Synthetic deconvolution of an auxin-dependent transcriptional code

How developmental signals program gene expression in space and time is still poorly understood. Here, we addressed this question for the plant master regulator, auxin. Transcriptional responses to auxin rely on a large multigenic transcription factor family, the auxin response factors (ARFs). We deconvoluted the complexity of ARF-regulated transcription using auxin-inducible synthetic promoters built from cis-element pair configurations differentially bound by ARFs. We demonstrate using cellular systems that ARF transcriptional properties are not only intrinsic but also depend on the cis-element pair configurations they bind to, thus identifying a bi-layer ARF/cis-element transcriptional code. Auxin-inducible synthetic promoters were expressed differentially in planta showing at single-cell resolution how this bi-layer code patterns transcriptional responses to auxin. Combining cis-element pair configurations in synthetic promoters created distinct patterns, demonstrating the combinatorial power of the auxin bi-layer code in generating diverse gene expression patterns that are not simply a direct translation of auxin distribution.

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Publication Details

Journal
Cell
Published
2025-04-15
DOI
https://doi.org/10.1016/j.cell.2025.03.028
Citations
10
Primary Topic
Plant Molecular Biology Research
Type
article
Field-Weighted Citation Impact
17.50

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article

Synthetic deconvolution of an auxin-dependent transcriptional code

Marie‐France Gérentes, François Parcy, Guillaume Cerutti, Matías D. Zurbriggen et al.
10 citations
Cell
Plant Molecular Biology Research
17.50
article

Synthetic deconvolution of an auxin-dependent transcriptional code

Marie‐France Gérentes, François Parcy, Guillaume Cerutti, Matías D. Zurbriggen, François Roudier, Teva Vernoux, Bruno Guillotin, Coralie Cancé, Emmanuel Thévenon, Jérémy Lucas, Raquel Martín-Arevalillo, Renaud Dumas, Jonathan Legrand, Annick Dubois, Kenneth D. Birnbaum, Alice Hugues, Carlos S. Galván-Ampudia, Kun Tang, Jonas Schön, Graeme Vissers, Mohammed Mohammed Ateequr, Marianne Dreuillet
article en
10 citations

Abstract

How developmental signals program gene expression in space and time is still poorly understood. Here, we addressed this question for the plant master regulator, auxin. Transcriptional responses to auxin rely on a large multigenic transcription factor family, the auxin response factors (ARFs). We deconvoluted the complexity of ARF-regulated transcription using auxin-inducible synthetic promoters built from cis-element pair configurations differentially bound by ARFs. We demonstrate using cellular systems that ARF transcriptional properties are not only intrinsic but also depend on the cis-element pair configurations they bind to, thus identifying a bi-layer ARF/cis-element transcriptional code. Auxin-inducible synthetic promoters were expressed differentially in planta showing at single-cell resolution how this bi-layer code patterns transcriptional responses to auxin. Combining cis-element pair configurations in synthetic promoters created distinct patterns, demonstrating the combinatorial power of the auxin bi-layer code in generating diverse gene expression patterns that are not simply a direct translation of auxin distribution.

CellVol. 188(11)
Université Claude Bernard Lyon 1 (FR), École Normale Supérieure de Lyon (FR), New York University Abu Dhabi (AE), Centre National de la Recherche Scientifique (FR), Commissariat à l'Énergie Atomique et aux Énergies Alternatives (FR), CEA Grenoble (FR), Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement (FR), Laboratoire Physiologie Cellulaire & Végétale (FR), Cluster of Excellence on Plant Sciences (DE), Laboratoire Reproduction et Développement des Plantes (FR), Heinrich Heine University Düsseldorf (DE), New York University (US), Université Grenoble Alpes (FR)
Human Frontier Science Program, Deutsche Forschungsgemeinschaft, Agence Nationale de la Recherche, HORIZON EUROPE European Research Council
Zero hunger
Openalex Percentile: Top 1%
Plant Molecular Biology Research
17.50
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