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Spatio‑temporal diversity of biological aerosols over Northeast India: a metagenomic approach

Pathak, Binita and Ankita, Khataniar and Das, Barlin and Upadhyaya, Sristisri and Medhi, Ankita and Bhuyan, Pradip Kumar and Borah, Debajit and Buragohain, Alak (2022) Spatio‑temporal diversity of biological aerosols over Northeast India: a metagenomic approach. Environmental Science and Pollution Research, 29. pp. 1-20.

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Abstract

Northeast India is considered as one of the major biodiversity hotspots in the world, but the region is underexplored for their microbial biodiversity. Extensive characterization of biological aerosol (bioaerosol) samples collected from various locations of Northeast India was carried out for all four seasons in a year. These were characterized in terms of their constituents, such as pollens, fungal spores, animal debris, and non-biological components, and particulate matters, such as inhalable, thoracic, and alveolic, and finally, the bacterial diversity was determined by DNA-based metagenomic approach. The non-biological (non-viable) component of aerosols is found to vary from 30 to 89% in the pre-monsoon season, which coexists with pollens (4–20%), animal debris (1–24%), and fungal spores (1–17%). The highest number of culturable microbial populations in terms of CFU count was observed in the pre-monsoon samples (i.e., 125.24–632.45 CFU/m3), and the lowest CFU was observed in monsoon season (i.e., 20.83–319.0 CFU/m3). The metagenomic approach with the samples collected during pre-monsoon season showed a total of bacterial 184 OTUs (operational taxonomic units) with 28,028 abundance count comprising 7 major phylum, 6 classes, 10 orders, 15 families, 13 genus, and 8 species of bacteria. The species-level distribution clearly shows the presence of Gammaproteobacteria (52%) most abundantly, followed by Bacilli (21%), Alphaproteobacteria (14%), Betaproteobacteria (5%), Flavobacteria (5%), and Sphingobacteria (3%). It is the first report from the entire Northeast India to uncover spatio-temporal distribution of biological components and bacterial diversity in aerosol samples through a DNA-based metagenomic approach.

Item Type: Article
Uncontrolled Keywords: Bacterial diversity · Metagenome analysis · Air quality · Human health · Bioaerosol characterization Responsible Editor: Diane Purchase
Subjects: Environmental Science
Divisions: Department of Environmental Science
Depositing User: Unnamed user with email publications@rgu.ac
Date Deposited: 06 Dec 2024 08:42
Last Modified: 06 Dec 2024 08:42
URI: http://pure.rgu.ac/id/eprint/9

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