Abstract
At the end of mitosis, eukaryotic cells must segregate both copies of their replicated genome into two new nuclear compartments1. They do this either by first dismantling and later reassembling the nuclear envelope in a so called “open mitosis”, or by reshaping an intact nucleus and then dividing into two in a “closed mitosis”.2,3 While mitosis has been studied in a wide variety of eukaryotes for over a century4, it is not known how the double membrane of the nuclear envelope is split into two at the end of a closed mitosis without compromising the impermeability of the nuclear compartment5. In studying this problem in the fission yeast Schizosaccharomyces pombe, a classical model for closed mitosis5, we use genetics, live cell imaging and electron tomography to show that nuclear fission is achieved via local disassembly of the nuclear envelope (NE) within the narrow bridge that links segregating daughter nuclei. In doing so, we identify a novel inner NE-localised protein Les1 that restricts the process of local NE breakdown (local NEB) to the bridge midzone to prevent the leakage of material from daughter nuclei. The mechanics of local NEB in a closed mitosis closely mirror those of NEB in open mitosis3, revealing an unexpectedly deep conservation of nuclear remodelling mechanisms across diverse eukaryotes.
A key event in the process of cell division in eukaryotes is the partitioning of the nuclear genome into two nuclear compartments. To achieve this, replicated sister chromosomes detach from the inner nuclear envelope (NE)3, enabling them to be separated from one another through the work of a microtubule-based spindle6, before being sorted into two new, physically separate nuclei at mitotic exit. Eukaryotic cells have adopted a wide spectrum of strategies to coordinate nuclear remodelling with chromosome segregation7. At one extreme, in a so called “open mitosis”, cells first disassemble the nuclear lamina and the continuous nuclear envelope (NE) at mitotic entry, and then reverse this process by reassembling the structure around separated chromosomes at mitotic exit. At the other extreme, in a “closed mitosis”, because the nuclear/cytoplasmic compartment barrier remains intact throughout the division process, spindle poles must be inserted into the nuclear envelope8 to form an intranuclear spindle that can drive chromosome segregation. This spindle is then disassembled as the NE is divided into two9. While these different modes of nuclear division share key features, and despite there being a range of intermediate states10,11, the resolution of a closed mitosis presents a unique topological challenge. Currently it is not understood how this is overcome to enable organisms undergoing a closed mitosis to divide the double NE without compromising nuclear integrity.
To shed light on this process, we chose to study nuclear division in the fission yeast, Schizosaccharomyces pombe (S. pombe), which serves as an experimentally tractable example of an organism that undergoes a classic closed mitosis. Previous studies have shown that the S. pombe nucleus does not tear at mitotic exit12, as it does in the related yeast S. japonicus. Instead the nucleus constricts to form a dumbbell shape with a thin nuclear bridge around the anaphase spindle5. While the organisation and dynamics of the anaphase spindle have been studied in some detail13–15, it is not known how the nuclear envelope is then remodelled to generate two new nuclei at the end of this process without compromising the nuclear/cytoplasmic compartment barrier.
To explore this question, we used a synthetic nuclear-localised GFP construct to characterise the dynamics of nuclear fission, and to determine the extent to which the nuclear permeability barrier is maintained throughout the process (Fig. 1a, 1b). Although nuclear GFP levels remained constant throughout the division process (as expected for a closed mitosis), we observed a gradual loss of GFP from the nuclear bridge prior to nuclear division (Fig 1b, using an automated analysis pipeline described in Extended Data Fig. 2a and Methods). Importantly, this occurred without the visible leakage of GFP from daughter nuclei (Figure 1a). Imaging the nuclear envelope remodelling over the same time period is complicated by the fact that in fission yeast, as in other eukaryotes, the outer face of the nuclear envelope is continuous with the 3D mesh of tubules and sheets constituting the endoplasmic reticulum (ER; Fig. 1c and Extended Data Fig. 1a)16. In searching for a better marker of the inner nuclear envelope to image this process live, we homed in on a hitherto-uncharacterised candidate SPAC23C4.05c, owing to its homology to the stress-responsive NE protein Ish1 (Extended Data Fig. 1c-e) and its strong negative genetic interactions with ESCRTIII proteins (Extended Data Fig. 1b)17. SPAC23C4.05c localises exclusively to the nucleoplasmic surface of the inner NE throughout the cell cycle (Fig. 1c, Extended Data Fig. 2d-e) without labelling ER tubules or cortex. Strikingly, SPAC23C4.05c was also seen concentrated at the stalk of each daughter nucleus during anaphase - a phenotype for which we named the protein Les1, or LEM-like Enriched in Stalks (See Methods for further details).
Using Les1 as a marker, we were then able to follow in detail the dynamic changes in nuclear shape that accompany spindle elongation – as a single nucleus divides into two via a characteristic dumbbell-shaped intermediate (Fig. 1d). The kinetics of spindle elongation are highly reproducible18, allowing us to align single-cell trajectories to the time point at which the spindle reaches its maximum length (see also Methods). At early stages of bridge formation, Les1 was found to concentrate in stalks originating at the neck of each daughter nucleus (Fig. 1d-e). At maximum spindle elongation, Les1 was visibly depleted from the midzone of the bridge (Fig. 1d); a process that was followed, within a few seconds, by the breakage of the spindle (Fig. 1d and Extended Data Fig. 2b).
Since these observations pointed to the midzone of the bridge as the site where nuclear fission likely occurs, we used correlative light microscopy and electron tomography of Les1-mNeonGreen/mCherry-Atb2 dual-labeled cells (Fig. 2a) to characterise early and late nuclear bridges (Fig. 2b-c and Extended Data Fig. 3a). In early bridges, the nuclear envelope was seen to envelop the spindle (narrowing at the base of the stalks and widening towards the midzone) and was studded with nuclear pores (Fig. 2b). At an intermediate stage, the nuclear pores were completely excluded from the stalk and clustered in a central bulge (Extended Data Fig. 3b). By contrast, in late stage bridges, while the NE still enveloped the spindle within stalks, there was no evidence of a continuous nuclear envelope within the midzone region of the bridge. Instead, spindle microtubules were seen projecting out of the two newly formed daughter nuclei, through stalk membranes that lacked nuclear pores into the cytoplasm (Fig. 2c). All that was left of the central part of the nuclear bridge at this stage were fragments of membrane - an observation that explains the loss of nuclear GFP from the midzone of the late anaphase bridge (Fig. 1).
