Cargando…
Lipidomics of Environmental Microbial Communities. II: Characterization Using Molecular Networking and Information Theory
Structurally diverse, specialized lipids are crucial components of microbial membranes and other organelles and play essential roles in ecological functioning. The detection of such lipids in the environment can reveal not only the occurrence of specific microbes but also the physicochemical conditi...
Autores principales: | , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8311935/ https://www.ncbi.nlm.nih.gov/pubmed/34322097 http://dx.doi.org/10.3389/fmicb.2021.659315 |
_version_ | 1783729056649314304 |
---|---|
author | Ding, Su Bale, Nicole J. Hopmans, Ellen C. Villanueva, Laura Arts, Milou G. I. Schouten, Stefan Sinninghe Damsté, Jaap S. |
author_facet | Ding, Su Bale, Nicole J. Hopmans, Ellen C. Villanueva, Laura Arts, Milou G. I. Schouten, Stefan Sinninghe Damsté, Jaap S. |
author_sort | Ding, Su |
collection | PubMed |
description | Structurally diverse, specialized lipids are crucial components of microbial membranes and other organelles and play essential roles in ecological functioning. The detection of such lipids in the environment can reveal not only the occurrence of specific microbes but also the physicochemical conditions to which they are adapted to. Traditionally, liquid chromatography coupled with mass spectrometry allowed for the detection of lipids based on chromatographic separation and individual peak identification, resulting in a limited data acquisition and targeting of certain lipid groups. Here, we explored a comprehensive profiling of microbial lipids throughout the water column of a marine euxinic basin (Black Sea) using ultra high-pressure liquid chromatography coupled with high-resolution tandem mass spectrometry (UHPLC-HRMS/MS). An information theory framework combined with molecular networking based on the similarity of the mass spectra of lipids enabled us to capture lipidomic diversity and specificity in the environment, identify novel lipids, differentiate microbial sources within a lipid group, and discover potential biomarkers for biogeochemical processes. The workflow presented here allows microbial ecologists and biogeochemists to process quickly and efficiently vast amounts of lipidome data to understand microbial lipids characteristics in ecosystems. |
format | Online Article Text |
id | pubmed-8311935 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-83119352021-07-27 Lipidomics of Environmental Microbial Communities. II: Characterization Using Molecular Networking and Information Theory Ding, Su Bale, Nicole J. Hopmans, Ellen C. Villanueva, Laura Arts, Milou G. I. Schouten, Stefan Sinninghe Damsté, Jaap S. Front Microbiol Microbiology Structurally diverse, specialized lipids are crucial components of microbial membranes and other organelles and play essential roles in ecological functioning. The detection of such lipids in the environment can reveal not only the occurrence of specific microbes but also the physicochemical conditions to which they are adapted to. Traditionally, liquid chromatography coupled with mass spectrometry allowed for the detection of lipids based on chromatographic separation and individual peak identification, resulting in a limited data acquisition and targeting of certain lipid groups. Here, we explored a comprehensive profiling of microbial lipids throughout the water column of a marine euxinic basin (Black Sea) using ultra high-pressure liquid chromatography coupled with high-resolution tandem mass spectrometry (UHPLC-HRMS/MS). An information theory framework combined with molecular networking based on the similarity of the mass spectra of lipids enabled us to capture lipidomic diversity and specificity in the environment, identify novel lipids, differentiate microbial sources within a lipid group, and discover potential biomarkers for biogeochemical processes. The workflow presented here allows microbial ecologists and biogeochemists to process quickly and efficiently vast amounts of lipidome data to understand microbial lipids characteristics in ecosystems. Frontiers Media S.A. 2021-07-12 /pmc/articles/PMC8311935/ /pubmed/34322097 http://dx.doi.org/10.3389/fmicb.2021.659315 Text en Copyright © 2021 Ding, Bale, Hopmans, Villanueva, Arts, Schouten and Sinninghe Damsté. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Microbiology Ding, Su Bale, Nicole J. Hopmans, Ellen C. Villanueva, Laura Arts, Milou G. I. Schouten, Stefan Sinninghe Damsté, Jaap S. Lipidomics of Environmental Microbial Communities. II: Characterization Using Molecular Networking and Information Theory |
title | Lipidomics of Environmental Microbial Communities. II: Characterization Using Molecular Networking and Information Theory |
title_full | Lipidomics of Environmental Microbial Communities. II: Characterization Using Molecular Networking and Information Theory |
title_fullStr | Lipidomics of Environmental Microbial Communities. II: Characterization Using Molecular Networking and Information Theory |
title_full_unstemmed | Lipidomics of Environmental Microbial Communities. II: Characterization Using Molecular Networking and Information Theory |
title_short | Lipidomics of Environmental Microbial Communities. II: Characterization Using Molecular Networking and Information Theory |
title_sort | lipidomics of environmental microbial communities. ii: characterization using molecular networking and information theory |
topic | Microbiology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8311935/ https://www.ncbi.nlm.nih.gov/pubmed/34322097 http://dx.doi.org/10.3389/fmicb.2021.659315 |
work_keys_str_mv | AT dingsu lipidomicsofenvironmentalmicrobialcommunitiesiicharacterizationusingmolecularnetworkingandinformationtheory AT balenicolej lipidomicsofenvironmentalmicrobialcommunitiesiicharacterizationusingmolecularnetworkingandinformationtheory AT hopmansellenc lipidomicsofenvironmentalmicrobialcommunitiesiicharacterizationusingmolecularnetworkingandinformationtheory AT villanuevalaura lipidomicsofenvironmentalmicrobialcommunitiesiicharacterizationusingmolecularnetworkingandinformationtheory AT artsmilougi lipidomicsofenvironmentalmicrobialcommunitiesiicharacterizationusingmolecularnetworkingandinformationtheory AT schoutenstefan lipidomicsofenvironmentalmicrobialcommunitiesiicharacterizationusingmolecularnetworkingandinformationtheory AT sinninghedamstejaaps lipidomicsofenvironmentalmicrobialcommunitiesiicharacterizationusingmolecularnetworkingandinformationtheory |