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dc.contributor.authorLaeverenz-Schlogelhofer, H
dc.contributor.authorWan, KY
dc.date.accessioned2024-10-03T08:51:54Z
dc.date.issued2024-01-17
dc.date.updated2024-10-02T19:46:21Z
dc.description.abstractDiverse animal species exhibit highly stereotyped behavioral actions and locomotor sequences as they explore their natural environments. In many such cases, the neural basis of behavior is well established, where dedicated neural circuitry contributes to the initiation and regulation of certain response sequences. At the microscopic scale, single-celled eukaryotes (protists) also exhibit remarkably complex behaviors and yet are completely devoid of nervous systems. Here, to address the question of how single cells control behavior, we study locomotor patterning in the exemplary hypotrich ciliate Euplotes, a highly polarized cell, which actuates a large number of leg-like appendages called cirri (each a bundle of ∼25-50 cilia) to swim in fluids or walk on surfaces. As it navigates its surroundings, a walking Euplotes cell is routinely observed to perform side-stepping reactions, one of the most sophisticated maneuvers ever observed in a single-celled organism. These are spontaneous and stereotyped reorientation events involving a transient and fast backward motion followed by a turn. Combining high-speed imaging with simultaneous time-resolved electrophysiological recordings, we show that this complex coordinated motion sequence is tightly regulated by rapid membrane depolarization events, which orchestrate the activity of different cirri on the cell. Using machine learning and computer vision methods, we map detailed measurements of cirri dynamics to the cell's membrane bioelectrical activity, revealing a differential response in the front and back cirri. We integrate these measurements with a minimal model to understand how Euplotes-a unicellular organism-manipulates its membrane potential to achieve real-time control over its motor apparatus.en_GB
dc.description.sponsorshipEuropean Research Council (ERC)en_GB
dc.format.extent697-709.e6
dc.identifier.citationVol. 34 (4), pp. 697-709.e6en_GB
dc.identifier.doihttps://doi.org/10.1016/j.cub.2023.12.051
dc.identifier.grantnumber853560en_GB
dc.identifier.urihttp://hdl.handle.net/10871/137591
dc.identifierORCID: 0000-0003-2958-5711 (Laeverenz-Schlogelhofer, Hannah)
dc.identifierORCID: 0000-0002-0291-328X (Wan, Kirsty Y)
dc.language.isoenen_GB
dc.publisherCell Pressen_GB
dc.relation.urlhttps://www.ncbi.nlm.nih.gov/pubmed/38237598en_GB
dc.rights© 2023 The Authors. Published by Elsevier Inc. This is an open access article distributed under the terms of the Creative Commons CC-BY license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.en_GB
dc.subjectCiliateen_GB
dc.subjectProtistsen_GB
dc.subjectLocomotionen_GB
dc.subjectCiliaen_GB
dc.subjectBioelectricityen_GB
dc.subjectElectrophysiologyen_GB
dc.subjectGaiten_GB
dc.subjectMotilityen_GB
dc.subjectCellular behavioren_GB
dc.subjectBiological computationen_GB
dc.titleBioelectric control of locomotor gaits in the walking ciliate Euplotesen_GB
dc.typeArticleen_GB
dc.date.available2024-10-03T08:51:54Z
dc.identifier.issn0960-9822
exeter.place-of-publicationEngland
dc.descriptionThis is the final version. Available on open access from Cell Press via the DOI in this record. en_GB
dc.descriptionData and code availability. Membrane potential recordings, waveform data, and trajectory data have been deposited at Zenodo. DOIs are listed in the key resources table. All other data, including the video recordings, acquired as part of this study will be shared by the lead contact upon request. Original code has been deposited at Zenodo and is publicly available as of the date of publication. DOIs are listed in the key resources table. Any additional information required to reanalyze the data reported in this paper is available from the lead contact upon request.en_GB
dc.identifier.eissn1879-0445
dc.identifier.journalCurrent Biologyen_GB
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_GB
dcterms.dateAccepted2023-12-18
rioxxterms.versionVoRen_GB
rioxxterms.licenseref.startdate2024-01-17
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2024-10-03T08:33:33Z
refterms.versionFCDVoR
refterms.dateFOA2024-10-03T08:52:26Z
refterms.panelBen_GB
refterms.dateFirstOnline2024-01-17


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© 2023 The Authors. Published by Elsevier Inc. This is an open access article distributed under the terms of the Creative Commons CC-BY license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Except where otherwise noted, this item's licence is described as © 2023 The Authors. Published by Elsevier Inc. This is an open access article distributed under the terms of the Creative Commons CC-BY license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.