Proteomic Studies Revealing Enigma of Plant–Pathogen Interaction
| Autor: | Garvita Singh, Shachi Agrawal, Prem Kumar Gupta, Anjana Rustagi |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
0106 biological sciences
0301 basic medicine Cellular process Genomics Computational biology Biology Proteomics 01 natural sciences Defence response 03 medical and health sciences 030104 developmental biology Molecular mechanism Protein microarray Signal transduction Pathogen 010606 plant biology & botany |
| Zdroj: | Molecular Aspects of Plant-Pathogen Interaction ISBN: 9789811073700 |
| DOI: | 10.1007/978-981-10-7371-7_11 |
| Popis: | Pathogen attack is an intricate stimulus that induces stepwise defence response, namely, pathogen recognition, signal transduction and accomplishment of resistance/defense. These steps employ an array of proteins, interacting among themselves to sense the pathogen and produce antimicrobials antagonistic to pathogen growth. In order to gain insights in molecular mechanism of plant–pathogen interaction at the biochemical and cellular level, deciphering the proteins that are involved in this cellular medley is a prerequisite. Proteomics, one of the important subjects of “OMICS” generation, has played a principal role in the identification of these proteins. Proteomics aims at identification and quantification of the proteins mediating a specific cellular process. While the current proteomic studies give valid information about these processes, they also emphasize upon the significance of post-translational modifications. The information on sequence and post-translational modifications of proteins is then used to further decipher the biological processes using bioinformatics, genomics, cell biology, biochemistry and other areas of life sciences. We present a brief overview of the proteomic studies related to host–virus, host–bacteria and host–fungus interaction. We also provide the current stage of information on the techniques applied in proteomics and also the future challenges in this area of biological science. |
| Databáze: | OpenAIRE |
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