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Isolation and characterization of a bat SARS-like coronavirus that uses the ACE2 receptor

Author

Listed:
  • Xing-Yi Ge

    (Center for Emerging Infectious Diseases, State Key Laboratory of Virology, Wuhan Institute of Virology of the Chinese Academy of Sciences)

  • Jia-Lu Li

    (Center for Emerging Infectious Diseases, State Key Laboratory of Virology, Wuhan Institute of Virology of the Chinese Academy of Sciences)

  • Xing-Lou Yang

    (Center for Emerging Infectious Diseases, State Key Laboratory of Virology, Wuhan Institute of Virology of the Chinese Academy of Sciences)

  • Aleksei A. Chmura

    (EcoHealth Alliance)

  • Guangjian Zhu

    (EcoHealth Alliance)

  • Jonathan H. Epstein

    (EcoHealth Alliance)

  • Jonna K. Mazet

    (One Health Institute, School of Veterinary Medicine, University of California)

  • Ben Hu

    (Center for Emerging Infectious Diseases, State Key Laboratory of Virology, Wuhan Institute of Virology of the Chinese Academy of Sciences)

  • Wei Zhang

    (Center for Emerging Infectious Diseases, State Key Laboratory of Virology, Wuhan Institute of Virology of the Chinese Academy of Sciences)

  • Cheng Peng

    (Center for Emerging Infectious Diseases, State Key Laboratory of Virology, Wuhan Institute of Virology of the Chinese Academy of Sciences)

  • Yu-Ji Zhang

    (Center for Emerging Infectious Diseases, State Key Laboratory of Virology, Wuhan Institute of Virology of the Chinese Academy of Sciences)

  • Chu-Ming Luo

    (Center for Emerging Infectious Diseases, State Key Laboratory of Virology, Wuhan Institute of Virology of the Chinese Academy of Sciences)

  • Bing Tan

    (Center for Emerging Infectious Diseases, State Key Laboratory of Virology, Wuhan Institute of Virology of the Chinese Academy of Sciences)

  • Ning Wang

    (Center for Emerging Infectious Diseases, State Key Laboratory of Virology, Wuhan Institute of Virology of the Chinese Academy of Sciences)

  • Yan Zhu

    (Center for Emerging Infectious Diseases, State Key Laboratory of Virology, Wuhan Institute of Virology of the Chinese Academy of Sciences)

  • Gary Crameri

    (CSIRO Australian Animal Health Laboratory)

  • Shu-Yi Zhang

    (College of Life Sciences, East China Normal University, Shanghai 200062, China)

  • Lin-Fa Wang

    (CSIRO Australian Animal Health Laboratory
    Emerging Infectious Diseases Program, Duke-NUS Graduate Medical School, Singapore 169857)

  • Peter Daszak

    (EcoHealth Alliance)

  • Zheng-Li Shi

    (Center for Emerging Infectious Diseases, State Key Laboratory of Virology, Wuhan Institute of Virology of the Chinese Academy of Sciences)

Abstract

Whole-genome sequences of two novel SARS-CoV-related bat coronaviruses, in addition to a live isolate of a bat SARS-like coronavirus, are reported; the live isolate can infect human cells using ACE2, providing the strongest evidence to date that Chinese horseshoe bats are natural reservoirs of SARS-CoV.

Suggested Citation

  • Xing-Yi Ge & Jia-Lu Li & Xing-Lou Yang & Aleksei A. Chmura & Guangjian Zhu & Jonathan H. Epstein & Jonna K. Mazet & Ben Hu & Wei Zhang & Cheng Peng & Yu-Ji Zhang & Chu-Ming Luo & Bing Tan & Ning Wang , 2013. "Isolation and characterization of a bat SARS-like coronavirus that uses the ACE2 receptor," Nature, Nature, vol. 503(7477), pages 535-538, November.
    • Handle: RePEc:nat:nature:v:503:y:2013:i:7477:d:10.1038_nature12711
    DOI: 10.1038/nature12711
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    Cited by:

