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Microbial Source Tracking - PubMed

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Last Updated: 15 June 2022

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The microbial diversity in industrial effluents makes high-throughput sequencing-based source tracking of the effluents possible.

We obtained 28 sewage samples from four factories in Shenzhen, China, in order to investigate industrial effluents' microbial diversity and, on this basis, to determine the possibility of monitoring industrial effluents in sewer networks based on sequencing results, and determined the microbial compositions. " This review supplemented our knowledge of microbial diversity in industrial effluents, established the benefits of industrial effluent tracking based on sequencing results, and suggested an alternative technology solution for environmental monitoring and management.

Source link: https://doi.org/10.1016/j.envres.2022.113640


Ontology-aware deep learning enables ultrafast and interpretable source tracking among sub-million microbial community samples from hundreds of niches.

"Here, we introduce a deep learning algorithm based on the Ontology-aware Neural Network approach, ONN4MST, for large-scale source tracking. " Overall, this report represents the first model-based method for source tracking among sub-million microbial community samples from hundreds of niches, with exceptional speed, precision, and interpretability. ".

Source link: https://doi.org/10.1186/s13073-022-01047-5


Application of fast expectation-maximization microbial source tracking to discern fecal contamination in rivers exposed to low fecal inputs.

"Community-based microbial source monitoring can be used to determine fecal contamination from various sources in the aquatic environment. " Here, we compared SourceTracker and Fast Expectation-Maximization Microbial Source Tracking results on environmental water bodies exposed to low fecal contamination, as well as the remediation of fecal pollution in the watershed with community-based MST. Our results revealed that FEAST overall outperformed SourceTracker in terms of sensitivity and stability, and was able to detect multi-source fecal contamination in ambient water bodies exposed to low fecal inputs. ".

Source link: https://doi.org/10.1007/s12275-022-1651-9


Evaluation of crAssphage as a human-specific microbial source-tracking marker in the Republic of Korea.

"The aim of this research was to determine the presence and presence of the human-specific MST marker crAssphage with PCR and RT-PCR assays in human and animal feces in Korea. " In 94 human feces samples and 56 animal feces samples, the prevalence of crAssphage was found. In human feces, crAssphage is sufficiently abundant in human feces, despite its high frequency range from 4. 26 to 8. 25 log gene copies / ng. This research concluded that the crAssphage was a unique and common MST marker used to monitor human fecal contamination in Korea in conclusion. ".

Source link: https://doi.org/10.1007/s10661-022-09918-5

* Please keep in mind that all text is summarized by machine, we do not bear any responsibility, and you should always check original source before taking any actions

* Please keep in mind that all text is summarized by machine, we do not bear any responsibility, and you should always check original source before taking any actions