Evidence map›Paper›PMID 41291846›Full record

ArticleEnvironmental microbiome2025

The microbial community metabolic regime adapts to hydraulic disturbance in river-lake systems with high-frequency regulation.

Jiewei Ding, Wei Yang, Xiaoxiao Li, Xinyu Liu, Jiayue Zhao, Tao Sun, Haifei Liu

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Environmental microbiome, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

7 authors.

Jiewei DingState Key Laboratory of Regional Environment and Sustainability, School of Environment, Beijing Normal University, No. 19 Xinjiekouwai St., Haidian District, Beijing, 100875, China.
Wei YangState Key Laboratory of Regional Environment and Sustainability, School of Environment, Beijing Normal University, No. 19 Xinjiekouwai St., Haidian District, Beijing, 100875, China. yangwei@bnu.edu.cn.
Xiaoxiao LiSchool of Biosciences, University of Sheffield, Sheffield, S10 2TN, UK.
Xinyu LiuState Key Laboratory of Regional Environment and Sustainability, School of Environment, Beijing Normal University, No. 19 Xinjiekouwai St., Haidian District, Beijing, 100875, China.
Jiayue ZhaoState Key Laboratory of Regional Environment and Sustainability, School of Environment, Beijing Normal University, No. 19 Xinjiekouwai St., Haidian District, Beijing, 100875, China.
Tao SunState Key Laboratory of Regional Environment and Sustainability, School of Environment, Beijing Normal University, No. 19 Xinjiekouwai St., Haidian District, Beijing, 100875, China.
Haifei LiuState Key Laboratory of Regional Environment and Sustainability, School of Environment, Beijing Normal University, No. 19 Xinjiekouwai St., Haidian District, Beijing, 100875, China.

Funding

Wei YANG National Key Research and Development Program of China (No. 2023YFC3209003)
6 · The paper itself

Abstract

backgroundRiver-lake ecosystems are crucial for the rational allocation of water resources, but frequent water diversion can destabilize water quality due to hydraulic disturbance. Microbial communities can respond rapidly to such external perturbations and influence these systems through the effects on nutrient metabolism. Therefore, understanding how microbial communities respond to hydraulic shocks in aquatic systems and whether they can adapt to such disturbances is essential for maintaining the health of river-lake systems. We used 16S rRNA and metagenomic sequencing technologies to examine the metabolic regimes of microbial communities during water regulation and non-regulation periods in river-lake systems.

resultsWe found that hydraulic disturbance tended to drive the microbial community toward homogenized selection, thereby weakening its stability. Flow velocity (V) and the nitrate (NO

conclusionsOur study provides theoretical support for understanding how microbial communities adapt to high-frequency hydraulic disturbances and offer valuable insights for managers to adjust water diversion strategies in a timely manner, thereby safeguarding the integrity of river-lake ecosystems.

Indexed as

Hydraulic disturbancesMetabolic regimesMicrobial communitiesRiver–lake ecosystemsThreshold effects

Identifiers

PMID41291846
PMCPMC12751950

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.