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dc.contributor.author
Nshimyimana, Jean Pierre  
dc.contributor.author
Cruz, Mercedes Cecilia  
dc.contributor.author
Thompson, R. Janelle  
dc.contributor.author
Wuertz, Stefan  
dc.date.available
2018-12-06T18:26:13Z  
dc.date.issued
2017-04  
dc.identifier.citation
Nshimyimana, Jean Pierre; Cruz, Mercedes Cecilia; Thompson, R. Janelle; Wuertz, Stefan; Bacteroidales markers for microbial source tracking in Southeast Asia; Pergamon-Elsevier Science Ltd; Water Research; 118; 4-2017; 239-248  
dc.identifier.issn
0043-1354  
dc.identifier.uri
http://hdl.handle.net/11336/66005  
dc.description.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.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
Pergamon-Elsevier Science Ltd  
dc.rights
info:eu-repo/semantics/openAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/  
dc.subject
Bacteroidales  
dc.subject
Fecal Pollution  
dc.subject
Microbial Source Tracking  
dc.subject
Quantitative Pcr  
dc.subject
Singapore  
dc.subject
Southeast Asia  
dc.subject.classification
Ingeniería Medioambiental y Geológica, Geotécnicas  
dc.subject.classification
Ingeniería del Medio Ambiente  
dc.subject.classification
INGENIERÍAS Y TECNOLOGÍAS  
dc.title
Bacteroidales markers for microbial source tracking in Southeast Asia  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2018-11-02T15:13:55Z  
dc.journal.volume
118  
dc.journal.pagination
239-248  
dc.journal.pais
Reino Unido  
dc.journal.ciudad
Oxford  
dc.description.fil
Fil: Nshimyimana, Jean Pierre. Nanyang Technological University; Singapur. Singapore Centre for Environmental Life Sciences Engineering; Singapur. Massachusetts Institute of Technology; Estados Unidos. Singapore-MIT Alliance for Research and Technology; Singapur  
dc.description.fil
Fil: Cruz, Mercedes Cecilia. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Singapore Centre for Environmental Life Sciences Engineering; Singapur  
dc.description.fil
Fil: Thompson, R. Janelle. Massachusetts Institute of Technology; Estados Unidos. Singapore-MIT Alliance for Research and Technology; Singapur  
dc.description.fil
Fil: Wuertz, Stefan. Nanyang Technological University; Singapur. Singapore Centre for Environmental Life Sciences Engineering; Singapur  
dc.journal.title
Water Research  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/http://linkinghub.elsevier.com/retrieve/pii/S0043135417302877  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/https://dx.doi.org/10.1016/j.watres.2017.04.027