Zum Hauptinhalt springen

Genomic reconstruction of the SARS-CoV-2 epidemic in England.

Vöhringer, HS ; Sanderson, T ; et al.
In: Nature, Jg. 600 (2021-12-01), Heft 7889, S. 506-511
Online academicJournal

Titel:
Genomic reconstruction of the SARS-CoV-2 epidemic in England.
Autor/in / Beteiligte Person: Vöhringer, HS ; Sanderson, T ; Sinnott, M ; De Maio, N ; Nguyen, T ; Goater, R ; Schwach, F ; Harrison, I ; Hellewell, J ; Ariani, CV ; Gonçalves, S ; Jackson, DK ; Johnston, I ; Jung, AW ; Saint, C ; Sillitoe, J ; Suciu, M ; Goldman, N ; Panovska-Griffiths, J ; Birney, E ; Volz, E ; Funk, S ; Kwiatkowski, D ; Chand, M ; Martincorena, I ; Barrett, JC ; Gerstung, M
Link:
Zeitschrift: Nature, Jg. 600 (2021-12-01), Heft 7889, S. 506-511
Veröffentlichung: Basingstoke : Nature Publishing Group ; <i>Original Publication</i>: London, Macmillan Journals ltd., 2021
Medientyp: academicJournal
ISSN: 1476-4687 (electronic)
DOI: 10.1038/s41586-021-04069-y
Schlagwort:
  • Amino Acid Substitution
  • COVID-19 transmission
  • England epidemiology
  • Epidemiological Monitoring
  • Humans
  • Molecular Epidemiology
  • Mutation
  • Quarantine statistics & numerical data
  • SARS-CoV-2 classification
  • Spatio-Temporal Analysis
  • Spike Glycoprotein, Coronavirus genetics
  • COVID-19 epidemiology
  • COVID-19 virology
  • Genome, Viral genetics
  • Genomics
  • SARS-CoV-2 genetics
Sonstiges:
  • Nachgewiesen in: MEDLINE
  • Sprachen: English
  • Corporate Authors: Wellcome Sanger Institute COVID-19 Surveillance Team ; COVID-19 Genomics UK (COG-UK) Consortium*
  • Publication Type: Journal Article; Research Support, Non-U.S. Gov't
  • Language: English
  • [Nature] 2021 Dec; Vol. 600 (7889), pp. 506-511. <i>Date of Electronic Publication: </i>2021 Oct 14.
  • MeSH Terms: Genomics* ; COVID-19 / *epidemiology ; COVID-19 / *virology ; Genome, Viral / *genetics ; SARS-CoV-2 / *genetics ; Amino Acid Substitution ; COVID-19 / transmission ; England / epidemiology ; Epidemiological Monitoring ; Humans ; Molecular Epidemiology ; Mutation ; Quarantine / statistics & numerical data ; SARS-CoV-2 / classification ; Spatio-Temporal Analysis ; Spike Glycoprotein, Coronavirus / genetics
  • Comments: Erratum in: Nature. 2022 Jun;606(7915):E18. (PMID: 35701578)
  • References: Rambaut, A. Phylogenetic Analysis of nCoV-2019 Genomes (Virological, 2020); https://virological.org/t/phylodynamic-analysis-176-genomes-6-mar-2020/356. ; Nextstrain Team Genomic Epidemiology of Novel Coronavirus—Global Subsampling (Nextstrain, 2020); https://nextstrain.org/ncov/global?l=clock. ; Hadfield, J. et al. Nextstrain: real-time tracking of pathogen evolution. Bioinformatics 34, 4121–4123 (2018). (PMID: 29790939624793110.1093/bioinformatics/bty407) ; Volz, E. et al. Evaluating the effects of SARS-CoV-2 spike mutation D614G on transmissibility and pathogenicity. Cell 184, 64–75 (2021). (PMID: 33275900767400710.1016/j.cell.2020.11.020) ; Rambaut, A. et al. A dynamic nomenclature proposal for SARS-CoV-2 lineages to assist genomic epidemiology. Nat. Microbiol. 5, 1403–1407 (2020). (PMID: 32669681761051910.1038/s41564-020-0770-5) ; O’Toole, Á. et al. Global Report Investigating Novel Coronavirus Haplotypes https://cov-lineages.org/global_report.html (2021). ; Hodcroft, E. B. et al. Spread of a SARS-CoV-2 variant through Europe in the summer of 2020. Nature 595, 707–712 (2021). (PMID: 3409856810.1038/s41586-021-03677-y) ; Tegally, H., Wilkinson, E., Lessells, R.J. et al. Sixteen novel lineages of SARS-CoV-2 in South Africa. Nat. Med. 27, 440–446 (2021). ; Rambaut, A. et al. Preliminary Genomic Characterisation of an Emergent SARS-CoV-2 Lineage in the UK Defined by a Novel Set of Spike Mutations (Virological, 