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Ultraviolet (IUV) and mass spectrometry (IMS) imaging for the deconvolution of microbial interactions
BACKGROUND: Spatial localization of natural products or proteins during microbial interactions can help to identify new antimicrobials both as offensive or defensive agents. Visible spatial interactions have been used for decades to enhance Drug Discovery processes both in industry and academia. RES...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6245691/ https://www.ncbi.nlm.nih.gov/pubmed/30458793 http://dx.doi.org/10.1186/s12918-018-0617-3 |
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author | González-Menéndez, Víctor Martínez, Germán Serrano, Rachel Muñoz, Francisca Martín, Jesús Genilloud, Olga Tormo, José R. |
author_facet | González-Menéndez, Víctor Martínez, Germán Serrano, Rachel Muñoz, Francisca Martín, Jesús Genilloud, Olga Tormo, José R. |
author_sort | González-Menéndez, Víctor |
collection | PubMed |
description | BACKGROUND: Spatial localization of natural products or proteins during microbial interactions can help to identify new antimicrobials both as offensive or defensive agents. Visible spatial interactions have been used for decades to enhance Drug Discovery processes both in industry and academia. RESULTS: Herein we describe an automated micro-extraction methodology, that coupled with the previously described HPLC-Studio 2.0 software and the new development, the MASS-Studio 1.0 software, can combine multiple chemical analyses to generate ultraviolet (UV) and mass spectrometry (MS) images from traditional affordable analytical equipment. As a proof of concept, we applied this methodology on two microbial antagonisms observed among co-habitant endophytes isolated from endemic plants of arid areas of the south of Europe. CONCLUSIONS: The use of UV and MS images highlighted interacting naturals products and allowed clear identification of induced molecules of interest not produced by the strains when cultured individually. |
format | Online Article Text |
id | pubmed-6245691 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-62456912018-11-26 Ultraviolet (IUV) and mass spectrometry (IMS) imaging for the deconvolution of microbial interactions González-Menéndez, Víctor Martínez, Germán Serrano, Rachel Muñoz, Francisca Martín, Jesús Genilloud, Olga Tormo, José R. BMC Syst Biol Research BACKGROUND: Spatial localization of natural products or proteins during microbial interactions can help to identify new antimicrobials both as offensive or defensive agents. Visible spatial interactions have been used for decades to enhance Drug Discovery processes both in industry and academia. RESULTS: Herein we describe an automated micro-extraction methodology, that coupled with the previously described HPLC-Studio 2.0 software and the new development, the MASS-Studio 1.0 software, can combine multiple chemical analyses to generate ultraviolet (UV) and mass spectrometry (MS) images from traditional affordable analytical equipment. As a proof of concept, we applied this methodology on two microbial antagonisms observed among co-habitant endophytes isolated from endemic plants of arid areas of the south of Europe. CONCLUSIONS: The use of UV and MS images highlighted interacting naturals products and allowed clear identification of induced molecules of interest not produced by the strains when cultured individually. BioMed Central 2018-11-20 /pmc/articles/PMC6245691/ /pubmed/30458793 http://dx.doi.org/10.1186/s12918-018-0617-3 Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research González-Menéndez, Víctor Martínez, Germán Serrano, Rachel Muñoz, Francisca Martín, Jesús Genilloud, Olga Tormo, José R. Ultraviolet (IUV) and mass spectrometry (IMS) imaging for the deconvolution of microbial interactions |
title | Ultraviolet (IUV) and mass spectrometry (IMS) imaging for the deconvolution of microbial interactions |
title_full | Ultraviolet (IUV) and mass spectrometry (IMS) imaging for the deconvolution of microbial interactions |
title_fullStr | Ultraviolet (IUV) and mass spectrometry (IMS) imaging for the deconvolution of microbial interactions |
title_full_unstemmed | Ultraviolet (IUV) and mass spectrometry (IMS) imaging for the deconvolution of microbial interactions |
title_short | Ultraviolet (IUV) and mass spectrometry (IMS) imaging for the deconvolution of microbial interactions |
title_sort | ultraviolet (iuv) and mass spectrometry (ims) imaging for the deconvolution of microbial interactions |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6245691/ https://www.ncbi.nlm.nih.gov/pubmed/30458793 http://dx.doi.org/10.1186/s12918-018-0617-3 |
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