ArticleFEMS microbiology letters2024
Whole-genome-based taxonomy as the most accurate approach to identify Flavobacterium species.
Article in FEMS microbiology letters, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
2 citing papers in PubMed.
- Integrating ANI and phylogenies for re-evaluation of Fusobacterium taxonomy and disease associations.Nature communications · 2026Article
- Isolation, Genomic Taxonomy, and Genome Characterization of Streptomyces fradiae SS162, Which has Antibacterial Activity Against Vibrio parahaemolyticus.Current microbiology · 2025Article
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Authors and funding
5 authors.
Funding
Abstract
The genus Flavobacterium comprises a diversity of species, including fish pathogens. Multiple techniques have been used to identify isolates of this genus, such as phenotyping, polymerase chain reaction genotyping, and in silico whole-genome taxonomy. In this study, we demonstrate that whole-genome-based taxonomy, using average nucleotide identity and molecular phylogeny, is the most accurate approach for Flavobacterium species. We obtained various isolated strains from official collections; these strains had been previously characterized by a third party using various identification methodologies. We analyzed isolates by PCR genotyping using previously published primers targeting gyrB and gyrA genes, which are supposedly specific to the genus Flavobacterium and Flavobacterium psychrophilum, respectively. After genomic analysis, nearly half of the isolates had their identities re-evaluated: around a quarter of them were re-assigned to other genera and two isolates are new species of flavobacteria. In retrospect, the phenotyping method was the least accurate. While gyrB genotyping was accurate with the isolates included in this study, bioinformatics analysis suggests that only 70% of the Flavobacterium species could be appropriately identified using this approach. We propose that whole-genome taxonomy should be used for accurate Flavobacterium identification, and we encourage bacterial collections to review the identification of isolates identified by phenotyping.
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