Evidence map›Paper›PMID 41775707›Full record

ArticleScientific data2026

A watershed-scale potential pathogenic bacteria dataset from the Yangtze River Basin.

Jie Wang, Shang Wang, Tong Li, Weiguo Hou, Ye Deng

Abstract readDataset
In one paragraph

Article in Scientific data, 2026. 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

5 authors.

Jie WangState Key Laboratory of Regional Environment and Sustainability, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, 100085, China.
Shang WangState Key Laboratory of Regional Environment and Sustainability, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, 100085, China. shangwang@rcees.ac.cn.
Tong LiState Key Laboratory of Regional Environment and Sustainability, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, 100085, China.
Weiguo HouInstitute of Earth Sciences, China University of Geosciences, Beijing, 100083, China.
Ye DengState Key Laboratory of Regional Environment and Sustainability, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, 100085, China. yedeng@rcees.ac.cn.ORCID http://orcid.org/0000-0002-7584-0632

Funding

National Natural Science Foundation of China (National Science Foundation of China) 42277104
6 · The paper itself

Abstract

Microbial safety is fundamental to ensuring water quality, particularly in the Yangtze River Basin, China's most critical drinking water source. Despite its ecological and economic importance, the basin faces significant anthropogenic pressures, including wastewater discharge, which may elevate the risk of pathogenic contamination. However, fragmented sampling efforts and limited coverage have hindered a systematic understanding of pathogenic microbial diversity and distribution across this vast ecosystem. A novel bioinformatic pipeline leveraging Genome-Specific Markers to accurately identify and quantify potential pathogenic taxa in metagenomic data was applied to 625 publicly available metagenomes, spanning water, sediments, and riparian soils along the 6,300 km Yangtze River continuum. We reconstructed a potential pathogen catalog comprising 403 taxa, largely expanding the pathogen diversity in the large river ecosystem. We also generate the Richness distribution maps of potential pathogens for water, sediments and soils along Yangtze River. The basin-scale pathogen inventory not only establishes a baseline for potential pathogenic bacteria communities in the Yangtze Basin but also serves as a reference library for quick biosurveillance and risk management from genomic resolution.

Indexed as

BacteriaRiversWater MicrobiologyChinaGeologic SedimentsMetagenomeMetagenomicsSoil Microbiology

Identifiers

PMID41775707
PMCPMC13065790

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.