Poster: Biology & Disease Mgmt: Biological Control
Microbiome networks: A systems framework for identifying candidate microbial assemblages for disease management
R. POUDEL (1), A. Jumpponen (2), D. Schlatter (3), T. Paulitz (3), B. McSpadden Gardener (4), L. Kinkel (5), K. Garrett (1) (1) Plant Pathology Department, Institute for Sustainable Food Systems, and Emerging Pathogens Institute, University of Florida, U.
Network models of soil and plant microbiomes present new opportunities for enhancing disease management, but also challenges for interpretation. We present a framework for interpreting microbiome networks, illustrating how the observed structure of networks can be used to generate testable hypotheses about candidate microbes affecting plant health. The framework includes four types of network analyses. “General network analysis” identifies candidate taxa for maintaining an existing microbial community. “Host-focused analysis” includes a node representing a plant response such as yield, identifying taxa with direct or indirect links to that node, interpreted as either beneficial or detrimental to plant health. “Pathogen-focused analysis” identifies taxa with direct or indirect links to taxon nodes known a priori to represent pathogens, which can be interpreted as agonists and antagonists, respectively. “Disease-focused analysis” identifies key nodes for both plant and pathogen responses. We illustrate the interpretation of network structure with analyses of two microbiomes: the oak phyllosphere and soil associated with the presence or absence of infection by Rhizoctonia solani. Such network analyses can be used to further characterize microbial communities and associated conditions involved in the suppression of plant pathogens, the biofertilization of crop plants, and/or the expression of host resistance in crop plants.