Dissecting two contrasting phytoplankton-symbiont interaction modes based on population dynamics and gene expression patterns

Deciphering how host-microbe interactions shape microbiome structure is crucial for understanding host health and ecosystem function. Given the inherent complexity of host-microbe interactions, we simplified the system by separating interactions into unidirectional and bidirectional modes. Using this framework, we observed contrasting effects on the growth of two representative bacterial taxa isolated from the same host microbiome. These growth responses were further coupled with distinctive gene expression profiles in both hosts and bacteria under the different interaction modes. Together, these findings underscore the importance of considering host-microbe interaction modes in microbiome research. For example, our findings help explain how hosts can harbor functionally diverse microbial assemblages, where contrasting metabolic strategies are maintained through distinct interaction modes. Such insights are fundamental for predicting, managing, or engineering microbiomes, as well as understanding the ecological processes that drive microbiome diversity and function within host-microbiome systems in nature.

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Publication Details

Journal
mSystems
Published
2025-11-04
DOI
https://doi.org/10.1128/msystems.00803-25
Primary Topic
Microbial Community Ecology and Physiology
Type
article
Field-Weighted Citation Impact
0.00
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article

Dissecting two contrasting phytoplankton-symbiont interaction modes based on population dynamics and gene expression patterns

Vincent J. Denef, Jinny Wu Yang
mSystems
Microbial Community Ecology and Physiology
article

Dissecting two contrasting phytoplankton-symbiont interaction modes based on population dynamics and gene expression patterns

Vincent J. Denef, Jinny Wu Yang
article en

Abstract

Deciphering how host-microbe interactions shape microbiome structure is crucial for understanding host health and ecosystem function. Given the inherent complexity of host-microbe interactions, we simplified the system by separating interactions into unidirectional and bidirectional modes. Using this framework, we observed contrasting effects on the growth of two representative bacterial taxa isolated from the same host microbiome. These growth responses were further coupled with distinctive gene expression profiles in both hosts and bacteria under the different interaction modes. Together, these findings underscore the importance of considering host-microbe interaction modes in microbiome research. For example, our findings help explain how hosts can harbor functionally diverse microbial assemblages, where contrasting metabolic strategies are maintained through distinct interaction modes. Such insights are fundamental for predicting, managing, or engineering microbiomes, as well as understanding the ecological processes that drive microbiome diversity and function within host-microbiome systems in nature.

mSystemsVol. 10(12)
University of Michigan (US), Michigan State University (US)
Openalex Percentile: Top 68%
Microbial Community Ecology and Physiology
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Dissecting two contrasting phytoplankton-symbiont interaction modes based on population dynamics and gene expression patterns — Vincent J. Denef, Jinny Wu Yang · mSystems (2025) | TGRS Research Map | TGRS