Bioelectric control of locomotor gaits in the walking ciliate Euplotes

Laeverenz-Schlogelhofer, Hannah; Wan, Kirsty Y.

doi:10.1016/j.cub.2023.12.051

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2024

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Cell motility: Bioelectrical control of behavior without neurons

Larson,

Marshall

2024

Current Biology

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Cell motility: Bioelectrical control of behavior without neurons

Larson,

Marshall

2024

Current Biology

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Electrical signaling and coordinated behavior in the closest relative of animals

Colgren,

Burkhardt

2024

Preprint

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The transition between simple to complex multicellularity involves large degrees of division of labor and specialization of cell types. In animals, complex sensory motor systems are primarily built around the fundamental cell types of muscles and neurons, though the evolutionary origin of these cells, and their integration, remains unclear. Here, in order to investigate sensory-behavior coupling in the closest relatives of animals, we established a line of the choanoflagellate,Salpingoeca rosetta, which stably expresses the calcium indicator RGECO1. Using this, we identify a novel cellular behavior associated with electrical signaling, in which ciliary arrest is coupled with apical-basal contraction of the cell. This behavior, and the associated calcium transients, are synchronized in the multicellular state and result in coordinated ciliary arrest and colony wide contraction, suggesting information is spread amongst the cells. Our work reveals fundamental insights into how choanoflagellates sense and respond to their environment and offer a new perspective into the integration of cellular and organism wide behavior in the closest protistan relatives of animals.

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A QR Code for the Brain: A dynamical systems framework for computing neurophysiological biomarkers

Bosl,

Enlow,

Nelson

2024

Preprint

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Neural circuits are often considered the bridge connecting genetic causes and behavior. Whereas prenatal neural circuits are believed to be derived from a combination of genetic and intrinsic activity, postnatal circuits are largely influenced by exogenous activity and experience. A dynamical neuroelectric field maintained by neural activity is proposed as the fundamental information processing substrate of cognitive function. Time series measurements of the neuroelectric field can be collected by scalp sensors and used to mathematically quantify the essential dynamical features of the neuroelectric field by constructing a digital twin of the dynamical system phase space. The multiscale nonlinear values that result can be organized into tensor data structures, from which latent features can be extracted using tensor factorization. These latent features can be mapped to behavioral constructs to derive digital biomarkers. This computational framework provides a robust method for incorporating neurodynamical measures into neuropsychiatric biomarker discovery.

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Bioelectric control of locomotor gaits in the walking ciliate Euplotes

Cited by 3 publications

References 100 publications

Cell motility: Bioelectrical control of behavior without neurons

Cell motility: Bioelectrical control of behavior without neurons

Electrical signaling and coordinated behavior in the closest relative of animals

A QR Code for the Brain: A dynamical systems framework for computing neurophysiological biomarkers

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