Evidence map›Paper›PMID 42141277›Full record

SynthesisNature food2026

Agricultural soil microbiomes are structurally and functionally more resistant to warming than adjacent natural ecosystems.

Shuo Jiao, Haibo Pan, Pablo García-Palacios, Hairong Tu, Yiran Zhang, Yu Liu, Hang Gao, Beibei Chen, Ziheng Peng, Shi Chen and 17 more

Abstract readMeta-Analysis
PubMed Publisher
In one paragraph

Synthesis in Nature food, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
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  5. 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

27 authors.

Shuo Jiao *State Key Laboratory for Crop Stress Resistance and High-Efficiency Production, Shaanxi Key Laboratory of Agricultural and Environmental Microbiology, College of Life Sciences, Northwest A&F University, Yangling, China. shuojiao@nwafu.edu.cn.ORCID http://orcid.org/0000-0001-6391-7308
Haibo Pan *State Key Laboratory for Crop Stress Resistance and High-Efficiency Production, Shaanxi Key Laboratory of Agricultural and Environmental Microbiology, College of Life Sciences, Northwest A&F University, Yangling, China.
Pablo García-PalaciosInstituto de Ciencias Agrarias, Consejo Superior de Investigaciones Científicas, Madrid, Spain.ORCID http://orcid.org/0000-0002-6367-4761
Hairong TuState Key Laboratory for Crop Stress Resistance and High-Efficiency Production, Shaanxi Key Laboratory of Agricultural and Environmental Microbiology, College of Life Sciences, Northwest A&F University, Yangling, China.
Yiran ZhangCollege of Natural Resources and Environment, Northwest A&F University, Yangling, China.
Yu LiuState Key Laboratory for Crop Stress Resistance and High-Efficiency Production, Shaanxi Key Laboratory of Agricultural and Environmental Microbiology, College of Life Sciences, Northwest A&F University, Yangling, China.
Hang GaoState Key Laboratory for Crop Stress Resistance and High-Efficiency Production, Shaanxi Key Laboratory of Agricultural and Environmental Microbiology, College of Life Sciences, Northwest A&F University, Yangling, China.
Beibei ChenState Key Laboratory for Crop Stress Resistance and High-Efficiency Production, Shaanxi Key Laboratory of Agricultural and Environmental Microbiology, College of Life Sciences, Northwest A&F University, Yangling, China.
Ziheng PengState Key Laboratory for Crop Stress Resistance and High-Efficiency Production, Shaanxi Key Laboratory of Agricultural and Environmental Microbiology, College of Life Sciences, Northwest A&F University, Yangling, China.ORCID http://orcid.org/0000-0001-8751-6103
Shi ChenState Key Laboratory for Crop Stress Resistance and High-Efficiency Production, Shaanxi Key Laboratory of Agricultural and Environmental Microbiology, College of Life Sciences, Northwest A&F University, Yangling, China.
Jiejun QiState Key Laboratory for Crop Stress Resistance and High-Efficiency Production, Shaanxi Key Laboratory of Agricultural and Environmental Microbiology, College of Life Sciences, Northwest A&F University, Yangling, China.
Chunling LiangState Key Laboratory for Crop Stress Resistance and High-Efficiency Production, Shaanxi Key Laboratory of Agricultural and Environmental Microbiology, College of Life Sciences, Northwest A&F University, Yangling, China.
Xiaomeng LiState Key Laboratory for Crop Stress Resistance and High-Efficiency Production, Shaanxi Key Laboratory of Agricultural and Environmental Microbiology, College of Life Sciences, Northwest A&F University, Yangling, China.
Yang WangState Key Laboratory for Crop Stress Resistance and High-Efficiency Production, Shaanxi Key Laboratory of Agricultural and Environmental Microbiology, College of Life Sciences, Northwest A&F University, Yangling, China.
Chujie JinState Key Laboratory for Crop Stress Resistance and High-Efficiency Production, Shaanxi Key Laboratory of Agricultural and Environmental Microbiology, College of Life Sciences, Northwest A&F University, Yangling, China.
Min GaoState Key Laboratory for Crop Stress Resistance and High-Efficiency Production, Shaanxi Key Laboratory of Agricultural and Environmental Microbiology, College of Life Sciences, Northwest A&F University, Yangling, China.
Jiai LiuState Key Laboratory for Crop Stress Resistance and High-Efficiency Production, Shaanxi Key Laboratory of Agricultural and Environmental Microbiology, College of Life Sciences, Northwest A&F University, Yangling, China.
Yihe WangState Key Laboratory for Crop Stress Resistance and High-Efficiency Production, Shaanxi Key Laboratory of Agricultural and Environmental Microbiology, College of Life Sciences, Northwest A&F University, Yangling, China.
Junhui ZhaoState Key Laboratory for Crop Stress Resistance and High-Efficiency Production, Shaanxi Key Laboratory of Agricultural and Environmental Microbiology, College of Life Sciences, Northwest A&F University, Yangling, China.
Lan JiangCollege of Natural Resources and Environment, Northwest A&F University, Yangling, China.
Ferran RomeroPlant-Soil Interactions, Department of Agroecology and Environment, Agroscope, Zurich, Switzerland.ORCID http://orcid.org/0000-0002-2986-4166
Samiran BanerjeeDepartment of Microbiological Sciences, North Dakota State University, Fargo, ND, USA.ORCID http://orcid.org/0000-0002-1402-0171
Yunfeng YangState Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing, China.
Yahai LuCollege of Urban and Environmental Science, Peking University, Beijing, China.ORCID http://orcid.org/0000-0002-1702-9868
Manuel Delgado-BaquerizoLaboratorio de Biodiversidad y Funcionamiento Ecosistémico, Instituto de Recursos Naturales y Agrobiología de Sevilla, Consejo Superior de Investigaciones Científicas, Seville, Spain.ORCID http://orcid.org/0000-0002-6499-576X
Marcel G A van der HeijdenDepartment of Plant and Microbial Biology, University of Zurich, Zurich, Switzerland.ORCID http://orcid.org/0000-0001-7040-1924
Gehong WeiState Key Laboratory for Crop Stress Resistance and High-Efficiency Production, Shaanxi Key Laboratory of Agricultural and Environmental Microbiology, College of Life Sciences, Northwest A&F University, Yangling, China. weigehong@nwafu.edu.cn.ORCID http://orcid.org/0000-0001-7524-4665

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Agricultural soil microbiomes experience frequent disturbance from intensive management and may therefore be better equipped to withstand climate warming than microbiomes in undisturbed natural soils. Here we test this by combining a continental-scale warming microcosm experiment across 100 paired agricultural-natural sites with a global meta-analysis and three microbiome manipulation experiments (microbial suspensions, cross-inoculation and synthetic communities). Agricultural soils showed a higher resistance of soil multifunctionality to warming than natural soils, consistent across the meta-analysis. Resistance of microbial community composition was the strongest predictor of functional resistance and was confirmed in artificial soils inoculated with agricultural versus natural microbial suspensions. Introducing soil microbiomes from agricultural ecosystems into previously undisturbed natural soils enhanced functional resistance to warming. Metagenomic analysis revealed that microbial life-history strategies play a crucial role in regulating the resistance of soil microbial community to warming, with communities dominated by stress-tolerant strategies conferring significantly stronger resistance. Our work highlights the potential of microbiome engineering to strengthen ecosystem functioning under climate change.

Indexed as

EcosystemMicrobiotaSoil MicrobiologyAgricultureBacteriaClimate ChangeGlobal WarmingSoilSoil

Identifiers

What OpenQuestion holds

Textmetadata
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.