SARS-CoV-2 Genomic Diversity in Households Highlights the Challenges of Sequence-Based Transmission Inference.
SARS-CoV-2 Genomic Diversity in Households Highlights the Challenges of Sequence-Based Transmission Inference.
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The reliability of sequence-based inference of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) transmission is not clear. Sequence data from infections among household members can define the expected genomic diversity of a virus along a defined transmission chain. SARS-CoV-2 cases were identified prospectively among 2,369 participants in 706 households. Specimens with a reverse transcription-PCR cycle threshold of ≤30 underwent whole-genome sequencing. Intrahost single-nucleotide variants (iSNV) were identified at a ≥5% frequency. Phylogenetic trees were used to evaluate the relationship of household and community sequences. There were 178 SARS-CoV-2 cases in 706 households. Among 147 specimens sequenced, 106 yielded a whole-genome consensus with coverage suitable for identifying iSNV. Twenty-six households had sequences from multiple cases within 14 days. Consensus sequences were indistinguishable among cases in 15 households, while 11 had ≥1 consensus sequence that differed by 1 to 2 mutations. Sequences from households and the community were often interspersed on phylogenetic trees. Identification of iSNV improved inference in 2 of 15 households with indistinguishable consensus sequences and in 6 of 11 with distinct ones. In multiple-infection households, whole-genome consensus sequences differed by 0 to 1 mutations. Identification of shared iSNV occasionally resolved linkage, but the low genomic diversity of SARS-CoV-2 limits the utility of “sequence-only” transmission inference. IMPORTANCE We performed whole-genome sequencing of SARS-CoV-2 from prospectively identified cases in three longitudinal household cohorts. In a majority of multi-infection households, SARS-CoV-2 consensus sequences were indistinguishable, and they differed by 1 to 2 mutations in the rest. Importantly, even with modest genomic surveillance of the community (3 to 5% of cases sequenced), it was not uncommon to find community sequences interspersed with household sequences on phylogenetic trees. Identification of shared minority variants only occasionally resolved these ambiguities in transmission linkage. Overall, the low genomic diversity of SARS-CoV-2 limits the utility of “sequence-only” transmission inference. Our work highlights the need to carefully consider both epidemiologic linkage and sequence data to define transmission chains in households, hospitals, and other transmission settings.
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DOI:
10.1093/cid/ciab281
发表时间:
2021-09-15
期刊:
Clinical infectious diseases : an official publication of the Infectious Diseases Society of America
影响因子:
--
作者:
Braun KM;Moreno GK;Buys A;Somsen ED;Bobholz M;Accola MA;Anderson L;Rehrauer WM;Baker DA;Safdar N;Lepak AJ;O'Connor DH;Friedrich TC
通讯作者:
Friedrich TC
影响因子:
15.9
作者:
Kao RR;Haydon DT;Lycett SJ;Murcia PR
通讯作者:
Murcia PR
影响因子:
9.4
作者:
Addetia A;Crawford KHD;Dingens A;Zhu H;Roychoudhury P;Huang ML;Jerome KR;Bloom JD;Greninger AL
通讯作者:
Greninger AL
影响因子:
16.6
作者:
Aggarwal D;Warne B;Jahun AS;Hamilton WL;Fieldman T;du Plessis L;Hill V;Blane B;Watkins E;Wright E;Hall G;Ludden C;Myers R;Hosmillo M;Chaudhry Y;Pinckert ML;Georgana I;Izuagbe R;Leek D;Nsonwu O;Hughes GJ;Packer S;Page AJ;Metaxaki M;Fuller S;Weale G;Holgate J;Brown CA;Cambridge Covid-19 testing Centre;University of Cambridge Asymptomatic COVID-19 Screening Programme Consortium;COVID-19 Genomics UK (COG-UK) Consortium;Howes R;McFarlane D;Dougan G;Pybus OG;Angelis D;Maxwell PH;Peacock SJ;Weekes MP;Illingworth C;Harrison EM;Matheson NJ;Goodfellow IG
通讯作者:
Goodfellow IG
影响因子:
16.6
作者:
Lindsey BB;Villabona-Arenas CJ;Campbell F;Keeley AJ;Parker MD;Shah DR;Parsons H;Zhang P;Kakkar N;Gallis M;Foulkes BH;Wolverson P;Louka SF;Christou S;State A;Johnson K;Raza M;Hsu S;Jombart T;Cori A;Sheffield COVID-19 Genomics Group;COVID-19 Genomics UK (COG-UK) consortium;CMMID COVID-19 working group;Evans CM;Partridge DG;Atkins KE;Hué S;de Silva TI
通讯作者:
de Silva TI