General | Carbohydrate O/F | Substrate utilisation | Enzymes | Metabolites | Antibiotics

Overview


  • Prevotella bergensis is a Gram-negative, non-spore-forming, strictly anaerobic, non-motile, rod-shaped bacterium. It has been detected in at least 5 gut microbiome compilation studies or metastudies. The DNA G+C content is 48%. Prevotella bergensis is a common gut coloniser. (Downes2006a)



  • This organism has been recovered from human faeces and clinical sources (soft tissue abscess - CCUG). The risk classification (www.baua.de) for this organism is 2, i.e., risk of individual infection, but low risk of spread. It is an opportunistic pathogen. A possible gut commensal.

  • QUIRKS
  • In 86% of Europeans (unseenbio.com).

  • GENERAL CHARACTERISTICS (Downes2006a);
    Character Response
  • Substrates hydrolysed or digested:
  • aesculin;
  • 💧
  • Bile tolerance:
  • Doesn't tolerate 20% bile
  • H+
  • Acid from carbohydrates usually produced:
  • arabinose; fructose; glucose; mannose; rhamnose; xylose; cellubiose; lactose; maltose; salicin;
  • ±
  • Strain-dependent acid from carbs:
  • trehalose; mannitol;

  • SPECIAL FEATURES (Downes2006a);
    Character Response
  • Metabolites produced:
  • acetate; succinate; isovalerate (trace);
  • Metabolites not produced:
  • indole;
  • Nitrate:
  • not reduced

  • RESPONSE TO ANTIBIOTICS (Goldstein2018a);
    Class Active Resistant
  • Penicillins:
  • ampicillin-sulbactam; imipenem; piperacillin-tazobactam;
  • Tetracyclines:
  • tigecycline;
  • Heterocycles:
  • metronidazole;
  • Miscellaneous antibiotics:
  • clindamycin;

  • Details


    GENERAL
    Lineage Physiology General Growth Tolerances Hydrol./digest./degr.
    Phylum:  Bacteroidetes Class:  Bacteroidia Order:  Bacteroidales Family:  Prevotellaceae Genus:  Prevotella Gram stain:  neg O2 Relation.:  strictly anaerobic Spore:  No spore Motility:  Sessile Morphology:  Rod
    Health:  Unknown
    Source:  human faeces and clinical sources (soft tissue abscess - CCUG)
    DNA G+C(%):  48
    Bile reaction(%):  20(neg)
    Aesculin:  + Urea:  neg Gelatin:  neg Arginine:  neg

    CARBOHYDRATE ACID FORMATION
    Monosaccharide O/F Oligosaccharide O/F Polysaccharide O/F Polyol O/F Other O/F
    Arabinose:  + Fructose:  + Glucose:  + Mannose:  + Rhamnose:  + Ribose:  neg Xylose:  + Cellubiose:  + Lactose:  + Maltose:  + Melezitose:  neg Melibiose:  neg Sucrose:  neg Trehalose:  d Mannitol:  d Salicin:  +

    ENZYME ACTIVITY
    Enzymes: General Enzymes: Carbohydrate Enzymes: Protein Enzymes: Arylamidases Enzymes: Esters/fats
    Catalase:  neg

    METABOLITES - PRODUCTION & USE
    Fuel Usable Metabolites Metabolites Released Special Products Compounds Produced

    Acetate:  + Succinate:  + Isovalerate:  trace(+) Indole:  neg

    ANTIBIOTICS ℞
    Penicillins & Penems (μg/mL) Cephalosporins (μg/mL) Aminoglycosides (μg/mL) Macrolides (μg/mL) Quinolones (μg/mL)
    amp-sulb:  S(MIC50): 0.5, MIC90: 1, RNG: (0.03–2)
    piper-taz:  S(MIC50): 0.015, MIC90: 0.06, RNG: (0.015–1)
    imipenem:  S(MIC50): 0.06, MIC90: 0.125, RNG: (0.015–0.25)
    moxifloxacin:  Var(MIC50): 2, MIC90: 0.5, RNG: (0.125–64)
    Tetracyclines (μg/mL) Vancomycin Class (μg/mL) Polypep/ketides (μg/mL) Heterocycles (μg/mL) Other (μg/mL)
    tigecycline:  S(MIC50): 0.5, MIC90: 0.5, RNG: (0.03–1)
    metronidazole:  S(MIC50): 1, MIC90: 2, RNG: (0.06–4)
    clindamycin:  R(MIC50): 0.03, MIC90: >32, RNG: (0.03->32)

    References


    SPECIFIC REFERENCES FOR PREVOTELLA BERGENSIS
  • Downes2006a - Prevotella bergensis sp. nov., isolated from human infections.
  • Goldstein2018a - Comparative In Vitro Activities of Relebactam, Imipenem, the Combination of the Two, and Six Comparator Antimicrobial Agents against 432 Strains of Anaerobic Organisms, Including Imipenem-Resistant Strains.
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  • GUT MICROBIOME COMPILATIONS AND METASTUDIES FOR PREVOTELLA BERGENSIS
  • Byrd2020 - Stability and dynamics of the human gut microbiome and its association with systemic immune traits.
  • Lagier2016 - Culture of previously uncultured members of the human gut microbiota by culturomics.
  • Urban2020 - Altered Fecal Microbiome Years after Traumatic Brain Injury
  • Yang2020 - Species-Level Analysis of Human Gut Microbiota With Metataxonomics.
  • Yang2020a - Establishing high-accuracy biomarkers for colorectal cancer by comparing fecal microbiomes in patients with healthy families
  • Zeller2014 - Potential of fecal microbiota for early-stage detection of colorectal cancer
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