About: Mutational dynamics and transmission properties of SARS-CoV-2 superspreading events in Austria

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About: Mutational dynamics and transmission properties of SARS-CoV-2 superspreading events in Austria Goto Sponge NotDistinct Permalink

An Entity of Type : schema:ScholarlyArticle, within Data Space : covidontheweb.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Mutational dynamics and transmission properties of SARS-CoV-2 superspreading events in Austria
Creator	Puchhammer-Stöckl, Elisabeth Allerberger, Franz Agerer, Benedikt Bergthaler, Andreas Genger, Jakob-Wendelin Lercher, Alexander Superti-Furga, Giulio Affiliations, Borena, Wegene Popa, Alexandra Aberle, Judith Aberle, Stephan Karolyi, Mario Martinez, Francisco Pawelka, Erich Schmid, Daniela Schuster, Michael Smyth, Mark Zoufaly, Alexander Redlberger-Fritz, Monika Bock, Christoph Borkovec, Martin Colaço, Henrique Endler, Lukas Grau, Miguel Hufnagl, Peter Keszei, Zsofia Laer, Laine, Jan Lopez-Bigas, Nuria Maritschnik, Sabine Michor, Franziska Nicholson, Michael Penz, Thomas Pich, Oriol Senekowitsch, Martin
Source	BioRxiv
abstract	Superspreading events shape the COVID-19 pandemic. Here we provide a national-scale analysis of SARS-CoV-2 outbreaks in Austria, a country that played a major role for virus transmission across Europe and beyond. Capitalizing on a national epidemiological surveillance system, we performed deep whole-genome sequencing of virus isolates from 576 samples to cover major Austrian SARS-CoV-2 clusters. Our data chart a map of early viral spreading in Europe, including the path from low-frequency mutations to fixation. Detailed epidemiological surveys enabled us to calculate the effective SARS-CoV-2 population bottlenecks during transmission and unveil time-resolved intra-patient viral quasispecies dynamics. This study demonstrates the power of integrating deep viral genome sequencing and epidemiological data to better understand how SARS-CoV-2 spreads through populations. Graphical Abstract
has issue date	2020-07-17(xsd:dateTime)
bibo:doi	10.1101/2020.07.15.204339
has license	biorxiv
sha1sum (hex)	29a36e0da9d8756ce58249ca5ea4522d23ce5ed3
schema:url	https://doi.org/10.1101/2020.07.15.204339
resource representing a document's title	Mutational dynamics and transmission properties of SARS-CoV-2 superspreading events in Austria
schema:publication	bioRxiv
resource representing a document's body	covid:29a36e0da9d8756ce58249ca5ea4522d23ce5ed3#body_text
is schema:about of	named entity 'spreading' named entity 'SARS-CoV-2' named entity 'shape' named entity 'isolates' named entity 'Title' named entity 'EPIDEMIOLOGICAL' named entity 'Our' named entity 'time-resolved' named entity 'surveys' named entity 'epidemiological' named entity 'genome sequencing' named entity 'Europe' named entity 'whole-genome sequencing' named entity 'Superspreading events' named entity 'COVID-19 pandemic' named entity 'virus' named entity 'genome sequencing' named entity 'virus transmission' named entity 'Austria' named entity 'SARS-CoV-2' named entity 'Mutational' named entity 'enabled' named entity 'data' named entity 'mutation' named entity 'medical treatments' named entity 'Denmark' named entity 'genome' named entity 'Austria' named entity 'probability' named entity 'Vienna' named entity 'evolutionary dynamics' named entity 'human population' named entity 'Ischgl' named entity 'SARS-CoV-2' named entity 'genome' named entity 'genome' named entity 'clade' named entity 'nucleotide' named entity 'diagnostic tools' named entity 'immune response' named entity 'evolutionary dynamics' named entity 'fixed mutations' named entity 'human genetic' named entity 'S3C' named entity 'SARS-CoV-2' named entity 'SARS-CoV-2' named entity 'alleles' named entity 'Phylogenetic' named entity 'epidemiological'

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