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Tick Microbiome Characterization by Next-Generation 16S rRNA Amplicon Sequencing
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Priority effects in microbiome assembly.

Reena Debray1, Robin A Herbert2,3, Alexander L Jaffe4

  • 1Department of Integrative Biology, University of California, Berkeley, Berkeley, CA, USA. rrdebray@berkeley.edu.

Nature Reviews. Microbiology
|August 28, 2021
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Summary
This summary is machine-generated.

Microbial communities are shaped by historical events, like the arrival order of species (priority effects). Understanding these effects is key to managing microbiomes for ecological function and health.

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Area of Science:

  • Microbiology
  • Ecology
  • Systems Biology

Background:

  • Next-generation sequencing enables extensive microbiome analysis.
  • Deterministic factors of community composition are known, but historical contingency is not.
  • Priority effects, where arrival order influences species establishment, are poorly understood in microbial systems.

Purpose of the Study:

  • To review mechanisms and evidence of priority effects in microbial communities.
  • To describe methods for testing and predicting priority effects.
  • To discuss implications for microbiome management.

Main Methods:

  • Literature review of priority effect mechanisms and evidence.
  • Description of approaches for testing and prediction.
  • Re-analysis of public microbiome datasets (plant and animal).

Main Results:

  • Priority effects are important across diverse environments (gut, soil, oceans, etc.).
  • Shared principles of eco-evolutionary dynamics and scale emerge.
  • Predicting arrival order impacts is crucial for microbiome management.

Conclusions:

  • Priority effects significantly influence microbial community assembly and function.
  • Management of microbiomes requires understanding historical contingency.
  • Challenges remain in measuring priority effects in complex microbial systems.