SUMMARY
Biomolecular condensates have emerged as major drivers of cellular organization. It remains largely unexplored, however, whether these condensates can impart mechanical function(s) to the cell. The heterochromatin protein HP1α (Swi6 in Schizosaccharomyces pombe) crosslinks histone H3K9 methylated nucleosomes and has been proposed to undergo condensation to drive the liquid-like clustering of heterochromatin domains. Here, we leverage the genetically tractable S. pombe model and a separation-of-function allele to elucidate a mechanical function imparted by Swi6 condensation. Using single-molecule imaging, force spectroscopy, and high-resolution live-cell imaging, we show that Swi6 is critical for nuclear resistance to external force. Strikingly, it is the condensed yet dynamic pool of Swi6, rather than the chromatin-bound molecules, that is essential to imparting mechanical stiffness. Our findings suggest that Swi6 condensates embedded in the chromatin meshwork establish the emergent mechanical behavior of the nucleus as a whole, revealing that biomolecular condensation can influence organelle and cell mechanics.
In brief
In this work, Williams et al. reveal a mechanical role for biomolecular condensation in supporting nuclear mechanics through genetic dissection of the mechanisms by which heterochromatin protein HP1α (Swi6) influences nuclear stiffness.
Graphical abstract

INTRODUCTION
The cell nucleus provides a mechanically resilient compartment that encapsulates and protects the genome.1,2 The nuclear compartment is defined by the nuclear envelope, an integrated network of the inner and outer nuclear membranes, nuclear pore complexes, inner nuclear membrane proteins, peripheral chromatin, and, in higher eukaryotes, a polymer mesh of intermediate filaments (lamins).3–5 Maintaining the integrity of the nuclear envelope is critical for cell survival, and mechanical defects that lead to nuclear blebbing and rupture are tied to human disease.1,2 Nuclear ruptures can occur during cellular migration, when cells move through tissue and experience significant compressive force,6,7 but even intrinsic cytoskeletal forces in adherent or contractile cells are strong enough to induce nuclear rupture, indicating that the nucleus is under constant strain from its own cellular architecture.8,9
In an effort to understand how the nucleus withstands these mechanical forces, much work has focused on the contribution of the nuclear lamina.10,11 However, we previously demonstrated that the tethering of chromatin to the nuclear envelope is critical for maintaining nuclear stiffness in fission yeast, which lack nuclear lamins.12 Other studies in mammalian cells have further demonstrated the unique mechanical role of chromatin in its contribution to the nuclear force response to small deformations (1–3 μm), while A-type lamins are critical for the force response to large deformations (>3 μm).13 Additionally, when chromatin compaction is globally altered through histone deacetylase or demethylase inhibition, the relative proportion of euchromatin to heterochromatin affects the overall stiffness of the nucleus.14 Thus, both the lamina and the underlying chromatin are important for maintaining mechanical stability, yet each plays a separate role related to the physical—and perhaps temporal—scale of the external strain. Indeed, increasing the amount heterochromatin is sufficient to rescue the nuclear irregularity and nuclear blebbing phenotype seen in HeLa cells expressing the mutant form of lamin A (progerin) of the premature aging disease Hutchinson-Gilford progeria syndrome.14 Together, these studies suggest that, in addition to its function as a transcriptional insulator,15 heterochromatin acts as a dynamic mechanical scaffold for the nucleus16; however, the biophysical mechanisms by which heterochromatin can influence nuclear mechanics remain largely undefined.
An evolutionarily conserved feature of nuclear organization is the association of heterochromatin with the nuclear periphery. This localization has classically been thought to reflect the ability of heterochromatin to promote gene silencing. Several studies, however, suggest that the causality of the periphery-silencing relationship may be more complex, implying that there may be additional function(s) for peripherally located heterochromatin. Indeed, in Caenorhabditis elegans, heterochromatin positioning at the nuclear periphery does not dictate gene silencing.17 Moreover, leveraging the model of rod cells with “inverted” nuclei, re-localization of heterochromatin from the periphery to the center of the nucleus was found to alter neither gene expression nor chromatin organization at the hundreds of kilobases to many megabases scale.18 Our previous work demonstrated that chromatin tethering to the nuclear periphery is important for resisting nuclear deformations in response to microtubule forces in fission yeast,12,19 which is echoed by studies in mammalian cells.14,20 Here, we further test the hypothesis that a primary function of peripherally located heterochromatin is to mechanically support the nuclear envelope.
The potential mechanism for this mechanical support stems from recent evidence suggesting that a key protein responsible for heterochromatin compaction and gene silencing—heterochromatin protein (HP1α)—is important for maintaining normal nuclear morphology and stiffness without affecting heterochromatin’s peripheral localization21 and forms phase-separated, HP1α-rich heterochromatin domains.22,23 These (and other) biomolecular condensates often exhibit liquid-like properties, including surface tension and viscosity.24–29 One model proposes that the surface tension of heterochromatin-associated condensates, enhanced by strong electrostatic interactions as observed for HP1α,30 would resist deformation. Alternatively, or in addition, a distinct model of “elastic ripening” is being developed,31 in which the formation of condensates embedded in a polymer network gives rise to a composite system with emergent or synergistic mechanical properties. Lastly, while it has been proposed that biomolecular condensates can do mechanical work,32 for example, to drive local membrane bending33–35 or, in an artificial system, to bring two chromatin loci together,36 whether biomolecular condensation can drive emergent mechanical behaviors at the scale much larger than an individual condensate (i.e., at the level of organelles and cells) has yet to be explored.
To biomechanically define the features of HP1α/Swi6 heterochromatin domains, we employed both in vivo fluorescence microscopy and in vitro force spectroscopy techniques. We demonstrate that heterochromatin domains respond to mechanical force with viscoelastic properties, and that proper coalescence of the domains—specifically telomeres—depends on HP1α/Swi6. Using single-molecule imaging, we describe a separation-of-function allele of HP1α/Swi6 (swi6-sm1), which displays disruption of the biomolecular condensation of heterochromatin domains despite normal H3K9me2/3 binding and crosslinking in vivo. This defect in Swi6 condensation leads to depletion of mobile Swi6 at heterochromatin domains and concomitantly leads to substantially softer nuclei both in vitro and in vivo. Taken together, our findings argue that it is the condensation of HP1α/Swi6 at heterochromatin domains, rather than the binding and/or crosslinking of H3K9me2/3 nucleosomes, that contributes to the overall stiffness of the nucleus, showcasing a role for biomolecular condensates within a biological meshwork (the chromatin) in driving the emergent mechanical stiffness of a membrane-bound compartment.
RESULTS
Heterochromatin domains exhibit liquid-like properties in vivo that respond to cytoskeletal forces
The heterochromatin protein HP1α/Swi6 is a key component of centromeric and telomeric heterochromatin, contributes to its condensation and transcriptional repression,37–39 and has been shown to oligomerize and form phase-separated domains that facilitate heterochromatin formation.22,23,40 With this in mind, we sought to further characterize the liquid-like properties of Swi6 at two regions at which it is highly enriched: the centromeres and the telomeres.37,41,42
When Swi6 is visualized as a fluorescent protein fusion expressed from its endogenous locus (Swi6-GFP), it resides in several nuclear foci/domains (Figure 1A, top). The largest domain comprises the centromeres of the three chromosomes, which are coupled to the spindle pole body (SPB) interface (Figure 1A, bottom). The other, smaller heterochromatic foci contain the six telomeres, the mating type locus, and other silenced regions of the genome and are typically associated with the nuclear envelope far from the SPB. In Schizosaccharomyces pombe, microtubules (MTs) continuously translocate the SPB, which transmits the MT-dependent force onto the centromeric heterochromatin. As the centromeric heterochromatin is driven across the nucleus by MT forces, we routinely observe a morphologic transition from a circular domain (as visualized from a two-dimensional image plane; Figure 1B) when “at rest” (at t = 0) to an elliptical domain when under maximum MT shearing force (at t = 30–80 s), stretching along the SPB oscillation axis (Figure 1B; see also insets of reconstructed contours in green). At various time points during this translational motion (t > 60s), the centromere displays an apparent fission into smaller, individual domains that later merge (t > 100s). These observations suggest that mechanical forces from the cytoskeleton are directly transduced to heterochromatin, leading to changes in domain morphology consistent with liquid-like reorganization.26,43 We therefore considered the possibility that heterochromatin domains can act as mechanical cushions, absorbing MT-driven forces exerted upon the nucleus through their resistance to deformation and/or their effects on the emergent properties of the chromatin itself.
Figure 1. Heterochromatin domains exhibit liquid-like properties in vivo that are tied to normal telomere clustering.

(A) Schematic representation of the distribution of heterochromatin (HC) domains in S. pombe as visualized by expression of Swi6-GFP (light green) from its endogenous locus. Heterochromatin domains are subject to shearing forces driven by MT dynamics.
(B) Heterochromatin domains are deformed in response to MT-driven nuclear oscillations. Time-lapse montage of cells expressing Swi6-GFP shows a large heterochromatin focus (blue arrowhead) transitioning from a round to an oblong shape that aligns with the long axis of the cell as it is translated in response to MT dynamics (orange arrowheads, t = 30 to t = 80 s); image insets display the contour of thresholded Swi6-GFP foci. At t = 60 s, the focus begins to separate into two foci, and after MT dynamics cease (t = 100 s), these foci begin to coalesce. Scale bar, 2 μm.
(C and D) Under normal conditions, the six fission yeast telomeres typically cluster into ~1–3 foci during interphase that de-cluster in response to either 1,6-hexanediol treatment or deletion of Swi6. (C) Fluorescence maximum intensity projections of representative S. pombe cells expressing Taz1-GFP with 1–6 telomere clusters (see also Figure S2). Scale bar, 2 μm. (D) Percentage of cells containing the indicated number of Taz1-GFP foci; foci per cell were counted and grouped by cell length as a proxy for cell cycle progression. In WT cells (n = 130), roughly half the population contained 1–2 (dark blue) or 3–4 (light blue) Taz1-GFP foci across the cell cycle. Upon exposure to 1,6-hexanediol (n = 135), Taz1-GFP foci number increased, particularly during G2, indicating telomere de-clustering. In cells lacking Swi6 (n = 150), significant telomere de-clustering relative to WT cells was observed. *p < 0.05, ****p < 0.0001 by Fisher’s exact test.
