bioRxivMicrobiology
Phosphorylation on PstP regulates cell wall metabolism and antibiotic tolerance in Mycobacterium smegmatis
F. Shamma, K. Papavinasasundaram, S. Y. Quintanilla, A. Bandekar, C. M. Sassetti, C. C. Boutte
Abstract
Mycobacterium tuberculosis and its relatives, like many bacteria, have dynamic cell walls that respond to environmental stresses. Modulation of cell wall metabolism in stress is thought to be responsible for decreased permeability and increased tolerance to antibiotics. The signaling systems that control cell wall metabolism under stress, however, are poorly understood. Here, we examine the cell wall regulatory function of a key cell wall regulator, the Serine Threonine Phosphatase PstP, in the model organism Mycobacterium smegmatis. We show that the peptidoglycan regulator CwlM is a substrate of PstP. We find that a phospho-mimetic mutation, pstP T171E, slows growth, mis-regulates both mycolic acid and peptidoglycan metabolism in different conditions, and interferes with antibiotic tolerance. These data suggest that phosphorylation on PstP affects its activity against various substrates and is important in the transition between growth and stasis. ImportanceRegulation of cell wall assembly is essential for bacterial survival and contributes to pathogenesis and antibiotic tolerance in mycobacteria, including pathogens such as Mycobacterium tuberculosis. However, little is known about how the cell wall is regulated in stress. We describe a pathway of cell wall modulation in Mycobacterium smegmatis through the only essential Ser/Thr phosphatase, PstP. We showed that phosphorylation on PstP is important in regulating peptidoglycan metabolism in the transition to stasis and mycolic acid metabolism in growth. This regulation also affects antibiotic tolerance in growth and stasis. This work helps us to better understand the phosphorylation-mediated cell wall regulation circuitry in Mycobacteria.
- organism: mouse
- assay: proteomics
- research focus: cell type annotation
- research focus: gene regulatory network inference
- research focus: drug response / drug discovery
- approach: genetic perturbation / CRISPR
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