Paper List
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Developing the PsyCogMetrics™ AI Lab to Evaluate Large Language Models and Advance Cognitive Science
This paper addresses the critical gap between sophisticated LLM evaluation needs and the lack of accessible, scientifically rigorous platforms that in...
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Equivalence of approximation by networks of single- and multi-spike neurons
This paper resolves the fundamental question of whether single-spike spiking neural networks (SNNs) are inherently less expressive than multi-spike SN...
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The neuroscience of transformers
提出了Transformer架构与皮层柱微环路之间的新颖计算映射,连接了现代AI与神经科学。
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Framing local structural identifiability and observability in terms of parameter-state symmetries
This paper addresses the core challenge of systematically determining which parameters and states in a mechanistic ODE model can be uniquely inferred ...
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Leveraging Phytolith Research using Artificial Intelligence
This paper addresses the critical bottleneck in phytolith research by automating the labor-intensive manual microscopy process through a multimodal AI...
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Neural network-based encoding in free-viewing fMRI with gaze-aware models
This paper addresses the core challenge of building computationally efficient and ecologically valid brain encoding models for naturalistic vision by ...
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Scalable DNA Ternary Full Adder Enabled by a Competitive Blocking Circuit
This paper addresses the core bottleneck of carry information attenuation and limited computational scale in DNA binary adders by introducing a scalab...
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ELISA: An Interpretable Hybrid Generative AI Agent for Expression-Grounded Discovery in Single-Cell Genomics
This paper addresses the critical bottleneck of translating high-dimensional single-cell transcriptomic data into interpretable biological hypotheses ...
A mechanical bifurcation constrains the evolution of cell sheet folding in the family Volvocaceae
Département de Physique, École Normale Supérieure, Paris, France | Max Planck Institute for the Physics of Complex Systems, Dresden, Germany | Center for Systems Biology Dresden, Germany | Max Planck Institute of Molecular Cell Biology and Genetics, Dresden, Germany
30秒速读
IN SHORT: This paper addresses the core problem of why there is an evolutionary gap in species with intermediate cell numbers (e.g., 256 cells) in Volvocaceae, linking it to a mechanical bifurcation that prevents simple inversion strategies beyond a critical size.
核心创新
- Methodology Developed a novel continuum elastic sheet model for cell sheet inversion, parameterizing cell shape changes as intrinsic curvature variations.
- Biology Identified and quantified a mechanical bifurcation (critical intrinsic curvature k1) that acts as a constraint, making inversion impossible for parameter sets extrapolated to 256+ cells.
- Theory Proposed that the evolution of complex inversion programs in Volvox (e.g., type-A/B) was a necessary adaptation to circumvent this fundamental physical constraint, linking developmental mechanics to evolutionary trajectories.
主要结论
- A mechanical bifurcation in the elastic sheet model defines a critical intrinsic curvature (k1); inversion is only possible for k > k1. Parameters for P. californica (k ≈ 2.5 ± 0.4) satisfy this.
- Allometric scaling (h ∝ N^{-1/4}, ξ ≈ 1.14 ± 0.06) and geometric extrapolation predict that for N ≥ 256 cells, the required parameters fall outside the inversion-possible regime (k < k1).
- The absence of species with ~256 cells and the evolution of complex inversion in Volvox are direct consequences of this bifurcation, demonstrating how physics can constrain evolutionary possibilities.
摘要: The processes of morphogenesis that give rise to the shapes of organs and organisms during development are often driven by mechanical instabilities. Can such mechanical bifurcations also drive or constrain the evolution of these processes in the first place? We discover an instance of these constraints in the green algae of the family Volvocaceae. During their development, their bowl-shaped embryonic cell sheet turns itself inside out. This inversion is driven by a simple wave of cell wedging in the genus Pleodorina (16–128 cells) and more complex programmes of cell shape changes in Volvox (∼400–50 000 cells). However, no species with intermediate cell numbers (256 cells) have been described. Here, we relate this gap to a mechanical bifurcation: Focusing on the inversion of Pleodorina californica (64 cells), we develop a continuum model, in which the cell shape changes driving inversion appear as changes of the intrinsic curvature of an elastic surface. A mechanical bifurcation in this model predicts that inversion is only possible in a subset of its parameter space. Strikingly, parameters estimated for P. californica fall into this possible subset, but those that we extrapolate to 256 or more cells using allometric observations and a model of cell cleavage in Volvocaceae do not. Our work thus suggests that the more complex inversion strategies of Volvox are an evolutionary necessity to obviate this bifurcation and indicates more broadly how mechanical bifurcations can drive the evolution of morphogenesis.