Comparative Genome analysis of Plasmodium sp. and identification of unique signature with Next Generation Sequencing Technology

1. Harshida Gadhavi¹,
2. Maulik Patel¹,
3. Tanushree Tiwari²,
4. Parantap Pandya¹,
5. Saumya Patel¹,
6. Rakesh M. Rawal^3* ,
7. Himanshu A. Pandya¹

Authors Affiliation(s)

• ¹Department of Botany, Bioinformatics and Climate change impacts management, University School of Sciences, Navrangpura, Ahmedabad 380009, INDIA
• ²York University, Toronto, Ontario, CANADA
• ³Department of Life Sciences, University School of Sciences, Gujarat University, Navrangpura, Ahmedabad 380009, INDIA

Can J Biotech, Volume 1, Special Issue, Page 30, DOI: https://doi.org/10.24870/cjb.2017-a18

*Corresponding author: rakeshmrawal@gmail.com

Abstract

Malaria is a malignant disease which is growing all over the world and its causative agent. Plasmodium species easily develops resistant to commonly used antimalarial drugs easily. These empower different strains of Plasmodium e.g. Plasmodium falciparum and Plasmodium vivax to infect humans with malaria. To get the deeper molecular insights, next generation sequencing data were used for further analysis as it has shifted the paradigm of genomics to address biological questions with high confidence and in timely manner. The short reads for above mentioned parasites were retrieved from SRA (Sequence read archive) and de novo assembly was performed. Several novel genes along with known genes were predicted from assembled contigs, Functional annotation followed by gene ontology and pathway analysis. Comparison between species gave structural and functional diversity of the specific genes responsible for disease condition which further can be studied for disease biology.