2015
DOI: 10.1101/032151
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EcOH:In silicoserotyping ofE. colifrom short read data

Abstract: 22"! 23"The lipopolysaccharide (O) and flagellar (H) surface antigens of Escherichia coli are targets 24"for serotyping that have traditionally been used to identify pathogenic lineages of E. coli. As 25"serotyping has several limitations, public health reference laboratories are increasingly 26"moving towards whole genome sequencing (WGS) for the rapid characterisation of bacterial 27"isolates. Here we present a method to rapidly and accurately serotype E. coli isolates from 28"raw, short read sequence data, … Show more

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Cited by 8 publications
(8 citation statements)
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“…Primers designed to detect clade-specific SNPs reported by Ben Zakour et al (2016) are presented in Supplemental Table S3. In silico serotyping was performed with SRST2 according to the investigator's instructions with the database provided (Ingle et al 2015). Here, serotype is defined by presence of known genes encoding serotype-determining enzymes.…”
Section: Sequence Data Analysismentioning
confidence: 99%
“…Primers designed to detect clade-specific SNPs reported by Ben Zakour et al (2016) are presented in Supplemental Table S3. In silico serotyping was performed with SRST2 according to the investigator's instructions with the database provided (Ingle et al 2015). Here, serotype is defined by presence of known genes encoding serotype-determining enzymes.…”
Section: Sequence Data Analysismentioning
confidence: 99%
“…The draft genome assemblies from WGS and EnteroBase were analyzed for the presence of antibiotic resistance genes (ARGs), virulence genes, plasmid replicons, and serotypes. For this purpose, ABRicate (https://github.com/tseemann/abricate) was used with thresholds set to 90% identity and 95% query coverage against the databases ResFinder (43), VFDB (44), PlasmidFinder (45), and EcOH (46), respectively. Plasmid multilocus sequence typing (pMLST) was performed using pMLST by the Center for Genomic Epidemiology (45).…”
Section: Genomic Characterizationmentioning
confidence: 99%
“…Annotation files were generated with Prokka v1.13.3 (Seemann, 2014) using the Franco-Iberian Fth FTNF002-00 genome (NC_009749) as a reference. Abricate v0.8.10 (Seemann, 2019) was used in order to detect genes associated with antibiotic resistance using ARG-ANNOT (Gupta et al, 2014), CARD (Jia et al, 2017), EcOH (Ingle et al, 2015), NCBI Bacterial Antimicrobial resistance Reference Gene Database (Accession: PRJNA313047) and ResFinder (Zankari et al, 2012) databases, with a minimum identity of 50%. CanSNPer v1.0.8 was used to assign the established canSNP nomenclature to the sequenced strains.…”
Section: Whole-genome Sequencing and Variant Analysismentioning
confidence: 99%