An Optimized Active Sampling Procedure for Aerobiological DNA Studies.

DNA extraction active sampling air-filtration bioaerosols commercial off-the shelf (COTS)

Journal

Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366

Informations de publication

Date de publication:
05 Mar 2023
Historique:
received: 14 02 2023
revised: 02 03 2023
accepted: 03 03 2023
entrez: 11 3 2023
pubmed: 12 3 2023
medline: 15 3 2023
Statut: epublish

Résumé

The Earth's atmosphere plays a critical role in transporting and dispersing biological aerosols. Nevertheless, the amount of microbial biomass in suspension in the air is so low that it is extremely difficult to monitor the changes over time in these communities. Real-time genomic studies can provide a sensitive and rapid method for monitoring changes in the composition of bioaerosols. However, the low abundance of deoxyribose nucleic acid (DNA) and proteins in the atmosphere, which is of the order of the contamination produced by operators and instruments, poses a challenge for the sampling process and the analyte extraction. In this study, we designed an optimized, portable, closed bioaerosol sampler based on membrane filters using commercial off-the-shelf components, demonstrating its end-to-end operation. This sampler can operate autonomously outdoors for a prolonged time, capturing ambient bioaerosols and avoiding user contamination. We first performed a comparative analysis in a controlled environment to select the optimal active membrane filter based on its ability to capture and extract DNA. We have designed a bioaerosol chamber for this purpose and tested three commercial DNA extraction kits. The bioaerosol sampler was tested outdoors in a representative environment and run for 24 h at 150 L/min. Our methodology suggests that a 0.22-µm polyether sulfone (PES) membrane filter can recover up to 4 ng of DNA in this period, sufficient for genomic applications. This system, along with the robust extraction protocol, can be automated for continuous environmental monitoring to gain insights into the time evolution of microbial communities within the air.

Identifiants

pubmed: 36905039
pii: s23052836
doi: 10.3390/s23052836
pmc: PMC10006969
pii:
doi:

Substances chimiques

DNA 9007-49-2
Aerosols 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : Natural Environment Research Council
ID : RG14832-41
Organisme : Allan and Norma Young Grant
ID : CF95052-11
Organisme : Internal funding to Pump-prime Interdisciplinary Research and Impact Activities
ID : SF10237-56
Organisme : MCIN/AEI/ 10.13039/501100011033
ID : PID2019-104205GB-C21

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Auteurs

Jyothi Basapathi Raghavendra (J)

Department of Planetary Sciences, School of Geosciences, University of Aberdeen, Aberdeen AB24 3UE, UK.

Thasshwin Mathanlal (T)

Department of Planetary Sciences, School of Geosciences, University of Aberdeen, Aberdeen AB24 3UE, UK.

Maria-Paz Zorzano (MP)

Centro de Astrobiología (CSIC-INTA), Torrejon de Ardoz, 28850 Madrid, Spain.

Javier Martin-Torres (J)

Department of Planetary Sciences, School of Geosciences, University of Aberdeen, Aberdeen AB24 3UE, UK.
Instituto Andaluz de Ciencias de la Tierra (CSIC-UGR), 18100 Granada, Spain.

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Classifications MeSH