Evidence map›Paper›PMID 40900750›Full record

ArticlePeerJ2025

Analysis of microbial diversity and functions in sediments and overlying water of the Shiliu River.

Yazi Li, Shuhong Zhang, Yumei Guo, Ke Xu, Xiqing Zhang, Mengfei Pan, Qiaoping Sun, Yanfang Zhang, Yongshan Fan

Abstract read
In one paragraph

Article in PeerJ, 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

9 authors.

Yazi LiDepartment of Life Sciences, Tangshan Normal University, Tangshan, Hebei, China.
Shuhong ZhangDepartment of Life Sciences, Tangshan Normal University, Tangshan, Hebei, China.
Yumei GuoInstitute for Microbiological Examination, Shijiazhuang Center for Disease Control and Prevention, Shijiazhuang, Hebei, China.
Ke XuDepartment of Life Sciences, Tangshan Normal University, Tangshan, Hebei, China.
Xiqing ZhangCollege of Life Sciences, Agricultural University of Hebei, Baoding, Hebei, China.
Mengfei PanCollege of Life Sciences, Agricultural University of Hebei, Baoding, Hebei, China.
Qiaoping SunHebei Green Dream Environmental Science & Technology Co., Ltd, Tangshan, Hebei, China.
Yanfang ZhangHebei Green Dream Environmental Science & Technology Co., Ltd, Tangshan, Hebei, China.
Yongshan FanDepartment of Life Sciences, Tangshan Normal University, Tangshan, Hebei, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: With the acceleration of urbanization, urban rivers have become a significant component of the urban ecosystem, attracting considerable attention regarding their ecological status and biodiversity. This study focuses on the Shiliu River, aiming to analyze the microbial diversity and functions present in the overlying water and sediments of severely polluted areas. Methods: This study investigated the Shiliu River. In August 2024, sediment and overlying water samples were collected from its severely polluted reaches. The NextSeq 2000 PE300 platform was employed for sequencing to detect bacterial and fungal taxa abundances. PICRUSt and FUNGuild predicted sample functional abundances using bacterial 16S rRNA and fungal internal transcribed spacer (ITS) gene sequences, respectively. Results: The findings demonstrate that sediments exhibit higher bacterial and fungal richness than overlying water, with significant discrepancies in bacterial and fungal community compositions. Dominant taxa differ at both phylum and genus levels: in sediments, the predominant bacterial phylum is Proteobacteria and genus norank_ Conclusions: This study reveals the microbial community structures in the sediments and overlying water of the polluted Shiliu River, finding diverse patterns with higher richness in sediments, Proteobacteria and Ascomycota as dominants. Shared taxa have different abundances, indicating niche differentiation. Sediments have enriched nitrogen/carbon cycling pathways for pollutant degradation. These results offer a microbiological basis for urban river restoration, identify bioremediation-target taxa, and stress the integration of microbial ecology into pollution management.

Indexed as

BacteriaFungiGeologic SedimentsMicrobiotaRiversWater MicrobiologyBiodiversityRNA, Ribosomal, 16SRNA, Ribosomal, 16SDiversityFunctional predictionOverlying waterSedimentsShiliu river

Identifiers

PMID40900750
PMCPMC12401026

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.