Genome analysis reveals a biased distribution of virulence and antibiotic resistance genes in the genus Enterococcus and an abundance of safe species

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Abstract

Enterococci are lactic acid bacteria (LAB) that, as their name implies, often are found in the gastrointestinal tract of animals. Like many other gut-dwelling LAB, for example, various lactobacilli, they are frequently found in other niches as well, including plants and fermented foods from all over the world. In fermented foods, they contribute to flavor and other organoleptic properties, help extend shelf life, and some even possess probiotic properties. There are many positive attributes of enterococci; however, they have been overshadowed by the occurrence of antibiotic-resistant and virulent strains, often reported for the two species, Enterococcus faecalis and Enterococcus faecium. More than 40,000 whole-genome sequences covering 64 Enterococcus type species are currently available in the National Center for Biotechnology Information repository. Closer inspection of these sequences revealed that most represent the two gut-dwelling species E. faecalis and E. faecium. The remaining 62 species, many of which have been isolated from plants, are thus quite underrepresented. Of the latter species, we found that most carried no potential virulence and antibiotic resistance genes, an observation that is aligned with these species predominately occupying other niches. Thus, the culprits found in the Enterococcus genus mainly belong to E. faecalis, and a biased characterization has resulted in the opinion that enterococci do not belong in food. Since enterococci possess many industrially desirable traits and frequently are found in other niches besides the gut of animals, we suggest that their use as food fermentation microorganisms is reconsidered.
Original languageEnglish
JournalApplied and Environmental Microbiology
ISSN0099-2240
DOIs
Publication statusAccepted/In press - 2025

Keywords

  • Enterococcus
  • Virulence gene
  • Antibiotic resistance genes
  • Whole-genome analysis

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