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OJBTM
Online Journal of
Bioinformatics ©
Volume 12(2):230-242, 2011.
A least
squares method to determine reticulation in eight grass plastomes.
Rinku Mathur
and Neeru Adlakha
Department of Applied
Mathematics & Humanities, Sardar Vallabhbhai National Institute of Technology, Surat - 395
007, Gujarat, India.
ABSTRACT
Mathur R, Adlakha N., A least squares
method to determine reticulation in eight grass plastomes,
Onl J Bioinform., 12(2):230-242, 2011. A least squares method was used to
determine the evolutionary network amongst 8 grass plastomes. Results suggested the possibility of
reticulation events between Oryza and Triticum, non-sister species from different
subfamilies and between species belonging to the same subfamily of Bentgrass and Brachypodium.
These could be hybridized to obtain a new species that would be more tolerable
to extreme weather conditions to produce higher yields. Phylogenetic
networks are considered as the structures that are used to understand the
evolutionary pathways among the different organisms. Evolutionary relations are
due to the preservation of mutations in sequences, occurred due to the non-tree
like events like horizontal gene transfer, Homoplasy, sexual hybridization and
recombination, etc. The effective and efficient reconstruction of the networks
for these events is an challenging task in
computational biology. In this article, a new Fuzzy Weighted Least Squares
(FWLS) approach is employed to detect these events in commonly known species of
grasses. The results obtained by the proposed method predicts the possibility
of hybridization or recombination among the inter cluster species i.e., Oryza and Triticum and intra
cluster species i.e. Bentgrass and Brachypodium. Results also provide the optimized values
of 
in comparison to the
other available least squares method and thus error level is also minimized.
Keywords: Phylogenetic Networks, Fuzzy
Set, Fuzzy Weighted Least Squares Approach, Subfamilies, Grass Species,
Hybridization and Reticulation distance.