| Abstract Detail
Evolutionary Developmental Biology (Evo-Devo) Borrone, James W. [1], Doust, Andrew N. [1]. Development of genomic and genetic resources for Paysonia, a model “non-model system” to investigate evolutionary development in the Brassicaceae. Evolutionary developmental genetics incorporates information gleaned from model systems to elucidate the mechanisms responsible for evolutionary diversification. The genus Paysonia, composed of only eight species, is a member of the tribe Physariae that diverges at the base of the well-supported lineage (clade) leading to the model plant, Arabidopsis thaliana. Each of the eight Paysonia species occurs in a distinct geographical region, and each displays a distinctly, different fruit morphology, as well as variations in trichome patterning and seed coat biochemistry, representative of the range of diversity found throughout the Brassicaceae. We describe the utilization of “next-generation” sequencing to identify sequences homologous with “candidate genes” involved in fruit, trichome, and seed coat development from Arabidopsis, and to develop co-dominant molecular, genetic markers to discriminate both interspecific (phylogenetic) and intraspecific (population/ phylogeographic) evolutionary relationships. We also describe the development of genetic resources, from interspecific crosses of Paysonia species, to further identify the genomic regions contributing to the diversity found within this genus. Together, these genomic and genetic resources provide a firm foundation for Paysonia as a model “non-model” system investigating the evolution of development, leading to diversification, within the Brassicaceae. Log in to add this item to your schedule
1 - Oklahoma State University, Botany Department, Stillwater, OK, 74078, USA
Keywords: Evolutionary Developmental Genetics Brassicaceae Paysonia population genetics quantitative genetics Fruit development.
Presentation Type: Poster:Posters for Topics Session: P1 Location: Event Tent/Cliff Lodge Date: Monday, July 27th, 2009 Time: 5:30 PM Number: P1EV001 Abstract ID:336 |