ArticleiMeta2023
Ecological dynamics imposes fundamental challenges in community-based microbial source tracking.
Article in iMeta, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 9 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
9 citing papers in PubMed.
- Novel Microbial Engraftment Trajectories Following Microbiota Transplant Therapy in Ulcerative Colitis.Journal of Crohn's & colitis · 2025Trial
- Longitudinal analysis of stowaway microorganisms aboard modules and cargo spacecraft of the Chinese Space Station.Microbiome · 2026Article
- Microbial community assembly in the fermentation of cigar tobacco leaves.Frontiers in bioengineering and biotechnology · 2026Review
- A Practical Framework for Environmental Antibiotic Resistance Monitoring in Freshwater Ecosystems.Antibiotics (Basel, Switzerland) · 2025Review
- Citywide metagenomic surveillance of food centres reveals local microbial signatures and antibiotic resistance gene enrichment.npj antimicrobials and resistance · 2025Article
- Interplay of ecological processes modulates microbial community reassembly following coalescence.The ISME journal · 2025Article
- Towards more accurate microbial source tracking via non-negative matrix factorization (NMF).Bioinformatics (Oxford, England) · 2024Article
- Article
- Ecological dynamics imposes fundamental challenges in community-based microbial source tracking.iMeta · 2023Article
Corrections and comments
- Erratum issued
Authors and funding
7 authors.
Funding
Abstract
Quantifying the contributions of possible environmental sources ("sources") to a specific microbial community ("sink") is a classical problem in microbiology known as microbial source tracking (MST). Solving the MST problem will not only help us understand how microbial communities were formed, but also have far-reaching applications in pollution control, public health, and forensics. MST methods generally fall into two categories: target-based methods (focusing on the detection of source-specific indicator species or chemicals); and community-based methods (using community structure to measure similarity between sink samples and potential source environments). As next-generation sequencing becomes a standard community-assessment method in microbiology, numerous community-based computational methods, referred to as MST solvers hereafter have been developed and applied to various real datasets to demonstrate their utility across different contexts. Yet, those MST solvers do not consider microbial interactions and priority effects in microbial communities. Here, we revisit the performance of several representative MST solvers. We show compelling evidence that solving the MST problem using existing MST solvers is impractical when ecological dynamics plays a role in community assembly. In particular, we clearly demonstrate that the presence of either microbial interactions or priority effects will render the MST problem mathematically unsolvable for MST solvers. We further analyze data from fecal microbiota transplantation studies, finding that the state-of-the-art MST solvers fail to identify donors for most of the recipients. Finally, we perform community coalescence experiments to demonstrate that the state-of-the-art MST solvers fail to identify the sources for most of the sinks. Our findings suggest that ecological dynamics imposes fundamental challenges in MST. Interpretation of results of existing MST solvers should be done cautiously.
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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.