STUDY ON ANALYSIS OF PHYLOGENETIC TREE OF MULBERRY (Morus) GENOME
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Date
2017-08-08
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UNIVERSITY OF AGRICULTURAL SCIENCES GKVK, BENGALURU
Abstract
Phylogenetic tree is constructed in order to know the ancestral relationship of a
set of sequences, designing more effective drugs, tracing the transmission of deadly
viruses. It also plays predominant role in conservation of biodiversity, to analyze
quantitative behavior of phylogenetic and effective heuristics of obtaining accurate trees.
The study has been conducted to know higher accuracy from efficient algorithm to
inferring phylogenetic relationship among Mulberry (Morus) species. A total of 609
Morus genome sequences were acquisition from the NCBI dataset. Morus species is the
primary host of silkworms (Bombyx mori L.). The productivity and profitability in
sericulture solely depends on the quality and yield of mulberry leaves in rearing of
silkworms. Different algorithms like Neighborhood joining, UPGMA (Unweighted Pair
Group Method with Arithmetic Mean) and Maximum Likelihood were considered to
prepare the phylogenetic tree. The Maximum composite model outperforms highest
accuracy whereas NJ with Jukes-Cantor model gives the least. Computational biology of
statistical results justifiable were compare the functional relationship between different
models in which error percentage been reduced. The same algorithms carried out for the
individual species under different models, Neighborhood joining algorithm with Tajima-
Nei model gives the adverse classification among all other models, in this model Morus.
indica gives the high F- measure value followed by Morus. australis. All other models
Morus. rubra gives the best value followed by Morus. celtidifolia.
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