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Deep mutational scanning of hemagglutinin helps predict evolutionary fates of human H3N2 influenza variants

Human influenza virus rapidly accumulates mutations in its major surface protein hemagglutinin (HA). The evolutionary success of influenza virus lineages depends on how these mutations affect HA’s functionality and antigenicity. Here we experimentally measure the effects on viral growth in cell cult...

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Autores principales: Lee, Juhye M., Huddleston, John, Doud, Michael B., Hooper, Kathryn A., Wu, Nicholas C., Bedford, Trevor, Bloom, Jesse D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: National Academy of Sciences 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6126756/
https://www.ncbi.nlm.nih.gov/pubmed/30104379
http://dx.doi.org/10.1073/pnas.1806133115
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author Lee, Juhye M.
Huddleston, John
Doud, Michael B.
Hooper, Kathryn A.
Wu, Nicholas C.
Bedford, Trevor
Bloom, Jesse D.
author_facet Lee, Juhye M.
Huddleston, John
Doud, Michael B.
Hooper, Kathryn A.
Wu, Nicholas C.
Bedford, Trevor
Bloom, Jesse D.
author_sort Lee, Juhye M.
collection PubMed
description Human influenza virus rapidly accumulates mutations in its major surface protein hemagglutinin (HA). The evolutionary success of influenza virus lineages depends on how these mutations affect HA’s functionality and antigenicity. Here we experimentally measure the effects on viral growth in cell culture of all single amino acid mutations to the HA from a recent human H3N2 influenza virus strain. We show that mutations that are measured to be more favorable for viral growth are enriched in evolutionarily successful H3N2 viral lineages relative to mutations that are measured to be less favorable for viral growth. Therefore, despite the well-known caveats about cell-culture measurements of viral fitness, such measurements can still be informative for understanding evolution in nature. We also compare our measurements for H3 HA to similar data previously generated for a distantly related H1 HA and find substantial differences in which amino acids are preferred at many sites. For instance, the H3 HA has less disparity in mutational tolerance between the head and stalk domains than the H1 HA. Overall, our work suggests that experimental measurements of mutational effects can be leveraged to help understand the evolutionary fates of viral lineages in nature—but only when the measurements are made on a viral strain similar to the ones being studied in nature.
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spelling pubmed-61267562018-09-07 Deep mutational scanning of hemagglutinin helps predict evolutionary fates of human H3N2 influenza variants Lee, Juhye M. Huddleston, John Doud, Michael B. Hooper, Kathryn A. Wu, Nicholas C. Bedford, Trevor Bloom, Jesse D. Proc Natl Acad Sci U S A PNAS Plus Human influenza virus rapidly accumulates mutations in its major surface protein hemagglutinin (HA). The evolutionary success of influenza virus lineages depends on how these mutations affect HA’s functionality and antigenicity. Here we experimentally measure the effects on viral growth in cell culture of all single amino acid mutations to the HA from a recent human H3N2 influenza virus strain. We show that mutations that are measured to be more favorable for viral growth are enriched in evolutionarily successful H3N2 viral lineages relative to mutations that are measured to be less favorable for viral growth. Therefore, despite the well-known caveats about cell-culture measurements of viral fitness, such measurements can still be informative for understanding evolution in nature. We also compare our measurements for H3 HA to similar data previously generated for a distantly related H1 HA and find substantial differences in which amino acids are preferred at many sites. For instance, the H3 HA has less disparity in mutational tolerance between the head and stalk domains than the H1 HA. Overall, our work suggests that experimental measurements of mutational effects can be leveraged to help understand the evolutionary fates of viral lineages in nature—but only when the measurements are made on a viral strain similar to the ones being studied in nature. National Academy of Sciences 2018-08-28 2018-08-13 /pmc/articles/PMC6126756/ /pubmed/30104379 http://dx.doi.org/10.1073/pnas.1806133115 Text en Copyright © 2018 the Author(s). Published by PNAS. https://creativecommons.org/licenses/by-nc-nd/4.0/ This open access article is distributed under Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND) (https://creativecommons.org/licenses/by-nc-nd/4.0/) .
spellingShingle PNAS Plus
Lee, Juhye M.
Huddleston, John
Doud, Michael B.
Hooper, Kathryn A.
Wu, Nicholas C.
Bedford, Trevor
Bloom, Jesse D.
Deep mutational scanning of hemagglutinin helps predict evolutionary fates of human H3N2 influenza variants
title Deep mutational scanning of hemagglutinin helps predict evolutionary fates of human H3N2 influenza variants
title_full Deep mutational scanning of hemagglutinin helps predict evolutionary fates of human H3N2 influenza variants
title_fullStr Deep mutational scanning of hemagglutinin helps predict evolutionary fates of human H3N2 influenza variants
title_full_unstemmed Deep mutational scanning of hemagglutinin helps predict evolutionary fates of human H3N2 influenza variants
title_short Deep mutational scanning of hemagglutinin helps predict evolutionary fates of human H3N2 influenza variants
title_sort deep mutational scanning of hemagglutinin helps predict evolutionary fates of human h3n2 influenza variants
topic PNAS Plus
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6126756/
https://www.ncbi.nlm.nih.gov/pubmed/30104379
http://dx.doi.org/10.1073/pnas.1806133115
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