Inferring population dynamics of HIV-1 subtype C epidemics in Eastern Africa and Southern Brazil applying different Bayesian phylodynamics approaches
Autor(a) principal: | |
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Data de Publicação: | 2018 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da FIOCRUZ (ARCA) |
Texto Completo: | https://www.arca.fiocruz.br/handle/icict/29323 |
Resumo: | Fundação Oswaldo Cruz. Instituto Oswaldo Cruz. Laboratório de AIDS e Imunologia Molecular. Rio de Janeiro, RJ. Brasil. |
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Mir, DaianaGräf, TiagoAlmeida, Sabrina Esteves de MatosPinto, Aguinaldo RobertoDelatorre, EdsonBello, Gonzalo2018-10-04T12:18:34Z2018-10-04T12:18:34Z2018MIR, Daiana; et al. Inferring population dynamics of HIV-1 subtype C epidemics in Eastern Africa and Southern Brazil applying different Bayesian phylodynamics approaches. Scientific Reports, v.8:8778, 10p, June 2018.2045-2322https://www.arca.fiocruz.br/handle/icict/2932310.1038/s41598-018-26824-4engNature ResearchSubtipo C do HIV-1Abordagens filodinâmicas bayesianasSul do BrasilÁfrica Orientaldinâmicas populacionaisepidemiasHIV-1 subtype CEastern AfricaSouthern BrazilBayesian phylodynamic approachespopulation dynamicsepidemicsInferring population dynamics of HIV-1 subtype C epidemics in Eastern Africa and Southern Brazil applying different Bayesian phylodynamics approachesinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleFundação Oswaldo Cruz. Instituto Oswaldo Cruz. Laboratório de AIDS e Imunologia Molecular. Rio de Janeiro, RJ. Brasil.Universidade Federal do Rio de Janeiro, Rio de Janeiro. Instituto de Biologia. Departamento de Genética. Rio de Janeiro, RJ, Brasil / University of KwaZulu-Natal. College of Health Sciences. KwaZulu-Natal Research Innovation and Sequencing Platform. Durban, South Africa.Fundação Estadual de Produção e Pesquisa em Saúde. Centro de Desenvolvimento Científico e Tecnológico. Porto Alegre, RS, Brasil / Universidade Federal do Rio Grande do Sul. Programa de Pós-Graduação em Genética e Biologia Molecular. Porto Alegre, RS, Brasil / Universidade Feevale. Instituto de Ciências da Saúde. Novo Hamburgo, RS, Brasil.Universidade Federal de Santa Catarina. Departamento de Microbiologia, Imunologia e Parasitologia. Laboratório de Imunologia Aplicada. Florianópolis, SC, Brasil.Fundação Oswaldo Cruz. Instituto Oswaldo Cruz. Laboratório de AIDS e Imunologia Molecular. Rio de Janeiro, RJ. Brasil.Fundação Oswaldo Cruz. Instituto Oswaldo Cruz. Laboratório de AIDS e Imunologia Molecular. Rio de Janeiro, RJ. Brasil.The subtype C Eastern Africa clade (CEA), a particularly successful HIV-1 subtype C lineage, has seeded several sub-epidemics in Eastern African countries and Southern Brazil during the 1960s and 1970s. Here, we characterized the past population dynamics of the major CEA sub-epidemics in Eastern Africa and Brazil by using Bayesian phylodynamic approaches based on coalescent and birth-death models. All phylodynamic models support similar epidemic dynamics and exponential growth rates until roughly the mid-1980s for all the CEA sub-epidemics. Divergent growth patterns, however, were supported afterwards. The Bayesian skygrid coalescent model (BSKG) and the birth-death skyline model (BDSKY) supported longer exponential growth phases than the Bayesian skyline coalescent model (BSKL). The BDSKY model uncovers patterns of a recent decline for the CEA sub-epidemics in Burundi/Rwanda and Tanzania (Re < 1) and a recent growth for Southern Brazil (Re > 1); whereas coalescent models infer an epidemic stabilization. To the contrary, the BSKG model captured a decline of Ethiopian CEA sub-epidemic between the mid-1990s and mid-2000s that was not uncovered by the BDSKY model. These results underscore that the joint use of different phylodynamic approaches may yield complementary insights into the past HIV population dynamics.info:eu-repo/semantics/openAccessreponame:Repositório Institucional da FIOCRUZ (ARCA)instname:Fundação Oswaldo Cruz (FIOCRUZ)instacron:FIOCRUZLICENSElicense.txtlicense.txttext/plain; charset=utf-82991https://www.arca.fiocruz.br/bitstream/icict/29323/1/license.txt5a560609d32a3863062d77ff32785d58MD51ORIGINALedsondelatorre_gonzalobello_etal_IOC_2018.pdfedsondelatorre_gonzalobello_etal_IOC_2018.pdfapplication/pdf2469298https://www.arca.fiocruz.br/bitstream/icict/29323/2/edsondelatorre_gonzalobello_etal_IOC_2018.pdf698241db98456db2f54313282ec989adMD52TEXTedsondelatorre_gonzalobello_etal_IOC_2018.pdf.txtedsondelatorre_gonzalobello_etal_IOC_2018.pdf.txtExtracted texttext/plain51988https://www.arca.fiocruz.br/bitstream/icict/29323/3/edsondelatorre_gonzalobello_etal_IOC_2018.pdf.txtf85c2afea4ed05618df1b675a554f3c0MD53icict/293232018-10-05 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dc.title.pt_BR.fl_str_mv |
