Phylogeny in Few Species of Leguminosae Family Based on matK Sequence  

Sagar Patel , Dipti B. Shah
G. H. Patel Post Graduate Department of Computer Science and Technology, Sardar Patel University, Vallabh Vidyanagar, Gujarat-388120, India
Author    Correspondence author
Computational Molecular Biology, 2014, Vol. 4, No. 6   doi: 10.5376/cmb.2014.04.0006
Received: 21 Feb., 2014    Accepted: 30 Jun., 2014    Published: 17 Jul., 2014
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This is an open access article published under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Preferred citation for this article:

Patel and Shah, 2014, Phylogeny in Few Species of Leguminosae Family Based on matK Sequence, Computational Molecular Biology, Vol.4, No.6 1-5 (doi: 10.5376/cmb.2014.04.0006)

Abstract

In this paper, few species of Leguminosae family considered for phylogenetically analyses which are found in Gujarat state in India and matK gene sequence data from NCBI database are considered for evolutionary analysis. The sequence data of the matK gene are more accurate than rbcL sequence data in the reconstruction of phylogenies throughout the seed plants. Leguminosae family is one of the largest families that contain thousands of species of Plants, Herbs, Shrubs and Trees worldwide. This study shows that species of Leguminosae family which is further classified into Fabaceae (Papilionaceae), Mimosaceae and Caesalpiniaceae; based on morphological characters has different members and the based on the DNA and protein matK sequence data analysis, few species are not related with each other as per morphological classification. We conclude that few species are related with each other as per botanical or morphological classification of Leguminosae family but evolutionary results shows that based on DNA and protein matK sequence data some species are not related with morphological or taxonomical classification.

Keywords
Leguminosae family; Bioinformatics; NCBI; matK
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