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Related Experiment Video

Updated: Jun 14, 2025

Microbiota of Attine Ants' Gardens: Visualizing a Microbial Landscape by Scanning Electron Microscopy

Microbiota of Attine Ants' Gardens: Visualizing a Microbial Landscape by Scanning Electron Microscopy

Published on: October 4, 2024

A mechanistic framework for complex microbe-host symbioses.

Gui Araujo¹, José M Montoya², Torsten Thomas³

¹Department of Biosciences, Swansea University, Swansea, SA2 8PP, UK.

Trends in Microbiology

|September 6, 2024

Summary

This summary is machine-generated.

Microbiome research reveals complex microbial communities essential for host health. This study explores ecological and evolutionary mechanisms driving microbiome diversity and assembly, proposing a framework for understanding these symbioses.

Keywords:

complex networks eco-evolution metacommunity model selection population dynamics symbiosis

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Investigation of Microbial Cooperation via Imaging Mass Spectrometry Analysis of Bacterial Colonies Grown on Agar and in Tissue During Infection

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Published on: November 18, 2022

Area of Science:

Microbiology
Ecology
Evolutionary Biology
Systems Biology

Background:

Multicellular organisms host diverse microbial communities (microbiome) crucial for host and microbial well-being.
Recent studies highlight microbiome complexity and diversity, with identified drivers, yet the interplay of ecological and evolutionary forces remains unclear.

Purpose of the Study:

To explore and summarize ecological and evolutionary mechanisms influencing microbiome complexity and diversity.
To propose a theoretical framework for classifying these mechanisms and building host-microbiome models.
To establish a foundation for understanding the combined effects of ecology and evolution on symbiotic microbial community assembly.

Main Methods:

Literature review and synthesis of ecological and evolutionary mechanisms.
Development of a theoretical framework to classify these mechanisms.
Conceptualization of mechanistic host-microbiome models.

Main Results:

Identified a suite of ecological and evolutionary mechanisms relevant to microbiome complexity.
Proposed that microbiome assembly is a dynamic interplay of ecology and evolution across spatio-temporal scales.
Developed a framework to link theoretical mechanisms to empirical microbiome patterns.

Conclusions:

Microbiome assembly is a complex process shaped by both ecological and evolutionary dynamics.
A unified theoretical framework is needed to understand the interplay of these forces.
Further research using mechanistic models can advance our understanding of host-microbiome symbioses.