Evidence map›Paper›PMID 41082531›Full record

ArticlePloS one2025

Identification and genetic characterization of Jingmen tick virus from ticks sampled in select regions of Kenya; 2022-2024.

Lydia Mwasi, Samoel Khamadi, Wallace Bulimo, Johnson Kinyua, Santos Yalwala, Luis Pow Sang, Haynes Robert, Gerald G Kellar, John Eads, Fredrick Eyase

Abstract read
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Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Lydia MwasiKenya Medical Research Institute, Center for Global Health Research, Kisumu, Kenya.ORCID https://orcid.org/0000-0003-4423-4151
Samoel KhamadiKenya Medical Research Institute, Centre for Virus Research, Nairobi, Kenya.
Wallace BulimoKenya Medical Research Institute, Centre for Virus Research, Nairobi, Kenya.ORCID https://orcid.org/0000-0001-8475-0586
Johnson KinyuaJomo Kenyatta University of Agriculture and Technology (JKUAT), Nairobi, Kenya.
Santos YalwalaWalter Reed Army Institute of Research-Africa/Kenya Medical Research Institute, Kisumu, Kenya.
Luis Pow SangWalter Reed Army Institute of Research-Africa, Nairobi, Kenya.
Haynes RobertWalter Reed Army Institute of Research-Africa, Nairobi, Kenya.ORCID https://orcid.org/0000-0002-0823-8537
Gerald G KellarWalter Reed Army Institute of Research-Africa, Nairobi, Kenya.
John EadsWalter Reed Army Institute of Research-Africa, Nairobi, Kenya.
Fredrick EyaseKenya Medical Research Institute, Centre for Virus Research, Nairobi, Kenya.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Jingmen tick virus (JMTV), an emerging segmented RNA virus classified as an ungrouped flavivirus, poses a growing public health concern globally. Known for its association with febrile illnesses and wide host range, JMTV has been detected in Rhipicephalus, Hyalomma, and Amblyomma ticks collected from cattle, goats, sheep, camels, and chickens in pastoral regions of Kenya, including Baringo, Mandera, Malindi, Lamu, Mombasa, Wajir, Isiolo, and West Pokot. Using viral metagenomics next-generation sequencing, this study analysed adult ticks (n = 1629, 72 pools). A total of 53% (38/72) pools were positive for at least one viral pathogen, with JMTV detected in 87% (33/38) of these pools across all study sites. Phylogenetic analyses revealed evidence of distinct Kenyan JMTV strains, with sequence segments from Malindi and Wajir clustering uniquely in their own clade; suggesting potential localised evolutionary pressures. Time calibrated phylogeny for the segment 1(RdRp) suggested varied ancestral origins and evolutionary relationships for the JMTV strains. MEME, BUSTED and FUBAR methods implemented in the Data-Monkey, unanimously identified codon 290 in segment 1 and 30 in segment 4 to be undergoing episodic positive selection. Recombination analysis performed using the RDP4 recombination detection tool indicated a recombination event in segment 2 of the Lamu JMTV strain that was confirmed by seven detection methods of the RDP4 tool and visualised in BootScan. These findings suggest that Kenyan JMTV strains are undergoing positive selection, potentially driven by unique ecological and host factors. Segmented genome evidence of recombination highlights the increasing virus's potential for antigenic diversity. Host diversity and virus phylogenetic patterns underscore the zoonotic potential and its capacity for regional spread, emphasizing the critical need for enhanced vector surveillance. Temporal and ecological drivers like seasonal tick activity and livestock movement warrant investigation to elucidate JMTV transmission dynamics. Prioritizing tick-borne virus surveillance in Kenya will strengthen public health strategies and mitigates emerging viral risks.

Indexed as

FlavivirusTicksAnimalsCattleGenome, ViralHigh-Throughput Nucleotide SequencingKenyaPhylogeny

Identifiers

PMID41082531
PMCPMC12517476

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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.