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Algorithm and Software to Type Stx Operons Accurately from Assembled Genomic Sequence
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DOI：10.3390/microorganisms14081607.png)
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摘要
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Shiga toxins in Shiga toxin-producing Escherichia coli (STEC) infections are responsible for bloody diarrhea and serious complications such as hemolytic uremic syndrome. Two types of toxins have been identified: Shiga toxin type 1 (Stx1) and the immunologically distinct Shiga toxin type 2 (Stx2). Numerous STEC that express toxin variants within those two major groups have been characterized, some of which confer unique biological properties. These variants are grouped within the Stx1 or Stx2 types and are often assigned subtypes to indicate they are not identical in sequence or phenotype. Because serious outcomes of infection are associated with certain Stx subtypes, there is a need to assign Stx sequences to the proper subtype. Here, we report a comprehensive analysis of known Stx subtypes and describe a scheme and algorithm to classify the Stx toxins and Stx operon sequences by phylogenetic sequence-based relatedness of the holotoxin conforming to historical type designations. We used this analysis to develop the free and open-source StxTyper software and database that implements this typing algorithm; StxTyper is also integrated into = AMRFinderPlus 4.0 at the National Center for Biotechnology Information (NCBI). We validated and compared the results to PCR assays on a set of isolates and current state of the art surveillance methods used in the Danish public health system, and we summarize StxTyper results for over 111,000 publicly available E. coli genomes. We further propose a procedure to coordinate naming and identification for newly discovered and characterized Stx subtypes.
Keyword:
Shiga toxin (Stx)
Shiga toxin-producing <i>Escherichia coli</i> (STEC)
whole genome sequencing (WGS)
pathogen surveillance
hemolytic uremic syndrome (HUS)
AMRFinderPlus
Stx typing algorithm
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4.2
论文数:
1.9W
被引数:
5.2W
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