| Abstract Detail
Metabolism Choi, Suh-Yeon [1], Ilarslan, Hilal [2], Kourtz, Lauralynn [3], Snell, Kristi [3], Lawrence, Michael [4], Cook, Dianne [4], Nikolau, Basil J [5], Wurtele, Eve [2]. Transcriptomic and Metabolomic analysis of PHB-producing Arabidopsis. Polyhydroxyalkanoates (PHAs) are a class of biodegradable polyesters (bioplastics) naturally produced by many bacteria. Production of PHAs in plants could provide a solar-energy-powered source of bioplastic. However, economically viable production of bioplastics in plants tends to have detrimental effects on growth, which limits the use of plants as bio-factories. To understand the relationship between carbon utilization and illumination cycles in the presence of a foreign sink for plastidic acetyl-CoA, we evaluated transgenic PHB-producing and wild type plants grown under three different illumination regimes. PHB accumulation was dependent on the light regime, and was as high as 15% of total dry weight. Metabolite profiles (non-targeted GC-MS analysis), the acyl-CoAs accumulation (LC/MS/MS), and transcriptomic profiles were determined. Transcriptomic and metabolomic data were evaluated using Explorase (MetNet Platform, http://metnet.vrac.iastate.edu) software to analyze and visualize omics data. Our working hypothesis is that that plant responds to a flux of carbon to PHB with transcriptional shifts that reallocate carbon in related pathways.
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Related Links:
MetNet platform to analyze and visualize omics data
1 - Iowa State University, Genetics, Development and Cell Biology, 433 Bessey Hall, Iowa State University, Ames, IA, 50011, USA
2 - Iowa State University, Genetics, Development and Cell Biology
3 - Metabolix Inc.
4 - Iowa State University, Statistics
5 - Iowa State University, Biochemistry, Biophysics, and Molecular Biology
Keywords:
polyhydroxybutyrate
bioplastics
Acetyl-CoA
metabolomics.
Presentation Type: Plant Biology Abstract
Session: P
Location: Exhibit Hall (Northeast, Southwest & Southeast)/Hilton
Date: Sunday, July 8th, 2007
Time: 8:00 AM
Number: P19022
Abstract ID:534 |
