The National Science Foundation awarded a $548,102 project grant under the Engineering (47.041) program to the University of Texas at Austin to develop a predictive framework for understanding how bacteria sense and respond to surface mechanics upon attachment. The three-year award beginning April 1, 2022 will support research using atomic force microscopy, high-throughput culturing, finite element modeling, quantitative confocal microscopy, and genetic manipulation to characterize the stresses, deformations, intracellular and intercellular signaling of various bacteria species—including Pseudomonas aeruginosa, Escherichia coli, Bacillus subtilis, and Staphylococcus aureus—when attaching to substrates with different surface chemistries and elasticities. A $TBD subaward was provided to the University of Texas Rio Grande Valley to support developing the predictive framework. The research aims to establish basic scientific knowledge that can inform designing surfaces resistant to biofilm formation and thereby benefit public health and infrastructure sectors impacted by microbial fouling and corrosion.
Mod # | Description | Reason For Modification | Federal Obligation (Click to sort descending) | Date (Click to sort ascending) |
|---|---|---|---|---|
| Not listed | $548.1k | 4/6/22 |
Grant Number | Description | Subgrantee | Prime Award | Dollars Obligated (Click to sort descending) | Updated At (Click to sort ascending) |
|---|---|---|---|---|---|
UTAUSSUB00000494S | The University Of Texas RIO Grande Valley | Project Grant 2150878 | $82.3k | 1/27/23 |