TY - JOUR
T1 - The aerobiome uncovered
T2 - Multi-marker metabarcoding reveals potential drivers of turn-over in the full microbial community in the air
AU - de Groot, G Arjen
AU - Geisen, Stefan
AU - Wubs, E R Jasper
AU - Meulenbroek, Liz
AU - Laros, Ivo
AU - Snoek, L Basten
AU - Lammertsma, Dennis R
AU - Hansen, Lars H
AU - Slim, Pieter A
N1 - Copyright © 2021 The Author(s). Published by Elsevier Ltd.. All rights reserved.
Funding Information:
This research was part of the KennisBasis IV strategic research program ‘Sustainable Spatial Development of Ecosystems, Landscapes, Seas and Regions’ (KB-24-002-005), funded by the Dutch Ministry of Economic Affairs and carried out by Wageningen University & Research. SG was supported by an NWO-VENI grant from the Netherlands Organization for Scientific Research (016.Veni.181.078). ERJW was funded by an NWO-RUBICON grant (Netherlands Organization for Scientific Research, contract no. 019.181EN.01) and by ERC-ADV 323020 SPECIALS to W.H. van der Putten. The funding bodies had no role in the design of the study and collection, analysis, and interpretation of data and in writing the manuscript.
Publisher Copyright:
© 2021 The Author(s)
PY - 2021/9
Y1 - 2021/9
N2 - Air is a major conduit for the dispersal of organisms at the local and the global scale. Most research has focused on the dispersal of plants, vertebrates and human disease agents. However, the air represents a key dispersal medium also for bacteria, fungi and protists. Many of those represent potential pathogens of animals and plants and have until now gone largely unrecorded. Here we studied the turnover in composition of the entire aerobiome, the collective diversity of airborne microorganisms. For that we performed daily analyses of all prokaryotes and eukaryotes (including plants) using multi-marker high-throughput sequencing for a total of three weeks. We linked the resulting communities to local weather conditions, to assess determinants of aerobiome composition and distribution. We observed hundreds of microbial taxa, mostly belonging to spore-forming organisms including fungi, but also protists. Additionally, we detected many potential human- and plant-pathogens. Community composition fluctuated on a daily basis and was linked to concurrent weather conditions, particularly air pressure and temperature. Using network analyses, we identified taxonomically diverse groups of organisms with correlated temporal dynamics. In part, this was due to co-variation with environmental conditions, while we could also detect specific host-parasite interactions. This study provides the first full inventory of the aerobiome and identifies putative drivers of its dynamics in terms of taxon composition. This knowledge can help develop early warning systems against pathogens and improve our understanding of microbial dispersal.
AB - Air is a major conduit for the dispersal of organisms at the local and the global scale. Most research has focused on the dispersal of plants, vertebrates and human disease agents. However, the air represents a key dispersal medium also for bacteria, fungi and protists. Many of those represent potential pathogens of animals and plants and have until now gone largely unrecorded. Here we studied the turnover in composition of the entire aerobiome, the collective diversity of airborne microorganisms. For that we performed daily analyses of all prokaryotes and eukaryotes (including plants) using multi-marker high-throughput sequencing for a total of three weeks. We linked the resulting communities to local weather conditions, to assess determinants of aerobiome composition and distribution. We observed hundreds of microbial taxa, mostly belonging to spore-forming organisms including fungi, but also protists. Additionally, we detected many potential human- and plant-pathogens. Community composition fluctuated on a daily basis and was linked to concurrent weather conditions, particularly air pressure and temperature. Using network analyses, we identified taxonomically diverse groups of organisms with correlated temporal dynamics. In part, this was due to co-variation with environmental conditions, while we could also detect specific host-parasite interactions. This study provides the first full inventory of the aerobiome and identifies putative drivers of its dynamics in terms of taxon composition. This knowledge can help develop early warning systems against pathogens and improve our understanding of microbial dispersal.
KW - Aerobiome monitoring
KW - Co-dispersal
KW - Early-warning system
KW - Meteorology
KW - Microbial dispersal
KW - Microbiome
KW - Potential pathogens
UR - http://www.scopus.com/inward/record.url?scp=85103936557&partnerID=8YFLogxK
U2 - 10.1016/j.envint.2021.106551
DO - 10.1016/j.envint.2021.106551
M3 - Article
C2 - 33857708
SN - 0160-4120
VL - 154
SP - 1
EP - 8
JO - Environment international
JF - Environment international
M1 - 106551
ER -