Evidence map›Paper›PMID 41931867›Full record

ArticlePoultry science2026

Influence of housing system on antimicrobial resistance and population structure of extended-spectrum beta-lactamase-producing Escherichia coli in South Korean layer farms.

So-Yeon Kwon, Soo-Ah Lee, Hyunsook Kim, Jungwhan Chon, Jong-Young Lee, Kun-Ho Seo

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

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

So-Yeon KwonCenter for One Health, College of Veterinary Medicine, Konkuk University, 120, Neungdong-ro, Gwangjin-gu, Seoul 05029, South Korea.
Soo-Ah LeeCenter for One Health, College of Veterinary Medicine, Konkuk University, 120, Neungdong-ro, Gwangjin-gu, Seoul 05029, South Korea.
Hyunsook KimDepartment of Food Nutrition, College of Human Ecology, Hanyang University, Seoul 04763, South Korea.
Jungwhan ChonDepartment of Food Science and Biotechnology, Kangwon National University, Chuncheon 24341, South Korea.
Jong-Young LeeOneomics Co., Ltd., Gimpo-si 10090, South Korea.
Kun-Ho SeoCenter for One Health, College of Veterinary Medicine, Konkuk University, 120, Neungdong-ro, Gwangjin-gu, Seoul 05029, South Korea. Electronic address: bracstu3@konkuk.ac.kr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Extended-spectrum β-lactamase (ESBL)-producing Escherichia coli are widespread in poultry production, posing serious public health risks. However, evidence from commercial layer farms-particularly environmental reservoirs-and direct comparisons between cage and floor housing systems remain limited. In this study, we aimed to investigate the prevalence, antimicrobial resistance (AMR) profiles, β-lactamase genotypes, and clonal diversity of ESBL-producing E. coli in floor- and cage-housed layer farms in South Korea to inform AMR risk assessment and control strategies. Eighty ESBL-producing E. coli isolates were recovered from 34 environmental samples collected across six farms (three floor-housed and three cage-housed layer farms). All isolates exhibited high resistance to ampicillin and third-generation cephalosporins, whereas susceptibility to imipenem and amikacin was retained. Resistance to tetracycline (45.2% vs. 15.8%; P = 0.005), chloramphenicol (64.3% vs. 31.6%; P = 0.005), and trimethoprim-sulfamethoxazole (54.8% vs. 18.4%; P = 0.001) was higher among floor-housed than cage-housed isolates, resulting in a higher prevalence of multidrug resistance in floor-housed isolates. Genotypic analysis identified blaCTX-M-14 (27.5%) and blaCTX-M-55 (21.3%) as the most prevalent ESBL genes. Among non-ESBL β-lactamase genes, blaTEM-30 and blaTEM-116 were more frequent in floor-housed isolates, whereas blaTEM-163 predominated in cage-housed isolates. Multilocus sequence typing showed reduced clonal diversity in floor-housed isolates, dominated by ST1718 and ST10, whereas cage-housed isolates displayed broader, more heterogeneous lineages. These findings indicate the association of layer housing systems with differences in AMR burden, β-lactamase allele distribution, and clonal structure of ESBL-producing E. coli, supporting housing-tailored biosecurity and farm-level surveillance to mitigate dissemination in layer production.

Indexed as

Anti-Bacterial Agentsbeta-LactamasesChickensDrug Resistance, BacterialDrug Resistance, Multiple, BacterialEscherichia coliEscherichia coli InfectionsHousing, AnimalPoultry DiseasesAnimal HusbandryAnimalsGenotypePrevalenceRepublic of KoreaAnti-Bacterial Agentsbeta-LactamasesAntimicrobial resistanceblaCTX-MCommercial layer farmsESBL-producing Escherichia coliHousing system (cage vs floor)

Identifiers

PMID41931867
PMCPMC13087759

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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.