Cargando…
A Comprehensive Systems Biology Approach to Studying Zika Virus
Zika virus (ZIKV) is responsible for an ongoing and intensifying epidemic in the Western Hemisphere. We examined the complete predicted proteomes, glycomes, and selectomes of 33 ZIKV strains representing temporally diverse members of the African lineage, the Asian lineage, and the current outbreak i...
Autores principales: | , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5008700/ https://www.ncbi.nlm.nih.gov/pubmed/27584813 http://dx.doi.org/10.1371/journal.pone.0161355 |
_version_ | 1782451420828532736 |
---|---|
author | May, Meghan Relich, Ryan F. |
author_facet | May, Meghan Relich, Ryan F. |
author_sort | May, Meghan |
collection | PubMed |
description | Zika virus (ZIKV) is responsible for an ongoing and intensifying epidemic in the Western Hemisphere. We examined the complete predicted proteomes, glycomes, and selectomes of 33 ZIKV strains representing temporally diverse members of the African lineage, the Asian lineage, and the current outbreak in the Americas. Derivation of the complete selectome is an ‘omics’ approach to identify distinct evolutionary pressures acting on different features of an organism. Employment of the M8 model did not show evidence of global diversifying selection acting on the ZIKV polyprotein; however, a mixed effect model of evolution showed strong evidence (P<0.05) for episodic diversifying selection acting on specific sites. Single nucleotide polymorphisms (SNPs) were predictably frequent across strains relative to the derived consensus sequence. None of the 9 published detection procedures utilize targets that share 100% identity across the 33 strains examined, indicating that ZIKV escape from molecular detection is predictable. The predicted O-linked glycome showed marked diversity across strains; however, the N-linked glycome was highly stable. All Asian and American strains examined were predicted to include glycosylation of E protein ASN(154), a modification proposed to mediate neurotropism, whereas the modification was not predicted for African strains. SNP diversity, episodic diversifying selection, and differential glycosylation, particularly of ASN(154), may have major biological implications for ZIKV disease. Taken together, the systems biology perspective of ZIKV indicates: a.) The recently emergent Asian/American N-glycotype is mediating the new and emerging neuropathogenic potential of ZIKV; and b.) further divergence at specific sites is predictable as endemnicity is established in the Americas. |
format | Online Article Text |
id | pubmed-5008700 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-50087002016-09-27 A Comprehensive Systems Biology Approach to Studying Zika Virus May, Meghan Relich, Ryan F. PLoS One Research Article Zika virus (ZIKV) is responsible for an ongoing and intensifying epidemic in the Western Hemisphere. We examined the complete predicted proteomes, glycomes, and selectomes of 33 ZIKV strains representing temporally diverse members of the African lineage, the Asian lineage, and the current outbreak in the Americas. Derivation of the complete selectome is an ‘omics’ approach to identify distinct evolutionary pressures acting on different features of an organism. Employment of the M8 model did not show evidence of global diversifying selection acting on the ZIKV polyprotein; however, a mixed effect model of evolution showed strong evidence (P<0.05) for episodic diversifying selection acting on specific sites. Single nucleotide polymorphisms (SNPs) were predictably frequent across strains relative to the derived consensus sequence. None of the 9 published detection procedures utilize targets that share 100% identity across the 33 strains examined, indicating that ZIKV escape from molecular detection is predictable. The predicted O-linked glycome showed marked diversity across strains; however, the N-linked glycome was highly stable. All Asian and American strains examined were predicted to include glycosylation of E protein ASN(154), a modification proposed to mediate neurotropism, whereas the modification was not predicted for African strains. SNP diversity, episodic diversifying selection, and differential glycosylation, particularly of ASN(154), may have major biological implications for ZIKV disease. Taken together, the systems biology perspective of ZIKV indicates: a.) The recently emergent Asian/American N-glycotype is mediating the new and emerging neuropathogenic potential of ZIKV; and b.) further divergence at specific sites is predictable as endemnicity is established in the Americas. Public Library of Science 2016-09-01 /pmc/articles/PMC5008700/ /pubmed/27584813 http://dx.doi.org/10.1371/journal.pone.0161355 Text en © 2016 May, Relich http://creativecommons.org/licenses/by/4.0/ 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 author and source are credited. |
spellingShingle | Research Article May, Meghan Relich, Ryan F. A Comprehensive Systems Biology Approach to Studying Zika Virus |
title | A Comprehensive Systems Biology Approach to Studying Zika Virus |
title_full | A Comprehensive Systems Biology Approach to Studying Zika Virus |
title_fullStr | A Comprehensive Systems Biology Approach to Studying Zika Virus |
title_full_unstemmed | A Comprehensive Systems Biology Approach to Studying Zika Virus |
title_short | A Comprehensive Systems Biology Approach to Studying Zika Virus |
title_sort | comprehensive systems biology approach to studying zika virus |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5008700/ https://www.ncbi.nlm.nih.gov/pubmed/27584813 http://dx.doi.org/10.1371/journal.pone.0161355 |
work_keys_str_mv | AT maymeghan acomprehensivesystemsbiologyapproachtostudyingzikavirus AT relichryanf acomprehensivesystemsbiologyapproachtostudyingzikavirus AT maymeghan comprehensivesystemsbiologyapproachtostudyingzikavirus AT relichryanf comprehensivesystemsbiologyapproachtostudyingzikavirus |