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Simultaneous Detection and Genome Analysis of the Kindia Tick Virus in Cattle and Rhipicephalus Ticks in the Republic of Guinea. / Kartashov, Mikhail Yu; Krivosheina, Ekaterina I.; Naidenova, Ekaterina V. et al.

In: Vector-Borne and Zoonotic Diseases, 23.05.2025.

Research output: Contribution to journalArticlepeer-review

Harvard

Kartashov, MY, Krivosheina, EI, Naidenova, EV, Zakharov, KS, Shvalov, AN, Boumbaly, S, Ternovoi, VA & Loktev, VB 2025, 'Simultaneous Detection and Genome Analysis of the Kindia Tick Virus in Cattle and Rhipicephalus Ticks in the Republic of Guinea', Vector-Borne and Zoonotic Diseases. https://doi.org/10.1089/vbz.2024.0056

APA

Kartashov, M. Y., Krivosheina, E. I., Naidenova, E. V., Zakharov, K. S., Shvalov, A. N., Boumbaly, S., Ternovoi, V. A., & Loktev, V. B. (2025). Simultaneous Detection and Genome Analysis of the Kindia Tick Virus in Cattle and Rhipicephalus Ticks in the Republic of Guinea. Vector-Borne and Zoonotic Diseases. https://doi.org/10.1089/vbz.2024.0056

Vancouver

Kartashov MY, Krivosheina EI, Naidenova EV, Zakharov KS, Shvalov AN, Boumbaly S et al. Simultaneous Detection and Genome Analysis of the Kindia Tick Virus in Cattle and Rhipicephalus Ticks in the Republic of Guinea. Vector-Borne and Zoonotic Diseases. 2025 May 23. doi: 10.1089/vbz.2024.0056

Author

Kartashov, Mikhail Yu ; Krivosheina, Ekaterina I. ; Naidenova, Ekaterina V. et al. / Simultaneous Detection and Genome Analysis of the Kindia Tick Virus in Cattle and Rhipicephalus Ticks in the Republic of Guinea. In: Vector-Borne and Zoonotic Diseases. 2025.

BibTeX

@article{4608b055fbcd4498a1f33f7a87cdd7cd,
title = "Simultaneous Detection and Genome Analysis of the Kindia Tick Virus in Cattle and Rhipicephalus Ticks in the Republic of Guinea",
abstract = "Background: Over the past decade, numerous new tick-associated flavi-like viruses with segmented genomes have been discovered almost worldwide. Kindia tick virus (KITV) was first detected in Rhipicephalus geigyi ticks in West Africa in 2017. The current study aimed to detect viral RNA in tick and cattle samples collected in Guinea and to perform complete sequencing of KITV isolates and their analysis. Methods: Adult ticks and blood samples were collected from cattle in Coyah, Dubr{\'e}ka, For{\'e}cariah, and Kindia prefectures of the Republic of Guinea in 2022. These samples were tested for KITV infection by RT-PCR with primers targeting the NS5 gene. Positive probes were sequenced using Illumina technology, and their analysis was performed for obtaining complete sequences of all KITV segments. Results: The RNA of the KITV was detected by RT-PCR in Rh. geigyi, Rh. annulatus ticks, and blood samples of cattle. The prevalence rates for cattle were 6.6%, for Rh. annulatus 6.9%, and for Rh. geigyi ticks 10.7%. The analysis of 15 complete sequences of KITV genomes showed 99.61-99.67% identity for amino acid sequences for segments 1 and 4 and 97.88-98.83% for segments 2 and 3 with previously detected KITV isolate in Guinea in 2017. Phylogenetic analysis demonstrated that obtained KITV sequences can be classified as typical for clade A of the Jingmen tick virus (JMTV) group together with Mogiana tick virus. Conclusion: The KITV isolates from cattle and feeding ticks show practically full identity sequences for all four viral segments, and these sequences can be classified as clade A of the segmented flavi-like virus JMTV group.",
keywords = "Guinea, Jingmen tick virus, Kindia tick virus, West Africa, cattle, tick",
author = "Kartashov, {Mikhail Yu} and Krivosheina, {Ekaterina I.} and Naidenova, {Ekaterina V.} and Zakharov, {Kirill S.} and Shvalov, {Alexander N.} and Sanaba Boumbaly and Ternovoi, {Vladimir A.} and Loktev, {Valery B.}",
year = "2025",
month = may,
day = "23",
doi = "10.1089/vbz.2024.0056",
language = "English",
journal = "Vector-Borne and Zoonotic Diseases",
issn = "1557-7759",
publisher = "Mary Ann Liebert Inc.",

}

RIS

TY - JOUR

T1 - Simultaneous Detection and Genome Analysis of the Kindia Tick Virus in Cattle and Rhipicephalus Ticks in the Republic of Guinea

AU - Kartashov, Mikhail Yu

AU - Krivosheina, Ekaterina I.