Inferring population dynamics of HIV-1 subtype C epidemics in Eastern Africa and Southern Brazil applying different Bayesian phylodynamics approaches |
title |
Inferring population dynamics of HIV-1 subtype C epidemics in Eastern Africa and Southern Brazil applying different Bayesian phylodynamics approaches |
spellingShingle |
Inferring population dynamics of HIV-1 subtype C epidemics in Eastern Africa and Southern Brazil applying different Bayesian phylodynamics approaches Mir, Daiana Subtipo C do HIV-1 Abordagens filodinâmicas bayesianas Sul do Brasil África Oriental dinâmicas populacionais epidemias HIV-1 subtype C Eastern Africa Southern Brazil Bayesian phylodynamic approaches population dynamics epidemics |
title_short |
Inferring population dynamics of HIV-1 subtype C epidemics in Eastern Africa and Southern Brazil applying different Bayesian phylodynamics approaches |
title_full |
Inferring population dynamics of HIV-1 subtype C epidemics in Eastern Africa and Southern Brazil applying different Bayesian phylodynamics approaches |
title_fullStr |
Inferring population dynamics of HIV-1 subtype C epidemics in Eastern Africa and Southern Brazil applying different Bayesian phylodynamics approaches |
title_full_unstemmed |
Inferring population dynamics of HIV-1 subtype C epidemics in Eastern Africa and Southern Brazil applying different Bayesian phylodynamics approaches |
title_sort |
Inferring population dynamics of HIV-1 subtype C epidemics in Eastern Africa and Southern Brazil applying different Bayesian phylodynamics approaches |
author |
Mir, Daiana |
author_facet |
Mir, Daiana Gräf, Tiago Almeida, Sabrina Esteves de Matos Pinto, Aguinaldo Roberto Delatorre, Edson Bello, Gonzalo |
author_role |
author |
author2 |
Gräf, Tiago Almeida, Sabrina Esteves de Matos Pinto, Aguinaldo Roberto Delatorre, Edson Bello, Gonzalo |
author2_role |
author author author author author |
dc.contributor.author.fl_str_mv |
Mir, Daiana Gräf, Tiago Almeida, Sabrina Esteves de Matos Pinto, Aguinaldo Roberto Delatorre, Edson Bello, Gonzalo |
dc.subject.other.pt_BR.fl_str_mv |
Subtipo C do HIV-1 Abordagens filodinâmicas bayesianas Sul do Brasil África Oriental dinâmicas populacionais epidemias |
topic |
Subtipo C do HIV-1 Abordagens filodinâmicas bayesianas Sul do Brasil África Oriental dinâmicas populacionais epidemias HIV-1 subtype C Eastern Africa Southern Brazil Bayesian phylodynamic approaches population dynamics epidemics |
dc.subject.en.pt_BR.fl_str_mv |
HIV-1 subtype C Eastern Africa Southern Brazil Bayesian phylodynamic approaches population dynamics epidemics |
description |
Fundação Oswaldo Cruz. Instituto Oswaldo Cruz. Laboratório de AIDS e Imunologia Molecular. Rio de Janeiro, RJ. Brasil. |
publishDate |
2018 |
dc.date.accessioned.fl_str_mv |
2018-10-04T12:18:34Z |
dc.date.available.fl_str_mv |
2018-10-04T12:18:34Z |
dc.date.issued.fl_str_mv |
2018 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.citation.fl_str_mv |
MIR, Daiana; et al. Inferring population dynamics of HIV-1 subtype C epidemics in Eastern Africa and Southern Brazil applying different Bayesian phylodynamics approaches. Scientific Reports, v.8:8778, 10p, June 2018. |
dc.identifier.uri.fl_str_mv |
https://www.arca.fiocruz.br/handle/icict/29323 |
dc.identifier.issn.pt_BR.fl_str_mv |
2045-2322 |
dc.identifier.doi.none.fl_str_mv |
10.1038/s41598-018-26824-4 |
identifier_str_mv |
MIR, Daiana; et al. Inferring population dynamics of HIV-1 subtype C epidemics in Eastern Africa and Southern Brazil applying different Bayesian phylodynamics approaches. Scientific Reports, v.8:8778, 10p, June 2018. 2045-2322 10.1038/s41598-018-26824-4 |
url |
https://www.arca.fiocruz.br/handle/icict/29323 |
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eng |
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eng |
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info:eu-repo/semantics/openAccess |
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openAccess |
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Nature Research |
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Nature Research |
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