Evidence map›Paper›PMID 41259243›Full record

ArticleeLife2025

Life-cycle-related gene expression patterns in the brown algae.

Pélagie Ratchinski, Olivier Godfroy, Benjamin Noel, Jean-Marc Aury, J Mark Cock

Abstract read
In one paragraph

Article in eLife, 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. Review
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

5 authors.

Pélagie RatchinskiSorbonne Université, CNRS, Algal Genetics Group, Integrative Biology of Marine Models Laboratory, Roscoff, France.ORCID https://orcid.org/0009-0009-0609-2675
Olivier GodfroySorbonne Université, CNRS, CMAR, Integrative Biology of Marine Models Laboratory, Roscoff, France.
Benjamin NoelGénomique Métabolique, Genoscope, Institut François Jacob, CEA, CNRS, Université Evry, Université Paris-Saclay, Evry, France.
Jean-Marc AuryGénomique Métabolique, Genoscope, Institut François Jacob, CEA, CNRS, Université Evry, Université Paris-Saclay, Evry, France.ORCID https://orcid.org/0000-0003-1718-3010
J Mark CockSorbonne Université, CNRS, Algal Genetics Group, Integrative Biology of Marine Models Laboratory, Roscoff, France.ORCID https://orcid.org/0000-0002-2650-0383

Funding

Agence Nationale de la Recherche ANR-10-INBS-09Agence Nationale de la Recherche ANR-19-CE20-0028-01École Normale Supérieure de Lyon PhD funding program
6 · The paper itself

Abstract

Brown algae are important primary constituents of marine coastal ecosystems, characterised by complex life cycles and various levels of complex multicellular development. However, the molecular processes that underlie development and life cycle progression in the brown algae remain poorly understood. In this study, pairwise comparisons of gametophyte and sporophyte transcriptomes across 10 diverse brown algal species showed that the total number of genes exhibiting generation-biased or generation-specific expression in each species was correlated with the degree of dimorphism between life cycle generations. However, analysis of gene ontology terms assigned to the generation-biased/generation-specific genes indicated that each generation (i.e. the sporophyte and the gametophyte) also has characteristic broad life-cycle-related features that have been conserved during evolution. A more detailed analysis of

Indexed as

Life Cycle StagesPhaeophyceaeTranscriptomeGene Expression Profilingbrown algaeDictyota dichotomaearly developmentectocarpus species 7gene clusteringlife cycleplant biology

Identifiers

PMID41259243
PMCPMC12629598

What Socratic 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 Socratic graph.