Molecular Characterization of Heat Shock Protein 70-1 Gene of Goat (Capra hircus)

Heat shock protein 70 (HSP 70) plays a vital role by bestowing cytoprotection against diverse kinds of stresses. The ubiquitous HSP 70 proteins are the most abundant and temperature sensitive among all the HSPs. The present paper has characterized HSP70-1 cDNA in goat (Capra hircus). Total RNA isolated from goat peripheral blood mononuclear cells was reverse transcribed to cDNA that was used for amplification of HSP 70-1 gene. PCR product (1926 bp) was cloned in pGEM-T easy vector and sequenced. Sequence analysis revealed 1926-bp-long open reading frame of HSP 70-1 gene encoding 641 amino acids in goat, as reported in cattle. At nucleotide level, goat HSP 70-1 was found to be 96–99% similar to that of sheep (partial), cattle, and buffalo whereas the similarity at amino acid level was 95–100%. Nonsynonymous substitutions exceeding synonymous substitutions indicate the evolution of this protein through positive selection among domestic animals. Goat and sheep appear to have diverged from a common ancestor in phylogenetic analysis. Predicted protein structures of goat HSP 70 protein obtained from deduced amino acid sequence indicated that the functional amino acids involved in chaperoning through ATPase hydrolytic cycle and in uncoating of clathrin coated vesicles are highly conserved

Interferon Alpha Characterization and Its Comparative Expression in PBM Cells of Capra hircus and Antelope cervicapra Cultured in the Presence of TLR9 Agonist

TLR9 plays pivotal role in innate immune responses through upregulation of costimulatory molecules and induction of proinflammatory cytokines like type I interferons including interferon alpha (IFNA). The present study characterized IFNA cDNA and predicted protein sequences in goat and black buck. Response of the PBM cells to TLR9 agonist CpG ODN C and Phorbol Myristate Acetate (PMA) was evaluated by realtime PCR. IFNA coding sequences were amplified from leukocyte cDNA and cloned in pGEMT-easy vector for nucleotide sequencing. Sequence analysis revealed 570 bp, IFNA ORF encoding 189 amino acids in goat and black buck. Black buck and goat IFNA has 92.1% to 94.7% and 93% to 95.6% similarity at nucleotide level, 86.3% to 89.5% and 70.9% to 91.6% identity at amino acid level with other ruminants, respectively. Nonsynonymous substitutions exceeding synonymous substitutions indicated IFNA evolved through positive selection among ruminants. In spite of lower total leukocyte count, the innate immune cells like monocytes and neutrophils were more in black buck compared to goat. In addition, CpG ODN C-stimulated PBM cells revealed raised IFNA transcript in black buck than goat. These findings indicate sturdy genetically governed immune system in wild antelope black buck compared to domestic ruminant goat

Sequence Characterization of Mitochondrial 12S rRNA Gene in Mouse Deer (Moschiola indica) for PCR-RFLP Based Species Identification

Mitochondrial 12S rRNA has proven to be a useful molecular marker for better conservation and management of the endangered species. Polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) of the mitochondrial 12S rRNA gene has proven to be a reliable and efficient tool for the identification of different Indian deer species of family cervidae. In the present study, mitochondrial 12S rRNA gene sequence of mouse deer (Moschiola indica) belonging to the family Tragulidae was characterized and analysed in silico for its use in species identification. Genomic DNA was isolated from the hair follicles and mitochondrial 12S rRNA gene was amplified using universal primers. PCR product was cloned and sequenced for the first time. The sequence of mouse deer showed 90.04, 90.08, 90.04, 91.2, 90.04, and 90.08% identities with sika deer, sambar, hog deer, musk deer, chital, and barking deer, respectively. Restriction mapping in Lasergene (DNAstar Inc., Madison, WI, USA) revealed that mouse deer mitochondrial 12S rRNA gene sequence can be differentiated from the other deer species in PCR-RFLP using RsaI, DdeI, BsrI, and BstSFI. With the help of predicted pattern, mouse deer can be identified using genomic DNA from a variety of biomaterials, thereby providing molecular aid in wildlife forensics and conservation of the species