Evidence map›Paper›PMID 39230286›Full record

ArticleApplied and environmental microbiology2024

Using patterns of shared taxa to infer bacterial dispersal in human living environment in urban and rural areas.

M Grönroos, A Jumpponen, M I Roslund, N Nurminen, S Oikarinen, A Parajuli, O H Laitinen, O Cinek, L Kramna, J Rajaniemi and 3 more

Abstract read
In one paragraph

Article in Applied and environmental microbiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Article
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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

13 authors.

M GrönroosFaculty of Biological and Environmental Sciences, University of Helsinki, Lahti, Finland.ORCID 0000-0002-8210-8837
A JumpponenDivision of Biology and Ecological Genomics Institute, Kansas State University, Manhattan, Kansas, USA.
M I RoslundNatural Resources Institute Finland, Helsinki, Finland.
N NurminenFaculty of Medicine and Health Technology, Tampere University, Tampere, Finland.
S OikarinenFaculty of Medicine and Health Technology, Tampere University, Tampere, Finland.
A ParajuliFaculty of Biological and Environmental Sciences, University of Helsinki, Lahti, Finland.
O H LaitinenFaculty of Medicine and Health Technology, Tampere University, Tampere, Finland.
O CinekDepartment of Medical Microbiology, 2nd Faculty of Medicine, Charles University, Prague, Czech Republic.
L KramnaDepartment of Medical Microbiology, 2nd Faculty of Medicine, Charles University, Prague, Czech Republic.
J RajaniemiFaculty of Built Environment, Tampere University, Tampere, Finland.
H HyötyFaculty of Medicine and Health Technology, Tampere University, Tampere, Finland.
R PuhakkaFaculty of Biological and Environmental Sciences, University of Helsinki, Lahti, Finland.
A SinkkonenNatural Resources Institute Finland, Helsinki, Finland.ORCID 0000-0002-6821-553X

Funding

AKA | Strategic Research Council (RSF) 346136AKA | Strategic Research Council (RSF) 346138Business Finland 40333/14,6766/31/2017EC | Horizon 2020 Framework Programme (H2020) 874864European Union - Next generation LX22NPO5103Research Council of Finland (AKA) 328852SKR | Päijät-Hämeen Rahasto (Päijät-Häme Regional Fund)
6 · The paper itself

Abstract

Contact with environmental microbial communities primes the human immune system. Factors determining the distribution of microorganisms, such as dispersal, are thus important for human health. Here, we used the relative number of bacteria shared between environmental and human samples as a measure of bacterial dispersal and studied these associations with living environment and lifestyles. We analyzed amplicon sequence variants (ASVs) of the V4 region of 16S rDNA gene from 347 samples of doormat dust as well as samples of saliva, skin swabs, and feces from 53 elderly people in urban and rural areas in Finland at three timepoints. We first enumerated the ASVs shared between doormat and one of the human sample types (i.e., saliva, skin swab, or feces) of each individual subject and calculated the shared ASVs as a proportion of all ASVs in the given sample type of that individual. We observed that the patterns for the proportions of shared ASVs differed among seasons and human sample type. In skin samples, there was a negative association between the proportion of shared ASVs and the coverage of built environment (a proxy for degree of urbanization), whereas in saliva data, this association was positive. We discuss these findings in the context of differing species pools in urban and rural environments. IMPORTANCE: Understanding how environmental microorganisms reach and interact with humans is a key question when aiming to increase human contacts with natural microbiota. Few methods are suitable for studying microbial dispersal at relatively large spatial scales. Thus, we tested an indirect method and studied patterns of bacterial taxa that are shared between humans and their living environment.

Indexed as

BacteriaFecesMicrobiotaRNA, Ribosomal, 16SSalivaAgedAged, 80 and overDNA, BacterialDustEnvironmental MicrobiologyFemaleFinlandHumansMaleRural PopulationSkinDNA, BacterialDustRNA, Ribosomal, 16Sbacteriabiodiversity hypothesisdispersalhygiene hypothesisland cover

Identifiers

PMID39230286
PMCPMC11498140

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LicenceCC BY
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Registered trials

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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.