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10.3760/cma.j.cn112150-20200217-00128

http://scihub22266oqcxt.onion/10.3760/cma.j.cn112150-20200217-00128
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32171191!?!32171191

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suck abstract from ncbi


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pmid32171191      Zhonghua+Yu+Fang+Yi+Xue+Za+Zhi 2020 ; 54 (5): 486-490
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  • Genomic analysis of a 2019-novel coronavirus (2019-nCoV) strain in the first COVID-19 patient found in Hangzhou #MMPMID32171191
  • Yu H; Wang XC; Li J; Qian X; Yu XF; Sun Z; Chen JF; Kao QJ; Wang HQ; Pan JC
  • Zhonghua Yu Fang Yi Xue Za Zhi 2020[May]; 54 (5): 486-490 PMID32171191show ga
  • Objective: To understand the viral genomic characteristics of a 2019-novel coronavirus (2019-nCoV) strain in the first COVID-19 patient found in Hangzhou, China. Methods: Viral RNA was extracted in throat swab and sputum sample of the patient and was performed real-time reverse transcription PCR detection and obtained viral genome by high-throughput sequencing method. Phylogenetic analysis was conducted using 29 2019-nCoV genomes and 30 beta-coronavirus genomes deposited in NCBI GenBank. Fifteen genomes from Wuhan were grouped by mutation sites and others were identified by Wuhan's or specific mutation sites. Results: A 29 833 bp length genome of the first 2019-nCoV strain in Hangzhou was obtained, covering full length of the coding regions of coronavirus. Phylogenetic analysis showed that the genome was closest to the genome of a bat SARS-like coronavirus strain RaTG13 with an identity of 96.11% (28 666/29 826). Among the genes between two genomes, E genes were highly conserved (99.56%), while S genes had lowest identity (92.87%). The genome sequence similarities among 29 strains from China (Hangzhou, Wuhan, and Shenzhen), Japan, USA, and Finland, were all more than 99.9%; however, some single nucleotide polymorphisms were identified in some strains. Conclusion: The genome of Hangzhou 2019-nCoV strain was very close to the genomes of strains from other cities in China and overseas collected at early epidemic phase. The 2019-nCoV genome sequencing method used in this paper provides an useful tool for monitoring variation of viral genes.
  • |*Genome, Viral[MESH]
  • |Betacoronavirus/*genetics[MESH]
  • |COVID-19[MESH]
  • |China/epidemiology[MESH]
  • |Coronavirus Infections/epidemiology/therapy/*virology[MESH]
  • |Humans[MESH]
  • |Pandemics[MESH]
  • |Pneumonia, Viral/epidemiology/therapy/*virology[MESH]


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