2022
DOI: 10.1099/mgen.0.000847
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Genomic diversity of genus Limosilactobacillus

Abstract: The genus Limosilactobacillus (formerly Lactobacillus ) contains multiple species considered to be adapted to vertebrates, yet their genomic diversity has not been explored. In this study, we performed comparative genomic analysis of Limosilactobacillus … Show more

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Cited by 13 publications
(4 citation statements)
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“…The pangenomes of most Lactobacillaceae species were found to be moderately open compared to other bacterial species. The vast genome diversity of the species was also discussed in prior pangenome studies of a few of the Lactobacillaceae (Ksiezarek et al, 2022;Zhang et al, 2020). Thus the larger size of the rare genomes observed in this study represents an important marker for characterizing the genomic diversity of lactic acid bacteria.…”
Section: Discussionsupporting
confidence: 52%
“…The pangenomes of most Lactobacillaceae species were found to be moderately open compared to other bacterial species. The vast genome diversity of the species was also discussed in prior pangenome studies of a few of the Lactobacillaceae (Ksiezarek et al, 2022;Zhang et al, 2020). Thus the larger size of the rare genomes observed in this study represents an important marker for characterizing the genomic diversity of lactic acid bacteria.…”
Section: Discussionsupporting
confidence: 52%
“…For this reason, the genome of L. vaginalis BC17 was fully sequenced, and the absence of antibiotic resistance genes was confirmed. This aligns with the finding that Limosilactobacillus strains are generally antibiotic susceptible, although strains from food-producing animals (i.e., L. reuteri strains) are more prone to acquire antibiotic resistance [38]. Moreover, the genome analysis made it possible to exclude the presence of other virulence factors that have been associated with lactobacilli, mainly causing evasion from host defense mechanisms, platelet aggregation, tissue disruption, and host invasion [12].…”
Section: Discussionsupporting
confidence: 70%
“…A training set was constructed using organisms known to fit into one of the four groups (Supplementary Table S6). Bifidobacterium species and lactic acid bacteria were used for the Ferment to Intermediates training set (Okada et al, 1979;Pokusaeva et al, 2011;Pruckler et al, 2015;Tanner et al, 2016;Eckel and Vogel, 2020;Ferrero et al, 2021;Kasmaei et al, 2022;Ksiezarek et al, 2022), Clostridium and Megasphaera species were used for the Intermediate Chain Elongators training set (Wallace et al, 2003;Seedorf et al, 2008;Jeon et al, 2017;Kobayashi et al, 2017;Tao et al, 2017;Yang et al, 2018;Yoshikawa et al, 2018;Litty and Muller, 2021), Caproicibacter and Roseburia species were used for the Carbohydrate Chain Elongators training set (Kim et al, 2015;Tamanai-Shacoori et al, 2017;Flaiz et al, 2020;Schoelmerich et al, 2020), and Acetobacter, Prevotella, and Sphaerochaeta species were used for the uninvolved training set.…”
Section: Multiclass Classification Machine Learning Algorithmmentioning
confidence: 99%