Molecular methods as tools to control plant diseases caused by Dickeya and Pectobacterium spp: A minireview

Publication date: Available online 25 August 2017
Source:New Biotechnology
Author(s): Agata Motyka, Sabina Zoledowska, Wojciech Sledz, Ewa Lojkowska
Dickeya spp. and Pectobacterium spp. are etiological agents of soft rot on crops, vegetables, and ornamentals. They also cause blackleg on potato. These pectinolytic phytopathogens are responsible for significant economic losses, mostly within the potato production sector. Importantly, there are no methods to eradicate these microorganisms once they have infected plant material. Solely preventive measures remain, including early detection and identification of the pathogens, monitoring of their spread in addition to planting certified seed material tested for latent infections. As proper identification of the causative agent allows for efficient limitation of disease spread, numerous detection and differentiation methods have been developed. Most commonly followed procedures involve: isolation of viable bacterial cells (alternatively post-enrichment) on semi-selective media, identification to species level by PCR (single, multiplex, Real time), serology or fatty acids profiling. Differentiation of the isolates is often accomplished by sequencing the housekeeping genes or molecular fingerprinting. In view of lowering total costs of next-generation sequencing (NGS),a huge amount of generated data reveals subtle differences between strains that have proven to be potentially useful for the establishment of specific novel detection pipelines. Successful implementation of molecular diagnostic methods is exemplified by 20-year studies on the populations of pectinolytic bacteria on potatoes in Poland. The presented work aims to gather the characteristics of Dickeya spp. and Pectobacterium spp. important for the identification process in addition to providing an overview of modern and newly developed specific, rapid, high-throughput and cost-effective screening methods for the detection and identification of these phytopathogens.



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