Global airborne microbial communities controlled by surrounding landscapes and wind conditions

Abstract The atmosphere is an important route for transporting and disseminating microorganisms over short and long distances. Understanding how microorganisms are distributed in the atmosphere is critical due to their role in public health, meteorology and atmospheric chemistry. In order to determi...

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Autores principales:	Romie Tignat-Perrier, Aurélien Dommergue, Alban Thollot, Christoph Keuschnig, Olivier Magand, Timothy M. Vogel, Catherine Larose
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2019
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/66818fac702e4617a6e74bc82925b723
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spelling	oai:doaj.org-article:66818fac702e4617a6e74bc82925b7232021-12-02T15:09:35ZGlobal airborne microbial communities controlled by surrounding landscapes and wind conditions10.1038/s41598-019-51073-42045-2322https://doaj.org/article/66818fac702e4617a6e74bc82925b7232019-10-01T00:00:00Zhttps://doi.org/10.1038/s41598-019-51073-4https://doaj.org/toc/2045-2322Abstract The atmosphere is an important route for transporting and disseminating microorganisms over short and long distances. Understanding how microorganisms are distributed in the atmosphere is critical due to their role in public health, meteorology and atmospheric chemistry. In order to determine the dominant processes that structure airborne microbial communities, we investigated the diversity and abundance of both bacteria and fungi from the PM10 particle size (particulate matter of 10 micrometers or less in diameter) as well as particulate matter chemistry and local meteorological characteristics over time at nine different meteorological stations around the world. The bacterial genera Bacillus and Sphingomonas as well as the fungal species Pseudotaeniolina globaosa and Cladophialophora proteae were the most abundant taxa of the dataset, although their relative abundances varied greatly based on sampling site. Bacterial and fungal concentration was the highest at the high-altitude and semi-arid plateau of Namco (China; 3.56 × 106 ± 3.01 × 106 cells/m3) and at the high-altitude and vegetated mountain peak Storm-Peak (Colorado, USA; 8.78 × 104 ± 6.49 × 104 cells/m3), respectively. Surrounding ecosystems, especially within a 50 km perimeter of our sampling stations, were the main contributors to the composition of airborne microbial communities. Temporal stability in the composition of airborne microbial communities was mainly explained by the diversity and evenness of the surrounding landscapes and the wind direction variability over time. Airborne microbial communities appear to be the result of large inputs from nearby sources with possible low and diluted inputs from distant sources.Romie Tignat-PerrierAurélien DommergueAlban ThollotChristoph KeuschnigOlivier MagandTimothy M. VogelCatherine LaroseNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 9, Iss 1, Pp 1-11 (2019)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Romie Tignat-Perrier Aurélien Dommergue Alban Thollot Christoph Keuschnig Olivier Magand Timothy M. Vogel Catherine Larose Global airborne microbial communities controlled by surrounding landscapes and wind conditions
description	Abstract The atmosphere is an important route for transporting and disseminating microorganisms over short and long distances. Understanding how microorganisms are distributed in the atmosphere is critical due to their role in public health, meteorology and atmospheric chemistry. In order to determine the dominant processes that structure airborne microbial communities, we investigated the diversity and abundance of both bacteria and fungi from the PM10 particle size (particulate matter of 10 micrometers or less in diameter) as well as particulate matter chemistry and local meteorological characteristics over time at nine different meteorological stations around the world. The bacterial genera Bacillus and Sphingomonas as well as the fungal species Pseudotaeniolina globaosa and Cladophialophora proteae were the most abundant taxa of the dataset, although their relative abundances varied greatly based on sampling site. Bacterial and fungal concentration was the highest at the high-altitude and semi-arid plateau of Namco (China; 3.56 × 106 ± 3.01 × 106 cells/m3) and at the high-altitude and vegetated mountain peak Storm-Peak (Colorado, USA; 8.78 × 104 ± 6.49 × 104 cells/m3), respectively. Surrounding ecosystems, especially within a 50 km perimeter of our sampling stations, were the main contributors to the composition of airborne microbial communities. Temporal stability in the composition of airborne microbial communities was mainly explained by the diversity and evenness of the surrounding landscapes and the wind direction variability over time. Airborne microbial communities appear to be the result of large inputs from nearby sources with possible low and diluted inputs from distant sources.
format	article
author	Romie Tignat-Perrier Aurélien Dommergue Alban Thollot Christoph Keuschnig Olivier Magand Timothy M. Vogel Catherine Larose
author_facet	Romie Tignat-Perrier Aurélien Dommergue Alban Thollot Christoph Keuschnig Olivier Magand Timothy M. Vogel Catherine Larose
author_sort	Romie Tignat-Perrier
title	Global airborne microbial communities controlled by surrounding landscapes and wind conditions
title_short	Global airborne microbial communities controlled by surrounding landscapes and wind conditions
title_full	Global airborne microbial communities controlled by surrounding landscapes and wind conditions
title_fullStr	Global airborne microbial communities controlled by surrounding landscapes and wind conditions
title_full_unstemmed	Global airborne microbial communities controlled by surrounding landscapes and wind conditions
title_sort	global airborne microbial communities controlled by surrounding landscapes and wind conditions
publisher	Nature Portfolio
publishDate	2019
url	https://doaj.org/article/66818fac702e4617a6e74bc82925b723
work_keys_str_mv	AT romietignatperrier globalairbornemicrobialcommunitiescontrolledbysurroundinglandscapesandwindconditions AT aureliendommergue globalairbornemicrobialcommunitiescontrolledbysurroundinglandscapesandwindconditions AT albanthollot globalairbornemicrobialcommunitiescontrolledbysurroundinglandscapesandwindconditions AT christophkeuschnig globalairbornemicrobialcommunitiescontrolledbysurroundinglandscapesandwindconditions AT oliviermagand globalairbornemicrobialcommunitiescontrolledbysurroundinglandscapesandwindconditions AT timothymvogel globalairbornemicrobialcommunitiescontrolledbysurroundinglandscapesandwindconditions AT catherinelarose globalairbornemicrobialcommunitiescontrolledbysurroundinglandscapesandwindconditions
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Global airborne microbial communities controlled by surrounding landscapes and wind conditions

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