Genome analysis of Bifidobacterium bifidum PRL2010 reveals metabolic pathways for host-derived glycan foraging

  • Francesca Turroni
  • , Francesca Bottacini
  • , Elena Foroni
  • , Imke Mulder
  • , Jae-Han Kim
  • , Aldert Zomer
  • , Borja Sánchez
  • , Alessandro Bidossi
  • , Alberto Ferrarini
  • , Vanessa Giubellini
  • , Massimo Delledonne
  • , Bernard Henrissat
  • , Pedro Coutinho
  • , Marco Oggioni
  • , Gerald F Fitzgerald
  • , David Mills
  • , Abelardo Margolles
  • , Denise Kelly
  • , Douwe van Sinderen
  • , Marco Ventura

    Research output: Contribution to journalArticleAcademicpeer-review

    Abstract

    The human intestine is densely populated by a microbial consortium whose metabolic activities are influenced by, among others, bifidobacteria. However, the genetic basis of adaptation of bifidobacteria to the human gut is poorly understood. Analysis of the 2,214,650-bp genome of Bifidobacterium bifidum PRL2010, a strain isolated from infant stool, revealed a nutrient-acquisition strategy that targets host-derived glycans, such as those present in mucin. Proteome and transcriptome profiling revealed a set of chromosomal loci responsible for mucin metabolism that appear to be under common transcriptional control and with predicted functions that allow degradation of various O-linked glycans in mucin. Conservation of the latter gene clusters in various B. bifidum strains supports the notion that host-derived glycan catabolism is an important colonization factor for B. bifidum with concomitant impact on intestinal microbiota ecology.

    Original languageEnglish
    Pages (from-to)19514-9
    Number of pages6
    JournalProceedings of the National Academy of Sciences of the United States of America
    Volume107
    Issue number45
    DOIs
    Publication statusPublished - 9 Nov 2010

    Keywords

    • Bifidobacterium
    • Feces
    • Gene Expression Profiling
    • Genome, Bacterial
    • Genomics
    • Host-Pathogen Interactions
    • Humans
    • Infant, Newborn
    • Intestines
    • Metabolic Networks and Pathways
    • Molecular Sequence Data
    • Mucins
    • Multigene Family
    • Polysaccharides

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