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Shakerian, A, Sharafati-Chaleshtori, R, Karshenas, Aa, Rahimi, E,
Volume 9, Issue 3 (Jul,Aug2015[PERSIAN] 2015)
Abstract

Abstract

Background and Objective: Cryptosporidium parvum is a zoonotic protozoan parasite causing diarrheal cryptosporidiosis. Numerous outbreaks of cryptosporidiosis have been reported worldwide.  The transmission via milk, water and raw animal products is one of the important ways. The aim of this study was the identification of hsp70 gene in Cryptosporidium parvum in raw cow’s milk samples.

Material and Methods: In this cross sectional study, 38 raw cow’s milk samples of bulk tank were randomly collected from traditional and semi industrial cattle farms in Isfahan.  To identify the protozoa in milk samples, the extracted DNA was evaluated by Nested polymerase chain reaction (PCR).

Results: Based on Nested polymerase chain reaction, 2 samples (5.26%) were infected to Cryptosporidium parvum.

Conclusions: The contamination of milk with Cryptosporidium Parvum is less than that of the other foodstuffs. Thus, it is necessary to reduce food contamination and to have appropriate health education programs.

Keywords: Cryptosporidium Parvum, Milk; Polymerase Chain Reaction.


Aliehsan Karshenas, Ramak Yahya Raiat, Taghi Zahraiee Salehi, Babak Asghari, Maryam Adabi,
Volume 18, Issue 2 (Mar-Apr 2024)
Abstract

Background: Escherichia coli consists of a wide range of strains with huge diversity in their genome, distributed in nature and the alimentary tracts of animals and humans. This study analyzed the phylogenetic group determination and genetic diversity of E. coli strains isolated from domestic animals and human clinical samples.
Methods: Twenty E. coli isolates from domestic animals were analyzed for phylogenetic grouping. Also, 100 clinical samples and 20 animal samples were evaluated by the enterobacterial repetitive intergenic consensus–polymerase chain reaction (ERIC-PCR) technique. The results and the similarity between the strains were determined based on the Dice similarity coefficient in the SAHN program of the NTSYS-pc software.
Results: The frequency of phylogroups among animal samples were A = 5%, B1 = 65%, B2 = 20%, and D = 10%. Based on the ERIC-PCR results, the clinical strains were allocated into 19 clusters. Most strains were in the E7 cluster. Fifty percent of the E. coli isolated from animal specimens belonged to the E4 group, and the lowest number of strains was in the E3 and E5 (1 strain) groups.
Conclusion: The results confirmed the efficiency and usefulness of the ERIC-PCR tool for the identification and classification of bacteria. Also, we demonstrated the most phylogroup among animal samples.

 

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