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Proteome Atlas for the Poplar Tree
Published: October 16, 2012
Posted: February 14, 2013

Populus, a fast-growing perennial tree, holds potential as a bioenergy crop due to its ability to produce large amounts of biomass on non-agricultural land. For woody perennial plants such as poplar, there is a tight coupling between growth and photosynthesis during the plant's lifetime. To understand this process, researchers at the U.S. Department of Energy's BioEnergy Science Center (BESC) have measured more than 11,000 proteins in different tissues of poplar, including mature leaves, young leaves, roots, and stems. They have developed a poplar proteome atlas that shows which proteins are present in the various tissue types at a given point in time. By mapping the proteins back to tissue-specific metabolic pathways, the BESC scientists demonstrated that the same organ can participate in two different growth stages. Their findings confirm prior hypotheses that mature leaves appear to function primarily in the generation of energy via photosynthesis while young leaves partition resources between growth and photosynthesis. This study illustrates that a comprehensive systems approach to proteomics can yield valuable information on the lifecycle of bioenergy-related plants. The paper is the cover article for the latest issue of Molecular and Cellular Proteomics.

Reference: Abraham, P., R. J. Giannone, R. M. Adams, U. Kalluri, G. A. Tuskan, and R. L. Hettich. 2013. "Putting the Pieces Together: High-Performance LC-MS/MS Provides Network-, Pathway-, and Protein-Level Perspectives in Populus, "Molecular and Cellular Proteomics 12, 106–119. DOI: 10.1074/mcp.M112.022996. (Reference link)

Contact: Susan Gregurick, SC-23.2, (301) 903-7672
Topic Areas:

  • Research Area: Genomic Analysis and Systems Biology
  • Research Area: Plant Systems and Feedstocks, Plant-Microbe Interactions
  • Research Area: Sustainable Biofuels and Bioproducts
  • Research Area: DOE Bioenergy Research Centers (BRC)
  • Research Area: Computational Biology, Bioinformatics, Modeling

Division: SC-33.2 Biological Systems Science Division, BER

 

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