ISSN: 0973-7510

E-ISSN: 2581-690X

Research Article | Open Access
Himanshu Gupta1 , Smit Joshi2, Shamshad Ather3, Harapriya Kar4 and Mansee Thakur1
1Department of Medical Biotechnology, MGM School of Biomedical Sciences, Mahatma Gandhi Mission Institute of Health Sciences, Navi Mumbai, Maharashtra, India.
2Department of Medical Genetics, MGM School of Biomedical Sciences, Mahatma Gandhi Mission Institute of Health Sciences, Navi Mumbai, Maharashtra, India.
3Central Integrative Research Laboratory, MGM Medical College, Nerul West, Navi Mumbai, Maharashtra, India.
4Department of Medical Microbiology, MGM Medical College Nerul, Navi Mumbai, Maharashtra, India.
Article Number: 11254 | © The Author(s). 2026
J Pure Appl Microbiol. 2026;20(3):2640-2652. https://doi.org/10.22207/JPAM.20.3.58
Received: 19 December 2025 | Accepted: 01 August 2026 | Published online: 03 September 2026
Issue online: September 2026
Abstract

Monitoring drinking water quality is essential for protecting public health, particularly in regions dependent on surface water reservoirs. Morbe Dam is the primary source of potable water for Navi Mumbai and surrounding areas. Conventional culture-based methods may not reliably distinguish closely related environmental bacteria, highlighting the need for molecular confirmation during microbial surveillance. Water samples were collected from multiple locations within Morbe Dam and analysed using conventional microbiological methods, including selective culture, Gram staining, and biochemical characterization. Presumptive Salmonella isolates were further identified by 16S rRNA gene amplification, sequencing, and BLAST analysis. Antimicrobial susceptibility testing was performed using the Kirby–Bauer disk diffusion method, followed by MIC determination for selected antibiotics. Conventional culture and biochemical tests yielded isolates presumptively identified as Salmonella spp. However, 16S rRNA gene sequencing did not confirm Salmonella. Instead, BLAST analysis of the partial 16S rRNA gene sequence revealed approximately 96% sequence similarity to Ralstonia mannitolilytica, indicating that the isolate belonged to the genus Ralstonia and was most closely related to R. mannitolilytica. The sequence was deposited in GenBank under Accession No. MW647908. Antimicrobial susceptibility testing demonstrated resistance to multiple β-lactam antibiotics. No inhibition was observed for amoxicillin/clavulanic acid and cefazolin at concentrations up to 256 µg/mL, while MICs for ceftazidime and cefuroxime were 16 µg/mL and 8 µg/mL, respectively. This study demonstrates that reliance on phenotypic methods alone may lead to misidentification of environmental bacterial isolates. Molecular analysis demonstrated that the isolate belonged to the genus Ralstonia and was most closely related to Ralstonia mannitolilytica, rather than Salmonella. These findings support the integration of molecular diagnostics into routine environmental water surveillance and emphasize the importance of monitoring antimicrobial-resistant opportunistic pathogens in potable water sources.

Keywords

Water Microbiology, Ralstonia mannitolilytica, Antibacterial resistance, Environmental Monitoring, Potable Water, Polymerase Chain Reaction, 16S rRNA Sequencing, Public Health

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© The Author(s) 2026. Open Access. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License which permits unrestricted use, sharing, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.