Abstract
Actin-based protrusions vary in morphology, stability, and arrangement on cell surfaces. Microridges are laterally elongated protrusions on mucosal epithelial cells, where they form evenly spaced, mazelike patterns that dynamically remodel by fission and fusion. To characterize how microridges form their highly ordered, subcellular patterns and investigate the mechanisms driving fission and fusion, we imaged microridges in the maturing skin of zebrafish larvae. After their initial development, microridge spacing and alignment became increasingly well ordered. Imaging F-actin and non-muscle myosin II (NMII) revealed that microridge fission and fusion were associated with local NMII activity in the apical cortex. Inhibiting NMII blocked fission and fusion rearrangements, reduced microridge density, and altered microridge spacing. High-resolution imaging allowed us to image individual NMII minifilaments in the apical cortex of cells in live animals, revealing that minifilaments are tethered to protrusions and often connect adjacent microridges. NMII minifilaments connecting the ends of two microridges fused them together, whereas minifilaments oriented perpendicular to microridges severed them or pulled them closer together. These findings demonstrate that as cells mature, cortical NMII activity orchestrates a remodeling process that creates an increasingly orderly microridge arrangement.
INTRODUCTION
Cells create diverse actin-based protrusions to carry out a wide variety of functions. Protrusions not only vary in shape and size but also vary in persistence, plasticity, dynamics, and arrangement on cell surfaces. For example, lamellipodia extend and retract within seconds or minutes (Giannone et al., 2007), whereas invadopodia persist for hours (Murphy and Courtneidge, 2011), and stereocilia are stable throughout an animal’s life (Zhang et al., 2012; Narayanan et al., 2015). Microvilli move rapidly and independently on epithelial cell surfaces (Meenderink et al., 2019), but form stable clusters by establishing protocadherin-based connections at their tips (Crawley et al., 2014; Meenderink et al., 2019). Stereocilia, on the other hand, form highly stable and stereotyped arrangements on epithelial cells, and their orientation is strictly dictated by planar cell polarity (Tarchini and Lu, 2019). Identifying mechanisms regulating the dynamics and arrangement of protrusions is critical to understanding how cell surfaces acquire diverse morphologies.
Microridges are laterally elongated protrusions found on the apical surfaces of mucosal epithelial cells (Depasquale, 2018). Although microridges are less studied than other protrusions, recent work in zebrafish periderm cells, which form the most superficial layer of the skin, has begun to identify mechanisms underlying microridge morphogenesis. Distinct from other protrusions that emerge and extend as unitary structures, microridges form from the coalescence of fingerlike precursor protrusions called pegs (Lam et al., 2015; Pinto et al., 2019; van Loon et al., 2020). Microridge development requires specification of apical-basal cell polarity (Raman et al., 2016; Magre et al., 2019), activity of the branched actin nucleation complex Arp2/3 (Lam et al., 2015; Pinto et al., 2019; van Loon et al., 2020), Plakin cytolinkers (Inaba et al., 2020), keratin filaments (Inaba et al., 2020), and cortical non-muscle myosin II (NMII) contraction, which concomitantly promotes apical constriction (Lam et al., 2015; Pinto et al., 2019; van Loon et al., 2020). Like actin filaments in microvilli (Tyska and Mooseker, 2002), actin networks in microridges constantly turn over (Lam et al., 2015), but the recruitment of keratin filaments by Plakin cytolinkers helps preserve microridge structure (Inaba et al., 2020). Microridges exhibit unusual dynamics, undergoing fission and fusion to form new patterns (Lam et al., 2015). How microridge patterns mature after their initial formation has not been determined, and the molecular mechanisms executing fission and fusion are unknown.