Consistent with previous observations for HP1α in mammalian cells,23 the addition of 5% of the aliphatic alcohol 1,6-hexanediol for 15 min, which disrupts weak hydrophobic interactions, leads to both a rapid decrease in both the size and intensity of nuclear GFP-Swi6 foci as well as the accumulation of a diffuse pool of GFP-Swi6 in the cytoplasm (Figure S1). However, a pool of GFP-Swi6 is retained within the heterochromatin foci, which are expected to be 1,6-hexanediol resistant due to direct binding via the Swi6 chromodomain (CD) to nucleosomes, particularly those containing histone H3 di- or tri-methylated at lysine 9 (H3K9me2/3). Taken together, these observations support the existence of at least two populations of Swi6 molecules within heterochromatin foci: one directly bound to chromatin through the Swi6 CD and the other driven by biomolecular condensation that is sensitive to 1,6-hexanediol, consistent with our prior single-molecule experiments demonstrating four distinct diffusive states of Swi6.44 These observations suggest Swi6, as an ensemble, is an attractive candidate to impart viscoelastic properties to heterochromatin and, in turn, to the nucleus as a whole.
Heterochromatin domains exhibit liquid-like properties in vivo that are tied to normal telomere clustering
As a role for biomolecular condensation in driving telomere clustering in cancer cells has been described previously,45,46 we also suspected that liquid-like fusion could drive the coalescence of the six (replicated) heterochromatic telomeres, which are clustered together at the nuclear periphery in S. pombe.47 When visualized by expressing a GFP fusion of Taz1, a shelterin complex subunit that specifically binds telomeric DNA,48 approximately half of nuclei display one or two foci containing the six telomeres, with the other half displaying up to four foci (Figures 1C, 1D, and S2). This behavior is largely cell cycle independent, as assessed using cell length as a proxy for cell-cycle progression (Figure 1D). To further interrogate whether telomere clustering relies on liquid-like condensation mediated by weak hydrophobic interactions, we treated cells with 1,6-hexanediol (5% for 30 min). This perturbation resulted in an increase in the number of Taz1-GFP foci per nucleus as the telomeres de-clustered (Figure 1D).
Similar to the 1,6-hexanediol treatment, we found that swi6Δ cells have an increase in the number of Taz1-GFP foci per nucleus (Figure 1D), indicating a clustering defect and a reliance on Swi6 for proper telomere coalescence. We note that, even in this condition, many cells display fewer than six discernible telomere foci, which we suspect occurs due to stochastic coincidence of telomeres in the nuclear volume or an inability to fully visualize the dimmer, de-clustered telomeres. Taken together, these observations suggest that Swi6 heterochromatin foci have a component of their behavior that is liquid-like and sensitive to treatment with 1,6-hexanediol. Furthermore, Swi6 contributes to the normal coalescence of telomere foci in fission yeast.
It is important to note that in fission yeast (as in mammalian cells), Swi6 shares its transcriptional silencing functions with other CD proteins, including Chp1 and Chp2, which are necessary for the proper establishment and balance of heterochromatic regions, respectively.49,50 All three CD proteins rely on the H3K9 methyltransferase Clr4 to be recruited to methylated histones of heterochromatic domains.49,51 Their protein structures, however, differ from each other; for example, Chp1 lacks a chromoshadow domain and contains a much smaller N-terminal domain49 (Figure S3A). Under wild-type (WT) conditions, Chp1—like Swi6—binds to heterochromatin to form discrete foci (Figure S3B), and, also similar to Swi6, Chp1 is unable to bind and localize to heterochromatic foci in the absence of Clr449 (Figures S3C and S3G). When H3K9 heterochromatin was allowed to spread in the absence of the H3K9me2/3 demethylase Epe1,52 we observed that Chp1-GFP intensity increased at heterochromatin foci (Figures S3D–S3G), consistent with an enlargement of heterochromatin domains in Epe1-deficient cells. In the absence of Swi6, Chp1-GFP foci intensity also significantly increased (Figures S3E–S3G), suggesting competition of H3K9me2/3 binding between Swi6 and Chp1. With this, we can thus infer that the other CD proteins, even at increased levels, are unable to replace Swi6’s role in telomere clustering in swi6Δ cells (Figure 1D), highlighting a unique feature of Swi6.
The swi6-sm1 allele disrupts the ability of HP1α/Swi6 to promote the coalescence of heterochromatin domains
To determine the biochemical features of Swi6 tied to its ability to form and coalesce liquid-like heterochromatin domains, we turned to prior genetic analysis of Swi6 function. In particular, we interrogated the swi6-sm1 allele, which carries two mutations in its N-terminal domain, rendering it unable to silence heterochromatin while leaving its H3K9me2/3-binding activity, dimerization, and cohesin interactions unaffected53 (Figure 2A). In previous studies of Swi6, defects in its N-terminal phosphorylation by casein kinase II also led to loss of transcriptional silencing.54 Indeed, the D21G mutation encoded in the swi6-sm1 allele disrupts the casein kinase II recognition site for phosphorylation of serine 18; this site is phosphorylated in vivo and in vitro by casein kinase II, and its targeted mutation disrupts Swi6’s ability to promote gene silencing,54 thereby phenocopying the swi6-sm1 allele. As N-terminal phosphorylation enhances oligomerization leading to phase separation for both HP1α and Swi6,22,55 we hypothesized that the swi6-sm1 allele could disrupt Swi6’s ability to undergo biomolecular condensation.
Figure 2. The swi6-sm1 allele disrupts the ability of HP1α/Swi6 to promote the coalescence of heterochromatin domains.

(A) The swi6-sm1 allele encodes two mutations in the N-terminal domain of Swi6.
(B) Both WT Swi6-GFP and swi6-sm1-GFP localize to heterochromatin domains.
(C) Heterochromatin domain size and intensity measured using 3D domain reconstruction. Maximum intensity projections of transmitted light (upper left) and fluorescence images (upper right) of S. pombe cells expressing Swi6-GFP. Foci are grouped by cell (lower left) and individually reconstructed in three dimensions (lower right). Scale bars, 6 μm and 2 μm.
(D) The swi6-sm1 allele leads to a depletion of intermediate scale and intense heterochromatic domains relative to WT Swi6-GFP. Foci intensity versus cross-sectional area density scatterplots for Swi6-GFP (n = 2,500 foci) and swi6-sm1-GFP (n = 2,402 foci) labeled heterochromatin domains. ****p < 0.0001 by Kolmogorov-Smirnov test after calculation of cumulative distributions.
(E) The swi6-sm1 allele leads to telomere de-clustering in a manner similar to 1,6-hexanediol exposure and swi6Δ. Data expressed as in (and WT data replotted from) Figure 1D. In cells expressing swi6-sm1 (n = 145), the de-clustering effect recapitulates that seen with 1,6-hexanediol-treated cells or cells lacking Swi6. ***p < 0.001, ****p < 0.0001 by Fisher’s exact test. Scale bar, 2 μm.
(F) Summary of heterochromatin domain phenotypes. In WT cells, heterochromatin domains form discrete clusters. Treatment with 1,6-hexanediol, deletion of Swi6, or expression of the N-terminal mutant swi6-sm1 causes heterochromatin domains to decluster.
Like WT Swi6-GFP, swi6-sm1-GFP accumulates in foci within the nucleus close to the nuclear periphery (Figure 2). To begin to probe whether and how the swi6-sm1 mutation alters the coalescence of heterochromatin domains, we compared the size, intensity, and number of Swi6-GFP and swi6-sm1-GFP foci within individual nuclei (Figure 2B). To quantitatively compare foci size and intensity, we employed an image-analysis approach we previously established that reconstructs heterochromatin foci from image z stacks with sub-pixel resolution56 (Figure 2C). Comparing each focus’s intensity to its cross-sectional area in an ensemble scatterplot revealed divergent populations in Swi6-GFP versus swi6-sm1-GFP-labeled heterochromatin (Figures 2D and S4). In WT cells, Swi6-GFP heterochromatin domains comprise a nearly uniform distribution of intensities ranging from bright (centromeric heterochromatin) to dim (telomeric and other heterochromatin foci). Cells expressing swi6-sm1-GFP, however, display a depletion of intermediately intense heterochromatin foci, indicative of non-centromeric heterochromatin domain de-clustering (p < 0.0001). This depleted population is most likely to represent intact, condensed telomeric domains, indicating that swi6-sm1 affects proper telomere coalescence. To support this, expression of the swi6-sm1 allele with Taz1-GFP shows disruption of normal telomere clustering similar to complete loss of Swi6 or treatment with 1,6-hexanediol (Figures 2E and 1D). To the extent that the condensation of Swi6 facilitates proper telomere clustering, we conclude that the swi6-sm1 allele could specifically disrupt aspects of Swi6 function that underlie its ability to form condensates (Figure 2F).
The swi6-sm1 allele shows a depletion of mobile states despite normal chromatin and H3K9me2/3 binding in vivo
Previously, we used a single-molecule approach to track the dynamics of Swi6 in the fission yeast nucleus.44 We fused Swi6 to the photoactivatable fusion protein PAmCherry and captured the distinct biophysical states associated with its motion within its native chromatin context (Figures 3A and 3B). Through mutational analysis, we defined how each biophysical state of Swi6 is associated with a unique biochemical or structural property that influences how Swi6 behaves at sites of H3K9 methylation.44 Our analysis revealed four states of WT PAmCherry-Swi6 molecules with different diffusion coefficients (Figure 3C, crosses) and transition probabilities between the states (Figure 3D). The least mobile state (termed α, blue) comprises molecules bound to H3K9me2/3 (weight fraction, π ~25%), the intermediate states indicate molecules associated with unmethylated H3K9 nucleosomes (termed β, orange; π ~33%) or nucleic acids (termed γ, yellow; π ~15%), and the remaining, most mobile state is composed of unbound molecules (termed δ, purple; π ~27%) (Figure 3C).44 Note that this observed high-mobility state of Swi6 displays a ~40-fold slower diffusion coefficient (D = 0.51 μm2/s) than what has been reported for similar-size GFP-tagged HP1 monomers and dimers in euchromatic regions where it is expected to be relatively fully unbound/free.57 Thus, the δ state is slowed significantly compared to truly freely diffusing molecules, consistent with it representing unbound but restrained movement in the mobile phase of the condensate at heterochromatin domains. Indeed, the rapid diffusion of completely free monomers and dimers would not be detectable within the acquisition parameters optimized for our PAmCherry-Swi6 experiments.
