Cargando…
Effect of endogenous microbiota on the molecular composition of cloud water: a study by Fourier-transform ion cyclotron resonance mass spectrometry (FT-ICR MS)
A cloud water sample collected at the puy de Dôme observatory (PUY) has been incubated under dark conditions, with its endogenous microbiota at two different temperatures (5 and 15 °C), and the change in the molecular organic composition of this sample was analyzed by Fourier transform ion cyclotron...
Autores principales: | , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6529453/ https://www.ncbi.nlm.nih.gov/pubmed/31113999 http://dx.doi.org/10.1038/s41598-019-44149-8 |
_version_ | 1783420389502746624 |
---|---|
author | Bianco, Angelica Deguillaume, Laurent Chaumerliac, Nadine Vaïtilingom, Mickaël Wang, Miao Delort, Anne-Marie Bridoux, Maxime C. |
author_facet | Bianco, Angelica Deguillaume, Laurent Chaumerliac, Nadine Vaïtilingom, Mickaël Wang, Miao Delort, Anne-Marie Bridoux, Maxime C. |
author_sort | Bianco, Angelica |
collection | PubMed |
description | A cloud water sample collected at the puy de Dôme observatory (PUY) has been incubated under dark conditions, with its endogenous microbiota at two different temperatures (5 and 15 °C), and the change in the molecular organic composition of this sample was analyzed by Fourier transform ion cyclotron resonance mass spectrometry (FT-ICR MS). Microorganisms were metabolically active and strongly modified the dissolved organic matter since they were able to form and consume many compounds. Using Venn diagrams, four fractions of compounds were identified: (1) compounds consumed by microbial activity; (2) compounds not transformed during incubation; (3) compounds resulting from dark chemistry (i.e., hydrolysis and Fenton reactions) and, finally, (4) compounds resulting from microbial metabolic activity. At 15 °C, microorganisms were able to consume 58% of the compounds initially present and produce 266 new compounds. For this cloud sample, the impact of dark chemistry was negligible. Decreasing the temperature to 5 °C led to the more efficient degradation of organic compounds (1716 compounds vs. 1094 at 15 °C) but with the less important production of new ones (173). These transformations were analyzed using a division into classes based on the O/C and H/C ratios: lipid-like compounds, aliphatic/peptide-like compounds, carboxylic-rich alicyclic molecule (CRAM)-like structures, carbohydrate-like compounds, unsaturated hydrocarbons, aromatic structures and highly oxygenated compounds (HOCs). Lipid-like, aliphatic/peptide-like and CRAMs-like compounds were the most impacted since they were consumed to maintain the microbial metabolism. On the contrary, the relative percentages of CRAMs and carbohydrates increased after incubation. |
format | Online Article Text |
id | pubmed-6529453 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-65294532019-05-30 Effect of endogenous microbiota on the molecular composition of cloud water: a study by Fourier-transform ion cyclotron resonance mass spectrometry (FT-ICR MS) Bianco, Angelica Deguillaume, Laurent Chaumerliac, Nadine Vaïtilingom, Mickaël Wang, Miao Delort, Anne-Marie Bridoux, Maxime C. Sci Rep Article A cloud water sample collected at the puy de Dôme observatory (PUY) has been incubated under dark conditions, with its endogenous microbiota at two different temperatures (5 and 15 °C), and the change in the molecular organic composition of this sample was analyzed by Fourier transform ion cyclotron resonance mass spectrometry (FT-ICR MS). Microorganisms were metabolically active and strongly modified the dissolved organic matter since they were able to form and consume many compounds. Using Venn diagrams, four fractions of compounds were identified: (1) compounds consumed by microbial activity; (2) compounds not transformed during incubation; (3) compounds resulting from dark chemistry (i.e., hydrolysis and Fenton reactions) and, finally, (4) compounds resulting from microbial metabolic activity. At 15 °C, microorganisms were able to consume 58% of the compounds initially present and produce 266 new compounds. For this cloud sample, the impact of dark chemistry was negligible. Decreasing the temperature to 5 °C led to the more efficient degradation of organic compounds (1716 compounds vs. 1094 at 15 °C) but with the less important production of new ones (173). These transformations were analyzed using a division into classes based on the O/C and H/C ratios: lipid-like compounds, aliphatic/peptide-like compounds, carboxylic-rich alicyclic molecule (CRAM)-like structures, carbohydrate-like compounds, unsaturated hydrocarbons, aromatic structures and highly oxygenated compounds (HOCs). Lipid-like, aliphatic/peptide-like and CRAMs-like compounds were the most impacted since they were consumed to maintain the microbial metabolism. On the contrary, the relative percentages of CRAMs and carbohydrates increased after incubation. Nature Publishing Group UK 2019-05-21 /pmc/articles/PMC6529453/ /pubmed/31113999 http://dx.doi.org/10.1038/s41598-019-44149-8 Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as 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 images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Bianco, Angelica Deguillaume, Laurent Chaumerliac, Nadine Vaïtilingom, Mickaël Wang, Miao Delort, Anne-Marie Bridoux, Maxime C. Effect of endogenous microbiota on the molecular composition of cloud water: a study by Fourier-transform ion cyclotron resonance mass spectrometry (FT-ICR MS) |
title | Effect of endogenous microbiota on the molecular composition of cloud water: a study by Fourier-transform ion cyclotron resonance mass spectrometry (FT-ICR MS) |
title_full | Effect of endogenous microbiota on the molecular composition of cloud water: a study by Fourier-transform ion cyclotron resonance mass spectrometry (FT-ICR MS) |
title_fullStr | Effect of endogenous microbiota on the molecular composition of cloud water: a study by Fourier-transform ion cyclotron resonance mass spectrometry (FT-ICR MS) |
title_full_unstemmed | Effect of endogenous microbiota on the molecular composition of cloud water: a study by Fourier-transform ion cyclotron resonance mass spectrometry (FT-ICR MS) |
title_short | Effect of endogenous microbiota on the molecular composition of cloud water: a study by Fourier-transform ion cyclotron resonance mass spectrometry (FT-ICR MS) |
title_sort | effect of endogenous microbiota on the molecular composition of cloud water: a study by fourier-transform ion cyclotron resonance mass spectrometry (ft-icr ms) |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6529453/ https://www.ncbi.nlm.nih.gov/pubmed/31113999 http://dx.doi.org/10.1038/s41598-019-44149-8 |
work_keys_str_mv | AT biancoangelica effectofendogenousmicrobiotaonthemolecularcompositionofcloudwaterastudybyfouriertransformioncyclotronresonancemassspectrometryfticrms AT deguillaumelaurent effectofendogenousmicrobiotaonthemolecularcompositionofcloudwaterastudybyfouriertransformioncyclotronresonancemassspectrometryfticrms AT chaumerliacnadine effectofendogenousmicrobiotaonthemolecularcompositionofcloudwaterastudybyfouriertransformioncyclotronresonancemassspectrometryfticrms AT vaitilingommickael effectofendogenousmicrobiotaonthemolecularcompositionofcloudwaterastudybyfouriertransformioncyclotronresonancemassspectrometryfticrms AT wangmiao effectofendogenousmicrobiotaonthemolecularcompositionofcloudwaterastudybyfouriertransformioncyclotronresonancemassspectrometryfticrms AT delortannemarie effectofendogenousmicrobiotaonthemolecularcompositionofcloudwaterastudybyfouriertransformioncyclotronresonancemassspectrometryfticrms AT bridouxmaximec effectofendogenousmicrobiotaonthemolecularcompositionofcloudwaterastudybyfouriertransformioncyclotronresonancemassspectrometryfticrms |