Evidence map›Paper›PMID 42608432›Full record

ArticleScientific reports2026

Functional response of bacterial communities in surface sediments of qingshitan reservoir to anthropogenic disturbance.

Xue Feng, Tang Xiang-Ling, Gan ZhiJie

Abstract read
In one paragraph

Article in Scientific reports, 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

3 authors.

Xue FengGuilin Tourism University, Guilin, 541000, Guangxi, China. 1739877528@qq.com.
Tang Xiang-LingGuilin university of technology institute of earth science, Guilin, 541004, China.
Gan ZhiJieGuilin university of technology institute of earth science, Guilin, 541004, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study investigated the bacterial composition in surface sediments (0-5 cm) of Qingshitan Reservoir to elucidate their ecosystem functions in response to anthropogenic disturbances. Samples were collected in July 2023 from eight ecological points representing varying disturbance levels. High-throughput sequencing revealed significant variations in bacterial community structure. Sediments from the upstream cage aquaculture area (heavily disturbed) exhibited the highest bacterial richness, diversity, and evenness, while midstream and downstream areas (lightly disturbed) showed reduced diversity and uneven community structures. The dominant bacterial phyla included Firmicutes, Proteobacteria, Actinobacteriota, and Bacteroidota, with the most abundant genera being Lactobacillus, Escherichia-Shigella, Staphylococcus, Corynebacterium, and Brevibacterium.Functional predictions using PICRUSt2 indicated robust metabolic activity across all areas, particularly in amino acid metabolism within the cage aquaculture region. FAPROTAX analysis highlighted enhanced nitrate reduction in disturbed areas, suggesting a potential role in mitigating eutrophication through nitrogen cycling regulation. Additionally, BugBase identified elevated proportions of potentially pathogenic bacteria in upstream cage aquaculture and midstream residential areas, underscoring the need for targeted ecological risk management.These findings provide critical insights into the microbial ecology of Qingshitan Reservoir and its response to anthropogenic pressures, offering a scientific foundation for improving water resource utilization and ecological conservation efforts.

Indexed as

Anthropogenic EffectsBacteriaGeologic SedimentsMicrobiotaBiodiversityChinaEcosystemBacteriaDiversityFunctional PredictionQingshitan Reservoir

Identifiers

PMID42608432
PMCPMC13482404

What OpenQuestion holds

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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.