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Phage Phenomics: Physiological Approaches to Characterize Novel Viral Proteins
Current investigations into phage-host interactions are dependent on extrapolating knowledge from (meta)genomes. Interestingly, 60 - 95% of all phage sequences share no homology to current annotated proteins. As a result, a large proportion of phage genes are annotated as hypothetical. This reality...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MyJove Corporation
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4544906/ https://www.ncbi.nlm.nih.gov/pubmed/26132888 http://dx.doi.org/10.3791/52854 |
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author | Sanchez, Savannah E. Cuevas, Daniel A. Rostron, Jason E. Liang, Tiffany Y. Pivaroff, Cullen G. Haynes, Matthew R. Nulton, Jim Felts, Ben Bailey, Barbara A. Salamon, Peter Edwards, Robert A. Burgin, Alex B. Segall, Anca M. Rohwer, Forest |
author_facet | Sanchez, Savannah E. Cuevas, Daniel A. Rostron, Jason E. Liang, Tiffany Y. Pivaroff, Cullen G. Haynes, Matthew R. Nulton, Jim Felts, Ben Bailey, Barbara A. Salamon, Peter Edwards, Robert A. Burgin, Alex B. Segall, Anca M. Rohwer, Forest |
author_sort | Sanchez, Savannah E. |
collection | PubMed |
description | Current investigations into phage-host interactions are dependent on extrapolating knowledge from (meta)genomes. Interestingly, 60 - 95% of all phage sequences share no homology to current annotated proteins. As a result, a large proportion of phage genes are annotated as hypothetical. This reality heavily affects the annotation of both structural and auxiliary metabolic genes. Here we present phenomic methods designed to capture the physiological response(s) of a selected host during expression of one of these unknown phage genes. Multi-phenotype Assay Plates (MAPs) are used to monitor the diversity of host substrate utilization and subsequent biomass formation, while metabolomics provides bi-product analysis by monitoring metabolite abundance and diversity. Both tools are used simultaneously to provide a phenotypic profile associated with expression of a single putative phage open reading frame (ORF). Representative results for both methods are compared, highlighting the phenotypic profile differences of a host carrying either putative structural or metabolic phage genes. In addition, the visualization techniques and high throughput computational pipelines that facilitated experimental analysis are presented. |
format | Online Article Text |
id | pubmed-4544906 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | MyJove Corporation |
record_format | MEDLINE/PubMed |
spelling | pubmed-45449062015-09-03 Phage Phenomics: Physiological Approaches to Characterize Novel Viral Proteins Sanchez, Savannah E. Cuevas, Daniel A. Rostron, Jason E. Liang, Tiffany Y. Pivaroff, Cullen G. Haynes, Matthew R. Nulton, Jim Felts, Ben Bailey, Barbara A. Salamon, Peter Edwards, Robert A. Burgin, Alex B. Segall, Anca M. Rohwer, Forest J Vis Exp Immunology Current investigations into phage-host interactions are dependent on extrapolating knowledge from (meta)genomes. Interestingly, 60 - 95% of all phage sequences share no homology to current annotated proteins. As a result, a large proportion of phage genes are annotated as hypothetical. This reality heavily affects the annotation of both structural and auxiliary metabolic genes. Here we present phenomic methods designed to capture the physiological response(s) of a selected host during expression of one of these unknown phage genes. Multi-phenotype Assay Plates (MAPs) are used to monitor the diversity of host substrate utilization and subsequent biomass formation, while metabolomics provides bi-product analysis by monitoring metabolite abundance and diversity. Both tools are used simultaneously to provide a phenotypic profile associated with expression of a single putative phage open reading frame (ORF). Representative results for both methods are compared, highlighting the phenotypic profile differences of a host carrying either putative structural or metabolic phage genes. In addition, the visualization techniques and high throughput computational pipelines that facilitated experimental analysis are presented. MyJove Corporation 2015-06-11 /pmc/articles/PMC4544906/ /pubmed/26132888 http://dx.doi.org/10.3791/52854 Text en Copyright © 2015, Journal of Visualized Experiments http://creativecommons.org/licenses/by-nc-nd/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License. To view a copy of this license, visithttp://creativecommons.org/licenses/by-nc-nd/3.0/ |
spellingShingle | Immunology Sanchez, Savannah E. Cuevas, Daniel A. Rostron, Jason E. Liang, Tiffany Y. Pivaroff, Cullen G. Haynes, Matthew R. Nulton, Jim Felts, Ben Bailey, Barbara A. Salamon, Peter Edwards, Robert A. Burgin, Alex B. Segall, Anca M. Rohwer, Forest Phage Phenomics: Physiological Approaches to Characterize Novel Viral Proteins |
title | Phage Phenomics: Physiological Approaches to Characterize Novel Viral Proteins |
title_full | Phage Phenomics: Physiological Approaches to Characterize Novel Viral Proteins |
title_fullStr | Phage Phenomics: Physiological Approaches to Characterize Novel Viral Proteins |
title_full_unstemmed | Phage Phenomics: Physiological Approaches to Characterize Novel Viral Proteins |
title_short | Phage Phenomics: Physiological Approaches to Characterize Novel Viral Proteins |
title_sort | phage phenomics: physiological approaches to characterize novel viral proteins |
topic | Immunology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4544906/ https://www.ncbi.nlm.nih.gov/pubmed/26132888 http://dx.doi.org/10.3791/52854 |
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