If the nuclear envelope in the central region of the bridge is disassembled to induce nuclear division, as suggested by this unexpected observation, how is this distinct midzone region specified? A clue to this came from two observations made using EM. First, nuclear pores within early-stage bridges were found to be physically too closely apposed to spindle microtubules to have a full nuclear basket, based on steric considerations (Extended Data Fig. 3c, Extended Data Fig. 2d-e). Second, nuclear pores are completely absent from stalks in late-stage bridges (Figure 2c). Building on these data, when we tracked various components of the nuclear pore complex (NPC; individual proteins referred to as nucleoporins or “Nups”; Extended Data Fig. 2d) through nuclear division by light microscopy we discovered that the pores that enter the bridge are completely devoid of nuclear basket components Alm1 and Nup211 (Fig. 3a, Extended Data Fig. 4a-c). NPCs were also visibly depleted from stalk regions of the bridge where Les1 is concentrated (Fig. 3b-c, Extended Data Fig. 5a). Instead, as previously reported19,20, NPCs were found concentrated within the central bulging section of the bridge, where Les1 levels are low (Fig. 3b-c). Even here, the movement of NPC clusters within the midzone appeared constrained by the stalks on either side (Fig. 3c).
Several lines of evidence indicate that Les1 accumulation - and the concomitant corralling of NPCs - requires a close association of the nuclear envelope with spindle microtubules but is not contingent upon the formation of a normal bridge midzone. First, occasional ‘stray’ NPC clusters located distal to the midzone always correspond to areas of local Les1 depletion and local bridge dilation (Extended Data Fig. 5c-f). Second, in cells with excess NE that generate thicker, floppy bridges, Les1 cannot form stalks and NPCs are no longer restricted to the midzone (Extended Data Fig. 6a). Finally, aberrant tubular projections containing spindle microtubules, induced either by reducing NE surface area or by acutely inhibiting Aurora kinase activity before cells enter mitosis (See Methods), accumulate Les1 and lack NPCs (Extended Data Fig. 6b-c). Taken together, these results indicate that the stalks, defined by Les1 accumulation at sites of microtubule-membrane contact within the bridge, function to restrict a population of basketless NPCs to the bridge midzone.
In an open mitosis, the stepwise removal of NPCs leads to NE fenestration and loss of structural integrity during nuclear envelope breakdown (NEB)11. We observed precisely this sequence of events in the S. pombe bridge midzone, in a process we term “local NEB”. Thus, in the few minutes following dumbbell collapse, as the nuclear NLS-GFP signal was seen disappearing from the bridge (Fig. 3e), NPCs were gradually lost from the midzone. This process began with the loss of nuclear ring Nups (Nup60) and was completed with the loss of transmembrane Nups (Cut11) (Fig. 3d-e, Extended Data Fig. 5g-i). While fast imaging revealed distinct clusters of NPCs disappearing at different times, this order of events was preserved within any single bridge (Extended Data Fig. 5i). Strikingly, while this was independent of Les1 itself (Extended Data Fig. 7d-e), both NPC disassembly and local NEB could be completely arrested through the deletion of the importin Imp120 (Fig. 3f-g, Extended Data Fig. 6d). Since local NEB precedes spindle disassembly (Fig. 3d-e, Fig. 2c), this also enables us to reinterpret the previously described Imp1 - mutant spindle phenotype20. As our new data make clear, Imp1-dependent removal of bridge NPCs and local nuclear envelope breakdown expose spindle microtubules to the cytoplasm, where cytoplasmic factors trigger their timely disassembly.
What is the function of Les1 in this context? In support of the idea that the site of NEB is restricted to the bridge midzone by Les1-defined stalks, the spatial organization of NPCs in the bridge was completely lost in the les1Δ strain. In these cells, NPC components were found to be uniformly distributed in both early and late stage bridges of les1Δ cells by light microscopy (Fig. 4a, Extended Data Fig. 7f) and EM (Fig. 4c and Extended Data Fig. 7a-b), leading to the onset of local NEB at a random location along the bridge (Extended Data Fig. 7f). At the same time, daughter nuclei in the les1Δ strain suffered transient leakages at the time of maximum spindle elongation, as measured by loss of nuclear NLS-GFP (Fig. 4a-b), which typically occurred in only one of the two daughter cell nuclei (Fig. 4a-b). These leaks were rapidly repaired in a manner that does not depend on Les1 (Fig. 4a). This likely explains the lack of a growth defect in the les1Δ strain, since the repair process is associated with recruitment of the ESCRTIII protein Cmp7 (Fig. 4d)21 to sites of local NEB (Fig. 4d and Extended Data Fig. 8b-c). In line with this, les1Δ is synthetically near-lethal when combined with deletions in cmp7 or lem2 - Cmp7’s binding partner (Extended Data Fig. 8d-e) – observations that are also consistent with the deeply conserved role for ESCRTIII proteins in NE sealing22–25 and repair26,27 across metazoan and fungal mitoses.