    1. Milad Haghani & Pegah Varamini, 2021. "Temporal evolution, most influential studies and sleeping beauties of the coronavirus literature," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(8), pages 7005-7050, August.
    2. Catanzaro, Daniele & Frohn, Martin & Gascuel, Olivier & Pesenti, Raffaele, 2022. "A tutorial on the balanced minimum evolution problem," European Journal of Operational Research, Elsevier, vol. 300(1), pages 1-19.
    3. Jing Wang & Yuan-fei Pan & Li-fen Yang & Wei-hong Yang & Kexin Lv & Chu-ming Luo & Juan Wang & Guo-peng Kuang & Wei-chen Wu & Qin-yu Gou & Gen-yang Xin & Bo Li & Huan-le Luo & Shoudeng Chen & Yue-long, 2023. "Individual bat virome analysis reveals co-infection and spillover among bats and virus zoonotic potential," Nature Communications, Nature, vol. 14(1), pages 1-13, December.
    4. Aliakbar Pourhatami & Mohammad Kaviyani-Charati & Bahareh Kargar & Hamed Baziyad & Maryam Kargar & Carlos Olmeda-Gómez, 2021. "Mapping the intellectual structure of the coronavirus field (2000–2020): a co-word analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(8), pages 6625-6657, August.
    5. Catanzaro, Daniele & Frohn, Martin & Gascuel, Olivier & Pesenti, Raffaele, 2021. "A Tutorial on the Balanced Minimum Evolution Problem," LIDAM Discussion Papers CORE 20210, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    6. Yelin Han & Panpan Xu & Yuyang Wang & Wenliang Zhao & Junpeng Zhang & Shuyi Zhang & Jianwei Wang & Qi Jin & Zhiqiang Wu, 2023. "Panoramic analysis of coronaviruses carried by representative bat species in Southern China to better understand the coronavirus sphere," Nature Communications, Nature, vol. 14(1), pages 1-20, December.
    7. Rahman, Mati ur & Ahmad, Saeed & Matoog, R.T. & Alshehri, Nawal A. & Khan, Tahir, 2021. "Study on the mathematical modelling of COVID-19 with Caputo-Fabrizio operator," Chaos, Solitons & Fractals, Elsevier, vol. 150(C).
    8. Nicola F. Müller & Kathryn E. Kistler & Trevor Bedford, 2022. "A Bayesian approach to infer recombination patterns in coronaviruses," Nature Communications, Nature, vol. 13(1), pages 1-9, December.
    9. Katarzyna Czech & Michał Wielechowski & Pavel Kotyza & Irena Benešová & Adriana Laputková, 2020. "Shaking Stability: COVID-19 Impact on the Visegrad Group Countries’ Financial Markets," Sustainability, MDPI, vol. 12(15), pages 1-19, August.
    10. Cecilia A. Sánchez & Hongying Li & Kendra L. Phelps & Carlos Zambrana-Torrelio & Lin-Fa Wang & Peng Zhou & Zheng-Li Shi & Kevin J. Olival & Peter Daszak, 2022. "A strategy to assess spillover risk of bat SARS-related coronaviruses in Southeast Asia," Nature Communications, Nature, vol. 13(1), pages 1-12, December.
    11. Alqaralleh, Huthaifa & Canepa, Alessandra & Chini, Zanetti, 2021. "Financial Contagion During the Covid-19 Pandemic: A Wavelet-Copula-GARCH Approach," Department of Economics and Statistics Cognetti de Martiis. Working Papers 202110, University of Turin.
    12. Dabiah Alboaneen & Bernardi Pranggono & Dhahi Alshammari & Nourah Alqahtani & Raja Alyaffer, 2020. "Predicting the Epidemiological Outbreak of the Coronavirus Disease 2019 (COVID-19) in Saudi Arabia," IJERPH, MDPI, vol. 17(12), pages 1-10, June.
    13. You, Xuemei & Zhang, Man & Ma, Yinghong & Tan, Jipeng & Liu, Zhiyuan, 2023. "Impact of higher-order interactions and individual emotional heterogeneity on information-disease coupled dynamics in multiplex networks," Chaos, Solitons & Fractals, Elsevier, vol. 177(C).
    14. Peter J. Halfmann & Kathryn Loeffler & Augustine Duffy & Makoto Kuroda & Jie E. Yang & Elizabeth R. Wright & Yoshihiro Kawaoka & Ravi S. Kane, 2024. "Broad protection against clade 1 sarbecoviruses after a single immunization with cocktail spike-protein-nanoparticle vaccine," Nature Communications, Nature, vol. 15(1), pages 1-14, December.

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