ArticleViruses2022
Enhanced Arbovirus Surveillance with High-Throughput Metatranscriptomic Processing of Field-Collected Mosquitoes.
Article in Viruses, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed, 21 citations in OpenAlex.
- Ross River virus transmission, infection, and disease: two and a half decades of research progress-an updated cross-disciplinary review.Clinical microbiology reviews · 2026Review
- The CRISPR-Cas toolkit for mosquito-borne virus surveillance: detection, tracing, and discovery.Frontiers in cellular and infection microbiology · 2026Review
- An All-in-One Metabarcoding Approach to Mosquito and Arbovirus Xenosurveillance.Molecular ecology resources · 2025Article
- Viral Metagenomic Next-Generation Sequencing for One Health Discovery and Surveillance of (Re)Emerging Viruses: A Deep Review.International journal of molecular sciences · 2025Review
- A comprehensive overview of the burden, prevention, and therapeutic aspects of arboviral diseases in India.Communications medicine · 2025Review
- Unveiling viral diversity and dynamics in mosquitoes through metagenomic analysis in Guizhou Province, China.Infectious diseases of poverty · 2025Article
- The final frontier: using carcasses for one health surveillance at the ecosystem interface.Frontiers in veterinary science · 2025Article
- Synthetic recovery of Yada Yada virus expands insect-specific alphavirus knowledge and facilitates production of chimeric viruses.Npj viruses · 2024Article
- Potential Performance of Two New RT-PCR and RT-qPCR Methods for Multiplex Detection of Dengue Virus Serotypes 1-4 and Chikungunya Virus in Mosquitoes.Current issues in molecular biology · 2024Article
- Predicting novel mosquito-associated viruses from metatranscriptomic dark matter.NAR genomics and bioinformatics · 2024Article
- Genomics for Arbovirus Surveillance: Considerations for Routine Use in Public Health Laboratories.Viruses · 2024Review
- Metatranscriptomic Sequencing of Medically Important Mosquitoes Reveals Extensive Diversity of RNA Viruses and Other Microbial Communities in Western Australia.Pathogens (Basel, Switzerland) · 2024Article
- Long-term co-circulation of multiple arboviruses in southeast Australia revealed by xeno-monitoring and viral whole-genome sequencing.Virus evolution · 2024Article
- Fine-scale genomic tracking of Ross River virus using nanopore sequencing.Parasites & vectors · 2023Article
- Latest Advances in Arbovirus Diagnostics.Microorganisms · 2023Review
- Integrated control strategies for dengue, Zika, and Chikungunya virus infections.Frontiers in immunology · 2023Review
- Harnessing artificial intelligence to enhance key surveillance and response measures for arbovirus disease outbreaks: the exemplar of Australia.Frontiers in microbiology · 2023Article
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Surveillance programs are essential for the prevention and control of mosquito-borne arboviruses that cause serious human and animal diseases. Viral metatranscriptomic sequencing can enhance surveillance by enabling untargeted, high-throughput arbovirus detection. We used metatranscriptomic sequencing to screen field-collected mosquitoes for arboviruses to better understand how metatranscriptomics can be utilised in routine surveillance. Following a significant flood event in 2016, more than 56,000 mosquitoes were collected over seven weeks from field traps set up in Victoria, Australia. The traps were split into samples of 1000 mosquitoes or less and sequenced on the Illumina HiSeq. Five arboviruses relevant to public health (Ross River virus, Sindbis virus, Trubanaman virus, Umatilla virus, and Wongorr virus) were detected a total of 33 times in the metatranscriptomic data, with 94% confirmed using reverse transcription quantitative PCR (RT-qPCR). Analysis of metatranscriptomic cytochrome oxidase I (COI) sequences enabled the detection of 12 mosquito and two biting midge species. Screening of the same traps by an established public health arbovirus surveillance program corroborated the metatranscriptomic arbovirus and mosquito species detections. Assembly of genome sequences from the metatranscriptomic data also led to the detection of 51 insect-specific viruses, both known and previously undescribed, and allowed phylogenetic comparison to past strains. We have demonstrated how metatranscriptomics can enhance surveillance by enabling untargeted arbovirus detection, providing genomic epidemiological data, and simultaneously identifying vector species from large, unsorted mosquito traps.
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