Multi-locus typing scheme for Babesia bovis and Babesia bigemina reveals high levels of genetic variability in strains from Northern Argentina

Autores
Guillemi, Eliana Carolina; Ruybal, Paula; Lia, Verónica Viviana; González, Sergio Alberto; Farber, Marisa Diana; Wilkowsky, Silvina Elizabeth
Año de publicación
2013
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Bovine babesiosis, caused by the protozoa Babesia bovis and Babesia bigemina, is a tick-borne disease distributed in tropical regions worldwide. Current control measures are based on the use of acaricides and live attenuated vaccines. The major economic impact of babesiosis lies in the cattle industry. In order to gain insight into the extent of genetic diversity in populations of parasites in the field, we developed two MLST schemes for the molecular genotyping of B. bigemina and B. bovis. We have also developed a custom-designed bioinformatic pipeline to facilitate the automated processing of raw sequences and further diversity and phylogenetic analysis. The overall MLST scheme exhibited the maximum discriminatory power (Simpson Index = 1) for B. bovis and a high level of discrimination for B. bigemina(Simpson Index = 0.9545). Genetic diversity was very high and infections with multiple genotypes were frequently found for both parasites in outbreak samples from the Northeast and Northwest of Argentina. Recombination events, which could have arisen from these multiple infections, were suggested by intra-loci linkage disequilibrium analysis and the lack of congruence in phylogenetic trees from individual genes. The two MLST schemes developed here are a robust, objective and easily adoptable technology to analyze the genetic diversity and population structure of parasites of the genus Babesia.
Fil: Guillemi, Eliana Carolina. Instituto Nacional de Tecnología Agropecuaria. Centro de Investigación en Ciencias Veterinarias y Agronómicas. Instituto de Biotecnología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Ruybal, Paula. Instituto Nacional de Tecnología Agropecuaria. Centro de Investigación en Ciencias Veterinarias y Agronómicas. Instituto de Biotecnología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Lia, Verónica Viviana. Instituto Nacional de Tecnología Agropecuaria. Centro de Investigación en Ciencias Veterinarias y Agronómicas. Instituto de Biotecnología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: González, Sergio Alberto. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Instituto Nacional de Tecnología Agropecuaria. Centro de Investigación en Ciencias Veterinarias y Agronómicas. Instituto de Biotecnología; Argentina
Fil: Farber, Marisa Diana. Instituto Nacional de Tecnología Agropecuaria. Centro de Investigación en Ciencias Veterinarias y Agronómicas. Instituto de Biotecnología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Wilkowsky, Silvina Elizabeth. Instituto Nacional de Tecnología Agropecuaria. Centro de Investigación en Ciencias Veterinarias y Agronómicas. Instituto de Biotecnología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Materia
Babesia Bovis
Babesia Bigemina
Multilocus Sequence Typing
Argentina
Phylogeny
Genetic Diversity
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/23964
Acceder
id CONICETDig_c7c4b54ebe1424e510f5d591912b8a24
oai_identifier_str oai:ri.conicet.gov.ar:11336/23964
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Multi-locus typing scheme for Babesia bovis and Babesia bigemina reveals high levels of genetic variability in strains from Northern ArgentinaGuillemi, Eliana CarolinaRuybal, PaulaLia, Verónica VivianaGonzález, Sergio AlbertoFarber, Marisa DianaWilkowsky, Silvina ElizabethBabesia BovisBabesia BigeminaMultilocus Sequence TypingArgentinaPhylogenyGenetic DiversityBovine babesiosis, caused by the protozoa Babesia bovis and Babesia bigemina, is a tick-borne disease distributed in tropical regions worldwide. Current control measures are based on the use of acaricides and live attenuated vaccines. The major economic impact of babesiosis lies in the cattle industry. In order to gain insight into the extent of genetic diversity in populations of parasites in the field, we developed two MLST schemes for the molecular genotyping of B. bigemina and B. bovis. We have also developed a custom-designed bioinformatic pipeline to facilitate the automated processing of raw sequences and further diversity and phylogenetic analysis. The overall MLST scheme exhibited the maximum discriminatory power (Simpson Index = 1) for B. bovis and a high level of discrimination for B. bigemina(Simpson Index = 0.9545). Genetic diversity was very high and infections with multiple genotypes were frequently found for both parasites in outbreak samples from the Northeast and Northwest of Argentina. Recombination events, which could have arisen from these multiple infections, were suggested by intra-loci linkage disequilibrium analysis and the lack of congruence in phylogenetic trees from individual genes. The two MLST schemes developed here are a robust, objective and easily adoptable technology to analyze the genetic diversity and population structure of parasites of the genus Babesia.Fil: Guillemi, Eliana Carolina. Instituto Nacional de Tecnología Agropecuaria. Centro de Investigación en Ciencias Veterinarias y Agronómicas. Instituto de Biotecnología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Ruybal, Paula. Instituto Nacional de Tecnología Agropecuaria. Centro de Investigación en Ciencias Veterinarias y Agronómicas. Instituto de Biotecnología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Lia, Verónica Viviana. Instituto Nacional de Tecnología Agropecuaria. Centro de Investigación en Ciencias Veterinarias y Agronómicas. Instituto de Biotecnología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: González, Sergio Alberto. