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Methods to Investigate the Global Atmospheric Microbiome

The interplay between microbes and atmospheric physical and chemical conditions is an open field of research that can only be fully addressed using multidisciplinary approaches. The lack of coordinated efforts to gather data at representative temporal and spatial scales limits aerobiology to help un...

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Autores principales: Dommergue, Aurelien, Amato, Pierre, Tignat-Perrier, Romie, Magand, Olivier, Thollot, Alban, Joly, Muriel, Bouvier, Laetitia, Sellegri, Karine, Vogel, Timothy, Sonke, Jeroen E., Jaffrezo, Jean-Luc, Andrade, Marcos, Moreno, Isabel, Labuschagne, Casper, Martin, Lynwill, Zhang, Qianggong, Larose, Catherine
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6394204/
https://www.ncbi.nlm.nih.gov/pubmed/30967843
http://dx.doi.org/10.3389/fmicb.2019.00243
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author Dommergue, Aurelien
Amato, Pierre
Tignat-Perrier, Romie
Magand, Olivier
Thollot, Alban
Joly, Muriel
Bouvier, Laetitia
Sellegri, Karine
Vogel, Timothy
Sonke, Jeroen E.
Jaffrezo, Jean-Luc
Andrade, Marcos
Moreno, Isabel
Labuschagne, Casper
Martin, Lynwill
Zhang, Qianggong
Larose, Catherine
author_facet Dommergue, Aurelien
Amato, Pierre
Tignat-Perrier, Romie
Magand, Olivier
Thollot, Alban
Joly, Muriel
Bouvier, Laetitia
Sellegri, Karine
Vogel, Timothy
Sonke, Jeroen E.
Jaffrezo, Jean-Luc
Andrade, Marcos
Moreno, Isabel
Labuschagne, Casper
Martin, Lynwill
Zhang, Qianggong
Larose, Catherine
author_sort Dommergue, Aurelien
collection PubMed
description The interplay between microbes and atmospheric physical and chemical conditions is an open field of research that can only be fully addressed using multidisciplinary approaches. The lack of coordinated efforts to gather data at representative temporal and spatial scales limits aerobiology to help understand large scale patterns of global microbial biodiversity and its causal relationships with the environmental context. This paper presents the sampling strategy and analytical protocols developed in order to integrate different fields of research such as microbiology, –omics biology, atmospheric chemistry, physics and meteorology to characterize atmospheric microbial life. These include control of chemical and microbial contaminations from sampling to analysis and identification of experimental procedures for characterizing airborne microbial biodiversity and its functioning from the atmospheric samples collected at remote sites from low cell density environments. We used high-volume sampling strategy to address both chemical and microbial composition of the atmosphere, because it can help overcome low aerosol and microbial cell concentrations. To account for contaminations, exposed and unexposed control filters were processed along with the samples. We present a method that allows for the extraction of chemical and biological data from the same quartz filters. We tested different sampling times, extraction kits and methods to optimize DNA yield from filters. Based on our results, we recommend supplementary sterilization steps to reduce filter contamination induced by handling and transport. These include manipulation under laminar flow hoods and UV sterilization. In terms of DNA extraction, we recommend a vortex step and a heating step to reduce binding to the quartz fibers of the filters. These steps have led to a 10-fold increase in DNA yield, allowing for downstream omics analysis of air samples. Based on our results, our method can be integrated into pre-existing long-term monitoring field protocols for the atmosphere both in terms of atmospheric chemistry and biology. We recommend using standardized air volumes and to develop standard operating protocols for field users to better control the operational quality.
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spelling pubmed-63942042019-04-09 Methods to Investigate the Global Atmospheric Microbiome Dommergue, Aurelien Amato, Pierre Tignat-Perrier, Romie Magand, Olivier Thollot, Alban Joly, Muriel Bouvier, Laetitia Sellegri, Karine Vogel, Timothy Sonke, Jeroen E. Jaffrezo, Jean-Luc Andrade, Marcos Moreno, Isabel Labuschagne, Casper Martin, Lynwill Zhang, Qianggong Larose, Catherine Front Microbiol Microbiology The interplay between microbes and atmospheric physical and chemical conditions is an open field of research that can only be fully addressed using multidisciplinary approaches. The lack of coordinated efforts to gather data at representative temporal and spatial scales limits aerobiology to help understand large scale patterns of global microbial biodiversity and its causal relationships with the environmental context. This paper presents the sampling strategy and analytical protocols developed in order to integrate different fields of research such as microbiology, –omics biology, atmospheric chemistry, physics and meteorology to characterize atmospheric microbial life. These include control of chemical and microbial contaminations from sampling to analysis and identification of experimental procedures for characterizing airborne microbial biodiversity and its functioning from the atmospheric samples collected at remote sites from low cell density environments. We used high-volume sampling strategy to address both chemical and microbial composition of the atmosphere, because it can help overcome low aerosol and microbial cell concentrations. To account for contaminations, exposed and unexposed control filters were processed along with the samples. We present a method that allows for the extraction of chemical and biological data from the same quartz filters. We tested different sampling times, extraction kits and methods to optimize DNA yield from filters. Based on our results, we recommend supplementary sterilization steps to reduce filter contamination induced by handling and transport. These include manipulation under laminar flow hoods and UV sterilization. In terms of DNA extraction, we recommend a vortex step and a heating step to reduce binding to the quartz fibers of the filters. These steps have led to a 10-fold increase in DNA yield, allowing for downstream omics analysis of air samples. Based on our results, our method can be integrated into pre-existing long-term monitoring field protocols for the atmosphere both in terms of atmospheric chemistry and biology. We recommend using standardized air volumes and to develop standard operating protocols for field users to better control the operational quality. Frontiers Media S.A. 2019-02-21 /pmc/articles/PMC6394204/ /pubmed/30967843 http://dx.doi.org/10.3389/fmicb.2019.00243 Text en Copyright © 2019 Dommergue, Amato, Tignat-Perrier, Magand, Thollot, Joly, Bouvier, Sellegri, Vogel, Sonke, Jaffrezo, Andrade, Moreno, Labuschagne, Martin, Zhang and Larose. http://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
Dommergue, Aurelien
Amato, Pierre
Tignat-Perrier, Romie
Magand, Olivier
Thollot, Alban
Joly, Muriel
Bouvier, Laetitia
Sellegri, Karine
Vogel, Timothy
Sonke, Jeroen E.
Jaffrezo, Jean-Luc
Andrade, Marcos
Moreno, Isabel
Labuschagne, Casper
Martin, Lynwill
Zhang, Qianggong
Larose, Catherine
Methods to Investigate the Global Atmospheric Microbiome
title Methods to Investigate the Global Atmospheric Microbiome
title_full Methods to Investigate the Global Atmospheric Microbiome
title_fullStr Methods to Investigate the Global Atmospheric Microbiome
title_full_unstemmed Methods to Investigate the Global Atmospheric Microbiome
title_short Methods to Investigate the Global Atmospheric Microbiome
title_sort methods to investigate the global atmospheric microbiome
topic Microbiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6394204/
https://www.ncbi.nlm.nih.gov/pubmed/30967843
http://dx.doi.org/10.3389/fmicb.2019.00243
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