Evidence map›Paper›PMID 40353563›Full record

ArticleThe ISME journal2025

Natural and lab-derived microbiomes differentially shape stressor interaction patterns of Daphnia magna.

Shira Houwenhuyse, Lore Bulteel, Isabel Vanoverberghe, Anna Krzynowek, Marlies Van de Maele, Manon Coone, Silke Van den Wyngaert, Arne Sinnesael, Robby Stoks, Ellen Decaestecker

Abstract read
In one paragraph

Article in The ISME journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

10 authors.

Shira HouwenhuyseMicrobiome EcoEvo Group, Laboratory of Aquatic Biology, Department of Biology, Campus KULAK, Eteinne Sabbelaan 53, University of Leuven - KU Leuven, Kortrijk 8500, Belgium.
Lore BulteelMicrobiome EcoEvo Group, Laboratory of Aquatic Biology, Department of Biology, Campus KULAK, Eteinne Sabbelaan 53, University of Leuven - KU Leuven, Kortrijk 8500, Belgium.
Isabel VanoverbergheMicrobiome EcoEvo Group, Laboratory of Aquatic Biology, Department of Biology, Campus KULAK, Eteinne Sabbelaan 53, University of Leuven - KU Leuven, Kortrijk 8500, Belgium.
Anna KrzynowekLaboratory of Molecular Bacteriology, Department of Microbiology, Immunology and Transplantation, Herestraat 49, PO Box 1037, Rega Institute for Medical Research-KU Leuven, Leuven 3000, Belgium.
Marlies Van de MaeleEvolutionary Stress Ecology and Ecotoxicology, Charles Debériotstraat 32, University of Leuven-KU Leuven, Leuven 3000, Belgium.
Manon CooneMicrobiome EcoEvo Group, Laboratory of Aquatic Biology, Department of Biology, Campus KULAK, Eteinne Sabbelaan 53, University of Leuven - KU Leuven, Kortrijk 8500, Belgium.
Silke Van den WyngaertDepartment of Biology, Vesilinnantie 5, University of Turku, Turku 20014, Finland.
Arne SinnesaelMicrobiome EcoEvo Group, Laboratory of Aquatic Biology, Department of Biology, Campus KULAK, Eteinne Sabbelaan 53, University of Leuven - KU Leuven, Kortrijk 8500, Belgium.
Robby StoksEvolutionary Stress Ecology and Ecotoxicology, Charles Debériotstraat 32, University of Leuven-KU Leuven, Leuven 3000, Belgium.
Ellen DecaesteckerMicrobiome EcoEvo Group, Laboratory of Aquatic Biology, Department of Biology, Campus KULAK, Eteinne Sabbelaan 53, University of Leuven - KU Leuven, Kortrijk 8500, Belgium.

Funding

FWO G014423NFWO G061824NFWO W001322N
6 · The paper itself

Abstract

Organisms are facing multiple, potentially interacting stressors in natural populations. The ability of populations coping with combined stressors depends on their tolerance to individual stressors and how stressors interact, which may not be correctly captured in controlled laboratory settings. One reason for this is that the microbial communities in laboratory settings often differ from the natural environment, which could result in different stressor responses and interaction patterns. In this study, we investigated the impact of single and combined exposure to a toxic cyanobacterium and an oomycete parasite on the performance of three Daphnia magna genotypes. Daphnia individuals were sterilized and subsequently exposed to a natural or a laboratory-derived microbial inoculum. Survival, reproduction and body size were monitored, and gut microbiomes were characterized. Our study confirmed that natural and laboratory microbial inocula and gut microbiomes are differently structured. An antagonistic interaction between the two biotic stressors was revealed with respect to survival when Daphnia, across all three genotypes, were exposed to the laboratory microbial inoculum, with a higher survival in the multiple stressor treatment than in the single stressor treatments. In contrast, no antagonistic interaction was detected in Daphnia exposed to a natural microbial inoculum, where the interaction effects were mainly host genotype-dependent. Our results provide the first causal evidence that host-stressor interaction patterns may be shaped by the gut microbiome and the uptake from certain strains from the environment. This raises concern that the many multiple stressor studies on lab-cultured animals with a differently structured microbiome may provide misleading results.

Indexed as

DaphniaGastrointestinal MicrobiomeMicrobiotaStress, PhysiologicalAnimalsCyanobacteriaDaphnia magnaGenotypeantagonistic interactioncyanobacteriadaphniainteracting stressorslaboratory-derived microbiomemicrobiomenatural-derived microbiomeoomyceteparasite

Identifiers

PMID40353563
PMCPMC12225683

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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.