ArticleJournal of microbiology (Seoul, Korea)2022
Application of fast expectation-maximization microbial source tracking to discern fecal contamination in rivers exposed to low fecal inputs.
Article in Journal of microbiology (Seoul, Korea), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
6 citing papers in PubMed, 10 citations in OpenAlex.
- Maternal-to-neonatal microbial transmission and impact of prenatal probiotics on neonatal gut development.Journal of translational medicine · 2025Trial
- Novel Microbial Engraftment Trajectories Following Microbiota Transplant Therapy in Ulcerative Colitis.Journal of Crohn's & colitis · 2025Trial
- A Practical Framework for Environmental Antibiotic Resistance Monitoring in Freshwater Ecosystems.Antibiotics (Basel, Switzerland) · 2025Review
- SourceApp: A Novel Metagenomic Source Tracking Tool that can Distinguish between Fecal Microbiomes Using Genome-To-Source Associations Benchmarked Against Mixed Input Spike-In Mesocosms.Environmental science & technology · 2025Article
- Computational methods and challenges in analyzing intratumoral microbiome data.Trends in microbiology · 2023Review
- Response and recovery mechanisms of river microorganisms to gradient concentrations of estrogen.Frontiers in microbiology · 2023Article
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Community-based microbial source tracking (MST) can be used to determine fecal contamination from multiple sources in the aquatic environment. However, there is little scientific information on its application potential in water environmental management. Here, we compared SourceTracker and Fast Expectation-maximization Microbial Source Tracking (FEAST) performances on environmental water bodies exposed to low fecal pollution and evaluated treatment effects of fecal pollution in the watershed utilizing community-based MST. Our results showed that FEAST overall outperformed SourceTracker in sensitivity and stability, and was able to discern multi-source fecal contamination (mainly chicken feces) in ambient water bodies exposed to low fecal inputs. Consistent with our previous PCR/qPCR-based MST assays, FEAST analysis indicates that fecal pollution has been significantly mitigated through comprehensive environmental treatment by the local government. This study suggests that FEAST can be a powerful tool for accurately evaluating the contribution of multi-source fecal contamination in environmental water, facilitating environmental management.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.