Phenotyping single-cell motility in microfluidic confinement.

Autor:	Bentley SA; Living Systems Institute, University of Exeter, Exeter, United Kingdom.; Mathematics and Statistics, University of Exeter, Exeter, United Kingdom.; Biosciences, University of Exeter, Exeter, United Kingdom., Laeverenz-Schlogelhofer H; Living Systems Institute, University of Exeter, Exeter, United Kingdom.; Mathematics and Statistics, University of Exeter, Exeter, United Kingdom., Anagnostidis V; Living Systems Institute, University of Exeter, Exeter, United Kingdom.; Biosciences, University of Exeter, Exeter, United Kingdom.; Physics and Astronomy, University of Exeter, Exeter, United Kingdom., Cammann J; Interdisciplinary Centre for Mathematical Modelling and Department of Mathematical Sciences, Loughborough University, Loughborough, United Kingdom., Mazza MG; Interdisciplinary Centre for Mathematical Modelling and Department of Mathematical Sciences, Loughborough University, Loughborough, United Kingdom.; Max Planck Institute for Dynamics and Self-Organization (MPIDS), Göttingen, Germany., Gielen F; Living Systems Institute, University of Exeter, Exeter, United Kingdom.; Physics and Astronomy, University of Exeter, Exeter, United Kingdom., Wan KY; Living Systems Institute, University of Exeter, Exeter, United Kingdom.; Mathematics and Statistics, University of Exeter, Exeter, United Kingdom.
Jazyk:	angličtina
Zdroj:	ELife [Elife] 2022 Nov 23; Vol. 11. Date of Electronic Publication: 2022 Nov 23.
DOI:	10.7554/eLife.76519
Abstrakt:	The movement trajectories of organisms serve as dynamic read-outs of their behaviour and physiology. For microorganisms this can be difficult to resolve due to their small size and fast movement. Here, we devise a novel droplet microfluidics assay to encapsulate single micron-sized algae inside closed arenas, enabling ultralong high-speed tracking of the same cell. Comparing two model species - Chlamydomonas reinhardtii (freshwater, 2 cilia), and Pyramimonas octopus (marine, 8 cilia), we detail their highly-stereotyped yet contrasting swimming behaviours and environmental interactions. By measuring the rates and probabilities with which cells transition between a trio of motility states (smooth-forward swimming, quiescence, tumbling or excitable backward swimming), we reconstruct the control network that underlies this gait switching dynamics. A simplified model of cell-roaming in circular confinement reproduces the observed long-term behaviours and spatial fluxes, including novel boundary circulation behaviour. Finally, we establish an assay in which pairs of droplets are fused on demand, one containing a trapped cell with another containing a chemical that perturbs cellular excitability, to reveal how aneural microorganisms adapt their locomotor patterns in real-time. Competing Interests: SB, HL, VA, JC, MM, FG, KW No competing interests declared (© 2022, Bentley, Laeverenz-Schlogelhofer et al.)
Databáze:	MEDLINE
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