Microridges are arranged in striking, highly ordered patterns: Neighboring microridges are periodically spaced and tend to align parallel to one another, filling cell surfaces in mazelike arrangements that resemble the parallel organization of molecules in liquid crystals, referred to as a “nematic” organization (Needleman and Dogic, 2017). These patterns may optimize cell surface energy and/or the function of microridges in mucus retention. Microridge arrangements are reminiscent of the tissue-level patterns that arise through cell–cell signaling interactions, obeying Alan Turing’s elegant reaction-diffusion model (Turing, 1952; Kondo and Miura, 2010). At the subcellular level, however, periodic patterns often involve the regular arrangement of cytoskeletal elements. For example, axons (Xu et al., 2013), dendrites (Han et al., 2017), cilia (Jia et al., 2019), and the Caenorhabditis elegans syncytial epidermis (Costa et al., 1997) contain periodic membrane-associated cytoskeletal structures. Although reaction-diffusion mechanisms can explain some subcellular phenomena, like waves of actin polymerization in the cortex of dividing oocytes (Bement et al., 2015), regular subcellular patterns are often created by the arrangement of molecules themselves. For example, the spacing of actin rings in neurites is determined by the size of the spectrin tetramers that separate them (Xu et al., 2013). Nothing is known about the mechanisms that create highly ordered, periodic microridge patterns.
The membranes of epithelial cells associate with a thin actomyosin filament network, called the cortex (Kelkar et al., 2020). NMII forms bipolar minifilaments within the cortex, which contract actin filaments to generate forces that regulate membrane tension, cytokinesis, and cellular morphogenesis (Martin and Goldstein, 2014; Kelkar et al., 2020). Both the density and the specific arrangement of NMII minifilaments influence cortical contractility (Kelkar et al., 2020). The cortical network is attached to cell junctions and pulls them to constrict apical surfaces during a variety of morphogenetic events (Martin and Goldstein, 2014). Cortical contraction also regulates protrusion morphogenesis. For example, contraction stimulates actin treadmilling to regulate microvillar length (Chinowsky et al., 2020). In zebrafish periderm cells, pulsatile NMII activity lowers apical membrane tension to permit the formation and elongation of microridges from peg precursors (van Loon et al., 2020). Cortical NMII contraction continues in these cells after microridges have formed (van Loon et al., 2020), but the functional significance of these later contractile events is unknown.
In this study, we characterized microridge dynamics as their patterns mature into an increasingly ordered arrangement and investigated the role of NMII in these processes. We found that after initial development, fission and fusion continuously remodel microridges, but these events dampen as maturation proceeds. High-resolution imaging revealed that cortical NMII minifilaments connect adjacent microridges, and that their specific orientation relative to microridges dictates the nature of rearrangements. These findings demonstrate that cortical NMII minifilaments are not only required for microridge formation but also regulate microridge fission, fusion, and alignment to pattern maturing epithelial cell surfaces.
RESULTS
Microridge patterns mature in larval zebrafish
To determine how microridge spacing and patterning change as the developing zebrafish skin matures, we imaged zebrafish periderm cells expressing the F-actin reporter Lifeact-GFP (Riedl et al., 2008) in 48, 72, and 96 h postfertilization (hpf) fish (Figure 1A). Microridges had already formed and elongated by 48 hpf, but became longer on average during this period (Supplemental Figure S1B), likely reflecting a specific reduction in pegs and short microridges (Supplemental Figure S1C). Total microridge density on the apical surface increased between 48 and 96 hpf (Figure 1B), which could result from an increase in microridges or reduced apical area. However, apical cell areas were not reduced, but were in fact slightly larger at 96 hpf than at 48 or 72 hpf (Supplemental Figure S1D). Since microridge development occurs in tandem with apical constriction during early development (van Loon et al., 2020), these observations suggest that changes to microridges after 48 hpf represent a distinct maturation process.
One of the most striking features of microridges is their regularly spaced and aligned arrangement, reminiscent of the nematic organization of molecules in liquid crystals (Needleman and Dogic, 2017). To investigate how microridge spacing changes as cells mature, we measured the distance between every point on each microridge and the nearest point on a neighboring microridge (Figure 1, C and D). The mode, median, and mean distances between microridges were similar between the three different stages (Figure 1E; Supplemental Figure S1, E and F) and, as expected, corresponded to the orthogonal distance between adjacent microridges (Figure 1, A, C, and D). To measure spacing variability, we compared the interquartile range of distances, revealing that variability decreased over time (Figure 1F). Variability measured as SD or coefficient of variation yielded the same result (not shown). These observations suggest that initially variable microridge spacing matured toward a specific spacing distance (Figure 1I).
