Evidence map›Paper›PMID 40719475›Full record

ArticlemSystems2025

Long-term elevated precipitation promotes an acid metabolic preference in soil microbial communities in a Tibetan alpine grassland.

Xiaomin Fan, Xue Guo, Qi Qi, Haoran Gui, Yujiang Li, Yunfeng Yang, Jin-Sheng He, Linwei Wu

Abstract read
In one paragraph

Article in mSystems, 2025. 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

8 authors.

Xiaomin FanInstitute of Ecology, Key Laboratory for Earth Surface Processes of the Ministry of Education, College of Urban and Environmental Sciences, Peking University, Beijing, China.ORCID 0009-0005-8093-0981
Xue GuoState Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, China.ORCID 0000-0002-4309-6140
Qi QiDepartment of Microbiology and Environmental Systems Science, Division of Microbial Ecology, University of Vienna, Vienna, Austria.
Haoran GuiState Key Laboratory of Herbage Improvement and Grassland Agro-Ecosystems, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, China.
Yujiang LiState Key Laboratory of Herbage Improvement and Grassland Agro-Ecosystems, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, China.
Yunfeng YangInstitute of Environment and Ecology, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, China.ORCID 0000-0001-8274-6196
Jin-Sheng HeInstitute of Ecology, Key Laboratory for Earth Surface Processes of the Ministry of Education, College of Urban and Environmental Sciences, Peking University, Beijing, China.ORCID 0000-0001-5081-3569
Linwei WuInstitute of Ecology, Key Laboratory for Earth Surface Processes of the Ministry of Education, College of Urban and Environmental Sciences, Peking University, Beijing, China.ORCID 0000-0002-6649-5072

Funding

National Key Research and Development Program of China 2023YFF0805601,2022YFF0801902National Natural Science Foundation of China 32371724,3224100111
6 · The paper itself

Abstract

Alpine ecosystems store vast amounts of soil organic carbon but are highly sensitive to climate change. Despite this, the response of

Indexed as

GrasslandMicrobiotaRainSoil MicrobiologyBacteriaCarbonCarbon DioxideClimate ChangeMethaneSoilTibetCarbonCarbon DioxideMethaneSoilactive soil microbesalpine ecosystemscarbon metabolic preferencesclimate changegreenhouse gas emissionsmetatranscriptomics

Identifiers

PMID40719475
PMCPMC12363203

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.