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A simple mechanism for complex social behavior.

Katie Parkinson1, Neil J Buttery, Jason B Wolf

  • 1Faculty of Life Sciences, Michael Smith Building, University of Manchester, Manchester, United Kingdom.

Plos Biology
|April 7, 2011
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Summary
This summary is machine-generated.

Simple social signaling rules explain complex cooperative behaviors in Dictyostelium discoideum. Variation in signal production and response, not partner recognition, drives diverse social strategies and evolution of cooperation.

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Area of Science:

  • Evolutionary biology
  • Social behavior
  • Microbial genetics

Background:

  • The evolution of cooperation presents a paradox, as natural selection favors exploitation over contribution.
  • Complex social strategies and counterstrategies arise from conflicts between self-interest and cooperation.
  • Genetic and biological mechanisms for complex social strategies remain largely unknown.

Purpose of the Study:

  • To investigate if social signal variation explains complex social behaviors in Dictyostelium discoideum.
  • To determine the role of signal production and response in the evolution of cooperation.
  • To identify the underlying genetic mechanisms of social strategy variation.

Main Methods:

  • Mathematical modeling of social signal production and response.
  • Molecular genetic analysis of a social behavior mutant.
  • Measurement of social signaling in wild isolates of Dictyostelium discoideum.

Main Results:

  • A simple model of social signaling adequately explains complex social behavior without partner recognition.
  • A single gene mutation altering social behavior is consistent with the social signaling model.
  • Natural genetic diversity in social signaling explains observed variations in social behavior.

Conclusions:

  • Simple rules governing social signal interactions provide a mechanistic basis for complex social strategies.
  • Variation in social signaling is sufficient to generate diverse and seemingly unpredictable social outcomes.
  • This research offers insights into the evolution of cooperation and social complexity in microbial systems.