Literature DB >> 33857708

The aerobiome uncovered: Multi-marker metabarcoding reveals potential drivers of turn-over in the full microbial community in the air.

G Arjen de Groot1, Stefan Geisen2, E R Jasper Wubs3, Liz Meulenbroek1, Ivo Laros1, L Basten Snoek4, Dennis R Lammertsma1, Lars H Hansen5, Pieter A Slim1.   

Abstract

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.
Copyright © 2021 The Author(s). Published by Elsevier Ltd.. All rights reserved.

Entities:  

Keywords:  Aerobiome monitoring; Co-dispersal; Early-warning system; Meteorology; Microbial dispersal; Microbiome; Potential pathogens

Year:  2021        PMID: 33857708     DOI: 10.1016/j.envint.2021.106551

Source DB:  PubMed          Journal:  Environ Int        ISSN: 0160-4120            Impact factor:   9.621


  3 in total

1.  Elevational Gradients Impose Dispersal Limitation on Streptomyces.

Authors:  Janani Hariharan; Daniel H Buckley
Journal:  Front Microbiol       Date:  2022-05-03       Impact factor: 6.064

2.  Contrasting effects of soil microbial interactions on growth-defence relationships between early- and mid-successional plant communities.

Authors:  Stefan Geisen; Robin Heinen; Elena Andreou; Teun van Lent; Freddy C Ten Hooven; Madhav P Thakur
Journal:  New Phytol       Date:  2021-08-19       Impact factor: 10.323

3.  Metabarcoding insights into the diet and trophic diversity of six declining farmland birds.

Authors:  Xabier Cabodevilla; François Mougeot; Gerard Bota; Santi Mañosa; Francesc Cuscó; Julen Martínez-García; Beatriz Arroyo; María J Madeira
Journal:  Sci Rep       Date:  2021-10-26       Impact factor: 4.379

  3 in total

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