Microbial Source Tracking - Europe PMC

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

"We collected 28 sewage samples from four factories in Shenzhen, China, in order to determine microbial diversity in industrial effluents and, on this basis, to determine the possibility of monitoring industrial effluents in sewer networks based on sequencing results, and then sequenced the 16S RNA genes to determine the microbial compositions. " "Microbial composition in samples from different factories varied in the lab's were found to differing degrees, as well as identifying microbial markers differentiating effluents from these factories, which can be used to track the effluent sources. ".

Source link: https://europepmc.org/article/MED/35688222

Ecological Dynamics Imposes Fundamental Challenges in Microbial Source Tracking

"ABSTRACT DATA OVERSTRACT MATTER ABSTRACT Quantifying the contributions of potential environmental sources to a particular microbial community is a classic microbiology challenge, as microbial source tracking focuses. Solving the MST epidemic will not only help us figure out how microbial populations were developed, but also have far-reaching applications in pollution control, public health, and forensics. However, those MST solvers neglect microbial interactions and priority effects in microbial communities. We have compelling evidence that solving the MST problem with existing MST solvers is impractical, particularly when cultural dynamics plays a role in community assembly. In particular, we have shown that the presence of either microbial interactions or priority effects would render the MST problem mathematically unsolvable for any MST solver. Ecological determinants, not human behavior, pose fundamental barriers to solving the MST problem using computational methods, according to our findings.

Source link: https://europepmc.org/article/PPR/PPR496967

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

"The taxonomic organization of a microbial community sample is highly habitat-specific, facilitating source tracking and allowing identification of the niches where samples originate. " Overall, this research represents the first model-based approach for source tracking among sub-million microbial community samples from hundreds of niches, with outstanding speed, accuracy, and interpretability. ".

Source link: https://europepmc.org/article/MED/35473941

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

"Community-based microbial source tracking 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 and determined the treatment of fecal pollution in the watershed using community-based MST. "Our findings showed that FEAST overall outperformed SourceTracker in terms of accuracy and stability, and was able to detect multi-source contamination in ambient water bodies exposed to low fecal inputs. ".

Source link: https://europepmc.org/article/MED/35437628

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 specificity and abundance 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, crAssphage was discovered. Given the high prevalence of 4. 26 to 8. 25 log gene copies/ng in human feces, the quantitative analysis revealed that crAssphage is sufficiently abundant in human feces. This paper found the crAssphage as a unique and abundant MST marker for determining human fecal contamination in Korea.

Source link: https://europepmc.org/article/MED/35426058

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