| Literature DB >> 33007476 |
Susanne Pfefferle1, Thomas Günther2, Robin Kobbe3, Manja Czech-Sioli1, Dominic Nörz1, René Santer3, Jun Oh3, Stefan Kluge4, Lisa Oestereich5, Kersten Peldschus6, Daniela Indenbirken2, Jiabin Huang1, Adam Grundhoff2, Martin Aepfelbacher7, Johannes K Knobloch8, Marc Lütgehetmann9, Nicole Fischer10.
Abstract
OBJECTIVES: Investigation whether in depth characterization of virus variant patterns can be used for epidemiological analysis of the first SARS-CoV-2 infection clusters in Hamburg, Germany.Entities:
Keywords: SARS-CoV-2 infection cluster; viral genomics; viral variants
Year: 2020 PMID: 33007476 PMCID: PMC7524521 DOI: 10.1016/j.cmi.2020.09.034
Source DB: PubMed Journal: Clin Microbiol Infect ISSN: 1198-743X Impact factor: 8.067
Fig. 1(a) Clustering of viral variants of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) sequences recovered from the index patient, patient 1, patient 2 and 19 SARS-CoV-2 sequences from respiratory swabs collected in the same time period in comparison to the reference sequence, NC_045,521. Nucleotide positions are indicated at the bottom. Only variants with sufficient coverage (>10) and single nucleotide polymorphism (SNP) present in more than 33% of all reads in at least one sample are included. I–III summarizes sequence patterns as defined by SNPs. The frequency of variants is indicated by the heat map ranging from grey (reference), yellow to dark blue (variant). The quality score per individual site is indicated at the top. ∗ indicates members within one family. Sampling dates are indicated on the right with the sampling date of the cases in the index cluster labelled in red. (b) Overview of individual SNPs defining pattern I, II (II.1-II.4) and III with sequence variation in comparison to the reference sequence.