Evidence map›Paper›PMID 36396969›Full record

ArticleNature ecology & evolution2022

An ancestral Wnt-Brachyury feedback loop in axial patterning and recruitment of mesoderm-determining target genes.

Michaela Schwaiger, Carmen Andrikou, Rohit Dnyansagar, Patricio Ferrer Murguia, Periklis Paganos, Danila Voronov, Bob Zimmermann, Tatiana Lebedeva, Heiko A Schmidt, Grigory Genikhovich and 3 more

Abstract read
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In one paragraph

Article in Nature ecology & evolution, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
16.8field-weighted citation impact, top 1% of its field
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

18 citing papers in PubMed, 32 citations in OpenAlex.

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  8. A model for boundary-driven tissue morphogenesis.Proceedings of the National Academy of Sciences of the United States of America · 2025
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  10. Deep homology of aScience advances · 2025
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  13. TheBiomedicines · 2024
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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

13 authors at 3 institutions in 4 countries.

Michaela Schwaiger *Department of Neurosciences and Developmental Biology, Faculty of Life Sciences,University of Vienna, Vienna, Austria.
Carmen Andrikou *Stazione Zoologica Anton Dohrn, Villa Comunale, Naples, Italy.
Rohit Dnyansagar *Department of Neurosciences and Developmental Biology, Faculty of Life Sciences,University of Vienna, Vienna, Austria.ORCID http://orcid.org/0000-0002-2699-0087
Patricio Ferrer MurguiaDepartment of Neurosciences and Developmental Biology, Faculty of Life Sciences,University of Vienna, Vienna, Austria.
Periklis PaganosStazione Zoologica Anton Dohrn, Villa Comunale, Naples, Italy.ORCID http://orcid.org/0000-0001-9525-4625
Danila VoronovStazione Zoologica Anton Dohrn, Villa Comunale, Naples, Italy.ORCID http://orcid.org/0000-0002-2972-6484
Bob ZimmermannDepartment of Neurosciences and Developmental Biology, Faculty of Life Sciences,University of Vienna, Vienna, Austria.
Tatiana LebedevaDepartment of Neurosciences and Developmental Biology, Faculty of Life Sciences,University of Vienna, Vienna, Austria.
Heiko A SchmidtCenter for Integrative Bioinformatics Vienna, Max Perutz Labs, University of Vienna, Vienna, Austria.ORCID http://orcid.org/0000-0002-2311-8592
Grigory GenikhovichDepartment of Neurosciences and Developmental Biology, Faculty of Life Sciences,University of Vienna, Vienna, Austria.
Giovanna BenvenutoStazione Zoologica Anton Dohrn, Villa Comunale, Naples, Italy.ORCID http://orcid.org/0000-0001-7155-2935
Maria Ina ArnoneStazione Zoologica Anton Dohrn, Villa Comunale, Naples, Italy. miarnone@szn.it.ORCID http://orcid.org/0000-0002-9012-7624
Ulrich TechnauDepartment of Neurosciences and Developmental Biology, Faculty of Life Sciences,University of Vienna, Vienna, Austria. ulrich.technau@univie.ac.at.ORCID http://orcid.org/0000-0003-4472-8258
University of Vienna · ATStazione Zoologica Anton Dohrn · ITSIB Swiss Institute of Bioinformatics · CH

Funding

Austrian Science Fund FWF P 30404Austrian Science Fund FWF P 31018Austrian Science Fund FWF P 34404
6 · The paper itself

Abstract

Transcription factors are crucial drivers of cellular differentiation during animal development and often share ancient evolutionary origins. The T-box transcription factor Brachyury plays a pivotal role as an early mesoderm determinant and neural repressor in vertebrates; yet, the ancestral function and key evolutionary transitions of the role of this transcription factor remain obscure. Here, we present a genome-wide target-gene screen using chromatin immunoprecipitation sequencing in the sea anemone Nematostella vectensis, an early branching non-bilaterian, and the sea urchin Strongylocentrotus purpuratus, a representative of the sister lineage of chordates. Our analysis reveals an ancestral gene regulatory feedback loop connecting Brachyury, FoxA and canonical Wnt signalling involved in axial patterning that predates the cnidarian-bilaterian split about 700 million years ago. Surprisingly, we also found that part of the gene regulatory network controlling the fate of neuromesodermal progenitors in vertebrates was already present in the common ancestor of cnidarians and bilaterians. However, while several endodermal and neuronal Brachyury target genes are ancestrally shared, hardly any of the key mesodermal downstream targets in vertebrates are found in the sea anemone or the sea urchin. Our study suggests that a limited number of target genes involved in mesoderm formation were newly acquired in the vertebrate lineage, leading to a dramatic shift in the function of this ancestral developmental regulator.

Indexed as

MesodermSea AnemonesAnimalsBrachyury ProteinFeedbackTranscription FactorsBrachyury ProteinTranscription Factors

Identifiers

PMID36396969
OpenAlexW4309218777

What OpenQuestion holds

Textmetadata
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.