TY - JOUR
T1 - Bioaerosols in the atmosphere at two sites in Northern Europe in spring 2021: Outline of an experimental campaign
AU - Sofiev, Mikhail
AU - Sofieva, Svetlana
AU - Palamarchuk, Julia
AU - Šaulienė, Ingrida
AU - Kadantsev, Evgeny
AU - Atanasova, Nina
AU - Fatahi, Yalda
AU - Kouznetsov, Rostislav
AU - Kuula, Joel
AU - Noreikaite, Auste
AU - Peltonen, Martina
AU - Pihlajamäki, Timo Tapani
AU - Saarto, Annika
AU - Salokas, Julija
AU - Toiviainen, Linnea
AU - Tyuryakov, Svyatoslav
AU - Sukiene, Laura
AU - Asmi, Eija
AU - Bamford, Dennis H.
AU - Hyvärinen, Antti-Pekka
AU - Karppinen, Ari
PY - 2022/11
Y1 - 2022/11
N2 - Abstract: 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.
AB - Abstract: 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.
KW - 1172 Environmental sciences
KW - 3142 Public health care science, environmental and occupational health
KW - Bioaerosols
KW - Pollen
KW - Fungal spores
KW - Automatic pollen monitoring
KW - Metagenomics
KW - eDNA
KW - 3rd generation DNA sequencing
KW - MULTIMODEL ENSEMBLE SIMULATIONS
KW - PANDA PREDICTION SYSTEM
KW - ENVIRONMENTAL DNA
KW - AIR-QUALITY
KW - ALLERGENIC POLLEN
KW - AIRBORNE BACTERIA
KW - EASTERN CHINA
KW - PART 1
KW - DISPERSION
KW - MODEL
U2 - 10.1016/j.envres.2022.113798
DO - 10.1016/j.envres.2022.113798
M3 - Article
SN - 0013-9351
VL - 214
JO - Environmental Research
JF - Environmental Research
IS - Part 2
M1 - 113798
ER -