NDLI: Data from: Whole genome-sequencing and phylogenetic analysis of a historical collection of Bacillus anthracis strains from Danish cattle (Dataset)

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Data from: Whole genome-sequencing and phylogenetic analysis of a historical collection of Bacillus anthracis strains from Danish cattle (Dataset)

Content Provider	Dryad
Author	Derzelle, Sylviane Girault, Guillaume Kokotvic, Branko Angen, Øystein Kokotovic, Branko
Abstract	Bacillus anthracis, the causative agent of anthrax, is known as one of the most genetically monomorphic species. Canonical single-nucleotide polymorphism (SNP) typing and whole-genome sequencing were used to investigate the molecular diversity of eleven B. anthracis strains isolated from cattle in Denmark between 1935 and 1988. Danish strains were assigned into five canSNP groups or lineages, i.e. A.Br.001/002 (n = 4), A.Br.Ames (n = 2), A.Br.008/011 (n = 2), A.Br.005/006 (n = 2) and A.Br.Aust94 (n = 1). The match with the A.Br.Ames lineage is of particular interest as the occurrence of such lineage in Europe is demonstrated for the first time, filling an historical gap within the phylogeography of the lineage. Comparative genome analyses of these strains with 41 isolates from other parts of the world revealed that the two Danish A.Br.008/011 strains were related to the heroin-associated strains responsible for outbreaks of injection anthrax in drug users in Europe. Eight novel diagnostic SNPs that specifically discriminate the different sub-groups of Danish strains were identified and developed into PCR-based genotyping assays.
File Size	486075
File Format	HTM / HTML
ISSN	19326203
DOI	10.5061/dryad.0h82m
Alternate Webpage(s)	https://datadryad.org/stash/downloads/file_stream/26009
Alternate Webpage(s)	https://datadryad.org/stash/downloads/file_stream/26008
Language	English
Publisher Date	2016-08-10
Access Restriction	Open
Subject Keyword	Bacillus Anthracis Snp Phylogenetic Tree Minimum Spanning Tree 1935-1988 Whole-genome Single Nucleotide Polymorphisms Discovery
Content Type	Text
Resource Type	Data Set
Subject	Multidisciplinary

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