Epidemiología del virus de la encefalitis de Saint Louis en la Amazonia brasileña y en el Estado de Mato Grosso do Sul (Brasil): alta prevalencia de anticuerpos en equinos

O presente trabalho recebeu apoio financeiro do Instituto Evandro Chagas/SVS/MS, OPAS (Carta Acordo 109/2005) e do Conselho Nacional de Desenvolvimento Científico e Tecnológico – CNPq (processo nº. 300460/2005-8)Ministério da Saúde. Secretaria de Vigilância em Saúde. Instituto Evandro Chagas. Ananindeua, PA, Brasil.Pan American Health Organization. Washington, DC, EUA.Ministério da Saúde. Secretaria de Vigilância em Saúde. COVEV/CGDT/DEVEP. Brasília, DF, Brasil.Ministério da Saúde. Secretaria de Vigilância em Saúde. Instituto Evandro Chagas. Ananindeua, PA, Brasil.Ministério da Saúde. Secretaria de Vigilância em Saúde. Instituto Evandro Chagas. Ananindeua, PA, Brasil.Ministério da Saúde. Secretaria de Vigilância em Saúde. Instituto Evandro Chagas. Ananindeua, PA, Brasil.Ministério da Saúde. Secretaria de Vigilância em Saúde. Instituto Evandro Chagas. Ananindeua, PA, Brasil.Ministério da Saúde. Secretaria de Vigilância em Saúde. Instituto Evandro Chagas. Ananindeua, PA, Brasil.Ministério da Saúde. Secretaria de Vigilância em Saúde. Instituto Evandro Chagas. Ananindeua, PA, Brasil.Universidade Federal da Bahia. Faculdade de Medicina da Bahia. Departamento de Medicina. Salvador, BA, Brasil.Ministério da Saúde. Secretaria de Vigilância em Saúde. Instituto Evandro Chagas. Ananindeua, PA, Brasil.A imunidade de equinos (n = 1401) contra o vírus da encefalite Saint Louis (SLEV) foi investigada na Amazônia brasileira (Bragança/PA, Salvaterra/PA, Macapá/AP e Rio Branco/AC) e Maracaju, no Estado do Mato Grosso do Sul, por meio de testes de inibição da hemaglutinação (IH) e neutralização por redução de placas (PRNT). Foram detectados anticorpos IH e neutralizantes específicos (reações monotípicas – RM) para SLEV e outros flavivírus incluídos nos testes, assim como reações cruzadas para flavivírus. Pelo teste de IH, RM foram observadas em 248 (17,7%) amostras de soro, 137 (55,2%) para SLEV, e RC para flavivírus foram detectadas em 380 (27,1%). A frequência de RM para SLEV e de RC foi significativamente maior em Macapá e Salvaterra, respectivamente. Pelo PRNT, foi observada a neutralização do SLEV em 713 (50,9%) amostras, e a prevalência de anticorpos neutralizantes foi significativamente maior em Macapá, em comparação com Salvaterra (p = 0,0083). Este estudo traz novos dados a respeito da imunidade de equinos contra SLEV no Brasil, e confirma a ampla distribuição de SLEV e a diversidade de flavivírus no País, bem como a aparente ausência de doenças em equinos infectados por SLEV.The immunity of horses (n = 1401) against Saint Louis encephalitis virus (SLEV) was investigated in the Brazilian Amazon region (Bragança/Pará, Salvaterra/Pará, Macapá/Amapá and Rio Branco/Acre) and Maracaju, State of Mato Grosso do Sul, by the hemagglutination inhibition (HI) and plaque reduction neutralization (PRNT) tests. HI and neutralizing antibodies specific (monotypic reactivity, MR) for SLEV and other flaviviruses included in the tests were detected, as was cross-reactivity (CR) against flaviviruses. In the HI test, MR was observed in 248 (17.7%) serum samples, 137 of which were (55.2%) against SLEV; CR was detected in 380 (27.1%). The frequency of MR against SLEV was significantly higher in Macapá and CR was significantly higher in Salvaterra. In the PRNT, neutralization of SLEV was observed in 713 (50.9%) samples, and the prevalence of neutralizing antibodies was significantly higher in Macapá than in Salvaterra (p = 0.0083). This study adds new data regarding the immunity of horses against SLEV in Brazil, and it confirms the wide distribution of SLEV and the diversity of flaviviruses in the country, as well as the apparent absence of disease in SLEV-infected horses

