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Bacterial chemotaxis in a microfluidic T-maze reveals strong phenotypic heterogeneity in chemotactic sensitivity.
Salek, M Mehdi; Carrara, Francesco; Fernandez, Vicente; Guasto, Jeffrey S; Stocker, Roman.
  • Salek MM; Ralph M. Parsons Laboratory, Department of Civil and Environmental Engineering, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.
  • Carrara F; Institute for Environmental Engineering, Department of Civil, Environmental and Geomatic Engineering, ETH Zurich, 8093, Zurich, Switzerland.
  • Fernandez V; Ralph M. Parsons Laboratory, Department of Civil and Environmental Engineering, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.
  • Guasto JS; Institute for Environmental Engineering, Department of Civil, Environmental and Geomatic Engineering, ETH Zurich, 8093, Zurich, Switzerland.
  • Stocker R; Ralph M. Parsons Laboratory, Department of Civil and Environmental Engineering, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.
Nat Commun ; 10(1): 1877, 2019 04 23.
Article en En | MEDLINE | ID: mdl-31015402
ABSTRACT
Many microorganisms have evolved chemotactic strategies to exploit the microscale heterogeneity that frequently characterizes microbial habitats. Chemotaxis has been primarily studied as an average characteristic of a population, with little regard for variability among individuals. Here, we adopt a classic tool from animal ecology - the T-maze - and implement it at the microscale by using microfluidics to expose bacteria to a sequence of decisions, each consisting of migration up or down a chemical gradient. Single-cell observations of clonal Escherichia coli in the maze, coupled with a mathematical model, reveal that strong heterogeneity in the chemotactic sensitivity coefficient exists even within clonal populations of bacteria. A comparison of different potential sources of heterogeneity reveals that heterogeneity in the T-maze originates primarily from the chemotactic sensitivity coefficient, arising from a distribution of pathway gains. This heterogeneity may have a functional role, for example in the context of migratory bet-hedging strategies.
Asunto(s)

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Fenotipo / Quimiotaxis / Escherichia coli / Modelos Biológicos Tipo de estudio: Diagnostic_studies / Prognostic_studies Idioma: En Año: 2019 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Fenotipo / Quimiotaxis / Escherichia coli / Modelos Biológicos Tipo de estudio: Diagnostic_studies / Prognostic_studies Idioma: En Año: 2019 Tipo del documento: Article