolated from cultured cells and usually causes no clinical diseases in pigs. PCV2 is a pathogen of severe pig disease and a great threat to swine health and production. In our study, to investigate the codon usage bias of PCV, the genomic sequences of PCV1 and PCV2 were analyzed. The results showed that the codon usage bias of PCV was very low. An effective number of codons (ENC) plot analysis indicated that mutational pressure influences the codon usage bias of PCV. Neutrality plot analysis showed that mutation bias dominated over natural selection in shaping the codon usage bias of PCV1, but mutation bias and natural selection contributed equally to the codon usage bias of PCV2. Principal component analysis showed that different ORFs and dinucleotide patterns were also factors influencing the codon usage bias of PCV. Our study is helpful in understanding the codon usage pattern of PCV and the evolution of PCV.

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Year:  2014        PMID: 24557524     DOI: 10.1007/s00705-014-2015-5

Source DB:  PubMed          Journal:  Arch Virol        ISSN: 0304-8608            Impact factor:   2.574


  10 in total

1.  Nearly 20 Years of Genetic Diversity and Evolution of Porcine Circovirus-like Virus P1 from China.

Authors:  Libin Wen; Lihong Yin; Jiaping Zhu; Heran Li; Fengxi Zhang; Qun Hu; Qi Xiao; Jianping Xie; Kongwang He
Journal:  Viruses       Date:  2022-03-28       Impact factor: 5.818

2.  Prevalence of Porcine Circoviruses in Slaughterhouses in Central Shanxi Province, China.

Authors:  Weidong Yue; Yilei Li; Xinrong Zhang; Junping He; Haili Ma
Journal:  Front Vet Sci       Date:  2022-05-23

3.  Genetic changes and evolutionary analysis of canine circovirus.

Authors:  Lin Wang; Yifan Li; Zhiyuan Guo; Ying Yi; Han Zhang; Haikun Shangguan; Chengshi Huang; Junwei Ge
Journal:  Arch Virol       Date:  2021-06-08       Impact factor: 2.685

4.  Insights into the genetic and host adaptability of emerging porcine circovirus 3.

Authors:  Gairu Li; Huijuan Wang; Shilei Wang; Gang Xing; Cheng Zhang; Wenyan Zhang; Jie Liu; Junyan Zhang; Shuo Su; Jiyong Zhou
Journal:  Virulence       Date:  2018       Impact factor: 5.882

5.  The analysis of genome composition and codon bias reveals distinctive patterns between avian and mammalian circoviruses which suggest a potential recombinant origin for Porcine circovirus 3.

Authors:  Giovanni Franzo; Joaquim Segales; Claudia Maria Tucciarone; Mattia Cecchinato; Michele Drigo
Journal:  PLoS One       Date:  2018-06-29       Impact factor: 3.240

6.  Genetic Analysis and Evolutionary Changes of the Torque teno sus Virus.

Authors:  Gairu Li; Wenyan Zhang; Ruyi Wang; Gang Xing; Shilei Wang; Xiang Ji; Ningning Wang; Shuo Su; Jiyong Zhou
Journal:  Int J Mol Sci       Date:  2019-06-13       Impact factor: 5.923

7.  Characterization of the porcine epidemic diarrhea virus codon usage bias.

Authors:  Ye Chen; Yuzhen Shi; Hongjuan Deng; Ting Gu; Jian Xu; Jinxin Ou; Zhiguo Jiang; Yiren Jiao; Tan Zou; Chong Wang
Journal:  Infect Genet Evol       Date:  2014-09-18       Impact factor: 3.342

8.  Genomic analysis of codon usage shows influence of mutation pressure, natural selection, and host features on Senecavirus A evolution.

Authors:  Ye Chen; Quanming Xu; Chen Tan; Xinxin Li; Xiaojuan Chi; Binxiang Cai; Ziding Yu; Yanmei Ma; Ji-Long Chen
Journal:  Microb Pathog       Date:  2017-09-22       Impact factor: 3.738

9.  Comprehensive analysis of codon usage pattern in Withania somnifera and its associated pathogens: Meloidogyne incognita and Alternaria alternata.

Authors:  Jyoti Chandan; Suruchi Gupta; Vikash Babu; Deepika Singh; Ravail Singh
Journal:  Genetica       Date:  2022-04-13       Impact factor: 1.633

10.  Comprehensive Analysis of Codon Usage Patterns in Chinese Porcine Circoviruses Based on Their Major Protein-Coding Sequences.

Authors:  Hua Feng; Joaquim Segalés; Fangyu Wang; Qianyue Jin; Aiping Wang; Gaiping Zhang; Giovanni Franzo
Journal:  Viruses       Date:  2022-01-03       Impact factor: 5.048

  10 in total

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