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Understanding and predicting PATHOgen COMmunities

Objective

Infectious disease is often the major selective agent in nature, and we cannot understand how populations evolve without understanding their pathogenic microbes. Beyond host immunity, an important factor determining the ability of pathogens to invade and proliferate in a host is the resident microbiota, but we are only beginning to glimpse its multifarious impacts. We know even less about interactions among pathogenic microbes themselves. Any effort to explain how pathogen communities, or pathobiota, develop within a host requires knowledge about the extent to which pathogens engage in competition, commensalism and cooperation, both with other pathogens and the rest of the microbiota. To date, studies of plant-pathogen interactions in the lab and descriptive work in the field have focused on pairwise interactions between one plant host and one pathogen, leaving a large gap in our understanding of how different types of interactions between microbes, and especially pathogens, determine the outcome of host-pathogen interactions in the real world. In PATHOCOM, we will implement a program that integrates large-scale field observations of microbes in the plant Arabidopsis thaliana with ultra-high-throughput experimental tests of host-dependent interactions among microbes, allowing experiment-informed modeling of pathogenic microbe-microbe interactions. These models, which will be improved through an iterative process of data collection with synthetic communities, will illuminate how interactions, from pairwise to higher-order, shape microbial community composition and structure. In the final step, the resulting models will be tested against and refined with field data. Together, these efforts will transform the study of plant pathogens by applying deep analyses of microbial interactions in an ecological context to explain patterns in nature. Ultimately, PATHOCOM will play an essential role in refashioning plant-pathogen-microbiome studies into a predictive science.

Call for proposal

ERC-2020-SyG
See other projects for this call

Host institution

MAX-PLANCK-GESELLSCHAFT ZUR FORDERUNG DER WISSENSCHAFTEN EV
Address
Hofgartenstrasse 8
80539 Munchen
Germany
Activity type
Research Organisations
EU contribution
€ 2 742 525

Beneficiaries (3)

MAX-PLANCK-GESELLSCHAFT ZUR FORDERUNG DER WISSENSCHAFTEN EV
Germany
EU contribution
€ 2 742 525
Address
Hofgartenstrasse 8
80539 Munchen
Activity type
Research Organisations
CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE CNRS
France
EU contribution
€ 3 345 560
Address
Rue Michel Ange 3
75794 Paris
Activity type
Other
NEW YORK UNIVERSITY
United States
EU contribution
€ 3 857 659
Address
70 Washington Square South
10003 1526 New York
Activity type
Higher or Secondary Education Establishments