Molecular survey and phylogenetic analysis of tick-borne pathogens in ticks infesting cattle from two South Indian states.

In this study, the molecular survey of cattle ticks and tick-borne pathogens in various agroclimatic zones in Karnataka and Kerala states, India, and phylogenetic analysis of gene sequences were accomplished. Overall, 240 pooled tick DNA samples from two states were used for the identification of three tick genera and nine tick-borne pathogens by using the PCR method and sequencing. The distribution of Haemaphysalis (Ha.), Hyalomma (Hy.), and Rhipicephalus (R.) species were 5.0, 17.5, and 65.8% in Karnataka and 5.8, 11.7, and 65.0% in Kerala, respectively. The prevalence of Anaplasma marginale, Babesia bovis, Rickettsia species, and Trypanosoma evansi was 8.3, 0.8, 6.7, and 0.0% in Karnataka and 14.2, 0.0, 8.3, and 8.3% in Kerala, respectively. The pooled tick DNA samples were negative for Bartonella species, Borrelia species, Coxiella burnetti, Pasteurella multocida, and Theileria species. The season-wise analysis revealed a high occurrence of Ha. species in all seasons except for post-monsoon, Hy. and Rhipicephalus species in monsoon season in Karnataka, and all three tick genera were present in monsoon season in Kerala. The sequence analysis of mitochondrial cytochrome oxidase subunit 1 gene facilitated the identification of tick species namely, Ha. bispinosa, Ha. japonica, Hy. excavatum, R. annulatus, R. decoloratus, R. microplus, and R. sanguineus. The Rhipicephalus species was a major tick in these two states, and Rickettsia endosymbiont and Trypanosoma evansi in tick were detected in this study. This study represents the first report about the presence of Rickettsia massiliae in Ha. bispinosa in Karnataka and Trypanosoma evansi in R. species in Kerala. Phylogenetic analysis revealed sequence homology between the different isolates from India and neighbouring countries. Thus, the study provides key information on the distribution of ticks and tick-borne pathogens of cattle in Karnataka and Kerala, which will aid in developing and strategizing effective control measures.