Evidence map›Paper›PMID 41756875›Full record

ArticlebioRxiv : the preprint server for biology2026

The biophysical properties of the bacterial nucleoid are dynamic, heterogeneous, and responsive to perturbations of cellular processes.

Xiaofeng Dai, Lauren A McCarthy, Lindsey E Way, Emma E Wiesler, Qin Liao, Xindan Wang, Julie S Biteen

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Xiaofeng DaiDepartment of Chemistry, University of Michigan, Ann Arbor, MI, 48109, USA.ORCID 0000-0002-3208-5286
Lauren A McCarthyDepartment of Chemistry, University of Michigan, Ann Arbor, MI, 48109, USA.ORCID 0000-0002-9646-5333
Lindsey E WayDepartment of Biology, Indiana University, Bloomington, IN, 47405, USA.ORCID 0000-0002-1491-2305
Emma E WieslerDepartment of Biology, Indiana University, Bloomington, IN, 47405, USA.ORCID 0009-0005-6294-444X
Qin LiaoDepartment of Biology, Indiana University, Bloomington, IN, 47405, USA.
Xindan WangDepartment of Biology, Indiana University, Bloomington, IN, 47405, USA.ORCID 0000-0001-6458-180X
Julie S BiteenDepartment of Chemistry, University of Michigan, Ann Arbor, MI, 48109, USA.ORCID 0000-0003-2038-6484

Funding

Michigan IRACDA: Training Future Professors of Engineering and PhysiologyK12GM111725 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BROOKS, SUSAN V, SEPT, DAVID · 2016 to 2025
$7.9M
Physicochemical properties driving membraneless organelle assembly in bacteriaR01GM143182 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BITEEN, JULIE, MEYER, ANNE SARA · 2021 to 2024
$2.4M
Determining the molecular basis of gene silencing by MucR and defining its role in Brucella virulenceR01AI172822 · NIAID · EAST CAROLINA UNIVERSITY · PI ROY M ROOP · 2023 to 2026
$2.3M
How bacterial SMC complexes organize chromosomes (Equipment Supplement)R01GM141242 · NIGMS · TRUSTEES OF INDIANA UNIVERSITY · PI WANG, XINDAN · 2021 to 2025
$1.8M
Mapping the Interactions and Dynamics that Organize Bacteria CellsR01GM144731 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BITEEN, JULIE · 2022 to 2025
$1.2M
NIAID NIH HHS R01 AI172822NIGMS NIH HHS K12 GM111725NIGMS NIH HHS R01 GM141242NIGMS NIH HHS R01 GM143182NIGMS NIH HHS R01 GM144731
6 · The paper itself

Abstract

Biophysical properties play central roles in cellular function by controlling the diffusion and spatial organization of biomolecules. Because bacteria lack a nuclear membrane, biophysical measurements are often averaged over the entire cell. However, the nucleoid environment is distinct from that of the surrounding cytoplasm, and averaging also ignores local characteristics within the nucleoid. Here, we developed a microrheology framework to quantitatively characterize the bacterial nucleoid and investigate the interplay of its physical properties with cellular processes. We combined single-particle tracking of a genetically encoded protein probe and three-dimensional (3D) Brownian dynamics simulations to separate the nucleoid from the cytoplasm and specifically measure nucleoid accessibility and viscosity. We found that the nucleoid viscosity is 2.5-fold higher than the cytoplasmic viscosity, and that both viscosity and accessibility change systematically across growth phases and the cell cycle. Inhibiting transcription or translation produces opposite changes in nucleoid viscosity in exponential versus stationary phase cells, indicating that the regulation of nucleoid viscosity is sensitive to the underlying biomolecular composition, crowding, and spatial organization. Using Hi-C assays, we further show that changes in nucleoid viscosity may occur without detectable alterations in genome organization, which suggests that nucleoid mechanics provide an independent regulatory mechanism. Spatially, viscosity differences are more pronounced between the nucleoid core and periphery than between genomic locations, and the periphery-core contrast correlates with the coupling of transcription, translation, and membrane insertion. Together, these results indicate that the bacterial nucleoid is a dynamic, heterogeneous viscoelastic environment in which actively regulated biophysical properties may help coordinate multiple cellular processes and provide a physical layer of control that complements canonical biochemical regulation.

Indexed as

Bacterial GenomeHi-CSingle-Particle TrackingSubcellular MicrorheologySuper-Resolution Microscopy

Identifiers

PMID41756875
PMCPMC12934742

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.