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Genetic determinants of self identity and social recognition in bacteria

Karine A Gibbs1, Mark L Urbanowski, E Peter Greenberg

  • 1Department of Microbiology, School of Medicine, University of Washington, Seattle, WA 98195, USA.

Science (New York, N.Y.)
|July 16, 2008
PubMed

Insights

Proteus mirabilis bacteria distinguish between self and non-self strains to form boundaries during swarming motility. Specific genes, identified as the ids locus, are crucial for this self-recognition.

Area of Science:

  • Microbiology
  • Bacterial Motility
  • Social Behavior in Bacteria

Background:

  • Proteus mirabilis exhibits swarming motility on solid surfaces.
  • Distinct P. mirabilis strains form boundaries when their colonies meet, indicating a self/non-self recognition mechanism.
  • Boundary formation is essential for understanding bacterial social interactions and population dynamics.

Purpose of the Study:

  • To investigate the genetic basis of self-recognition in Proteus mirabilis swarming.
  • To identify the genes responsible for discriminating between self and non-self strains.
  • To understand the molecular mechanisms underlying boundary formation in bacterial colonies.

Main Methods:

  • Isolation and characterization of P. mirabilis mutants exhibiting altered boundary formation.
  • Genetic mapping of mutations to identify the responsible gene locus.
  • Comparative analysis of gene function and interchangeability between different strains.

Main Results:

  • Mutants were identified that formed boundaries with their parent strain.
  • A six-gene locus, termed ids (identification of self), was identified.
  • Five ids genes are necessary for recognizing the parent strain as self.
  • Two of the ids genes encode specific molecular identifiers, while three are interchangeable between strains.

Conclusions:

  • The ids locus plays a critical role in P. mirabilis self-recognition during swarming.
  • Specific molecular identifiers encoded by ids genes mediate strain discrimination.
  • Understanding these mechanisms provides insight into bacterial communication and social organization.

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