Department of Agronomy, University of Wisconsin Madison Madison, WI, USA.
Front Plant Sci. 2012 Mar 8;3:44. doi: 10.3389/fpls.2012.00044. eCollection 2012.
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.
理解植物与有益和致病微生物的相互作用是提高作物生产力和农业可持续性的一个有前途的途径。蛋白质组学技术为描述这些复杂的相互作用和检验假设提供了一个独特的角度。各种蛋白质组学分析方法通常包括蛋白质/肽的分离和鉴定，但也可以提供定量和翻译后修饰的特征。在这篇综述中，我们讨论了这些技术如何应用于植物-微生物相互作用的研究。我们还介绍了一些领域，在这些领域中，利用克服以前局限性的新开发方法将使该研究领域受益。最后，我们强调了扩展、整合和管理蛋白质数据库的必要性，以及将蛋白质水平数据集与遗传分析和其他高通量大规模方法的数据相结合，以获得对植物-微生物相互作用的系统级视图的好处。