AU - Naidenova, Ekaterina V.

AU - Zakharov, Kirill S.

AU - Shvalov, Alexander N.

AU - Boumbaly, Sanaba

AU - Ternovoi, Vladimir A.

AU - Loktev, Valery B.

PY - 2025/5/23

Y1 - 2025/5/23

N2 - Background: Over the past decade, numerous new tick-associated flavi-like viruses with segmented genomes have been discovered almost worldwide. Kindia tick virus (KITV) was first detected in Rhipicephalus geigyi ticks in West Africa in 2017. The current study aimed to detect viral RNA in tick and cattle samples collected in Guinea and to perform complete sequencing of KITV isolates and their analysis. Methods: Adult ticks and blood samples were collected from cattle in Coyah, Dubréka, Forécariah, and Kindia prefectures of the Republic of Guinea in 2022. These samples were tested for KITV infection by RT-PCR with primers targeting the NS5 gene. Positive probes were sequenced using Illumina technology, and their analysis was performed for obtaining complete sequences of all KITV segments. Results: The RNA of the KITV was detected by RT-PCR in Rh. geigyi, Rh. annulatus ticks, and blood samples of cattle. The prevalence rates for cattle were 6.6%, for Rh. annulatus 6.9%, and for Rh. geigyi ticks 10.7%. The analysis of 15 complete sequences of KITV genomes showed 99.61-99.67% identity for amino acid sequences for segments 1 and 4 and 97.88-98.83% for segments 2 and 3 with previously detected KITV isolate in Guinea in 2017. Phylogenetic analysis demonstrated that obtained KITV sequences can be classified as typical for clade A of the Jingmen tick virus (JMTV) group together with Mogiana tick virus. Conclusion: The KITV isolates from cattle and feeding ticks show practically full identity sequences for all four viral segments, and these sequences can be classified as clade A of the segmented flavi-like virus JMTV group.

AB - Background: Over the past decade, numerous new tick-associated flavi-like viruses with segmented genomes have been discovered almost worldwide. Kindia tick virus (KITV) was first detected in Rhipicephalus geigyi ticks in West Africa in 2017. The current study aimed to detect viral RNA in tick and cattle samples collected in Guinea and to perform complete sequencing of KITV isolates and their analysis. Methods: Adult ticks and blood samples were collected from cattle in Coyah, Dubréka, Forécariah, and Kindia prefectures of the Republic of Guinea in 2022. These samples were tested for KITV infection by RT-PCR with primers targeting the NS5 gene. Positive probes were sequenced using Illumina technology, and their analysis was performed for obtaining complete sequences of all KITV segments. Results: The RNA of the KITV was detected by RT-PCR in Rh. geigyi, Rh. annulatus ticks, and blood samples of cattle. The prevalence rates for cattle were 6.6%, for Rh. annulatus 6.9%, and for Rh. geigyi ticks 10.7%. The analysis of 15 complete sequences of KITV genomes showed 99.61-99.67% identity for amino acid sequences for segments 1 and 4 and 97.88-98.83% for segments 2 and 3 with previously detected KITV isolate in Guinea in 2017. Phylogenetic analysis demonstrated that obtained KITV sequences can be classified as typical for clade A of the Jingmen tick virus (JMTV) group together with Mogiana tick virus. Conclusion: The KITV isolates from cattle and feeding ticks show practically full identity sequences for all four viral segments, and these sequences can be classified as clade A of the segmented flavi-like virus JMTV group.

KW - Guinea

KW - Jingmen tick virus

KW - Kindia tick virus

KW - West Africa

KW - cattle

KW - tick

UR - https://www.mendeley.com/catalogue/cabc64b6-5b33-3888-8e62-777e4ed47c37/

UR - https://www.scopus.com/record/display.uri?eid=2-s2.0-105006630253&origin=inward&txGid=da72bfd13bf297313e2d17f8161a3898

UR - https://pubmed.ncbi.nlm.nih.gov/40405773/

U2 - 10.1089/vbz.2024.0056

DO - 10.1089/vbz.2024.0056

M3 - Article

C2 - 40405773

JO - Vector-Borne and Zoonotic Diseases

JF - Vector-Borne and Zoonotic Diseases

SN - 1557-7759

ER -

ID: 67407437