To determine how microridge alignment changes as microridge spacing becomes less variable, we developed an “alignment index” measurement. First, we calculated orientation along each microridge, then defined and colored regions containing microridges aligned in a similar orientation (Figure 1G). White regions represent border areas with orientation disorder; in other words, where microridges with different orientations meet. Cells with more white regions (less saturated) have a more disordered microridge arrangement. In our alignment index, a cell with no aligned microridges (all white) would have an alignment index of 0, and a cell with perfectly parallel microridges (no white) would have an index of 1 (Figure 1H). This analysis revealed that the number of domains with aligned microridges decreased (and each domain increased in area) over time (Figure 1, G and H), demonstrating that microridges increasingly align parallel to one another as the skin develops.
To determine if population-level changes in microridge patterning reflect microridge maturation in individual cells, we scatter-labeled periderm cells with RFP, enabling us to identify the same cells day-to-day and thus track how microridge spacing and alignment change over time. Although each cell behaved differently, on average, microridge density increased, spacing became less variable, and microridges increasingly aligned between 48 and 96 hpf (Figure 2), demonstrating that population-level trends in microridge arrangement reflect the maturation of microridge patterns in individual cells toward a nematic arrangement.
Microridges continuously rearrange
To determine the mechanism by which microridge patterns change over time, we performed time-lapse imaging of periderm cells expressing Lifeact-GFP at 30-s intervals. At each developmental stage, pegs, the fingerlike precursor protrusions that coalesce to form microridges, continued to dynamically appear within and between microridges (Supplemental Video S1), likely contributing to microridge lengthening. As previously observed (Lam et al., 2015), microridges underwent two types of rearrangements that altered their pattern. First, intact microridges sometimes broke apart into two separate microridges; second, two separate microridges sometimes fused end-to-end to form a longer microridge (Figure 3A; Supplemental Videos S1 and S2). Imaging a reporter for the plasma membrane demonstrated that these events reflect fission or fusion of the whole protrusion, not just of its internal actin structure (Figure 3B; Supplemental Video S3). As microridges matured, rearrangement events decreased from 0.362 events/μm⋅min at 48 hpf to 0.155 and 0.115 events/μm⋅min at 72 and 96 hpf, respectively (Figure 3C; Supplemental Video S1). Fission and fusion events occurred with roughly equal frequency. The proportion of fission and fusion events did not change over time (Figure 3D), but the frequency of these rearrangements decreased as the pattern matured (Figure 3E, Spearman Correlation Coefficient = –0.832).
Cell stretching does not induce microridge rearrangement
Periderm cells are constantly pushed and pulled by neighboring cells as the epidermis grows. We therefore speculated that microridge fission and fusion may be induced by forces associated with cell shape distortion. To test this idea, we ablated periderm cells on either side of an observed cell using a laser on a 2-photon microscope (O’Brien et al., 2009b; van Loon et al., 2020). This procedure caused the central cell to stretch between the two wounds and often pucker or bulge in the orthogonal axis. Surprisingly, cell elongation did not increase microridge fission or fusion, but simply distorted microridges to accommodate the cells’ new shapes (Figure 3F; Supplemental Video S4). This observation suggests that microridges do not undergo fission or fusion simply as a result of cellular distortion, thus implying that remodeling events are actively regulated.
Microridge rearrangements require cortical NMII contraction
The apical cortex of periderm cells experiences pulsatile NMII-based contractions through at least 48 hpf (van Loon et al., 2020). These contractions are required for apical constriction and the coalescence of peg precursors to form and elongate microridges during initial stages of microridge morphogenesis (van Loon et al., 2020), but later functions have not been described. To test if cortical contraction affects microridge fission or fusion events, we made time-lapse videos of periderm cells expressing fluorescent reporters for both F-actin (Lifeact-Ruby) and NMII (Myl12.1-EGFP) (Maître et al., 2012; van Loon et al., 2020). At 48 hpf, periderm cells displayed local pulses of NMII reporter fluorescence in the apical cortex (Figure 4A; Supplemental Video S5), which we previously found to reflect NMII contraction (van Loon et al., 2020). Many of these contraction events correlated spatially and temporally with microridge rearrangements (Figure 4A). To quantify this correlation, we measured the distance between microridge rearrangement events and the nearest detectable NMII contractile pulse in the same frame. On average, 41% of microridge rearrangements occurred within 1 μm of an NMII contraction (Figure 4B). By contrast, when the NMII reporter channel was rotated 90°, only 22% occurred within 1 μm of a contraction (Figure 4B), indicating that the coincidence between contraction and rearrangement events did not occur by chance. These observations likely underestimate the number of rearrangement events associated with contraction, since contractions may be shorter-lasting or dimmer than we can detect with our reporter. NMII contractions equally correlated with fission and fusion events (Figure 4C).
