A Comprehensive Molecular Survey of Babesia spp. Genetic Diversity in Kazakhstan’s Cattle Populations

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Authors: Alexandr Ostrovskii, Anara Ryskeldina, Viktoriya Lucay, Ayan Dauletov, Рашид Сагитович Кармалиев, Kassym Mukanov, Alexandr Shevtsov, Assel Akhmetova
Cited by: 1
References: 42

Abstract

Bovine babesiosis is a tick-borne disease of major veterinary and economic importance, yet molecular epidemiological data from Kazakhstan remain limited. This study investigated the prevalence, distribution, and species composition of Babesia spp. in cattle across all 17 administrative regions of Kazakhstan. A total of 6455 cattle blood samples from 171 villages were screened by nested PCR targeting the cytochrome b (cytb) gene, and positive samples were characterized by sequencing and phylogenetic analysis. The overall positive rate for Babesia spp. were 3.87% (95% CI: 3.41–4.37%). Of 250 PCR-positive samples, 215 yielded high-quality sequences and were assigned to four species: Babesia major (31.2%), B. occultans (29.6%), B. bigemina (18.0%), and B. bovis (7.2%). Marked regional heterogeneity was observed, with B. major and B. occultans predominating across most regions, whereas B. bigemina was dominant in Atyrau. Turkistan was the only region where all four species co-circulated. First molecular evidence of B. bovis and B. bigemina was obtained for Atyrau, Akmola, and West Kazakhstan regions. These findings expand current knowledge of bovine babesiosis in Kazakhstan and reveal a species composition dominated by B. major and B. occultans, contrasting with the B. bovis/B. bigemina-dominated patterns commonly reported elsewhere. The detection of pathogenic Babesia species in previously unsurveyed regions highlights the need for continued molecular surveillance.

Fields of Study & Subjects

Vector-borne infectious diseases Vector-Borne Animal Diseases Bartonella species infections research

Publication details

Journal / source
Veterinary Sciences
Publisher
MDPI AG
Volume
13
Issue
8
Pages
755–755
Publication date
29 July 2026
Language
EN