Literature DB >> 31420347

The Inhalable Mycobiome of Sawmill Workers: Exposure Characterization and Diversity.

Anne Straumfors1, Oda A H Foss2, Janina Fuss3, Steen K Mollerup2, Håvard Kauserud3, Sunil Mundra3.   

Abstract

Exposure to fungal spores has been associated with respiratory symptoms and allergic alveolitis among sawmill workers, but the complexity of sawmill workers' fungal exposure has been poorly studied. We characterized the fungal diversity in air samples from sawmill workers' breathing zones and identified differences in the richness, diversity, and taxonomic composition between companies, departments, wood types, and seasons. Full-shift personal inhalable dust samples (n = 86) collected from 11 industrial sawmill, sorting mill, and planer mill companies processing spruce and/or pine were subjected to DNA metabarcoding using the fungal internal transcribed spacer (ITS) region 2. The workers were exposed to a higher total number of operational taxonomic units (OTUs) in summer than in winter and when processing spruce than when processing pine. Workers in the saw department had the richest fungal exposure, followed by workers in the planing department and sorting of dry timber department. Sawmills explained 11% of the variation in the fungal community composition of the exposure, followed by season (5%) and department (3%). The fungal compositions of the exposures also differed between seasons, sawmills, wood types, and departments at the taxonomic level, ranging from the phylum to the species level. The differences in exposure diversity suggest that the potential health effects of fungal inhalation may also be different; hence, a risk assessment based on the fungal diversity differences should be performed. This study may serve as a basis for establishing a fungal profile of signature species that are specific for sawmills and that can be measured quantitatively in future risk assessments of sawmill workers.IMPORTANCE To gain more knowledge about exposure-response relationships, it is important to improve exposure characterization by comprehensively identifying the temporal and spatial fungal composition and diversity of inhalable dust at workplaces. The variation in the diverse fungal communities to which individuals are exposed in different seasons and sawmills suggests that variations in exposure-related health effects between seasons and companies can be expected. More importantly, the distinct fungal profiles between departments across companies indicate that workers in different job groups are differently exposed and that health risks can be department specific. DNA metabarcoding provides insight into a broad spectrum of airborne fungi that may serve as a basis for obtaining important knowledge about the fungi to which workers are exposed.
Copyright © 2019 American Society for Microbiology.

Entities:  

Keywords:  DNA metabarcoding; ITS2; exposure characterization; fungal diversity; occupational

Mesh:

Substances:

Year:  2019        PMID: 31420347      PMCID: PMC6803317          DOI: 10.1128/AEM.01448-19

Source DB:  PubMed          Journal:  Appl Environ Microbiol        ISSN: 0099-2240            Impact factor:   4.792


  60 in total

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Authors:  C Duchaine; A Mériaux
Journal:  Can J Microbiol       Date:  2000-07       Impact factor: 2.419

3.  New primers to amplify the fungal ITS2 region--evaluation by 454-sequencing of artificial and natural communities.

Authors:  Katarina Ihrmark; Inga T M Bödeker; Karelyn Cruz-Martinez; Hanna Friberg; Ariana Kubartova; Jessica Schenck; Ylva Strid; Jan Stenlid; Mikael Brandström-Durling; Karina E Clemmensen; Björn D Lindahl
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Journal:  Appl Environ Microbiol       Date:  2011-04-01       Impact factor: 4.792

5.  Fungal aerosols at dairy farms using molecular and culture techniques.

Authors:  Hamza Mbareche; Marc Veillette; Guillaume J Bilodeau; Caroline Duchaine
Journal:  Sci Total Environ       Date:  2018-10-26       Impact factor: 7.963

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7.  Microbial diversity in bioaerosol samples causing ODTS compared to reference bioaerosol samples as measured using Illumina sequencing and MALDI-TOF.

Authors:  Anne Mette Madsen; Athanasios Zervas; Kira Tendal; Jeppe Lund Nielsen
Journal:  Environ Res       Date:  2015-04-13       Impact factor: 6.498

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Authors:  K A Eriksson; N L Stjernberg; J O Levin; U Hammarström; M C Ledin
Journal:  Scand J Work Environ Health       Date:  1996-06       Impact factor: 5.024

Review 9.  Fungal spores: a critical review of the toxicological and epidemiological evidence as a basis for occupational exposure limit setting.

Authors:  Wijnand Eduard
Journal:  Crit Rev Toxicol       Date:  2009       Impact factor: 5.635

10.  BayesHammer: Bayesian clustering for error correction in single-cell sequencing.

Authors:  Sergey I Nikolenko; Anton I Korobeynikov; Max A Alekseyev
Journal:  BMC Genomics       Date:  2013-01-21       Impact factor: 3.969

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  3 in total

1.  The airborne mycobiome and associations with mycotoxins and inflammatory markers in the Norwegian grain industry.

Authors:  Anne Straumfors; Sunil Mundra; Oda A H Foss; Steen K Mollerup; Håvard Kauserud
Journal:  Sci Rep       Date:  2021-04-30       Impact factor: 4.379

2.  Bioaerosol Exposure and in vitro Activation of Toll-like Receptors in a Norwegian Waste Sorting Plant.

Authors:  Elke Eriksen; Pål Graff; Ine Pedersen; Anne Straumfors; Anani K Afanou
Journal:  Saf Health Work       Date:  2021-09-29

3.  Trends in Occupational Infectious Diseases in South Korea and Classification of Industries According to the Risk of Biological Hazards Using K-Means Clustering.

Authors:  Saemi Shin; Won Suck Yoon; Sang-Hoon Byeon
Journal:  Int J Environ Res Public Health       Date:  2022-09-21       Impact factor: 4.614

  3 in total

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