Jade Wang

    EB Fred Professor of Bacteriology

    Phone

    (608) 263-0307

    Office Location

    6478 Microbial Sciences Building

    Image of Jade Wang

    Cellular processes such as replication, transcription, translation, and metabolism take place concurrently within the complex cellular environment, occupying nearby space and competing for energy and resources, and thus have intrinsic conflicts with each other. Bacteria frequently encounter stresses including nutrient starvation and antibiotic assault, which could easily throw their intracellular environment into conflict and chaos. To survive and to adapt, bacteria developed mechanisms to rapidly signal different types of stress, to coordinate intracellular processes and to mitigate stress-induced conflicts. The central theme of our research is to elucidate these important, ill-understood signaling and coordination mechanisms. We combine genetics and biochemistry with high-throughput approaches for understanding the molecular details and network properties of stress signaling, regulation and evolution. Our goal is to establish fundamental principles using model organisms such as the Gram-positive bacterium Bacillus subtilis and the Gram-negative bacterium E. coli and apply our research to pathogenic bacteria to solve global issues including widespread antibiotic resistance in pathogens.

    Nucleotide Signaling

    Bacteria have evolved protective networks against diverse stresses such as nutrient starvation, temperature changes, osmotic shifts, and antibiotic stress. The small signaling molecules are important components of this protective network. Results from my lab suggest that small molecules, including the starvation-signaling nucleotide (p)ppGpp and nucleotides AppppA, ppApp, and c-di-AMP, induce rapid and coordinated changes in cellular metabolism. Failure of metabolic regulation by signaling nucleotides results in metabolic conflict and cellular toxicity. We are systematically characterizing signaling molecule-proteome interactions, pinpointing the molecular details of allosteric enzyme regulations underlying the metabolic network, and characterizing how the metabolic network enables homeostatic control principles and rapid adjustment of cellular coordination in diverse environments.

    Coordination of macromolecular machines and genome evolution

    A central component of bacterial stress response is coordination between macromolecular machineries. Bacteria accurately duplicate and process their genetic information using macromolecular machines including the replisome, the transcription complex, and the ribosome. The signaling nucleotide (p)ppGpp not only regulates metabolism but also directly regulates the DNA replication primase, transcription factors, and translation machineries, thus coordinating macromolecular machines. Importantly, we unraveled the detrimental consequences of failure to coordinate macromolecular machines: stress-induced physical conflicts between replication and transcription machineries that threaten genome integrity.  Our current goals are to pinpoint the impact of conflicts on genome evolution, elucidate multifaceted coordination of machineries beyond replication and transcription, and characterize conflict-resolution pathways.

    Microbial 470: Microbial Genetics and Molecular Machines

    • 2022, UW-Madison Vilas Associate Award
    • 2018, Elected Fellow, American Academy of Microbiology
    • 2017, Romnes Faculty Fellowship Award
    • 2016, Howard Hughes Medical Institute Faculty Scholar
    • 2011, The American Society for Microbiology Branch Lectureship
    • 2010, Michael E. DeBakey, M.D., Excellence in Research Award, Baylor College of Medicine
    • 2010, Rosalind Franklin Young Investigator Award, Gruber Foundation and the Genetic Society of America
    • 2008, NIH Director’s New Innovator Award

    Start and Promotion Dates

    • Assistant Professor: 2012
    • Associate Professor: 2013
    • Full Professor: 2017

    Education

    B.Sc., Physics, McGill University
    Ph.D., Biochemistry, University of California, San Francisco
    Postdoctoral Research: Massachusetts Institute of Technology