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Abstract Detail


Developmental and Structural Section

Doust, Andrew N. [1], Borrone, James W.  [1], Fathepure, Shakuntala [1].

Fruit diversity in Paysonia (Brassicaceae): integrating developmental morphology, phylogeny and genetics.

Evolutionary developmental genetics aims to leverage genetic information from model systems to uncover changes that lead to evolutionary diversification. We are interested in evo-devo approaches to explaining the evolution and diversification of fruit shape in the eight species of Paysonia (Brassicaceae). These species vary in lateral and/or medial expansion of the fruit valves, characters that vary generally across the entire family. Molecular phylogenies indicate that Texan and Oklahoman species are well-delimited, showing reciprocal monophyly, but that the Tennessee species, several of which are threatened by habitat loss, are less well-defined. We are investigating the evolution and diversification of the genus through developmental morphology, molecular phylogenies, population genetics, and quantitative genetic analysis of controlled crosses between species. Analyses of comparative fruit development indicate that divergent morphologies arise from a common developmental pathway, and suggest several genes that could be candidates for morphological diversification. Genomic and genetic resources under development include cDNA libraries, microsatellite and SNP markers, and mapping populations (see also poster by J.W. Borrone et al.). These tools, together with candidate genes identified from comparative genomic analysis, are providing insight into the genetic changes underlying morphological diversification.


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1 - Oklahoma State University, Botany Department, Stillwater, OK, 74078, USA

Keywords:
Evolutionary Developmental Genetics
Paysonia
Brassicaceae
evo-devo
Fruit development
genomics
phylogenetics
population genetics.

Presentation Type: Oral Paper:Papers for BSA Sections
Session: 51
Location: Maybird/Cliff Lodge - Level C
Date: Tuesday, July 28th, 2009
Time: 2:15 PM
Number: 51003
Abstract ID:333


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