ArticlemSystems2025
Dissecting two contrasting phytoplankton-symbiont interaction modes based on population dynamics and gene expression patterns.
Article in mSystems, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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2 authors.
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Abstract
Microbial symbionts play vital roles in the health, fitness, and ecological dynamics of most eukaryotic species, making it essential to understand how host-microbe interactions shape the microbiome. Building on our previous work, we hypothesized that symbionts with diverse functions are maintained in the microbiome via a trade-off between two host-microbe interaction modes: either by better utilizing host-derived dissolved organic matter (DOM) without direct interaction with the host (unidirectional interaction) or by engaging in feedback interactions with the host that alter DOM composition to their advantage (bidirectional interaction). By screening symbionts isolated from IMPORTANCE: 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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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.