Summary
(1)   Senior personnel
             PI:   Alan Myers, Department of Biochemistry, Biophysics, and Molecular Biology, Iowa State University
       Co-PI:   Martha James, Department of Biochemistry, Biophysics, and Molecular Biology, Iowa State University
       Co-PI:   Eve Wurtele, Department of Botany, Iowa State University
(2)   Summary of the proposed project
        The molecular and physiological functions of the Arabidopsis starch metabolism gene network will be determined.  Carbohydrate storage as starch is a distinguishing characteristic of plants.  The glucose homopolymers in starch, amylose and amylopectin, comprise monomers joined by a(1®4) or a(1®6) glycosidic bonds.  Despite this simple chemical structure, amylopectin in particular displays a complex molecular architecture essential for starch function.  Mechanisms for amylopectin biosynthesis or degradation to soluble glucose monomers are largely unknown.  The Arabidopsis genome sequence allows identification of all the genes involved in starch biosynthesis or mobilization, and examination of each function individually and within the metabolic network. 
        The study focuses on 28 genes, those involved after the production of the glucosyl unit donor.  The gene set includes starch synthases, branching enzymes, debranching enzymes, a-amylases, b-amylases, disproportionating enzymes, and starch phosphorylases.  In each instance the genome sequence predicts multiple isoforms.  We propose that most isoforms have specific roles in creating or dismantling the molecular architecture of starch, and that many components of the network act via direct functional interactions, rather than in a series of independent enzymatic steps.  The specific aims are as follows.
    1)   Tools will be created, including (a) mutants defective for each gene in the network, (b) isoform-specific antibodies for each protein, and (c) E. coli strains overexpressing each protein.
    2)   Starch biosynthesis and degradation will be characterized in each mutant via structural and metabolic analyses.
    3)   Effects of each mutation on the complement of specific enzyme isoforms will be determined using high-resolution, two-dimensional zymograms.
    4)   Proteins in the study set will be tested for physical interaction with other components of the network.
    5)   The tissues in which each gene is expressed will be identified.
    6)   Effects of each mutation on expression of other Arabidopsis genes will be examined by global mRNA profiling.