Bacterial biofilms: from the Natural environment to infectious diseases View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2004-02

AUTHORS

Luanne Hall-Stoodley, J. William Costerton, Paul Stoodley

ABSTRACT

Biofilms--matrix-enclosed microbial accretions that adhere to biological or non-biological surfaces--represent a significant and incompletely understood mode of growth for bacteria. Biofilm formation appears early in the fossil record (approximately 3.25 billion years ago) and is common throughout a diverse range of organisms in both the Archaea and Bacteria lineages, including the 'living fossils' in the most deeply dividing branches of the phylogenetic tree. It is evident that biofilm formation is an ancient and integral component of the prokaryotic life cycle, and is a key factor for survival in diverse environments. Recent advances show that biofilms are structurally complex, dynamic systems with attributes of both primordial multicellular organisms and multifaceted ecosystems. Biofilm formation represents a protected mode of growth that allows cells to survive in hostile environments and also disperse to colonize new niches. The implications of these survival and propagative mechanisms in the context of both the natural environment and infectious diseases are discussed in this review. More... »

PAGES

95-108

Journal

TITLE

Nature Reviews Microbiology

ISSUE

2

VOLUME

2

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  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1038/nrmicro821

    DOI

    http://dx.doi.org/10.1038/nrmicro821

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1039651347

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/15040259


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    N-Triples is a line-based linked data format ideal for batch operations.

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1038/nrmicro821'

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    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/nrmicro821'

    RDF/XML is a standard XML format for linked data.

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