Genome Composition and Divergence of the Novel Coronavirus (2019-nCoV) Originating in China

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Abstract

An in-depth annotation of the newly discovered coronavirus (2019-nCoV) genome has revealed differences between 2019-nCoV and severe acute respiratory syndrome (SARS) or SARS-like coronaviruses. A systematic comparison identified 380 amino acid substitutions between these coronaviruses, which may have caused functional and pathogenic divergence of 2019-nCoV.

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SARS corona virus peptides recognized by antibodies in the sera of convalescent cases

Jian-Ping Guo, Martin Petric, William Campbell … (2004)

We synthesized on cellulose membranes 4942 ten-amino-acid peptides which included all of the sequences predicted for the severe acute respiratory syndrome (SARS) corona virus. We probed these membranes with four pairs of acute and convalescent sera from recovered SARS cases. We correlated positively reacting peptides with the in vitro SARS-CoV neutralizing activity of the samples. We found that convalescent sera with high neutralizing activity recognized exclusively only a limited number of peptides on the membranes. This suggests that antibodies against the epitopes represented by these peptides could be responsible for much of the SARS-CoV neutralizing activity. The findings have implications for monitoring humoral responses to SARS-CoV as well as for developing a successful SARS vaccine.

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Inferring the hosts of coronavirus using dual statistical models based on nucleotide composition

Qin Tang, Yulong Song, Mijuan Shi … (2015)

Many coronaviruses are capable of interspecies transmission. Some of them have caused worldwide panic as emerging human pathogens in recent years, e.g., severe acute respiratory syndrome coronavirus (SARS-CoV) and Middle East respiratory syndrome coronavirus (MERS-CoV). In order to assess their threat to humans, we explored to infer the potential hosts of coronaviruses using a dual-model approach based on nineteen parameters computed from spike genes of coronaviruses. Both the support vector machine (SVM) model and the Mahalanobis distance (MD) discriminant model achieved high accuracies in leave-one-out cross-validation of training data consisting of 730 representative coronaviruses (99.86% and 98.08% respectively). Predictions on 47 additional coronaviruses precisely conformed to conclusions or speculations by other researchers. Our approach is implemented as a web server that can be accessed at http://bioinfo.ihb.ac.cn/seq2hosts.

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Evidence for camel-to-human transmission of MERS coronavirus.

Christian Drosten, Paul Kellam, Ziad Memish (2014)

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Author and article information

Contributors

Wenjie Tan

Genhong Cheng

Taijiao Jiang

Journal

Journal ID (nlm-ta): Cell Host Microbe

Journal ID (iso-abbrev): Cell Host Microbe

Title: Cell Host & Microbe

Publisher: Elsevier Inc.

ISSN (Print): 1931-3128

ISSN (Electronic): 1934-6069

Publication date PMC-release: 7 February 2020

Publication date (Print): 11 March 2020

Publication date (Electronic): 7 February 2020

Volume: 27

Issue: 3

Pages: 325-328

Affiliations

[1 ]Center for Systems Medicine, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100005, China

[2 ]College of Biology, Hunan Provincial Key Laboratory of Medical Virology, Hunan University, Changsha 410082, China

[3 ]Key Laboratory of Medical Virology, National Health and Family Planning Commission, National Institute for Viral Disease Control and Prevention, China CDC, Beijing 102206, China

[4 ]School of Computer Science and Technology, Soochow University, Suzhou, China

[5 ]Department of Cell Biology, School of Life Science, Central South University, Changsha 410013, China

[6 ]Department of Microbiology, Immunology and Molecular Genetics, University of California, Los Angeles, Los Angeles, USA

[7 ]Suzhou Institute of Systems Medicine, Suzhou, Jiangsu 215123, China

[8 ]Hunan Key Laboratory of Animal Models for Human Diseases, Hunan Key Laboratory of Medical Genetics & Center for Medical Genetics, School of Life Science, Central South University, Changsha 410013, China

Author notes

[∗ ]Corresponding author tanwj@ 123456ivdc.chinacdc.cn

[∗∗ ]Corresponding author gcheng@ 123456mednet.ucla.edu

[∗∗∗ ]Corresponding author taijiao@ 123456ibms.pumc.edu.cn

[9]

These authors contributed equally

Article

Publisher ID: S1931-3128(20)30072-X

DOI: 10.1016/j.chom.2020.02.001

PMC ID: 7154514

PubMed ID: 32035028

SO-VID: 0b246960-c072-492d-ad6b-932860a1c6c0

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Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.

Genome Composition and Divergence of the Novel Coronavirus (2019-nCoV) Originating in China

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Novel Coronavirus Disease COVID-19

Most cited references 4

SARS corona virus peptides recognized by antibodies in the sera of convalescent cases

Inferring the hosts of coronavirus using dual statistical models based on nucleotide composition

Evidence for camel-to-human transmission of MERS coronavirus.

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