Evidence map›Paper›PMID 41676438›Full record

ArticleiMetaOmics2025

Soil pH modulates microbial nitrogen allocation in soil via compositional and metabolic shifts across forests in Japan.

Yaping Liu, Yuta Ise, Hideto Takami, Rieko Urakawa, Ryunosuke Tateno, Atsushi Toyoda, Nobuhito Ohte, Weiyu Shi, Lin Jiang, Kazuo Isobe

Abstract read
In one paragraph

Article in iMetaOmics, 2025. 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
  2. Article
  3. 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

10 authors.

Yaping LiuInstitute of Ecology, College of Urban and Environmental Sciences Peking University Beijing China.ORCID https://orcid.org/0000-0002-5609-8890
Yuta IseGraduate School of Agricultural and Life Sciences The University of Tokyo Tokyo Japan.
Hideto TakamiFaculty of Agriculture Tokyo University of Agriculture and Technology Tokyo Japan.ORCID https://orcid.org/0000-0003-3433-7018
Rieko UrakawaAsia Center for Air Pollution Research Japan Environmental Sanitation Center Niigata Japan.
Ryunosuke TatenoField Science Education and Research Center Kyoto University Kyoto Japan.
Atsushi ToyodaComparative Genomics Laboratory National Institute of Genetics Shizuoka Japan.
Nobuhito OhteGraduate School of Informatics Kyoto University Kyoto Japan.
Weiyu ShiSchool of Geographical Sciences Southwest University Chongqing China.
Lin JiangSchool of Biological Sciences Georgia Institute of Technology Atlanta Georgia USA.ORCID https://orcid.org/0000-0002-7114-0794
Kazuo IsobeInstitute of Ecology, College of Urban and Environmental Sciences Peking University Beijing China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ammonium release (ammonification) and uptake (immobilization) by soil microbial communities are fundamental processes of forest nitrogen (N) cycling, representing major N fluxes that influence plant productivity and ecosystem N retention. However, because these processes involve diverse metabolic pathways distributed across many taxa, they are difficult to evaluate using gene- or taxon-specific approaches, and it remains unclear how microbial community structure governs the patterns of these processes. In this study, we examined how the abundance, taxonomic composition, richness, and metabolic capabilities of microbial communities regulate ammonium-related N cycling processes across a wide range of forests in Japan, using rRNA gene sequencing and quantification, shotgun metagenomics, and

Indexed as

ammonificationforest soilmetagenomeN releaseN retention

Identifiers

PMID41676438
PMCPMC12805986

What OpenQuestion holds

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LicenceCC BY
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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.