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dc.contributor.author | Campos Frances, Marcelino![]() |
es_ES |
dc.contributor.author | San Millan, Alvaro![]() |
es_ES |
dc.contributor.author | Sempere Luna, José María![]() |
es_ES |
dc.contributor.author | Lanza, Val F.![]() |
es_ES |
dc.contributor.author | Coque, Teresa M.![]() |
es_ES |
dc.contributor.author | Llorens, Carlos![]() |
es_ES |
dc.contributor.author | Baquero, Fernando![]() |
es_ES |
dc.date.accessioned | 2020-12-18T04:31:09Z | |
dc.date.available | 2020-12-18T04:31:09Z | |
dc.date.issued | 2020-08 | es_ES |
dc.identifier.issn | 0066-4804 | es_ES |
dc.identifier.uri | http://hdl.handle.net/10251/157354 | |
dc.description.abstract | [EN] Bacterial plasmids harboring antibiotic resistance genes are critical in the spread of antibiotic resistance. It is known that plasmids differ in their kinetic values, i.e., conjugation rate, segregation rate by copy number incompatibility with related plasmids, and rate of stochastic loss during replication. They also differ in cost to the cell in terms of reducing fitness and in the frequency of compensatory mutations compensating plasmid cost. However, we do not know how variation in these values influences the success of a plasmid and its resistance genes in complex ecosystems, such as the microbiota. Genes are in plasmids, plasmids are in cells, and cells are in bacterial populations and microbiotas, which are inside hosts, and hosts are in human communities at the hospital or the community under various levels of cross-colonization and antibiotic exposure. Differences in plasmid kinetics might have consequences on the global spread of antibiotic resistance. New membrane computing methods help to predict these consequences. In our simulation, conjugation frequency of at least 10(-3) influences the dominance of a strain with a resistance plasmid. Coexistence of different antibiotic resistances occurs if host strains can maintain two copies of similar plasmids. Plasmid loss rates of 10(-4) or 10(-5) or plasmid fitness costs of >= 0.06 favor plasmids located in the most abundant species. The beneficial effect of compensatory mutations for plasmid fitness cost is proportional to this cost at high mutation frequencies (10(-3) to 10(-5)). The results of this computational model clearly show how changes in plasmid kinetics can modify the entire population ecology of antibiotic resistance in the hospital setting. | es_ES |
dc.description.sponsorship | F. Baquero, M. Campos, and T. M. Coque were supported by EU Joint Programming Initiative JPIAMR2016-AC16/00043 (JPIonAMR-Third call on Transmission, ST131TS project), the Health Institute Carlos III of Spain (grants PI15-00818 and PI18-01942 and CIBER [CIBER in Epidemiology and Public Health, CIBERESP; CB06/02/0053]), and the Regional Government of Madrid (InGEMICS-C; S2017/BMD-3691), all of them cofinanced by the European Development Regional Fund (ERDF) "A Way to Achieve Europe." A. San Millan was supported by the European Research Council under the European Union's Horizon 2020 Research and Innovation Program (ERC grant agreement number 757440-PLASREVOLUTION) | es_ES |
dc.language | Inglés | es_ES |
dc.publisher | American Society for Microbiology | es_ES |
dc.relation.ispartof | Antimicrobial Agents and Chemotherapy | es_ES |
dc.rights | Reserva de todos los derechos | es_ES |
dc.subject | Antibiotic resistance | es_ES |
dc.subject | Complex systems | es_ES |
dc.subject | Computational biology | es_ES |
dc.subject | Computer modeling | es_ES |
dc.subject | Conjugation | es_ES |
dc.subject | Ecosystems | es_ES |
dc.subject | Membrane computing | es_ES |
dc.subject | Plasmids | es_ES |
dc.subject.classification | LENGUAJES Y SISTEMAS INFORMATICOS | es_ES |
dc.title | Simulating the Influence of Conjugative-Plasmid Kinetic Values on the Multilevel Dynamics of Antimicrobial Resistance in a Membrane Computing Model | es_ES |
dc.type | Artículo | es_ES |
dc.identifier.doi | 10.1128/AAC.00593-20 | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/MINECO//AC16%2F00043/ES/Escherichia coli ST131: a model for high-risk transmission dynamics of antimicrobial resistance/ | |
dc.relation.projectID | info:eu-repo/grantAgreement/EC/H2020/757440/EU/Understanding the evolution of plasmid-mediated antibiotic resistance in real life scenarios/ | |
dc.relation.projectID | info:eu-repo/grantAgreement/MINECO//PI15%2F00818/ES/Desarrollo de un simulador computacional de membranas para el estudio de la dinámica trans-jerárquica en la evolución de resistencia bacteriana a los antibióticos./ | |
dc.relation.projectID | info:eu-repo/grantAgreement/ISCIII//PI18%2F01942/ES/Evolución de Resistomas y Resistotipos en la UVI: hacia un Análisis Particularizado de Riesgo de Emergencia e Infección por Bacterias Resistentes a Antibióticos/ | |
dc.relation.projectID | info:eu-repo/grantAgreement/CIBER-BBN//CB06%2F02%2F0053/ | |
dc.rights.accessRights | Abierto | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació | es_ES |
dc.description.bibliographicCitation | Campos Frances, M.; San Millan, A.; Sempere Luna, JM.; Lanza, VF.; Coque, TM.; Llorens, C.; Baquero, F. (2020). Simulating the Influence of Conjugative-Plasmid Kinetic Values on the Multilevel Dynamics of Antimicrobial Resistance in a Membrane Computing Model. Antimicrobial Agents and Chemotherapy. 64(8):1-19. https://doi.org/10.1128/AAC.00593-20 | es_ES |
dc.description.accrualMethod | S | es_ES |
dc.relation.publisherversion | https://doi.org/10.1128/AAC.00593-20 | es_ES |
dc.description.upvformatpinicio | 1 | es_ES |
dc.description.upvformatpfin | 19 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.description.volume | 64 | es_ES |
dc.description.issue | 8 | es_ES |
dc.identifier.pmid | 32457104 | es_ES |
dc.identifier.pmcid | PMC7526830 | es_ES |
dc.relation.pasarela | S\419527 | es_ES |
dc.contributor.funder | European Commission | |
dc.contributor.funder | Centro de Investigación Biomédica en Red en Bioingeniería, Biomateriales y Nanomedicina | |
dc.contributor.funder | Ministerio de Economía y Competitividad | es_ES |
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