Taken together, these data suggest that Les1 stalks functionally isolate daughter nuclei from the process of Imp1-dependent local NEB at the centre of the bridge (Extended Data Fig. 8g). Consistent with this hypothesized role for Les1, deleting Les1 does not strongly impact the kinetics of NPC disassembly (Extended Data Fig. 7d-e) or average inter-NPC spacing (Extended Data Fig. 7b). Instead, Les1 likely acts to create a seal by cinching the inner nuclear envelope tightly around the spindle, leading to the segregation of excess membrane and bulky NPCs into the characteristic bulge at the centre of the bridge in wild-type cells, a structure conspicuously absent from les1Δ tomograms (Fig. 4c). In line with this, treating les1Δ cells with Cerulenin to increase membrane tension in the bridge (by inhibiting fatty acid biosynthesis in the ER28) forces NPCs back into the centre to rescue the nuclear leakage phenotype in the proportion of cells able to form a bridge (Fig. 4e and Extended Data Fig. 8f). Therefore, Les1 performs a critical role in nuclear division in S. pombe by ensuring that, while nuclei are topologically open to the cytoplasm at this stage of mitosis, the compartment boundary itself remains effectively closed (Fig. 4f-g).
In summary, in this study we identify a protein Les1 that positions the site of nuclear fission during S. pombe nuclear division. Through the study of Les1 localisation and its deletion mutant, we describe a novel process of local nuclear envelope breakdown that reveals an unexpectedly close similarity between the remodelling of the nuclear envelope in open and closed mitosis (Fig. 4g). In both cases, the new nuclear compartment is remodelled as the result of NPC disassembly. Thus, the key difference between mitotic strategies across the eukaryotic tree29 may only be one of degree, depending on the timing and localisation of NPC disassembly.
Methods
Phylogenetics and protein bioinformatics
Secondary structure models for Les1 were generated using the homology modelling and threading software tool I-TASSER30,31 (https://zhanglab.ccmb.med.umich.edu/I-TASSER/). All sequence homology searches were carried out using a local installation of the HMMER suite of profile-HMM search tools32 (http://hmmer.org/). Uniprot IDs for sequences analysed in Fig S1: O94559 (Les1_Sp), S9RL50 (Les1_So), S9VS84 (Les1_Scr), B6JWA6 (Les1_Sj), Q9Y7X6 (Ish1_Sp), S9PR74 (Ish1_So), S9X3G6 (Ish1_Scr), B6K568 (Ish1_Sj) and Q03104 (MSC1_S.cerevisiae). MAFFT33,34 (https://mafft.cbrc.jp/alignment/software/) was used to generate sequence alignment with the following command-line options:
mafft --maxiterate 1000 --localpair <infile.fasta> > <outfile.align>
Both trimmed and untrimmed alignments were used to generate phylogenetic trees, though in the case of Les1 this did not significantly affect the resulting trees. Alignments were trimmed, using TrimAl35 (http://trimal.cgenomics.org/trimal) with these command-line options:
trimAl/source/trimal -in <infile.align> -gt 0.6 -cons 40 -phylip -out <outfile.trim>
Maximum-likelihood trees were inferred using IQTREE36,37 1.6 (http://www.iqtree.org/), run using the model test function (for Extended Data Fig. 1d, LG+G4) and 1000 bootstraps:
iqtree-omp-1.5.4-MacOSX/bin/iqtree-omp -nt 4 -s <infile.trim> -m TEST -bb 1000 -redo
Conserved motifs were detected in alignments through comparisons with the PFAM database38,39 (https://pfam.xfam.org/). Selected regions of alignments were displayed using ESPript340 (http://espript.ibcp.fr) and default options. Although Ish1 and Les1 are annotated to be Type I LEA domain proteins (Uniprot; https://www.uniprot.org/uniprot/Q9Y7X6), no homology or profile HMM similarity was detected to any LEA domain families. Instead, the easily detected but poorly characterised Ish1 motif (PFAM PF10281), present in two copies in both SPAC23C4.05c and Ish1 (as well as S. cerevisiae MSC1; Extended Data Fig. S1c-e), bears similarity to the widely conserved HeH/LEM (PFAM PF12949) and SAP (PFAM PF02037) domains. To reflect this finding, we settled on the name LEM-like Enriched in Stalks (Les1) for the S. pombe protein SPAC23C4.05c and its best-match orthologs in Schizosaccharomyces species.
S. pombe culture
S. pombe cells were cultured using standard methods41,42 on solid (YES-agar) and liquid (YES) rich growth media (ForMedium), at a growth temperature of 32°C unless stated otherwise. All experiments were performed in exponential growth at 32°C with at least 48 hours of growth (>20 generations) in liquid YES before plating for live imaging. For live imaging, uncoated 35-mm dishes with polymer coverslips (No. 1.5 coverslip, 180 μm thick, Ibidi) were first coated with 1 mg/mL soybean lectin (in water, aliquots stored at -80°C, Sigma-Aldrich) for 15 minutes. After washing away the excess lectin with fresh YES, cells drawn from exponentially growing liquid cultures were allowed to settle for 30 minutes in a minimum volume of 500 μL of YES. The entire plating volume was replaced with 1 mL of fresh YES prewarmed to 32°C prior to transfer to the microscope. For drug treatment experiments, Latrunculin A (Sigma-Aldrich), Cerulenin (Sigma-Aldrich), and 1NM-PP1 (Calbiochem) were added to YES at 5 μM (10 mM stock in DMSO), 10 μM (10 mM stock in DMSO), and 5 nM (1 mM stock in DMSO) respectively. The maximal amount of DMSO (1/1000 in YES) added to cells across conditions had no detectable effect on the kinetics of nuclear division – thus, to ease direct kinetic comparisons across all strains and experiments in the paper, drug-treated cells were compared to untreated controls. For cell culture for electron tomography experiments, see section on correlative fluorescence microscopy and electron tomography.
