Evidence map›Paper›PMID 42112445›Full record

ArticleFrontiers in microbiology2026

Single-cell genomic profiling of antimicrobial resistance in

Runa Furuya, Yohei Nishikawa, Yusuke Ota, Isaac Prah, Samiratu Mahazu, Masako Kifushi, Mitsunori Yoshida, Masato Suzuki, Yoshihiko Hoshino, Toshihiko Suzuki and 3 more

Abstract read
In one paragraph

Article in Frontiers in microbiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Runa FuruyaDepartment of Molecular Microbiology and Immunology, Graduate School of Medicine and Dental Science, Institute of Science, Tokyo, Japan.
Yohei NishikawaBiomanufacturing Process Research Center, National Institute of Advanced Industrial Science and Technology (AIST), Ibaraki, Japan.
Yusuke OtaDepartment of Molecular Microbiology and Immunology, Graduate School of Medicine and Dental Science, Institute of Science, Tokyo, Japan.
Isaac PrahDepartment of Molecular Microbiology and Immunology, Graduate School of Medicine and Dental Science, Institute of Science, Tokyo, Japan.
Samiratu MahazuDepartment of Molecular Microbiology and Immunology, Graduate School of Medicine and Dental Science, Institute of Science, Tokyo, Japan.
Masako KifushiDepartment of Life Science and Medical Bioscience, Graduate School of Advanced Science and Engineering, Waseda University, Tokyo, Japan.
Mitsunori YoshidaDepartment of Mycobacteriology, Leprosy Research Center, National Institute of Infectious Diseases, Tokyo, Japan.
Masato SuzukiAntimicrobial Resistance Research Center, National Institute of Infectious Diseases, Tokyo, Japan.
Yoshihiko HoshinoDepartment of Mycobacteriology, Leprosy Research Center, National Institute of Infectious Diseases, Tokyo, Japan.
Toshihiko SuzukiDepartment of Bacterial Pathogenesis, Infection and Host Response, Institute of Science, Tokyo, Japan.
Haruko TakeyamaResearch Organization for Nano & Life Innovation, Waseda University, Tokyo, Japan.
Anthony AblordeyDepartment of Bacteriology, Noguchi Memorial Institute for Medical Research, Accra, Ghana.
Ryoichi SaitoDepartment of Molecular Microbiology and Immunology, Graduate School of Medicine and Dental Science, Institute of Science, Tokyo, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: River water serves as a natural reservoir for antimicrobial resistance (AMR) factors. Although environmental AMR poses a global threat to public health as it spreads to local communities through the microbiome in aquatic environments, the actual situation remains unclear, especially in developing countries. In this study, we sought microbiome data, including AMR information, for multiple bacterial strains from river water samples using a single-cell genomics platform. Methods and results: After antimicrobial selection of samples from the Densu River in Ghana, 16S rRNA amplicon sequencing revealed a high proportion of the genus Conclusion: This study demonstrates the potential of single-cell genomics using the single-cell amplified genome in gel method to enhance environmental AMR surveillance with high resolution and accuracy. It also represents the first application of this approach to aquatic environments in Ghana, thereby contributing to the development of microbial ecology and genomic resources.

Indexed as

antimicrobial resistanceaquatic environmentphylogenetic analysissingle-cell genomic analysisvirulence factors

Identifiers

PMID42112445
PMCPMC13149393

What OpenQuestion holds

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Registered trials

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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.