Star network analysis of sequence based identified Yarrowia lipolytica strains

Aim: The objectives of this study are, first, to investigate a star network analysis of phylogenetic trees of identified Y. lipolytica strains with or without one out-group, and secondly, to show the redundancy of the out-groups in phylogenetic tree. Material and Methods: In this study we used 22 Yarrowia lipolytica strains which were identified with sequencing of D1/D2 domain of 26S rDNA region, two phylogenetic trees were reconstructed by the neighbor joining method including an out-group or not. The star- like weighted network analysis of these two phylogenetic trees was investigated. Results: The adjacency matrix formalism of our weighted phylogenetic network with the out- group looks like a directed star graph adjacency matrix. The lowest weight is the edge from the central node to Candida sake out-group (0.00008) corresponding to the narrowest edge. However, the edge going from central node to Yarrowia lipolytica TEM YL 19 has a weight of 0.0825 and the thickest structure. Conclusion: Thus network analysis show that phylogenetic relationship between close strain and subspecies can be confirmed and also the out-group in this phylogenetic tree is unnecessary due to the negligible change in the average weighted degree and its some