Literature DB >> 32269121

International Expansion of a Novel SARS-CoV-2 Mutant.

Minjin Wang1, Mengjiao Li1, Ruotong Ren2,3, Lifeng Li3, En-Qiang Chen4, Weimin Li5, Binwu Ying6.   

Abstract

Entities:  

Keywords:  SARS-CoV-2; molecular epidemiology; mutation; virus genome

Mesh:

Year:  2020        PMID: 32269121      PMCID: PMC7307084          DOI: 10.1128/JVI.00567-20

Source DB:  PubMed          Journal:  J Virol        ISSN: 0022-538X            Impact factor:   5.103


× No keyword cloud information.

LETTER

RNA viruses such as coronavirus are rapidly evolving pathogens that can accumulate considerable genetic diversity in relatively short time periods. Mutation accumulated in severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) genomes during its pandemic spread can cause unpredictable effects on coronavirus disease 2019 (COVID-19) and further complicate epidemic control efforts (1). Here we report that a novel SARS-CoV-2 mutation in its ORF3a gene appears to be spreading worldwide, which deserves close attention. We collected 95 SARS-CoV-2 samples from the Sichuan Province of China for amplification-free whole-genome sequencing and acquired 13 whole-genome sequences, which were analyzed for sequence variation and evolution together with 199 SARS-CoV-2 genomes publicly released in the GISAID EpiFlu database (https://www.gisaid.org/) (2) and 7 genomes downloaded from the National Genomics Data Center (NGDC) database (https://bigd.big.ac.cn/ncov). This study was approved by the Biomedical Research Ethics Committee of the West China Hospital of Sichuan University (reference no. 193, 2020) with a waiver of informed consent. Based on 10 high-frequency mutations (mutant allele frequency of >5%), these SARS-CoV-2 genomes can be classified into five main groups: original strain 1 and four variants with different mutations groups and clusters (Fig. 1). The most common variants (group 1) exhibited both a missense mutation (ORF8:c.251tTa>tCa; present in 31.58% of the isolates) and a synonymous mutation (orf1ab:c.8517agC>agT; found in 30.62% of the isolates), suggesting a possible linkage between these two sites. Also, these subgroups evolved in the main group 1 with three other mutations. Group 2 was clustered together with mutants including missense variant S: c.1841gAt>gGt, orf1ab upstream gene variant and synonymous variant orf1ab: c.2772ttC>ttT. Group 3 viral isolates were much less frequent (11.48%) and characterized by a missense mutation (orf1ab:c.10818ttG>ttT). Group 4 viral isolates contained a novel missense mutation (ORF3a:c.752gGt>gTt) first identified in a Chinese family. Notably, however, group 4 viral isolates were most frequently found outside mainland China (23.28%; 27/116; P < 0.01 by Fisher’s exact test). Additionally, group 2 and group 4 showed obvious aggregation in non-Chinese countries and regions.
FIG 1

Maximum likelihood tree based on the whole-genome sequences of 221 viral strains. A total of 199 high-quality genomes were collected from the GISAID EpiFlu database, including 1 Rhinolophus affinis isolate, 6 Manis javanica isolates, and 2 environmental isolates. Twenty-two additional genomes were collected from other resources, including 7 genomes from NGDC (https://bigd.big.ac.cn/ncov) and 13 genomes from the West China Hospital (WCH) of Sichuan University. SARS-CoV (NC_004718.3) and Middle East respiratory syndrome coronavirus (MERS-CoV) (NC_019843.3) genome sequences were downloaded from the NCBI RefSeq database. MAFFT (version 7.543) was used for sequence alignment, and PhyML (version 3.0) was used to construct the evolutionary tree. Variation information on the human SARS-CoV-2 genome was derived from NGDC. Mutations of 13 WCH genomes were analyzed using NGDC online tools (https://bigd.big.ac.cn/ncov/tool/variation-identify). Variations were displayed in a unified format: gene: c. position of the variant nucleotide in the coding sequence and the sequence change information, e.g., ORF8: c. 251tTa>tCa. Uppercase letters represent the variant nucleotides.