Plasmids and S. pombe strain construction
The full genotypes of all strains used in this study are described in Extended Data Table 1, at the end of this document. Strains generated specifically for this study were constructed using standard methods41,42 for gene editing and crossing. Gene deletions and tagging were performed as previously described43 for PCR-based gene targeting, using standard primers designed with the Bahler lab web-interface scripts (http://bahlerlab.info/resources/), pFA6a vector templates carrying Hygromycin (Hph) or Kanamycin (Kan) resistance cassettes, and transformation using the Lithium Acetate method44. Antibiotic-resistant clones generated by this method were verified by PCR of the gene locus being targeted as well as fluorescence microscopy, if applicable. The exception to the standard workflow was for the pFA6a-mNeonGreen vectors used in this study, which carry a non-standard linker upstream of the mNeonGreen coding sequence. Instead of the standard 20-mer (CGGATCCCCGGGTTAATTAA) forward linker, these require a 21-mer forward linker (GATTCTGCTGGATCAGCTGGC). The reverse linker remains unchanged. One new pFA6a vector derivative was generated for this study, replacing the mCherry coding sequence in pFA6a-mCherry:Hph with the coding sequence for the photo-switchable fluorescent protein mEOS3.245 (Addgene) by standard restriction-digestion cloning (using restriction enzymes BamHI and AscI, NEB). This vector is available upon request. Crosses were performed by random spore analysis41,42 followed by marker selection (Hygromycin/Kanamycin resistance, ura/leu auxotrophy, or sensitivity to 5 μM 1NM-PP1 (Calbiochem) for strains carrying the Ark1-as3 allele, as appropriate) followed by additional screening for fluorescence, if applicable. The crosses shown in Extended Data Fig. 8d-e were carried out using tetrad dissection46, with each colony grown from a single spore. Briefly, cells were mated on low nitrogen media (EMM-Nitrogen) to produce tetrads of four haploid spores. After 2 days, cells were streaked onto nutrient-rich media (YES) for 2-3 h to degrade the protective membrane surrounding each tetrad. Individual spores were isolated using a Singer MSM300 Tetrad Micro dissecting unit. C-terminal truncation constructs with C-terminal mNeonGreen tags (Extended Data Fig. 8a) were generated at endogenous loci using the standard PCR-based method as described above, but with the following left-hand/forward primers:
-
Les1 (1 -94)
5’-ATTCTTGGCCTCAACGAAAGCTTGATGACTTTCTCCAAAATCATGGGG TAAAGTCACTGGACGTTCCTCCTATCGAGACTGATTCTGCTGGATCAGCTGGC-3’;
-
Les1 (1 -204)
5’-CCACCAATGATGAGTTGGAATCCTGGTCAAATAATCTACTCCTTTCTA TGTTGGATCAGAAAAACATTACAGTACCAATTGATTCTGCTGGATCAGCTGGC-3’;
-
Les1 (1 -291)
5’-TTTCTGTTCTTTCACCTCGGGAAACTCTTTTGAAAGAAGCATACGCTA ACCGCTTCACACCGCGTGTAATGATTGCCTCCGATTCTGCTGGATCAGCTGGC-3’.
These truncation sites were selected in order to delete either both Ish1 motifs and the C2H2 Zn finger, or the second Ish1 motif and the Zn finger, or just the Zn finger, with care taken to avoid truncating the protein in the middle of predicted secondary structural elements such as alphahelices. The first two constructs, Les1(1-94) and Les1 (1-204), did not generate any detectable expression by fluorescence microscopy. The localisation pattern of the third construct Les1 (1-291) is shown in Extended Data Fig. 8a.
Live-cell fluorescence microscopy
All strains were imaged live in regular growth medium (YES) in glass-bottom dishes (see S. pombe culture) within stage-top incubation chambers held at 32°C. No single dish was used for experiments lasting longer than 3 hours from the time of plating. Four microscopes were used for this study: 2 spinning disk confocal systems, a Nikon TiE widefield system with a VT-iSIM module and a Zeiss LSM880 with an Airyscan module. The first spinning disk microscope consists of a Nikon TiE inverted stand attached to a Yokogawa CSU-X1 spinning disk scan head and a Hamamatsu C9100-13 EMCCD camera. The entire system was controlled using Volocity software. Cells were imaged using a 100X oil-immersion CFI Plan Apochromat VC objective (1.4NA, working distance 0.13 mm) with an optional 1.5x additional magnification. The second spinning disk microscope consists of a Zeiss Axio Observer Z1 inverted stand attached to a Yokogawa CSU-W1 spinning disk scan head and a Photometrics Prime BSI Scientific CMOS detector. Cells were imaged using 63X oil-immersion Plan Apochromat (1.4NA, working distance 0.19 mm) and 100X oil-immersion Plan Apochromat (1.4NA, working distance 0.17 mm) objectives combined with an optional 1.5x additional magnification. The LSM880 is an inverted laser-scanning confocal microscope with an Axio Observer stand. Cells were imaged using a 63x oil-immersion Plan Apochromat objective (1.4NA, working distance 0.19 mm) and the Airyscan47 detector. Acquisition on the latter systems is controlled via the Zen software (Zeiss). In all cases, samples were illuminated with 488 nm (mNeonGreen or GFP) and 561 nm (mCherry) lasers and appropriate fluorescence filter sets for these fluorophores. Photoconversion of mEOS3.2 was carried out using a 405 nm laser, with the non-converted state imaged using a 488nm laser and and the same filter set as for mNeonGreen/GFP, and the converted state imaged using a 561nm laser and the same filter set as for mCherry. For regular live imaging on all systems, asynchronous cells were usually imaged using a 4.3 μm Z-stack with 16 slices at 270 nm vertical intervals, and time intervals ranging from 5 seconds to 120 seconds, never exceeding 30 minutes of continuous imaging. For Airyscan imaging, cells were imaged using a larger Z-stack at single timepoints. For SRRF and Hough fitting, cells were imaged with the system held at a single Z-plane and the imaging rate was increased to yield final reconstructed SRRF images at >3 frames per second. iSIM (“instant SIM”) images were acquired with a Visitech VT-iSIM module and Hamamatsu Flash4.0v3 scientific CMOS camera, attached to an inverted Nikon TiE microscope stand with Perfect Focus System and motorised stage (100x oil immersion 1.45 NA Plan Apo λ objective).
