Abstract
Ticks are important carriers and reservoirs of pathogens, causing a number of diseases in humans and animals, causing significant damage to livestock. The search for and study of bacterial communities associated with ticks living in Kazakhstan are of the greatest relevance.
In this study, we characterized the microbial communities of ticks collected from cattle in eight different regions of Kazakhstan. Unique and common bacterial taxa identified in tick samples were analyzed using 16S rRNA metagenomic sequencing data. The following bacterial taxa were identified by region of Kazakhstan: West Kazakhstan region (WKR) 24 (45.28%), Abay region 21 (39.62%), East Kazakhstan region (EKR) 20 (37.74%), North Kazakhstan region (NKR) 20 (37.74%), Almaty region 18 (33.96%), Zhambyl region 17 (32.08%), Aktobe region 10 (18.87%), and Turkestan region 10 (18.87%).
During the work, various pathogenic bacteria of the families Moraxellaceae, Rhodobacteraceae, Ehrlichiaceae, Burkholderiaceae, Campylobacteraceae, Chlamydiaceae, Enterobacteriaceae, Peptostreptococcaceae, Crocodylidae, Enterobacteriaceae, Enterobacteriaceae, Vibrionaceae, Pseudomonadaceae, Lactobacillaceae, Microbacteriaceae, Mycoplasmataceae, Bacillaceae, Paenibacillaceae, Erwiniaceae, Pseudomonadaceae, Staphylococcaceae, Streptococcaceae were identified in ticks in the studied areas of Kazakhstan in 2024. The most frequently encountered bacteria included Acinetobacter baumannii, Escherichia coli, Klebsiella pneumoniae, Staphylococcus aureus, Campylobacter jejuni, as well as a representative of the genus Rickettsia as a pathogen/endosymbiont.
To assess statistically significant differences in the level of microbiota alpha diversity between the regions, an analysis of variance (ANOVA) was performed. The significance threshold was p<0.05. The significance level: α=0.05. All statistical calculations were performed in Python 3.11 using the scipy.stats libraries. The analysis was performed using the alpha diversity indices: Chao1, Shannon and Pielou. All three indices Chao 1, p-value < 0.0001, Shannon, p-value < 0.0001, Pielou p-value/0.0319 < 0.05, show statistically significant differences between the regions according to the ANOVA test. This means that for all three indices, diversity varies significantly between the regions.
Thus, it can be concluded that microbial communities in different regions are characterized by a similar level of diversity, with small but statistically acceptable variations. These differences can be due to both environmental factors and the specific species composition of ticks in each region.