Evidence map›Paper›PMID 41410445›Full record

ArticleApplied and environmental microbiology2026

Quantitative microbial risk assessment of antibiotic resistance genes and mobile genetic elements in orchard soils across South Korea.

Raan Shin, Seunggyun Han, Jaeyoung Ro, Sujin Lee, Song-Hee Ryu, Hor-Gil Hur, Hanseob Shin

Abstract read
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In one paragraph

Article in Applied and environmental microbiology, 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. Review
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

7 authors.

Raan ShinSchool of Environment and Energy Engineering, Gwangju Institute of Science and Technology (GIST), Gwangju, South Korea.
Seunggyun HanSchool of Environment and Energy Engineering, Gwangju Institute of Science and Technology (GIST), Gwangju, South Korea.
Jaeyoung RoSchool of Environment and Energy Engineering, Gwangju Institute of Science and Technology (GIST), Gwangju, South Korea.
Sujin LeeSchool of Environment and Energy Engineering, Gwangju Institute of Science and Technology (GIST), Gwangju, South Korea.
Song-Hee RyuResidual Agrochemical Assessment Division, National Institute of Agricultural Sciences, Wanju-gun, South Korea.
Hor-Gil HurSchool of Environment and Energy Engineering, Gwangju Institute of Science and Technology (GIST), Gwangju, South Korea.ORCID 0000-0001-5077-3886
Hanseob ShinCenter for Health Effects of Environmental Contamination, University of Iowa, Iowa City, Iowa, USA.ORCID 0000-0001-8814-3708

Funding

National Research Foundation of Korea RS-2023-NR076613
6 · The paper itself

Abstract

Antibiotic resistance is a global health crisis, but environmental pathways of resistance dissemination to farm workers remain poorly understood. Agricultural soils represent critical but underexplored reservoirs of antibiotic resistance genes (ARGs) and mobile genetic elements (MGEs), particularly in orchards where antibiotics such as streptomycin and oxytetracycline are widely used for fire blight control. Here, we conducted a nationwide investigation of orchard soils in South Korea, integrating high-throughput qPCR, 16S rRNA gene sequencing, and quantitative microbial risk assessment (QMRA). We detected 297 ARGs and 52 MGEs, with eight core genes [

Indexed as

Anti-Bacterial AgentsBacteriaDrug Resistance, BacterialDrug Resistance, MicrobialGenes, BacterialInterspersed Repetitive SequencesSoil MicrobiologyAgricultureRepublic of KoreaRisk AssessmentRNA, Ribosomal, 16SAnti-Bacterial AgentsRNA, Ribosomal, 16Sagricultural antibioticsantibiotic resistance genesoccupational exposureorchard soilsquantitative microbial risk assessment

Identifiers

PMID41410445
PMCPMC12838445

What OpenQuestion holds

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LicenceCC BY
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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.