Evidence map›Paper›PMID 38025723›Full record

ArticlePeerJ2023

Microbes within the building envelope-a case study on the patterns of colonization and potential sampling bias.

Lucy R Davies, Aitor Barbero-López, Veli-Matti Lähteenmäki, Antti Salonen, Filip Fedorik, Antti Haapala, Phillip C Watts

Open access · goldAbstract read
In one paragraph

Article in PeerJ, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.3field-weighted citation impact, top 41% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 3 institutions in 1 country.

Lucy R DaviesDepartment of Biological and Environmental Science, University of Jyväskylä, Jyväskylä, Finland.
Aitor Barbero-LópezDepartment of Chemistry, University of Eastern Finland, Joensuu, Finland.
Veli-Matti LähteenmäkiDepartment of Chemistry, University of Eastern Finland, Joensuu, Finland.
Antti SalonenCivil Engineering, Faculty of Technology, University of Oulu, Oulu, Finland.
Filip FedorikCivil Engineering, Faculty of Technology, University of Oulu, Oulu, Finland.
Antti HaapalaDepartment of Chemistry, University of Eastern Finland, Joensuu, Finland.
Phillip C WattsDepartment of Biological and Environmental Science, University of Jyväskylä, Jyväskylä, Finland.
University of Eastern Finland · FIUniversity of Jyväskylä · FIUniversity of Oulu · FI

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Humans are exposed to diverse communities of microbes every day. With more time spent indoors by humans, investigations into the communities of microbes inhabiting occupied spaces have become important to deduce the impacts of these microbes on human health and building health. Studies so far have given considerable insight into the communities of the indoor microbiota humans interact with, but mainly focus on sampling surfaces or indoor dust from filters. Beneath the surfaces though, building envelopes have the potential to contain environments that would support the growth of microbial communities. But due to design choices and distance from ground moisture, for example, the temperature and humidity across a building will vary and cause environmental gradients. These microenvironments could then influence the composition of the microbial communities within the walls. Here we present a case study designed to quantify any patterns in the compositions of fungal and bacterial communities existing in a building envelope and determine some of the key variables, such as cardinal direction, distance from floor or distance from wall joinings, that may influence any microbial community composition variation. By drilling small holes across walls of a house, we extracted microbes onto air filters and conducted amplicon sequencing. We found sampling height (distance from the floor) and cardinal direction the wall was facing caused differences in the diversity of the microbial communities, showing that patterns in the microbial composition will be dependent on sampling location within the building. By sampling beneath the surfaces, our approach provides a more complete picture of the microbial condition of a building environment, with the significant variation in community composition demonstrating a potential sampling bias if multiple sampling locations across a building are not considered. By identifying features of the built environment that promote/retard microbial growth, improvements to building designs can be made to achieve overall healthier occupied spaces.

Indexed as

MicrobiotaBacteriaDustHumansHumiditySelection BiasDustBuilding mouldBuilt environmentIndoor microbiotaOccupant health

Identifiers

PMID38025723
PMCPMC10658902
OpenAlexW4388766746

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.