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      Bacteroidales markers for microbial source tracking in Southeast Asia.

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          Abstract

          The island city country of Singapore served as a model to validate the use of host-associated Bacteroidales 16S rRNA gene marker assays for identifying sources of fecal pollution in the urban tropical environment of Southeast Asia. A total of 295 samples were collected from sewage, humans, domesticated animals (cats, dogs, rabbits and chicken), and wild animals (birds, monkeys and wild boars). Samples were analyzed by real time PCR using five human-associated assays (HF183-SYBR Green, HF183, BacHum, BacH and B. thetaiotaomicron α-1-6, mannanase (B. theta), one canine-associated assay (BacCan), and a total Bacteroidales assay (BacUni). The best performing human-associated assay was B. theta with a diagnostic sensitivity of 69% and 100% in human stool and sewage, respectively, and a specificity of 98%. BacHum achieved the second highest sensitivity and specificity for human stool at 65% and 91%, respectively. The canine-associated Bacteroidales assay (BacCan) had a sensitivity and specificity above 80% and was validated for tracking fecal pollution from dogs. BacUni demonstrated a sensitivity and specificity of 100% for mammals, thus BacUni was confirmed for total Bacteroidales detection in the region. We showed for the first time that rabbit fecal samples cross-react with human-associated assays (HF183-SYBR Green, HF183, BacHum and BacH) and with BacCan. Our findings regarding the best performing human-associated assays differ from those reported in Bangladesh and India, which are geographically close to Southeast Asia, and where HF183 and BacHum were the preferred assays, respectively.

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          Author and article information

          Journal
          Water Res.
          Water research
          Elsevier BV
          1879-2448
          0043-1354
          Jul 01 2017
          : 118
          Affiliations
          [1 ] School of Civil and Environmental Engineering, Nanyang Technological University (NTU), 50 Nanyang Avenue, Singapore, 639798, Singapore; Singapore Centre for Environmental Life Sciences Engineering, NTU, 60 Nanyang Dr., Singapore, 637551, Singapore; Department of Civil and Environmental Engineering, Massachusetts Institute of Technology (MIT), 77 Massachusetts Avenue, Cambridge, MA 02139, USA; Centre for Environmental Sensing and Modeling, Singapore-MIT Alliance for Research and Technology, 1 Create Way, Singapore, 138602, Singapore.
          [2 ] Singapore Centre for Environmental Life Sciences Engineering, NTU, 60 Nanyang Dr., Singapore, 637551, Singapore.
          [3 ] Department of Civil and Environmental Engineering, Massachusetts Institute of Technology (MIT), 77 Massachusetts Avenue, Cambridge, MA 02139, USA; Centre for Environmental Sensing and Modeling, Singapore-MIT Alliance for Research and Technology, 1 Create Way, Singapore, 138602, Singapore.
          [4 ] School of Civil and Environmental Engineering, Nanyang Technological University (NTU), 50 Nanyang Avenue, Singapore, 639798, Singapore; Singapore Centre for Environmental Life Sciences Engineering, NTU, 60 Nanyang Dr., Singapore, 637551, Singapore. Electronic address: swuertz@ntu.edu.sg.
          Article
          S0043-1354(17)30287-7
          10.1016/j.watres.2017.04.027
          28433694
          ea9ebd58-05e0-4b66-9e0a-447866c2ae71
          History

          Bacteroidales,Fecal pollution,Microbial source tracking,Quantitative PCR,Singapore,Southeast Asia

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