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Stochastic motility energetics reveals cooperative bacterial swarming in optical tweezers

dc.contributor.authorLuque-Rioja, Clara
dc.contributor.authorLópez Menéndez, Horacio Pablo Ezequiel
dc.contributor.authorCalero Calero, Macarena
dc.contributor.authorCaselli, Niccolo
dc.contributor.authorHerráez-Aguilar, Diego
dc.contributor.authorMonroy, Francisco
dc.contributor.authorGarcía Villaluenga, Juan Pedro
dc.contributor.authorMonroy Muñoz, Francisco
dc.date.accessioned2026-04-21T10:56:26Z
dc.date.available2026-04-21T10:56:26Z
dc.date.issued2026-01-16
dc.description© 2026 the Author(s).
dc.description.abstractBacterial flagellar swarming enables dense microbial populations to migrate collectively across surfaces, often resulting in emergent, coordinated behaviors. However, probing the underlying energetics of swarming at the single-cluster level remains a challenge. Here, we combine optical tweezers and multiparticle tracking within a stochastic thermodynamic framework to characterize the active motility of confined Proteus mirabilis clusters. Using the photon momentum method to directly measure trapping forces, we show that swarming clusters generate persistent, dissipative flows indicative of nonequilibrium stationary motility within confined solenoidal mesostructures. These flagellar rotational dynamics break detailed balance in mesoscopic force space and exceed the limits of passive friction, as evidenced by force-velocity correlations and vortex-like circulations. By coarse-graining cluster trajectories into an active Brownian phase space, we quantify the work performed by bacterial swarms at cooperative coupling to thermal fluctuations, resulting in dissipative Ohmic-like currents overcoming conservative trapping. Our findings establish a generalizable approach to quantify collective motility and energetic dissipation in active bacterial clusters under confinement, offering insights into the physical principles governing microbial cooperativity.
dc.description.departmentDepto. de Estructura de la Materia, Física Térmica y Electrónica
dc.description.facultyFac. de Ciencias Físicas
dc.description.refereedTRUE
dc.description.sponsorshipMinisterio de Ciencia e Innovación (España)
dc.description.sponsorshipComunidad de Madrid
dc.description.sponsorshipEuropean Commission
dc.description.sponsorshipAgencia Estatal de Investigación (España)
dc.description.statuspub
dc.identifier.citationLuque-Rioja, Clara, et al. «Stochastic Motility Energetics Reveals Cooperative Bacterial Swarming in Optical Tweezers». Proceedings of the National Academy of Sciences, vol. 123, n.o 3, enero de 2026, p. e2515129123. DOI.org (Crossref), https://doi.org/10.1073/pnas.2515129123.
dc.identifier.doi10.1073/pnas.2515129123
dc.identifier.essn1091-6490
dc.identifier.issn0027-8424
dc.identifier.officialurlhttps://dx.doi.org/10.1073/pnas.2515129123
dc.identifier.relatedurlhttps://www.pnas.org/doi/10.1073/pnas.2515129123
dc.identifier.urihttps://hdl.handle.net/20.500.14352/134917
dc.issue.number3
dc.journal.titleProceedings of the National Academy of Sciences
dc.language.isoeng
dc.page.finale2515129123-11
dc.page.initiale2515129123-1
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-108391RB-I00/ES/TERMODINAMICA DE LA CELULA: UN ENCUENTRO DE LA BIOLOGIA CON EL PRINCIPIO DE ACCION/
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/TED/TED2021-132296B-C52/ES/BIOFISICA TRASLACIONAL PARA LA DIGITALIZACION DE LEUCEMIA INFANTIL/LEUKODOMICS-PHY
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/CPP/CPP2024-011880/ES/INTELIGENCIA ARTIFICIAL PARA LA OPTIMIZACION DE PROCESOS INDUSTRIALES COMPLEJOS/IA-OPT-IND
dc.relation.projectIDinfo:eu-repo/grantAgreement/CM/PRIC-CM/Y2018/BIO-5207/ES/DESARROLLO DE NANOMEDICINAS DE ULTIMA GENERACION PARA LA TERAPIA PERSONALIZADA DE ENFERMEDADES METABOLICAS/NANOBIOSOMA
dc.relation.projectIDinfo:eu-repo/grantAgreement/CM/PRIC-CM/S2018/NMT-4389/ES/TECNOLOGIAS AVANZADAS EN NANOMEDICINA APLICADA A ENFERMEDADES CARDIOVASCULARES Y METABOLICAS/NANOMAGDEM
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/CNS/CNS2023-143803/ES/SISTEMAS INTELIGENTES DE MONITORIZACION MOLECULAR PARA MEDICINA DE PRECISION/SIMM-PRECISION
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internationalen
dc.rights.accessRightsopen access
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject.cdu53
dc.subject.cdu54
dc.subject.keywordStochastic energetics
dc.subject.keywordBrownian stochasticity
dc.subject.keywordMicrobial swarming
dc.subject.keywordEntropy production
dc.subject.ucmFísica (Física)
dc.subject.ucmQuímica
dc.subject.unesco22 Física
dc.subject.unesco23 Química
dc.titleStochastic motility energetics reveals cooperative bacterial swarming in optical tweezers
dc.typejournal article
dc.type.hasVersionVoR
dc.volume.number123
dspace.entity.typePublication
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relation.isAuthorOfPublication05905ac6-6715-42b9-aecf-299d305e882c
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relation.isAuthorOfPublication.latestForDiscovery4a3f2615-8e1d-4dcf-bf71-2216bb2a311c

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