2020); https://virological.org/t/preliminary-genomic-characterisation-of-an-emergent-sars-cov-2-lineage-in-the-uk-defined-by-a-novel-set-of-spike-mutations/563. ; Volz, E., Mishra, S., Chand, M. et al. Assessing transmissibility of SARS-CoV-2 lineage B.1.1.7 in England. Nature 593, 266–269 (2021). ; Davies, N. G. et al. Estimated transmissibility and impact of SARS-CoV-2 lineage B.1.1.7 in England. Science 372, eabg3055 (2021). ; O’Toole, Á. et al. Tracking the International Spread of SARS-CoV-2 Lineages B.1.1.7 and B.1.351/501Y-V2 (Virological, 2021); https://virological.org/t/tracking-the-international-spread-of-sars-cov-2-lineages-b-1-1-7-and-b-1-351-501y-v2/592. ; Washington, N. L. et al. Emergence and rapid transmission of SARS-CoV-2 B.1.1.7 in the United States. Cell 184, 2587–2594 (2021). (PMID: 33861950800904010.1016/j.cell.2021.03.052) ; Faria, N. R. et al. Genomic Characterisation of an Emergent SARS-CoV-2 Lineage in Manaus: Preliminary Findings (Virological, 2021); https://www.icpcovid.com/sites/default/files/2021-01/Ep%20102-1%20Genomic%20characterisation%20of%20an%20emergent%20SARS-CoV-2%20lineage%20in%20Manaus%20Genomic%20Epidemiology%20-%20Virological.pdf. ; Faria, N. R. et al. Genomics and Epidemiology of the P.1 SARS-CoV-2 Lineage in Manaus, Brazil. Science 372, 815–21 (2021). ; du Plessis, L. et al. Establishment and lineage dynamics of the SARS-CoV-2 epidemic in the UK. Science 371, 708–712 (2021). (PMID: 3341993610.1126/science.abf2946) ; Danish Covid-19 Genome Consortium Genomic Overview of SARS-CoV-2 in Denmark (2021); https://www.covid19genomics.dk/statistics. ; Kraemer, M. U. G. et al. Spatiotemporal invasion dynamics of SARS-CoV-2 lineage B.1.1.7 emergence. Science 373, 889–895 (2021). (PMID: 3430185410.1126/science.abj0113) ; Park, S. W. et al Roles of generation-interval distributions in shaping relative epidemic strength, speed, and control of new SARS-CoV-2 variants. Preprint at medRxiv https://doi.org/10.1101/2021.05.03.21256545 (2021). ; Starr, T. N. et al. Deep mutational scanning of SARS-CoV-2 receptor binding domain reveals constraints on folding and ACE2 binding. Cell 182, 1295–1310 (2020). (PMID: 32841599741870410.1016/j.cell.2020.08.012) ; Zahradník, J., Marciano, S., Shemesh, M. et al. SARS-CoV-2 variant prediction and antiviral drug design are enabled by RBD in vitro evolution. Nat. Microbiol. 6, 1188–1198 (2021). ; Brown, J. C. et al. Increased transmission of SARS-CoV-2 lineage B.1.1.7 (VOC 2020212/01) is not accounted for by a replicative advantage in primary airway cells or antibody escape. Preprint at bioRxiv https://doi.org/10.1101/2021.02.24.432576 (2021). ; Vöhringer, H. et al. Lineage-specific Growth of SARS-CoV-2 B.1.1.7 During the English National Lockdown (Virological, 2020); https://virological.org/t/lineage-specific-growth-of-sars-cov-2-b-1-1-7-during-the-english-national-lockdown/575/2. ; The Health Protection (Coronavirus, Restrictions) (All Tiers) (England) Regulations 2020. Wikipedia https://en.wikipedia.org/w/index.php?title=The_Health_Protection_(Coronavirus,_Restrictions)_(All_Tiers)_(England)_Regulations_2020&oldid=1014831173 (2021). ; Steel, K. & Davies, B. Coronavirus (COVID-19) Infection Survey, Antibody and Vaccination Data for the UK (ONS, 2021); https://www.ons.gov.uk/peoplepopulationandcommunity/healthandsocialcare/conditionsanddiseases/articles/coronaviruscovid19infectionsurveyantibodydatafortheuk/28april2021. ; Greaney, A. J. et al. Comprehensive mapping of mutations in the SARS-CoV-2 receptor-binding domain that affect recognition by polyclonal human plasma antibodies. Cell Host & Microbe 29, 463-476 (2021). ; Greaney, A. J. et al. Complete mapping of mutations to the SARS-CoV-2 spike receptor-binding domain that escape antibody recognition. Cell Host Microbe 29, 44–57 (2021). (PMID: 