tetano
Editor, Senior Moderator
J Med Virol
. 2022 Aug 24.
doi: 10.1002/jmv.28090. Online ahead of print.
Reconstruction of molecular evolution of human influenza A H1N1/2009 virus in Iran and neighboring countries
Nima Ghalekhani[SUP] 1 2 [/SUP], Saied Bokaie[SUP] 1 [/SUP], Sana Eybpoosh[SUP] 3 [/SUP], Hesameddin Akbarein[SUP] 1 [/SUP], Hamid Sharifi[SUP] 2 [/SUP]
Affiliations
Abstract
Background: In this study, the time and path of transmission of H1N1 serotype influenza A viruses in Iran and neighboring countries have been investigated by using Bayesian phylogeography analysis on the sequences extracted from the gene bank.
Methods: We obtained all hemagglutinin (HA) and neuraminidase (NA) nucleotide sequences of influenza H1N1 available up to December 25, 2020, from Iran and its neighboring countries (i.e., Pakistan, Afghanistan, Turkmenistan, Armenia, Azerbaijan, Turkey, and Iraq). We also performed a Bayesian Markov chain Monte Carlo method to infer the evolutionary dynamic and the most recent common ancestor for the HA and NA sequences.
Results: Based on the extracted sequences, the age of emergence of H1N1 influenza virus serotype was older in Iran compared to neighboring countries, and with some degree of uncertainty, it seems Tehran had a key role and epicenter of transmission to other cities within Iran. The mean time of the most recent common ancestor of H1N1 viruses was 1989 (95% HPD: 1980-1994) for HA and NA as well.
Conclusions: Along with ordinary measures like resource management, diagnostic approaches, and preparedness to fight against viruses that were in place, continuous monitoring, and screening of H1N1 serotype influenza virus in the country, especially by implementation of feasible, effective, and innovative measures at border line should be initiated and identified gaps and shortage that should be a priority for virus control. It is also important for countries to have a regional monitoring program in addition to internal monitoring programs, as well as to start a virus molecular care program. This article is protected by copyright. All rights reserved.
Keywords: Bayesian phylogeographic; H1N1; Influenza virus; Iran.
. 2022 Aug 24.
doi: 10.1002/jmv.28090. Online ahead of print.
Reconstruction of molecular evolution of human influenza A H1N1/2009 virus in Iran and neighboring countries
Nima Ghalekhani[SUP] 1 2 [/SUP], Saied Bokaie[SUP] 1 [/SUP], Sana Eybpoosh[SUP] 3 [/SUP], Hesameddin Akbarein[SUP] 1 [/SUP], Hamid Sharifi[SUP] 2 [/SUP]
Affiliations
- PMID: 36000444
- DOI: 10.1002/jmv.28090
Abstract
Background: In this study, the time and path of transmission of H1N1 serotype influenza A viruses in Iran and neighboring countries have been investigated by using Bayesian phylogeography analysis on the sequences extracted from the gene bank.
Methods: We obtained all hemagglutinin (HA) and neuraminidase (NA) nucleotide sequences of influenza H1N1 available up to December 25, 2020, from Iran and its neighboring countries (i.e., Pakistan, Afghanistan, Turkmenistan, Armenia, Azerbaijan, Turkey, and Iraq). We also performed a Bayesian Markov chain Monte Carlo method to infer the evolutionary dynamic and the most recent common ancestor for the HA and NA sequences.
Results: Based on the extracted sequences, the age of emergence of H1N1 influenza virus serotype was older in Iran compared to neighboring countries, and with some degree of uncertainty, it seems Tehran had a key role and epicenter of transmission to other cities within Iran. The mean time of the most recent common ancestor of H1N1 viruses was 1989 (95% HPD: 1980-1994) for HA and NA as well.
Conclusions: Along with ordinary measures like resource management, diagnostic approaches, and preparedness to fight against viruses that were in place, continuous monitoring, and screening of H1N1 serotype influenza virus in the country, especially by implementation of feasible, effective, and innovative measures at border line should be initiated and identified gaps and shortage that should be a priority for virus control. It is also important for countries to have a regional monitoring program in addition to internal monitoring programs, as well as to start a virus molecular care program. This article is protected by copyright. All rights reserved.
Keywords: Bayesian phylogeographic; H1N1; Influenza virus; Iran.