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      Validation and field testing of library-independent microbial source tracking methods in the Gulf of Mexico

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          Abstract

          Water quality is frequently impacted by microbial pollution from human and animal feces. Microbial source tracking (MST) can identify dominant pollution sources and improve assessment of health risk compared to indicator bacteria alone. This study aims to standardize and validate MST methods across laboratories in coastal Gulf of Mexico states. Three laboratories evaluated library-independent MST methods for human sewage detection via conventional PCR: (1) human-associated Bacteroidales, (2) human polyomaviruses (HPyVs), and (3) Methanobrevibacter smithii. All methods detected targets in human sewage seeded into buffer, freshwater or marine water (100% sensitivity). The limit of detection (LOD) for human sewage was lowest for the Bacteroidales assay (10(-5)-10(-6) dilution). LODs for HPyVs and M. smithii assays were similar to each other (10(-3)-10(-4)), but were higher than Bacteroidales. The HPyVs assay was 100% specific, showing no cross-reactivity to dog, cow, cat, bird, or wild animal feces among >300 samples from three Gulf Coast regions. The human Bacteroidales assay was 96% specific, but cross-reacted with 10% of dog and some chicken samples. The M. smithii assay was 98% specific with limited cross-reactivity with cow, dog and seagull samples. An experts' workshop concluded that all methods showed sufficient accuracy and reliability to move forward. SOPs will be distributed to collaborating laboratories for further inter-laboratory comparison, and field validation will occur in year 2.

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          Author and article information

          Journal
          Water Research
          Water Research
          Elsevier BV
          00431354
          November 2009
          November 2009
          : 43
          : 19
          : 4812-4819
          Article
          10.1016/j.watres.2009.06.029
          4d9b57f0-c7a4-46a9-a2df-db17a2ca2e24
          © 2009

          https://www.elsevier.com/tdm/userlicense/1.0/

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