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Related Experiment Video

Updated: Oct 23, 2025

Microbiota of Attine Ants' Gardens: Visualizing a Microbial Landscape by Scanning Electron Microscopy
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Exploring Microbiome Functional Dynamics through Space and Time with Trait-Based Theory.

Leonora S Bittleston1, Zachary B Freedman2, Jessica R Bernardin1

  • 1Department of Biological Sciences, Boise State Universitygrid.184764.8, Boise, Idaho, USA.

Msystems
|August 24, 2021
PubMed
Summary
This summary is machine-generated.

Microbiome research can predict ecosystem functions by applying the yield-acquisition-stress (Y-A-S) framework to microbial life strategies. This approach helps understand how microbiomes adapt to changing resources and stress across diverse environments.

Keywords:
Y-A-Sbiogeographyecosystem functionmicrobiomepitcher plantsuccessiontrait

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Area of Science:

  • Microbial Ecology
  • Ecosystem Science
  • Trait-Based Ecology

Background:

  • Microbiomes are crucial for host health and ecosystem nutrient cycling.
  • Predicting microbial functions requires integrating ecological theory with trait-based approaches.
  • The yield-acquisition-stress (Y-A-S) framework describes microbial strategies across resource and stress gradients.

Purpose of the Study:

  • To extend the Y-A-S framework to predict microbiome dynamics during succession and across biogeographic gradients.
  • To establish generalizable rules for microbiome and function responses to environmental factors.
  • To demonstrate the framework's utility using pitcher plant microbiomes.

Main Methods:

  • Application of the Y-A-S framework to microbiome research.
  • Analysis of microbial successional trajectories.
  • Investigation across biogeographic gradients in Sarracenia purpurea.

Main Results:

  • The Y-A-S framework can be extended to predict microbiome responses to environmental change.
  • Microbiome composition and function shift predictably across space and time.
  • The study provides a robust model for understanding microbiome dynamics.

Conclusions:

  • Extending the Y-A-S framework offers generalizable insights into microbiome assembly and function.
  • Understanding microbial life history strategies is key to predicting ecosystem responses to stress and resource availability.
  • The pitcher plant model system effectively demonstrates the framework's predictive power.