Image processing
All basic image processing (cropping, viewing stacks, scaling for visual presentation, producing maximum intensity projections) was carried out in Fiji48 ((ImageJ49). All time-lapse images subjected to Super-Resolution Radial Fluctuations (SRRF) analysis were processed with NanoJ-LiveSRRF, the newest implementation of NanoJ-SRRF50. NanoJ-LiveSRRF is available on request, expected to be available for download soon. NanoJ-SRRF is already released and available as open-source software for Fiji/ImageJ. Airyscan processing and iSIM 3D deconvolution were carried out using proprietary Zen (Zeiss) and Elements (Nikon) software respectively.
Image denoising for fast-acquired data
Denoising (Fig. 3c, Extended Data Fig. 4b) was performed using the Noise2Noise image restoration technique51 as implemented using the CSBDeep/CARE framework52. Three separate Noise2Noise models were trained independently for Alm1-mNeonGreen images, Les1-mNeonGreen images and Cut11-mCherry images. Training data comprised 2000 pairs of intensity-normalised 64x64 pixel patches in two adjacent frames, randomly selected from across all acquired datasets for each model. Validation data comprised an additional 200 pairs of 64x64 pixel patches randomly selected and normalised via the same method. Each model was trained with the following network parameters: training loss = mean-squared error, UNet kernel size = 3x3, training steps per epoch = 200, training epochs = 100. Jupyter notebooks for network training and prediction and trained Noise2Noise models are available at https://github.com/superresolusian/local-NEB.
Statistics and reproducibility
Through the entire paper, the basic independent biological unit of comparison is the single cell (undergoing nuclear division). For experiments in the paper using light microscopy, biological repeats refer to cells drawn from two different cultures and plated separately; technical repeats refer to cells drawn from the same culture but plated separately, usually imaged on the same day. For high-resolution (in time or space) imaging of strains already analysed by conventional confocal imaging, we focused on collecting data from additional technical repeats. The number of cells indicated in the legends that accompany representative images is a conservative estimate of the number of cells, across biological and technical repeats, at the same cell cycle stage. Special considerations apply for electron microscopy (see “Correlative fluorescence microscopy and electron tomography”). Since cells for all experiments were cultured at 32°C in rich YES growth media, we were able to pool cells across technical and biological repeats, as well as different clones carrying the same deletion or fluorescent protein tag, for population-level analyses (See “Analysis framework for single-cell trajectories” and “Population-level analyses”).
Analysis framework for single-cell trajectories
Analysis of single-cell trajectories was carried out using custom software written for the opensource platform Fiji48. This is available from https://github.com/superresolusian/local-NEB.
ROI selection
Regions of Interest (ROIs) containing dividing cells were manually selected in time series data. Only division events that completed were selected for analysis (Extended Data Fig. 2a, ‘Manually select ROIs’, ‘Extracted ROI’). A ROI devoid of nuclei over the whole timelapse was also selected for background subtraction of measured intensities.
Detecting divisions
Each ROI was maximum-intensity projected and this projection was then blurred, binarised, hole-filled and skeletonised using ImageJ1 ‘Binary’ functions in Fiji48. The longest path of the skeleton structure was assumed to correspond to the dividing nucleus, and the angle formed by this line-like path measured to be the division angle, (Extended Data Fig. 2a, ‘Determine division angle’).
Circle detection
Within ROIs, nuclei were identified for each frame and their radii determined using a custom-written Fiji plugin implementing the circular Hough transform53 (Extended Data Fig. 2a, ‘Circle detection’; each coloured circle denotes a separate detected nucleus). For two-colour images, the mNeonGreen channel was used to identify nuclei due to their superior signal-to-noise ratio, and these nuclei centroid coordinates were assumed to be the same across both channels. For NLS images, a Sobel filter was applied to extract the perimeters of the nuclei prior to performing the circular Hough transform.
Identification of dividing nucleus pairs
For all possible pairs of detected circles in the ROI, the angle between the circle centres was calculated. Circle pairs oriented at angles different from the division angle by more than 30° were rejected. For proteins distributed along the whole length of the bridge between the two daughter nuclei (e.g. Les1 as shown in Fig. 1d), all candidate bridge paths in each ROI frame were identified by blurring, binarising, hole-filling and skeletonising the images (Skeleton paths shown in Extended Data Fig. 2a, ‘Path segmentation’). Paths of length < 3 pixels were rejected as these corresponded to isolated nuclei (e.g. Extended Data Fig. 2a, ‘Path segmentation’, blue paths). The endpoints of the remaining paths were then checked against the coordinates of the remaining circle pairs. Paths without anchoring circle detections were rejected (e.g. Extended Data Fig. 2a, ‘Path segmentation’, pink paths), as were any detected circles lacking an associated path (e.g. Extended Data Fig. 2a, ‘Circle detection’, red circle). The final result for each frame was either that no division events were successfully detected, or two nuclei and joining path were detected (Extended Data Fig. 2a, ‘Filter circles and paths satisfying selection criteria’). Following breakage of the bridge, there is no longer a continuous path between the daughter nuclei. In this case, for a detected circle pair at an appropriate angle we joined two paths, each with one endpoint anchored at one of the circles, with a straight line between the ‘free’ endpoints (Extended Data Fig. 2a, ‘Filter circles and paths satisfying selection criteria’, yellow dotted line). For proteins not continuously present along the whole length of the bridge (e.g. NLS as shown in Fig. 1a) the path corresponding to the bridge location was defined as a straight line between the two daughter nucleus circle centres.
Definition of bridge and timepoints
The bridge was defined as the connection between the two daughter nuclei excluding any pixels within the nuclei perimeters. The initiation of division was defined as the first frame in which two distinct nuclei were successfully detected, and dumbbell appearance was defined as the first frame where a bridge could be discerned (i.e. the first timepoint where all path pixels were not contained by daughter nuclei). Nucleus separation distance was defined as the Euclidean distance between the centroids of the daughter nuclei.
Measurement of nuclear intensities
Nuclear intensities were the background-subtracted average intensities within the detected circles (Fig.1b ‘Nucleus’, Fig. 4b).
