Paper List
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STAR-GO: Improving Protein Function Prediction by Learning to Hierarchically Integrate Ontology-Informed Semantic Embeddings
This paper addresses the core challenge of generalizing protein function prediction to unseen or newly introduced Gene Ontology (GO) terms by overcomi...
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Incorporating indel channels into average-case analysis of seed-chain-extend
This paper addresses the core pain point of bridging the theoretical gap for the widely used seed-chain-extend heuristic by providing the first rigoro...
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Competition, stability, and functionality in excitatory-inhibitory neural circuits
This paper addresses the core challenge of extending interpretable energy-based frameworks to biologically realistic asymmetric neural networks, where...
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Enhancing Clinical Note Generation with ICD-10, Clinical Ontology Knowledge Graphs, and Chain-of-Thought Prompting Using GPT-4
This paper addresses the core challenge of generating accurate and clinically relevant patient notes from sparse inputs (ICD codes and basic demograph...
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Learning From Limited Data and Feedback for Cell Culture Process Monitoring: A Comparative Study
This paper addresses the core challenge of developing accurate real-time bioprocess monitoring soft sensors under severe data constraints: limited his...
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Cell-cell communication inference and analysis: biological mechanisms, computational approaches, and future opportunities
This review addresses the critical need for a systematic framework to navigate the rapidly expanding landscape of computational methods for inferring ...
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Generating a Contact Matrix for Aged Care Settings in Australia: an agent-based model study
This study addresses the critical gap in understanding heterogeneous contact patterns within aged care facilities, where existing population-level con...
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Emergent Spatiotemporal Dynamics in Large-Scale Brain Networks with Next Generation Neural Mass Models
This work addresses the core challenge of understanding how complex, brain-wide spatiotemporal patterns emerge from the interaction of biophysically d...
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.