To directly test if NMII contraction is required for microridge rearrangements, we treated 48 hpf fish with the specific NMII inhibitor blebbistatin (Straight et al., 2003) for 1 h, then made 9.5-min videos of periderm cells expressing Lifeact-GFP. NMII inhibition dramatically reduced fission and fusion compared with controls (Figure 4, D and E; Supplemental Video S6), demonstrating that NMII activity is required for microridge remodeling.
NMII contraction regulates microridge density and spacing
Given that NMII contraction promotes microridge rearrangements, and that these dynamic events negatively correlate with microridge alignment, we hypothesized that inhibiting NMII contraction may disrupt microridge maturation. To determine the long-term consequences of suppressing NMII activity, we treated zebrafish with blebbistatin for 24 h, starting at 48 hpf. Compared to controls, microridges in blebbistatin-treated animals were shorter, distributed less densely, and spaced more widely (Figure 5, A–E). These observations indicate that microridges must be actively maintained by contraction, which can facilitate the incorporation of new pegs into established microridges. Blebbistatin also increased microridge alignment (Figure 5F). This effect on alignment may be a consequence of the lower microridge density, since our alignment index measures the number of domains containing aligned microridges (Figure 5, B, D, and F), but could also indicate that suppressing contraction allows the system to settle into a local energy minimum (see Discussion). Since long-term NMII inhibition can have deleterious, indirect effects on cells, we compared microridges on individual cells before and after 1-h blebbistatin treatment. Similar to 24-h treatment, 1-h exposure to blebbistatin disrupted microridge spacing, decreasing density and increasing the microridge alignment index (Figure 6).
High-resolution imaging reveals individual NMII minifilaments in the cortex
Since NMII inhibition experiments could not disambiguate NMII’s role in regulating microridge fission and fusion, length maintenance, and spacing, we addressed these questions by imaging NMII organization and activity in the periderm cortex directly. To image NMII and F-actin with improved spatial resolution, we used Airyscan microscopy (Weisshart, 2014). Using this approach, the NMII reporter often appeared as pairs of puncta (Figure 7A). The Myl12.1-EGFP NMII reporter is a fusion of EGFP to a myosin regulatory light chain (Maître et al., 2012; van Loon et al., 2020), which binds near myosin heads at opposing ends of NMII minifilaments. We thus speculated that puncta pairs represent ends of single bipolar minifilaments. Consistent with this possibility, the median distance between intensity maxima of NMII reporter doublets was 281 nm (Figure 7B), similar to the reported length of bipolar minifilaments assembled in vitro (∼300 nm in length; Billington et al., 2013). To further test if these structures are individual minifilaments, we imaged periderm cells expressing reporters for both NMII light chain (Myl12.1-Ruby) and a C-terminally tagged NMII heavy chain (Myh9a-EGFP). A fluorophore at the C-terminus of NMII heavy chains should localize to the middle of minifilaments, between NMII heavy chain heads (Figure 7, C and D). Puncta in periderm cells expressing both reporters were arranged in the expected alternating pattern (Figure 7, C and D). Thus, our imaging system allows us to distinguish individual NMII minifilaments within the plane of the apical cortex in cells of living animals.
Cortical NMII minifilaments associate with pegs and microridges
To determine how NMII minifilaments are arranged relative to cell protrusions, we imaged them, along with F-actin, at several developmental stages. Prior to microridge formation (16 hpf), NMII minifilaments in the apical cortex were closely associated with microridge peg precursors (Figure 7A) and continued to associate with protrusions as pegs coalesced to form microridges. Rotating the NMII channel relative to the actin channel significantly reduced the proximity between actin and NMII fluorescence signals, demonstrating that the association of minifilaments with protrusions did not occur by chance (Supplemental Figure S2, A and B). At 24 hpf, NMII minifilaments were often attached to two separate microridges, bridging them end-to-end or side-to-side (Figure 7E). This organization was maintained as microridges matured: At 48 hpf many cortical NMII “bridges” formed perpendicular connections between adjacent microridges, often appearing to consist of two end-to-end minifilaments (Figure 7E).
