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Abstract Detail


Genetics Section

Gove, Robert [1], Fogel, Rebecca [2], Rychtar, Jan [1], Remington, David L. [2].

Mathematical modeling of resource allocation strategies in Arabidopsis lyrata.

We are initiating studies using the rock cress plant, Arabidopsis lyrata, as a model organism to understand resource allocation between growth and maintenance vs. current reproductive output. We choose A. lyrata because it is a sister of the well-studied model plant A. thaliana, and its genome is being sequenced. Moreover, unlike A. thaliana, A. lyrata is a perennial with extensive variation in resource allocation strategies. Our goal is to construct models for how different genetic mechanisms affect growth and reproductive traits and how genetic variation in these mechanisms would result in different resource allocation strategies through their effects on networks of traits. We are further interested in predicting how these strategies affect fitness in different environments. We will compare trait correlations predicted by our models to those from our field and growth chamber studies using A. lyrata plants from four North American and European populations. The eventual goal is to predict the functions of genes that underlie variation in the trait networks.


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1 - University of North Carolina at Greensboro, Department of Mathematics and Statistics, P.O. Box 26170, Greensboro, NC, 27402, USA
2 - University of North Carolina at Greensboro, Department of Biology, P.O. Box 26170, Greensboro, NC, 27402, USA

Keywords:
Arabidopsis lyrata
resource allocation
modeling
trait networks
quantitative genetics.

Presentation Type: Poster:Posters for Sections
Session: P
Location: Ball Room & Party Room/SUB
Date: Monday, July 28th, 2008
Time: 12:30 PM
Number: PGN007
Abstract ID:691


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