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Cost-effective Method for Microbial Source Tracking Using Specific Human and Animal Viruses
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Ecological dynamics imposes fundamental challenges in community-based microbial source tracking.

Xu-Wen Wang1, Lu Wu2, Lei Dai2,3

  • 1Channing Division of Network Medicine, Department of Medicine Brigham and Women's Hospital and Harvard Medical School Boston Massachusetts USA.

Imeta
|June 13, 2024
PubMed
Summary
This summary is machine-generated.

Microbial source tracking (MST) methods struggle when ecological dynamics like microbial interactions are present. Existing computational tools fail to accurately identify microbial sources in complex community assembly scenarios.

Keywords:
microbial interactionsmicrobial source trackingpriority effects

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Area of Science:

  • Microbiology
  • Ecology
  • Computational Biology

Background:

  • Microbial source tracking (MST) quantifies environmental contributions to microbial communities, vital for pollution control, public health, and forensics.
  • Community-based MST methods, utilizing next-generation sequencing, are widely applied but often overlook microbial interactions and priority effects.

Purpose of the Study:

  • To evaluate the performance of existing microbial source tracking (MST) solvers in the presence of ecological dynamics.
  • To demonstrate the limitations of current MST solvers when microbial interactions or priority effects influence community assembly.

Main Methods:

  • Revisiting the performance of representative MST solvers on simulated and real-world datasets.
  • Analyzing fecal microbiota transplantation data to assess donor identification accuracy.
  • Conducting community coalescence experiments to validate MST solver performance.

Main Results:

  • Existing MST solvers are impractical and mathematically unsolvable when microbial interactions or priority effects are present.
  • State-of-the-art MST solvers failed to identify microbial donors in fecal microbiota transplantation studies.
  • Community coalescence experiments showed significant failure of MST solvers in identifying microbial sources for sinks.

Conclusions:

  • Ecological dynamics, specifically microbial interactions and priority effects, pose fundamental challenges to microbial source tracking.
  • Results from current MST solvers should be interpreted with caution due to their limitations in accounting for ecological processes.