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Seqsphere software version 6

Manufactured by Ridom
Sourced in Germany

SeqSphere software version 6.0.2 is a bioinformatics software application designed for the analysis and interpretation of DNA sequence data. The core function of the software is to provide tools for sequence alignment, phylogenetic analysis, and genome assembly.

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Lab products found in correlation

5 protocols using seqsphere software version 6

1

Genomic Typing of VRE Strains

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To uncover genetic relationships of the VRE strains, isolates were compared via WGS-based typing using the Illumina MiSeq platform (Illumina Inc., San Diego, CA, USA) [36 (link)]. After quality trimming, coding core genome regions were compared in a gene-by-gene approach (core genome multilocus sequence typing, cgMLST) using the SeqSphere+ software version 6.0.0 (Ridom GmbH, Münster, Germany) and the published E. faecium cgMLST target scheme [37 (link)]. To display the clonal relationship of genotypes, the minimum spanning tree algorithm was applied using the same software. Genotypes differing in ≤3 alleles were rated as closely related. For backwards compatibility with classical molecular typing (i.e., multilocus sequence typing (MLST)), the MLST sequence types (STs) were extracted from the WGS data in silico.
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2

Genomic Typing of S. aureus Isolates

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To uncover the genetic relationships of the S. aureus isolates, a subset of strains (Supplementary Table S5) was compared via WGS-based typing using the Illumina MiSeq platform (Illumina Inc., San Diego, CA, United States) (Mellmann et al., 2016 (link)). After quality trimming, coding core genome regions were compared in a gene-by-gene approach (core genome multilocus sequence typing, cgMLST) using the SeqSphere+ software version 6.0.0 (Ridom GmbH, Münster, Germany) and the published S. aureus cgMLST target scheme (Leopold et al., 2014 (link)). To display the clonal relationship of genotypes, the minimum spanning tree algorithm was applied using the same software. Genotypes differing in ≤24 alleles were rated as closely related. For backwards compatibility with classical molecular typing the spa-types were extracted from the WGS data in silico.
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3

Comprehensive Genomic Profiling of Bacterial Isolates

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The BioNumerics software was used to generate a minimum spanning tree (MST) or a UPGMA hierarchical clustering as described previously [3 (link)]. The categorical coefficient was used to calculate the MST and the MST was based on in-house E. coli and K. pneumoniae wgMLST schemes. The NGS data of the K. pneumoniae and E. coli isolates were used for classical MLST and wgMLST analyses using in-house wgMLST schemes made in the SeqSphere software version 6.0.2 (Ridom). The in-house K. pneumoniae wgMLST scheme comprised 4978 genes (3471 core-genome and 1507 accessory-genome targets) using K. pneumoniae MGH 78,578 (NC_009648.1) as a reference genome. The in-house E. coli wgMLST scheme comprised 4503 genes (3199 core-genome and 1304 accessory-genome targets) using E. coli 536 (CP000247.1) as a reference genome.
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4

Whole-Genome Sequencing of K. pneumoniae

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All 84 K. pneumoniae isolates were subjected to next-generation sequencing (NGS) using the Illumina HiSeq 2500 (BaseClear, Leiden, the Netherlands). The NGS data of the K. pneumoniae isolates were used for classical MLST and wgMLST analyses using the in-house wgMLST scheme in SeqSphere software version 6.0.2 (Ridom GmbH, Münster, Germany). The in-house K. pneumoniae wgMLST scheme was comprised of 4978 genes (3471 core-genome and 1507 accessory-genome targets) using K. pneumoniae MGH 78,578 (NC_009648.1) as a reference genome21 (link). For classical MLST, the existing scheme was used and cluster nomenclature were depicted in Table 134 (link). The resulting data was imported into Bionumerics version 7.6.3 for subsequent comparative analyses (Applied Maths, Sint-Martens-Latem, Belgium). The antibiotic resistance gene profile and plasmid replicon compositions in all of the isolates were determined by interrogating the online ResFinder (version 3.1.0) and PlasmidFinder (version 2.0.2) databases available at the Center for Genomic Epidemiology website (https://cge.cbs.dtu.dk/services/)35 (link),36 (link). For ResFinder, a 90% identity threshold and a minimum length of 60% were used as criteria, whereas for PlasmidFinder, an identity of 95% was utilized.
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5

Whole Genome Sequencing and Typing of Vancomycin-Resistant Enterococcus

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The first VRE isolate per patient and BSI isolates were subjected to whole genome sequencing (WGS). Briefly, sequencing libraries were prepared using the Nextera XT library preparation kit (Illumina, Munich, Germany) for a 250 bp paired-end sequencing run on a MiSeq (Illumina). De novo assembly was performed using Velvet (version 1.1.04). Assembled genomes were used for core genome multilocus sequence typing (cgMLST) (1,423 alleles [18 (link)],) and traditional 7-loci MLST using SeqSphere + software version 6.0.2 (Ridom, Münster, Germany), van genes were identified using ResFinder (https://cge.cbs.dtu.dk/services/ResFinder/). The raw sequencing reads were submitted to the European Nucleotide Archive under the study accession number PRJEB25579 [19 ].
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