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The Journal of infection2020; 80(6); 671-693; doi: 10.1016/j.jinf.2020.01.004

Codon usage bias of H3N8 equine influenza virus – An evolutionary perspective.

Abstract: No abstract available
Publication Date: 2020-01-17 PubMed ID: 31958543DOI: 10.1016/j.jinf.2020.01.004Google Scholar: Lookup
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Cite This Article

APA
Ou J, Chen R, Yan Z, Ou S, Dong N, Lu G, Li S. (2020). Codon usage bias of H3N8 equine influenza virus – An evolutionary perspective. J Infect, 80(6), 671-693. https://doi.org/10.1016/j.jinf.2020.01.004

Publication

ISSN: 1532-2742
NlmUniqueID: 7908424
Country: England
Language: English
Volume: 80
Issue: 6
Pages: 671-693
PII: S0163-4453(20)30021-9

Researcher Affiliations

Ou, Jiajun
  • College of Veterinary Medicine, South China Agricultural University, Guangzhou 510642, Guangdong Province, People's Republic of China; Guangdong Provincial Key Laboratory of Prevention and Control for Severe Clinical Animal Diseases, Guangzhou 510642, Guangdong Province, People's Republic of China; Guangdong Technological Engineering Research Center for Pet, Guangzhou 510642, Guangdong Province, People's Republic of China.
Chen, Ruiai
  • College of Veterinary Medicine, South China Agricultural University, Guangzhou 510642, Guangdong Province, People's Republic of China; Zhaoqing Institute of Biotechnology Co., Ltd, Zhaoqing 526238, Guangdong Province, People's Republic of China.
Yan, Zhongshan
  • College of Veterinary Medicine, South China Agricultural University, Guangzhou 510642, Guangdong Province, People's Republic of China; Guangdong Provincial Key Laboratory of Prevention and Control for Severe Clinical Animal Diseases, Guangzhou 510642, Guangdong Province, People's Republic of China; Guangdong Technological Engineering Research Center for Pet, Guangzhou 510642, Guangdong Province, People's Republic of China.
Ou, Shudan
  • College of Veterinary Medicine, South China Agricultural University, Guangzhou 510642, Guangdong Province, People's Republic of China; Guangdong Provincial Key Laboratory of Prevention and Control for Severe Clinical Animal Diseases, Guangzhou 510642, Guangdong Province, People's Republic of China; Guangdong Technological Engineering Research Center for Pet, Guangzhou 510642, Guangdong Province, People's Republic of China.
Dong, Nan
  • Zhaoqing Institute of Biotechnology Co., Ltd, Zhaoqing 526238, Guangdong Province, People's Republic of China.
Lu, Gang
  • College of Veterinary Medicine, South China Agricultural University, Guangzhou 510642, Guangdong Province, People's Republic of China; Guangdong Provincial Key Laboratory of Prevention and Control for Severe Clinical Animal Diseases, Guangzhou 510642, Guangdong Province, People's Republic of China; Guangdong Technological Engineering Research Center for Pet, Guangzhou 510642, Guangdong Province, People's Republic of China. Electronic address: lg@scau.edu.cn.
Li, Shoujun
  • College of Veterinary Medicine, South China Agricultural University, Guangzhou 510642, Guangdong Province, People's Republic of China; Guangdong Provincial Key Laboratory of Prevention and Control for Severe Clinical Animal Diseases, Guangzhou 510642, Guangdong Province, People's Republic of China; Guangdong Technological Engineering Research Center for Pet, Guangzhou 510642, Guangdong Province, People's Republic of China. Electronic address: shoujunli@scau.edu.cn.

MeSH Terms

  • Animals
  • Codon Usage
  • Horse Diseases
  • Horses
  • Influenza A Virus, H3N8 Subtype / genetics
  • Influenza A virus

Conflict of Interest Statement

Declaration of Competing Interests The authors declare not conflict of interest.

Citations

This article has been cited 2 times.
  1. Li Y, Zhang X, Liu Y, Feng Y, Wang T, Ge Y, Kong Y, Sun H, Xiang H, Zhou B, Fang S, Xia Q, Hu X, Sun W, Wang X, Meng K, Lv C, Li E, Xia X, He H, Gao Y, Jin N. Characterization of Canine Influenza Virus A (H3N2) Circulating in Dogs in China from 2016 to 2018. Viruses 2021 Nov 15;13(11).
    doi: 10.3390/v13112279pubmed: 34835084google scholar: lookup
  2. Nambou K, Anakpa M. Deciphering the co-adaptation of codon usage between respiratory coronaviruses and their human host uncovers candidate therapeutics for COVID-19. Infect Genet Evol 2020 Nov;85:104471.
    doi: 10.1016/j.meegid.2020.104471pubmed: 32707288google scholar: lookup