NMII minifilaments orchestrate microridge rearrangement and spacing
To observe how the organization of NMII minifilaments in the cortex relates to protrusion dynamics, we made high-resolution videos of periderm cells expressing Lifeact-Ruby and Myl12.1-EGFP. During early morphogenesis, appearance and disappearance of pegs often correlated with appearance and disappearance of NMII reporter signal, and movement of pegs was associated with a corresponding movement of the NMII reporter (Figure 8A; Supplemental Video S7), confirming that NMII minifilaments are tethered to protrusions. At later stages, when microridges remodel, the orientation of NMII minifilaments correlated with the type of microridge rearrangement observed. Minifilaments connecting the ends of two microridges appeared to pull them together, fusing them into a longer microridge (Figure 8B; Supplemental Figure S2C; Supplemental Video S7). By contrast, minifilaments oriented perpendicular to microridges were often associated with fission events, which occurred at the point where microridges attached to the minifilaments (Figure 8B; Supplemental Figure S2D; Supplemental Video S7). To quantify these observations, we identified 30 fusion and 30 fission events by examining the actin channel, then examined the NMII channel to score the orientation of minifilaments relative to those events. Remarkably, in all cases of fusion (30/30), a minifilament appeared between the ends of the microridges that were about to fuse. Similarly, in all cases of fission (30/30), a minifilament was attached to the parent microridge prior to fission.
Minifilaments arranged perpendicular to microridges also appeared to regulate microridge spacing: the attachment of minifilaments to two parallel microridges brought them closer together, whereas their disappearance or detachment allowed the two microridges to drift apart (Figure 8C; Supplemental Figure S2E; Supplemental Video S7). These observations suggest that attachment to cortical NMII minifilaments allows microridges to sample different spacing arrangements on the apical surface.
DISCUSSION
Our study reveals that cortical NMII orchestrates a unique process for the patterning and maturation of microridges. Cells retain microridges on their surfaces for days, and likely even weeks, but, unlike extremely stable stereocilia, microridges continuously remodel through an NMII-mediated “recombination” process of fission and fusion as they mature toward a more ordered, nematic arrangement (Figure 9). Thus, at least during the first week of development, microridges are not permanent cell identifiers, like a fingerprint, but evolving structures that form new patterns over time.
Microridge pattern maturation minimizes surface energy
The increasing nematic order of maturing microridge patterns suggests that they are governed by an energy minimization principle, which can be explained with concepts defined by physics. Optimal parallel packing of microridges likely minimizes the bending and stretching energy of the lipid bilayer that is coupled to the underlying cortex. Consistent with this idea, we found that the size of local alignment domains increased, and their number decreased, as microridge patterns matured (Figures 1 and 2). Inevitably, initial disorder in the emerging pattern brings about sharp boundaries between the domains of local alignment. These boundaries are defects in the nematic order and thus associated with an energy penalty, a phenomenon well known in liquid crystals (Needleman and Dogic, 2017). The global energy minimum likely corresponds to concentric microridges arranged in parallel rings, like a target. Our observations show that microridge patterns, which are initially in states with many alignment domains, progress toward this well-ordered global minimum over time, a process that requires crossing energy barriers associated with fission and fusion of preexisting microridges.
Our results suggest that myosin activity facilitates energy barrier crossing, promoting fission and fusion and thus rearranging microridge patterns. The fact that myosin activity leads to microridge fission and fusion with approximately equal probability (Figure 4C) suggests that it does not increase their order or disorder per se, but rather provides quantal “kicks” that locally alter pattern topology. Thus, myosin activity is analogous to the thermodynamic temperature of the pattern—by randomly breaking and fusing individual microridges, myosin allows the pattern to cross energy barriers separating local energy minima. Following this thermodynamic analogy, the decrease in microridge rearrangement events over time corresponds to slowly lowering the temperature, or annealing, which is well known in physics to help systems reach lower energy states on complex energy landscapes with multiple minima (van Laarhoven and Aarts, 1987). Blebbistatin may represent rapid quenching (a sharp temperature drop) that allows the system to descend to the closest energy minimum, perhaps explaining why blebbistatin in our experiments increased the alignment index.
