Bioaerosols in the atmosphere at two sites in Northern Europe in spring 2021: Outline of an experimental campaign

Autor: Mikhail Sofiev, Svetlana Sofieva, Julia Palamarchuk, Ingrida Šaulienė, Evgeny Kadantsev, Nina Atanasova, Yalda Fatahi, Rostislav Kouznetsov, Joel Kuula, Auste Noreikaite, Martina Peltonen, Timo Pihlajamäki, Annika Saarto, Julija Svirskaite, Linnea Toiviainen, Svyatoslav Tyuryakov, Laura Šukienė, Eija Asmi, Dennis Bamford, Antti-Pekka Hyvärinen, Ari Karppinen
Přispěvatelé: Molecular and Integrative Biosciences Research Programme, Aerovirology Research Group, Department of Microbiology, Molecular Principles of Viruses, Biosciences, Institute of Biotechnology, General Microbiology, Structure of the Viral Universe, Ilmatieteen laitos, Finnish Meteorological Institute
Jazyk: angličtina
Rok vydání: 2022
Předmět:
PANDA PREDICTION SYSTEM
climate changes
bioaerosols
pollen
fungal spores
automatic pollen monitoring
metagenomics
eDNA
3rd generation DNA sequencing
ilman saastuminen
air pollution
MULTIMODEL ENSEMBLE SIMULATIONS
AIR-QUALITY
ALLERGENIC POLLEN
Northern Europe
Biochemistry
DISPERSION
Fungal spores
PART 1
atmosphere (earth)
sampling (inspection)
Helsinki
EASTERN CHINA
näytteenotto
1172 Environmental sciences
General Environmental Science
aerosolit
ilmakehä
Aerosols
Air Pollutants
DNA-analyysi
Atmosphere
Automatic pollen monitoring
DNA
ilmastonmuutokset
3142 Public health care science
environmental and occupational health
AIRBORNE BACTERIA
Europe
MODEL
ilman epäpuhtaudet
Pohjois-Eurooppa
Pollen
DNA analysis
Seasons
Bioaerosols
Metagenomics
ENVIRONMENTAL DNA
air impurities and contaminants
Environmental Monitoring
Zdroj: Environmental research, San Diego : Elsevier Science, 2022, vol. 214, part 2, art. no. 113798, p. [1-20]
ISSN: 0013-9351
1096-0953
Popis: A coordinated observational and modelling campaign targeting biogenic aerosols in the air was performed during spring 2021 at two locations in Northern Europe: Helsinki (Finland) and Siauliai (Lithuania), approximately 500 km from each other in north-south direction. The campaign started on March 1, 2021 in Siauliai (12 March in Helsinki) and continued till mid-May in Siauliai (end of May in Helsinki), thus recording the transition of the atmospheric biogenic aerosols profile from winter to summer. The observations included a variety of samplers working on different principles. The core of the program was based on 2- and 2.4--hourly sampling in Helsinki and Siauliai, respectively, with sticky slides (Hirst 24-h trap in Helsinki, Rapid-E slides in Siauliai). The slides were subsequently processed extracting the DNA from the collected aerosols, which was further sequenced using the 3-rd generation sequencing technology. The core sampling was accompanied with daily and daytime sampling using standard filter collectors. The hourly aerosol concentrations at the Helsinki monitoring site were obtained with a Poleno flow cytometer, which could recognize some of the aerosol types. The sampling campaign was supported by numerical modelling. For every sample, SILAM model was applied to calculate its footprint and to predict anthropogenic and natural aerosol concentrations, at both observation sites. The first results confirmed the feasibility of the DNA collection by the applied techniques: all but one delivered sufficient amount of DNA for the following analysis, in over 40% of the cases sufficient for direct DNA sequencing without the PCR step. A substantial variability of the DNA yield has been noticed, generally not following the diurnal variations of the total-aerosol concentrations, which themselves showed variability not related to daytime. An expected upward trend of the biological material amount towards summer was observed but the day-to-day variability was large. The campaign DNA analysis produced the first high-resolution dataset of bioaerosol composition in the North-European spring. It also highlighted the deficiency of generic DNA databases in applications to atmospheric biota: about 40% of samples were not identified with standard bioinformatic methods.
Databáze: OpenAIRE
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