Evidence map›Paper›PMID 40720431›Full record

ArticlePloS one2025

Analysis of metabolomics and transcriptomics data to assess interactions in microalgal co-culture of Skeletonema marinoi and Prymnesium parvum.

Mahnoor Zulfiqar, Anne-Susann Abel, Emanuel Barth, Kristy Syhapanha, Remington Xavier Poulin, Sassrika Nethmini Costa Warnakulasuriya Dehiwalage, Georg Pohnert, Christoph Steinbeck, Kristian Peters, Maria Sorokina

Abstract read
In one paragraph

Article in PloS one, 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. Review
  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.

Mahnoor ZulfiqarInstitute for Inorganic and Analytical Chemistry, Friedrich Schiller University Jena, Jena, Germany.ORCID https://orcid.org/0000-0002-8330-4071
Anne-Susann AbelInstitute for Inorganic and Analytical Chemistry, Friedrich Schiller University Jena, Jena, Germany.
Emanuel BarthFaculty of Mathematics and Computer Science, Friedrich Schiller University Jena, Jena, Germany.
Kristy SyhapanhaInstitute for Inorganic and Analytical Chemistry, Friedrich Schiller University Jena, Jena, Germany.
Remington Xavier PoulinInstitute for Inorganic and Analytical Chemistry, Friedrich Schiller University Jena, Jena, Germany.ORCID https://orcid.org/0000-0002-4194-8274
Sassrika Nethmini Costa Warnakulasuriya DehiwalageCenter for Molecular Biomedicine (CMB), Department of Biophysics, Friedrich Schiller University Jena, Jena, Germany.
Georg PohnertInstitute for Inorganic and Analytical Chemistry, Friedrich Schiller University Jena, Jena, Germany.
Christoph SteinbeckInstitute for Inorganic and Analytical Chemistry, Friedrich Schiller University Jena, Jena, Germany.ORCID https://orcid.org/0000-0001-6966-0814
Kristian PetersBioinformatics & Systems Biology, Justus Liebig University Giessen, Giessen, Germany.
Maria SorokinaPharmaceuticals Division, Research & Development, Data Science and Artificial Intelligence, Bayer AG, Berlin, Germany.ORCID https://orcid.org/0000-0001-9359-7149

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In marine ecosystems, microbial communities often interact using specialised metabolites, which play a central role in shaping the dynamics of the ecological networks and maintaining the balance of the ecosystem. With metabolomics and transcriptomics analyses, this study explores the interactions between two marine microalgae, Skeletonema marinoi and Prymnesium parvum, grown in mono-cultures and non-contact co-cultures. As a growth indicator, the photosynthetic potential, measured via fluorescence, suggested chemical interaction between S. marinoi and P. parvum. Using Liquid Chromatography-Mass Spectrometry (LC-MS) data, we identified 346 and 521 differentially produced features in the endo- and exometabolome of S. marinoi and P. parvum, respectively. Despite limited tandem mass spectrometry data (MS2) for these features, we structurally annotated 14 compounds, most of which were previously under-studied specialised metabolites. Differential gene expression analysis was then performed on the transcriptomes of the microalgae, which uncovered differentially expressed genes involved in energy metabolism and cellular repair for both species. These metabolic changes depict the adaptation of both species in the co-culture. However, further data acquisition and investigation will be necessary to confirm the type of interaction and the underlying mechanisms.

Indexed as

DiatomsHaptophytaMetabolomicsMicroalgaeTranscriptomeChromatography, LiquidCoculture TechniquesGene Expression ProfilingMetabolomePhotosynthesis

Identifiers

PMID40720431
PMCPMC12303313

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.