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Molecular Identification of Cryptosporidium Spp. in Cows and Handlers in the Baghdad Province

Molecular Identification of Cryptosporidium Spp. in Cows and Handlers in the Baghdad Province

Heba Ali Ghanim1*, Hydear Barakat Abbas2, S Salam Ali3, Sara Ayad Ahmed4, Zaid Khalid Ahmed5, Zeid Alsadoon6

1Department of Microbiology, College of Medicine, Ibn Sina University of Medical and Pharmaceutical Sciences, Iraq; 2Department of Parasitology; College of Veterinary Medicine, University of Baghdad, Iraq; 3Department of Pathological Analysis, College of Medical Technology, Al-Farahidi University, Iraq; 4Department of Microbiology, College of Medicine, University of Anbar, Iraq; 5College of Pharmacy, Al-Turath University, Iraq; 6Microbiology Department, College of Veterinary Medicine, Wasit University, Iraq.

 
*Correspondence | Heba Ali Ghanim, Department of Microbiology, College of Medicine, Ibn Sina University of Medical and Pharmaceutical Sciences, Iraq; Email: [email protected]

ABSTRACT

his study aims to use molecular identification and phylogenetic analysis to identify the zoonotic Cryptosporidium spp. in human and cow. The total number 200 (100 human stool samples and 100 cow fecal samples were chosen at random) during the period from the September to November 2024 from different regions in private veterinary clinic and sent to the laboratory for nPCR diagnosis. The infection rate in cows was 29% out of 100 samples, while it was recorded in handler 10% out of 100 samples. Sequencing play an important role in the current study to verify the specificity and conduct a phylogenetic analysis of the samples. In this study, 10 nPCR products exhibited 100% similarity to the 18S ribosomal rRNA gene sequences of Cryptosporidium spp. from human and cow fecal samples available in GenBank. All sequences obtained were submitted to NCBI. The sequence identity between the 10 nPCR products from local isolates of Cryptosporidium spp. in cows and NCBI-BLAST Cryptosporidium spp. sequences showed 100% similarity for the cow species viz., C. parvum, C. bovis, C. andersoni, and C. ryanae. The sample also contained the species C. hominis and C. parvum for which the similarity of the 10 nPCR samples was 100%. This study explores zoonotic Cryptosporidium spp. in both human and cow fecal samples, highlighting the importance of molecular identification and phylogenetic analysis in understanding the transmission dynamics of these species; further research is recommended to explore the potential public health implications of these findings. 
 
Keywords | Phylogenetic analysis, nPCR, Cryptosporidium spp, Handlers, Cows, Zoonotic protozoa 

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Journal of Animal Health and Production

June

Vol. 13, Sp. Iss. 1

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