Evidence map›Paper›PMID 39820498›Full record

SynthesisMicrobial ecology2025

Assessing the Risks of Potential Pathogens and Antibiotic Resistance Genes Among Heterogeneous Habitats in a Temperate Estuary Wetland: a Meta-analysis.

Hongjing Luo, Kunpeng Xie, Pengsheng Dong, Yongsheng Zhang, Tingyi Ren, Caihong Sui, Changwei Ma, Caiyuan Zhao, Naresh Kumar Dewangan, Zheng Gong

Abstract readMeta-Analysis
In one paragraph

Synthesis in Microbial ecology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

10 authors.

Hongjing Luo *Key Laboratory of Plant Biotechnology of Liaoning Province, School of Life Sciences, Liaoning Normal University, Dalian, 116029, China.
Kunpeng Xie *Key Laboratory of Plant Biotechnology of Liaoning Province, School of Life Sciences, Liaoning Normal University, Dalian, 116029, China.
Pengsheng DongCollege of Animal Science and Technology, Henan Agricultural University, Zhengzhou, 450046, China. dpsh@henau.edu.cn.
Yongsheng ZhangKey Laboratory of Plant Biotechnology of Liaoning Province, School of Life Sciences, Liaoning Normal University, Dalian, 116029, China.
Tingyi RenKey Laboratory of Plant Biotechnology of Liaoning Province, School of Life Sciences, Liaoning Normal University, Dalian, 116029, China.
Caihong SuiKey Laboratory of Plant Biotechnology of Liaoning Province, School of Life Sciences, Liaoning Normal University, Dalian, 116029, China.
Changwei MaKey Laboratory of Plant Biotechnology of Liaoning Province, School of Life Sciences, Liaoning Normal University, Dalian, 116029, China.
Caiyuan ZhaoCollege of Animal Science and Technology, Henan University of Animal Husbandry and Economy, Zhengzhou, 450046, China.
Naresh Kumar DewanganCollege of Animal Science and Technology, Henan University of Animal Husbandry and Economy, Zhengzhou, 450046, China.
Zheng GongKey Laboratory of Plant Biotechnology of Liaoning Province, School of Life Sciences, Liaoning Normal University, Dalian, 116029, China. gongzheng@lnnu.edu.cn.

Funding

Henan Province Science and Technology Key Project 242102111013Horizontal scientific research project (microbial-enhanced treatment of petroleum hydrocarbon pollutants: technical and engineering demonstration) H2022011Initial Scientific Research Fund of Young Teachers in Henan University of Animal Husbandry and Economy 2023HNUAHEDF009National Natural Science Foundation of China 32303039State Key Laboratory for Managing Biotic and Chemical Threats to the Quality, Safety of Agro-products 2021DG700024-KF202425Top-Notch Talents Program of Henan Agricultural University 30501466
6 · The paper itself

Abstract

Temperate estuary wetlands act as natural filters for microbiological contamination and have a profound impact on "One Health." However, knowledge of microbiological ecology security across the different habitats in temperate estuarine wetlands remains limited. This study employed meta-analysis to explore the characteristics of bacterial communities, potential pathogens, and antibiotic resistance genes (ARGs) across three heterogeneous habitats (water, soil, and sediment) within the Liaohe Estuary landscape. The diversity and composition of the three bacterial communities differed with biogeography, temperature, and pH, with the highest α-diversity showing a significantly negative correlation along latitude in soil. Furthermore, aminoglycosides were significantly enriched in water and soil, while dihydrofolate was more likely to be enriched in soil. The potential pathogens, Pseudoalteromonas and Planococcus, were dominant in water and sediment, while Stenotrophomonas was the dominant bacterium in soil. The network topology parameter revealed interspecific interactions within the community. PLS-PM highlights the main direct factors affecting the abundance of potential pathogens and the spread of ARGs, while temperature and pH indirectly influence these potential pathogens. This study advances our understanding of bacterial communities in estuarine wetlands, while highlighting the need for effective monitoring to mitigate the risks associated with potential pathogens and ARGs in these ecosystems.

Indexed as

BacteriaDrug Resistance, BacterialDrug Resistance, MicrobialEstuariesWetlandsAnti-Bacterial AgentsEcosystemGenes, BacterialGeologic SedimentsMicrobiotaSoil MicrobiologyWater MicrobiologyAnti-Bacterial AgentsAntibiotic resistance genesBiogeographyCo-occurrencePotential pathogensRisk assessmentTemperate estuary

Identifiers

PMID39820498
PMCPMC11739316

What Socratic holds

Textmetadata
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 Socratic graph.