Genomic Diversity of SARS-CoV-2 During Early Introduction into the United States National Capital Region.


Journal

medRxiv : the preprint server for health sciences
Titre abrégé: medRxiv
Pays: United States
ID NLM: 101767986

Informations de publication

Date de publication:
23 Aug 2020
Historique:
pubmed: 21 8 2020
medline: 21 8 2020
entrez: 21 8 2020
Statut: epublish

Résumé

The early COVID-19 pandemic has been characterized by rapid global spread. In the United States National Capital Region, over 2,000 cases were reported within three weeks of its first detection in March 2020. We aimed to use genomic sequencing to understand the initial spread of SARS-CoV-2, the virus that causes COVID-19, in the region. By correlating genetic information to disease phenotype, we also aimed to gain insight into any correlation between viral genotype and case severity or transmissibility. We performed whole genome sequencing of clinical SARS-CoV-2 samples collected in March 2020 by the Johns Hopkins Health System. We analyzed these regional SARS-CoV-2 genomes alongside detailed clinical metadata and the global phylogeny to understand early establishment of the virus within the region. We analyzed 620 samples from the Johns Hopkins Health System collected between March 11-31, 2020, comprising 37.3% of the total cases in Maryland during this period. We selected 143 of these samples for sequencing, generating 114 complete viral genomes. These genomes belong to all five major Nextstrain-defined clades, suggesting multiple introductions into the region and underscoring the diversity of the regional epidemic. We also found that clinically severe cases had genomes belonging to all of these clades. We established a pipeline for SARS-CoV-2 sequencing within the Johns Hopkins Health system, which enabled us to capture the significant viral diversity present in the region as early as March 2020. Efforts to control local spread of the virus were likely confounded by the number of introductions into the region early in the epidemic and interconnectedness of the region as a whole.

Sections du résumé

BACKGROUND BACKGROUND
The early COVID-19 pandemic has been characterized by rapid global spread. In the United States National Capital Region, over 2,000 cases were reported within three weeks of its first detection in March 2020. We aimed to use genomic sequencing to understand the initial spread of SARS-CoV-2, the virus that causes COVID-19, in the region. By correlating genetic information to disease phenotype, we also aimed to gain insight into any correlation between viral genotype and case severity or transmissibility.
METHODS METHODS
We performed whole genome sequencing of clinical SARS-CoV-2 samples collected in March 2020 by the Johns Hopkins Health System. We analyzed these regional SARS-CoV-2 genomes alongside detailed clinical metadata and the global phylogeny to understand early establishment of the virus within the region.
RESULTS RESULTS
We analyzed 620 samples from the Johns Hopkins Health System collected between March 11-31, 2020, comprising 37.3% of the total cases in Maryland during this period. We selected 143 of these samples for sequencing, generating 114 complete viral genomes. These genomes belong to all five major Nextstrain-defined clades, suggesting multiple introductions into the region and underscoring the diversity of the regional epidemic. We also found that clinically severe cases had genomes belonging to all of these clades.
CONCLUSIONS CONCLUSIONS
We established a pipeline for SARS-CoV-2 sequencing within the Johns Hopkins Health system, which enabled us to capture the significant viral diversity present in the region as early as March 2020. Efforts to control local spread of the virus were likely confounded by the number of introductions into the region early in the epidemic and interconnectedness of the region as a whole.

Identifiants

pubmed: 32817965
doi: 10.1101/2020.08.13.20174136
pmc: PMC7430609
pii:
doi:

Types de publication

Preprint

Langues

eng

Subventions

Organisme : NIAID NIH HHS
ID : R01 AI134384
Pays : United States
Organisme : NHGRI NIH HHS
ID : U41 HG006620
Pays : United States

Commentaires et corrections

Type : UpdateIn

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Auteurs

Peter M Thielen (PM)

Johns Hopkins University Applied Physics Laboratory, Laurel, Maryland 20723.

Shirlee Wohl (S)

Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland 21205.

Thomas Mehoke (T)

Johns Hopkins University Applied Physics Laboratory, Laurel, Maryland 20723.

Srividya Ramakrishnan (S)

Johns Hopkins University Department of Computer Science, Baltimore, Maryland 21218.

Melanie Kirsche (M)

Johns Hopkins University Department of Computer Science, Baltimore, Maryland 21218.

Oluwaseun Falade-Nwulia (O)

Johns Hopkins University School of Medicine, Department of Medicine, Division of Infectious Disease, Baltimore, Maryland 21205.

Nídia S Trovão (NS)

National Institutes of Health, Fogarty International Center, Bethesda, Maryland 20892.

Amanda Ernlund (A)

Johns Hopkins University Applied Physics Laboratory, Laurel, Maryland 20723.

Craig Howser (C)

Johns Hopkins University Applied Physics Laboratory, Laurel, Maryland 20723.

Norah Sadowski (N)

Johns Hopkins University Department of Emergency Medicine, Baltimore, Maryland 21205.

Paul Morris (P)

Johns Hopkins University School of Medicine, Department of Pathology, Division of Medical Microbiology, Baltimore, Maryland 21205.

Mark Hopkins (M)

Johns Hopkins University School of Medicine, Department of Pathology, Division of Medical Microbiology, Baltimore, Maryland 21205.

Matthew Schwartz (M)

Johns Hopkins University School of Medicine, Department of Pathology, Division of Medical Microbiology, Baltimore, Maryland 21205.

Yunfan Fan (Y)

Johns Hopkins University Departments of Biomedical Engineering and Molecular Biology and Genetics, Baltimore, Maryland 21205.

Victoria Gniazdowski (V)

Johns Hopkins University School of Medicine, Department of Pathology, Division of Medical Microbiology, Baltimore, Maryland 21205.

Justin Lessler (J)

Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland 21205.

Lauren Sauer (L)

Johns Hopkins University School of Medicine, Department of Medicine, Division of Infectious Disease, Baltimore, Maryland 21205.
Johns Hopkins University Department of Emergency Medicine, Baltimore, Maryland 21205.

Michael C Schatz (MC)

Johns Hopkins University Department of Computer Science, Baltimore, Maryland 21218.

Jared D Evans (JD)

Johns Hopkins University Applied Physics Laboratory, Laurel, Maryland 20723.

Stuart C Ray (SC)

Johns Hopkins University School of Medicine, Department of Medicine, Division of Infectious Disease, Baltimore, Maryland 21205.

Winston Timp (W)

Johns Hopkins University School of Medicine, Department of Medicine, Division of Infectious Disease, Baltimore, Maryland 21205.
Johns Hopkins University Departments of Biomedical Engineering and Molecular Biology and Genetics, Baltimore, Maryland 21205.

Heba H Mostafa (HH)

Johns Hopkins University School of Medicine, Department of Pathology, Division of Medical Microbiology, Baltimore, Maryland 21205.

Classifications MeSH