Literature DB >> 16537638

Comparison of the mutation rates of human influenza A and B viruses.

Eri Nobusawa1, Katsuhiko Sato.   

Abstract

Human influenza A viruses evolve more rapidly than influenza B viruses. To clarify the cause of this difference, we have evaluated the mutation rate of the nonstructural gene as revealed by the genetic diversity observed during the growth of individual plaques in MDCK cells. Six plaques were studied, representing two strains each of type A and B viruses. A total of 813,663 nucleotides were sequenced, giving rates of 2.0 x 10(-6) and 0.6 x 10(-6) mutations per site per infectious cycle, which, when extended to 1 year, agree well with the published annual evolutionary rates.

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Year:  2006        PMID： 16537638      PMCID： PMC1440390          DOI： 10.1128/JVI.80.7.3675-3678.2006

Source DB:  PubMed          Journal:  J Virol        ISSN： 0022-538X            Impact factor:   5.103


  24 in total

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Review 4.  Direct sequencing of polymerase chain reaction-amplified DNA.

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Journal:  Anal Biochem       Date:  1994-01       Impact factor: 3.365

5.  Change in receptor-binding specificity of recent human influenza A viruses (H3N2): a single amino acid change in hemagglutinin altered its recognition of sialyloligosaccharides.

Authors:  E Nobusawa; H Ishihara; T Morishita; K Sato; K Nakajima
Journal:  Virology       Date:  2000-12-20       Impact factor: 3.616

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Journal:  J Virol       Date:  1992-04       Impact factor: 5.103

8.  Independence of evolutionary and mutational rates after transmission of avian influenza viruses to swine.

Authors:  J Stech; X Xiong; C Scholtissek; R G Webster
Journal:  J Virol       Date:  1999-03       Impact factor: 5.103

9.  Phylogenetic relationship of the nonstructural (NS) genes of influenza A viruses.

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Journal:  Virology       Date:  1991-08       Impact factor: 3.616

10.  THE GROWTH OF BACTERIOPHAGE.

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Journal:  J Gen Physiol       Date:  1939-01-20       Impact factor: 4.086
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  117 in total

Review 1.  Viral mutation rates.

Authors:  Rafael Sanjuán; Miguel R Nebot; Nicola Chirico; Louis M Mansky; Robert Belshaw
Journal:  J Virol       Date:  2010-07-21       Impact factor: 5.103

2.  A two-tiered model for simulating the ecological and evolutionary dynamics of rapidly evolving viruses, with an application to influenza.

Authors:  Katia Koelle; Priya Khatri; Meredith Kamradt; Thomas B Kepler
Journal:  J R Soc Interface       Date:  2010-03-24       Impact factor: 4.118

3.  The effects of a deleterious mutation load on patterns of influenza A/H3N2's antigenic evolution in humans.

Authors:  Katia Koelle; David A Rasmussen
Journal:  Elife       Date:  2015-09-15       Impact factor: 8.140

Review 4.  Neuraminidase inhibitors for influenza B virus infection: efficacy and resistance.

Authors:  Andrew J Burnham; Tatiana Baranovich; Elena A Govorkova
Journal:  Antiviral Res       Date:  2013-09-04       Impact factor: 5.970

5.  Quantitative modeling of virus evolutionary dynamics and adaptation in serial passages using empirically inferred fitness landscapes.

Authors:  Hyung Jun Woo; Jaques Reifman
Journal:  J Virol       Date:  2013-11-06       Impact factor: 5.103

6.  Newly emerging mutations in the matrix genes of the human influenza A(H1N1)pdm09 and A(H3N2) viruses reduce the detection sensitivity of real-time reverse transcription-PCR.

Authors:  Ji-Rong Yang; Chuan-Yi Kuo; Hsiang-Yi Huang; Fu-Ting Wu; Yi-Lung Huang; Chieh-Yu Cheng; Yu-Ting Su; Feng-Yee Chang; Ho-Sheng Wu; Ming-Tsan Liu
Journal:  J Clin Microbiol       Date:  2013-10-23       Impact factor: 5.948

7.  Whole genome sequencing identifies influenza A H3N2 transmission and offers superior resolution to classical typing methods.

Authors:  Dominik M Meinel; Susanne Heinzinger; Ute Eberle; Nikolaus Ackermann; Katharina Schönberger; Andreas Sing
Journal:  Infection       Date:  2017-10-31       Impact factor: 3.553

Review 8.  The evolution of seasonal influenza viruses.

Authors:  Velislava N Petrova; Colin A Russell
Journal:  Nat Rev Microbiol       Date:  2017-10-30       Impact factor: 60.633

9.  Antiviral resistance and the control of pandemic influenza: the roles of stochasticity, evolution and model details.

Authors:  Andreas Handel; Ira M Longini; Rustom Antia
Journal:  J Theor Biol       Date:  2008-10-08       Impact factor: 2.691

Review 10.  Broadly neutralizing antibodies against influenza viruses.

Authors:  Nick S Laursen; Ian A Wilson
Journal:  Antiviral Res       Date:  2013-04-09       Impact factor: 5.970
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