Scholarlink

<p>Fecal contamination in urban marine environments poses an alarming global threat to public health, ecosystems, and economies. Traditional fecal indicator bacteria (FIB) methods, while accessible, suffer from delayed results and inability to differentiate pollution sources. To overcome this, microbial source tracking (MST) employs molecular techniques like qPCR to rapidly identify specific origins (human, animal) using genetic markers. Complementary chemical source tracking utilizes distinct chemical signatures (e.g., sterols and pharmaceuticals) for detection, offering low limits and temporal stability. The burgeoning fields of bioinformatics and cheminformatics are crucial for processing the complex, high-volume data generated by these advanced methods. Bioinformatics tools analyze metagenomic data for microbial community profiling and source attribution, while cheminformatics automates the acquisition of chemical-specific data for environmental exposure modeling, enhancing efficiency and transparency. An integrated pragmatic approach leverages these capabilities with Geographic Information Systems (GIS) and remote sensing. GIS serves as a unifying platform, integrating diverse spatial, temporal, sensor, and analytical data to enable comprehensive spatial analysis, real-time monitoring, and predictive modeling of fecal plumes. Hence, this review is aimed toward this holistic framework, which is essential for effective, targeted management strategies to safeguard water quality.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Integrated pragmatic approach of bioinformatics and cheminformatics for tracking the fecal pollution in an urban marine environment

  • 期刊论文

  • 发表日期：

    2026年5月18日

查看全文
  • Abhay B. Fulke,
  • Siddant Ratanpal

摘要

Fecal contamination in urban marine environments poses an alarming global threat to public health, ecosystems, and economies. Traditional fecal indicator bacteria (FIB) methods, while accessible, suffer from delayed results and inability to differentiate pollution sources. To overcome this, microbial source tracking (MST) employs molecular techniques like qPCR to rapidly identify specific origins (human, animal) using genetic markers. Complementary chemical source tracking utilizes distinct chemical signatures (e.g., sterols and pharmaceuticals) for detection, offering low limits and temporal stability. The burgeoning fields of bioinformatics and cheminformatics are crucial for processing the complex, high-volume data generated by these advanced methods. Bioinformatics tools analyze metagenomic data for microbial community profiling and source attribution, while cheminformatics automates the acquisition of chemical-specific data for environmental exposure modeling, enhancing efficiency and transparency. An integrated pragmatic approach leverages these capabilities with Geographic Information Systems (GIS) and remote sensing. GIS serves as a unifying platform, integrating diverse spatial, temporal, sensor, and analytical data to enable comprehensive spatial analysis, real-time monitoring, and predictive modeling of fecal plumes. Hence, this review is aimed toward this holistic framework, which is essential for effective, targeted management strategies to safeguard water quality.