期刊论文详细信息
eLife
Patterns of within-host genetic diversity in SARS-CoV-2
M Estee Torok1  William L Hamilton1  Sarah L Caddy1  Charlotte J Houldcroft1  Fahad A Khokhar2  Iliana Georgana3  Myra Hosmillo3  Malte L Pinckert3  Ian G Goodfellow3  Anna Yakovleva3  Theresa Feltwell3  Luke W Meredith3  Laura G Caller3  Aminu S Jahun3  Yasmin Chaudhry3  Grant Hall3  Moritz Gerstrung4  Martin D Curran5  Surendra Parmar5  Sonia Gonçalves6  Naomi Park6  Andrew RJ Lawson6  Michael A Quail6  Cristina Ariani6  Roberto Amato6  Ian Johnston6  Michael Spencer Chapman6  Gerry Tonkin-Hill6  Rachel Nelson6  Inigo Martincorena6  Jeffrey C Barrett6  David K Jackson6  Stefanie V Lensing6  John Sillitoe6  Cordelia Langford6  Alex Alderton6  Stephen D Bentley6  Ewan M Harrison7  Dominic P Kwiatowski8 
[1]Department of Medicine, University of Cambridge, Cambridge, United Kingdom
[2]Department of Medicine, University of Cambridge, Cambridge, United Kingdom
[3]Cambridge Institute of Therapeutic Immunology and Infectious Disease, University of Cambridge, Cambridge, United Kingdom
[4]Department of Pathology, University of Cambridge, Cambridge, United Kingdom
[5]European Bioinformatics Institute, Hinxton, United Kingdom
[6]Public Health England, Cambridge, United Kingdom
[7]Wellcome Sanger Institute, Hinxton, United Kingdom
[8]Wellcome Sanger Institute, Hinxton, United Kingdom
[9]European Bioinformatics Institute, Hinxton, United Kingdom
[10]Wellcome Sanger Institute, Hinxton, United Kingdom
[11]Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom
关键词: SARS-CoV-2;    within-host;    mutational spectrum;    transmission;    Other;   
DOI  :  10.7554/eLife.66857
来源: eLife Sciences Publications, Ltd
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【 摘 要 】
Monitoring the spread of SARS-CoV-2 and reconstructing transmission chains has become a major public health focus for many governments around the world. The modest mutation rate and rapid transmission of SARS-CoV-2 prevents the reconstruction of transmission chains from consensus genome sequences, but within-host genetic diversity could theoretically help identify close contacts. Here we describe the patterns of within-host diversity in 1181 SARS-CoV-2 samples sequenced to high depth in duplicate. 95.1% of samples show within-host mutations at detectable allele frequencies. Analyses of the mutational spectra revealed strong strand asymmetries suggestive of damage or RNA editing of the plus strand, rather than replication errors, dominating the accumulation of mutations during the SARS-CoV-2 pandemic. Within- and between-host diversity show strong purifying selection, particularly against nonsense mutations. Recurrent within-host mutations, many of which coincide with known phylogenetic homoplasies, display a spectrum and patterns of purifying selection more suggestive of mutational hotspots than recombination or convergent evolution. While allele frequencies suggest that most samples result from infection by a single lineage, we identify multiple putative examples of co-infection. Integrating these results into an epidemiological inference framework, we find that while sharing of within-host variants between samples could help the reconstruction of transmission chains, mutational hotspots and rare cases of superinfection can confound these analyses.
【 授权许可】

CC BY   

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