Evidence map›Paper›PMID 40382559›Full record

ArticleBMC veterinary research2025

Rapid whole genome sequencing for AMR surveillance in low- and middle-income countries: Oxford Nanopore Technology reveals multidrug-resistant Enterobacter cloacae complex from dairy farms in Sri Lanka.

Lakmini S Kumari, Dinushika M Siriwardhana, Veranja Liyanapathirana, Rasika Jinadasa, Priyanga Wijesinghe

Abstract read
In one paragraph

Article in BMC veterinary research, 2025. 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.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Co-Occurrence of Resistance to Aminoglycosides and Carbapenems inInternational journal of microbiology · 2026
    Review
  6. Article
  7. Review
  8. 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

5 authors.

Lakmini S KumariDepartment of Botany, Faculty of Science, University of Peradeniya, Peradeniya, 20400, Sri Lanka.ORCID https://orcid.org/0000-0002-2505-7631
Dinushika M SiriwardhanaDepartment of Botany, Faculty of Science, University of Peradeniya, Peradeniya, 20400, Sri Lanka.ORCID http://orcid.org/0009-0004-0783-9076
Veranja LiyanapathiranaDepartment of Microbiology, Faculty of Medicine, University of Peradeniya, Peradeniya, 20400, Sri Lanka.ORCID https://orcid.org/0000-0002-4356-2172
Rasika JinadasaDepartment of Veterinary Pathobiology, Faculty of Veterinary Medicine & Animal Science, University of Peradeniya, Peradeniya, 20400, Sri Lanka.ORCID https://orcid.org/0000-0001-8538-782X
Priyanga WijesingheDepartment of Botany, Faculty of Science, University of Peradeniya, Peradeniya, 20400, Sri Lanka. priyangaw@sci.pdn.ac.lk.ORCID https://orcid.org/0000-0002-7736-5038

Funding

Postgraduate Institute of Science, University of Peradeniya, Sri Lanka PGIS/2020/17
6 · The paper itself

Abstract

backgroundAntimicrobial resistance (AMR) is a major global challenge that disproportionately affects low- and middle-income countries (LMICs). Environmental contamination by resistant bacteria from animal production facilities is a major driver of the spread of AMR through the food chain, requiring a robust one-health control approach. Traditional culture-based AMR surveillance is time-consuming and less sensitive, and fails to fully capture the spectrum of AMR, evolutionary trends, and epidemiological patterns of AMR spread. Whole-genome sequencing (WGS) has revolutionized AMR surveillance capabilities. Rapid WGS captures the full AMR spectrum with minimum samples, aids source attribution, and provides insights into trends in AMR spread. The portable Oxford Nanopore® Technology (ONT) platform, coupled with open-source software such as Galaxy and Konstanz Information Miner (KNIME), enables the establishment of a potentially portable, transferable workflow for low-resource settings. This study aimed to assess the AMR burden on four dairy farms in Kandy, Sri Lanka, via a resource-limited LMIC using a low-cost high-throughput screening assay and rapid WGS via ONT with Galaxy and KNIME processing to obtain full antibiotic resistomes.

resultsThe four isolates exhibiting the highest minimum inhibitory concentrations for amoxicillin were identified as Enterobacter cloacae and E. hormaechei by WGS. Chromosomes (4.8 to 4.9 Mb) carry the strain-specific resistance genes blaCMH-1, blaACT-25, fosA_7, and ramA, which are associated with diverse antibiotic classes. Plasmids, including IncFIB (pECLA), IncFII (pECLA), and IncX3, carry multiple resistance genes, including AAC(3)-IIe, AAC(6')-Ib-cr, APH(3″)-Ib, APH(6)-Id, blaCTX-M-15, blaNDM, blaOXA-1, blaTEM-1, dfrA14, QnrB17, catII, determinant-of-bleomycin-resistance, and sul2. Novel arrangements of insertion sequences were observed in E. hormaechei plasmids. The phenotypic resistance of all the isolates matched the genotypic MDR profiles, including resistance to chloramphenicol, gentamicin, tetracycline, and cotrimoxazole.

conclusionsONT WGS with Galaxy and KNIME processing may be a feasible option for AMR surveillance in resource-limited LMICs. To the best of our knowledge, this is the first in-house whole-genome analysis workflow in the country tailored for AMR surveillance. The presence of potentially pathogenic high-MIC, MDR Enterobacter spp. with wide resistomes, including the blaNDM gene, emphasizes the urgent need to address AMR in animal production facilities within a one-health framework.

Indexed as

Drug Resistance, Multiple, BacterialEnterobacter cloacaeEnterobacteriaceae InfectionsWhole Genome SequencingAnimalsAnti-Bacterial AgentsCattleDairyingDeveloping CountriesGenome, BacterialMicrobial Sensitivity TestsSri LankaAnti-Bacterial AgentsEnterobacter cloacae complexMultidrug-resistant bacteriaOxford Nanopore sequencing

Identifiers

PMID40382559
PMCPMC12084958

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LicenceCC BY-NC-ND
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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.