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1.
BMC Genomics ; 25(1): 433, 2024 May 01.
Artigo em Inglês | MEDLINE | ID: mdl-38693476

RESUMO

BACKGROUND: The increasing burden of dengue virus on public health due to more explosive and frequent outbreaks highlights the need for improved surveillance and control. Genomic surveillance of dengue virus not only provides important insights into the emergence and spread of genetically diverse serotypes and genotypes, but it is also critical to monitor the effectiveness of newly implemented control strategies. Here, we present DengueSeq, an amplicon sequencing protocol, which enables whole-genome sequencing of all four dengue virus serotypes. RESULTS: We developed primer schemes for the four dengue virus serotypes, which can be combined into a pan-serotype approach. We validated both approaches using genetically diverse virus stocks and clinical specimens that contained a range of virus copies. High genome coverage (>95%) was achieved for all genotypes, except DENV2 (genotype VI) and DENV 4 (genotype IV) sylvatics, with similar performance of the serotype-specific and pan-serotype approaches. The limit of detection to reach 70% coverage was 10-100 RNA copies/µL for all four serotypes, which is similar to other commonly used primer schemes. DengueSeq facilitates the sequencing of samples without known serotypes, allows the detection of multiple serotypes in the same sample, and can be used with a variety of library prep kits and sequencing instruments. CONCLUSIONS: DengueSeq was systematically evaluated with virus stocks and clinical specimens spanning the genetic diversity within each of the four dengue virus serotypes. The primer schemes can be plugged into existing amplicon sequencing workflows to facilitate the global need for expanded dengue virus genomic surveillance.


Assuntos
Vírus da Dengue , Genoma Viral , Sorogrupo , Sequenciamento Completo do Genoma , Vírus da Dengue/genética , Vírus da Dengue/isolamento & purificação , Vírus da Dengue/classificação , Sequenciamento Completo do Genoma/métodos , Humanos , Genótipo , Dengue/virologia , Dengue/diagnóstico , Sequenciamento de Nucleotídeos em Larga Escala/métodos , RNA Viral/genética
2.
Emerg Infect Dis ; 30(2): 376-379, 2024 Feb.
Artigo em Inglês | MEDLINE | ID: mdl-38232709

RESUMO

During May 2022-April 2023, dengue virus serotype 3 was identified among 601 travel-associated and 61 locally acquired dengue cases in Florida, USA. All 203 sequenced genomes belonged to the same genotype III lineage and revealed potential transmission chains in which most locally acquired cases occurred shortly after introduction, with little sustained transmission.


Assuntos
Vírus da Dengue , Dengue , Humanos , Vírus da Dengue/genética , Dengue/epidemiologia , Florida/epidemiologia , Viagem , Sequência de Bases , Genótipo , Sorogrupo , Filogenia
3.
medRxiv ; 2024 Jul 18.
Artigo em Inglês | MEDLINE | ID: mdl-39072046

RESUMO

Global dengue cases rapidly rose to record levels in 2023-24. We investigated this trend in Valle del Cauca, Colombia to determine if specific dengue virus serotypes or lineages were responsible for the large outbreak. We detected all four serotypes and multiple lineages, suggesting that other factors, such as climatic conditions, are likely responsible.

4.
medRxiv ; 2024 May 17.
Artigo em Inglês | MEDLINE | ID: mdl-38798319

RESUMO

Dengue virus (DENV) is currently causing epidemics of unprecedented scope in endemic settings and expanding to new geographical areas. It is therefore critical to track this virus using genomic surveillance. However, the complex patterns of viral genomic diversity make it challenging to use the existing genotype classification system. Here we propose adding two sub-genotypic levels of virus classification, named major and minor lineages. These lineages have high thresholds for phylogenetic distance and clade size, rendering them stable between phylogenetic studies. We present an assignment tool to show that the proposed lineages are useful for regional, national and sub-national discussions of relevant DENV diversity. Moreover, the proposed lineages are robust to classification using partial genome sequences. We provide a standardized neutral descriptor of DENV diversity with which we can identify and track lineages of potential epidemiological and/or clinical importance. Information about our lineage system, including methods to assign lineages to sequence data and propose new lineages, can be found at: dengue-lineages.org.

5.
Nat Commun ; 15(1): 3508, 2024 Apr 25.
Artigo em Inglês | MEDLINE | ID: mdl-38664380

RESUMO

Dengue is the most prevalent mosquito-borne viral disease in humans, and cases are continuing to rise globally. In particular, islands in the Caribbean have experienced more frequent outbreaks, and all four dengue virus (DENV) serotypes have been reported in the region, leading to hyperendemicity and increased rates of severe disease. However, there is significant variability regarding virus surveillance and reporting between islands, making it difficult to obtain an accurate understanding of the epidemiological patterns in the Caribbean. To investigate this, we used travel surveillance and genomic epidemiology to reconstruct outbreak dynamics, DENV serotype turnover, and patterns of spread within the region from 2009-2022. We uncovered two recent DENV-3 introductions from Asia, one of which resulted in a large outbreak in Cuba, which was previously under-reported. We also show that while outbreaks can be synchronized between islands, they are often caused by different serotypes. Our study highlights the importance of surveillance of infected travelers to provide a snapshot of local introductions and transmission in areas with limited local surveillance and suggests that the recent DENV-3 introductions may pose a major public health threat in the region.


Assuntos
Vírus da Dengue , Dengue , Surtos de Doenças , Sorogrupo , Viagem , Vírus da Dengue/genética , Vírus da Dengue/classificação , Vírus da Dengue/isolamento & purificação , Dengue/epidemiologia , Dengue/virologia , Dengue/transmissão , Humanos , Região do Caribe/epidemiologia , Viagem/estatística & dados numéricos , Filogenia , Monitoramento Epidemiológico
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