PP-D05

Bioinformatical Analysis on Genetic Variations in ILA Gene among the Malaria Prone Indian Populations

Mona Tandon and Jha  A

School of Studies in Biotechnology, Pt. Ravishankar Shukla University, Raipur - 492 010, India

Centre for Cellular and Molecular Biology, Uppal Road, Hyderabad 500 007, India

Corresponding author email: monadbest18@ gmail.com

[Received 15 January 2016; accepted 23 January 2016]

Abstract: Malaria is an infectious disease caused by mosquito and to the pathogens susceptibility is influenced by various genes. Their pathogenicity and protective mechanisms finds new molecular approaches to the target genes for prophylactic and therapeutic interventions. The protein encoded by this gene is a pleiotropic cytokine produced by activated T cells which is a ligand for interleukin 4 receptor (ILAR). The regulation of antibody production and functions in patients with complicated and uncomplicated malaria is still largely unknown. It inhibits macrophage-mediated killing of P. falciparum. In humans, IL4 gene regulates B cells to express the yl, y2. Y3, 74, al, a2 and E, and to secrete the related corresponding proteins. Malaria provides natural selection of protective genetic traits against disease. Present study suggested that Malaria disease promote a selection pressure in IL4 gene which leads to survive in areas where malaria is endemic. For this purpose we sequenced 240 samples from different regions of India. 144 samples were from Chhattisgarh which is highly endemic region and beside this other 96 samples were from different population of India. After doing sequencing and analyzing the result of sequencing 87 mutations were found out of which 58 mutations are novel mutation and among them 8 mutations are present on exonic region and remaining 50 are on intronic region. Further studies are required to determine that whether these mutations found in ILA gene play a beneficial role by reducing the parasite-induced inflammatory response by decreasing the cellular immune responses.

Keywords: ILA gene, Cytokine, Natural selection, Variations, Sequencing