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<p>Physicochemical and bacterial contamination pose a significant threat to drinking water quality in Bangladesh, requiring comprehensive analysis. This study investigates the physicochemical and metagenomic quality of drinking water from one of four water treatment plants (WTPs) in Kushtia Municipality, Bangladesh. Water samples (n = 3) from untreated, treated, and supplied water were collected between March 1 and 7, 2025. Thirteen physicochemical parameters were analyzed using traditional methods, while bacterial load was assessed using Plate Count Agar. Microbial diversity was analyzed through metagenomic sequencing of DNA extracted using the DNeasy PowerWater Kit, targeting the 16S rRNA gene (V3-V4 region) on the Illumina MiSeq platform. Alpha and beta diversity were evaluated with Chao1, Shannon, and Simpson indices, and taxonomic and pathway analysis were performed on the Kaiju and Nephele platforms. Water quality was assessed using treatment efficiency metrics, the Water Quality Index (WQI), and the Nemerow Pollution Index (NPI). Results reveal that only three of the physicochemical parameters meet the water quality standards of Bangladesh. The WTP's cumulative efficiency metric was found to be 30.76%. The WQI indicated that all water samples were unfit for drinking. The NPI showed that eight out of thirteen physicochemical parameters significantly contribute to poor water quality. Microbial evaluations revealed high bacterial levels in untreated and supplied water samples. Alpha diversity analysis, using Shannon and Simpson indices, showed no significant differences in bacterial abundance across water types. Beta diversity analysis indicated minimal dissimilarity. Functional profiling suggested the presence of antibiotic resistance–associated pathways, with predicted beta-lactam resistance representing 24.1% in treated water and 25.0% in supplied water. The dominant phyla include <i>Proteobacteria</i> (38% in untreated, 39% in treated, and 42% in supplied). About 75%, 83%, and 67% of the identified bacterial species were found to be pathogenic, antibiotic-resistant, and biofilm-forming, respectively, while 58% were classified as opportunistic pathogens. These results underscore the need for improved water treatment practices and more robust monitoring systems to ensure the population can access safe drinking water.</p>

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Physicochemical and metagenomic characterization of drinking water: Public health implications in Kushtia Municipality, Bangladesh

  • 期刊论文

  • 发表日期：

    2026年2月16日

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  • Anik Hossain,
  • Inzamul Haque,
  • Abdullah Al Mamun,
  • Sheikh Md Selim Al-Din,
  • Hosne Ara,
  • Taposh Kumar Das,
  • M. Mizanur Rahman

摘要

Physicochemical and bacterial contamination pose a significant threat to drinking water quality in Bangladesh, requiring comprehensive analysis. This study investigates the physicochemical and metagenomic quality of drinking water from one of four water treatment plants (WTPs) in Kushtia Municipality, Bangladesh. Water samples (n = 3) from untreated, treated, and supplied water were collected between March 1 and 7, 2025. Thirteen physicochemical parameters were analyzed using traditional methods, while bacterial load was assessed using Plate Count Agar. Microbial diversity was analyzed through metagenomic sequencing of DNA extracted using the DNeasy PowerWater Kit, targeting the 16S rRNA gene (V3-V4 region) on the Illumina MiSeq platform. Alpha and beta diversity were evaluated with Chao1, Shannon, and Simpson indices, and taxonomic and pathway analysis were performed on the Kaiju and Nephele platforms. Water quality was assessed using treatment efficiency metrics, the Water Quality Index (WQI), and the Nemerow Pollution Index (NPI). Results reveal that only three of the physicochemical parameters meet the water quality standards of Bangladesh. The WTP's cumulative efficiency metric was found to be 30.76%. The WQI indicated that all water samples were unfit for drinking. The NPI showed that eight out of thirteen physicochemical parameters significantly contribute to poor water quality. Microbial evaluations revealed high bacterial levels in untreated and supplied water samples. Alpha diversity analysis, using Shannon and Simpson indices, showed no significant differences in bacterial abundance across water types. Beta diversity analysis indicated minimal dissimilarity. Functional profiling suggested the presence of antibiotic resistance–associated pathways, with predicted beta-lactam resistance representing 24.1% in treated water and 25.0% in supplied water. The dominant phyla include Proteobacteria (38% in untreated, 39% in treated, and 42% in supplied). About 75%, 83%, and 67% of the identified bacterial species were found to be pathogenic, antibiotic-resistant, and biofilm-forming, respectively, while 58% were classified as opportunistic pathogens. These results underscore the need for improved water treatment practices and more robust monitoring systems to ensure the population can access safe drinking water.