Literature DB >> 34753520

Spatiotemporal variation of the indoor mycobiome in daycare centers.

Eva Lena F Estensmo1, Luis Morgado2,3, Sundy Maurice2, Pedro M Martin-Sanchez2, Ingeborg B Engh4, Johan Mattsson4, Håvard Kauserud2, Inger Skrede2.   

Abstract

BACKGROUND: Children spend considerable time in daycare centers in parts of the world and are exposed to the indoor micro- and mycobiomes of these facilities. The level of exposure to microorganisms varies within and between buildings, depending on occupancy, climate, and season. In order to evaluate indoor air quality, and the effect of usage and seasonality, we investigated the spatiotemporal variation in the indoor mycobiomes of two daycare centers. We collected dust samples from different rooms throughout a year and analyzed their mycobiomes using DNA metabarcoding.
RESULTS: The fungal community composition in rooms with limited occupancy (auxiliary rooms) was similar to the outdoor samples, and clearly different from the rooms with higher occupancy (main rooms). The main rooms had higher abundance of Ascomycota, while the auxiliary rooms contained comparably more Basidiomycota. We observed a strong seasonal pattern in the mycobiome composition, mainly structured by the outdoor climate. Most markedly, basidiomycetes of the orders Agaricales and Polyporales, mainly reflecting typical outdoor fungi, were more abundant during summer and fall. In contrast, ascomycetes of the orders Saccharomycetales and Capnodiales were dominant during winter and spring.
CONCLUSIONS: Our findings provide clear evidences that the indoor mycobiomes in daycare centers are structured by occupancy as well as outdoor seasonality. We conclude that the temporal variability should be accounted for in indoor mycobiome studies and in the evaluation of indoor air quality of buildings. Video abstract.
© 2021. The Author(s).

Entities:  

Keywords:  Built environment; DNA metabarcoding; Dust mycobiome; Fungal community; Fungi; Microbial ecology; Seasonal variation

Mesh:

Substances:

Year:  2021        PMID: 34753520      PMCID: PMC8576891          DOI: 10.1186/s40168-021-01167-x

Source DB:  PubMed          Journal:  Microbiome        ISSN: 2049-2618            Impact factor:   14.650


  34 in total

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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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3.  Continental-scale distributions of dust-associated bacteria and fungi.

Authors:  Albert Barberán; Joshua Ladau; Jonathan W Leff; Katherine S Pollard; Holly L Menninger; Robert R Dunn; Noah Fierer
Journal:  Proc Natl Acad Sci U S A       Date:  2015-04-20       Impact factor: 11.205

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5.  Indoor airborne fungal spores, house dampness and associations with environmental factors and respiratory health in children.

Authors:  M H Garrett; P R Rayment; M A Hooper; M J Abramson; B M Hooper
Journal:  Clin Exp Allergy       Date:  1998-04       Impact factor: 5.018

6.  DADA2: High-resolution sample inference from Illumina amplicon data.

Authors:  Benjamin J Callahan; Paul J McMurdie; Michael J Rosen; Andrew W Han; Amy Jo A Johnson; Susan P Holmes
Journal:  Nat Methods       Date:  2016-05-23       Impact factor: 28.547

7.  Analysis of composition of microbiomes: a novel method for studying microbial composition.

Authors:  Siddhartha Mandal; Will Van Treuren; Richard A White; Merete Eggesbø; Rob Knight; Shyamal D Peddada
Journal:  Microb Ecol Health Dis       Date:  2015-05-29

8.  Sources of airborne microorganisms in the built environment.

Authors:  Aaron J Prussin; Linsey C Marr
Journal:  Microbiome       Date:  2015-12-22       Impact factor: 14.650

9.  Algorithm for post-clustering curation of DNA amplicon data yields reliable biodiversity estimates.

Authors:  Tobias Guldberg Frøslev; Rasmus Kjøller; Hans Henrik Bruun; Rasmus Ejrnæs; Ane Kirstine Brunbjerg; Carlotta Pietroni; Anders Johannes Hansen
Journal:  Nat Commun       Date:  2017-10-30       Impact factor: 14.919

10.  Longitudinal analysis of microbial interaction between humans and the indoor environment.

Authors:  Simon Lax; Daniel P Smith; Jarrad Hampton-Marcell; Sarah M Owens; Kim M Handley; Nicole M Scott; Sean M Gibbons; Peter Larsen; Benjamin D Shogan; Sophie Weiss; Jessica L Metcalf; Luke K Ursell; Yoshiki Vázquez-Baeza; Will Van Treuren; Nur A Hasan; Molly K Gibson; Rita Colwell; Gautam Dantas; Rob Knight; Jack A Gilbert
Journal:  Science       Date:  2014-08-29       Impact factor: 47.728

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  2 in total

1.  The bacterial community of childcare centers: potential implications for microbial dispersal and child exposure.

Authors:  D E Beasley; A A Madden; M Monsur; J Hu; R R Dunn
Journal:  Environ Microbiome       Date:  2022-03-04

2.  The Indoor Mycobiomes of Daycare Centers Are Affected by Occupancy and Climate.

Authors:  Eva Lena F Estensmo; Synnøve Smebye Botnen; Sundy Maurice; Pedro M Martin-Sanchez; Luis Morgado; Ingeborg Bjorvand Engh; Klaus Høiland; Inger Skrede; Håvard Kauserud
Journal:  Appl Environ Microbiol       Date:  2022-02-02       Impact factor: 5.005

  2 in total

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