Mostafa Meshkat; Bahar Shemshadi; Kumarss Amini
Volume 13, Issue 4 , December 2022, , Pages 597-601
Abstract
The present study was conducted to investigate the detection and identification of Cryptosporidium species via molecular techniques and evaluate the serum concentrations of inflammatory factors in Cryptosporidium species. The fecal samples (n = 256) were collected from pre-weaned (≤ 2.00 months) calves ...
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The present study was conducted to investigate the detection and identification of Cryptosporidium species via molecular techniques and evaluate the serum concentrations of inflammatory factors in Cryptosporidium species. The fecal samples (n = 256) were collected from pre-weaned (≤ 2.00 months) calves and the positive samples were identified utilizing Ziehl-Neelsen staining. Nested species-specific multiplex PCR (nssm-PCR) and restriction fragment length polymorphism (RFLP) were used to identify the species and sub-species. The serum concentrations of IL-1β, IL-6, IL-12, TNF-α, and IFN-γ were also assessed. The results revealed that 10.54% of samples were positive. The results of Nested-PCR showed that 92.59% of the samples were positive for C. parvum while 7.41% were positive for C. andersoni. The results of RFLP confirmed 92.59% of the samples for C. parvum, 3.70% for C. muris / C. andersoni, and 3.70% for C. muris. The serum concentrations of IL-1β, IL-6, IL-12, TNF-α, and IFN-γ were significantly higher in the infected calves compared to those in healthy calves. However, the serum concentration of IFN-γ was significantly higher in the calves infected with C. parvum while the serum concentrations of TNF-α and IL-6 were significantly higher in those infected with C. andersoni. In conclusion, C. parvum was prevalent in the region and the calves demonstrated inflammatory responses to Cryptosporidium species.
Ala Alkafajy; Hassan Al-Karagoly; Gholamreza Nikbakht Brujeni
Volume 11, Issue 1 , March 2020, , Pages 21-26
Abstract
Major histocompatibility complex (MHC) represents an important genetic marker for manipulation to improve the health and productivity of cattle. It is closely associated with numerous disease susceptibilities and immune responses. Bovine MHC, also called bovine leukocyte antigen (BoLA), is considered ...
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Major histocompatibility complex (MHC) represents an important genetic marker for manipulation to improve the health and productivity of cattle. It is closely associated with numerous disease susceptibilities and immune responses. Bovine MHC, also called bovine leukocyte antigen (BoLA), is considered as a suitable marker for genetic diversity studies. In cattle, most of the polymorphisms are located in exon 2 of BoLA-DRB3, which encodes the peptide-binding cleft. In this study, the polymorphism of the BoLA-DRB3.2 gene in Holstein's calves was studied using high resolution melting curve analysis (HRM). Observed HRM results were compared to PCR-RFLP and direct sequencing techniques. Eight different HRM and seven different RFLP profiles were identified among the population studied. By comparing to sequencing data, HRM could completely discriminate all genotypes (8 profiles), while the RFLP failed to distinguish between the genotypes *1101/*1001 and *1104/*1501. According to the results, the HRM analysis method gave more accurate results than RFLP by differentiating between the BoLA-DRB3.2 genotypes. Due to the Co-dominant nature of the MHC alleles, HRM technique could be used for investigating the polymorphisms of genotypes and their associations with immune responses.
Zaynab Shafieiyan; Ghodratollah Mohammadi; Abbas Jolodarzadeh; Sara Amiri
Volume 4, Issue 4 , December 2013, , Pages 265-268
Abstract
The Booroola fecundity gene (FecB) and growth differentiation factor 9 (GDF9) gene belong to the transforming growth factor β (TGF-β) superfamily. The mutations of these genes have additive effects on the prolificacy in sheep. The aim of the present study was to determine the possible mutations ...
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The Booroola fecundity gene (FecB) and growth differentiation factor 9 (GDF9) gene belong to the transforming growth factor β (TGF-β) superfamily. The mutations of these genes have additive effects on the prolificacy in sheep. The aim of the present study was to determine the possible mutations of FecB and FecGH genes in Lory sheep breed of the Lorestan province, Iran. Sixty blood samples were collected and DNA was extracted from whole fresh blood. For detection of FecB and FecGH mutations, the PCR products were incubated with AvaII and DdeI restricted enzymes. Based on the results we did not find the FecB and FecGH mutations in this sheep breed population, so these mutations cannot the cause of the high prolificacy of Lory sheep breed and more study are needed to determine the genetic or environmental causes of high prolificacy of this sheep breed.
Raheleh Majdani; Karim Mardani; Ahmad Morshedi; Mehdi Vasfi Marandi; Alireza Talebi
Volume 1, Issue 2 , September 2010, , Pages 73-81
Abstract
Rapid detection and differentiation of infectious bronchitis virus (IBV) involved in the disease outbreak is very important for controlling disease and developing new vaccines. In the present study, three regions of the genome of IBV vaccine and field isolates including S1 gene, gene 3 and nucleocapsid ...
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Rapid detection and differentiation of infectious bronchitis virus (IBV) involved in the disease outbreak is very important for controlling disease and developing new vaccines. In the present study, three regions of the genome of IBV vaccine and field isolates including S1 gene, gene 3 and nucleocapsid (N) gene along with 3' untranslated region (3' UTR) were amplified and subjected to restriction fragment length polymorphism (RFLP) using three different endonucleases. Amplicons from S1 gene and N-3’UTR generated four RFLP patterns, grouping IBV strains into four similar groups, while amplicons of gene 3 generated three RFLP patterns classifying examined IBVs in different groups from those of S1 and N-3' UTR. 4/91 strain and MNS-7862-1field isolate both belong to 793/B serotype were differentiated from each other based on gene 3, N-3’UTR and S1gene. IBVs belonged to different serotypes showed different RFLP patterns based on RFLP patterns of all three regions. S1 gene and N-3’UTR RFLP analysis differentiated IB88, MNS-7862-1 and 4/91 from each other. This is the first report on the molecular analysis of the gene 3 for IBV strain differentiation. Our results revealed that RFLP analysis of N-3’UTR and S1 gene had the higher discriminatory power than gene 3. None of the RFLP patterns of different regions differentiated 4/91 vaccine strain from its field isolate.
