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Abstract Detail



Phylogenomics

Bailey, C. Donovan [1], Kovar, Lynsey [2], Madhugiri, Nageswara-Rao [2], Dugas, Diana V. [2], Muhyi, Noor R. [2], Ortega-Rodriguez, Sealtiel [2], Koenen, Erik [3], Hughes, Colin E. [3].

A progress report: clarifying the evolutionary history of Leucaena (Leguminosae: Mimosoideae) using chloroplast, mitochondrial, and nuclear transcriptome data.

The evolutionary history of the mimosoid legume genus Leucaena has been influenced by paleopolyploidy, diploidization, divergent diploid speciation, and allotetraploid speciation. However, prior sequence data from four cpDNA regions and six nuclear loci have only provided modest phylogenetic resolution and insufficiently variable markers to more fully investigate each of these evolutionary mechanisms. Further investigation of Leucaena requires large numbers of variable markers from each genomic compartment. Here we use transcriptome data derived from three young seedlings per species to obtain comparable sets of sequences representing the chloroplast, mitochondrial, nuclear genomes. The cpRNA derived results identify well-supported lineages that are congruent with previously recognized major clades, but with greater resolution and support therein. The mtRNA sequence data resolved the same major clades as the chloroplast; however, there were some differences within these lineages. The nuclear derived data are explored to further clarify patterns of divergence among the diploid taxa of Leucaena as well as maternal/paternal origins of the five allotetraploid species.


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1 - New Mexico State University, PO Box 30001 MSC 3AF, Las Cruces, NM, 88003, USA
2 - New Mexico State University, Biology, Rm 120 Foster Hall (Stores), Las Cruces, New Mexico, 88003, United States
3 - University of Zurich, Institute of Systematic Botany, Zurich, Switzerland

Keywords:
none specified

Presentation Type: Oral Paper
Session: 38, Phylogenomics III
Location: 204/Savannah International Trade and Convention Center
Date: Wednesday, August 3rd, 2016
Time: 11:30 AM
Number: 38014
Abstract ID:869
Candidate for Awards:None


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