Computational Analysis of Distance based Phylogenetic Tree for Azotobacter Species

Phylogenetic tree is a pictorial representation of evolutionary relationships between organisms. It is important method to analyze the biological data. Phylogenetic trees are based on two methods : Distance based and Character based. Phylogenetic tree are used comparative analysis of any organism like human Beings, Animals, Bacteria, Viruses and Fungi’s etc. In this paper we compare 12 different nucleotide sequences of Azotobacter species having linear DNA of 999 BP as maximum size using substitution model and phylogenetic model. In this study two different models name P-Distance and Jukes cantor model are used and helped in finding UPGMA or Neighbour joining method efficiency in evaluating the similarity and dissimilarity of bacterial species. This paper gives influence in reconciliation of Azotobacter species to produce phylogram with informative branch lengths. This further leads to analyze and understand various expressive characters of Azotobacter in agriculture field.