A fuzzy weighted least squares approach to construct phylogenetic network among subfamilies of grass species

摘要

Phylogenetic networks are considered as the structuresthat are used to understand the evolutionary pathways among the differentorganisms. Evolutionary relations are due to the preservence of mutations insequences, occurred due to non-tree like events like horizontal gene transfer,Homoplasy, sexual hybridization and recombination, etc. The effective andefficient reconstruction of the networks for these events is an challengingtask in computational biology. In this article, a Fuzzy Weighted Least Squares(FWLS) approach is developed and employed to detect these events in commonlyknown species of grasses. The results obtained by the proposed method predictsthe possibility of hybridization or recombination among the inter clusterspecies i.e., Oryza and Triticum and intra cluster species i.e. Bentgrass andBrachypodium. Results also provide the optimized values of Q incomparision to the other available least squares method and thus error level isalso minimized.