Measurement of bridge intensities
Total bridge intensity was the background-subtracted average intensity along the bridge path (Fig. 1b ‘Bridge’, Fig. 3e, Extended Data Fig. 4a, Extended Data Fig. 5h, Extended Data Fig. 7d, Extended Data Fig. 8f). In all cases, the path linewidth was set to 5 (i.e. 2 pixels perpendicularly either side of the path) to account for the full thickness of the bridges.
Measurement of vertical displacement of NE proteins
Circle detection and analysis was again performed using the circular Hough transform, but this time on whole frames (i.e. no manually selected ROIs) so that all nuclei within a single time frame were detected. All data analysed had Cut11-mCherry as a reference protein in one channel and another NE protein of interest in the second channel. For each nucleus, the difference in radius between the two channels was calculated (Extended Data Fig. 2c,e). SRRF processing was performed on images prior to radius measurement to increase resolution. As a control, Nup60 was labelled with a green-to-red photoconvertable fluorescent protein (mEOS3.2) and images taken before and after photoconversion. These two channels were then analysed using the same pipeline as for the Cut11 two-colour strains to check that there were no systematic errors in radius measurement between red and green channels. The values obtained for various Nups provide a good match with a recent electron microscopy analysis of the S. pombe NPC54, which also provided the estimate of the width of the lumen between inner and outer nuclear envelopes.
Spindle detection and breakpoint measurement
Spindles were segmented from ROIs in images containing fluorescently labelled tubulin (mCherry-Atb2) by blurring, binarisation, hole-filling and skeletonisation. The longest path of the skeleton was determined for each frame; the frame in which spindle breakage occurred was determined as the first frame where the maximum skeleton path length decreased by ≥ 25% compared to the maximum skeleton path length measured across all previous frames.
Quantifying early bridge intensities
Normalised bridge intensity for early bridges (Extended Data Fig. 7c) was calculated as
where:
f: the first frame in a nuclear division sequence in which a bridge appears that has 1 μm ≤ bridge length ≤ 2μm
I bridge(f): the average intensity along the bridge length in frame f (with a linewidth of 3 pixels for averaging adjacent to the bridge axis)
I bg(f): the average intensity of the image background in frame f
I nuc(f): the average intensity of interphase nuclei in frame f.
Bridge numbers were as follows: Cut11 n=19, Cut11-les1Δ n=27 (p=0.0179, unpaired two-tailed t-test); Nup60 n=44, Nup60-les1Δ n=102 (p=0.0722, unpaired two-tailed t-test).
Data curation
Every detected nucleus division was manually checked to ensure that the correct nuclei had been identified, and ROIs containing false detections were excluded from analysis.
Manual quantification
The breakpoint analysis in Extended Data Fig. 7f was scored manually due to the high error rates of identifying the precise site of breakage from automatically extracted time series data. The timings in Extended Data Fig. 6e-g (with reference to the first appearance of the nuclear bridge) were manually quantified. This was due to the presence of a second green label (Cdc15-mNeonGreen) in addition to Cut11-GFP: while this allowed the visualisation of the cytokinetic ring, it also prevented the automated analysis of maximum intensity projections.
Population-level analyses
Unless otherwise specified, single-cell trajectories (see section above for specific measurements) were aligned to the time of maximal spindle elongation (if a tubulin label not present, measured indirectly using the maximal separation between daughter nuclei as a proxy for spindle length) – making use of the fact that spindle elongation kinetics are highly reproducible from cell to cell. When combining trajectories from different strains (e.g. Fig. 3e), we made use of the observation that mitotic timing tends to be consistent even when spindles reach different maximum lengths (Extended Data Fig. 5b). This is probably due to a Klp9-dependent adjustment in spindle elongation rates between strains (strains with longer spindles elongate their spindles faster)55. Statistical analyses were carried out using GraphPad (mean and standard deviation of averaged traces), MATLAB (ANOVA; mean and standard deviation of averaged traces) and the Estimation Stats platform56 (two-sided Mann-Whitney). Graphs and heatmaps were generated using either GraphPad or MATLAB.
Correlative fluorescence microscopy and electron tomography
Correlative microscopy was done as described before for resin-embedded yeast cells57,58, with minor modifications. In brief, Les1-mNeonGreen/mCherry-Atb2 expressing cells and Cut11-GFP/mCherry-AHDL expressing les1Δ cells were grown in YES at 32°C to mid-log phase, pelleted by vacuum-filtration and high-pressure frozen in the 100 μm recess of aluminium platelets (Wohlwend) using an HPM100 (Leica Microsystems). Samples were freeze-substituted and embedded in Lowicryl HM20 (Polysciences) according to the published protocol57, except with 0.03% uranyl acetate in the freeze-substitution solution, and for the les1Δ experiment, samples were shaken on dry ice for 2 h during freeze-substitution. Resin blocks were sectioned at 320 nm nominal thickness, picked up onto carbon-coated copper grids (AGS160, Agar Scientific) and imaged on the same day on a Nikon TE2000 or Ti2 microscope using a 100x TIRF objective, a NEO sCMOS DC-152Q-C00-FI camera (Andor), and a Niji LED light source. Based on the fluorescence images, cells with profiles in which an elongated bridge was visible within the section plane were selected for electron tomography. 15 nm protein A-coated gold beads (EMS) were adhered to the grids prior to Reynolds’ lead citrate staining. Dual-axis electron tomographic tilt series were acquired approximately from +60° to -60° on a TF20 electron microscope (FEI) operated in STEM mode, using a 50 μm C2 aperture, at 1° increment and 1.1 nm pixel size on an axial bright field detector59, using SerialEM60. Both wild type and les1Δ data are each from one high-pressure freezing and freeze-substitution experiment. Tomograms were reconstructed using IMOD61. Segmentation models were generated using Amira (Thermo Fisher Scientific) by manual tracing of membranes and microtubules, followed by extensive simplification and smoothening of the generated surfaces. Therefore, segmentation models are for purely illustrative purposes. Segmentation models are mirrored relative to the original tomograms, thus the corresponding electron tomographic slices in figure panels Fig. 2b, Fig. 2c, and Extended Data Fig. 3c are shown flipped relative to the original tomograms. Some of the electron tomographic slices shown in figures have been mildly gauss-filtered to improve visibility. NPC nearest neighbour distances were measured in IMOD61. An imod model file was manually generated of the centres of all visible nuclear pores, and the programme imod-dist was used to obtain distances of each pore to all other pores. For each nuclear pore, the shortest distance was determined to be the distance to its nearest neighbour.
