Computational Analysis of Evolutionary Relationship of a Family of Cold Shock Proteins in Ten Mammalian Species

Okon, E. A. and Ikpeme, E. V. and Udensi, O. U. and Ekerette, E. E. and Etta, H. E. and Willie, E. P. and Ozoje, M. (2019) Computational Analysis of Evolutionary Relationship of a Family of Cold Shock Proteins in Ten Mammalian Species. In: Advances and Trends in Biotechnology and Genetics Vol. 2. B P International, pp. 137-148. ISBN 978-93-89246-93-3

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Abstract

Aims: This study was carried out to evaluate the evolutionary relationship of a family of cold shock
proteins (CSP) in ten mammalian species using bioinformatics tools and softwares such as Genbank,
FASTA, BLAST and MEGA 5.
Sample: Twenty protein sequences of both RBM3 and CIRP proteins of some selected mammalian
species were downloaded from NCBI database.
Study Design: Computational analysis to evaluate the evolutionary relationship of the CSP was
carried out by estimating the phylogenic relationship of CSP in the different mammalian species
studied.
Place and Duration of Study: This study was carried out at the Department of Genetics and
Biotechnology, Calabar.
Methodology: The molecular evolution and genetic analysis, version 5 (MEGA 5) software was used
to determine the evolutionary relationship of both CIRP and RBM3 in the ten mammalian species
studied by constructing phylogenic tree using the amino acid sequences of protein retrieved from
NCBI.
Results: The highest identity (100%) was observed between Ovis aries and Bos Taurus; Rattus
norvegicus and Mus-musculus while the least percentage identity was observed between Pan
troglodytes and Bos taurus (84%). The phylogenic relationship using UPGMA based on Jones-Taylor-
Thornton (JTT) matrix model revealed high relationship.
Conclusion: It was observed that evolutionary relationship of CIRP and RBM3 revealed high
relatedness among the mammalian species studied.

Item Type: Book Section
Subjects: Universal Eprints > Biological Science
Depositing User: Managing Editor
Date Deposited: 16 Nov 2023 07:44
Last Modified: 16 Nov 2023 07:44
URI: http://journal.article2publish.com/id/eprint/3208

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