Protocell Survival Networks in Spatially Modulated Chemical Gradients

Coupling molecular-level chemical networks to macroscopic functions provides a step toward the implementation of rudimentary forms of agency in life-like objects and materials. Here, a negative feedback circuit within a networked binary protocell community is linked to higher-level spatial dynamic behaviors by exposing the consortium to a unidirectional reaction-diffusion gradient of an activator. The activator initiates artificial lysis and release of protocell-encapsulated enzymes, which spatiotemporally restrict membrane disassembly to generate distinct protocell survival boundaries within homogeneously distributed or segregated arrangements of the binary populations. We track the collective defense responses under nonequilibrium conditions and show that spatial symmetry breaking is related to the local generation of a hydrogen peroxide gradient and is strongly influenced by confinement and edge effects that spatially modulate the protocell survival networks formed within the hydrogels. In each case, the results are validated by computer simulations based on reaction-diffusion modeling. Overall, our work presents a general approach to implementing and decoding the spatial dynamic behaviors and collective responses of chemically networked protocell communities operating under nonequilibrium conditions and provides a pathway to self-protective cytomimetic systems that exhibit quasi-intelligent spatiotemporal behaviors in response to gradient-mediated activation.

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Publication Details

Journal
Journal of the American Chemical Society
Published
2025-11-25
DOI
https://doi.org/10.1021/jacs.5c11734
Primary Topic
Origins and Evolution of Life
Type
article
Field-Weighted Citation Impact
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article

Protocell Survival Networks in Spatially Modulated Chemical Gradients

Liangfei Tian, Stephen Mann, Shuqi Wu, Iuliia Myrgorodska et al.
Journal of the American Chemical Society
Origins and Evolution of Life
article

Protocell Survival Networks in Spatially Modulated Chemical Gradients

Liangfei Tian, Stephen Mann, Shuqi Wu, Iuliia Myrgorodska, Mei Li, Pengfei Xu
article en

Abstract

Coupling molecular-level chemical networks to macroscopic functions provides a step toward the implementation of rudimentary forms of agency in life-like objects and materials. Here, a negative feedback circuit within a networked binary protocell community is linked to higher-level spatial dynamic behaviors by exposing the consortium to a unidirectional reaction-diffusion gradient of an activator. The activator initiates artificial lysis and release of protocell-encapsulated enzymes, which spatiotemporally restrict membrane disassembly to generate distinct protocell survival boundaries within homogeneously distributed or segregated arrangements of the binary populations. We track the collective defense responses under nonequilibrium conditions and show that spatial symmetry breaking is related to the local generation of a hydrogen peroxide gradient and is strongly influenced by confinement and edge effects that spatially modulate the protocell survival networks formed within the hydrogels. In each case, the results are validated by computer simulations based on reaction-diffusion modeling. Overall, our work presents a general approach to implementing and decoding the spatial dynamic behaviors and collective responses of chemically networked protocell communities operating under nonequilibrium conditions and provides a pathway to self-protective cytomimetic systems that exhibit quasi-intelligent spatiotemporal behaviors in response to gradient-mediated activation.

Journal of the American Chemical SocietyVol. 147(49)
Ministry of Education (NZ), Ministry of Education of the People's Republic of China (CN), University of Bristol (GB), The Fourth People's Hospital (CN), Society for Ambulatory Anesthesia (US), Centre for Higher Education (DE), Art Innovation (Netherlands) (NL), Women's Hospital, School of Medicine, Zhejiang University (CN), Max Planck-Bristol Centre for Minimal Biology (GB), Zhejiang University (CN)
Openalex Percentile: Top 75%
Origins and Evolution of Life
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