Evidence map›Paper›PMID 35775832›Full record

ArticleEnvironmental science & technology2022

Antibiotic Resistomes and Microbiomes in the Surface Water along the Code River in Indonesia Reflect Drainage Basin Anthropogenic Activities.

Johanna Muurinen, Windi I Muziasari, Jenni Hultman, Katariina Pärnänen, Vanny Narita, Christina Lyra, Lintang N Fadlillah, Ludhang P Rizki, William Nurmi, James M Tiedje and 3 more

Abstract read
In one paragraph

Article in Environmental science & technology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 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

13 authors.

Johanna MuurinenDepartment of Microbiology, University of Helsinki, Viikinkaari 9, 00014 Helsinki, Finland.ORCID 0000-0002-5095-9602
Windi I MuziasariDepartment of Microbiology, University of Helsinki, Viikinkaari 9, 00014 Helsinki, Finland.
Jenni HultmanDepartment of Microbiology, University of Helsinki, Viikinkaari 9, 00014 Helsinki, Finland.
Katariina PärnänenDepartment of Microbiology, University of Helsinki, Viikinkaari 9, 00014 Helsinki, Finland.
Vanny NaritaPT. AmonRa, Jalan Panti Asuhan 37, 13330 Jakarta Timur, Indonesia.
Christina LyraDepartment of Microbiology, University of Helsinki, Viikinkaari 9, 00014 Helsinki, Finland.
Lintang N FadlillahCenter for Environmental Studies (PSLH), Universitas Gadjah Mada, Jalan Kuningan, 55281 Yogyakarta, Indonesia.
Ludhang P RizkiCenter for Environmental Studies (PSLH), Universitas Gadjah Mada, Jalan Kuningan, 55281 Yogyakarta, Indonesia.
William NurmiResistomap Oy, Viikinkaari 4, 00790 Helsinki, Finland.
James M TiedjeCenter for Microbial Ecology, Department of Plant, Soil and Microbial Sciences, Michigan State University, East Lansing, Michigan 48824, United States.
Iwan DwiprahastoFaculty of Medicine, Universitas Gadjah Mada, Jalan Farmako, 55281 Yogyakarta, Indonesia.
Pramono HadiCenter for Environmental Studies (PSLH), Universitas Gadjah Mada, Jalan Kuningan, 55281 Yogyakarta, Indonesia.
Marko P J VirtaDepartment of Microbiology, University of Helsinki, Viikinkaari 9, 00014 Helsinki, Finland.ORCID 0000-0001-5981-7566

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Water and sanitation are important factors in the emergence of antimicrobial resistance in low- and middle-income countries. Drug residues, metals, and various wastes foster the spread of antibiotic resistance genes (ARGs) with the help of mobile genetic elements (MGEs), and therefore, rivers receiving contaminants and effluents from multiple sources are of special interest. We followed both the microbiome and resistome of the Code River in Indonesia from its pristine origin at the Merapi volcano through rural and then city areas to the coast of the Indian Ocean. We used a SmartChip quantitative PCR with 382 primer pairs for profiling the resistome and MGEs and 16S rRNA gene amplicon sequencing to analyze the bacterial communities. The community structure explained the resistome composition in rural areas, while the city sampling sites had lower bacterial diversity and more ARGs, which correlated with MGEs, suggesting increased mobility potential in response to pressures from human activities. Importantly, the vast majority of ARGs and MGEs were no longer detectable in marine waters at the ocean entrance. Our work provides information on the impact of different influents on river health as well as sheds light on how land use contributes to the river resistome and microbiome.

Indexed as

MicrobiotaRiversAnthropogenic EffectsAnti-Bacterial AgentsBacteriaGenes, BacterialHumansIndonesiaRNA, Ribosomal, 16SWaterAnti-Bacterial AgentsRNA, Ribosomal, 16SWater16S rRNA amplicon sequencingAntimicrobial resistancebacterial communitiesquantitative PCRriver health

Identifiers

PMID35775832
PMCPMC9631996

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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.