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Abstract
Bovine Anaplasmosis caused by Anaplasma marginale is a worldwide disease prevalent in tropical and subtropical regions where Rhipicephalus microplus is considered the most significant biological vector. Molecular markers previously applied for A. marginale typing are efficient for isolate discrimination but they are not a suitable tool for studying population structure and dynamics. Here we report the development of an MLST scheme based on the study of [ver mas...]
dc.contributor.authorGuillemi, Eliana Carolina
dc.contributor.authorRuybal, Paula
dc.contributor.authorLia, Veronica Viviana
dc.contributor.authorGonzalez, Sergio Alberto
dc.contributor.authorLew, Sergio Eduardo
dc.contributor.authorZimmer, Patricia Andrea
dc.contributor.authorLopez Arias, Ludmila Sol
dc.contributor.authorRodríguez, José Luis
dc.contributor.authorRodriguez, Sonia Y.
dc.contributor.authorFrutos, Roger
dc.contributor.authorWilkowsky, Silvina Elizabeth
dc.contributor.authorFarber, Marisa Diana
dc.date.accessioned2019-03-13T13:12:28Z
dc.date.available2019-03-13T13:12:28Z
dc.date.issued2015-03
dc.identifier.issn1567-1348
dc.identifier.otherhttps://doi.org/10.1016/j.meegid.2014.12.027
dc.identifier.urihttps://www.sciencedirect.com/science/article/pii/S1567134814004833
dc.identifier.urihttp://hdl.handle.net/20.500.12123/4587
dc.description.abstractBovine Anaplasmosis caused by Anaplasma marginale is a worldwide disease prevalent in tropical and subtropical regions where Rhipicephalus microplus is considered the most significant biological vector. Molecular markers previously applied for A. marginale typing are efficient for isolate discrimination but they are not a suitable tool for studying population structure and dynamics. Here we report the development of an MLST scheme based on the study of seven genes: dnaA, ftsZ, groEl, lipA, recA, secY and sucB. Five annotated genomes (Saint Maries, Florida, Mississippi, Puerto Rico and Virginia) and 53 bovine blood samples from different world regions were analyzed. High nucleotide diversity and a large proportion of synonymous substitutions, indicative of negative selection resulted from DnaSP 5.00.02 package application. Recombination events were detected in almost all genes, this evidence together with the coexistence of more than one A. marginale strain in the same sample might suggest the superinfection phenomena as a potential source of variation. The allelic profile analysis performed through GoeBURST shown two main CC that did not support geography. In addition, the AMOVA test confirmed the occurrence of at least two main genetically divergent groups. The composition of the emergent groups reflected the impact of both historical and environmental traits on A. marginale population structure. Finally, a web-based platform “Galaxy MLST-Pipeline” was developed to automate DNA sequence editing and data analysis that together with the Data Base are freely available to users. The A. marginale MLST scheme developed here is a valuable tool with a high discrimination power, besides PCR based strategies are still the better choice for epidemiological intracellular pathogens studies. Finally, the allelic profile describe herein would contribute to uncover the mechanisms in how intracellular pathogens challenge virulence paradigm.eng
dc.formatapplication/pdfes_AR
dc.language.isoenges_AR
dc.publisherElsevieres_AR
dc.rightsinfo:eu-repo/semantics/restrictedAccesses_AR
dc.sourceInfection, Genetics and Evolution 30 : 186-194 (March 2015)es_AR
dc.subjectEnfermedades de los Animaleses_AR
dc.subjectAnimal Diseaseseng
dc.subjectAnaplasma Marginalees_AR
dc.subjectEpidemiologíaes_AR
dc.subjectEpidemiologyeng
dc.subjectEnfermedades Transmitidas por Garrapatases_AR
dc.subjectTickborne Diseaseseng
dc.subjectAnaplasmosises_AR
dc.subjectGanado Bovinoes_AR
dc.subjectCattleeng
dc.titleDevelopment of a Multilocus Sequence Typing scheme for the study of Anaplasma marginale population structure over space and timees_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: Guillemi, Eliana Carolina. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; Argentinaes_AR
dc.description.filFil: Ruybal, Paula. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; Argentinaes_AR
dc.description.filFil: Lia, Veronica Viviana. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; Argentinaes_AR
dc.description.filFil: Gonzalez, Sergio Alberto. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; Argentinaes_AR
dc.description.filFil: Lew, Sergio Eduardo. Universidad de Buenos Aires. Facultad de Ingenieria. Instituto de Ingeniería Biomédica; Argentinaes_AR
dc.description.filFil: Zimmer, Patricia Andrea. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Mercedes; Argentinaes_AR
dc.description.filFil: Lopez Arias, Ludmila Sol. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; Argentinaes_AR
dc.description.filFil: Rodriguez, Jose L.. Corporación Colombiana de Investigación Agropecuaria; Colombiaes_AR
dc.description.filFil: Rodriguez, Sonia Y.. Corporación Colombiana de Investigación Agropecuaria; Colombiaes_AR
dc.description.filFil: Frutos, Roger. Centre de Coopération Internationale en Recherche Agronomique pour le Développerment; Franciaes_AR
dc.description.filFil: Wilkowsky, Silvina Elizabeth. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; Argentinaes_AR
dc.description.filFil: Farber, Marisa Diana. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; Argentinaes_AR
dc.subtypecientifico


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