33259788767631610.1016/j.chom.2020.11.007) ; Zhou, D. et al. Evidence of escape of SARS-CoV-2 variant B.1.351 from natural and vaccine-induced sera. Cell 184, 2348–2361 (2021). (PMID: 33730597790126910.1016/j.cell.2021.02.037) ; Planas, D. et al. Sensitivity of infectious SARS-CoV-2 B.1.1.7 and B.1.351 variants to neutralizing antibodies. Nat. Med. 27, 917–924 (2021). (PMID: 3377224410.1038/s41591-021-01318-5) ; Peacock, T. P. et al. The SARS-CoV-2 variants associated with infections in India, B.1.617, show enhanced spike cleavage by furin. Preprint at bioRxiv https://doi.org/10.1101/2021.05.28.446163 (2021). ; Campbell, F. et al. Increased transmissibility and global spread of SARS-CoV-2 variants of concern as at June 2021. Euro Surveill. 26, 2100509 (2021). (PMID: 821259210.2807/1560-7917.ES.2021.26.24.2100509) ; Investigation of Novel SARS-CoV-2 Variants of Concern Technical briefing 10 (Public Health England, 2021); https://www.gov.uk/government/publications/investigation-of-novel-sars-cov-2-variant-variant-of-concern-20201201. ; Li, B. et al. Viral infection and transmission in a large well-traced outbreak caused by the Delta SARS-CoV-2 variant. Preprint at medRxiv https://doi.org/10.1101/2021.07.07.21260122 (2021). ; Nasreen, S. et al. Effectiveness of COVID-19 vaccines against variants of concern in Ontario, Canada. Preprint at medRxiv https://doi.org/10.1101/2021.06.28.21259420 (2021). ; Lopez Bernal, J. et al. Effectiveness of Covid-19 vaccines against the B.1.617.2 (Delta) variant. N. Engl. J. Med. 385, 585–594 (2021). (PMID: 3428927410.1056/NEJMoa2108891) ; Investigation of Novel SARS-CoV-2 Variants of Concern Technical briefing 19 (Public Health England, 2021); https://assets.publishing.service.gov.uk/government/uploads/system/uploads/attachment_data/file/1005517/Technical_Briefing_19.pdf. ; Ferreira, I. et al. SARS-CoV-2 B.1.617 emergence and sensitivity to vaccine-elicited antibodies. Preprint at bioRxiv https://doi.org/10.1101/2021.05.08.443253 (2021). ; Wall, E. C. et al. Neutralising antibody activity against SARS-CoV-2 VOCs B.1.617.2 and B.1.351 by BNT162b2 vaccination. Lancet 397, 2331–2333 (2021). (PMID: 34090624817504410.1016/S0140-6736(21)01290-3) ; Steel, K. & Haughton, P. Coronavirus (COVID-19) Infection Survey, Antibody and Vaccination Data, UK (ONS, 2021); https://www.ons.gov.uk/peoplepopulationandcommunity/healthandsocialcare/conditionsanddiseases/bulletins/coronaviruscovid19infectionsurveyantibodyandvaccinationdatafortheuk/21july2021. ; Anderson, R. et al. Reproduction Number (R) and Growth Rate (r) of the COVID-19 Epidemic in the UK: Methods of Estimation, Data Sources, Causes of Heterogeneity, and use as a Guide in Policy Formulation (The Royal Society, 2020). ; Britton, T., Ball, F. & Trapman, P. A mathematical model reveals the influence of population heterogeneity on herd immunity to SARS-CoV-2. Science 369, 846–849 (2020). (PMID: 32576668733179310.1126/science.abc6810) ; Funk, S. et al. Combining serological and contact data to derive target immunity levels for achieving and maintaining measles elimination. BMC Med. 17, 180 (2019). (PMID: 31551070676010110.1186/s12916-019-1413-7) ; Hodgson, D., Flasche, S., Jit, M., Kucharski, A. J. & CMMID COVID-19 Working Group The potential for vaccination-induced herd immunity against the SARS-CoV-2 B.1.1.7 variant. Euro Surveill. 26, 2100428 (2021). (PMID: 813895910.2807/1560-7917.ES.2021.26.20.2100428) ; van Dorp, L., Houldcroft, C. J., Richard, D. & Balloux, F. COVID-19, the first pandemic in the post-genomic era. Curr. Opin. Virol. 