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Instituto Nacional de Tecnología Agropecuaria. Centro de Investigación en Ciencias Veterinarias y Agronómicas. Instituto de Biotecnología; ArgentinaFil: Farber, Marisa Diana. Instituto Nacional de Tecnología Agropecuaria. Centro de Investigación en Ciencias Veterinarias y Agronómicas. Instituto de Biotecnología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Wilkowsky, Silvina Elizabeth. Instituto Nacional de Tecnología Agropecuaria. Centro de Investigación en Ciencias Veterinarias y Agronómicas. Instituto de Biotecnología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaElsevier2013-03info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfapplication/pdfapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/23964Guillemi, Eliana Carolina; Ruybal, Paula; Lia, Verónica Viviana; González, Sergio Alberto; Farber, Marisa Diana; et al.; Multi-locus typing scheme for Babesia bovis and Babesia bigemina reveals high levels of genetic variability in strains from Northern Argentina; Elsevier; Infection, Genetics and Evolution; 14; 3-2013; 214-2221567-1348CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1016/j.meegid.2012.12.005info:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S1567134812003875info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-nd/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:25:52Zoai:ri.conicet.gov.ar:11336/23964instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 10:25:52.669CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Multi-locus typing scheme for Babesia bovis and Babesia bigemina reveals high levels of genetic variability in strains from Northern Argentina
title Multi-locus typing scheme for Babesia bovis and Babesia bigemina reveals high levels of genetic variability in strains from Northern Argentina
spellingShingle Multi-locus typing scheme for Babesia bovis and Babesia bigemina reveals high levels of genetic variability in strains from Northern Argentina
Guillemi, Eliana Carolina
Babesia Bovis
Babesia Bigemina
Multilocus Sequence Typing
Argentina
Phylogeny
Genetic Diversity
title_short Multi-locus typing scheme for Babesia bovis and Babesia bigemina reveals high levels of genetic variability in strains from Northern Argentina
title_full Multi-locus typing scheme for Babesia bovis and Babesia bigemina reveals high levels of genetic variability in strains from Northern Argentina
title_fullStr Multi-locus typing scheme for Babesia bovis and Babesia bigemina reveals high levels of genetic variability in strains from Northern Argentina
title_full_unstemmed Multi-locus typing scheme for Babesia bovis and Babesia bigemina reveals high levels of genetic variability in strains from Northern Argentina
title_sort Multi-locus typing scheme for Babesia bovis and Babesia bigemina reveals high levels of genetic variability in strains from Northern Argentina
dc.creator.none.fl_str_mv Guillemi, Eliana Carolina
Ruybal, Paula
Lia, Verónica Viviana
González, Sergio Alberto
Farber, Marisa Diana
Wilkowsky, Silvina Elizabeth
author Guillemi, Eliana Carolina
author_facet Guillemi, Eliana Carolina
Ruybal, Paula
Lia, Verónica Viviana
González, Sergio Alberto
Farber, Marisa Diana
Wilkowsky, Silvina Elizabeth
author_role author
author2 Ruybal, Paula
Lia, Verónica Viviana
González, Sergio Alberto
Farber, Marisa Diana
Wilkowsky, Silvina Elizabeth
author2_role author
author
author
author
author
dc.subject.none.fl_str_mv Babesia Bovis
Babesia Bigemina
Multilocus Sequence Typing
Argentina
Phylogeny
Genetic Diversity
topic Babesia Bovis
Babesia Bigemina
Multilocus Sequence Typing
Argentina
Phylogeny
Genetic Diversity
dc.description.none.fl_txt_mv Bovine babesiosis, caused by the protozoa Babesia bovis and Babesia bigemina, is a tick-borne disease distributed in tropical regions worldwide. Current control measures are based on the use of acaricides and live attenuated vaccines. The major economic impact of babesiosis lies in the cattle industry. In order to gain insight into the extent of genetic diversity in populations of parasites in the field, we developed two MLST schemes for the molecular genotyping of B. bigemina and B. bovis. We have also developed a custom-designed bioinformatic pipeline to facilitate the automated processing of raw sequences and further diversity and phylogenetic analysis. The overall MLST scheme exhibited the maximum discriminatory power (Simpson Index = 1) for B. bovis and a high level of discrimination for B. bigemina(Simpson Index = 0.9545). Genetic diversity was very high and infections with multiple genotypes were frequently found for both parasites in outbreak samples from the Northeast and Northwest of Argentina. Recombination events, which could have arisen from these multiple infections, were suggested by intra-loci linkage disequilibrium analysis and the lack of congruence in phylogenetic trees from individual genes. The two MLST schemes developed here are a robust, objective and easily adoptable technology to analyze the genetic diversity and population structure of parasites of the genus Babesia.
