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Abstract
Leptospirosis is a zoonotic disease which global burden is increasing often related to climatic change. Hundreds of whole genome sequences from worldwide isolates of Leptospira spp. are available nowadays, together with online tools that permit to assign MLST sequence types (STs) directly from raw sequence data. In this work we have applied R7L-MLST to near 500 genomes and strains collection globally distributed. All 10 pathogenic species as well as [ver mas...]
dc.contributor.authorCaimi, Karina Cynthia
dc.contributor.authorRepetto, Silvia A.
dc.contributor.authorVarni, Vanina Delia
dc.contributor.authorRuybal, Paula
dc.date.accessioned2018-11-28T10:56:20Z
dc.date.available2018-11-28T10:56:20Z
dc.date.issued2017-10
dc.identifier.issn1567-1348
dc.identifier.otherhttp://dx.doi.org/10.1016/j.meegid.2017.08.013
dc.identifier.urihttps://www.sciencedirect.com/science/article/pii/S1567134817302708?via%3Dihub
dc.identifier.urihttp://hdl.handle.net/20.500.12123/3978
dc.description.abstractLeptospirosis is a zoonotic disease which global burden is increasing often related to climatic change. Hundreds of whole genome sequences from worldwide isolates of Leptospira spp. are available nowadays, together with online tools that permit to assign MLST sequence types (STs) directly from raw sequence data. In this work we have applied R7L-MLST to near 500 genomes and strains collection globally distributed. All 10 pathogenic species as well as intermediate were typed using this MLST scheme. The correlation observed between STs and serogroups in our previous work, is still satisfied with this higher dataset sustaining the implementation of MLST to assist serological classification as a complementary approach. Bayesian phylogenetic analysis of concatenated sequences from R7-MLST loci allowed us to resolve taxonomic inconsistencies but also showed that events such as recombination, gene conversion or lateral gene transfer played an important role in the evolution of Leptospira genus. Whole genome sequencing allows us to contribute with suitable epidemiologic information useful to apply in the design of control strategies and also in diagnostic methods for this illness.eng
dc.formatapplication/pdfes_AR
dc.language.isoenges_AR
dc.publisherElsevieres_AR
dc.rightsinfo:eu-repo/semantics/restrictedAccesses_AR
dc.sourceInfection, Genetics and Evolution 54 : 478-485 (Octubre 2017)es_AR
dc.subjectLeptospiraes_AR
dc.subjectGenomicseng
dc.subjectGenómicaes_AR
dc.subjectEvolutioneng
dc.subjectEvoluciónes_AR
dc.subjectZoonosis
dc.subjectZoonoseseng
dc.subject.otherMLSTes_AR
dc.titleLeptospira species molecular epidemiology in the genomic eraes_AR
dc.typeinfo:ar-repo/semantics/artículoes_AR
dc.typeinfo:eu-repo/semantics/articlees_AR
dc.typeinfo:eu-repo/semantics/publishedVersiones_AR
dc.description.origenInstituto de Biotecnologíaes_AR
dc.description.filFil: Caimi, Karina Cynthia. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentinaes_AR
dc.description.filFil: Repetto, Silvia A. Universidad de Buenos Aires. Facultad de Medicina. Instituto de Microbiología y Parasitología Médica; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentinaes_AR
dc.description.filFil: Varni, Vanina Delia. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentinaes_AR
dc.description.filFil: Ruybal, Paula. Universidad de Buenos Aires. Facultad de Medicina. Instituto de Microbiología y Parasitología Médica; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentinaes_AR
dc.subtypecientifico


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