50, 40–48 (2021). (PMID: 34352474827548110.1016/j.coviro.2021.07.002) ; The Health Protection (Coronavirus, Restrictions) (England) (No. 4) Regulations 2020. Wikipedia https://en.wikipedia.org/w/index.php?title=The_Health_Protection_(Coronavirus,_Restrictions)_(England)_(No._4)_Regulations_2020&oldid=1014701607 (2021). ; Bi, Q. et al. Epidemiology and transmission of COVID-19 in 391 cases and 1286 of their close contacts in Shenzhen, China: a retrospective cohort study. Lancet Infect. Dis. 20, 911–919 (2020). (PMID: 32353347718594410.1016/S1473-3099(20)30287-5) ; Wallinga, J. & Lipsitch, M. How generation intervals shape the relationship between growth rates and reproductive numbers. Proc. Biol. Sci. 274, 599–604 (2007). (PMID: 17476782) ; Cori, A., Ferguson, N. M., Fraser, C. & Cauchemez, S. A new framework and software to estimate time-varying reproduction numbers during epidemics. Am. J. Epidemiol. 178, 1505–1512 (2013). (PMID: 2404343710.1093/aje/kwt133) ; Bingham, E. et al. Pyro: deep universal probabilistic programming. Preprint at http://arxiv.org/abs/1810.09538 (2018). ; Phan, D., Pradhan, N. & Jankowiak, M. Composable effects for flexible and accelerated probabilistic programming in NumPyro. Preprint at http://arxiv.org/abs/1912.11554 (2019). ; Hoffman, M. D., Blei, D. M., Wang, C. & Paisley, J. Stochastic variational inference. J. Mach. Learn. Res. 14, 1303–1347 (2013). ; Price, M. N., Dehal, P. S. & Arkin, A. P. FastTree 2—approximately maximum-likelihood trees for large alignments. PLoS ONE 5, e9490 (2010). (PMID: 20224823283573610.1371/journal.pone.0009490) ; Tavaré, S. Some probabilistic and statistical problems in the analysis of DNA sequences. Lect. Math. Life Sci. 17, 57–86 (1986). ; Lemey, P., Rambaut, A., Drummond, A. J. & Suchard, M. A. Bayesian phylogeography finds its roots. PLoS Comput. Biol. 5, e1000520 (2009). (PMID: 19779555274083510.1371/journal.pcbi.1000520) ; De Maio, N., Wu, C.-H., O’Reilly, K. M. & Wilson, D. New routes to phylogeography: a bayesian structured coalescent approximation. PLoS Genet. 11, e1005421 (2015). (PMID: 26267488453446510.1371/journal.pgen.1005421) ; Turakhia, Y. et al. Ultrafast Sample placement on Existing tRees (UShER) enables real-time phylogenetics for the SARS-CoV-2 pandemic. Nat. Genet. 53, 809–816 (2021). (PMID: 3397278010.1038/s41588-021-00862-7) ; Sagulenko, P., Puller, V. & Neher, R. A. TreeTime: maximum-likelihood phylodynamic analysis. Virus Evol. 4, vex042 (2018). (PMID: 29340210575892010.1093/ve/vex042) ; Gill, M. S. et al. Improving Bayesian population dynamics inference: a coalescent-based model for multiple loci. Mol. Biol. Evol. 30, 713–724 (2013). (PMID: 2318058010.1093/molbev/mss265) ; Sherratt, K. et al. Exploring surveillance data biases when estimating the reproduction number: with insights into subpopulation transmission of COVID-19 in England. Philos. Trans. Royal Soc. B 376 https://doi.org/10.1098/RSTB.2020.0283 (2021). ; Abbott, S. et al. Estimating the time-varying reproduction number of SARS-CoV-2 using national and subnational case counts. Wellcome Open Res. 5, 112 (2020). (PMID: 10.12688/wellcomeopenres.16006.1) ; Hellewell, J. et al. Estimating the effectiveness of routine asymptomatic PCR testing at different frequencies for the detection of SARS-CoV-2 infections. BMC Med. 19, 106 (2021). (PMID: 33902581807571810.1186/s12916-021-01982-x) ; Hart, W. S. et al. Inference of SARS-CoV-2 generation times using UK household data. Preprint at medRxiv https://doi.org/10.1101/2021.05.27.21257936 (2021). ; Pouwels, K. B. et al. Community prevalence of SARS-CoV-2 in England from April to November, 2020: results from the ONS Coronavirus Infection Survey. Lancet Publ. Health 6, e30–e38 (2021). (PMID: 10.1016/S2468-2667(20)30282-6) ; Donnarumma, K. S. Coronavirus (COVID-19) Infection Survey, UK (ONS, 2021); https://www.ons.gov.uk/peoplepopulationandcommunity/healthandsocialcare/conditionsanddiseases/bulletins/coronaviruscovid19infectionsurveypilot/23april2021.