Multiplexed reverse transcription real-time polymerase chain reaction for simultaneous detection of Mayaro, Oropouche, and Oropouche-like viruses

Submitted by Raphael Rodrigues ([email protected]) on 2017-06-13T14:33:21Z No. of bitstreams: 1 ve_Felipe_Gomes_Naveca_etal_ILMD_2017.pdf: 611276 bytes, checksum: 7e501740aec08f9832c2d20d41b9f4a9 (MD5)Approved for entry into archive by Raphael Rodrigues ([email protected]) on 2017-06-13T14:42:56Z (GMT) No. of bitstreams: 1 ve_Felipe_Gomes_Naveca_etal_ILMD_2017.pdf: 611276 bytes, checksum: 7e501740aec08f9832c2d20d41b9f4a9 (MD5)Made available in DSpace on 2017-06-13T14:42:56Z (GMT). No. of bitstreams: 1 ve_Felipe_Gomes_Naveca_etal_ILMD_2017.pdf: 611276 bytes, checksum: 7e501740aec08f9832c2d20d41b9f4a9 (MD5) Previous issue date: 2017Fundação Oswaldo Cruz. Instituto Leônidas e Maria Deane. Manaus, AM, Brasil.Fundação Oswaldo Cruz. Instituto Leônidas e Maria Deane. Manaus, AM, Brasil.Fundação Oswaldo Cruz. Instituto Leônidas e Maria Deane. Manaus, AM, Brasil.Ministério da Saúde. Secretaria de Vigilância em Saúde. Instituto Evandro Chagas. Ananindeua, PA, Brasil.Ministério da Saúde. Secretaria de Vigilância em Saúde. Instituto Evandro Chagas. Ananindeua, PA, Brasil.Ministério da Saúde. Secretaria de Vigilância em Saúde. Instituto Evandro Chagas. Ananindeua, PA, Brasil / Unversidade do Estado do Pará. Belém, PA, Brasil.We describe a sensitive method for simultaneous detection of Oropouche and Oropouche-like viruses carrying the Oropouche S segment, as well as the Mayaro virus, using a multiplexed one-step reverse transcription real-time polymerase chain reaction (RT-qPCR). A chimeric plasmid containing both Mayaro and Oropouche targets was designed and evaluated for the in vitro production of transcribed RNA, which could be easily used as a non-infectious external control. To track false-negative results due to PCR inhibition or equipment malfunction, the MS2 bacteriophage was also included in the multiplex assay as an internal positive control. The specificity of the multiplex assay was evaluated by Primer-Blast analysis against the entire GenBank database, and further against a panel of 17 RNA arboviruses. The results indicated an accurate and highly sensitive assay with amplification efficiency greater than 98% for both targets, and a limit of detection between two and 20 copies per reaction. We believe that the assay described here will provide a tool for Mayaro and Oropouche virus detection, especially in areas where differential diagnosis of Dengue, Zika and Chikungunya viruses should be performed

Development of RT-qPCR and semi-nested RT-PCR assays for molecular diagnosis of hantavirus pulmonary syndrome.

