Abstract
One of the main challenges in the fight against coronavirus disease 2019 (COVID-19) stems from the ongoing evolution of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) into multiple variants. To address this hurdle, research groups around the world have independently developed protocols to isolate these variants from clinical samples. These isolates are then used in translational and basic research—for example, in vaccine development, drug screening or characterizing SARS-CoV-2 biology and pathogenesis. However, over the course of the COVID-19 pandemic, we have learned that the introduction of artefacts during both in vitro isolation and subsequent propagation to virus stocks can lessen the validity and reproducibility of data. We propose a rigorous pipeline for the generation of high-quality SARS-CoV-2 variant clonal isolates that minimizes the acquisition of mutations and introduces stringent controls to detect them. Overall, the process includes eight stages: (i) cell maintenance, (ii) isolation of SARS-CoV-2 from clinical specimens, (iii) determination of infectious virus titers by plaque assay, (iv) clonal isolation by plaque purification, (v) whole-virus-genome deep-sequencing, (vi and vii) amplification of selected virus clones to master and working stocks and (viii) sucrose purification. This comprehensive protocol will enable researchers to generate reliable SARS-CoV-2 variant inoculates for in vitro and in vivo experimentation and will facilitate comparisons and collaborative work. Quality-controlled working stocks for most applications can be generated from acquired biorepository virus within 1 month. An additional 5–8 d are required when virus is isolated from clinical swab material, and another 6–7 d is needed for sucrose-purifying the stocks.
Key points
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This protocol describes a method for generating single-clone viral stocks of severe acute respiratory syndrome coronavirus 2 from patient samples or from biorepositories.
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The protocol improves on previous methods by introducing a number of stringent measures to prevent the introduction of artefacts during viral propagation.
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Data availability
Source data are provided with this paper. Sequences for viruses used in this study are available at SARS-CoV-2 USA-WA1/2020, GISAID, EPI_ISL_404895.2; SARS-CoV-2 hCoV-19/England/204820464/2020, GISAID, EPI_ISL_683466; SARS-CoV-2 hCoV-19/South Africa/KRISP-K005325/2020, GISAID, EPI_ISL_678615; SARS-CoV-2 hCoV-19/Japan/TY7-503/2021, GISAID, EPI_ISL_877769; SARS-CoV-2 hCoV-19/USA/PHC658/2021, GenBank accession no. OL442162; SARS-CoV-2 hCoV-19/USA/CA-Stanford-106_S04/2022, GISAID, EPI_ISL_15196219; and SARS-CoV-2 USA/NYU-VC-003/2020, GenBank accession no. MT703677. Source data are provided with this paper.
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Acknowledgements
We thank Dr. Mehul Suthar from Emory University and the NIH/NIAID SARS-CoV-2 Assessment of Viral Evolution (SAVE) program and Dr. Benjamin Pinsky from Stanford University for providing us with Delta and Omicron variant isolates. We thank the Office of Science & Research High-Containment Laboratories at the NYU Grossman School of Medicine for their support in the completion of this research. The NYU Genome Technology Core is partially supported by NYU Cancer Center support grant P30CA016087. Research was further supported by the following grants from the NIH: R01AI143639 to M.D. and AI148574 to M.J.M. Work was further supported by The Vilcek Institute of Graduate Biomedical Sciences, by the NIH National Center for Advancing Translational Sciences (NCATS) through Grant Award Number UL1TR001445 and by NYU Grossman School of Medicine Startup funds.
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M.d.V. and M.D. developed the protocol. M.d.V., M.D., D.D., C.M. and R.D. wrote the manuscript. G.O.C., B.A.R.-R., K.M.C. and M.d.V. performed viral experiments. D.D. and C.M. performed the whole-viral-genome deep sequencing. R.D. performed sequence analysis. M.I.S. and M.J.M provided swab material for isolation and repository viruses. D.P. and L.D. assisted in the development of the protocol and supervised risk management of BSL-3 laboratory work. All authors read and edited the manuscript.
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M.J.M. reports the following potential competing interests: laboratory research and clinical trials contract funding for vaccines or monoclonal antibodies against SARS-CoV-2 with Lilly, Pfizer and Sanofi and personal fees for Scientific Advisory Board service from Merck, Meissa Vaccines, Inc. and Pfizer. All remaining authors declare no competing interests.
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Key references using this protocol
de Vries, M. et al. J. Virol. 95, e01819-20 (2021): https://doi.org/10.1128/JVI.01819-20
Ching, K. L. et al. PLoS Biol. 20, 1–25 (2022): https://doi.org/10.1371/journal.pbio.3001754
Rodriguez-Rodriguez, B. A. et al. Nat. Commun. 14, 3026 (2023): https://doi.org/10.1038/s41467-023-38783-0
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Source data
Source Data Fig. 2
Whole-well images of plaque assays
Source Data Fig. 3
Scans of plaque assay plates for panel a
Source Data Fig. 3
Raw data of titer determination in panel b
Source Data Fig. 4
Whole-well images of CPE
Souce Data Fig. 6
Scans of plaque assay plates
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de Vries, M., Ciabattoni, G.O., Rodriguez-Rodriguez, B.A. et al. Generation of quality-controlled SARS-CoV-2 variant stocks. Nat Protoc 18, 3821–3855 (2023). https://doi.org/10.1038/s41596-023-00897-6
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DOI: https://doi.org/10.1038/s41596-023-00897-6
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