Maximum likelihood tree based on the whole-genome sequences of 221 viral strains. A total of 199 high-quality genomes were collected from the GISAID EpiFlu database, including 1 Rhinolophus affinis isolate, 6 Manis javanica isolates, and 2 environmental isolates. Twenty-two additional genomes were collected from other resources, including 7 genomes from NGDC (https://bigd.big.ac.cn/ncov) and 13 genomes from the West China Hospital (WCH) of Sichuan University. SARS-CoV (NC_004718.3) and Middle East respiratory syndrome coronavirus (MERS-CoV) (NC_019843.3) genome sequences were downloaded from the NCBI RefSeq database. MAFFT (version 7.543) was used for sequence alignment, and PhyML (version 3.0) was used to construct the evolutionary tree. Variation information on the human SARS-CoV-2 genome was derived from NGDC. Mutations of 13 WCH genomes were analyzed using NGDC online tools (https://bigd.big.ac.cn/ncov/tool/variation-identify). Variations were displayed in a unified format: gene: c. position of the variant nucleotide in the coding sequence and the sequence change information, e.g., ORF8: c. 251tTa>tCa. Uppercase letters represent the variant nucleotides. The family (an elderly woman and two young family members) carrying the group 4 variant returned from Wuhan to their hometown in Sichuan on 20 January 2020. By 23 January 2020, the elderly woman exhibited symptoms of fever and cough, and her two children also developed these symptoms in the following days. Their throat swab samples were tested and gave SARS-CoV-2-positive results by reverse real-time PCR assay on 25 January 2020. The elderly woman with chronic hypertension was in critical condition with COVID-19 disease, while the two young family members showed mild symptoms. The underlying disease may have contributed to the progress of the disease. None of these individuals traveled outside of China between the start of the COVID-19 epidemic and their return to Sichuan; however, the group 4 variant has demonstrated global dissemination. We performed a timeline analysis using the sample collection dates reported in the GISAID EpiFlu database. Except for the three patients from Sichuan, China, who traveled from Wuhan prior to the onset of symptoms, group 4 isolates with ORF3a mutant were subsequently reported in several other countries and regions, including China (Taiwan), France (Paris), Australia (Sydney and Clayton), Singapore, South Korea, United Kingdom, and Italy. It should be noted that this mutant virus strain appears to be the most prevalent form of SARS-COV-2 in France, Italy, Brazil, and Singapore. Virus genome data from France indicate that SARS-CoV-2 strains carrying ORF3a:c.752gGt>gTt often have a S:c.1099Gtc>Ttc mutation in their S gene, which interacts with ACE2 mediating viral entry into its host cells (3), and is regarded as a critical factor for viral transmission and virulence (4, 5). It is not yet clear whether this mutation is common in group 4 viral isolates from different geographical regions. Given the prevalence of group 4 isolates in multiple countries, including France, Italy, and South Korea, which is experiencing a rapidly growing epidemic, this information should be of significant importance to further investigate whether this mutation enhances host cell entry. At present, the SARS-CoV-2 epidemic in China is diminishing owing to collected control efforts, but the rapid global spread has become a major health concern. Very little is known about how rapidly the SARS-CoV-2 genome mutates and how this affects transmission or pathogenesis. Our findings indicate that comprehensive studies combining genomic epidemiological, and clinical data urgently need to be performed to clarify these issues.
  4 in total

1.  GISAID: Global initiative on sharing all influenza data - from vision to reality.

Authors:  Yuelong Shu; John McCauley
Journal:  Euro Surveill       Date:  2017-03-30

Review 2.  Bat-to-human: spike features determining 'host jump' of coronaviruses SARS-CoV, MERS-CoV, and beyond.

Authors:  Guangwen Lu; Qihui Wang; George F Gao
Journal:  Trends Microbiol       Date:  2015-07-21       Impact factor: 17.079

3.  Tissue distribution of ACE2 protein, the functional receptor for SARS coronavirus. A first step in understanding SARS pathogenesis.

