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      Genetic diversity and host adaptation of avian H5N1 influenza viruses during human infection

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          ABSTRACT

          The continuing pandemic threat posed by avian influenza A/H5N1 viruses calls for improved insights into their evolution during human infection. We performed whole genome deep sequencing of respiratory specimens from 44 H5N1-infected individuals from Indonesia and found substantial within-host viral diversity. At nearly 30% of genome positions multiple amino acids were observed within or across samples, including positions implicated in aerosol transmission between ferrets. Amino acid variants detected our cohort were often found more frequently in available H5N1 sequences of human than avian isolates. We additionally identified previously unreported amino acid variants and multiple variants that increased in proportion over time in available sequential samples. Given the importance of the polymerase complex for host adaptation, we tested 121 amino acid variants found in the PB2, PB1 and PA subunits for their effects on polymerase activity in human cells. We identified multiple single amino acid variants in all three polymerase subunits that substantially increase polymerase activity including some with effects comparable to that of the widely recognized adaption and virulence marker PB2-E627 K. These results indicate highly dynamic evolutionary processes during human H5N1 virus infection and the potential existence of previously undocumented adaptive pathways.

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          Most cited references23

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          Molecular basis for high virulence of Hong Kong H5N1 influenza A viruses.

          M Hatta (2001)
          In 1997, an H5N1 influenza A virus was transmitted from birds to humans in Hong Kong, killing 6 of the 18 people infected. When mice were infected with the human isolates, two virulence groups became apparent. Using reverse genetics, we showed that a mutation at position 627 in the PB2 protein influenced the outcome of infection in mice. Moreover, high cleavability of the hemagglutinin glycoprotein was an essential requirement for lethal infection.
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            A single amino acid in the PB2 gene of influenza A virus is a determinant of host range.

            The single gene reassortant virus that derives its PB2 gene from the avian influenza A/Mallard/NY/78 virus and remaining genes from the human influenza A/Los Angeles/2/87 virus exhibits a host range restriction (hr) phenotype characterized by efficient replication in avian tissue and failure to produce plaques in mammalian Madin-Darby canine kidney cells. The hr phenotype is associated with restriction of viral replication in the respiratory tract of squirrel monkeys and humans. To identify the genetic basis of the hr phenotype, we isolated four phenotypic hr mutant viruses that acquired the ability to replicate efficiently in mammalian tissue. Segregational analysis indicated that the loss of the hr phenotype was due to a mutation in the PB2 gene itself. The nucleotide sequences of the PB2 gene of each of the four hr mutants revealed that a single amino acid substitution at position 627 (Glu-->Lys) was responsible for the restoration of the ability of the PB2 single gene reassortant to replicate in Madin-Darby canine kidney cells. Interestingly, the amino acid at position 627 in every avian influenza A virus PB2 protein analyzed to date is glutamic acid, and in every human influenza A virus PB2 protein, it is lysine. Thus, the amino acid at residue 627 of PB2 is an important determinant of host range of influenza A viruses.
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              Complexities of Viral Mutation Rates

              Many viruses evolve rapidly. This is due, in part, to their high mutation rates. Mutation rate estimates for over 25 viruses are currently available. Here, we review the population genetics of virus mutation rates. We specifically cover the topics of mutation rate estimation, the forces that drive the evolution of mutation rates, and how the optimal mutation rate can be context-dependent.
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                Author and article information

                Journal
                Emerg Microbes Infect
                Emerg Microbes Infect
                TEMI
                temi20
                Emerging Microbes & Infections
                Taylor & Francis
                2222-1751
                2019
                17 February 2019
                : 8
                : 1
                : 262-271
                Affiliations
                [a ]Department of Medical Microbiology, Academic Medical Center , Amsterdam, Netherlands
                [b ]National Institute of Health Research and Development, Ministry of Health , Jakarta, Indonesia
                [c ]Department of Zoology, University of Cambridge , Cambridge, UK
                [d ]Bioinformatics Institute, A*STAR , Singapore, Singapore
                [e ]Department of Medical Microbiology, PAMM , Veldhoven, Netherlands
                Author notes
                [CONTACT ] Menno D. de Jong m.d.dejong@ 123456amc.nl
                [*]

                These authors contributed equally.

                Supplemental data for this article can be accessed at https://doi.org/10.1080/22221751.2019.1575700

                Author information
                http://orcid.org/0000-0002-2982-0278
                http://orcid.org/0000-0001-6281-8498
                http://orcid.org/0000-0002-2113-162X
                http://orcid.org/0000-0002-1196-7909
                http://orcid.org/0000-0002-8380-4738
                http://orcid.org/0000-0002-4248-6008
                Article
                1575700
                10.1080/22221751.2019.1575700
                6455201
                30866780
                35871f67-7bae-498c-a5ce-6b36b0a99c62
                © 2019 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 07 November 2018
                : 30 January 2019
                : 01 February 2019
                Page count
                Figures: 6, Tables: 1, Equations: 0, References: 37, Pages: 10
                Funding
                Funded by: European Union FP7 program
                Award ID: SPIN Challenges Exploration Grant
                Award ID: Ph.D. scholarship
                Funded by: AMC Graduate School
                Funded by: NUFFIC 10.13039/501100001718
                Funded by: Medical Research Council of the United Kingdom
                Award ID: (MR/K021885/1)
                Award ID: Junior Research Fellowship
                Funded by: European Union H2020
                Award ID: Marie Curie International Incoming Fellowship
                Funded by: Homerton College Cambridge
                This work was supported by the European Union FP7 programs EMPERIE (223498) (MDJ) and ANTIGONE (278976) (MDJ, DE), a SPIN Challenges Exploration Grant from the Royal Netherlands Academy of Arts and Sciences (KNAW) (KNAW) (MDJ), Ph.D. scholarship from the AMC Graduate School (MRAW) and NUFFIC (HP), a fellowship in Biomedical Informatics from the Medical Research Council of the United Kingdom (MR/K021885/1) (JMF), a Junior Research Fellowship from Homerton College Cambridge (JMF) and an European Union H2020 Marie Curie International Incoming Fellowship (DE).
                Categories
                Article

                influenza,h5n1,human adaptation,polymerase complex
                influenza, h5n1, human adaptation, polymerase complex

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