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dc.contributor.authorRodríguez Grande, Jorge
dc.contributor.authorOrtiz Pérez, Yelina 
dc.contributor.authorGarcía López, Daniel 
dc.contributor.authorGarcillan Barcia, María Pilar
dc.contributor.authorCruz, Fernando de la
dc.contributor.authorFernandez López, Raúl
dc.contributor.otherUniversidad de Cantabriaes_ES
dc.date.accessioned2025-07-11T07:41:13Z
dc.date.available2025-07-11T07:41:13Z
dc.date.issued2025
dc.identifier.issn1553-7390
dc.identifier.issn1553-7404
dc.identifier.otherPCI2021-122067-2Aes_ES
dc.identifier.otherPID2019-110216GB-I00es_ES
dc.identifier.otherBES-2015-073463es_ES
dc.identifier.otherBFU2014-55534-C2-1-Pes_ES
dc.identifier.urihttps://hdl.handle.net/10902/36662
dc.description.abstractPlasmid conjugation is a major route for the dissemination of antibiotic resistances and adaptive genes among bacterial populations. Obtaining precise conjugation rates is thus key to understanding how antibiotic resistances spread. Plasmid conjugation is typically modeled as a density-dependent process, where the formation of new transconjugants depends on the rate of encounters between donor and receptor cells. By analyzing conjugation dynamics at different cell concentrations, here we show that this assumption only holds at very low bacterial densities. At higher cell concentrations, conjugation becomes limited by the engagement time, the interval required between two successful matings. Plasmid conjugation therefore follows a Holling´s Type II functional response, characterized by the encounter rate and the engagement time, which represent, respectively, the density and frequency-dependent limits of plasmid transmission. Our results demonstrate that these parameters are characteristic of the transfer machinery, rather than the entire plasmid genome, and that they are robust to environmental and transcriptional perturbation. Precise parameterization of plasmid conjugation will contribute to better understanding the propagation dynamics of antimicrobial resistances.es_ES
dc.description.sponsorshipThis work was supported by the Spanish Ministry of Science and Innovation Project PCI2021-122067-2A funded by MCIN/AEI /10.13039/501100011033 and the European Union Next Generation EU/PRTR and by Project PID2019-110216GB-I00 funded by MCIN/ AEI /10.13039/501100011033 to RF-L, and MCIN/AEI/10.13039/501100011033 PID2020-117923GB-I00 to FdlC and MPGB, by the Spanish Ministry of Universities (FPU21/05415 to DG-L) and by the Spanish Ministry of Economy and Competitiveness (BES-2015-073463 to JR-G, linked to project BFU2014-55534-C2-1-P). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.es_ES
dc.format.extent21 p.es_ES
dc.language.isoenges_ES
dc.publisherPublic Library of Sciencees_ES
dc.rights© 2025 The Author(s). This is an open access article distributed under the terms of the Creative Commons Attribution Licensees_ES
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.sourcePLoS Genetics, 2025, 21(2), e1011560es_ES
dc.titleEncounter rates and engagement times limit the transmission of conjugative plasmidses_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.relation.publisherVersionhttps://doi.org/10.1371/journal.pgen.1011560es_ES
dc.rights.accessRightsopenAccesses_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/PCI2021-122067-2A/ES/PHAGE THERAPY TO REDUCE AMR ENTEROBACTERIA SPREAD FROM A ONE HEALTH PERSPECTIVEes_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-110216GB-I00/ES/BIOLOGIA DE SISTEMAS DE LA SEÑALIZACION EN MICROORGANISMOSes_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/MINECO//BES-2015-073463/ES/BES-2015-073463/es_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/MINECO//BFU2014-55534-C2-1-P/ES/PLASMID OFFENSIVE/es_ES
dc.identifier.DOI10.1371/journal.pgen.1011560
dc.type.versionpublishedVersiones_ES


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