Evidence map›Paper›PMID 41186233›Full record

ArticlemSystems2025

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

Jinny Wu Yang, Vincent J Denef

Abstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Jinny Wu YangEcology and Evolutionary Biology, University of Michigan, Ann Arbor, Michigan, USA.ORCID 0000-0002-5932-2974
Vincent J DenefEcology and Evolutionary Biology, University of Michigan, Ann Arbor, Michigan, USA.ORCID 0000-0001-7830-8572

Funding

Horace H. Rackham School of Graduate Studies, University of MichiganUniversity of Michigan
6 · The paper itself

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.

Indexed as

PhytoplanktonSymbiosisMicrobiotaPopulation Dynamicsphytoplankton-bacteria interactionsRNA sequencing

Identifiers

PMID41186233
PMCPMC12710304

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.