Figure 3. The swi6-sm1 allele shows a depletion of mobile states despite normal chromatin and H3K9me2/3 binding in vivo.

(A) Schematic representation of Swi6. Each domain has a distinct biochemical property. NT, unstructured N terminus subject to phosphorylation that regulates Swi6 condensation in vitro (swi6-sm1 has two mutations as indicated); CD (chromodomain), H3K9me binding; H (hinge), nucleic acid binding; CSD (chromoshadow domain), protein oligomerization.
(B) Single-molecule tracking photoactivation localization microscopy (spt-PALM) of WT Swi6 and swi6-sm1 in the S. pombe nucleus. One to three PAmCherry-Swi6 molecules/nucleus are photoactivated (406 nm, 1.50–4.50 W/cm2, 200 ms), then imaged and tracked until photobleaching (561 nm, 71.00 W/cm2, 25 frames/s). The cycle is repeated 10–20 times/cell.
(C) SMAUG identifies four distinct mobility states (α, blue; β, orange; γ, yellow; and δ, purple) for PAmCherry-Swi6 and PAmCherry-swi6-sm1. Each point represents the average single-molecule diffusion coefficient, D, versus weight fraction of Swi6/swi6-sm1 molecules in that state at a saved iteration of the Bayesian algorithm after convergence. Dataset, PAmCherry-swi6-sm1: 29,657 steps from 3,744 trajectories and 97 cells. Crossbars: comparison to PAmCherry-Swi6 results from Biswas et al.44 with 10,095 steps from 1,491 trajectories and 36 cells.
(D) Average probabilities (arrows) of a PAmCherry-Swi6 molecule transitioning between the mobility states (circles) from Biswas et al.44 Each circle area is proportional to the weight fraction, π; D is in μm2/s. Low-significance transition probabilities below 0.04 are excluded.
(E) Average probabilities (arrows) of a PAmCherry-swi6-sm1 molecule transitioning between the mobility states (circles) as in (D) (see also Table S1).
In light of the quantitative defects observed in the heterochromatin domains formed in the presence of the swi6-sm1 allele (Figure 2), we sought to characterize how swi6-sm1 mutations affect the distribution of mobility states and thus infer how its two N-terminal mutations influence Swi6 dynamics. Overall, tracked PAmCherry-swi6-sm1 molecules move more slowly compared to PAmCherry-Swi6, as noted by the ~30% increase in the fraction of molecules in the H3K9me and chromatin-bound states (α and β states) (Figure 3C, scatter dots). Using single-molecule analysis by unsupervised Gibbs (SMAUG) sampling analysis,58 we distinguished four mobility states associated with PAmCherry-swi6-sm1, the same number as previously observed for WT PAmCherry-Swi6 (Figures 3C–3E). The swi6-sm1 mutations, however, led to significant changes in the distributions of molecules within each state (Figure 3C) and the transitions between them (Figure 3E; Table S1). Of note, the weight fraction, π, of the mobile (δ) Swi6 population, previously associated with unbound Swi6 molecules, decreased significantly from π = 27% to only 3% of all molecules. Concomitant with this decrease, there was an increase in the H3K9me2/3-bound (α) state weight fraction from π = 25%–32% and a substantial increase in the occupancy of the nucleosome-bound (β) state from π = 33% to 50%. We also analyzed the transition probabilities between the different mobility states and observed that a major difference between WT Swi6 and swi6-sm1 is a 4-fold increase in the transition probability between the δ and β states, suggesting that the small pool of free swi6-sm1 molecules is likely to associate with chromatin (H3K9me0 or H3K9me2/3). Taken together, these results confirm that PAmCherry-swi6-sm1 is fully competent to associate with chromatin and is, in fact, more likely to remain bound to nucleosomes compared to WT Swi6. Importantly, the increase in the percentage of chromatin-bound PAmCherry-swi6-sm1 molecules leads to a profound depletion of the mobile PAmCherry-swi6-sm1 pool and a substantial reduction in the likelihood of returning to the unbound state from the chromatin-bound state, a feature that potentially correlates with the fluidity of liquid-like Swi6 condensates.59
The swi6-sm1 mutations disrupt the ability of HP1α/Swi6 to form a condensed, mobile phase around H3K9me2/3 chromatin
To further interrogate how the swi6-sm1 mutations affect its global condensation at heterochromatin domains, we imaged diploid cells expressing either (1) one copy of WT Swi6-GFP and one copy of WT Swi6-mCherry (Figure 4A) or (2) one copy of WT Swi6-GFP and one copy of swi6-sm1-mCherry (Figure 4B). We hypothesized that the depletion of the condensed, mobile fraction of swi6-sm1 molecules as revealed by our single-molecule experiments would manifest as a decrease in the total number of Swi6 molecules at heterochromatin foci alongside an otherwise normal pool of relatively immobile swi6-sm1 molecules. Indeed, while both Swi6-GFP and swi6-sm1-mCherry co-localize within heterochromatin domains as expected due to intact H3K9me2/3 and dimerization properties (Figure 3), WT Swi6 accumulates to a greater extent, forming brighter foci than the mutant swi6-sm1 (Figure 4B) when compared to images of the WT/WT diploid, which we used to normalize the scale between the co-localized GFP and mCherry foci (Figures 4C and S5). When averaged over thousands of heterochromatin foci, the mean WT Swi6-GFP focus intensity profiles were similarly bright across the two diploid strains, while the mean swi6-sm1-mCherry focus intensity was reduced by ~25% compared to the WT Swi6-mCherry foci (Figure 4D). Comparison of the brightest, intermediate, and dimmest foci within each diploid nucleus revealed similar reductions in swi6-sm1 concentration, suggesting the mutant allele affects Swi6’s condensation properties across all sizes of heterochromatin domains, with bright foci corresponding to centromeric heterochromatin and intermediate to dim foci representing telomeric and other smaller heterochromatin domains (Figure 4E). Our findings suggest that one pool of Swi6 is bound directly to heterochromatin (intact in the swi6-sm1 allele), while a second pool is localized to and concentrated at heterochromatin domains via its condensation (disrupted in the swi6-sm1 allele). Taken together, our data argue that the swi6-sm1 allele represents a separation-of-function mutant with a specific defect in Swi6 condensation.
Figure 4. The swi6-sm1 mutations disrupt the ability of HP1α/Swi6 to form a condensed, mobile phase around H3K9me2/3 chromatin.

(A) Maximum intensity projections of fluorescence images of diploid S. pombe cells expressing Swi6-GFP/Swi6-mCherry. Inset shows a representative nucleus with detected Swi6 domains marked by intensity as bright (red, the brightest domain in the nucleus), dim (blue, the dimmest domain), and intermediate (cyan, all the remaining domains). Right panel shows distribution of bright, intermediate, and dim domains for combined domains across all cells with ≥3 foci. For display, the intensity between GFP and mCherry was normalized (calibration from C). Scale bar, 2 μm; inset, 1 μm.
(B) Same as (A) but for cells expressing Swi6-GFP/swi6-sm1-mCherry and using the same calibration between channels as in (A).
(C) Scatterplot of Swi6 foci intensities in diploid cells from nuclei with ≥3 foci, shown as mCherry signal versus GFP signal for Swi6-GFP/Swi6-mCherry cells (black, n = 584 nuclei; 2,648 foci) and Swi6-GFP/swi6-sm1-mCherry cells (purple, n = 538 nuclei; 2,327 foci). Red lines are best fit of a linear model y(x)= ax + b, with a = 0.4495, b = 1.142 × 105, and a = 0.3379, b = 8.655 × 104, respectively. Values in parentheses are 95% confidence intervals. Coefficient a = 0.4495 was used to rescale mCherry channel fluorescence in (A) and (B) (see also Figure S5).
(D) Average intensity profile for GFP and mCherry fluorescence for Swi6 domains after mCherry signal rescaling using calibration from (C).
(E) Pixel intensity as a function of distance from the center of Swi6 domain (determined in GFP channel) for GFP and mCherry signal for bright, intermediate, and dim domains. Upper panels, Swi6-GFP/Swi6-mCherry cells; bottom panels, Swi6-GFP/swi6-sm1-mCherry cells. *p < 0.05, **p < 0.01, ****p < 0.0001 by two-sample Kolmogorov-Smirnov test.
H3K9me2/3 and the condensed, mobile pool of Swi6 are required to impart nuclear stiffness in vitro
As we previously demonstrated that peripherally tethered chromatin at the inner nuclear membrane is a source of mechanical support for the nucleus,12 we sought to evaluate the mechanical contribution of Swi6, and specifically its ability to undergo condensation, on nuclear mechanics. To directly interrogate how fission yeast nuclei respond to explicit magnitudes, timescales, and compression/tension force regimes, we employed an in vitro force-spectroscopy approach on isolated nuclei that we developed previously12 to directly measure how altering the extent of H3K9 methylation or loss of HP1α/Swi6 condensation affects nuclear stiffness.
