Cargando…
Computational Analysis and Mapping of Novel Open Reading Frames in Influenza A Viruses
The influenza A virus contains 8 segmented genomic RNAs and was considered to encode 10 viral proteins until investigators identified the 11(th) viral protein, PB1-F2, which uses an alternative reading frame of the PB1 gene. The recently identified PB1-N40, PA-N155 and PA-N182 influenza A proteins h...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2014
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4266615/ https://www.ncbi.nlm.nih.gov/pubmed/25506939 http://dx.doi.org/10.1371/journal.pone.0115016 |
_version_ | 1782349034362503168 |
---|---|
author | Gong, Yu-Nong Chen, Guang-Wu Chen, Chi-Jene Kuo, Rei-Lin Shih, Shin-Ru |
author_facet | Gong, Yu-Nong Chen, Guang-Wu Chen, Chi-Jene Kuo, Rei-Lin Shih, Shin-Ru |
author_sort | Gong, Yu-Nong |
collection | PubMed |
description | The influenza A virus contains 8 segmented genomic RNAs and was considered to encode 10 viral proteins until investigators identified the 11(th) viral protein, PB1-F2, which uses an alternative reading frame of the PB1 gene. The recently identified PB1-N40, PA-N155 and PA-N182 influenza A proteins have shown the potential for using a leaking ribosomal scanning mechanism to generate novel open reading frames (ORFs). These novel ORFs provide examples of the manner in which the influenza A virus expands its coding capacity by using overlapping reading frames. In this study, we performed a computational search, based on a ribosome scanning mechanism, on all influenza A coding sequences to identify possible forward-reading ORFs that could be translated into novel viral proteins. We specified that the translated products had a prevalence ≥5% to eliminate sporadic ORFs. A total of 1,982 ORFs were thus identified and presented in terms of their locations, lengths and Kozak sequence strengths. We further provided an abridged list of ORFs by requiring every candidate an upstream start codon (within the upstream third of the primary transcript), a strong Kozak consensus sequence and high prevalence (≥95% and ≥50% for in-frame and alternative-frame ORFs, respectively). The PB1-F2, PB1-N40, PA-N155 and PA-N182 proteins all fulfilled our filtering criteria. Subject to these three stringent settings, we additionally named 16 novel ORFs for all influenza A genomes except for HA and NA, for which 43 HA and 11 NA ORFs from their respective subtypes were also recognized. |
format | Online Article Text |
id | pubmed-4266615 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-42666152014-12-26 Computational Analysis and Mapping of Novel Open Reading Frames in Influenza A Viruses Gong, Yu-Nong Chen, Guang-Wu Chen, Chi-Jene Kuo, Rei-Lin Shih, Shin-Ru PLoS One Research Article The influenza A virus contains 8 segmented genomic RNAs and was considered to encode 10 viral proteins until investigators identified the 11(th) viral protein, PB1-F2, which uses an alternative reading frame of the PB1 gene. The recently identified PB1-N40, PA-N155 and PA-N182 influenza A proteins have shown the potential for using a leaking ribosomal scanning mechanism to generate novel open reading frames (ORFs). These novel ORFs provide examples of the manner in which the influenza A virus expands its coding capacity by using overlapping reading frames. In this study, we performed a computational search, based on a ribosome scanning mechanism, on all influenza A coding sequences to identify possible forward-reading ORFs that could be translated into novel viral proteins. We specified that the translated products had a prevalence ≥5% to eliminate sporadic ORFs. A total of 1,982 ORFs were thus identified and presented in terms of their locations, lengths and Kozak sequence strengths. We further provided an abridged list of ORFs by requiring every candidate an upstream start codon (within the upstream third of the primary transcript), a strong Kozak consensus sequence and high prevalence (≥95% and ≥50% for in-frame and alternative-frame ORFs, respectively). The PB1-F2, PB1-N40, PA-N155 and PA-N182 proteins all fulfilled our filtering criteria. Subject to these three stringent settings, we additionally named 16 novel ORFs for all influenza A genomes except for HA and NA, for which 43 HA and 11 NA ORFs from their respective subtypes were also recognized. Public Library of Science 2014-12-15 /pmc/articles/PMC4266615/ /pubmed/25506939 http://dx.doi.org/10.1371/journal.pone.0115016 Text en © 2014 Gong et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Gong, Yu-Nong Chen, Guang-Wu Chen, Chi-Jene Kuo, Rei-Lin Shih, Shin-Ru Computational Analysis and Mapping of Novel Open Reading Frames in Influenza A Viruses |
title | Computational Analysis and Mapping of Novel Open Reading Frames in Influenza A Viruses |
title_full | Computational Analysis and Mapping of Novel Open Reading Frames in Influenza A Viruses |
title_fullStr | Computational Analysis and Mapping of Novel Open Reading Frames in Influenza A Viruses |
title_full_unstemmed | Computational Analysis and Mapping of Novel Open Reading Frames in Influenza A Viruses |
title_short | Computational Analysis and Mapping of Novel Open Reading Frames in Influenza A Viruses |
title_sort | computational analysis and mapping of novel open reading frames in influenza a viruses |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4266615/ https://www.ncbi.nlm.nih.gov/pubmed/25506939 http://dx.doi.org/10.1371/journal.pone.0115016 |
work_keys_str_mv | AT gongyunong computationalanalysisandmappingofnovelopenreadingframesininfluenzaaviruses AT chenguangwu computationalanalysisandmappingofnovelopenreadingframesininfluenzaaviruses AT chenchijene computationalanalysisandmappingofnovelopenreadingframesininfluenzaaviruses AT kuoreilin computationalanalysisandmappingofnovelopenreadingframesininfluenzaaviruses AT shihshinru computationalanalysisandmappingofnovelopenreadingframesininfluenzaaviruses |