Genome wide association study and phylogenetic analysis of novel SARS-COV-2 virus among different countries

Syed Umair Ahmad, Muhammad Shehzad Khan, Zainab Jan, Nayab Khan, Asif Ali, Naumana Rehman, Mohsina Haq, Umama Khan, Zohaib Bashir*, Muhammad Tayyab, Ihteshamul Haq*, Shumaila Bakht, Fazli Zahir

*Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

Abstract

Corona Virus (COVID-19) outbreak has threatened the world, since it has become pandemic and spread all over the world. The causative agent SARS-COV2 has proved lethal caused serious public health concern worldwide. Our aims were to describe the SARS-COV-2 genetic connections and check for recombination of all genome. The recombination was investigated by RDP5 and conflicting phylogenetic clustering in individual genomic fragments was established by phylogenetic study by maximum likelihood and Bayesian methods. Our analysis suggests that the available sequences from currently genomes of various strain were retrieved from different countries including Japan, French Republic, Spain, Peru, China, Vietnam, Taiwan, Brazil, U.S.A., South Korea, Sweden, Australia, Nepal, India, Iran, and Italy. The phylogeny of SARS-COV-2 observed the largest number of genome is Vietnam 29891-bp, while France is the smallest member identified with 29679-bp. Using Recombination Detection program5 (RDP5) the china strains was taken as parental strain but there were no recombination in the all strains. In our study we identified the mutation in Pakistani strains in high conserved region of Corona nucleoca super family domain at the nucleotide position (394: C replace with T, Position: 858: C replace with T and Position: 997 G replace A).
Original languageEnglish
Pages (from-to)1305-1313
JournalPakistan Journal of Pharmaceutical Sciences
Volume34
Issue number4
DOIs
Publication statusPublished - Jul 2021

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Research Keywords

  • Multiple sequence alignment
  • Phylogeny
  • Recombination
  • SARS-COV-2
  • Strains

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