Searching for adaptive resource allocation strategies in Arabidopsis lyrata using genetic algorithms

  • Authors:

  • Robert P. Gove

  • Affiliations:

  • University of North Carolina at Greensboro, Greensboro, NC

  • Venue:
  • Proceedings of the 47th Annual Southeast Regional Conference
  • Year:
  • 2009

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Abstract

The perennial plant Arabidopsis lyrata, whose genome has recently been sequenced, shows considerable adaptation to local climates, thus making it an ideal plant for analyzing the genetics of resource allocation. My research focuses on determining how resource allocation traits for reproduction and growth and maintenance may be controlled genetically in different populations. A simulation is developed to analyze the effectiveness of a particular resource allocation strategy, and a genetic algorithm is implemented to search through the strategy space and identify the most adaptive strategies for particular environments.