Evidence map›Paper›PMID 41882740›Full record

ArticleMicrobiome2026

Environmental microbiota transfer from forest soil into urban homes: a proof-of-principle study.

Martin Täubel, Megan S Hill, Sarah Allard, Jack A Gilbert, Maria Valkonen, Anne M Karvonen, Asko Vepsäläinen, Juha Pekkanen, Pirkka V Kirjavainen

Abstract read
In one paragraph

Article in Microbiome, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

9 authors.

Martin Täubel *Lifestyles and Living Environments Unit, Department Public Health, Finnish Institute for Health and Welfare, Kuopio, Finland. martin.taubel@thl.fi.
Megan S Hill *Department of Pediatrics, University of California San Diego School of Medicine, La Jolla, San Diego, CA, USA.
Sarah AllardDepartment of Pediatrics, University of California San Diego School of Medicine, La Jolla, San Diego, CA, USA.
Jack A GilbertDepartment of Pediatrics, University of California San Diego School of Medicine, La Jolla, San Diego, CA, USA.
Maria ValkonenLifestyles and Living Environments Unit, Department Public Health, Finnish Institute for Health and Welfare, Kuopio, Finland.
Anne M KarvonenLifestyles and Living Environments Unit, Department Public Health, Finnish Institute for Health and Welfare, Kuopio, Finland.
Asko VepsäläinenLifestyles and Living Environments Unit, Department Public Health, Finnish Institute for Health and Welfare, Kuopio, Finland.
Juha PekkanenLifestyles and Living Environments Unit, Department Public Health, Finnish Institute for Health and Welfare, Kuopio, Finland.
Pirkka V KirjavainenLifestyles and Living Environments Unit, Department Public Health, Finnish Institute for Health and Welfare, Kuopio, Finland.

Funding

Research Council of Finland 296814, 296817Research Council of Finland 349427
6 · The paper itself

Abstract

backgroundUrban lifestyles are characterized by reduced encounters of environmental microbe stimuli that activate immunoregulatory pathways. This has been linked to an increased risk of inflammatory diseases, asthma, and allergies. A potential preventative solution is to modify indoor microbial exposures toward health-promoting interactions. Here, we test the feasibility of environmental microbiota transfers into urban homes and quantify the spatiotemporal impact on the built environment microbiota.

methodsHouse dust microbiota of six Finnish homes was monitored over a 20-week period by collecting settled dust from infant (IBZs) and adult breathing zones (ABZs) and floor dust from different home locations. Microbiota in dust samples was characterized using qPCR and amplicon sequencing of the bacterial and archaeal 16S rRNA gene and fungal ITS1 region. Microbiota transfers were performed with repeated seeding of forest soil onto rugs placed in the home entryway.

resultsWe observed significant, post-intervention increases in the relative abundances of forest soil bacteria in house dust. The magnitude of effect was influenced by building characteristics, spatiotemporal dynamics, and occupant dynamics and was greatest in a home with comparably little additional microbial influx-a home with no pets, low occupancy, and mechanical ventilation. The most pronounced effect was observed in settled dust close to the soil-seeded rugs at IBZ, within the first 2 weeks after each seeding event, though the soil-associated bacterial signal also extended spatially into the living areas of the homes. Increases in bacterial diversity and an asthma protective microbiota index, as well as decreases in the proportion of human-sourced bacteria, were also observed, but only in airborne dust close to the soil-seeded rug. Effects on fungal microbiota or on the bacterial and fungal loads in house dust were inconsistent.

conclusionsWe demonstrate that a simple soil-to-rug intervention can modify the bacterial microbiota in airborne particulate matter in residential homes. The introduction of specific environmental soil microbes was most pronounced closest to the source, which is relevant when targeting infant inhalation exposure. While this approach is promising, specifically in highly urbanized settings, dosage and composition of environmental microbiota additions to reach health benefits require further study. Video Abstract.

Indexed as

BacteriaMicrobiotaSoil MicrobiologyAir Pollution, IndoorArchaeaDustFinlandForestsFungiHousingHumansProof of Concept StudyRNA, Ribosomal, 16SDustRNA, Ribosomal, 16SAsthma preventionEnvironmental microbiota interventionsIndoor microbiomeMicrobiota transfer

Identifiers

PMID41882740
PMCPMC13019970

What OpenQuestion holds

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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.