Related Experiment Video
Updated: Jan 29, 2026

09:23
Use of the Invertebrate Galleria mellonella as an Infection Model to Study the Mycobacterium tuberculosis Complex
Published on: June 30, 2019
12.6K
Host-Microbe Coevolution: Applying Evidence from Model Systems to Complex Marine Invertebrate Holobionts
Paul A O'Brien1,2,3, Nicole S Webster2,3,4, David J Miller5,6
1College of Science and Engineering, James Cook University, Townsville, QLD, Australia.
Mbio
|February 7, 2019
Summary
Marine invertebrates host complex microbial communities. This study proposes using coevolutionary evidence to understand these microbiomes, focusing on host-microbe interactions and functions for reef health.
Area of Science:
- Marine Biology
- Microbial Ecology
- Evolutionary Biology
Background:
- Marine invertebrates harbor diverse microbial communities, complicating the identification of key symbionts and their functions.
- Understanding these complex host-microbe interactions is crucial for marine ecosystem health, especially with threats to coral reefs.
Purpose of the Study:
- To propose a framework for analyzing complex marine invertebrate microbiomes by applying principles of host-microbe coevolution.
- To establish research criteria for examining coevolutionary dynamics in marine invertebrate-microbial associations.
Main Methods:
- Reviewing literature on host-microbe coevolutionary models and marine invertebrate microbiomes.
- Proposing three criteria: identifying microbiome components (stochastic vs. deterministic), assessing host-microbe codivergence, and confirming metabolic interdependence.
Main Results:
- Coevolutionary evidence, such as host-microbe codivergence and metabolic collaboration, is observed in marine invertebrates like corals and sponges.
- Neutral models can help differentiate between selected and randomly associated microbes within these communities.
Conclusions:
- Applying coevolutionary concepts provides a robust approach to deciphering complex marine invertebrate microbiomes.
- Three key research criteria are proposed to advance the study of host-microbe interactions and their role in holobiont function and resilience.
Related Concept Videos
The Evidence for Evolution
48.0K
Genetic variations accumulating within populations over generations give rise to biological evolution. Evolutionary changes can result in the formation of novel varieties and entire new species. These changes are responsible for the diverse forms of life inhabiting the planet. The evidence for evolution suggests that all living organisms descended from common ancestors.
48.0K
Comparative Excretory Systems
26.6K
Animals have evolved different strategies for excretion, the removal of waste from the body. Most waste must be dissolved in water to be excreted, so an animal’s excretory strategy directly affects its water balance.
26.6K
Protein Complex Assembly
16.7K
Proteins can form homomeric complexes with another unit of the same protein or heteromeric complexes with different types. Most protein complexes self-assemble spontaneously via ordered pathways, while some proteins need assembly factors that guide their proper assembly. Despite the crowded intracellular environment, proteins usually interact with their correct partners and form functional complexes.
Many viruses self-assemble into a fully functional unit using the infected host cell to...
Many viruses self-assemble into a fully functional unit using the infected host cell to...
16.7K
Second Order systems II
406
In an underdamped second-order system, where the damping ratio ζ is between 0 and 1, a unit-step input results in a transfer function that, when transformed using the inverse Laplace method, reveals the output response. The output exhibits a damped sinusoidal oscillation, and the difference between the input and output is termed the error signal. This error signal also demonstrates damped oscillatory behavior. Eventually, as the system reaches a steady state, the error diminishes to zero.
406
First Order Systems
426
First-order systems, such as RC circuits, are foundational in understanding dynamic systems due to their straightforward input-output relationship. Analyzing their responses to different input functions under zero initial conditions reveals significant insights into system behavior.
When a first-order system is subjected to a unit-step input, its response is characterized by its transfer function. By applying the Laplace transform of the unit-step input to the transfer function, expanding the...
When a first-order system is subjected to a unit-step input, its response is characterized by its transfer function. By applying the Laplace transform of the unit-step input to the transfer function, expanding the...
426
Second Order systems I
592
A servo system exemplifies a second-order system, featuring a proportional controller and load elements that ensure the output position aligns with the input position. The relationship between these components is described by a second-order differential equation. Applying the Laplace transform under zero initial conditions yields the transfer function, showing how inputs are converted to outputs in the system.
By reinterpreting the system, one can derive the closed-loop transfer function, which...
By reinterpreting the system, one can derive the closed-loop transfer function, which...
592

