Evidence map›Paper›PMID 35066838›Full record

ArticleEnvironmental science and pollution research international2022

Antibiotic resistomes in water supply reservoirs sediments of central China: main biotic drivers and distribution pattern.

Kai Zhang, Kuangjia Li, Rui Xin, Ya Han, Ziwei Guo, Wei Zou, Wei Wei, Xiangchao Cui, Zhongshuai Zhang, Ying Zhang

Abstract read
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Article in Environmental science and pollution research international, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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.

Kai ZhangSchool of Geographic Sciences, Henan Key Laboratory for Synergistic Prevention of Water and Soil Environmental Pollution, Xinyang Normal University, No.237, Nanhu Road, Shihe District, Xinyang, 464000, China. kaizhang1014@163.com.
Kuangjia LiDevelopment Research Center, Ministry of Water Resources of People's Republic of China, Beijing, 100032, China.
Rui XinSchool of Marine Science and Technology, Tianjin University, Tianjin, 300072, China.
Ya HanSchool of Geographic Sciences, Henan Key Laboratory for Synergistic Prevention of Water and Soil Environmental Pollution, Xinyang Normal University, No.237, Nanhu Road, Shihe District, Xinyang, 464000, China.
Ziwei GuoSchool of Geographic Sciences, Henan Key Laboratory for Synergistic Prevention of Water and Soil Environmental Pollution, Xinyang Normal University, No.237, Nanhu Road, Shihe District, Xinyang, 464000, China.
Wei ZouSchool of Environment, Henan Key Laboratory for Environmental Pollution Control, International Joint Laboratory On Key Techniques in Water Treatment, Henan Normal University, Henan, 453007, China.
Wei WeiSchool of Geographic Sciences, Henan Key Laboratory for Synergistic Prevention of Water and Soil Environmental Pollution, Xinyang Normal University, No.237, Nanhu Road, Shihe District, Xinyang, 464000, China.
Xiangchao CuiSchool of Geographic Sciences, Henan Key Laboratory for Synergistic Prevention of Water and Soil Environmental Pollution, Xinyang Normal University, No.237, Nanhu Road, Shihe District, Xinyang, 464000, China.
Zhongshuai ZhangSchool of Geographic Sciences, Henan Key Laboratory for Synergistic Prevention of Water and Soil Environmental Pollution, Xinyang Normal University, No.237, Nanhu Road, Shihe District, Xinyang, 464000, China.
Ying ZhangMOE Key Laboratory of Pollution Processes and Environmental Criteria, College of Environmental Science and Engineering, Nankai University, No.38, Tongyan Road, Haihe Education Park, Tianjin, 300350, China. zhangying@nankai.edu.cn.

Funding

national natural science foundation of china 41807038national natural science foundation of china 42007209national natural science foundation of china 51808477natural science foundation of tianjin municipal science and technology commission 19JCYBJC23200
6 · The paper itself

Abstract

Water supply reservoirs form one of the critical drinking water resources. Their water quality directly affects human health. However, reservoir sediments have not received adequate attention in antibiotic resistance genes (ARGs) dissemination, though they reflect long-term ARGs contamination of water supply reservoirs. Moreover, the physicochemical parameters in water supply reservoir sediments are generally better than those in the other media. Thus, the main ARGs biotic drivers of the media would demonstrate their unique characteristics. In this study, sediment samples were collected from 10 water supply reservoirs in central China, and the antibiotic resistomes were determined with the metagenomic method. As revealed from the results, 174 ARGs (18 ARG types) were detected in the reservoir sediment. Besides, multidrug-, sulfonamide-, and vancomycin-ARGs were the dominant ARGs in the sediment samples. The macrolide-resistant Microcystis was prevalent (100% detection frequency with 0.35% average percentage) in reservoir sediments and posed potential risks to human health. Furthermore, the results of the Mantel test and VPA demonstrated that mobile genetic elements (MGEs) were the more essential biotic drivers in ARG contents of reservoir sediments rather than the bacteria community.

Indexed as

Anti-Bacterial AgentsGenes, BacterialChinaDrug Resistance, MicrobialHumansWater SupplyAnti-Bacterial AgentsAntibiotic resistomeBacteria communityCentral ChinaMobile genetic elementsReservoir sediments

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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.