Authors:  I Hamming; W Timens; M L C Bulthuis; A T Lely; G J Navis; H van Goor
Journal:  J Pathol       Date:  2004-06       Impact factor: 7.996

4.  Functional assessment of cell entry and receptor usage for SARS-CoV-2 and other lineage B betacoronaviruses.

Authors:  Michael Letko; Andrea Marzi; Vincent Munster
Journal:  Nat Microbiol       Date:  2020-02-24       Impact factor: 17.745

  4 in total
  23 in total

Review 1.  Role of the Microbiome in the Pathogenesis of COVID-19.

Authors:  Rituparna De; Shanta Dutta
Journal:  Front Cell Infect Microbiol       Date:  2022-03-31       Impact factor: 5.293

2.  Hemi-Babim and Fenoterol as Potential Inhibitors of MPro and Papain-like Protease against SARS-CoV-2: An In-Silico Study.

Authors:  Ahmad Alzamami; Norah A Alturki; Youssef Saeed Alghamdi; Shaban Ahmad; Saleh Alshamrani; Saeed A Asiri; Mutaib M Mashraqi
Journal:  Medicina (Kaunas)       Date:  2022-04-05       Impact factor: 2.948

Review 3.  COVID-19 - Toward a comprehensive understanding of the disease.

Authors:  Maciej M Kowalik; Piotr Trzonkowski; Magdalena Łasińska-Kowara; Andrzej Mital; Tomasz Smiatacz; Miłosz Jaguszewski
Journal:  Cardiol J       Date:  2020-05-07       Impact factor: 2.737

4.  The Clinical Characteristics and Prognosis Factors of Mild-Moderate Patients With COVID-19 in a Mobile Cabin Hospital: A Retrospective, Single-Center Study.

Authors:  Jishou Zhang; Menglong Wang; Mengmeng Zhao; Shanshan Guo; Yao Xu; Jing Ye; Wen Ding; Zhen Wang; Di Ye; Wei Pan; Menglin Liu; Dan Li; Zhen Luo; Jianfang Liu; Jun Wan
Journal:  Front Public Health       Date:  2020-06-05

5.  Differentiating COVID-19 Response Strategies.

Authors:  Huipeng Liao; Lei Zhang; Gifty Marley; Weiming Tang
Journal:  Innovation (Camb)       Date:  2020-05-20

6.  Insights into SARS-CoV-2, the Coronavirus Underlying COVID-19: Recent Genomic Data and the Development of Reverse Genetics Systems.

Authors:  Severino Jefferson Ribeiro da Silva; Renata Pessôa Germano Mendes; Caroline Targino Alves da Silva; Alessio Lorusso; Alain Kohl; Lindomar Pena
Journal:  J Gen Virol       Date:  2020-06-24       Impact factor: 3.891

7.  How to choose the right real-time RT-PCR primer sets for the SARS-CoV-2 genome detection?

Authors:  Ahalieyah Anantharajah; Raphaël Helaers; Jean-Philippe Defour; Nathalie Olive; Florence Kabera; Luc Croonen; Françoise Deldime; Jean-Luc Vaerman; Cindy Barbée; Monique Bodéus; Anais Scohy; Alexia Verroken; Hector Rodriguez-Villalobos; Benoît Kabamba-Mukadi
Journal:  J Virol Methods       Date:  2021-05-24       Impact factor: 2.014

8.  Long-term and herd immunity against SARS-CoV-2: implications from current and past knowledge.

Authors:  Eleni Papachristodoulou; Loukas Kakoullis; Konstantinos Parperis; George Panos
Journal:  Pathog Dis       Date:  2020-04-01       Impact factor: 3.166

9.  Variant analysis of 1,040 SARS-CoV-2 genomes.

Authors:  Eric C Rouchka; Julia H Chariker; Donghoon Chung
Journal:  PLoS One       Date:  2020-11-05       Impact factor: 3.240

10.  Effects of SARS-CoV-2 mutations on protein structures and intraviral protein-protein interactions.

Authors:  Siqi Wu; Chang Tian; Panpan Liu; Dongjie Guo; Wei Zheng; Xiaoqiang Huang; Yang Zhang; Lijun Liu
Journal:  J Med Virol       Date:  2020-11-01       Impact factor: 20.693

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.