This application describes broadly based biophysical characterization of two important aspects of bacterial cell physiology. First, the dynamics of the entire E. coli proteome will be quantified as a function of growth rate and nutrient limitation, including measurement of protein turnover. The set of bacterial proteins are carefully controlled to optimize the fitness and growth of bacteria under a wide variety of conditions. The amount of protein devoted to various biosynthetic pathway varies in a defined way that can be simply modeled as an economic allocation problem. Second, the process of ribosome assembly will be investigated using electron microscopy, mass spectrometry, single molecule fluorescence, and light microscopy. Electron microscopy of intermediates that accumulate under perturbed conditions reveals a distribution of structures that can be ordered into a putative assembly pathway. Single molecule fluorescence allows the monitoring of individual steps in the complex assembly process. Finally, we will extend the in vitro studies toward studying the ultrastructure of the locus of ribosome assembly in cells, using a combination of light microscopy and cryo-electron tomography. The overall goal is to develop a complete mechanistic framework for assembly of the largest cellular machine, that is responsible for all protein synthesis, and that requires almost a third of the energy budget for a rapidly dividing cell.

Public Health Relevance

This grant application describes broadly based biophysical characterization of two important aspects of bacterial cell physiology. First, we will investigate the macroeconomic principles of proteome allocation by bacteria in response to different environmental challenges. Second, we will investigate the assembly of bacterial ribosomes, which is a key cellular process to produce the macromolecular machine that synthesizes all proteins in the cell.

Agency
National Institute of Health (NIH)
Institute
National Institute of General Medical Sciences (NIGMS)
Type
Unknown (R35)
Project #
1R35GM136412-01
Application #
9932139
Study Section
Special Emphasis Panel (ZRG1)
Program Officer
Brown, Anissa F
Project Start
2020-04-01
Project End
2025-03-31
Budget Start
2020-04-01
Budget End
2021-03-31
Support Year
1
Fiscal Year
2020
Total Cost
Indirect Cost
Name
Scripps Research Institute
Department
Type
DUNS #
781613492
City
La Jolla
State
CA
Country
United States
Zip Code
92037