  • Grant Information: MC_PC_19012 United Kingdom MRC_ Medical Research Council; MC_UU_12014/12 United Kingdom MRC_ Medical Research Council; MC_PC_19026 United Kingdom MRC_ Medical Research Council; 21777 United Kingdom CRUK_ Cancer Research UK; 210758/Z/18/Z United Kingdom WT_ Wellcome Trust; MC_PC_19027 United Kingdom MRC_ Medical Research Council; 204911/Z/16/Z United Kingdom WT_ Wellcome Trust; 220885/Z/20/Z United Kingdom WT_ Wellcome Trust; United Kingdom WT_ Wellcome Trust; 210818/Z/18/Z United Kingdom WT_ Wellcome Trust; MR/R015600/1 United Kingdom MRC_ Medical Research Council
  • Contributed Indexing: Investigator: I Abnizova; L Aigrain; A Alderton; M Ali; L Allen; R Amato; R Anderson; C Ariani; S Austin-Guest; S Bala; J Barrett; A Bassett; K Battleday; J Beal; M Beale; C Beaver; S Bellany; T Bellerby; K Bellis; D Berger; M Berriman; E Betteridge; P Bevan; S Binley; J Bishop; K Blackburn; J Bonfield; N Boughton; S Bowker; T Brendler-Spaeth; I Bronner; T Brooklyn; SK Buddenborg; R Bush; C Caetano; A Cagan; N Carter; J Cartwright; TC Monteiro; L Chapman; TJ Chillingworth; P Clapham; R Clark; A Clarke; C Clarke; D Cole; E Cook; M Coppola; L Cornell; C Cornwell; C Corton; A Crackett; A Cranage; H Craven; S Craw; M Crawford; T Cutts; M Dabrowska; M Davies; R Davies; J Dawson; C Day; A Densem; T Dibling; C Dockree; D Dodd; S Dogga; M Dorman; G Dougan; M Dougherty; A Dove; L Drummond; E Drury; M Dudek; J Durham; L Durrant; E Easthope; S Eckert; P Ellis; B Farr; M Fenton; M Ferrero; N Flack; H Fordham; G Forsythe; L Foulser; M Francis; A Fraser; A Freeman; A Galvin; M Garcia-Casado; A Gedny; S Girgis; J Glover; S Goncalves; S Goodwin; O Gould; M Gourtovaia; A Gray; E Gray; C Griffiths; Y Gu; F Guerin; W Hamilton; H Hanks; E Harrison; A Harrott; E Harry; J Harvison; P Heath; A Hernandez-Koutoucheva; R Hobbs; D Holland; S Holmes; G Hornett; N Hough; L Huckle; L Hughes-Hallet; A Hunter; S Inglis; S Iqbal; A Jackson; D Jackson; K James; D Jamrozy; CJ Verdejo; M Jones; K Kallepally; L Kane; K Kay; S Kay; J Keatley; A Keith; A King; L Kitchin; M Kleanthous; M Klimekova; P Korlevic; K Krasheninnkova; G Lane; C Langford; A Laverack; K Law; M Lawniczak; S Lensing; S Leonard; L Letchford; K Lewis; A Lewis-Wade; J Liddle; Q Lin; S Lindsay; S Linsdell; R Livett; S Lo; R Long; J Lovell; J Lovell; C Ludden; J Mack; M Maddison; A Makunin; I Mamun; J Mansfield; N Marriott; M Martin; M Mayho; S McCarthy; J McClintock; S McGuigan; S McHugh; L McMinn; C Meadows; E Mobley; R Moll; M Morra; L Morrow; K Murie; S Nash; C Nathwani; P Naydenova; A Neaverson; R Nelson; E Nerou; J Nicholson; T Nimz; GG Noell; S O'Meara; V Ohan; K Oliver; C Olney; D Ormond; A Oszlanczi; S Palmer; YF Pang; B Pardubska; N Park; A Parmar; G Patel; M Patel; M Payne; S Peacock; A Petersen; D Plowman; T Preston; L Prestwood; C Puethe; M Quail; D Rajan; S