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In plaque-mass spectrometry imaging of a bloom-forming alga during viral infection reveals a metabolic shift towards odd-chain fatty acid lipids

Tapping into the metabolic cross-talk 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...

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Autores principales: Schleyer, Guy, Shahaf, Nir, Ziv, Carmit, Dong, Yonghui, Meoded, Roy A., Helfrich, Eric J. N., Schatz, Daniella, Rosenwasser, Shilo, Rogachev, Ilana, Aharoni, Asaph, Piel, Jörn, Vardi, Assaf
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6420086/
https://www.ncbi.nlm.nih.gov/pubmed/30718847
http://dx.doi.org/10.1038/s41564-018-0336-y
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author Schleyer, Guy
Shahaf, Nir
Ziv, Carmit
Dong, Yonghui
Meoded, Roy A.
Helfrich, Eric J. N.
Schatz, Daniella
Rosenwasser, Shilo
Rogachev, Ilana
Aharoni, Asaph
Piel, Jörn
Vardi, Assaf
author_facet Schleyer, Guy
Shahaf, Nir
Ziv, Carmit
Dong, Yonghui
Meoded, Roy A.
Helfrich, Eric J. N.
Schatz, Daniella
Rosenwasser, Shilo
Rogachev, Ilana
Aharoni, Asaph
Piel, Jörn
Vardi, Assaf
author_sort Schleyer, Guy
collection PubMed
description Tapping into the metabolic cross-talk 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’ might facilitate the discovery of bioactive compounds that mediate the chemical arms race of host-virus interactions in diverse model systems.
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spelling pubmed-64200862019-08-04 In plaque-mass spectrometry imaging of a bloom-forming alga during viral infection reveals a metabolic shift towards odd-chain fatty acid lipids Schleyer, Guy Shahaf, Nir Ziv, Carmit Dong, Yonghui Meoded, Roy A. Helfrich, Eric J. N. Schatz, Daniella Rosenwasser, Shilo Rogachev, Ilana Aharoni, Asaph Piel, Jörn Vardi, Assaf Nat Microbiol Article Tapping into the metabolic cross-talk 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’ might facilitate the discovery of bioactive compounds that mediate the chemical arms race of host-virus interactions in diverse model systems. 2019-02-04 2019-03 /pmc/articles/PMC6420086/ /pubmed/30718847 http://dx.doi.org/10.1038/s41564-018-0336-y Text en Users may view, print, copy, and download text and data-mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use:http://www.nature.com/authors/editorial_policies/license.html#terms
spellingShingle Article
Schleyer, Guy
Shahaf, Nir
Ziv, Carmit
Dong, Yonghui
Meoded, Roy A.
Helfrich, Eric J. N.
Schatz, Daniella
Rosenwasser, Shilo
Rogachev, Ilana
Aharoni, Asaph
Piel, Jörn
Vardi, Assaf
In plaque-mass spectrometry imaging of a bloom-forming alga during viral infection reveals a metabolic shift towards odd-chain fatty acid lipids
title In plaque-mass spectrometry imaging of a bloom-forming alga during viral infection reveals a metabolic shift towards odd-chain fatty acid lipids
title_full In plaque-mass spectrometry imaging of a bloom-forming alga during viral infection reveals a metabolic shift towards odd-chain fatty acid lipids
title_fullStr In plaque-mass spectrometry imaging of a bloom-forming alga during viral infection reveals a metabolic shift towards odd-chain fatty acid lipids
title_full_unstemmed In plaque-mass spectrometry imaging of a bloom-forming alga during viral infection reveals a metabolic shift towards odd-chain fatty acid lipids
title_short In plaque-mass spectrometry imaging of a bloom-forming alga during viral infection reveals a metabolic shift towards odd-chain fatty acid lipids
title_sort in plaque-mass spectrometry imaging of a bloom-forming alga during viral infection reveals a metabolic shift towards odd-chain fatty acid lipids
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6420086/
https://www.ncbi.nlm.nih.gov/pubmed/30718847
http://dx.doi.org/10.1038/s41564-018-0336-y
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