INROADS- An International Journal of Jaipur National University
  • Year: 2014
  • Volume: 3
  • Issue: 2

Orthologs Genes Finding Using Computational Approach

1Assistant Professor, School of Life Sciences, Jaipur National University, Jaipur, Rajasthan, India

2PG Student, School of Life Sciences, Jaipur National University, Jaipur, Rajasthan, India, anop.perl@gmail.com

3PG Student, School of Life Sciences, Jaipur National University, Jaipur, Rajasthan, India, mkyadav023@gmail.com

*Corresponding author Email id: sumitgowil@gmail.com

Online published on 8 October, 2015.

Abstract

Orthologs (Alexeyenko et al., 2006) genes are related by vertical descent from a common ancestor and encode proteins with the same function in different species. We have designed a computational approach to find the ortholog genes that may be responsible for individual speciation in future. Streptococcus equi subsp. zooepidemicus H70 (Churchward, 2007) was selected as a model organism due to its virulence features and potential to mutate its genome. During this study, a total of seven sequences involved in Glycolysis pathway were selected based on different time intervals in their sequencing. The scores of pairwise alignments (Needleman and Wunsch, 1970) of these sequences were obtained to find the homology among each other. Log odd scores were obtained by using alignment score to find whether the sequences are converged or diverged among each other.

Keywords

Orthologs, Log odd score, Pairwise alignment, EC Number, Homology, KEGG, Clustal-w