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Metagenomics reveals novel microbial signatures of farm exposures in house dust. | LitMetric

Metagenomics reveals novel microbial signatures of farm exposures in house dust.

medRxiv

Genomics and the Environment in Respiratory and Allergic Health Group, Epidemiology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Durham, NC, USA.

Published: April 2023

AI Article Synopsis

  • Indoor dust microbial communities, which affect human health, are influenced by various environmental factors, especially those related to farming exposure.
  • This study compares advanced whole genome shotgun sequencing (WGS) to traditional 16S rRNA sequencing for better understanding the relationships between these exposures and indoor dust microbiomes in homes of 781 farmers and their spouses.
  • Results indicate that WGS reveals unique microbial associations and greater diversity linked to farming, suggesting it is a valuable tool for environmental health research.

Article Abstract

Indoor home dust microbial communities, important contributors to human health outcomes, are shaped by environmental factors, including farm-related exposures. Detection and characterization of microbiota are influenced by sequencing methodology; however, it is unknown if advanced metagenomic whole genome shotgun sequencing (WGS) can detect novel associations between environmental exposures and the indoor built-environment dust microbiome, compared to conventional 16S rRNA amplicon sequencing (16S). This study aimed to better depict indoor dust microbial communities using WGS to investigate novel associations with environmental risk factors from the homes of 781 farmers and farm spouses enrolled in the Agricultural Lung Health Study. We examined various farm-related exposures, including living on a farm, crop versus animal production, and type of animal production, as well as non-farm exposures, including home cleanliness and indoor pets. We assessed the association of the exposures on within-sample alpha diversity and between-sample beta diversity, and the differential abundance of specific microbes by exposure. Results were compared to previous findings using 16S. We found most farm exposures were significantly positively associated with both alpha and beta diversity. Many microbes exhibited differential abundance related to farm exposures, mainly in the phyla , and . The identification of novel differential taxa associated with farming at the genera level, including , and , was a benefit of WGS compared to 16S. Our findings indicate that characterization of dust microbiota, an important component of the indoor environment relevant to human health, is heavily influenced by sequencing techniques. WGS is a powerful tool to survey the microbial community that provides novel insights on the impact of environmental exposures on indoor dust microbiota, and should be an important consideration in designing future studies in environmental health.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10120797PMC
http://dx.doi.org/10.1101/2023.04.07.23288301DOI Listing

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