Nuclei expressing a GFP fusion of the nucleoporin Cut11 were isolated and used to perform single-nucleus force spectroscopy measurements using optical tweezers (Figure 5). To directly measure its mechanics, a nucleus is sandwiched between two silica beads, one larger bead adherent to a glass slide with the other, smaller bead trapped in the optical trap (Figures 5A and 5B). As the larger bead is moved by a piezo stage (), the displacement of the smaller bead in the trap is measured (); the difference in x-displacement is the amount by which the nucleus is either stretched or compressed (). Each oscillation yields force and displacement measurements that can be plotted with respect to each other (Figure 5C). The oscillation data display a linear relationship (black line), the slope (k) of which is equivalent to the spring constant, or effective stiffness, of the individual nucleus. Each nucleus is subjected to multiple rounds of tension and compression at varying timescales, with all oscillations performed over a range of biologically relevant frequencies: 0.01–2 Hz (Figure S6).
Figure 5. H3K9me2/3 and the condensed, mobile pool of Swi6 are required to impart nuclear stiffness as assessed in vitro.

(A) Transmitted light image showing the force spectroscopy configuration as viewed from above. Scale bar, 2 μm.
(B) Schematic representation of the force spectroscopy assay.
(C) Representative force versus extension curve of an isolated WT nucleus. Each data point (gray) represents the force applied to the nucleus and the resulting displacement over one oscillation (extension and compression). The data display a linear relationship (black line); the slope (k) is equivalent to the spring constant, or effective stiffness, of the individual nucleus.
(D) Effective stiffnesses of WT nuclei (black, n = 8 nuclei; 63 oscillations), KDM2/Epe1-deleted nuclei (pink, n = 18 nuclei; 172 oscillations), Suv39/Clr4-deleted nuclei (orange, n = 3 nuclei; 22 oscillations), HP1α/Swi6-deleted nuclei (green, n = 5 nuclei; 40 oscillations), and swi6-sm1-expressing nuclei (purple, n = 3 nuclei; 29 oscillations) over a range of oscillation frequencies (0.01–2 Hz). Data are represented as mean ± SD of the raw oscillation data at each oscillation frequency.
(E) Nuclear stiffnesses extracted from viscoelastic fit of data in (D). Data are represented as mean ± SD of the fitted values.
(F) Nuclear viscosity extracted from viscoelastic fit of data in (D). Data are represented as mean ± SD of the fitted values. N.D., not determined.
(G) Models of H3K9me heterochromatin with (left) and without (right) Swi6 condensation. Nucleosomes (gray) are methylated on histone H3K9 (yellow) by the methyltransferase Suv39/Clr4 (orange). Upon methylation, the heterochromatin protein Swi6 (green) binds H3K9me2/3, crosslinking adjacent nucleosomes to form compact heterochromatin. Condensation of additional, unbound Swi6 molecules forms an extended phase nucleated at these H3K9me2/3 chromatin regions (represented by green cloud). The demethylase KDM2/Epe1 (pink) reverses this process, countering heterochromatin formation by promoting H3K9me2/3 demethylation. swi6-sm1 (purple) binds to, crosslinks, and compacts H3K9me2/3 nucleosomes normally but disrupts the ability to condense and form this mobile phase.
(H) Schematic table representing the mechanical effects of altering H3K9me and binding proteins. *p < 0.05, **p < 0.01, ***p < 0.001, ***p < 0.0001 by ordinary one-way ANOVA with Dunnett’s correction for multiple comparisons.
The response to compression and tension forces revealed a pronounced mechanical defect in nuclei purified from a strain in which the Suv39/Clr4 H3K9 methylase was deleted, which is necessary for H3K9me2/3 heterochromatin domain formation and therefore lies upstream of Swi6. These nuclei displayed a ~50% decrease in effective stiffness over the range of oscillation frequencies (Figures 5D and 5E). Interestingly, loss of the presumed H3K9me2/3 demethylase KDM2/Epe1, which leads to a moderate expansion of heterochromatin domains52 (Figures S3D and S3F), leads to a ~30% increase in nuclear stiffness (Figures 5D and 5E), suggesting that the extent of H3K9 methylation can dictate the mechanical response of the nucleus to deformation.
We next tested whether Swi6 contributes to the mechanism by which the extent of H3K9 methylation affects nuclear stiffness. Strikingly, swi6Δ nuclei also had a ~50% decrease in stiffness, phenocopying clr4Δ nuclei (Figure 5D) and suggesting that Swi6 is integral to the mechanism by which H3K9me imparts nuclear stiffness. To investigate the aspect(s) of Swi6 function that underlie its mechanical contribution, we next evaluated the mechanical behavior of swi6-sm1 nuclei. To our surprise, although swi6-sm1 appears to be entirely competent for its direct biochemical association with H3K9me2/3 nucleosomes (Figure 3), these nuclei are mechanically deficient to the same extent as swi6Δ nuclei (Figure 5D). This finding suggests that it is the mobile molecules of Swi6 condensed at heterochromatin domains (not the molecules bound directly to H3K9me or nucleosomes) that play a critical role in the contribution of Swi6 to nuclear stiffness.
We previously observed that fission yeast nuclei display a viscoelastic response.12 Repeating oscillations at different frequencies can reveal the time-dependent (viscous) component of the nuclear response (see Figure S6). At longer oscillation frequencies (100 s or 0.01 Hz), we observed a characteristic reduction in effective stiffness—a non-linear mechanical response—in WT, clr4Δ, swi6Δ, and swi6-sm1 nuclei, indicating that these systems are not perfect springs but instead combinations of an elastic spring and a viscous dashpot, or dampener. To extract the individual mechanical properties of nuclear stiffness and viscosity, we performed non-linear regression applying the Maxwell viscoelastic model to our frequency series of effective stiffnesses (Figure 5D, solid lines). From the viscoelastic fits in (D), the nuclear stiffness was extracted for each genotype. As compared to the mean stiffness of WT nuclei (0.055 pN/nm), epe1Δ nuclei were stiffer (0.073 pN/nm), and clr4Δ, swi6Δ, and swi6-sm1 nuclei were softer (0.041 pN/nm, 0.033 pN/nm, and 0.030 pN/nm, respectively) (Figure 5E).
Relative to the viscosity of WT nuclei (1.72 pN s/nm), clr4Δ, swi6Δ, and swi6-sm1 nuclei were also significantly less viscous (0.51, 0.58, and 0.41 pN s/nm, respectively) (Figure 5F). In contrast, loss of Epe1 also led to an increase in nuclear viscosity to the extent that we were unable to be determine its value from the timescales sampled with our oscillation assay (note the complete time independence of the measured stiffness in Figure 5D). Thus, despite a rather subtle effect on the recruitment of swi6-sm1 to heterochromatin domains via its intact H3K9me2/3 binding and dimerization activities (Figures 3 and 4), the loss of its ability to undergo condensation and/or to drive coalescence of heterochromatin domains is critical to its mechanical contribution to nuclear mechanics (Figures 5G and 5H).
Loss of HP1α/Swi6 condensation increases MT-driven nuclear deformations in vivo
To assess how the loss of HP1α/Swi6 or abrogation of its condensation affects the nuclear response to MT dynamics, which primarily exert force through the SPB on the centromeric heterochromatin domain, we monitored nuclear envelope deformations in vivo (Figure 6A). To evaluate these nuclear deformations with precise spatial and temporal resolution, the nuclear envelope was labeled by expression of the nucleoporin Cut11-GFP and visualized in all four dimensions (4D: x, y, z, and time) by live-cell fluorescence microscopy (Figure 6B). We next employed a three-dimensional (3D) surface reconstruction software we previously developed12,56 applied to series of fluorescent z stacks with sub-pixel resolution to capture intrinsic MT-driven deformations (Figure 6C). As expected, the largest NE deformations manifest at points subjected to maximum shear forces as MTs drive SPB oscillations, which can be visualized as local maxima on the nuclear surface (Figures 6B, 6C, and 6D, left column); these maxima are lost upon MT depolymerization with the drug carbendazim (methyl-2-benzimidazole carbamate [MBC]) (Figure 6D, right column, and 6E, dashed lines). When averaged over hundreds of nuclei, the largest NE deformations occur at ~45° and 135° with respect to the long axis of the cell (Figure 6E, right panel, Figure S7)—the points at which the SPB is maximally translated due to the shearing force from the MTs (Figure 6A).
Figure 6. Loss of HP1α/Swi6 or its condensation increases MT-driven nuclear deformations in vivo.

(A) In S. pombe, shearing forces acting upon the nuclear envelope (red) arise from polymerizing MTs (black) at the cell tips that drive oscillation of the associated spindle pole body (SPB, tan) and are transmitted to the centromeric heterochromatin (large green domain).
(B) Fluorescence images of a WT S. pombe cell expressing Cut11-GFP demonstrating a typical nuclear deformation (arrowhead). Scale bar, 2 μm.
(C) 3D reconstructions of the nucleus. At t = 0 (left), the nucleus is circular; ~55 s later (right), the same nucleus undergoes an MT-dependent deformation (arrowhead).
(D) Representative single nuclear surface deformations with (left column) and without (right column) MT dynamics shown as topological heatmaps with respect to its latitudinal angle (points above and below the nuclear “equator”)—a band between +45 and −45°—and its longitudinal angle (points around the nucleus) between 0° and 360° (see also Figure S7).
(E) Root-mean-squared deformation size across all nuclei observed (left and middle) and all nuclear radial angles (right): WT (black, n = 760 nuclei; 12,556 deformations), swi6Δ (green, n = 218 nuclei; 4,421 deformations), swi6-sm1 (purple, n = 371 nuclei; 6,583 deformations). MBC-treated nuclei shown as dashed lines: WT (black, n = 58 nuclei; 561 deformations), swi6Δ (green; n = 69 nuclei; 976 deformations), swi6-sm1 (purple, n = 36 nuclei; 534 deformations). Data are represented as mean (± SEM in right plots in E). ****p < 0.0001 by Mann-Whitney U test.
