Evidence map›Paper›PMID 41634549›Full record

ArticleBMC microbiology2026

Resistomes associated with transmissible bacterial pathogens in water and sediments from Oko-Agbon stream, Makoko, Lagos, Nigeria.

John O Apeh, Emmanuel A Meshach, Oluwabusayo T Fagbemi, Modupeade C Adetunji, Michael N Aransiola, Joseph O Shaibu, Christian A Enwuru

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Article in BMC 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.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

7 authors.

John O ApehDepartment of Biological Sciences, Trinity University Sabo-Yaba, Lagos, Nigeria. apehojochebe@gmail.com.
Emmanuel A MeshachDepartment of Biological Sciences, Trinity University Sabo-Yaba, Lagos, Nigeria.
Oluwabusayo T FagbemiDepartment of Biological Sciences, Trinity University Sabo-Yaba, Lagos, Nigeria.
Modupeade C AdetunjiDepartment of Biological Sciences, Trinity University Sabo-Yaba, Lagos, Nigeria.
Michael N AransiolaMicrobiology Department, Nigerian Institute of Medical Research, Yaba, Lagos State, Nigeria.
Joseph O ShaibuMicrobiology Department, Nigerian Institute of Medical Research, Yaba, Lagos State, Nigeria.
Christian A EnwuruMicrobiology Department, Nigerian Institute of Medical Research, Yaba, Lagos State, Nigeria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWater is essential for life; however, it serves as the route of transmission for many infectious pathogens. The increasing prevalence of multidrug-resistant (MDR) bacteria in water samples poses a significant public health risk.

aimThis study aims to reveal the transmissible resistance genes linked to antibacterial resistance in bacterial pathogens found in water and sediment samples from the Oko-Agbon stream in Makoko, Lagos.

methodThe bacteria were identified using conventional methods and subsequently subjected to antimicrobial susceptibility testing using the Kirby-Bauer disk diffusion technique. The MDR strains were screened for ESBLs and Carbapenemase genes phenotypically by the double disk synergy method and genotypically by PCR amplification. The ESBLs and Carbapenemase genes were expressed and visualized in agar gel electrophoresis using a standard gene ladder.

resultsA total of 41 bacterial pathogens were isolated, mainly: Bacillus spp., Enterobacter spp., Salmonella spp., Proteus spp., Klebsiella spp., E. coli, and Staphylococcus spp. The isolates were tested for their susceptibility to a panel of antibiotics using the disk diffusion method as recommended by the Clinical and Laboratory Standards Institute (CLSI). Multidrug resistance was recorded in 39 (95%) of the isolates. Out of those, 5 (12.8%) were profiled genetically using multiplex Polymerase Chain Reaction (PCR) assay, which revealed a resistome (blaTEM in Proteus sp., Klebsiella sp., E. coli, and Salmonella sp.) associated with beta-lactam resistance. Also, the KPC and blaOXA genes were found in Klebsiella sp. associated with Carbapenem resistance.

conclusionThese findings raise a significant concern since these genes encode enzymes that provide bacteria with resistance to broad-spectrum antibiotics, including Carbapenem, which are the last resort in combating severe infections. Hence, it is a global health priority to control the spread of these resistant bacteria and to explore strategies for mitigating their negative impact on human health.

Indexed as

BacteriaDrug Resistance, Multiple, BacterialGeologic SedimentsRiversWater MicrobiologyAnti-Bacterial AgentsBacterial Proteinsbeta-LactamasesMicrobial Sensitivity TestsNigeriaAnti-Bacterial AgentsBacterial Proteinsbeta-LactamasescarbapenemaseAntibiotic resistanceBacteriaMakoko communityMultidrug resistance genesWater

Identifiers

PMID41634549
PMCPMC12955059

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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.