Streptococcus pseudopneumoniae: Use of Whole-Genome Sequences To Validate Species Identification Methods
A correct identification of is a prerequisite for investigating the clinical impact of the bacterium. The identification has traditionally relied on phenotypic methods. However, these phenotypic traits have been shown to be unreliable, with some strains giving conflicting results. Therefore, sequenc...
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Veröffentlicht in: | Journal of clinical microbiology 2021-01, Vol.59 (2) |
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Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | A correct identification of
is a prerequisite for investigating the clinical impact of the bacterium. The identification has traditionally relied on phenotypic methods. However, these phenotypic traits have been shown to be unreliable, with some
strains giving conflicting results. Therefore, sequence-based identification methods have increasingly been used for identification of
In this study, we used 64
strains, 59
strains, 22
strains, 24
strains, 6
strains, and 1
strain to test the capability of three single genes (
,
, and
), two multilocus sequence analysis (MLSA) schemes, the single nucleotide polymorphism (SNP)-based phylogeny tool CSI phylogeny, a k-mer-based identification method (KmerFinder), average nucleotide identity (ANI) using fastANI, and core genome analysis to identify
Core genome analysis and CSI phylogeny were able to cluster all strains into distinct clusters related to their respective species. It was not possible to identify all
strains correctly using only one of the single genes. The MLSA schemes were unable to identify some of the
strains, which could be misidentified. KmerFinder identified all
strains but misidentified one
strain as
, and fastANI differentiated between
and
using an ANI cutoff of 96%. |
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ISSN: | 0095-1137 1098-660X |
DOI: | 10.1128/JCM.02503-20 |