Understanding the interactions of plants with beneficial and pathogenic microbes is a promising avenue to improve crop productivity and agriculture sustainability. Proteomic techniques provide a unique angle to describe these intricate interactions and test hypotheses. The various approaches for proteomic analysis generally include protein/peptide separation and identification, but can also provide quantification and the characterization of post-translational modifications. In this review, we discuss how these techniques have been applied to the study of plant–microbe interactions. We also present some areas where this field of study would benefit from the utilization of newly developed methods that overcome previous limitations. Finally, we reinforce the need for expanding, integrating, and curating protein databases, as well as the benefits of combining protein-level datasets with those from genetic analyses and other high-throughput large-scale approaches for a systems-level view of plant–microbe interactions.
Keywords: proteomics, plants, symbiosis, defense, signaling, microbes
Citation: Jayaraman D, Forshey KL, Grimsrud PA and Ané J-M (2012) Leveraging proteomics to understand plant–microbe interactions. Front. Plant Sci. 3:44. doi: 10.3389/fpls.2012.00044
Received: 20 January 2012; Paper pending published: 06 February 2012;
Accepted: 21 February 2012; Published online: 08 March 2012.
Edited by:Jay Thelen, University of Missouri, USA
Copyright: © 2012 Jayaraman, Forshey, Grimsrud and Ané. This is an open-access article distributed under the terms of the Creative Commons Attribution Non Commercial License, which permits non-commercial use, distribution, and reproduction in other forums, provided the original authors and source are credited.
*Correspondence: Jean-Michel Ané, Department of Agronomy, University of Wisconsin Madison, 1575 Linden Drive, Madison, WI 53706, USA. e-mail: email@example.com