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ARS Home » Northeast Area » Ithaca, New York » Robert W. Holley Center for Agriculture & Health » Emerging Pests and Pathogens Research » Research » Publications at this Location » Publication #362017
Research Project: Characterization of Molecular Networks in Diseases Caused by Emerging and Persistent Bacterial Plant Pathogens

Location: Emerging Pests and Pathogens Research

Title: Searching for host resistance: studying early potato stem response to Dickeya inoculation via RNA-seq

Author
item LIU, YINGYU - Cornell University
item BAO, KAN - Boyce Thompson Institute
item FEI, ZHANGJUN - Boyce Thompson Institute
item Filiatrault, Melanie

Submitted to: International Congress on Molecular Plant-Microbe Interactions
Publication Type: Abstract Only
Publication Acceptance Date: 4/29/2019
Publication Date: 5/17/2019
Citation: Liu, Y., Bao, K., Fei, Z., Filiatrault, M.J. 2019. Searching for host resistance: studying early potato stem response to Dickeya inoculation via RNA-seq. International Congress on Molecular Plant-Microbe Interactions. 48:1.

Interpretive Summary:

Technical Abstract: Dickeya spp. are necrotrophic bacterial pathogens that can cause blackleg disease on potatoes. The blackleg disease has resulted in significant economic losses in the United States and continues to devastate the potato industry. Breeding for resistance to blackleg in commercial potato cultivars is difficult due to the limited knowledge of the host-microbe interactions in this pathosystem. We conducted global transcriptomic analysis to understand the molecular interactions between Dickeya dadantii 3937 and susceptible or tolerant diploid potatoes. One-month old potato stems were inoculated with D. dadantii suspension or mock buffer and stem tissues were harvested at 0 and 12-hour post inoculation (hpi). RNAs from two biological replicates per potato line per time point were subjected to RNA sequencing and subsequent computational analyses. Overall, 1328 differentially expressed genes (DEGs) were detected at 12 hpi when comparing susceptible and tolerant plants. Of those 1328 genes, 512 DEGs were unique to infected plants vs mock inoculated. Gene ontology and cluster analyses revealed different enriched terms and different gene expression patterns when comparing the expression profiles between tolerant and susceptible potatoes. Our study of potato global gene expression patterns will provide critical information to facilitate the development of novel disease management strategies and accelerate disease-resistance potato breeding processes.