Predicting the Interfacial Energy and Morphology of DNA Condensates
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, , are typically comparable. In contrast, nested morphologies are rare as they require a large asymmetry in , 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, , 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