English

Predicting the Interfacial Energy and Morphology of DNA Condensates

Biological Physics 2025-12-19 v1 Soft Condensed Matter

Abstract

The physics and morphology of biomolecular condensates formed through liquid-liquid phase separation underpin diverse biological processes, exemplified by the nested organization of nucleoli that facilitates ribosome biogenesis. Here, we develop a theoretical and computational framework to understand and predict multiphase morphologies in DNA-nanostar solutions. Because morphology is governed by interfacial energies between coexisting phases, we combine Flory-Huggins theory with coarse-grained molecular dynamics simulations to examine how these energies depend on key microscopic features of DNA nanostars, including size, valence, bending rigidity, Debye screening length, binding strength, and sticky-end distribution. The phase behavior of DNA nanostars is quantitatively captured by a generalized lattice model, in which the interplay between sticky-end binding energy and conformational entropy determines the effective interactions. Focusing on condensates comprising two dense phases, we find that Janus-like morphologies are ubiquitous because the interfacial energies between the dense and dilute phases, γi{1,2}\gamma_{i\in\{1,2\}}, are typically comparable. In contrast, nested morphologies are rare as they require a large asymmetry in γi\gamma_i, which arises only for highly dissimilar nanostars such as those differing markedly in valence or size. Moreover, the interfacial energy between the two dense phases, γ12\gamma_{12}, can be modulated either discretely, by varying sticky-end distribution, or continuously, by tuning the crosslinker ratio; the former may even eliminate nested configurations. These findings establish physical design principles for constructing complex condensate architectures directly from microscopic molecular parameters.

Keywords

Cite

@article{arxiv.2512.16150,
  title  = {Predicting the Interfacial Energy and Morphology of DNA Condensates},
  author = {Sihan Liu and Andrej Košmrlj},
  journal= {arXiv preprint arXiv:2512.16150},
  year   = {2025}
}

Comments

36 pages, 18 figures, 2 tables