Nucleosome condensate and linker DNA alter chromatin folding pathways and rates
Open accessPreprint — published as 10.1016/j.bpj.2025.11.2686 · Paper page
Abstract
Chromatin organization is essential for DNA packaging and gene regulation in eukaryotic genomes. While significant progresses have been made, the exact atomistic arrangement of nucleosomes remains controversial. Using a well-calibrated residue-level coarse-grained model and advanced dynamics modeling techniques, particularly the non-Markovian dynamics model, we map the free energy landscape of tetra-nucleosome systems, identify both metastable conformations and intermediate states in folding pathways, and quantify the folding kinetics. Our findings show that chromatin with 10 n base pairs (bp) DNA linker lengths favor zigzag fibril structures. However, longer linker lengths destabilize this conformation. When the linker length is 10 n + 5 bp, chromatin loses unique conformations, favoring a dynamic ensemble of structures resembling folding intermediates. Embedding the tetra-nucleosome in a nucleosome condensate similarly shifts stability towards folding intermediates as a result of the competition of inter-nucleosomal contacts. These results suggest that chromatin organization observed in vivo arises from the unfolding of fibril structures due to nucleosome crowding and linker length variation. This perspective aids in unifying experimental studies to develop atomistic models for chromatin. Significance: Atomic structures of chromatin have become increasingly accessible, largely through cryo-EM techniques. Nonetheless, these approaches often face limitations in addressing how intrinsic in vivo factors influence chromatin organization. We present a structural characterization of chromatin under the combined effects of nucleosome condensate crowding and linker DNA length variation—two critical in vivo features that have remained challenging to capture experimentally. This work leverages a novel application of non-Markovian dynamical modeling, providing accurate mapping of chromatin folding kinetics and pathways. Our findings support a hypothesis that in vivo chromatin organization arises from folding intermediates advancing toward a stable fibril configuration, potentially resolving longstanding questions surrounding chromatin atomic structure.
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Cites
Identification of slow molecular order parameters for Markov model construction
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“86,87 The IGME model encodes non-Markovian dynamics through time integrations of memory kernels based on the GME.”
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- Authors
- Qiu, Y., Liu, S., Lin, X., Unarta, I. C., Huang, X., & Zhang, B.
- Affiliations
- University of Wisconsin–Madison (US)
- Massachusetts Institute of Technology (US)
- Corresponding author
- Huang, Xuhui
- Zhang, Bin
- Venue
- Biophysical Journal
- Publisher
- openRxiv
- Published
- 2024-11-16
- Volume
- 125
- Issue
- 1
- Pages
- 282-293
- ISSN
- 0006-3495 (ISSN-L)
- PMC
- PMC12820995
- OpenAlex
- W4416758057
- Cited by
- 10
- References
- 4
- Citations by year
- 2026: 5 · 2025: 5
- FWCI
- 3.01
- Type
- journal article
- Language
- en
- Open access
- green
- doi.org
- Licence
- Locations
- Biophysical Journal (publishedVersion)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed Central (submittedVersion, cc-by-nc-nd)
- Funders
- National Science Foundation
- Wisconsin Alumni Research Foundation
- University of Wisconsin-Madison
- National Institutes of Health
- National Institute of General Medical Sciences (R35GM133580)
- Division of Molecular and Cellular Biosciences
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Chromatin Dynamics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protein Structure and Dynamics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › DNA and Nucleic Acid Chemistry
- Keywords
- linker DNA length, chromatin folding, free energy landscape, folding kinetics, folding intermediates, non-Markovian dynamics, coarse-grained models, chromatin organization
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