Hantavirus Pulmonary Syndrome is an, often fatal, emerging zoonotic disease in the Americas caused by hantaviruses (family: Hantaviridae). In Brazil, hantavirus routine diagnosis is based on serology (IgM-ELISA) while RT-PCR is often used to confirm acute infection. A Semi-nested RT-PCR and an internally controlled RT-qPCR assays were developed for detection and quantification of four hantaviruses strains circulating in the Brazilian Amazon: Anajatuba (ANAJV) and Castelo dos Sonhos (CASV) strains of Andes virus (ANDV) species; and Rio Mamoré (RIOMV) and Laguna Negra (LNV) strains of LNV species. A consensus region in the N gene of these hantaviruses was used to design the primer sets and a hydrolysis probe. In vitro transcribed RNA was diluted in standards with known concentration. MS2 bacteriophage RNA was detected together with hantavirus RNA as an exogenous control in a duplex reaction. RT-qPCR efficiency was around 100% and the limit of detection was 0.9 copies/μL of RNA for RT-qPCR and 10 copies/μL of RNA for Semi-nested RT-PCR. There was no amplification of either negative samples or samples positive to other pathogens. To assess the protocol for clinical sensitivity, specificity and general accuracy values, both assays were used to test two groups of samples: one comprising patients with disease (n = 50) and other containing samples from healthy individuals (n = 50), according to IgM-ELISA results. A third group of samples (n = 27) infected with other pathogens were tested for specificity analysis. RT-qPCR was more sensitive than semi-nested RT-PCR, being able to detect three samples undetected by conventional RT-PCR. RT-qPCR clinical sensitivity, specificity and general accuracy values were 92.5%, 100% and 97.63%, respectively. Thus, the assays developed in this study were able to detect the four Brazilian Amazon hantaviruses with good specificity and sensitivity, and may become powerful tools in diagnostic, surveillance and research applications of these and possibly other hantaviruses

Co-infection of Peruvian horse sickness virus and West Nile virus associated with neurological diseases in horses from Brazil

The Secretariat of Health of Venécia Municipality , Secretariat of Health of Espírito Santo state , Evandro Chagas Institute and Ministry of Health of Brazil.Ministério da Saúde. Secretaria de Ciência, Tecnologia, Inovação e Insumos Estratégicos. Instituto Evandro Chagas. Ananindeua, PA, Brasil.Ministério da Saúde. Secretaria de Ciência, Tecnologia, Inovação e Insumos Estratégicos. Instituto Evandro Chagas. Ananindeua, PA, Brasil.Ministério da Saúde. Secretaria de Ciência, Tecnologia, Inovação e Insumos Estratégicos. Instituto Evandro Chagas. Ananindeua, PA, Brasil.Secretariat of Health of Espírito Santo state. Vitória, ES, Brazil.Ministério da Saúde. Secretaria de Ciência, Tecnologia, Inovação e Insumos Estratégicos. Instituto Evandro Chagas. Ananindeua, PA, Brasil.Ministério da Saúde. Secretaria de Ciência, Tecnologia, Inovação e Insumos Estratégicos. Instituto Evandro Chagas. Ananindeua, PA, Brasil.Ministério da Saúde. Secretaria de Ciência, Tecnologia, Inovação e Insumos Estratégicos. Instituto Evandro Chagas. Ananindeua, PA, Brasil.Secretariat of Health of Espírito Santo state. Vitória, ES, Brazil.Ministério da Saúde. Secretaria de Ciência, Tecnologia, Inovação e Insumos Estratégicos. Instituto Evandro Chagas. Ananindeua, PA, Brasil.Secretariat of Health of Espírito Santo state. Vitória, ES, Brazil.Secretariat of Health of Venécia Municipality. Venécia, ES, Brazil.Canterbury Health Laboratories. Microbiology Department. New Zealand.Secretariat of Health of Espírito Santo state. Vitória, ES, Brazil.Ministry of Health. Health Surveillance Secretariate. Brasília, DF, Brazil.Ministério da Saúde. Secretaria de Ciência, Tecnologia, Inovação e Insumos Estratégicos. Instituto Evandro Chagas. Ananindeua, PA, Brasil.Ministério da Saúde. Secretaria de Ciência, Tecnologia, Inovação e Insumos Estratégicos. Instituto Evandro Chagas. Ananindeua, PA, Brasil.In 2018, during the surveillance for West Nile virus (WNV) in horses with neurological clinical signs in the state of Espírito Santo (Brazil), 19 animals were investigated, and 52 biological samples were collected for WNV diagnostic. One brain sample was positive for WNV by RT-qPCR and the virus was isolated in C6/36 cell culture and sequenced. We obtained a nearly complete genome of WNV co-infected with Peruvian horse sickness virus (PHSV) in the cell culture. After confirmation of PHSV by next-generation sequencing, a new PHSV RT-qPCR protocol was developed, which was used to detect another horse positive only for PHSV. This assay provides a simple and direct method for easy identification of PHSV from biological samples from horses and may become a useful tool in the epidemiological surveillance of this virus. It is the first case of PHSV in Brazil, and only the third country overall to report, 23 years after the first confirmed notification in Peru. Moreover, it is the first reported co-infection of PHSV and WNV in a horse with neurological signs, confirmed by RT-qPCR

