Entanglement in living systems
Many organisms exhibit branching morphologies that twist around each other and become entangled. Entanglement occurs when different objects interlock, creating complex and often irreversible configurations. This physical phenomenon is well-studied in non-living materials, such as granular matter, po...
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Zusammenfassung: | Many organisms exhibit branching morphologies that twist around each other
and become entangled. Entanglement occurs when different objects interlock,
creating complex and often irreversible configurations. This physical
phenomenon is well-studied in non-living materials, such as granular matter,
polymers, and wires, where it has been shown that entanglement is highly
sensitive to the geometry of the component parts. However, entanglement is not
yet well understood in living systems, despite its presence in many organisms.
In fact, recent work has shown that entanglement can evolve rapidly, and play a
crucial role in the evolution of tough, macroscopic multicellular groups. Here,
through a combination of experiments, simulations, and numerical analyses, we
show that growth facilitates entanglement for a broad range of geometries. We
find that experimentally grown entangled branches can be difficult or even
impossible to disassemble through translation and rotation of rigid components,
suggesting that growth can access branch configurations that agitation cannot.
Simulations show that branching trees readily grow into entangled
configurations for a broad range of geometries. We thus propose that
entanglement via growth is largely insensitive to the geometry of
branched-trees, but instead depends sensitively on time scales, ultimately
achieving an entangled state once sufficient growth has occurred. We test this
hypothesis in experiments with snowflake yeast, a model system of
undifferentiated multicellularity, showing that increasing growth time leads to
entanglement, and that entanglement via growth can occur for many geometries.
This work demonstrates that entanglement is more readily achieved in living
systems than in their non-living counterparts, providing a widely-accessible
and powerful mechanism for the evolution of novel biological material
properties. |
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DOI: | 10.48550/arxiv.2306.08070 |