Genetic Effect Of Interferon Gamma On Bovine Resistance Against Mycobecterium Bovis
By: Syed Ahmed Raza Rizvi (2012-VA-819) | Dr. Maryam Javed.
Contributor(s): Dr. Tanveer Hussain | Dr. Muhammad Tayyab.
Material type: BookPublisher: 2015Description: 64p.Subject(s): Molecular Biology and BiotechnologyDDC classification: 2419-T Dissertation note: Bovine tuberculosis is a disease caused by the species included in the Mycobacterium tuberculosis complex. IFN-GAMMA are a family of conserved innate immune recognition receptors that trigger adaptive immune responses. IFN-GAMMA play an important role in host defense against mycobacteria, especially by mediating the response to mycobacterial triacylated lipopeptides. The objective of this study is the identification of single nucleotide polymorphisms within the coding region of IFN-GAMMA gene to evaluate its potential for enhanced the resistance to bovine tuberculosis in Nili-Ravi buffalo breed. Fifty blood samples of Nili-Ravi breed were collected from UVAS Pattoki Campus, Research Farm B and Buffalo Research Institute (BRI) Pattoki. Inorganic method was used for DNA extraction, for amplification of the coding region of IFN-GAMMA gene PCR (Polymerase Chain Reaction) was used using specially designed primers and the PCR products were sequenced through Sanger’s Chain Termination method. For the analysis and alignment of sequencing the results obtained after sequencing were analyzed and aligned using the CLUSTAL W and BLAST software. After all these analysis Ten SNPs were identified in the coding region of IFNG mentioned in table. The Eight SNPs identified in the coding region of INTERFERON GAMMA were in this order P1 C>T, P2 T>C, P3 T>C, P4 T>C, P5 T>C, P6 C >T, P7 T>C, and P8 C >T. The one SNP found in the current research is in compliance with the (Sun et al. 2012) research on INTERFERON GAMMA hence Nine SNPs found in the current research are novel in Nili Ravi buffalo. Research on IFN-GAMMA hence Seven SNPs found in the current research are novel in Nili Ravi buffalo. The SNPs in the exonic region that is P1 C>T, P2 T>C, P3 T>C, P4 T>C, P5 T>C, P6 C >T, P7 T>C, P8 C >T, among them four were transitions and four were transversion . Population genetic analysis and allelic distribution at all loci was analyzed using Summary 57 POPGENE 32 software indicated that at [P3=0.354539>0.05] , [P5=0.365524>0.05]followed the assumptions of the Hardy-Weinberg equilibrium indicating that the alleles were randomly distributed throughout the population, no migration had occurred, no bottlenecks happened and population remained large in numbers. This Non-significant and obeying HWE, so can be potential marker for genetic selection. At [P1= 0.000032< 0.05], [P2=0.038766< 0.05] and [P7=000394< 0.05] the probability value below 0.05 indicated that population at these polymorphic sites was not obeying Hardy-Weinberg equilibrium. This indicated that at these positions alleles were not equally distributed in population. It can be concluded from my research that the SNPs identified in the current research may also hold potential for marker-assisted breeding programs, with the aim of breeding more BTB-resistant animals and herds within both the national farms and the private sector.Item type | Current location | Collection | Call number | Status | Date due | Barcode | Item holds |
---|---|---|---|---|---|---|---|
Thesis | UVAS Library Thesis Section | Veterinary Science | 2419-T (Browse shelf) | Available | 2419-T |
Bovine tuberculosis is a disease caused by the species included in the Mycobacterium tuberculosis complex. IFN-GAMMA are a family of conserved innate immune recognition receptors that trigger adaptive immune responses. IFN-GAMMA play an important role in host defense against mycobacteria, especially by mediating the response to mycobacterial triacylated lipopeptides.
The objective of this study is the identification of single nucleotide polymorphisms within the coding region of IFN-GAMMA gene to evaluate its potential for enhanced the resistance to bovine tuberculosis in Nili-Ravi buffalo breed. Fifty blood samples of Nili-Ravi breed were collected from UVAS Pattoki Campus, Research Farm B and Buffalo Research Institute (BRI) Pattoki. Inorganic method was used for DNA extraction, for amplification of the coding region of IFN-GAMMA gene PCR (Polymerase Chain Reaction) was used using specially designed primers and the PCR products were sequenced through Sanger’s Chain Termination method. For the analysis and alignment of sequencing the results obtained after sequencing were analyzed and aligned using the CLUSTAL W and BLAST software. After all these analysis Ten SNPs were identified in the coding region of IFNG mentioned in table. The Eight SNPs identified in the coding region of INTERFERON GAMMA were in this order P1 C>T, P2 T>C, P3 T>C, P4 T>C, P5 T>C, P6 C >T, P7 T>C, and P8 C >T. The one SNP found in the current research is in compliance with the (Sun et al. 2012) research on INTERFERON GAMMA hence Nine SNPs found in the current research are novel in Nili Ravi buffalo. Research on IFN-GAMMA hence Seven SNPs found in the current research are novel in Nili Ravi buffalo. The SNPs in the exonic region that is P1 C>T, P2 T>C, P3 T>C, P4 T>C, P5 T>C, P6 C >T, P7 T>C, P8 C >T, among them four were transitions and four were transversion .
Population genetic analysis and allelic distribution at all loci was analyzed using
Summary
57
POPGENE 32 software indicated that at [P3=0.354539>0.05] , [P5=0.365524>0.05]followed the assumptions of the Hardy-Weinberg equilibrium indicating that the alleles were randomly distributed throughout the population, no migration had occurred, no bottlenecks happened and population remained large in numbers. This Non-significant and obeying HWE, so can be potential marker for genetic selection. At [P1= 0.000032< 0.05], [P2=0.038766< 0.05] and [P7=000394< 0.05] the probability value below 0.05 indicated that population at these polymorphic sites was not obeying Hardy-Weinberg equilibrium. This indicated that at these positions alleles were not equally distributed in population. It can be concluded from my research that the SNPs identified in the current research may also hold potential for marker-assisted breeding programs, with the aim of breeding more BTB-resistant animals and herds within both the national farms and the private sector.
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