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Epidemiological analysis of cattle ticks and tick-borne pathogens in Gadag district, Karnataka state in India.

Krishnamoorthy ParamanandhamNahid ParweenTadaga Revanaiah SangeethaSiju Susan JacobShashidharVeerabhadrappa BallariKuralayanapalya Puttahonappa Suresh
Published in: Journal of parasitic diseases : official organ of the Indian Society for Parasitology (2023)
In the present study, epidemiological analysis on 839 ticks collected from 50 cattle in Gadag district, Karnataka state, tick identification and detection of tick-borne pathogens was conducted by PCR, sequencing, and phylogeny. The morphological identification revealed that Haemaphysalis spp. [48.6%], Rhipicephalus spp. [48.4%], and Hyalomma spp. [3.0%] tick genera in Gadag district. Further, a higher infestation of Haemaphysalis spp. [69.0%] and Rhipicephalus spp. [62.3%] in Shirahatti and Gadag taluk, respectively was observed. Based on the taluk-wise and tick genus-wise analysis, a higher number of ticks was present in the dewlap region of cattle body sites, except for Hyalomma spp., the majority of which was present in the neck. Tick genus prevalence was 45.1, 42.7%, and 12.2 for Haemaphysalis spp., Rhipicephalus spp., and Hyalomma spp., respectively. The mean tick per cattle was 11.6, 11.0, and 2.5 for Rhipicephalus spp., Haemaphysalis spp., and Hyalomma spp., respectively. The prevalence of Anaplasma marginale , Babesia spp., and Rickettsia rickettsii was 8.0, 6.4, and 6.4%, respectively in the tick DNA samples and was negative for Ehrlichia and Theileria spp. The sequencing of the cytochrome oxidase subunit 1 gene revealed the presence of Haemaphysalis bispinosa , Rhipicephalus decoloratus , and Rhipicephalus microplus tick species in the Gadag district. The phylogenetic analysis revealed the tick species have similarities and identity with the isolates from India and neighboring countries. Thus, the study provides knowledge on tick genus distribution and tick-borne pathogens in Gadag district, Karnataka which will help in developing the control and prevention strategies by the policymakers and for profitable dairy farming by farmers.
Keyphrases
  • south africa
  • single cell
  • dna methylation
  • single molecule
  • risk factors
  • gene expression
  • data analysis
  • multidrug resistant
  • cell free
  • quantum dots
  • sensitive detection
  • real time pcr