Similar to the mechanical defect seen in our in vitro experiments, cells lacking Swi6 displayed larger deformations at all angles compared to WT cells, as reflected in the root-mean-squared deformation size in both the presence and absence of MT dynamics (Figure 6E, left and middle, p < 0.0001). Averaging over hundreds of nuclei and thousands of individual NE deformations, the locations of the deformations in swi6Δ cells mirrored the WT profile but were shifted toward larger deformations (Figure 6E, right). This suggests that loss of Swi6 leaves the geometry of forces exerted on the nucleus intact while reducing its ability to resist MT forces (in contrast to loss of Suv39/Clr4, which cannot be interpreted because this genetic background disrupts the characteristic MT-induced nuclear deformations; see Figures S8A and S8B).
Cells lacking Swi6 have a defect in cohesin loading at the centromeres,60 which are subjected to tangential MT forces in vivo (Figure 1). In contrast, the swi6-sm1 allele retains the ability to support normal centromeric cohesion41 and to associate with H3K9me2/3 nucleosomes (Figure 3) but depletes the mobile phase of Swi6 molecules and limits heterochromatin condensation of smaller domains (Figures 2, 3, and 4). This allele therefore provides an opportunity to investigate the Swi6 functions that contribute most to the response of the nucleus at the centromeric heterochromatin-MT interface. We observed that swi6-sm1 cells largely recapitulated the increase in nuclear deformability observed in swi6Δ cells, albeit to a slightly lesser extent (Figure 6E, p < 0.0001 as compared to WT). Taken together, these observations suggest that defects in Swi6 condensation at heterochromatin domains plays a more dominant role in the global, emergent viscoelasticity of the nucleus as a system measured in vitro, while there is a clear but less quantitative effect on local deformations in response to forces exerted on the centromeric heterochromatin-MT interface in vivo.
Expansion of heterochromatin or crosslinking of H3K9me2/3 nucleosomes by Swi6 is insufficient to impart nuclear stiffness in the absence of a mobile, condensed pool of Swi6
Cells harboring the swi6-sm1 allele have heterochromatin domain clustering defects (Figure 2), reduced Swi6 concentration at heterochromatin sites (Figure 4), and ultimately loss of global nuclear stiffness (Figures 5 and 6), all features we couple to the depletion of the mobile pool of Swi6 molecules even as the enhanced association of swi6-sm1 molecules bound to (and crosslinking of) nucleosomes (Figure 3) is insufficient to retain these features. To further probe this model in the context of WT Swi6, we sought to understand how expansion of heterochromatin domains affects Swi6 binding states, and, in turn, how this expansion affects nuclear mechanics. By single-molecule tracking, we previously observed that loss of H3K9me2/3 demethylation activity (by deletion of the H3K9me2/3 demethylase, KDM2/Epe1) does not significantly alter the relative populations of bound versus unbound Swi6 as compared to WT cells (Figure 7A, left, published data reproduced from Biswas et al.44). However, combined loss of Epe1 and Mst2, a histone acetylase that enhances heterochromatin spreading when deleted,52 leads to WT Swi6 being nearly entirely chromatin bound, while the mobile pool normally found in the condensate is depleted44 (Figure 7A, right, published data reproduced from Biswas et al.44), recapitulating the phenotype seen in swi6-sm1 cells (Figure 3C). We then tested whether heterochromatin spreading affects the in vivo nuclear force response. In this in vivo assay, which measured the local response to MT dynamics, we observed no significant difference in NE deformations in Epe1-deficient nuclei (Figures 7B, S8C, and S8D). Strikingly, however, we found that epe1Δmst2Δ cells displayed much larger NE deformations than WT or epe1Δ cells (Figure 7B), showing a paradoxical increase in nuclear deformability when heterochromatin spreads. We conclude that enhanced levels of H3K9me2/3 substantial enough to drive depletion of the mobile pool of Swi6 from the condensates compromise rather than reinforce nuclear mechanics.
Figure 7. Expansion of heterochromatin or crosslinking of H3K9me2/3 nucleosomes by Swi6 are insufficient to impart nuclear stiffness in the absence of a mobile, condensed pool.

(A) Depletion of both Epe1 and Mst2 (but not Epe1 alone), which drives heterochromatin spreading, leads to depletion of the mobile pool PAmCherry-Swi6. SMAUG analysis and plots as in Figure 3C. Individual points representing the cells lacking Epe1 (left) or Epe1 and Mst2 (right) correspond to the indicated mobility states with the WT genotype shown by the cross-hatches (data from Biswas et al.44).
(B) Expanding heterochromatin domains drive larger nuclear deformations. Root-mean-squared deformation size across all nuclei observed (left and middle) and all nuclear radial angles (right): WT (black, n = 760 nuclei; 12,556 deformations, replotted from Figure 6E), epe1Δ (pink, n = 215 nuclei; 3,610 deformations), epe1Δmst2Δ (red, n = 361 nuclei; 8,419 deformations). Data are represented as mean (± SEM in right plots in B).
(C) Diagram of WT Swi6 that assembles by oligomerization mediated by the chromoshadow domains (top) and an engineered H3K9me nucleosome crosslinking construct, PAmCherry-swi6-2xCD-GST (developed in Biswas et al.44).
(D) The PAmCherry-swi6-2xCD-GST construct (light colors, data from Biswas et al.44; 42,382 steps from 5,182 trajectories and 140 cells), which lacks the domains mediating Swi6 condensation, largely phenocopies the diffusive states displayed by PAmCherry-swi6-sm1 (dark colors). WT PAmCherry-Swi6 (crosshatches) data from Biswas et al.44; PAmCherry-swi6-sm1 data are replotted from Figure 3C (see also Table S1).
(E) Expression of the swi6–2xCD-GST construct leads to larger nuclear deformations. Root-mean-squared deformation size across all nuclei observed (left and middle) and all nuclear radial angles (right): WT with PAmCherry-Swi6 (black, n = 1,502 nuclei; 27,059 deformations), swi6Δ (green, n = 218 nuclei; 4,421 deformations; replotted from Figure 6E), swi6-sm1 (purple, n = 371 nuclei; 6,583 deformations; replotted from Figure 6E), and swi6-2xCD-GST (teal, n = 329 nuclei; 6,055 deformations). Data are represented as mean (± SEM in right plots in E). ****p < 0.0001 by Mann-Whitney U test.
To further challenge this interpretation, we tested the sufficiency of an engineered H3K9me2/3-containing nucleosome crosslinker composed of a glutathione S-transferase (GST) moiety (which we have previously shown inherently drives dimerization44,61) fused to one or two units of the Swi6 CD to influence nuclear deformability in cells lacking WT Swi6 (Figure 7C). These heterologous constructs, which lack the domains implicated in Swi6 condensation,44,62 show a similar depletion of the mobile/unbound state and are found predominantly bound to chromatin when examined by single-molecule tracking (Figure 7D, WT and swi6-2xCD-GST published data from Biswas et al.44; swi6-sm1 data replotted from Figure 3C for comparison). Concomitantly, we observed increased nuclear deformability upon expression of swi6-2xCD-GST (Figure 7E), highlighting again that driving H3K9me2/3 nucleosomes into dense arrays cannot support nuclear mechanics and indeed poisons mechanical robustness of the nucleus in the absence of WT Swi6, which otherwise would be condensed at heterochromatin domains. Thus, we conclude that Swi6 plays a key role in defining nuclear stiffness not by its heterochromatin-binding and crosslinking abilities but rather by its ability to undergo condensation into heterochromatin-associated droplets.
DISCUSSION
In an effort to understand the contribution of heterochromatin to nuclear mechanics, we combined the use of specific H3K9me-associated genetic variants with a complementary array of in vivo and in vitro assays aimed at elucidating its biophysical mechanism. Our results support a model in which the mobile, condensed phase of the heterochromatin protein HP1α/Swi6 is a significant contributor to the viscoelastic behavior of the nucleus. We propose that the ensemble mechanics of the nucleus arise from a composite system (individual, heterochromatin condensates enmeshed within the chromatin polymer) that has emergent properties, much like what is seen in aqueous foams (e.g., shaving cream).63 We suggest that it is this emergent property that provides a mechanism by which these condensates can support nuclear resistance to potentially damaging compression or tension forces. Moreover, this property likely influences the response to forces that can activate changes in the relative amount of heterochromatin, specifically of the H3K9me2/3-associated constitutive heterochromatin predominantly found at the nuclear periphery20,64,65 that may have large-scale consequences on gene silencing, regulation of cellular differentiation,66 and genome-protective nuclear softening. We also suggest that this composite system likely applies to other biomolecular condensates, particularly those that are enmeshed in biological polymers such as the cytoskeleton.
As described previously for HP1α and Swi6,22,23,67 our observations support a model in which Swi6 exhibits liquid-like properties. As telomere clustering is compromised upon loss of Swi6, expression of the swi6-sm1 allele, or treatment with 1,6-hexanediol, we suggest that the formation of Swi6-dependent condensates drives coalescence of telomeric heterochromatin, as has been suggested recently for telomeres in other contexts.45,46,49 The phenotypic mimicry of the swi6-sm1 allele supports previous work showing that the N terminus of HP1α/Swi6 serves an essential role in the formation of phase-separated domains.22,55 As the swi6-sm1 allele also confers a silencing defect despite normal recruitment to H3K9me regions,53 it also offers a potential link between HP1α/Swi6 condensation and transcriptional silencing, which will require further study.
