Emergence of hyperuniformity from reaction-diffusion interactions in Turing patterns

Self-organized Turing patterns, arising from the dynamic interplay of reaction and diffusion processes, are instrumental in modeling natural morphogenesis and deciphering the biological functions of diverse structures. These patterns exhibit complex spatial arrangements that can be analyzed through the lens of statistical mechanics, particularly in relation to hyperuniformity-a state characterized by suppressed long-range density fluctuations. Despite this, the connection between Turing patterns and hyperuniformity remains relatively unexplored. In this study, we examine the spatial distribution of generic Gray-Scott patterns and Arabidopsis thaliana trichome patterns, linking their morphogenesis to disordered hyperuniform patterns. Our findings demonstrate that hyperuniformity emerges in Turing patterns as a solution to a reaction-diffusion equation system, reaching its apex in a specific region of the Gray-Scott phase space marked by dotlike spatial patterns. Mapping the hyperuniformity classes in this region reveals patterns with class III hyperuniformity surrounding special class I solutions. By extending this framework to biological systems currently under investigation for mechanosignalling triggrered immunity, we show that A. thaliana trichomes form class III disordered hyperuniform systems. Such exotic organization, as described by Turing patterning, has a strong potential to influence mechanically triggered immune response, offering novel insights into plant mechanoperception.

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Publication Details

Journal
Physical review. E
Published
2025-10-01
DOI
https://doi.org/10.1103/5frq-hk7t
Citations
1
Primary Topic
Plant Molecular Biology Research
Type
article
Field-Weighted Citation Impact
1.75
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article

Emergence of hyperuniformity from reaction-diffusion interactions in Turing patterns

Eric Ballestero, Aroune Duclos, Vicente Romero‐García, Adelin Barbacci
1 citations
Physical review. E
Plant Molecular Biology Research
1.75
article

Emergence of hyperuniformity from reaction-diffusion interactions in Turing patterns

Eric Ballestero, Aroune Duclos, Vicente Romero‐García, Adelin Barbacci
article en
1 citations

Abstract

Self-organized Turing patterns, arising from the dynamic interplay of reaction and diffusion processes, are instrumental in modeling natural morphogenesis and deciphering the biological functions of diverse structures. These patterns exhibit complex spatial arrangements that can be analyzed through the lens of statistical mechanics, particularly in relation to hyperuniformity-a state characterized by suppressed long-range density fluctuations. Despite this, the connection between Turing patterns and hyperuniformity remains relatively unexplored. In this study, we examine the spatial distribution of generic Gray-Scott patterns and Arabidopsis thaliana trichome patterns, linking their morphogenesis to disordered hyperuniform patterns. Our findings demonstrate that hyperuniformity emerges in Turing patterns as a solution to a reaction-diffusion equation system, reaching its apex in a specific region of the Gray-Scott phase space marked by dotlike spatial patterns. Mapping the hyperuniformity classes in this region reveals patterns with class III hyperuniformity surrounding special class I solutions. By extending this framework to biological systems currently under investigation for mechanosignalling triggrered immunity, we show that A. thaliana trichomes form class III disordered hyperuniform systems. Such exotic organization, as described by Turing patterning, has a strong potential to influence mechanically triggered immune response, offering novel insights into plant mechanoperception.

Physical review. EVol. 112(6)
Université Fédérale de Toulouse Midi-Pyrénées (FR), Acoustics Research Institute (AT), Le Mans Université (FR), Laboratoire des Interactions Plantes Microbes Environnement (FR), Laboratoire d'Acoustique de l'Université du Mans (FR), Universitat Politècnica de València (ES)
Openalex Percentile: Top 11%
Plant Molecular Biology Research
1.75
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