Multiplexed reverse transcription real-time polymerase chain reaction for simultaneous detection of Mayaro, Oropouche, and Oropouche-like viruses

Submitted by Raphael Rodrigues ([email protected]) on 2017-06-13T14:33:21Z No. of bitstreams: 1 ve_Felipe_Gomes_Naveca_etal_ILMD_2017.pdf: 611276 bytes, checksum: 7e501740aec08f9832c2d20d41b9f4a9 (MD5)Approved for entry into archive by Raphael Rodrigues ([email protected]) on 2017-06-13T14:42:56Z (GMT) No. of bitstreams: 1 ve_Felipe_Gomes_Naveca_etal_ILMD_2017.pdf: 611276 bytes, checksum: 7e501740aec08f9832c2d20d41b9f4a9 (MD5)Made available in DSpace on 2017-06-13T14:42:56Z (GMT). No. of bitstreams: 1 ve_Felipe_Gomes_Naveca_etal_ILMD_2017.pdf: 611276 bytes, checksum: 7e501740aec08f9832c2d20d41b9f4a9 (MD5) Previous issue date: 2017Fundação Oswaldo Cruz. Instituto Leônidas e Maria Deane. Manaus, AM, Brasil.Fundação Oswaldo Cruz. Instituto Leônidas e Maria Deane. Manaus, AM, Brasil.Fundação Oswaldo Cruz. Instituto Leônidas e Maria Deane. Manaus, AM, Brasil.Ministério da Saúde. Secretaria de Vigilância em Saúde. Instituto Evandro Chagas. Ananindeua, PA, Brasil.Ministério da Saúde. Secretaria de Vigilância em Saúde. Instituto Evandro Chagas. Ananindeua, PA, Brasil.Ministério da Saúde. Secretaria de Vigilância em Saúde. Instituto Evandro Chagas. Ananindeua, PA, Brasil / Unversidade do Estado do Pará. Belém, PA, Brasil.We describe a sensitive method for simultaneous detection of Oropouche and Oropouche-like viruses carrying the Oropouche S segment, as well as the Mayaro virus, using a multiplexed one-step reverse transcription real-time polymerase chain reaction (RT-qPCR). A chimeric plasmid containing both Mayaro and Oropouche targets was designed and evaluated for the in vitro production of transcribed RNA, which could be easily used as a non-infectious external control. To track false-negative results due to PCR inhibition or equipment malfunction, the MS2 bacteriophage was also included in the multiplex assay as an internal positive control. The specificity of the multiplex assay was evaluated by Primer-Blast analysis against the entire GenBank database, and further against a panel of 17 RNA arboviruses. The results indicated an accurate and highly sensitive assay with amplification efficiency greater than 98% for both targets, and a limit of detection between two and 20 copies per reaction. We believe that the assay described here will provide a tool for Mayaro and Oropouche virus detection, especially in areas where differential diagnosis of Dengue, Zika and Chikungunya viruses should be performed

