Indigenous bacterial diversity and identification in domestic wastewater in small tropical island
سال انتشار: 1405
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 66
فایل این مقاله در 12 صفحه با فرمت PDF قابل دریافت می باشد
- صدور گواهی نمایه سازی
- من نویسنده این مقاله هستم
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
JR_GJESM-12-1_015
تاریخ نمایه سازی: 16 دی 1404
چکیده مقاله:
BACKGROUND AND OBJECTIVES: Domestic wastewater discharge in small island communities is a major environmental and public-health concern due to the absence of centralized treatment and direct release of effluents into coastal waters. These circumstances encourage microbial contamination, nutrient enrichment, and ecological imbalance, heightening the risk of waterborne diseases and adversely affecting coastal ecosystems. In the small islands of Indonesia, the restricted land availability and dependence on nearby waters heighten their susceptibility. rasping the dynamics of local microbial communities is vital to inform sustainable wastewater management and enhance nature-based bioremediation appropriate for resource-limited islands.METHODS: Wastewater samples were collected from three household discharge points on a small tropical island in Indonesia during the dry season. Indigenous bacterial isolates suitable for culturing were obtained via standard microbiological procedures and characterized through morphological, biochemical, and physiological evaluation. Molecular identification was performed using ۱۶S ribosomal ribonucleic acid gene sequencing to achieve species-level resolution and phylogenetic placement. The concentration on culturable bacteria was directed towards native strains with the potential for immediate use in cost-effective, community-oriented treatment systems.FINDINGS: Six bacterial species were identified: Escherichia coli, Pseudomonas aeruginosa, Enterobacter cloacae, Vibrio alginolyticus, Klebsiella pneumoniae, and Bacillus subtilis. These isolates tolerated salinity from ۵ to ۱۰ percent, temperature from ۱۵ to ۴۵ degrees Celsius, and hydrogen-ion concentration from ۶ to ۹, showing adaptability to coastal wastewater. Their metabolic features point to their potential as indigenous microbial resources for nature-based solutions in small island environments. The presence of potentially pathogenic species such as Escherichia coli, Klebsiella pneumoniae, and Vibrio alginolyticus underscores the threat of waterborne disease transmission in communities discharging untreated wastewater, highlighting the importance of developing treatment approaches that are adapted to local needs to ensure public health and environmental quality. CONCLUSI ON: This study provides baseline evidence of the ecological versatility and taxonomic diversity of indigenous bacteria in small-island wastewater. The outcomes advocate for the establishment of consortium-oriented, cost-effective, sustainable bioremediation strategies that correspond with the United Nations Sustainable Development Goal ۶ on Clean Water and Sanitation. These insights highlight the importance of integrating microbial evidence into local wastewater-management policies. They also advocate for research focused on the performance of pollutant-removal effectiveness, the biosafety of potentially pathogenic strains, and long-term ecological monitoring essential for ensuring safe and resilient applications in small island settings.
کلیدواژه ها:
نویسندگان
Sukmawati
Department of Public Health, Faculty of Public Health, Hasanuddin University, Makassar, Indonesia
A.B. Birawida
Department of Public Health, Faculty of Public Health, Hasanuddin University, Makassar, Indonesia
Ambeng
Department of Biology, Faculty of Mathematics and Natural Sciences, Hasanuddin University, Makassar, Indonesia
S.M. Sham
Department of Environmental and Occupational Health, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, Malaysia
Sumarheni
Sydney Pharmacy School, Faculty of Medicine and Health, The University of Sydney, Australia
مراجع و منابع این مقاله:
لیست زیر مراجع و منابع استفاده شده در این مقاله را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود مقاله لینک شده اند :