Big data analytics in Ralstonia solanacearum genomics

Abstract

Ralstonia solanacearum is a phyto pathogen that causes bacterial wilt disease. The pathogen is widely spread throughout the globe infecting over 200 species in about 50 plant families. It is a soil borne phyto-pathogen. This species complex consists of thousands of different strains of bacterial pathogens with a very vast range of plant hosts from banana, potato, brinjal to tomato, tobacco and olives. The strains with genetic variations have been divided into four phylotypes: phylotype I, phylotype II A and II B, phylotype III, and phylotype IV. The pathogen is extremely difficult to combat as there is no effective control method. Rapid progress in high throughput whole genome sequencing technology has contributed towards generating enormous amount of Big data. Genomics revolution has provided whole genome sequence data of several strains of Ralstonia and techniques from Big data analytics, contributed to remarkable progress in the field of Ralstonia genomics. Big data analytics is widely used in different research fields due to its efficiency and effectiveness. This paper discusses the outcomes and advantages of Big data analytics in the field of Ralstonia genomics.