Proteomics of Populus: Understanding Protein Expression Involved in Carbon Allocation
EMSL Project ID
25604
Abstract
With the availability of the sequenced poplar genome, high throughput proteomic evaluations can reveal molecular understanding of how to make trees grow faster and manipulate allocation of carbon into various organs. Such understanding could enhance the ability of poplars to sequester carbon as part of mitigation projects or produce bioenergy feedstock. We will be pursuing an understanding the biomolecular events taking place in poplars, which could be enhanced (genetically or via hybridization) to better control the allocation of carbon and the quickening of growth for enhanced production of bioenergy feedstock.We will experimentally alter carbon allocation in the Nisqually-1 clone by growing trees at two different densities in a greenhouse located at WSU-Puyallup.
EMSL will provide an AMT tag-based strategy for high throughput measurements of protein abundance differences. The AMT tag strategy incorporates the high mass measurement accuracy of FTICR with the accurate elution time measurement from LC separation(s) to identify peptides. Identified peptides would be incorporated as AMT tags into a database, providing a comprehensive coverage of the proteome and will serve as the look-up table for subsequent LC-FTICR analyses and function as tags for identifying corresponding proteins in all subsequent proteome analyses. We propose then to use the proteomic library developed above to conduct time course studies of the same clone and to conduct comparative studies between spacing-sensitive (P. trichocarpa) and -insensitive (P. deltoides) clones to better understand genetic control of carbon allocation. Lastly, we will focus on understanding the proteomic behavior associated with the expression of heterosis (also known as hybrid vigor) which results in a small percentage of the hybrid offspring outgrowing either parent by up to 100%.
We are proposing to use High-Performance Mass Spectrometry located at EMSL.
Project Details
Project type
Large-Scale EMSL Research
Start Date
2007-07-01
End Date
2008-07-06
Status
Closed
Released Data Link
Team
Principal Investigator