bioRxivMicrobiologyPreprint
Gardnerella fastidiominuta sp. nov. isolated from the female urinary microbiome
Liliane Pinto Ferrador, Bárbara DuarteiD, Filipa GrossoiD, Teresa Gonçalves RibeiroiD, Luísa Maria Sobreira Vieira PeixeiD
Abstract
The genus Gardnerella comprises a group of fastidious bacteria associated with the female urogenital tract and has undergone extensive taxonomic revision in recent years. In this study, a bacterial strain, designated CCPDSM, was isolated from the female urinary microbiome and subjected to a comprehensive polyphasic taxonomic characterization. The 16S rRNA gene sequence confirmed that this strain is a member of the genus Gardnerella, and phylogenetic analyses based on cpn60 sequences, together with phylogenomic reconstruction placed strain CCPDSM within the genus Gardnerella as a distinct and well-supported lineage. Genome-based relatedness indices (ANIb, ANIm, TETRA and dDDH), demonstrated clear separation of CCPDSM from all validly published Gardnerella species. In contrast, comparisons with two publicly available closely related genomes yielded values above accepted species delineation thresholds, supporting their assignment to the same taxon. Phenotypic characterization, together with genome-based functional predictions, revealed a fastidious, fermentative metabolic profile that further differentiated CCPDSM from its closest relatives, while remaining consistent with traits characteristic of the genus. On the basis of combined phylogenetic, genomic and phenotypic evidence, strain CCPDSM is proposed as representing a novel species within the genus Gardnerella, for which the name Gardnerella fastidiominuta sp. nov. is proposed, with strain CCPDSM (=CECT 31324=CCP 588) designated as the type strain. This study expands the recognized diversity of Gardnerella and highlights the female urinary tract as a reservoir of previously uncharacterized species within this genus.
- organism: human
- assay: DNA methylation
- assay: whole-genome sequencing
- research focus: cell type annotation
- research focus: clustering
- approach: statistical model
- Citations
- 0
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