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Nutrient Gradients Mediate Complex Colony-Level Antibiotic Responses in Structured Microbial Populations.
Stevanovic, Mirjana; Boukéké-Lesplulier, Thomas; Hupe, Lukas; Hasty, Jeff; Bittihn, Philip; Schultz, Daniel.
Afiliação
  • Stevanovic M; Department of Microbiology and Immunology, Geisel School of Medicine at Dartmouth, Hanover, NH, United States.
  • Boukéké-Lesplulier T; Max Planck Institute for Dynamics and Self-Organization, Göttingen, Germany.
  • Hupe L; École Normale Supérieure de Lyon, Université Claude Bernard Lyon 1, Université de Lyon, Lyon, France.
  • Hasty J; Max Planck Institute for Dynamics and Self-Organization, Göttingen, Germany.
  • Bittihn P; Institute for the Dynamics of Complex Systems, University of Göttingen, Göttingen, Germany.
  • Schultz D; BioCircuits Institute, Division of Biological Sciences, University of California, San Diego, La Jolla, CA, United States.
Front Microbiol ; 13: 740259, 2022.
Article em En | MEDLINE | ID: mdl-35572643
Antibiotic treatments often fail to eliminate bacterial populations due to heterogeneity in how individual cells respond to the drug. In structured bacterial populations such as biofilms, bacterial metabolism and environmental transport processes lead to an emergent phenotypic structure and self-generated nutrient gradients toward the interior of the colony, which can affect cell growth, gene expression and susceptibility to the drug. Even in single cells, survival depends on a dynamic interplay between the drug's action and the expression of resistance genes. How expression of resistance is coordinated across populations in the presence of such spatiotemporal environmental coupling remains elusive. Using a custom microfluidic device, we observe the response of spatially extended microcolonies of tetracycline-resistant E. coli to precisely defined dynamic drug regimens. We find an intricate interplay between drug-induced changes in cell growth and growth-dependent expression of resistance genes, resulting in the redistribution of metabolites and the reorganization of growth patterns. This dynamic environmental feedback affects the regulation of drug resistance differently across the colony, generating dynamic phenotypic structures that maintain colony growth during exposure to high drug concentrations and increase population-level resistance to subsequent exposures. A mathematical model linking metabolism and the regulation of gene expression is able to capture the main features of spatiotemporal colony dynamics. Uncovering the fundamental principles that govern collective mechanisms of antibiotic resistance in spatially extended populations will allow the design of optimal drug regimens to counteract them.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2022 Tipo de documento: Article