Rajatileka; R Rance; S Rawlings; N Redshaw; J Reynolds; M Reynolds; S Rice; M Richardson; C Roberts; K Robinson; M Robinson; D Robinson; H Rogers; EM Rojo; D Roopra; M Rose; L Rudd; R Sadri; N Salmon; D Saul; F Schwach; C Scott; P Seekings; L Shirley; A Simms; M Sinnott; S Sivadasan; B Siwek; D Sizer; K Skeldon; J Skelton; J Slater-Tunstill; L Sloper; N Smerdon; C Smith; C Smith; J Smith; K Smith; M Smith; S Smith; T Smith; L Sneade; CD Soria; C Sousa; E Souster; A Sparkes; M Spencer-Chapman; J Squares; R Stanley; C Steed; T Stickland; I Still; MR Stratton; M Strickland; A Swann; A Swiatkowska; N Sycamore; E Swift; E Symons; S Szluha; E Taluy; N Tao; K Taylor; S Taylor; S Thompson; M Thompson; M Thomson; N Thomson; S Thurston; G Tonkin-Hill; D Toombs; B Topping; J Tovar-Corona; D Ungureanu; J Uphill; J Urbanova; PJ Van Vuuren; V Vancollie; P Voak; D Walker; M Walker; M Waller; G Ward; C Weatherhogg; N Webb; D Weldon; A Wells; E Wells; L Westwood; T Whipp; T Whiteley; G Whitton; A Whitwham; S Widaa; M Williams; M Wilson; S Wright; SC Robson; TR Connor; NJ Loman; T Golubchik; RT Martinez Nunez; D Bonsall; A Rambaut; LB Snell; C Ludden; S Corden; E Nastouli; G Nebbia; K Lythgoe; ME Torok; IG Goodfellow; JA Prieto; K Saeed; C Houlihan; D Frampton; WL Hamilton; AA Witney; G Bucca; CF Pope; C Moore; EC Thomson; EM Harrison; CP Smith; F Rogan; SM Beckwith; A Murray; D Singleton; K Eastick; LA Sheridan; P Randell; LM Jackson; S Gonçalves; DJ Fairley; MW Loose; J Watkins; S Moses; S Nicholls; M Bull; DL Smith; DM Aanensen; D Aggarwal; JG Shepherd; MD Curran; S Parmar; MD Parker; C Williams; S Glaysher; AP Underwood; M Bashton; N Pacchiarini; KF Loveson; M Byott; AM Carabelli; KE Templeton; TI de Silva; D Wang; CF Langford; RN Gunson; S Cottrell; J O'Grady; D Kwiatkowski; PJ Lillie; N Cortes; N Moore; C Thomas; PJ Burns; TW Mahungu; S Liggett; AH Beckett; MTG Holden; LJ Levett; H Osman; MO Hassan-Ibrahim; DA Simpson; M Chand; RK Gupta; AC Darby; S Paterson; OG Pybus; E Volz; D de Angelis; DL Robertson; AJ Page; AR Bassett; N Wong; Y Taha; MJ Erkiert; MH Spencer Chapman; R Dewar; MP McHugh; S Mookerjee; S Aplin; M Harvey; T Sass; H Umpleby; H Wheeler; JP McKenna; B Warne; JF Taylor; Y Chaudhry; R Izuagbe; AS Jahun; GR Young; C McMurray; CM McCann; A Nelson; S Elliott; H Lowe; A Price; MR Crown; S Rey; S Roy; B Temperton; S Shaaban; AR Hesketh; KG Laing; IM Monahan; J Heaney; E Pelosi; S Silviera; E Wilson-Davies; H Fryer; H Adams; L du Plessis; R Johnson; WT Harvey; J Hughes; RJ Orton; LG Spurgin; Y Bourgeois; C Ruis; Á O'Toole; T Sanderson; C Fraser; J Edgeworth; J Breuer; SL Michell; JA Todd; M John; D Buck; K Gajee; GL Kay; SJ Peacock; D Heyburn; K Kitchman; A McNally; DT Pritchard; S Dervisevic; P Muir; E Robinson; BB Vipond; NA Ramadan; C Jeanes; J Catalan; N Jones; A da Silva Filipe; C Williams; M Fuchs; J Miskelly; AR