Fil: Guillemi, Eliana Carolina. Instituto Nacional de Tecnología Agropecuaria. Centro de Investigación en Ciencias Veterinarias y Agronómicas. Instituto de Biotecnología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Ruybal, Paula. Instituto Nacional de Tecnología Agropecuaria. Centro de Investigación en Ciencias Veterinarias y Agronómicas. Instituto de Biotecnología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Lia, Verónica Viviana. Instituto Nacional de Tecnología Agropecuaria. Centro de Investigación en Ciencias Veterinarias y Agronómicas. Instituto de Biotecnología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: González, Sergio Alberto. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Instituto Nacional de Tecnología Agropecuaria. Centro de Investigación en Ciencias Veterinarias y Agronómicas. Instituto de Biotecnología; Argentina
Fil: Farber, Marisa Diana. Instituto Nacional de Tecnología Agropecuaria. Centro de Investigación en Ciencias Veterinarias y Agronómicas. Instituto de Biotecnología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Wilkowsky, Silvina Elizabeth. Instituto Nacional de Tecnología Agropecuaria. Centro de Investigación en Ciencias Veterinarias y Agronómicas. Instituto de Biotecnología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
description Bovine babesiosis, caused by the protozoa Babesia bovis and Babesia bigemina, is a tick-borne disease distributed in tropical regions worldwide. Current control measures are based on the use of acaricides and live attenuated vaccines. The major economic impact of babesiosis lies in the cattle industry. In order to gain insight into the extent of genetic diversity in populations of parasites in the field, we developed two MLST schemes for the molecular genotyping of B. bigemina and B. bovis. We have also developed a custom-designed bioinformatic pipeline to facilitate the automated processing of raw sequences and further diversity and phylogenetic analysis. The overall MLST scheme exhibited the maximum discriminatory power (Simpson Index = 1) for B. bovis and a high level of discrimination for B. bigemina(Simpson Index = 0.9545). Genetic diversity was very high and infections with multiple genotypes were frequently found for both parasites in outbreak samples from the Northeast and Northwest of Argentina. Recombination events, which could have arisen from these multiple infections, were suggested by intra-loci linkage disequilibrium analysis and the lack of congruence in phylogenetic trees from individual genes. The two MLST schemes developed here are a robust, objective and easily adoptable technology to analyze the genetic diversity and population structure of parasites of the genus Babesia.
publishDate 2013
dc.date.none.fl_str_mv 2013-03
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/23964
Guillemi, Eliana Carolina; Ruybal, Paula; Lia, Verónica Viviana; González, Sergio Alberto; Farber, Marisa Diana; et al.; Multi-locus typing scheme for Babesia bovis and Babesia bigemina reveals high levels of genetic variability in strains from Northern Argentina; Elsevier; Infection, Genetics and Evolution; 14; 3-2013; 214-222
1567-1348
CONICET Digital
CONICET
url http://hdl.handle.net/11336/23964
identifier_str_mv Guillemi, Eliana Carolina; Ruybal, Paula; Lia, Verónica Viviana; González, Sergio Alberto; Farber, Marisa Diana; et al.; Multi-locus typing scheme for Babesia bovis and Babesia bigemina reveals high levels of genetic variability in strains from Northern Argentina; Elsevier; Infection, Genetics and Evolution; 14; 3-2013; 214-222
1567-1348
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1016/j.meegid.2012.12.005
info:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S1567134812003875
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
application/pdf
application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
_version_ 1844614258294259712
score 13.070432

Publicaciones similares