Extended Data
Extended Data Table 1. Complete list of S. pombe strains used in this study.
Strain | Genotype | Reference | Strain construction details |
---|---|---|---|
SO4913 | cut11-GFP:ura4+ pBiP1-mCherry-AHDL:leu1+ h+ | Snezhana Oliferenko lab | For original AHDL 32 |
SO6600 | pBiP1-NLS-GFP-NLS:leu1+_ade-_leu1-32_ura4D-18 h- | Snezhana Oliferenko lab | Integration at leu1 locus |
MBY5861 | cut11-mCherry:ura4+ h- | Mohan Balasubramanian lab | |
MBY6659 | pAct1 Lifeact-GFP:leu+ atb2-mCherry:Hph leu1-32 ura4-D18 h- | Mohan Balasubramanian lab | pCDL1484 integrated into MBY5856 |
SI235 | Hph<<ark1-as3 h- | Silke Hauf lab | Hph integrated 390 bp upstream of Ark1 start codon; mutations are L166A (gatekeeper), S229A Q28R Q176R (suppressor) |
SI236 | Hph<<ark1-as3 h+ | Silke Hauf lab | Hph integrated 390 bp upstream of Ark1 start codon; mutations are L166A (gatekeeper), S229A Q28R Q176R (suppressor) |
PN1 | 972 h-(wild type) | Paul Nurse lab | |
PN2 | 972 h+ (wild type) | Paul Nurse lab | |
GD111 | Hph<<ark1-as3 atb2-mCherry:Hph h? | This study | MBY6659 X SI236 |
GD121 | cut11-mNeonGreen:Kan Hph<<ark1-as3 atb2-mCherry:Hph h? | This study | cut11-mNeonGreen:Kan transformed into GD111 |
GD130 | les1-mNeonGreen:Kan Hph<<ark1-as3 atb2-mCherry:Hph h? | This study | les1-mNeonGreen:Kan transformed into GD111 |
GD138 | les1-mNeonGreen:Kan h+ | This study | les1-mNeonGreen:Kan transformed into 972 h+ |
GD141 | les1-mNeonGreen:Kan atb2-mCherry:Hph h? | This study | GD138 X MBY6659 |
GD155 | Hph<<ark1-as3 pBiP1-mCherry-AHDL::leu1+ h+ | This study | SO4913 X SI235 |
GD171 | les1::Hph cut11-mCherry:ura4+ h- | This study | les1::Kan transformed into MBY5861 |
GD172 | les1-mNeonGreen:Kan cut11-mCherry:ura4+ h+ | This study | GD138 X MBY5861 |
GD173 | nup60-mNeonGreen:Kan cut11-mCherry:ura4+ h- | This study | nup60-mNeonGreen:Kan transformed into MBY5861 |
GD175 | nup60-mNeonGreen:Kan Hph<<ark1-as3 atb2-mCherry:Hph h? | This study | nup60-mNeonGreen:Kan transformed into GD111 |
GD176 | nup60-mNeonGreen:Kan les1::Hph cut11-mCherry:ura4+h- | This study | nup60-mNeonGreen:Kan transformed into GD171 |
GD206 | les1::Hph pBiP1-NLS-GFP-NLS:leu1+_ade-_leu1-32_ura4D-18 h- | This study | les1::Hph transformed into SO6600 |
GD220 | alm1-mNeonGreen:Kan cut11-mCherry:ura4+ h- | This study | alm1-mNeonGreen:Kan transformed into MBY5861 |
GD224 | nup211-mNeonGreen:Kan cut11-mCherry:ura4+ h- | This study | nup211-mNeonGreen:Kan transformed into MBY5861 |
GD225 | pom34-mNeonGreen:Kan cut11-mCherry:ura4+ h- | This study | pom34-mNeonGreen:Kan transformed into MBY5861 |
GD227 | cdc15-mNeonGreen:Kan cut11-mCherry:ura4+ h- | This study | cdc15-mNeonGreen:Kan transformed into MBY5861 |
GD229 | nup60-mEOS3.2:Kan h+ | This study | nup60-mEOS3.2:Kan transformed into 972 h+ |
GD250 | nup60-mCherry:Kan h+ pBiP1-NLS-GFP-NLS:leu1+_ade-_leu1-32_ura4D-18 h- | This study | nup60-mCherry:Kan transformed into SO6600 |
GD253 | les1::Hph nup60-mCherry:Kan h+ pBiP1-NLS-GFP-NLS:leu1+_ade-_leu1-32_ura4D-18 h- | This study | les1::Hph transformed into GD250 |
GD255 | les1-mNeonGreen:Kan Hph<<ark1-as3 pBiP1-mCherry-AHDL::leu1+ h+ | This study | les1-mNeonGreen:Kan transformed into GD255 |
GD257 | cta4-mNeonGreen:Kan cut11-mCherry:ura4+ h- | This study | cta4-mNeonGreen:Kan transformed into MBY5861 |
GD259 | nup60-mCherry:Hph les1::NatR cmp7-mNeonGreen:Kan h- | This study | nup60-mCherry:Hph transformed into GD273 |
GD261 | nup120-mNeonGreen:Kan cut11-mCherry:ura4+ h- | This study | nup120-mNeonGreen:Kan transformed into MBY5861 |
GD263 | nup82-mNeonGreen:Kan cut11-mCherry:ura4+ h- | This study | nup82-mNeonGreen:Kan transformed into MBY5861 |
GD264 | nup37-mNeonGreen:Kan cut11-mCherry:ura4+ h- | This study | nup37-mNeonGreen:Kan transformed into MBY5861 |
GD265 | nup44-mNeonGreen:Kan cut11-mCherry:ura4+ h- | This study | nup44-mNeonGreen:Kan transformed into MBY5861 |
GD266 | nup40-mNeonGreen:Kan cut11-mCherry:ura4+ h- | This study | nup40-mNeonGreen:Kan transformed into MBY5861 |
GD270 | nem1::Hph nup211-mNeonGreen:Kan cut11-mCherry:ura4+ h- | This study | nem1::Hph transformed into GD224 |
GD273 | les1::NatR cmp7-mNeonGreen:Kan h- | This study | les1::NatR transformed into KG18766 |
KG18766 | cmp7-mNeonGreen:Kan h- | Kathy Gould lab | cmp7-mNeonGreen:Kan transformed into 972 h- |
GD275 | nem1::Hph les1-mNG:kanR cut11-mCh:ura4+ h+ | This study | nem1::Hph transformed into GD172 |
GD181 | imp1::Kan les1::Hph cut11-mCherry:ura4+ h- | This study | imp1::Kan transformed into GD171 |
GD139 | les1:mScarlet:Hph h+ | This study | les1:mScarlet:Hph transformed into 972 h+ |
GD140 | cmp7-mNeonGreen:Kan les1:mScarlet:Hph h+ | This study | KG18766 crossed with GD139 |
GD283 | les1(1-204):mNeonGreen cut11-mCherry:ura4+ h- | This study | les1(1-204):mNeonGreen transformed into MBY5861 |
