Spatio-temporal tracking and phylodynamics of an urban dengue 3 outbreak in São Paulo, Brazil

• Processo: 09/05919-7
• Modalidade de apoio: Auxílio à Pesquisa - Publicações científicas - Artigo
• Data de Início da vigência: 01 de maio de 2009
• Data de Término da vigência: 31 de outubro de 2009
• Área do conhecimento: Ciências Biológicas - Microbiologia
• Pesquisador responsável: Maurício Lacerda Nogueira
• Beneficiário: Maurício Lacerda Nogueira
• Instituição Sede: Faculdade de Medicina de São José do Rio Preto (FAMERP). Secretaria de Desenvolvimento Econômico (São Paulo - Estado). São José do Rio Preto , SP, Brasil
• Assunto(s): Filogenia Epidemias Dengue Análise espaço-temporal Publicações de divulgação científica Artigo científico
• Palavra(s)-Chave do Pesquisador: Análise espacial temporal | Dengue | epidemia | Filogenética e Filodinâmica | Virologia e Saúde Pública

Resumo

AbstractThe dengue virus has a single-stranded positive-sense RNA genome of ~10.700 nucleotides with a single open reading frame that encodes three structural (C, prM and E) and seven nonstructural (NS1, NS2A, NS2B, NS3, NS4A, NS4B, NS5) proteins. It possesses four antigenically distinct serotypes (DENV 1-4). Many phylogenetic studies address particularities of the different serotypes using convenience samples that are not conducive to a spatio-temporal analysis in a single urban setting. We describe the pattern of spread of distinct lineages of DENV-3 circulating in São José do Rio Preto, SP (Brazil) during 2006. Blood samples from patients presenting dengue-like symptoms were collected for DENV testing. We performed M-N-PCR using primers based on NS5 for virus detection and identification. The fragments were purified from PCR mixtures and sequenced. The positive dengue cases were geocoded. To type the sequenced samples, 52 reference sequences were aligned. The dataset generated was used for iterative phylogenetic reconstruction with maximum likelihood criterion. The best demographic model, the rate of growth, rate of evolutionary change and Time to Most Recent Common Ancestor (TMRCA) were estimated. The basic reproductive rate during the epidemics was estimated. We obtained sequences from 82 patients among 174 blood samples. We were able to geocode 46 sequences. The alignment generated a 399 nucleotide-long dataset with 134 taxa. The phylogenetic analysis indicated that all samples were of DENV-3 and related to strains circulating in the isle of Martinique in 2000-01. Sixty DENV-3 from SJRP formed a monophyletic group (lineage 1), closely related to the remaining 22 isolates (lineage 2). We assumed that these lineages appeared before 2006 in different occasions. By transforming the inferred exponential growth rates into the basic reproductive rate, we obtained values for lineage 1 of R0 = 1.53 and values for lineage 2 of R0 = 1.13. Under the exponential model TMRCA of lineage 1 dated 1 year and lineage 2 dated 3.4 years before the last sampling. The possibility of inferring the spatio-temporal dynamics from genetic data has been generally little explored and it may shed light on DENV circulation. The use of both geographic and temporally structured phylogenetic data provided a detailed view on the spread of at least two dengue viral strains in a populated urban area. (AU)