Our Approach
"Balance of the Microverse" aims to predict the dynamics of microbial communities, using precision mechanics to guide them to their functional optimum. Focusing on Signals, Structures, and Transitions, we seek to understand microbial interactions and their ecological and host system impacts. This approach fosters innovative interventions and applications to maintain and restore the Balance of the Microverse.
Research Areas
Signals
Our research delves into the intricate ways microbes produce, decode, and respond to a spectrum of context-dependent signals, including both low molecular weight compounds and signaling biomacromolecules. We aim to unravel the complex interactions in microbial communities, exploring how microbes recognize and react to mixed signals and the resulting community dynamics.
Structures
We investigate the compositional and spatial structures of microbial communities and their influence on functions and stability across local, inter-local, and global levels — alpha, beta, and gamma diversity, respectively. We aim to uncover how these structures originate and their role in shaping microbial dynamics within the microverse, focusing on the interplay of ecological and evolutionary processes.
Transitions
Our research examines how microbial communities transition between states, affecting microbiome function and health. We focus on identifying critical factors influencing microbiome stability, resilience, and tipping points, using model systems and clinical data to uncover what drives changes from health to disease. This knowledge will improve our ability to predict and manage microbiome transitions, promoting better health outcomes and ecosystem stability.