Priscila Fonseca Ferreira , Luiz Fernando Almeida Machado , Jedson F. Cardoso , Luciano C. Franco Filho , Alex Ranieri Jerônimo Lima , Marcelo Adriano Mendes dos Santos , James Siqueira Pereira , Márcio R.T. Nunes
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引用次数: 0
Abstract
Orthoflavivirus denguei (Dengue virus) type 4; (DENV-4) has emerged as a significant public health concern in Brazil, particularly following its reintroduction in the early 21st century. This study provides a comprehensive analysis of DENV-4's genetic characterization and its spatiotemporal dynamics reassessment within Brazil, with a focus on the period between 2010 and 2017. We performed direct genomic sequencing on 24 human samples obtained from various Brazilian states using a multiplex sequencing approach on the Ion Torrent platform. Phylogenetic analysis revealed that the new isolates belong exclusively to the genotype 4II, lineage 4II_B.1.1, with no detection of genotype 4I, which was previously identified in Brazil. This absence of genotype 4I in our findings suggests a potential decline, not adaptation to mosquito host, sub endemic circulation or displacement of this genotype in the country. The phylogeographic analysis indicates multiple introduction events of genotype 4II into Brazil, with significant dispersion across different regions, including the North, Northeast, Midwest, and Southeast. The temporal analysis confirmed a robust evolutionary signal, supporting the observed phylogenetic clustering. Eighteen of the 24 genomes in this study had unique nonsynonymous mutations across the entire coding sequences and seven genomes showed mutations that altered the biochemical property of the amino acids at E, NS1, NS2B, NS3,and NS5 genes compared with genotype 4I. Our findings underscore the ongoing spread of DENV-4 within Brazil, and in the Americas driven by complex networks of viral dispersion, and highlight the dynamic nature of DENV-4 genotype distribution. This study emphasizes the importance of advanced direct genomic sequencing tools in understanding the DENV-4 dynamics and spreading, providing critical insights for public health strategies on genomic surveillance to control further dengue outbreaks.
期刊介绍:
(aka Journal of Molecular Epidemiology and Evolutionary Genetics of Infectious Diseases -- MEEGID)
Infectious diseases constitute one of the main challenges to medical science in the coming century. The impressive development of molecular megatechnologies and of bioinformatics have greatly increased our knowledge of the evolution, transmission and pathogenicity of infectious diseases. Research has shown that host susceptibility to many infectious diseases has a genetic basis. Furthermore, much is now known on the molecular epidemiology, evolution and virulence of pathogenic agents, as well as their resistance to drugs, vaccines, and antibiotics. Equally, research on the genetics of disease vectors has greatly improved our understanding of their systematics, has increased our capacity to identify target populations for control or intervention, and has provided detailed information on the mechanisms of insecticide resistance.
However, the genetics and evolutionary biology of hosts, pathogens and vectors have tended to develop as three separate fields of research. This artificial compartmentalisation is of concern due to our growing appreciation of the strong co-evolutionary interactions among hosts, pathogens and vectors.
Infection, Genetics and Evolution and its companion congress [MEEGID](http://www.meegidconference.com/) (for Molecular Epidemiology and Evolutionary Genetics of Infectious Diseases) are the main forum acting for the cross-fertilization between evolutionary science and biomedical research on infectious diseases.
Infection, Genetics and Evolution is the only journal that welcomes articles dealing with the genetics and evolutionary biology of hosts, pathogens and vectors, and coevolution processes among them in relation to infection and disease manifestation. All infectious models enter the scope of the journal, including pathogens of humans, animals and plants, either parasites, fungi, bacteria, viruses or prions. The journal welcomes articles dealing with genetics, population genetics, genomics, postgenomics, gene expression, evolutionary biology, population dynamics, mathematical modeling and bioinformatics. We also provide many author benefits, such as free PDFs, a liberal copyright policy, special discounts on Elsevier publications and much more. Please click here for more information on our author services .