Evidence map›Paper›PMID 39738126›Full record

ArticleNature communications2024

Genome-scale metabolic modelling reveals interactions and key roles of symbiont clades in a sponge holobiont.

Shan Zhang, Weizhi Song, Geogios Marinos, Silvio Waschina, Johannes Zimmermann, Christoph Kaleta, Torsten Thomas

Abstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Metabolic modeling of host-microbe interactions.Computational and structural biotechnology journal · 2025
    Review
  4. 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

7 authors.

Shan ZhangSchool of Biological, Earth and Environmental Sciences, University of New South Wales, Sydney, Australia.ORCID 0000-0002-1246-7017
Weizhi SongSchool of Biological, Earth and Environmental Sciences, University of New South Wales, Sydney, Australia.ORCID 0000-0001-5890-5361
Geogios MarinosResearch Group Medical Systems Biology, Institute of Experimental Medicine, University of Kiel and University Hospital Schleswig-Holstein, 24105, Kiel, Germany.ORCID 0000-0002-6443-7696
Silvio WaschinaInstitute of Human Nutrition and Food Science, University of Kiel, 24105, Kiel, Germany.ORCID 0000-0002-6290-3593
Johannes ZimmermannResearch Group Medical Systems Biology, Institute of Experimental Medicine, University of Kiel and University Hospital Schleswig-Holstein, 24105, Kiel, Germany.ORCID 0000-0002-5041-1954
Christoph KaletaResearch Group Medical Systems Biology, Institute of Experimental Medicine, University of Kiel and University Hospital Schleswig-Holstein, 24105, Kiel, Germany.ORCID 0000-0001-8004-9514
Torsten ThomasSchool of Biological, Earth and Environmental Sciences, University of New South Wales, Sydney, Australia. t.thomas@unsw.edu.au.ORCID 0000-0001-9557-3001

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sponges harbour complex microbiomes and as ancient metazoans and important ecosystem players are emerging as powerful models to understand the evolution and ecology of symbiotic interactions. Metagenomic studies have previously described the functional features of sponge symbionts, however, little is known about the metabolic interactions and processes that occur under different environmental conditions. To address this issue, we construct here constraint-based, genome-scale metabolic networks for the microbiome of the sponge Stylissa sp. Our models define the importance of sponge-derived nutrients for microbiome stability and discover how different organic inputs can result in net heterotrophy or autotrophy of the symbiont community. The analysis further reveals the key role that a newly discovered bacterial taxon has in cross-feeding activities and how it dynamically adjusts with nutrient inputs. Our study reveals insights into the functioning of a sponge microbiome and provides a framework to further explore and define metabolic interactions in holobionts.

Indexed as

Metabolic Networks and PathwaysMicrobiotaPoriferaSymbiosisAnimalsBacteriaGenomeGenome, BacterialMetagenomicsModels, BiologicalPhylogeny

Identifiers

PMID39738126
PMCPMC11685487

What OpenQuestion holds

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Registered trials

None linked

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.