Zika virus in the Americas: Early epidemiological and genetic findings

Submitted by sandra infurna ([email protected]) on 2016-06-21T16:53:42Z No. of bitstreams: 1 gonzalo2_bello_etal_IOC_2016.pdf: 1066180 bytes, checksum: d43c1cf1b828de79e634ed276cc62178 (MD5)Approved for entry into archive by sandra infurna ([email protected]) on 2016-06-21T17:27:43Z (GMT) No. of bitstreams: 1 gonzalo2_bello_etal_IOC_2016.pdf: 1066180 bytes, checksum: d43c1cf1b828de79e634ed276cc62178 (MD5)Made available in DSpace on 2016-06-21T17:27:43Z (GMT). No. of bitstreams: 1 gonzalo2_bello_etal_IOC_2016.pdf: 1066180 bytes, checksum: d43c1cf1b828de79e634ed276cc62178 (MD5) Previous issue date: 2016Submitted by Angelo Silva ([email protected]) on 2016-07-07T11:16:45Z No. of bitstreams: 3 gonzalo2_bello_etal_IOC_2016.pdf.txt: 51037 bytes, checksum: bebf604bcb5623ddff92fec2bebc02a5 (MD5) gonzalo2_bello_etal_IOC_2016.pdf: 1066180 bytes, checksum: d43c1cf1b828de79e634ed276cc62178 (MD5) license.txt: 2991 bytes, checksum: 5a560609d32a3863062d77ff32785d58 (MD5)Approved for entry into archive by sandra infurna ([email protected]) on 2016-07-07T11:43:23Z (GMT) No. of bitstreams: 3 license.txt: 2991 bytes, checksum: 5a560609d32a3863062d77ff32785d58 (MD5) gonzalo2_bello_etal_IOC_2016.pdf: 1066180 bytes, checksum: d43c1cf1b828de79e634ed276cc62178 (MD5) gonzalo2_bello_etal_IOC_2016.pdf.txt: 51037 bytes, checksum: bebf604bcb5623ddff92fec2bebc02a5 (MD5)Made available in DSpace on 2016-07-07T11:43:23Z (GMT). No. of bitstreams: 3 license.txt: 2991 bytes, checksum: 5a560609d32a3863062d77ff32785d58 (MD5) gonzalo2_bello_etal_IOC_2016.pdf: 1066180 bytes, checksum: d43c1cf1b828de79e634ed276cc62178 (MD5) gonzalo2_bello_etal_IOC_2016.pdf.txt: 51037 bytes, checksum: bebf604bcb5623ddff92fec2bebc02a5 (MD5) Previous issue date: 2016Ministério da Saúde. Instituto Evandro Chagas, Centro de Inovação tecnológica. Ananindeua, PA, Brasil / University of Oxford. Department of Zoology. Oxford, UK.Ministério da Saúde. Instituto Evandro Chagas. Departamento de Arbovirologia e Febres Hemorrágicas. Ananindeua, PA, Brasil.University of Oxford. Department of Zoology. Oxford, UK.Universidade de São Paulo. Instituto Adolfo Lutz. São Paulo, SP, Brasil.Universidade de São Paulo. Instituto Adolfo Lutz. São Paulo, SP, Brasil.University of Oxford. Department of Zoology. Oxford, UK.University of Oxford. Department of Zoology. Oxford, UK.University of Oxford. Department of Zoology. Oxford, UK.University of Oxford. Wellcome Trust Centre for Human Genetics. Oxford, UK.University of Oxford. Wellcome Trust Centre for Human Genetics. Oxford, UK.Universidade de São Paulo. Instituto Adolfo Lutz. São Paulo, SP, Brasil.Universidade de São Paulo. Instituto Adolfo Lutz. São Paulo, SP, Brasil.Universidade de São Paulo. Instituto Adolfo Lutz. São Paulo, SP, Brasil.Universidade de São Paulo. Instituto Adolfo Lutz. São Paulo, SP, Brasil.Universidade de São Paulo. Instituto Adolfo Lutz. São Paulo, SP, Brasil.Universidade de São Paulo. Instituto Adolfo Lutz. São Paulo, SP, Brasil.Ministério da Saúde. Instituto Evandro Chagas. Departamento de Arbovirologia e Febres Hemorrágicas. Ananindeua, PA, Brasil.Ministério da Saúde. Instituto Evandro Chagas. Departamento de Arbovirologia e Febres Hemorrágicas. Ananindeua, PA, Brasil.Ministério da Saúde. Instituto Evandro Chagas. Departamento de Arbovirologia e Febres Hemorrágicas. Ananindeua, PA, Brasil.Ministério da Saúde. Instituto Evandro Chagas. Departamento de Arbovirologia e Febres Hemorrágicas. Ananindeua, PA, Brasil.Ministério da Saúde. Instituto Evandro Chagas. Departamento de Arbovirologia e Febres Hemorrágicas. Ananindeua, PA, Brasil.Ministério da Saúde. Instituto Evandro Chagas. Departamento de Arbovirologia e Febres Hemorrágicas. Ananindeua, PA, Brasil.Ministério da Saúde. Instituto Evandro Chagas. Departamento de Arbovirologia e Febres Hemorrágicas. Ananindeua, PA, Brasil.Ministério da Saúde. Instituto Evandro Chagas. Departamento de Arbovirologia e Febres Hemorrágicas. Ananindeua, PA, Brasil.Ministério da Saúde. Instituto Evandro Chagas. Departamento de Arbovirologia e Febres Hemorrágicas. Ananindeua, PA, Brasil.Ministério da Saúde. Instituto Evandro Chagas. Departamento de Arbovirologia e Febres Hemorrágicas. Ananindeua, PA, Brasil.Ministério da Saúde. Instituto Evandro Chagas. Departamento de Arbovirologia e Febres Hemorrágicas. Ananindeua, PA, Brasil.Ministério da Saúde. Instituto Evandro Chagas. Departamento