Genotypic distribution of human papillomavirus and phylogenetic analysis of E6 and E7 gene of HR-HPV variants isolated from Pakistani population

Author:

Ahmed Sameen1,Vajeeha Ayesha1,Idrees Muhammad2,Hussain Abrar3,Munir Rakhtasha1,Zaidi Gulshan1,Zahid Khadija4,Ahmed Rizwan5,Fatima Zareen4,Rafique Shazia4,Achakzai Niaz M.6ORCID

Affiliation:

1. Centre of Applied Molecular Biology (CAMB), University of the Punjab, Lahore, Pakistan

2. University of Peshawar, Peshawar, Pakistan

3. Department of Biotechnology, BUITEMS, Quetta, Pakistan

4. Centre of Excellence in Molecular Biology (CEMB), University of the Punjab, Lahore, Pakistan

5. Government College University Faisalabad (GCUF), Faisalabad, Pakistan

6. Department of Molecular Biology, DNA Section, Legal Medicine Directorate, Ministry of Public Health, Kabul, Afghanistan.

Abstract

High-risk-human papillomavirus (HR-HPV)-induced cervical cancer is the second most common cause of death among females worldwide. HPV16 is the most prevalent HR-HPV infection worldwide. This study found the genotypic distribution of HR-HPV in the local population and investigated the sequence variations among the E6 and E7 oncogenes of the local HPV16 genotype to the E6 and E7 oncogenes of the foreign HPV16 genotypes and constructed a phylogenetic relationship based on nucleotide sequence comparison among the variants identified in our study along with previously reported isolates that were obtained from different regions of the world. The samples were collected from patients with cervical cancer. Genomic DNA was extracted, and HR-HPV genotypes were determined using real-time PCR. The HPV16 E6 and E7 genes were amplified and sequenced. A HPV16 phylogenetic tree was constructed using the maximum likelihood method with MEGA 7. HPV16 was the most prevalent human papillomavirus (HPV) type identified in the present study. HPV16 isolates belonged to the A1 sublineage of the European branch. Twenty-one nucleotide sequences were included in this analysis. The first, second, and third codon positions are also included. The final dataset included 776 positions.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

General Medicine

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