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Molecular characterization of lumpy skin disease virus in North Central Vietnam during 2021 and early 2022.

In October 2020, the first outbreaks of lumpy skin disease (LSD) in Lang Son Province, Vietnam were reported by our laboratory. The disease had rapidly spread to the South, and it was reported in 55 of 63 provinces and cities of Vietnam by the end of 2021. The most economic loss caused by this disease occurred in the north-central region in 2021 where approximately 46,788 LSD virus (LSDV) infected cattle and buffaloes have been reported and 8,976 animals have been culled. However, the information on this pathogen circulating in this region is missing. Here, we describe the molecular characterization of LSDV circulating in north-central Vietnam in 2021 and early 2022. In total, 155 LSDV samples were collected during this period and three of these samples from each province were further characterized by Sanger sequencing analysis based on three key maker genes (GPCR, RPO30, and p32). Sequence comparison and phylogenetic analysis based on GPCR, RPO30, and p32 genes indicated that LSDV strains circulating in north-central Vietnam are closely related to previously reported strains in Vietnam regions which bordered China and all LSDV strains were 100% identical. These results show the importance of continuous monitoring and characterization of circulating LSDV strains and are important for vaccine development for the control and eradication of LSD in Vietnam.

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Comprehensive genetic analysis of the first near-complete genome of bovine coronavirus and partial genome of bovine rotavirus in Türkiye through metagenomics.

Obtaining the complete or near-complete genome sequence of pathogens is becoming increasingly crucial for epidemiology, virology, clinical science and practice. This study aimed to detect viruses and conduct genetic characterization of genomes using metagenomics in order to identify the viral agents responsible for a calf's diarrhoea. The findings showed that bovine coronavirus (BCoV) and bovine rotavirus (BRV) are the primary viral agents responsible for the calf's diarrhoea. The current study successfully obtained the first-ever near-complete genome sequence of a bovine coronavirus (BCoV) from Türkiye. The G+C content was 36.31% and the genetic analysis revealed that the Turkish BCoV strain is closely related to respiratory BCoV strains from France and Ireland, with high nucleotide sequence and amino acid identity and similarity. In the present study, analysis of the S protein of the Turkish BCoV strain revealed the presence of 13 amino acid insertions, one of which was found to be shared with the French respiratory BCoV. The study also identified a BRV strain through metagenomic analysis and detected multiple mutations within the structural and non-structural proteins of the BRV strain, suggesting that the BRV Kirikkale strain may serve as an ancestor for reassortants with interspecies transmission, especially involving rotaviruses that infect rabbits and giraffes.

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SPREAD: Spatiotemporal Pathogen Relationships and Epidemiological Analysis Dashboard.

In the scope of public health, the rapid identification and control of infectious disease outbreaks are a paramount concern. Traditional surveillance methods often face challenges in effectively combining genetic, geographical, and temporal data, which is crucial for a comprehensive understanding of disease transmission dynamics. Addressing this critical need, the Spatiotemporal Phylogenomic Research and Epidemiological Analysis Dashboard (SPREAD) emerges as an innovative standalone web-based application. SPREAD integrates several modules for detailed genomic relationships, pinpointing genetically close pathogens, and spatial mapping, providing in-depth views of how diseases spread across populations and territories, with significant advantage to manage both bacteria and viruses based on allele and variant calling, respectively. Designed for broad accessibility, SPREAD operates seamlessly within web browsers, eliminating the need for sophisticated IT infrastructure and facilitating its use across various public health contexts. Its intuitive interface ensures that users can effortlessly navigate complex datasets, facilitating widespread access to advanced surveillance capabilities. Through its initial deployments, SPREAD has proven instrumental in quickly identifying transmission clusters, significantly aiding in the formulation of prompt and targeted public health responses. Through the integration of state-of-the-art technology with a focus on user-centered design, SPREAD offers a promising solution that highlights the potential of digital health innovations.

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