While recent work affirms that degradation of HP1α also leads to softer nuclei in mammalian cells suggested to arise from disrupted crosslinking of H3K9me2/3 nucleosomes,21 our findings specifically suggest an alternate model for the underlying mechanism, namely that the ability of the mobile phase of HP1α/Swi6 to undergo condensation is essential to its contribution to nuclear stiffness. Previously, we showed that the tethering of chromatin to the nuclear membrane acts as a mechanical scaffold for the nucleus and that the nucleus behaves as a viscoelastic material, exhibiting both liquid and solid characteristics that are time dependent.12 This dual nature allows the nucleus to resist deformation (elasticity/stiffness) while allowing plasticity on longer timescales to enable chromatin flow within the nucleus (viscosity). The increased nuclear viscosity associated with expanding H3K9 heterochromatin domains in cells lacking Epe1 in our in vitro measurements further implies reduced chromatin flow under these conditions. In this context, expansion of small heterochromatin domains within the chromatin polymer mesh may promote a more elastic, solid behavior on the minutes timescale (Figure 5D). In vivo, however, loss of Epe1 has little effect on local nuclear deformations due to MT shearing force, while further expansion of heterochromatin with concomitant loss of Mst2 leads instead to increased nuclear deformability, suggesting that the loss (and not the gain) of the mobile, condensed Swi6 pool dominates the local nuclear behavior in response to intrinsic cytoskeletal forces. This mechanical transformation has potential implications for physiologic states where cells exhibit gains in repressive H3K9 methylation marks (for example, in response to critical stretching).20,65 Here, our data suggest that increases in H3K9 methylation not only act to repress transcription but could also increase nuclear stiffness and decrease nuclear viscosity when at moderate levels. However, high levels of H3K9 methylation could instead cause nuclear softening should it outpace the available pool of unbound HP1α/Swi6 in the heterochromatin-associated condensate—suggesting a “Goldilocks” balance required to retain both bound and mobile pools of HP1α/Swi6 to impart maximal nuclear stiffness.
Loss of HP1α/Swi6 in the condensate, either through complete deletion of Swi6 or by expression of the swi6-sm1 allele, destabilizes the nucleus, reducing both its ability to resist deformation and impede chromatin flow. This effect is similar to the softer, less viscous nuclei that lack the H3K9 methyltransferase, Clr4, which controls recruitment of heterochromatin-condensing proteins (including Swi6). The similarity in the mechanical consequences of disrupting Clr4 or Swi6 is consistent with a model in which the specific properties of Swi6 associated with heterochromatin are necessary for the mechanical effects of H3K9me2/3 heterochromatin to manifest rather than arising through a direct effect of H3K9 methylation levels. This finding also excludes a quantitative contribution of other H3K9me2/3-binding heterochromatin proteins such as Chp1 and Chp2 to nuclear mechanics, singling out Swi6 as both necessary and unique.
Building upon our previous work, which investigated how chromatin tethering to the nuclear envelope contributes to nuclear mechanics,12 we conclude that Swi6 condensates and the attachment of chromatin to the nuclear periphery make distinct contributions to the nuclear force response. In contrast to swi6Δ, swi6-sm1, or 1,6-hexanediol-treated cells, untethering chromatin from the nuclear envelope through deletion of the integral inner nuclear membrane proteins Heh1, Heh2, and/or Ima1 does not change the number of heterochromatin foci.12 At the same time, the Swi6-independent heterochromatin tethering protein Amo1 could promote normal heterochromatin-inner nuclear membrane interactions in cells with Swi6 defects as neither Swi6 nor Clr4 is required for the localization of Rix1PELP1-containing RNA processing complex (RIXC) at both heterochromatin boundary elements and Pol III-transcribed loci.68 In contrast, untethering of the telomeres from the nuclear periphery through deletion of the inner nuclear membrane-telomere anchor Bqt4 results in a visually noticeable detachment of telomeric Swi6 domains from the nuclear envelope,69 a response we do not observe with the GFP-swi6-sm1 constructs employed here. Lastly, we also noted that untethering mutants behave distinctly from swi6Δ and swi6-sm1 nuclei with respect to their time-dependent force response: untethering leads to a time-dependent nuclear softening—which is thought to be due to larger chromatin rearrangements made possible by the release of chromatin from the periphery—while swi6Δ and swi6-sm1 nuclear softening is time independent, primarily affecting the nuclear elasticity. Thus, the physical mechanisms by which Swi6 condensates and chromatin tethering affect nuclear mechanics are likely distinct and manifest their effects in different manners.
It is important to note that the biological importance of the ability of HP1α to undergo condensation in vitro on its in vivo function has been questioned, including the failure of HP1α overexpression to increase the size of heterochromatic domains as predicted for simple liquid-liquid phase-separation systems.70 However, the complexity of feedback within heterochromatin is rife with paradox (for example, the requirement for siRNA transcription to drive chromatin compaction and silencing in fission yeast).71 Indeed, Swi6 recruits the H3K9me2/3 putative demethylase Epe1 almost exclusively into heterochromatin domains,72 which would be expected to decrease available H3K9me2/3 marks and thereby delocalize H3K9me2/3-engaged Swi6 molecules, likely short-circuiting the ability of elevated Swi6 levels to drive heterochromatin spreading. Moreover, the binding of HP1α/Swi6 to H3K9me2/3 and its subsequent compaction of heterochromatin involves an integrated set of activities driven by its (1) CD avidity, (2) dimerization, (3) engagement of nucleosome arrays, and (4) condensation properties, all of which make it challenging to arrive at mechanistic conclusions without clear separation-of-function mutants or through engineered systems.70 We believe this study, and the use of the swi6-sm1 allele, provides an additional context in which condensation of HP1α/Swi6 has a critical function—namely, in supporting nuclear mechanics.
Taken together, our results suggest that the mobile, condensed phase of HP1α/Swi6 at heterochromatin domains contributes stiffness to the nucleus, similar to the ability of phase-separated droplets to provide structure to a polymer mesh in which they are embedded.73 Thus, we have extended the roles for biomolecular condensation in vivo beyond cellular compartmentalization to include mechanical functions at the level of micrometer-scale organelles, expanding our perspective on the multi-faceted functionality of condensates in cellular biology.
Limitations of the study
While our study provides evidence that Swi6 condensates underlie the mechanical contribution of heterochromatin to nuclear mechanics, some outstanding questions remain to be addressed. For example, further studies will be required to dissect whether the coalescence of smaller Swi6 condensates nucleated on individual H3K9me2/3-rich loci enhances their collective contribution to nuclear mechanics, as the swi6-sm1 mutation disrupts both activities. Moreover, as recent work revealed that condensation of Swi6 is dispensable during heterochromatin establishment but is essential for its maintenance,74 the ability to coalesce smaller heterochromatin domains into larger foci may also be vital for bridging distal chromatin regions to maintain a critical density of H3K9me2/3 during epigenetic inheritance. In either case, the observation that the swi6-sm1 allele affects both nuclear mechanics and transcriptional silencing suggests the exciting possibility that mechanical inputs could alter gene expression by modulating Swi6 condensate form or function; further study will be required to address this possibility. In addition, an explicit biophysical model to explain how Swi6 condensates impart nuclear stiffness remains to be defined, particularly whether they act cooperatively through the chromatin mesh or, alternatively, by virtue of their surface tension, which could counteract stress independently of the chromatin. While our data support the notion that the mechanical effects of the swi6-sm1 allele manifest through its defective biomolecular condensation rather than altered heterochromatin spreading (in contrast to epe1Δmst2Δ cells), further exploration of how H3K9me spreading and, relatedly, how chromatin conformation influences nuclear mechanics will require future investigation. Lastly, we also observed differences in the consequence of enhanced heterochromatin spreading upon Epe1 deletion in our in vivo and in vitro assays. While we suspect that this is likely due to differences in how this perturbation influences the centromeric heterochromatin locally (where forces are exerted by MTs) and the global, ensemble nuclear mechanics we measure by force spectroscopy, this model also remains to be tested.
STAR★METHODS
RESOURCE AVAILABILITY
Lead contact
Further information and requests for resources and reagents should be directed to and will be fulfilled by the Lead Contact, Megan King (megan.king@yale.edu).
Materials availability
All unique/stable reagents and strains generated in this study are available from the lead contact without restriction.
Data and code availability
The code generated during this study (3DMembraneReconstruction, Swi6/swi6-sm1 diploid heterochromatin domain detection and analysis, TweezersAnalysis, and NuclearFluctuations) is available on GitHub at https://github.com/LusKingLab/.
EXPERIMENTAL MODEL AND STUDY PARTICIPANT DETAILS
Cell culture and strain generation
The strains used in this study are listed in the key resources table (see also ref. 75). S. pombe cells were grown and maintained in standard cell culture conditions at 30°C.76 Genetic knock-outs were made by gene replacement of the open reading frames with the kanMX6,77 hphMX6, or natMX6 cassettes.78 C- and N-terminal GFP tagging was performed with pFa6a-GFP-kanMX677 or pFa6a-natMX6-Pnmt4177 respectively; the pFa6a-mCherry-kanMX6 cassette was also used as a template for C-terminal mCherry tagging.79 To edit PAmCherry-Swi6 to generate PAmCherry-Swi6-sm1, we used a CRISPR-Cas9 based approach. sgRNAs targeting the N terminus of Swi6 were generated and transformed as previously described in Torres-Garcia et al.80 along with a gene block (Twist Biosciences, CA) that contains the sm1 allele mutations (D21G, ΔE74) and synonomous substitutions that destabilize the sgRNA binding site. The resulting S.pombe colonies were screened using Sanger sequencing to confirm the desired mutation.80 All strains generated by cassette integration were confirmed by PCR and/or DNA sequencing. Strains made through genetic crosses were confirmed by the segregation of selection markers and/or by the presence of the designated fluorescently-tagged protein.
