Phylogenetic Correlation Among Carpfishes and Catfishes Using a Nuclear Protein Coding Genetic Data (Gh) Retrieved from Genbank Using a Freeware Computational Evolutionary Biology Package MEGA, 4

Abstract

Computational Evolutionary Biology tools can be effectively utilized to study the relatedness of genetic data from different sources. The present investigation is aimed to study the variability and relatedness among a Nuclear Protein coding Gene among candidates of two different fish groups, the Carpfishes and the Catfishes by the Phylogenetic tree topologies resulting from four different computational models as Maximum parsimony (MP), Unweighted pair group method with arithmetic mean (UPGMA), Minimum evolution and Neighbor Joining Method. The respective nucleotide sequences were retrieved from the GENBANK database, aligned by Clustal W algorithm and subjected to computational models for constructing phylogenetic trees. Tests of Neutrality for the observations are also reported. The study was conducted by a freeware Computational Evolutionary Biology package MEGA, 4.

Keywords: nuclear protein coding gene, carpfishes, catfishes, computational evolutionary biology

JEL Classification: C63, C88, Q22, C11