Evidence map›Paper›PMID 42294689›Full record

ArticleApplied and environmental microbiology2026

Nitrogen deposition homogenizes moss-microbiomes and associated nitrogen fixation but with host-specific responses.

Amanda Maria Rydgren Thomsen, Danillo Oliveira Alvarenga, Kathrin Rousk

Abstract read
In one paragraph

Article in Applied and environmental microbiology, 2026. 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
–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

0 citing papers in PubMed.

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

3 authors.

Amanda Maria Rydgren ThomsenDepartment of Biology, Center for Volatile Interactions, University of Copenhagen, Copenhagen, Denmark.
Danillo Oliveira AlvarengaDepartment of Biology, Center for Volatile Interactions, University of Copenhagen, Copenhagen, Denmark.
Kathrin RouskDepartment of Biology, Center for Volatile Interactions, University of Copenhagen, Copenhagen, Denmark.ORCID 0000-0003-3140-9864

Funding

Danmarks Grundforskningsfond 168European Research Council 947719
6 · The paper itself

Abstract

Moss microbiomes contribute significantly to terrestrial nitrogen (N) cycling through N fixation, especially in nutrient-poor environments. Yet, the relative roles of environment (abiotic factors) and host species (biotic factors) in shaping these microbiomes remain understudied even though this could reveal how host-specific moss-associated microbiomes are. To assess whether moss-associated microbiomes are shaped predominantly by the moss host or by the environment, we compared three common moss species ( IMPORTANCE: Mosses host diverse microbiomes that contribute to terrestrial N cycling through processes such as nitrogen (N) fixation. Thus, these microbial communities play important roles in nutrient-poor environments where mosses often dominate. Here, N fixation is a key source of N input, making it important to understand what drives microbiome composition and associated N fixation activity. We ascertained the roles of the environment and moss-host species in shaping the moss-microbiomes and associated N fixation rates in two forest types with varying N deposition rates. We showed that forest type shapes moss-associated microbiomes and N fixation activity, while aligning N availability also aligned N fixation activity and changed the moss microbiomes with implications for the ecosystem functions they provide.

Indexed as

BryophytaBryopsidaMicrobiotaNitrogenNitrogen FixationBacteriaEcosystemForestsRNA, Ribosomal, 16SNitrogenRNA, Ribosomal, 16Sacetylene reductioncyanobacteriaforest ecosystemsmicrobiomesmossesnitrogen depositionnitrogen fixation

Identifiers

PMID42294689
PMCPMC13390347

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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.