Jeffries; NR Park; A Ash; C Koshy; M Barrow; SL Buchan; A Mantzouratou; G Clark; CW Holmes; S Campbell; T Davis; NK Tan; JR Brown; KA Harris; SP Kidd; PR Grant; L Xu-McCrae; A Cox; P Madona; M Pond; PA Randell; KT Withell; C Williams; C Graham; R Denton-Smith; E Swindells; R Turnbull; TJ Sloan; A Bosworth; S Hutchings; HM Pymont; A Casey; L Ratcliffe; CR Jones; BA Knight; T Haque; J Hart; D Irish-Tavares; E Witele; C Mower; LK Watson; J Collins; G Eltringham; D Crudgington; B Macklin; M Iturriza-Gomara; AO Lucaci; PC McClure; M Carlile; N Holmes; C Moore; N Storey; S Rooke; G Yebra; N Craine; M Perry; NF Alikhan; S Bridgett; KF Cook; C Fearn; S Goudarzi; RA Lyons; T Williams; ST Haldenby; RM Davies; R Batra; B Blane; MJ Spyer; P Smith; M Yavus; RJ Williams; AIK Mahanama; B Samaraweera; ST Girgis; SE Hansford; A Green; KL Bellis; MJ Dorman; J Quick; R Poplawski; N Reynolds; A Mack; A Morriss; T Whalley; B Patel; I Georgana; M Hosmillo; ML Pinckert; J Stockton; JH Henderson; A Hollis; W Stanley; WC Yew; R Myers; A Thornton; A Adams; T Annett; H Asad; A Birchley; J Coombes; JM Evans; L Fina; B Gatica-Wilcox; L Gilbert; L Graham; J Hey; E Hilvers; S Jones; H Jones; S Kumziene-Summerhayes; C McKerr; J Powell; G Pugh; S Taylor; AJ Trotter; CA Williams; LM Kermack; BH Foulkes; M Gallis; HR Hornsby; SF Louka; M Pohare; P Wolverson; P Zhang; G MacIntyre-Cockett; A Trebes; RJ Moll; L Ferguson; EJ Goldstein; A Maclean; R Tomb; I Starinskij; L Thomson; J Southgate; MUG Kraemer; J Raghwani; AE Zarebski; O Boyd; L Geidelberg; CJ Illingworth; C Jackson; D Pascall; S Vattipally; TM Freeman; SN Hsu; BB Lindsey; JM Tovar-Corona; M Cox; K Abudahab; M Menegazzo; BEW Taylor; CA Yeats; A Mukaddas; DW Wright; L de Oliveira Martins; R Colquhoun; V Hill; B Jackson; JT McCrone; N Medd; E Scher; JP Keatley; T Curran; S Morgan; P Maxwell; K Smith; S Eldirdiri; A Kenyon; AH Holmes; JR Price; T Wyatt; AE Mather; T Skvortsov; JA Hartley; M Guest; C Kitchen; I Merrick; R Munn; B Bertolusso; J Lynch; G Vernet; S Kirk; E Wastnedge; R Stanley; G Idle; DT Bradley; J Poyner; M Mori; O Jones; V Wright; E Brooks; CM Churcher; M Fragakis; K Galai; A Jermy; S Judges; GM McManus; KS Smith; E Westwick; SW Attwood; F Bolt; A Davies; E De Lacy; F Downing; S Edwards; L Meadows; S Jeremiah; N Smith; T Charalampous; A Patel; L Berry; T Boswell; VM Fleming; HC Howson-Wells; A Joseph; M Khakh; MM Lister; PW Bird; K Fallon; T Helmer; CL McMurray; M Odedra; J Shaw; JW Tang; NJ Willford; V Blakey; V Raviprakash; N Sheriff; LA Williams; T Feltwell; L Bedford; JS Cargill; W Hughes; J Moore; S Stonehouse; L Atkinson; JCD Lee; D Shah; A Alcolea; N Ohemeng-Kumi; J Ramble; J Sehmi; R Williams; W Chatterton; M Pusok; W Everson; A Castigador; E Macnaughton; K El Bouzidi; T Lampejo; M Sudhanva; C Breen; G Sluga; SSY Ahmad; RP George; NW Machin; D Binns; V James; R Blacow; L