KEY RESOURCES TABLE.
| REAGENT or RESOURCE | SOURCE | IDENTIFIER |
|---|---|---|
|
| ||
| Experimental models: Organisms/strains | ||
|
| ||
| swi6-GFP:kanMX6 leu1-32 ura4-D18 | This work | MSKP2943 |
| kanMX6:nmt41:GFP-Swi6 cut11-mCherry:natMX6 leul? ura4? | This work | MKSP1191 |
| taz1-GFP:kanMX6 leu1? ura4-D18 | Hu et al.68 | MKSP1213 |
| taz1-GFP:kanMX6 swi6::natMX6 leu1? ura4-D18 | This work | MKSP3145 |
| chp1-GFP:hphMX6 sad1-mCherry:kanMX6 leu1? ura4-D18 | This work | MKSP2872 |
| clr4::ura4+ chp1-GFP:hphMX6 leu1? ura4-D18 | This work | MKSP2594 |
| epe1::natMX6 chp1-GFP:hphMX6 ura4-D18 leu1-32 | This work | MKSP2438 |
| swi6::natMX6 chp1-GFP:hphMX6 sad1-mCherry:kanMX6 leu1? ura4-D18 | This work | MKSP2874 |
| otr1::ura4+ swi6-sm1<<hphMX6 ura4 leu1 ade6-M216 | Yeast Genetics Resource Center | PR344; MKSP2861 |
| otr1::ura4+ swi6-sm1<<hphMX6-GFP:kanMX6 leu1-32 ura4-D18 | This work | MKSP2952 |
| swi6-sm1<<hphMX6 taz1-GFP:kanMX6 leu1? ura4-D18 | This work | MKSP3047 |
| h90 leu1-32 ade6-M216 ura4-D18 swi6 Δ:PAmCherry-swi6 | Biswas et al.40 | KR778 |
| h90 leu1-32 ade6-M216 ura4-D18 swi6 Δ:PAmCherry-swi6-sm1 | This work | KR2349 |
| ura4-D18 leu1-32 swi6::swi6-GFP:hphMX6/swi6::swi6-mCherry:kanMX6 otr1/otr1::ura4+ | This work | MKSP3222 |
| ura4-D18 leu1-32 swi6::swi6-GFP:hphMX6/swi6::swi6-sm1-mCherry:kanMX6 otr1/otr1::ura4+ | This work | MKSP3178 |
| cut11-GFP:ura4+ leu1-32 ura4-D18 | Nurse Lab Collection | PN3779; MKSP10 |
| swi6::kanMX6 cut11-GFP:hphMX6 leu1-32 ura4? | This work | MKSP1014 |
| clr4::ura4+ cut11-GFP:hphMX6 leu1-32 ura4-D18 | This work | MKSP1012 |
| epe1::natMX6 cut11-GFP:ura4+ leu1-32 ura4-D18 | This work | MKSP2487 |
| otr1::ura4+ swi6-sm1<<hphMX6 cut11-GFP:natMX6 leu1 ade6-M216 | This work | MKSP2871 |
| mst2::kanR epe1::natR cut11::cut11-GFP- ura4+ leu 1-32 ura4-D18 | This work | MKSP3229 |
| h90 leu1-32 ade6-M216 ura4D-18 swi6Δ:PAmCherry-swi6 epe1 Δ::kanMX6 cut11- mCitrine-natMX6 | Biswas et al.40 | KR856 |
| h90 leu1-32 ade6-M216 ura4-D18 swi6Δ:PAmCherry-swi6 mst2Δ::ura4+epe1 Δ::kanMX6 cut11-mCitrine-natMX6 | Biswas et al.40 | KR1428 |
| h90 leu1+:PAmCherry-Swi62xCD-GST-kanMX6 ade6-M216 ura4-D18 swi6Δ::natMX6 | Biswas et al.40 | KR1711 |
| cut11-GFP:ura4+ leu1-32 swi6Δ:PA-mCherry-Swi6 | This work | MKSP3705 |
| cut11-GFP:ura4+ leu1-32 swi6Δ:PA-mCherry-Swi6-2xCD-GST | This work | MKSP3707 |
|
| ||
| Software and algorithms | ||
|
| ||
| MATLAB version R2016b | MathWorks | https://www.mathworks.com/ |
| Fiji/ImageJ | Schindelin et al.73 | https://imagej.net/software/fiji/ |
| 3D GFP foci and HC foci reconstructions and analysis | Zhao et al.52 | https://github.com/LusKingLab/ |
| Single-molecule trajectory analysis with SMAUG algorithm | Karslake et al.54 | https://doi.org/10.1016/j.ymeth.2020.03.008 |
| Swi6/swi6-sm1 diploid heterochromatin domain detection and analysis | This work | https://github.com/LusKingLab/ |
| Force spectroscopy data analysis | Schreiner et al.12 | https://github.com/LusKingLab/ |
| Nuclear envelope deformation analysis | Schreiner et al.12 | https://github.com/LusKingLab/ |
| Microsoft Excel | Microsoft | https://www.microsoft.com/en-us/microsoft-365/excel |
| GraphPad Prism 9 | Dotmatics | https://www.graphpad.com/ |
METHOD DETAILS
Standard live-cell microscopy
S. pombe strains were grown in YE5S plus 250 mg/L adenine to log phase (OD600 0.5–0.8). Cells were mounted on agarose pads (1.4% agarose in EMM5S) and sealed with VALAP (1:1:1, vaseline:lanolin:paraffin). Cells treated with MBC (carbendazim, methyl-2-benzimidazole carbamate) were incubated on agar pads with 50 mg/mL MBC for 10 min before imaging. Cells treated with 1,6-hexanediol were incubated with final concentrations of 5% 1,6-hexanediol for 15 or 30 min as indicated in the legend and imaged directly thereafter. Live-cell images were acquired on a Deltavision Widefield Deconvolution Microscope (Applied Precision/GE Healthcare) with a CoolSnap HQ2 CCD camera (Photometrics) or an Evolve 512 EMCCD camera (Photometrics). For Swi6-GFP time-lapse imaging, single mid-plane z-slices with 0.15-s exposure time were taken every 5 s with the CCD camera. For telomere/Taz1-GFP imaging, 15 z-slices with 50-ms exposure time and 320-nm spacing were taken with the EMCCD camera. For Swi6/swi6-sm1-GFP imaging, 16 z-slices with 10-ms exposure time and 400-nm spacing with taken with the EMCCD camera. For Swi6/swi6-sm1 diploid imaging, 21 z-slices with 500-ms exposure time and 200-nm spacing with taken with the EMCCD camera. For nuclear contour imaging of Cut11-GFP, 10 z-slices with 20-ms exposure time and 400-nm spacing were taken every 2.5 s for 5 min with the CCD camera. For GFP-Swi6 imaging, 20 z-slices with 0.1-s exposure time and 200-nm spacing with taken with the EMCCD camera. For Chp1-GFP imaging, 20 z-slices with 0.2-s exposure time and 200-nm spacing were taken with the CCD camera.
Heterochromatin shape and telomere analysis
To characterize the shape dynamics of Swi6-GFP foci, single mid-plane z-slices were read in MathWorks MATLAB R2016b (Natick, MA, USA), binarized with a pixel threshold value of 0.8, and focus boundary x and yvalues were found using the function bwboundaries. X and yvalues for each Swi6-GFP focus shape was plotted using the MATLAB fill function.
For Taz1-GFP and cell length analysis only live, interphase cells that had completed cytokinesis were considered. Maximum intensity projections were displayed as described in the Figure legends. Images were analyzed in ImageJ (Fiji;81). To calculate the number of Taz1-GFP foci per cell, maximum Z-projections were generated and total number of Taz1-GFP foci per cell were counted. For statistical comparison, percentage of cells treated with 1,6-hexanediol, swi6Δ cells, and swi6-sm1 cells were individually compared to wild-type cells for each cell length (a proxy for cell cycle stage) using Fisher’s exact test.
Three-dimensional heterochromatin foci analysis
GFP-Swi6, Swi6-GFP, and swi6-sm1-GFP cross-sectional foci areas and intensities were measured using three-dimensional reconstructions of GFP foci with a custom MATLAB software as previously described.56 Foci were grouped by cell using a minimum separation distance of 40–50 pixels from the center of the grouping; this adequately grouped together foci of the same nucleus while excluding foci from nearby, neighboring cells. z stack images for each focus were individually fit with a three-dimensional Gaussian function to determine maximum focus width in both x and y-dimensions as well as foci integrated intensity. Foci intensity vs. cross-sectional area plots and histograms were generated using the MATLAB functions dscatter82 and scatterhist. For statistical comparison, Swi6-GFP (wild type) and swi6-sm1-GFP foci areas and intensities were compared using the Kolmogorov-Smirnov test.
Single-molecule tracking photoactivation localization microscopy (spt-PALM)
Yeast strains containing a copy of swi6-sm1-PAmCherry under the control of the native Swi6 promoter were grown in standard complete YES media (US Biological, cat. Y2060) containing the full complement of yeast amino acids and incubated overnight at 32°C. The seed culture was diluted and incubated at 25°C with shaking to reach an OD600 ~0.5. To maintain cells in an exponential phase and eliminate extranuclear vacuole formation, the culture was maintained at OD600 ~0.5 for 2 days with dilutions performed at ~12-h time intervals. To prepare agarose pads for imaging, cells were pipetted onto a pad of 2% agarose prepared in YES media, with 0.1 mM N-propyl gallate (Sigma, cat. P-3130) and 1% gelatin (Millipore, cat. 04055) as additives to reduce phototoxicity during imaging. S. pombe cells were imaged at room temperature with a 100 ×1.40 NA oil-immersion objective in an Olympus IX-71 inverted microscope. First, the fluorescent background was decreased by exposure to 488-nm light (Coherent Sapphire, 200 W/cm2 for 20–40 s). A 406-nm laser (Coherent Cube 405–100; 102 W/cm2) was used for photo-activation (200-ms activation time) and a 561-nm laser (Coherent-Sapphire 561–50; 163 W/cm2) was used for imaging. Images were acquired at 40-ms exposure time per frame. The fluorescence emission was filtered with Semrock LL02–561-12.5 filter and Chroma ZT488/561rpc 488/561 dichroic to eliminate the 561-nm excitation source and imaged using a 512 × 512-pixel Photometrics Evolve EMCCD camera.
Single-molecule trajectory analysis with SMAUG algorithm
Recorded swi6-sm1-PAmCherry single-molecule positions were detected and localized with 2D Gaussian fitting with home-built MATLAB software as previously described and connected into trajectories using the Hungarian algorithm.83,84 These single-molecule trajectory datasets were analyzed by a non-parametric Bayesian framework to reveal heterogeneous dynamics.58 This SMAUG algorithm uses non-parametric Bayesian statistics and Gibbs sampling to identify the number of distinct mobility states, , in the single-molecule tracking dataset in an iterative manner. It also infers the weight fraction, , and effective diffusion coefficient, , for each mobility state (), assuming a Brownian motion model. We ran the algorithm over >10,000 iterations to achieve a thoroughly mixed state space. The state number and associated parameters were updated in each iteration of the SMAUG algorithm and saved after convergence. The final estimation shows the data after convergence for iterations with the most frequent state number. Each mobility state, , is assigned a distinct color, and for each saved iteration, the value of is plotted against the value of . The distributions of estimates over the iterations give the uncertainty in the determination of . Furthermore, the transition probabilities (e.g., Figures 3D and 3E) give the average probability of transitioning between states from one step to another in any given trajectory.
