Phytomicrobiome Interactions and Sustainable Agriculture. Группа авторов

Phytomicrobiome Interactions and Sustainable Agriculture - Группа авторов


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are to happen to manifest a plant's invasion by the pathogen. This series of events may be termed as the disease triangle where disease can manifest due to a pathogen if and only if there is appropriate feedback of the responses for the entry of the pathogen into the plant and for that the environmental conditions must be suitable. Plants' obligation as host to a vast array of pathogens such as bacteria, fungi, nematodes, viruses, etc., is a well‐understood concept (Dangl and Jones 2001).

      According to a study where the infection caused by the tobacco mosaic virus (TMV) on the hot pepper plant was analyzed. It was found that this cultivar was resistant against TMV‐P0 and susceptible to the TMV‐P1.2 strain. Upon proteome analysis using 2DE followed by MALDI‐TOF MS, it was found that certain proteins present in hot pepper provided defense against the 26S proteasome RPN7 subunit of TMV=P0. The defenses generated were to initiate Rab 11 GTPase responsible membrane trafficking, i.e. exo and endocytosis, RNA metabolism interference caused to mRNA binding protein, and activation of program cell death pathways (Lee et al. 2009).

      The plant–pathogen interaction studies are still quite nascent yet plant fungus interactions have been explored the most through proteomic analysis. Fungal infections are the most prevalent in plant hosts. However, the proteomic study of the fungal proteins encoded by a well‐sequenced genome poses one of the greatest challenges. The fungal system regulates several host defenses to enhance its activity as inferred by proteome analysis (Murad et al. 2006, 2007). The rust disease is one of the leading causes of loss to cereals worldwide. One study was conducted on the wheat leaf rust fungus using proteomic tools to assess the disease progression at the molecular level. Susceptible wheat cultivars were exposed to the virulent strain of Puccinia triticina where 2DE and MS analysis were used to derive the result. Result analysis revealed 22 distinct proteins involved in pathogenesis with functions of some proteins known and the rest were unknown (Rampitsch et al. 2006; Webb and Feller 2006).

Various Types of Proteomics Approaches List of Interactions Deciphered
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