de Arbovirologia e Febres Hemorrágicas. Ananindeua, PA, Brasil.Ministério da Saúde. Instituto Evandro Chagas. Departamento de Arbovirologia e Febres Hemorrágicas. Ananindeua, PA, Brasil.Ministério da Saúde. Instituto Evandro Chagas. Departamento de Arbovirologia e Febres Hemorrágicas. Ananindeua, PA, Brasil.University of Oxford. Department of Zoology. Oxford, UK / Metabiota. San Francisco, CA 94104, USA.University of Oxford. Department of Zoology. Oxford, UK.University of Oxford. Department of Zoology. Oxford, UK.Fundação Oswaldo Cruz. Salvador, BA, Brasil.Universidade Estadual de Feira de Santana, Feira de Santana. Departamento de Saúde. Centro de Pós-Graduação em Saúde Coletiva. Feira de Santana, BA, Brasil.Fundação Oswaldo Cruz. Salvador, BA, Brasil.University of Washington. Institute for Health Metrics and Evaluation,. Seattle, WA, USA / University of Oxford. Wellcome Trust Centre for Human Genetics. Oxford, UK.Ministério da Saúde. Instituto Evandro Chagas, Centro de Inovação tecnológica. Ananindeua, PA, Brasil.Ministério da Saúde. Instituto Evandro Chagas, Centro de Inovação tecnológica. Ananindeua, PA, BrasilMinistério da Saúde. Instituto Evandro Chagas, Centro de Inovação tecnológica. Ananindeua, PA, BrasilMinistério da Saúde. Instituto Evandro Chagas, Centro de Inovação tecnológica. Ananindeua, PA, BrasilMinistério da Saúde. Instituto Evandro Chagas, Centro de Inovação tecnológica. Ananindeua, PA, BrasilMinistério da Saúde. Instituto Evandro Chagas, Centro de Inovação tecnológica. Ananindeua, PA, BrasilMinistério da Saúde. Instituto Evandro Chagas, Centro de Inovação tecnológica. Ananindeua, PA, BrasilMinistério da Saúde. Instituto Evandro Chagas, Centro de Inovação tecnológica. Ananindeua, PA, BrasilMinistério da Saúde. Instituto Evandro Chagas, Centro de Inovação tecnológica. Ananindeua, PA, BrasilFundação 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.Fundação Oswaldo Cruz. Instituto Oswaldo Cruz. Laboratório de AIDS e Imunologia Molecular. Rio de Janeiro, RJ, Brasil.Li Ka Shing Knowledge Institute. St. Michael’s Hospital. Toronto, Canada / University of Toronto. Department of Medicine. Division of Infectious Diseases. Toronto, Canada.University of Toronto.Dalla Lana School of Public Health. Toronto, Canada;Brasil. Ministério da Saúde. Brasília, DF, Brasil.Brasil. Ministério da Saúde. Brasília, DF, Brasil.University of Texas Medical Branch. Department of Pathology. Galveston, TX, USA.University of Oxford. Department of Zoology. Oxford, UK / Metabiota. San Francisco, CA 94104, USA.Ministério da Saúde. Instituto Evandro Chagas, Centro de Inovação tecnológica. Ananindeua, PA, Brasil / University of Texas Medical Branch. Department of Pathology. Galveston, TX, USA.Ministério da Saúde. Instituto Evandro Chagas. Departamento de Arbovirologia e Febres Hemorrágicas. Ananindeua, PA, Brasil.Brazil has experienced an unprecedented epidemic of Zika virus (ZIKV), with ~30,000 cases reported to date. ZIKV was first detected in Brazil in May 2015 and cases of microcephaly potentially associated with ZIKV infection were identified in November 2015. Using next generation sequencing we generated seven Brazilian ZIKV genomes, sampled from four self-limited cases, one blood donor, one fatal adult case, and one newborn with microcephaly and congenital malformations. Phylogenetic and molecular clock analyses show a single introduction of ZIKV into the Americas, estimated to have occurred between May-Dec 2013, more than 12 months prior to the detection of ZIKV in Brazil. The estimated date of origin coincides with an increase in air passengers to Brazil from ZIKV endemic areas, and with reported outbreaks in Pacific Islands. ZIKV genomes from Brazil are phylogenetically interspersed with those from other South American and Caribbean countries. Mapping mutations onto existing structural models revealed the context of viral amino acid changes present in the outbreak lineage; however no shared amino acid changes were found among the three currently available virus genomes from microcephaly cases. Municipality-level incidence data indicate that reports of suspected microcephaly in Brazil best correlate with ZIKV incidence around week 17 of pregnancy, although this does not demonstrate causation. Our genetic description and analysis of ZIKV isolates in Brazil provide a baseline for future studies of the evolution and molecular epidemiology in the Americas of this emerging virus

