Cargando…
Conserved amino acid markers from past influenza pandemic strains
BACKGROUND: Finding the amino acid mutations that affect the severity of influenza infections remains an open and challenging problem. Of special interest is better understanding how current circulating influenza strains could evolve into a new pandemic strain. Influenza proteomes from distinct vira...
Autores principales: | , , , |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2009
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2685398/ https://www.ncbi.nlm.nih.gov/pubmed/19386124 http://dx.doi.org/10.1186/1471-2180-9-77 |
_version_ | 1782167321239879680 |
---|---|
author | Allen, Jonathan E Gardner, Shea N Vitalis, Elizabeth A Slezak, Tom R |
author_facet | Allen, Jonathan E Gardner, Shea N Vitalis, Elizabeth A Slezak, Tom R |
author_sort | Allen, Jonathan E |
collection | PubMed |
description | BACKGROUND: Finding the amino acid mutations that affect the severity of influenza infections remains an open and challenging problem. Of special interest is better understanding how current circulating influenza strains could evolve into a new pandemic strain. Influenza proteomes from distinct viral phenotype classes were searched for class specific amino acid mutations conserved in past pandemics, using reverse engineered linear classifiers. RESULTS: Thirty-four amino acid markers associated with host specificity and high mortality rate were found. Some markers had little impact on distinguishing the functional classes by themselves, however in combination with other mutations they improved class prediction. Pairwise combinations of influenza genomes were checked for reassortment and mutation events needed to acquire the pandemic conserved markers. Evolutionary pathways involving H1N1 human and swine strains mixed with avian strains show the potential to acquire the pandemic markers with a double reassortment and one or two amino acid mutations. CONCLUSION: The small mutation combinations found at multiple protein positions associated with viral phenotype indicate that surveillance tools could monitor genetic variation beyond single point mutations to track influenza strains. Finding that certain strain combinations have the potential to acquire pandemic conserved markers through a limited number of reassortment and mutation events illustrates the potential for reassortment and mutation events to lead to new circulating influenza strains. |
format | Text |
id | pubmed-2685398 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2009 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-26853982009-05-22 Conserved amino acid markers from past influenza pandemic strains Allen, Jonathan E Gardner, Shea N Vitalis, Elizabeth A Slezak, Tom R BMC Microbiol Research article BACKGROUND: Finding the amino acid mutations that affect the severity of influenza infections remains an open and challenging problem. Of special interest is better understanding how current circulating influenza strains could evolve into a new pandemic strain. Influenza proteomes from distinct viral phenotype classes were searched for class specific amino acid mutations conserved in past pandemics, using reverse engineered linear classifiers. RESULTS: Thirty-four amino acid markers associated with host specificity and high mortality rate were found. Some markers had little impact on distinguishing the functional classes by themselves, however in combination with other mutations they improved class prediction. Pairwise combinations of influenza genomes were checked for reassortment and mutation events needed to acquire the pandemic conserved markers. Evolutionary pathways involving H1N1 human and swine strains mixed with avian strains show the potential to acquire the pandemic markers with a double reassortment and one or two amino acid mutations. CONCLUSION: The small mutation combinations found at multiple protein positions associated with viral phenotype indicate that surveillance tools could monitor genetic variation beyond single point mutations to track influenza strains. Finding that certain strain combinations have the potential to acquire pandemic conserved markers through a limited number of reassortment and mutation events illustrates the potential for reassortment and mutation events to lead to new circulating influenza strains. BioMed Central 2009-04-22 /pmc/articles/PMC2685398/ /pubmed/19386124 http://dx.doi.org/10.1186/1471-2180-9-77 Text en Copyright ©2009 Allen et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research article Allen, Jonathan E Gardner, Shea N Vitalis, Elizabeth A Slezak, Tom R Conserved amino acid markers from past influenza pandemic strains |
title | Conserved amino acid markers from past influenza pandemic strains |
title_full | Conserved amino acid markers from past influenza pandemic strains |
title_fullStr | Conserved amino acid markers from past influenza pandemic strains |
title_full_unstemmed | Conserved amino acid markers from past influenza pandemic strains |
title_short | Conserved amino acid markers from past influenza pandemic strains |
title_sort | conserved amino acid markers from past influenza pandemic strains |
topic | Research article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2685398/ https://www.ncbi.nlm.nih.gov/pubmed/19386124 http://dx.doi.org/10.1186/1471-2180-9-77 |
work_keys_str_mv | AT allenjonathane conservedaminoacidmarkersfrompastinfluenzapandemicstrains AT gardnershean conservedaminoacidmarkersfrompastinfluenzapandemicstrains AT vitaliselizabetha conservedaminoacidmarkersfrompastinfluenzapandemicstrains AT slezaktomr conservedaminoacidmarkersfrompastinfluenzapandemicstrains |