Evidence map›Paper›PMID 30967843›Full record

ArticleFrontiers in microbiology2019

Methods to Investigate the Global Atmospheric Microbiome.

Aurelien Dommergue, Pierre Amato, Romie Tignat-Perrier, Olivier Magand, Alban Thollot, Muriel Joly, Laetitia Bouvier, Karine Sellegri, Timothy Vogel, Jeroen E Sonke and 7 more

Abstract read
In one paragraph

Article in Frontiers in microbiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

17 authors.

Aurelien DommergueInstitut des Géosciences de l'Environnement, Univ. Grenoble Alpes, CNRS, IRD, Grenoble INP, Grenoble, France.
Pierre AmatoInstitut de Chimie de Clermont-Ferrand, UMR6096 CNRS-Université Clermont Auvergne-Sigma, Clermont-Ferrand, France.
Romie Tignat-PerrierInstitut des Géosciences de l'Environnement, Univ. Grenoble Alpes, CNRS, IRD, Grenoble INP, Grenoble, France.
Olivier MagandInstitut des Géosciences de l'Environnement, Univ. Grenoble Alpes, CNRS, IRD, Grenoble INP, Grenoble, France.
Alban ThollotInstitut des Géosciences de l'Environnement, Univ. Grenoble Alpes, CNRS, IRD, Grenoble INP, Grenoble, France.
Muriel JolyInstitut de Chimie de Clermont-Ferrand, UMR6096 CNRS-Université Clermont Auvergne-Sigma, Clermont-Ferrand, France.
Laetitia BouvierLaboratory for Meteorological Physics (LaMP), Université Clermont Auvergne, Clermont-Ferrand, France.
Karine SellegriLaboratory for Meteorological Physics (LaMP), Université Clermont Auvergne, Clermont-Ferrand, France.
Timothy VogelCNRS UMR 5005, Environmental Microbial Genomics, Laboratoire Ampère, École Centrale de Lyon, Université de Lyon, Ecully, France.
Jeroen E SonkeGéosciences Environnement Toulouse, Centre National de la Recherche Scientifique, Institut de Recherche pour le Développement, Université de Toulouse, Toulouse, France.
Jean-Luc JaffrezoInstitut des Géosciences de l'Environnement, Univ. Grenoble Alpes, CNRS, IRD, Grenoble INP, Grenoble, France.
Marcos AndradeLaboratory for Atmospheric Physics, Institute for Physics Research, Universidad Mayor de San Andrés, La Paz, Bolivia.
Isabel MorenoLaboratory for Atmospheric Physics, Institute for Physics Research, Universidad Mayor de San Andrés, La Paz, Bolivia.
Casper LabuschagneSouth African Weather Service, Stellenbosch, South Africa.
Lynwill MartinSouth African Weather Service, Stellenbosch, South Africa.
Qianggong ZhangKey Laboratory of Tibetan Environment Changes and Land Surface Processes, Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing, China.
Catherine LaroseCNRS UMR 5005, Environmental Microbial Genomics, Laboratoire Ampère, École Centrale de Lyon, Université de Lyon, Ecully, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

aerobiologyaerosolsatmospherebiogeographymethodsmicroorganisms biodiversityprotocols

Identifiers

PMID30967843
PMCPMC6394204

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.