2017
DOI: 10.1016/j.watres.2017.04.027
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Bacteroidales markers for microbial source tracking in Southeast Asia

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Cited by 53 publications
(52 citation statements)
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“…A similar result was obtained in the previous study while targeting functional genes, gyr B (Lee and Lee ) and Bacteroides thetaiotaomicron (Nshimyimana et al . ).…”
Section: Discussionmentioning
confidence: 97%
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“…A similar result was obtained in the previous study while targeting functional genes, gyr B (Lee and Lee ) and Bacteroides thetaiotaomicron (Nshimyimana et al . ).…”
Section: Discussionmentioning
confidence: 97%
“…), and a study done in Singapore (Nshimyimana et al . ). In addition, the findings of an inter‐laboratory comparison study (Boehm et al .…”
Section: Methodsmentioning
confidence: 97%
“…This communicates the crucial detail that although the hCYTB484 assay can exhibit low levels of false-positives, these false-positives can be avoided by using the aLoD or aLLoQ as the threshold, with the aLLoQ offering a very high specificity performance. Assays targeting the HF183 human-associated Bacteroides sequences have been shown to exhibit some of the weaknesses of the microbial DNA based markers as discussed in the introduction (6, 8, 10, 11). Considering these findings, researchers have proposed that it may be beneficial to utilize HF183 markers in conjunction with other markers to address its weaknesses in the so-called MST “toolbox” approach.…”
Section: Discussionmentioning
confidence: 99%
“…Within the microbial source tracking (MST) field, the development of an ideal human-specific, culture- and library-independent marker has been a goal for many research efforts for a variety of reasons—notably, its potential as a relatively rapid and broadly-applicable method not requiring the extent of local validation of the host and marker relationship that is required in library-dependent methods (1–4). However, MST marker studies have demonstrated variable specificity (true negative detection rate, calculated by the number of true negatives divided by the sum of true negatives and false positives) and sensitivity (true positive detection rate, calculated by the number of true positives divided by the sum of true positives and false negatives) performances for human-associated microbial DNA markers across varying geographies (1, 58), possibly influenced by variations in the human gut microbiome (9) and human-animal interactions (5, 6). Microbial DNA markers have also exhibited variable performance across different scales of fecal pollution: high sensitivity in wastewater collected from sewage networks but lower sensitivity in human fecal samples (10).…”
Section: Introductionmentioning
confidence: 99%
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