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
Department of Biology, San Diego State University;
Computational Science Research Center, San Diego State University.
J Vis Exp. 2015 Jun 11(100):e52854. doi: 10.3791/52854.
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.
目前对噬菌体 - 宿主相互作用的研究依赖于从(宏)基因组中推断知识。有趣的是,所有噬菌体序列中有60 - 95%与当前注释的蛋白质没有同源性。因此,很大一部分噬菌体基因被注释为假设性的。这一现实严重影响了结构基因和辅助代谢基因的注释。在这里,我们提出了表型组学方法,旨在捕捉在这些未知噬菌体基因之一的表达过程中选定宿主的生理反应。多表型分析板(MAPs)用于监测宿主底物利用的多样性和随后的生物量形成,而代谢组学则通过监测代谢物丰度和多样性来提供副产物分析。这两种工具同时使用,以提供与单个假定噬菌体开放阅读框(ORF)表达相关的表型概况。比较了这两种方法的代表性结果,突出了携带假定结构或代谢噬菌体基因的宿主的表型概况差异。此外,还介绍了有助于实验分析的可视化技术和高通量计算流程。