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Perspectives on Sampling and New Generation Sequencing Methods for Low-Biomass Bioaerosols in Atmospheric Environments.

Authors :
Hou J
Fujiyoshi S
Perera IU
Nishiuchi Y
Nakajima M
Ogura D
Yarimizu K
Maruyama F
Source :
Journal of the Indian Institute of Science [J Indian Inst Sci] 2023 May 12, pp. 1-11. Date of Electronic Publication: 2023 May 12.
Publication Year :
2023
Publisher :
Ahead of Print

Abstract

Bioaerosols play essential roles in the atmospheric environment and can affect human health. With a few exceptions (e.g., farm or rainforest environments), bioaerosol samples from wide-ranging environments typically have a low biomass, including bioaerosols from indoor environments (e.g., residential homes, offices, or hospitals), outdoor environments (e.g., urban or rural air). Some specialized environments (e.g., clean rooms, the Earth's upper atmosphere, or the international space station) have an ultra-low-biomass. This review discusses the primary sources of bioaerosols and influencing factors, the recent advances in air sampling techniques and the new generation sequencing (NGS) methods used for the characterization of low-biomass bioaerosol communities, and challenges in terms of the bias introduced by different air samplers when samples are subjected to NGS analysis with a focus on ultra-low biomass. High-volume filter-based or liquid-based air samplers compatible with NGS analysis are required to improve the bioaerosol detection limits for microorganisms. A thorough understanding of the performance and outcomes of bioaerosol sampling using NGS methods and a robust protocol for aerosol sample treatment for NGS analysis are needed. Advances in NGS techniques and bioinformatic tools will contribute toward the precise high-throughput identification of the taxonomic profiles of bioaerosol communities and the determination of their functional and ecological attributes in the atmospheric environment. In particular, long-read amplicon sequencing, viability PCR, and meta-transcriptomics are promising techniques for discriminating and detecting pathogenic microorganisms that may be active and infectious in bioaerosols and, therefore, pose a threat to human health.<br />Supplementary Information: The online version contains supplementary material available at 10.1007/s41745-023-00380-x.<br />Competing Interests: Conflict of interestThe authors report no conflicts of interest.<br /> (© Indian Institute of Science 2023, Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.)

Details

Language :
English
ISSN :
0970-4140
Database :
MEDLINE
Journal :
Journal of the Indian Institute of Science
Publication Type :
Academic Journal
Accession number :
37362849
Full Text :
https://doi.org/10.1007/s41745-023-00380-x