Characterization of Plant-Bacterial Interactions Using Proteomic Approaches
Owen Z. Woody,
Bernard R. Glick,
Brendan J. McConkey.
The explosion in the amount of genomic information available has revolutionized almost every aspect of the life sciences including proteomics. In tandem with advances in genomics, considerable developments in proteomic tools and technologies have greatly facilitated the application of proteomics to tackle numerous biological questions. Many measurable characteristics of proteins, including expression levels, cellular distributions, interactions with other molecules, and post-translational modifications, influence and direct their functions in various cellular processes. Proteomic techniques, such as comparative proteomics, mass spectrometry-based identification of post-translational modifications, and protein arrays, can be employed to study these aspects of proteins in a “host plus microbes” setting and in turn shed light on their interactions. This review summarizes the proteomic techniques applicable to host-microbial relations, with a particular focus on plant-bacterial interactions. This article also provides a comprehensive overview of the applications of proteomics in plant-bacterial interactions, including some of the most recent progress in the field.
Keywords: Plant, bacteria, pathogen, symbiosis, proteomics, phosphorylation, Arabidopsis thaliana, Oryza sativa, Mycoplasma pneumoniae, two-dimensional electrophoresis, difference in-gel electrophoresis, plant growth-promoting bacteria, Erwinia chrysanthemi, Pectobacterium atrosepticum, isotope-coded affinity tag, Lycopersicon hirsutum, Medicago truncatula, Agrobacterium tumefaciens, Bradyrhizobium japonicum, Methylobacterium extorquens, Drosophila melanogaster, Nostoc punctiforme, Sinorhizobium meliloti, mitogenactivated protein kinases, calciumdependent protein kinases, pathogen-associated molecular pattern, AQUA, absolute quantification, CDPK, calcium-dependent protein kinase, XIC, extracted ion chromatogram, FDR, false discovery rate, PAIs, Protein abundance indices
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