Advances in proteomic technologies and their scope of application in understanding plant–pathogen interactions
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Proteomics, one of the major tools of ‘omics’ is evolving phenomenally since the development and application of two-dimensional gel electrophoresis coupled with mass spectrometry at the end of twentieth century. However, the adoption and application of advanced proteomic technologies in understanding plant–pathogen interactions are far less, when compared to their application in other related fields of systems biology. Hence, this review is diligently focused on the advances in various proteomic approaches and their gamut of applications in different facets of phyto-pathoproteomics. Especially, the scope and application of proteomics in understanding fundamental concepts of plant–pathogen interactions such as identification of pathogenicity determinants (effector proteins), disease resistance proteins (resistance and pathogenesis-related proteins) and their regulation by post-translational modifications have been portrayed. This review, for the first time, presents a critical appraisal of various proteomic applications by assessing all phyto-pathoproteomics-related research publications that were published in peer-reviewed journals, during the period 2000–2016. This assessment has revealed the present status and contribution of proteomic applications in different categories of phyto-pathoproteomics, namely, cellular components, host–pathogen interactions, model and non-model plants, and utilization of different proteomic approaches. Comprehensively, the analysis highlights the burgeoning application of global proteome approaches in various crop diseases, and demand for acceleration in deploying advanced proteomic technologies to thoroughly comprehend the intricacies of complex and rapidly evolving plant–pathogen interactions.
KeywordsPhyto-pathoproteomics Plant–pathogen interactions Global proteome analysis Targeted proteome analysis
Two-dimensional gel electrophoresis–mass spectrometry
Low abundant peptides
Pathogen associated molecular patterns
Pattern recognition receptors
The authors would like to express their gratitude to Indian Council of Agricultural Research (ICAR), New Delhi. The authors thank Director, ICAR-Sugarcane Breeding Institute for providing facilities and continuous encouragement. We also place on record our sincere thanks to Department of Science and Technology, Govt. of India for the support. The authors are indebted to INPPO (http://www.inppo.com/) for their support and encouragement.
Compliance with ethical standards
Conflict of interest
The authors declare that they do not have any conflict of interest.
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