Evidence map›Paper›PMID 42436636›Full record

ArticleThe ISME journal2026

Increased precipitation decelerates temporal succession of grassland soil microbial communities.

Sihang Deng, Weiling Shi, Renmao Tian, Xue Guo, Daliang Ning, Xishu Zhou, Mengting Yuan, Jiajie Feng, Aifen Zhou, Ying Fu and 16 more

Abstract read
In one paragraph

Article in The ISME journal, 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

26 authors.

Sihang DengState Key Laboratory of Regional Environment and Sustainability, School of Environment, Tsinghua University, Beijing 100084, China.
Weiling ShiInstitute for Environmental Genomics, School of Biological Sciences, University of Oklahoma, Norman, OK 73019, United States.
Renmao TianInstitute for Environmental Genomics, School of Biological Sciences, University of Oklahoma, Norman, OK 73019, United States.
Xue GuoInstitute for Environmental Genomics, School of Biological Sciences, University of Oklahoma, Norman, OK 73019, United States.
Daliang NingInstitute for Environmental Genomics, School of Biological Sciences, University of Oklahoma, Norman, OK 73019, United States.
Xishu ZhouInstitute for Environmental Genomics, School of Biological Sciences, University of Oklahoma, Norman, OK 73019, United States.
Mengting YuanInstitute for Environmental Genomics, School of Biological Sciences, University of Oklahoma, Norman, OK 73019, United States.
Jiajie FengInstitute for Environmental Genomics, School of Biological Sciences, University of Oklahoma, Norman, OK 73019, United States.
Aifen ZhouInstitute for Environmental Genomics, School of Biological Sciences, University of Oklahoma, Norman, OK 73019, United States.
Ying FuInstitute for Environmental Genomics, School of Biological Sciences, University of Oklahoma, Norman, OK 73019, United States.
Gang XuInstitute for Environmental Genomics, School of Biological Sciences, University of Oklahoma, Norman, OK 73019, United States.
Dashuai MuInstitute for Environmental Genomics, School of Biological Sciences, University of Oklahoma, Norman, OK 73019, United States.
Peng ShiInstitute for Environmental Genomics, School of Biological Sciences, University of Oklahoma, Norman, OK 73019, United States.
Xiangyu FanInstitute for Environmental Genomics, School of Biological Sciences, University of Oklahoma, Norman, OK 73019, United States.
Yue TengInstitute for Environmental Genomics, School of Biological Sciences, University of Oklahoma, Norman, OK 73019, United States.
Xin ZhaoInstitute for Environmental Genomics, School of Biological Sciences, University of Oklahoma, Norman, OK 73019, United States.
Zhongfang LiInstitute for Environmental Genomics, School of Biological Sciences, University of Oklahoma, Norman, OK 73019, United States.
Jiantao LiuInstitute for Environmental Genomics, School of Biological Sciences, University of Oklahoma, Norman, OK 73019, United States.
Xiaonan LiuInstitute for Environmental Genomics, School of Biological Sciences, University of Oklahoma, Norman, OK 73019, United States.
Liyou WuInstitute for Environmental Genomics, School of Biological Sciences, University of Oklahoma, Norman, OK 73019, United States.
Zhili HeInstitute for Environmental Genomics, School of Biological Sciences, University of Oklahoma, Norman, OK 73019, United States.
Xueduan LiuSchool of Minerals Processing and Bioengineering, Central South University, Changsha 410083, China.
Yiqi LuoSchool of Integrative Plant Science, Cornell University, Ithaca, NY 14853, United States.
James M TiedjeCenter for Microbial Ecology, Michigan State University, East Lansing, MI 48824, United States.
Yunfeng YangInstitute of Environment and Ecology, Tsinghua Shenzhen Internationl Graduate School, Tsinghua University, Shenzhen 518055, China.ORCID 0000-0001-8274-6196
Jizhong ZhouInstitute for Environmental Genomics, School of Biological Sciences, University of Oklahoma, Norman, OK 73019, United States.

Funding

NSF DEB-2129235NSF EF-2025558US Department of Energy, Office of Science, Genomic Science Program DE-SC0004601US Department of Energy, Office of Science, Genomic Science Program DE-SC0010715
6 · The paper itself

Abstract

Global precipitation regimes have been shifted in recent decades, imposing significant consequences in water-limited grassland ecosystems. However, the effects of increased precipitation on the succession of soil microbial communities remain unclear, mainly due to the scarcity of long-term experiments with time-series data. Here, we examined temporal succession of grassland soil microbial communities in a long-term increased precipitation experiment. Both soil microbial taxonomic and functional structures were significantly altered by increased precipitation. Increased precipitation significantly decelerated the succession rates of soil microbial functional structure (i.e. time-decay relationships). Consistent with the increased microbial decomposition and heterotrophic respiration, the abundances of soil microbial carbon decomposition genes were markedly enhanced by increased precipitation. Furthermore, increased precipitation stimulated genes involved in nutrient cycling processes, potentially promoting plant growth. Collectively, the contributions of stochastic processes in shaping microbial communities were increased under increased precipitation, suggesting that microbial successional trajectories may shift toward multiple alternative states characterized by greater stochasticity under future altered precipitation regimes.

Indexed as

BacteriaGrasslandRainSoil Microbiologyfunctional genesgrasslandheterotrophic respirationincreased precipitationsoil microorganismstemporal succession

Identifiers

PMID42436636
PMCPMC13440302

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Registered trials

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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.