Data from: Zika virus in the Americas: early epidemiological and genetic findings

Brazil has experienced an unprecedented epidemic of Zika virus (ZIKV), with ~30,000 cases reported to date. ZIKV was first detected in Brazil in May 2015 and cases of microcephaly potentially associated with ZIKV infection were identified in November 2015. Using next generation sequencing we generated seven Brazilian ZIKV genomes, sampled from four self-limited cases, one blood donor, one fatal adult case, and one newborn with microcephaly and congenital malformations. Phylogenetic and molecular clock analyses show a single introduction of ZIKV into the Americas, estimated to have occurred between May-Dec 2013, more than 12 months prior to the detection of ZIKV in Brazil. The estimated date of origin coincides with an increase in air passengers to Brazil from ZIKV endemic areas, and with reported outbreaks in Pacific Islands. ZIKV genomes from Brazil are phylogenetically interspersed with those from other South American and Caribbean countries. Mapping mutations onto existing structural models revealed the context of viral amino acid changes present in the outbreak lineage; however no shared amino acid changes were found among the three currently available virus genomes from microcephaly cases. Municipality-level incidence data indicate that reports of suspected microcephaly in Brazil best correlate with ZIKV incidence around week 17 of pregnancy, although this does not demonstrate causation. Our genetic description and analysis of ZIKV isolates in Brazil provide a baseline for future studies of the evolution and molecular epidemiology in the Americas of this emerging virus

Epidemiological Data: Numbers of suspected ZIKV cases and suspected microcephaly cases per state and per epidemiological week.

Contains 1) CSV file with number suspected ZIKV cases from January 2015 to the end of December 2015; 2) CSV file with number of suspected microcephaly cases from January 2015 to the first week of January 2016. Numbers correspond to suspected microcephaly cases at week 20 of pregnancy; 3) CSV file with codes of state of residence and municipality of residence in Brazil; and 4) R scripts for correlation analysis described in SI Section 1.5

Sequence data details and alignments for dataset A and B.

Contains (1) table with accession numbers, isolate names, cell passage history, publication details, country/location of sampling, sampling dates and (2) Fasta format sequence alignments of datasets A and B

BEAST XML input file used for genetic analysis.

BEAST XML input file used to generate Figure 3 under a strict clock model, a Bayesian skyline coalescent prior and a CTMC prior on the clock rate