赫氏颗石藻
生物
代谢组学
人口
病毒
计算生物学
病毒学
生物信息学
营养物
医学
生态学
环境卫生
浮游植物
作者
Guy Schleyer,Nir Shahaf,Carmit Ziv,Yonghui Dong,Roy A. Meoded,Eric J. N. Helfrich,Daniella Schatz,Shilo Rosenwasser,Ilana Rogachev,Asaph Aharoni,Jörn Piel,Assaf Vardi
标识
DOI:10.1038/s41564-018-0336-y
摘要
Tapping into the metabolic crosstalk between a host and its virus can reveal unique strategies employed during infection. Viral infection is a dynamic process that generates an evolving metabolic landscape. Gaining a continuous view into the infection process is highly challenging and is limited by current metabolomics approaches, which typically measure the average of the entire population at various stages of infection. Here, we took an innovative approach to study the metabolic basis of host–virus interactions between the bloom-forming alga Emiliania huxleyi and its specific virus. We combined a classical method in virology, the plaque assay, with advanced mass spectrometry imaging (MSI), an approach we termed ‘in plaque-MSI’. Taking advantage of the spatial characteristics of the plaque, we mapped the metabolic landscape induced during infection in a high spatiotemporal resolution, unfolding the infection process in a continuous manner. Further unsupervised spatially aware clustering, combined with known lipid biomarkers, revealed a systematic metabolic shift during infection towards lipids containing the odd-chain fatty acid pentadecanoic acid (C15:0). Applying ‘in plaque-MSI’ may facilitate the discovery of bioactive compounds that mediate the chemical arms race of host–virus interactions in diverse model systems. Combining the plaque assay with mass spectrometry imaging allowed high spatiotemporal resolution mapping of metabolites produced during viral infection of the alga Emiliania huxleyi, and revealed a shift in lipid metabolism towards odd-chain fatty acid lipids.
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