| Abstract Detail
Bioinformatic and Biometric Methods in Plant Morphology Diaz Martinez, Diego Hernan [1], Punyasena, Surangi [2], Mio, Washington [1]. Multiscale Statistical Methods for Comparing Climatic Distributions of Plant Taxa - A Legume Case Study. Climate is a key factor in the development and evolution of plants. Different clades of plants have diversified over millions of years due in part to the effect of climate. Analysis of phylogenetic and phenotypic data (related to their biogeographic distributions and relative to climatic variables such as temperature and precipitation) of modern plant taxa can help solve different questions related to the evolutionary trajectories of plants. In this study, phenotypic data for three subfamilies of the Fabaceae plant family (Mimosoideae, Papilionoideae, Caesalpinioideae) and their phylogenetic relationships are used to determine correlations between climate and genetics for related taxa in this family. Multiscale statistical methods are used to produce relationship trees based on phenotypic climatic data and compare them to genetically produced (phylogenetic) trees in order to understand climatic specialization in the Fabaceae plant family. These methods offer a new approach for analyzing datasets and their distributions, revealing important information about their geometrical and topological structure. Broader Impacts:
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1 - Florida State University, Mathematics, 1017 Academic Way, 208 Love Building, Tallahassee, FL, 32306, USA
2 - University of Illinois, 505 S Goodwin Ave, 139 Morrill Hall, Urbana, IL, 61801, USA
Keywords:
multiscale statistical analysis
Genetics
plant biology.
Presentation Type: Symposium or Colloquium Presentation
Session: C2
Location: Prince of Wales/Riverside Hilton
Date: Monday, July 29th, 2013
Time: 4:00 PM
Number: C2010
Abstract ID:406
Candidate for Awards:None |
