16May 2018

GENETIC ANALYSIS OF P53 GENE USING UNWEIGHTED PAIR GROUP METHOD WITH ARITHMETIC MEAN AND NEIGHBOR JOINING METHODS.

  • Department of Biotechnology & Microbiology, School of Sciences, Noida International University-NIU, Gautam Budh Nagar 201308, Uttar Pradesh, India.
  • Centre for Liver Research and Diagnostics, Deccan College of Medical Sciences, Kanchanbagh, Hyderabad 500058, Telangana, India.
  • Department of Zoology, The Adoni Arts and Science College, Adoni, Kurnool 518302, Andhra Pradesh, India.
  • NIU Research and Incubation Centre (NRIC), Noida International University-NIU, Gautam Budh Nagar 201308, Uttar Pradesh, India.
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The p53 molecular network is a master regulator of cellular process and control various signaling pathway, including cell apoptosis, senescence, cellular growth and DNA repair mechanism. Many species have evolved with unique environmental and genetic responses, we tested the related hypothesis that the evolutionary dynamics of, and mode of selection on, genes within the p53 network differs between human and other species, and that these differences may underlie the evolution of p53 in different species. The sequence of human tumor protein p53 (TP53), mRNA, complete cds sequence was retrieved from the NCBI in FASTA format and was studied for its relationship and percent similarity within human and others species. Variation in p53 gene in human and comparative analysis were studied in detail. The phylogenetic analysis was performed using unweighted pair group method with arithmetic mean (UPGMA) and neighbor joining (NJ) methods and revealed the relationships and percent similarity of Homo sapiens TP53, mRNA, complete cds among different organisms especially with monkey, guinea pig, golden hamster, tupaia, whale, rabbit, pig, cat, sheep and cattle. We observed that positive selection of TP53 gene during the divergence of different species during evolution.


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[Auwalu Aliyu, Arindam Bhattacharjee, Bahman Khalid, Rashmi Pandey, Nayeem Qayoom, Saba, Mohit Kumar, Shobha Mehra, Santosh K. Tiwari, A. Geetha Bhavani, Yugandhar P. Reddy, Varun Kumar Sharma. (2018); GENETIC ANALYSIS OF P53 GENE USING UNWEIGHTED PAIR GROUP METHOD WITH ARITHMETIC MEAN AND NEIGHBOR JOINING METHODS. Int. J. of Adv. Res. 6 (5). 558-568] (ISSN 2320-5407). www.journalijar.com


Dr. Varun Kumar Sharma
Department of Biotechnology and Microbiology, School of Sciences, Noida International University-NIU, Sector-17 A, Yamuna Expressway Gautam Budh Nagar -201308, Uttar Pradesh, India.

DOI:


Article DOI: 10.21474/IJAR01/7066       DOI URL: http://dx.doi.org/10.21474/IJAR01/7066


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