Coupland; L Smith; E Barton; D Padgett; G Scott; A Cross; M Mirfenderesky; J Greenaway; K Cole; P Clarke; N Duckworth; S Walsh; K Bicknell; R Impey; S Wyllie; R Hopes; C Bishop; V Chalker; L Gifford; Z Molnar; C Auckland; C Evans; K Johnson; DG Partridge; M Raza; P Baker; S Bonner; S Essex; LJ Murray; AI Lawton; S Burton-Fanning; BAI Payne; S Waugh; AN Gomes; M Kimuli; DR Murray; P Ashfield; D Dobie; F Ashford; A Best; L Crawford; N Cumley; M Mayhew; O Megram; J Mirza; E Moles-Garcia; B Percival; L Ensell; HL Lowe; L Maftei; M Mondani; NJ Chaloner; BJ Cogger; LJ Easton; H Huckson; J Lewis; S Lowdon; CS Malone; F Munemo; M Mutingwende; R Nicodemi; O Podplomyk; T Somassa; A Beggs; A Richter; C Cormie; J Dias; S Forrest; EE Higginson; M Maes; J Young; RK Davidson; KA Jackson; L Turtle; AJ Keeley; J Ball; T Byaruhanga; JG Chappell; J Dey; JD Hill; EJ Park; A Fanaie; RA Hilson; G Yaze; S Afifi; R Beer; J Maksimovic; KM Masters; K Spellman; C Bresner; W Fuller; A Marchbank; T Workman; E Shelest; J Debebe; F Sang; ME Zamudio; S Francois; B Gutierrez; TI Vasylyeva; F Flaviani; M Ragonnet-Cronin; KL Smollett; A Broos; D Mair; J Nichols; K Nomikou; L Tong; I Tsatsani; S O'Brien; S Rushton; R Sanderson; J Perkins; S Cotton; A Gallagher; E Allara; C Pearson; D Bibby; G Dabrera; N Ellaby; E Gallagher; J Hubb; A Lackenby; D Lee; N Manesis; T Mbisa; S Platt; KA Twohig; M Morgan; A Aydin; DJ Baker; E Foster-Nyarko; SJ Prosolek; S Rudder; C Baxter; SF Carvalho; D Lavin; A Mariappan; C Radulescu; A Singh; M Tang; H Morcrette; N Bayzid; M Cotic; CE Balcazar; MD Gallagher; D Maloney; TD Stanton; KA Williamson; R Manley; ML Michelsen; CM Sambles; DJ Studholme; J Warwick-Dugdale; R Eccles; M Gemmell; R Gregory; M Hughes; C Nelson; L Rainbow; EE Vamos; HJ Webster; M Whitehead; C Wierzbicki; A Angyal; LR Green; M Whiteley; IF Bronner; BW Farr; SV Lensing; SA McCarthy; MA Quail; NM Redshaw; SAJ Thurston; W Rowe; A Gaskin; T Le-Viet; J Liddle
  • Substance Nomenclature: 0 (Spike Glycoprotein, Coronavirus)
  • SCR Organism: SARS-CoV-2 variants
  • Entry Date(s): Date Created: 20211014 Date Completed: 20220111 Latest Revision: 20240214
  • Update Code: 20240214
  • PubMed Central ID: PMC8674138

Klicken Sie ein Format an und speichern Sie dann die Daten oder geben Sie eine Empfänger-Adresse ein und lassen Sie sich per Email zusenden.

oder
oder

Wählen Sie das für Sie passende Zitationsformat und kopieren Sie es dann in die Zwischenablage, lassen es sich per Mail zusenden oder speichern es als PDF-Datei.

oder
oder

Bitte prüfen Sie, ob die Zitation formal korrekt ist, bevor Sie sie in einer Arbeit verwenden. Benutzen Sie gegebenenfalls den "Exportieren"-Dialog, wenn Sie ein Literaturverwaltungsprogramm verwenden und die Zitat-Angaben selbst formatieren wollen.

xs 0 - 576
sm 576 - 768
md 768 - 992
lg 992 - 1200
xl 1200 - 1366
xxl 1366 -