Theoretical and experimental approaches to understand the biosynthesis of starch granules in a physiological context.

Barbara Pfister, Samuel C Zeeman, Michael D Rugen, Robert A Field, Oliver Ebenhöh, Adélaïde Raguin

Journal: Photosynthesis research 2021;145(1):55-70

PMID: 31955343

Abstract

Starch, a plant-derived insoluble carbohydrate composed of glucose polymers, is the principal carbohydrate in our diet and a valuable raw material for industry. The properties of starch depend on the arrangement of glucose units within the constituent polymers. However, key aspects of starch structure and the underlying biosynthetic processes are not well understood, limiting progress towards targeted improvement of our starch crops. In particular, the major component of starch, amylopectin, has a complex three-dimensional, branched architecture. This architecture stems from the combined actions of a multitude of enzymes, each having broad specificities that are difficult to capture experimentally. In this review, we reflect on experimental approaches and limitations to decipher the enzymes' specificities and explore possibilities for in silico simulations of these activities. We believe that the synergy between experimentation and simulation is needed for the correct interpretation of experimental data and holds the potential to greatly advance our understanding of the overall starch biosynthetic process. We furthermore propose that the formation of glucan secondary structures, concomitant with its synthesis, is a previously overlooked factor that directly affects amylopectin architecture through its impact on enzyme function.

Address: Department of Biology, Institute of Molecular Plant Biology, ETH Zurich, 8092, Zurich, Switzerland.; Department of Biological Chemistry, John Innes Centre, Norwich Research Park, Norwich, NR4 7UH, UK.; Department of Biology, Institute of Quantitative and Theoretical Biology, Heinrich-Heine University, 40225, Düsseldorf, Germany.; Department of Biology, Cluster of Excellence on Plant Sciences, Institute of Quantitative and Theoretical Biology, Heinrich-Heine University, 40225, Düsseldorf, Germany.; Department of Biology, Institute of Quantitative and Theoretical Biology, Heinrich-Heine University, 40225, Düsseldorf, Germany. [email protected].
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