Swi6/swi6-sm1 diploid heterochromatin domain detection and analysis
Swi6 heterochromatin domains were detected in 3D images in both GFP and mCherry channels independently using custom-written MATLAB code that finds irregular fluorescent blobs regardless of their shape (https://github.com/LusKingLab/Spot_Detection_n_Colocalization). First, the code identifies all pixels that are brightest within sub-volumes of a given size. Next, it calculates ratio of the mean intensities of “central” pixels (i.e., pixels within a given radius , from the brightest pixel) versus “edge” pixels (i.e., pixels within a spherical shell of a given thickness ith sphere radius). If the ratio is above a given threshold, the code keeps the identified spot and calculates its 3D position as a intensity-weighted centroid of pixels within radius, and its peak intensity as a mean intensity of pixels within radius. After spot identification, individual GFP and mCherry spots were paired if the peak positions were within 3 pixel distance. These paired spots were used to compare intensities between GFP and mCherry signals and to calibrate channels relative to each other (using data from cells bearing only wild-type Swi6 - Swi6-GFP/Swi6-mCherry cells), and to compare recruitment of Swi6-mCherry versus swi6-sm1-mCherry.
To analyze data for centromeric heterochromatin domains versus other heterochromatin domains, domains detected in the GFP channel were grouped into nuclei based on spatial proximity. Next, for each nucleus, the nuclear background intensity was determined as a median intensity value for all pixels within radius. Then, for each nucleus with at least two spots (), the peak intensity of each spot was assigned to the “bright” (i.e., centromeric), “intermediate”, or “dim” class. Note that in this “by nucleus” definition a bright spot from one nucleus might be dimmer than an intermediate spot from another. The peak intensities of the classified spots in the GFP channel were then compared to their paired intensities in the mCherry channel. To determine the calibration coefficient between GFP and mCherry channels, data from “centromeric” (“bright”) domains below an intensity threshold (to avoid the influence of few very bright domains) after correction for different exposure time were fitted by , resulting in calibration coefficient a = 0.4412, that was then used in the subsequent analysis.
Nuclear isolation
Nuclei were isolated as previously described in.12 Briefly, strains were grown to log phase in rich media (YE5S) at 30°C and diluted into 1 L YE5S for overnight growth. Cells were harvested the following day at an OD600 ~0.8 and incubated in 100 mM Tris pH 9.4 and 10 mM DTT for 10 min at 33°C to prepare for spheroplasting. Cells were spheroplasted in 0.4 mg/mL zymolase (MP Biomedicals), 0.6 mg/mL lysing enzymes (Sigma), 350 μL beta-glucuronidase (MP Biomedicals) and 5 mM DTT in 1.1 M sorbitol at 33°C for 2–3 h. Spheroplasts (nuclei) were isolated from cells by centrifugation using a series of three density-step sucrose gradients, and aliquots were flash frozen in liquid N2 and stored at −80°C. To thaw for use, one aliquot was dialyzed overnight in 500 mL dialysis buffer (80 mM PIPES, 5% DMSO, 2 mM MgCl2, 1 mM EGTA, 500 mM sucrose).
Force spectroscopy oscillation assay
Force spectroscopy was performed on isolated nuclei as described previously in Schreiner et al.12 In a flow cell, isolated S. pombe nuclei were trapped and fixed via electrostatic interactions to poly-ornithine-coated silica beads by micromanipulation using optical tweezers. Optical trapping and interferometry position detection was achieved using a single-beam gradient focus from a 3-watt 1064 nm ND:YAG laser. The focused laser was used to trap beads and nuclei within the flow cell, which was mounted onto a piezo-controlled stage with nanometer precision. To visualize each nucleus, an epifluorescence microscope was coupled with the optical tweezers, equipped with a 470 nm excitation source (blue light emitting diode). Each nucleus (using the optical tweezers) was affixed on its right side to a 5.2 μm bead adherent to a glass coverslip, which elevates the nucleus off the coverslip and provides a stationary structure upon which forces can be applied. Next, a smaller 1.2 μm bead (using the optical tweezers) is affixed to the left (free) side of the nucleus, creating a bead-nucleus-bead sandwich. While holding the smaller bead within the optical trap, the large bead and coverslip—attached to a piezostage—is respectively translated away and towards the optical trap by a pre-determined displacement () to exert respective tension or compression on the sandwiched nucleus. The resulting displacement of the small bead in the optical trap () is measured by its deflection within the trap using back focal plane interferometry via an infrared-enhanced quadrant photodiode. The difference in the two displacements is equal to the displacement of the nucleus (). To exert compression and tension forces, the stage is driven sinusoidally with an amplitude range of 60–100 nm (physiologic length scales), at discrete frequencies of 0.01–2 Hz.
Force spectroscopy data analysis
To determine the effective stiffness of the nucleus (), the system was treated as a spring that adheres to Hooke’s law (), where is the displacement of the nucleus (either in extension or compression) and is the force imparted to the nucleus from the oscillating stage. was calculated as the difference between the piezo stage displacement () and the displacement of the small bead from the center of the trap (). The force on the nucleus is equal and opposite to the force on the bead in the trap, therefore determining the stiffness of the trap allowed us to calculate the force acting upon the bead and thus the force acting upon the nucleus. The inherent stiffness of the optical trap was determined for each experiment by fitting the measured power spectral density of a trapped 1.2 μm bead with a Lorentzian function to extract the corner frequency.85 The trap stiffness is the ratio of this corner frequency to the bead’s friction coefficient. We subjected each nucleus to multiple rounds of compression and extension at different frequencies (0.01–2 Hz), enabling us to observe any time-dependent mechanical properties. We then fit the effective stiffness data with a Maxwell viscoelastic model to extract the elastic (spring) and viscous (dashpot/dampener) components, and respectively, using the corresponding fitting function for the effective stiffness:
Nuclear envelope deformation analysis
NE contour fitting and deformation time analysis were performed as previously described in12 and.56 Briefly, our contour fitting algorithm reconstructed the three-dimensional nuclear shape with sub-pixel resolution from a z stack of 10 two-dimensional images by optimizing NE shape to simultaneously maximize the total intensity of the nuclear envelope across the z stack and minimize the NE’s total curvature. To avoid the effects of aberration and difficulties with image noise at the nuclear caps in the z-dimension, we limited our deformation analysis to a band 45° above and below the center/“equator” of the nucleus (Figures 6D and S7A). After the 3D shape reconstruction at each time point (denoted by the radial distance from the nuclear center at vertex angle at frame ), a time-average shape was calculated and shape deformations were detected by deviation of the radial distance from a time-averaged radial distance at that same position. The average, or root mean squared, deformation size was calculated according to:
Where is the total number of frames, is the radial distance from the nuclear center at vertex angle at frame and denotes the time-averaged radial distance. Individual deformations were tracked over time using 2D particle tracking, assigning longer deformations (>10 frames/25 s) to those induced by microtubules and shorter deformations arising from baseline thermal activity. Peak height, formation (rise) time, and resolution (decay) time were determined by fitting each deformation trajectory to a single, asymmetric triangle waveform.
QUANTIFICATION AND STATISTICAL ANALYSIS
Statistical details (statistical tests used, exact value for n, what n represents, definition of center, and dispersion and precision of measures) for each experiment can be found in the Figure legends. Microsoft Excel (Redmond, WA, USA) was used to tabulate values, GraphPad Prism 9 (La Jolla, CA, USA) was used to create simple plots (Figures 1D, 2E, 5C, 5D, 5E, 5F, S1C, S1D, S3F, S4 and S6) and perform statistical analysis, and MathWorks MATLAB R2016b (Natick, MA, USA) was used for all other analysis and plotting. *p < 0.05; **p < 0.01; ***p < 0.001; ****p < 0.0001 by Fisher’s exact test, ordinary one-way ANOVA with Dunnett’s multiple comparisons test, unpaired t test, Kolmogorov-Smirnov test, or Mann-Whitney U test.
Supplementary Material
Highlights.
HP1α (Swi6) is critical for nuclear resistance to external force
H3K9me2/3 and chromatin-bound Swi6 are insufficient to promote nuclear stiffness
The contribution of Swi6 to nuclear mechanics requires its ability to undergo condensation
100-nm-scale biomolecular condensates can affect micrometer-scale organelle mechanics
ACKNOWLEDGMENTS
We thank members of the King, Mochrie, and Lusk laboratories for helpful discussions, commentary, and troubleshooting, in particular Hao Yan, Elisa Rodriguez, Andrea Nguyen, and Patrick Lusk. We thank Saikat Biswas for his initial support in creating the PAmCherry-swi6-sm1 strain for single-molecule measurements. We thank the Yeast Genome Resource Center at Osaka University and the many investigators who have deposited strains at this resource. This work was supported by the NIH Pre-doctoral Program for Cellular and Molecular Biology (T32GM00722343), the NSF (CMMI-1334406) to M.C.K., NIH award R35GM153474 to M.C.K., the Physical and Engineering Biology Program at Yale, a National Science Foundation Understanding Rules of Life Award (2316281) to J.S.B. and K.R., NIH award R35GM137832 to K.R., and American Cancer Society (RSG-22-117-01-DMC) to K.R.
Footnotes
DECLARATION OF INTERESTS
The authors declare no competing interests.
SUPPLEMENTAL INFORMATION
Supplemental information can be found online at https://doi.org/10.1016/j.celrep.2024.114373.
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Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
The code generated during this study (3DMembraneReconstruction, Swi6/swi6-sm1 diploid heterochromatin domain detection and analysis, TweezersAnalysis, and NuclearFluctuations) is available on GitHub at https://github.com/LusKingLab/.
