ArticleiMetaOmics2025
Towards tick virome and emerging tick-borne viruses: Protocols, challenges and perspectives.
Article in iMetaOmics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed.
- Meta-transcriptomic characterization reveals viral species with zoonotic potential in Rhipicephalus microplus and Haemaphysalis bispinosa ticks in Pakistan.Veterinary research · 2026Article
- Diverse virome and potential pathogens in five tick species from metropolis surroundings of Beijing and Tianjin, China.NPJ biofilms and microbiomes · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Emerging tick-borne viruses are considered a significant public health threat. The understanding of the tick virome has been revolutionized by high-throughput meta-transcriptomic sequencing, and numerous novel pathogens have been unveiled. However, effective data integration and comparative analyses have been hindered by inconsistent research protocols. In response, standardized protocols are proposed, covering field surveys, sample processing, sequencing library construction, virus assembly, phylogenetic analysis, and classification, offering a unified framework for tick-virome research. Key challenges such as sampling representations, sequencing contamination, and classification discrepancies are also discussed. Furthermore, future perspectives on leveraging bioinformatics and machine learning to trace virus evolution, elucidate virus-tick-host interactions, and enhance surveillance in high-risk areas are outlined in our work. Ultimately, special emphasis is placed on the vital significance of worldwide cooperation and data sharing, which is essential for refining methodologies and guiding targeted interventions to mitigate emerging tick-borne diseases.
Identifiers
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.