GD284 | les1(1-291):mNeonGreen cut11-mCherry:ura4+ h- | This study | les1(1-291):mNeonGreen transformed into MBY5861 |
GD285 | les1(1-94):mNeonGreen cut11-mCherry:ura4+ h- | This study | les1(1-94):mNeonGreen transformed into MBY5861 |
GD290 | imp1::Hph alm1-mNeonGreen:Kan cut11-mCherry:ura4+ h- | This study | imp1::Hph transformed into GD220 |
GD292 | imp1::Hph les1-mNeonGreen:Kan cut11-mCherry:ura4+ h+ | This study | imp1::Hph transformed into GD172 |
Acknowledgements
We would like to thank Mohan Balasubramanian, Snezhana Oliferenko, Silke Hauf, Kathy Gould, Jürg Bahler, Paul Nurse and their labs for sharing S. pombe strains, plasmids, expertise and S. pombe protocols; James O. Patterson for the kind gift of pFA6a-mNeonGreen plasmids; the LMB EM facility for EM support; Tim-Oliver Buchholz (MPI-CBG/CSBD, Dresden, Germany) for advice on the Noise2Noise implementation. We would like to acknowledge David Albrecht, Ishier Raote, Agathe Chaigne, Pedro Pereira, Caron Jacobs and members of the Baum lab, in particular Giulia Paci, Giulia Cazzagon, and Helen Matthews, as well as 3 anonymous reviewers, for their feedback on this manuscript. G.D. was funded by a European Union Marie Sklodowska-Curie Individual Fellowship (704281-CCDSA) and the Wellcome Trust (203276/Z/16/Z). Si.C. and R.H. were supported by the UK BBSRC (BB/R021805/1; BB/S507532/1), the UK Medical Research Council (MR/K015826/1), and the Wellcome Trust (203276/Z/16/Z). Sc.C was supported by the Francis Crick Institute which receives its core funding from Cancer Research UK (FC001121), the UK Medical Research Council (FC001121), and the Wellcome Trust (FC001121). W.K. was funded by the Medical Research Council (MC_UP_1201/8). B.B. was supported by UCL’s Institute for the Physics of Living Systems, the MRC-LMCB, by the Wellcome Trust (203276/Z/16/Z), and by Cancer Research UK (C1529/A28276).
Footnotes
Author Contributions
G.D. co-conceived the project, designed and implemented all the experiments, generated strains and reagents, acquired, analysed and interpreted the data (with the exception of the EM data shown in parts of Figs 2 and 4, and Extended Data Figs. 3, and 7), and led the drafting of the paper. Si.C. and U.S. created new software used in the work, and analysed and assisted in the interpretation of data. Sc.C. advised on experimental design, helped to generate strains and reagents, and provided protocols and training. R.H. advised on the creation of new software used for the project. W.K. performed all electron tomography and analysis of electron tomograms (parts of Figs 2 and 4, and Extended Data Figs. 3, and 7). B.B. co-conceived and supervised the project, provided advice on experimental design, implementation and analysis, and co-drafted the manuscript. All authors provided input during the manuscript drafting stage.
Competing Interests Statement
We declare that none of the authors have competing financial or non-financial interests as defined by Nature Research.
Data Availability Statement
All code used for the analyses in this paper is made freely and publicly available via a dedicated repository (https://github.com/superresolusian/local-NEB; see Code Availability Statement). Bulk microscopy time series data, comprising >50 files with an average size >1GB, are available upon request. The S. pombe strains generated for and used in this study (Extended Data Table 1) are available upon request. Source data required to reproduce all the graphs and conclusions of the manuscript, including those presented as Extended Data, are included in the paper and its supplementary information files.
Code Availability Statement
All custom software designed for and used in this study is freely available on GitHub in a public repository at https://github.com/superresolusian/local-NEB. The use of this code is governed by an MIT license.
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Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Availability Statement
All code used for the analyses in this paper is made freely and publicly available via a dedicated repository (https://github.com/superresolusian/local-NEB; see Code Availability Statement). Bulk microscopy time series data, comprising >50 files with an average size >1GB, are available upon request. The S. pombe strains generated for and used in this study (Extended Data Table 1) are available upon request. Source data required to reproduce all the graphs and conclusions of the manuscript, including those presented as Extended Data, are included in the paper and its supplementary information files.
All custom software designed for and used in this study is freely available on GitHub in a public repository at https://github.com/superresolusian/local-NEB. The use of this code is governed by an MIT license.