Microridges are modular protrusions
Both the initial formation and the remodeling of microridges demonstrate that they are modular structures: individual units (pegs) assemble into longer structures (microridges); once assembled, microridges can be broken at any point and attached to other microridges. This modular nature distinguishes microridges from other protrusions. However, the apparent simplicity of this process elides the complexity of rearrangement events at the molecular level, which likely involve multiple, locally regulated activities. Fission requires not just severing actin filaments but also locally disassembling a supramolecular network of F-actin, keratin filaments, and actin-binding proteins (Pinto et al., 2019), as well as membrane remodeling. Microridge remodeling events require NMII activity, but fission is likely instigated by upstream regulators that coordinate multiple biochemical activities. Such roles could be played by Rho family GTPases, which can regulate both F-actin stability and NMII contraction (Ridley, 2015; Kelkar et al., 2020), or Aurora B kinase, which promotes NMII activity (Minoshima et al., 2003; Touré et al., 2008) and disassembly of actin and keratin filaments (Field et al., 2019) at the cytokinetic furrow. Fusion likely requires local F-actin polymerization, the activity of F-actin cross-linking proteins that connect the cytoskeletal networks of the two parent microridges, and the reintegration of keratin filaments, which have the potential to connect with themselves end-to-end (Çolakog˘lu and Brown, 2009). Identifying the molecular mechanisms that execute fission and fusion would make it possible to test how each type of event separately contributes to the patterning process.
The orientation of cortical NMII minifilaments determines the nature of microridge rearrangements
Visualizing individual NMII minifilaments in the cortex of living cells provided insight into how they execute microridge rearrangements, as well as evidence that they play a direct role in microridge spacing (Figure 9). From the earliest steps of microridge morphogenesis, cortical minifilaments associate with protrusions (Supplemental Figure S2, A and B). This observation suggests that the ends of individual minifilaments are biochemically tethered to the base of pegs and microridges, orthogonal to actin filaments in these protrusions. When two pegs are tethered to opposite ends of a minifilament, contraction brings them closer together, providing an opportunity for them to fuse into a nascent microridge. Similarly, contraction of peg-to-microridge minifilament bridges may contribute to microridge elongation, and contraction of minifilament bridges connecting two microridge ends may promote microridge fusion. The recruitment of keratin filaments into these growing protrusions likely helps stabilize them (Inaba et al., 2020), preventing fusion events from reversing. By contrast, minifilaments tethered to the sides of microridges sometimes promoted fission, suggesting that minifilaments may pull on microridges to facilitate their local disassembly. If minifilaments bridged two parallel microridges, they often appeared to pull them closer together without severing them, providing direct evidence that NMII can regulate microridge spacing. At later stages, microridges were often linked by a bridge of two minifilaments aligned end-to-end. This arrangement raises the intriguing possibility that minifilaments could serve as molecular spacers for aligned microridges, similar to how spectrin tetramers determine the spacing of actin rings in axons (Xu et al., 2013). However, our observation with time-lapse imaging that cortical NMII minifilaments turn over within minutes makes them unable to serve as stable spacers. It is more likely that spacing length is determined by another factor, such as the minimization of membrane bending energy, and that minifilament-mediated rearrangements allow cells to sample patterns to achieve that minimal energy state.
Our findings demonstrate a surprisingly direct role for individual cortical minifilaments in physically pulling protrusions to rupture them, fuse them together, or alter their relative spacing. In a previous study, we identified a mechanistically distinct role for NMII activity during the earlier morphogenetic step of peg coalescence to form microridges (van Loon et al., 2020). Computational modeling suggested that cortical NMII activity reduced surface energy to allow peg coalescence and, indeed, experimentally reducing surface energy by treating animals with hyperosmolar media was sufficient to induce the spontaneous formation of microridges from pegs. Moreover, stretching cells by laser ablation induced cortical flow that promoted oriented peg coalescence. The distinct NMII-mediated mechanisms that we have identified in these two studies—reducing surface tension and directly pulling on microridges—act over different spatial scales, but likely both contribute to peg coalescence, since in this study we observed that two pegs are often connected by a minifilament. Conversely, the reduction of surface tension by cortical NMII contraction may also contribute to fission, fusion, and spacing events, alongside the direct pulling mechanism that we identified here. However, altering surface tension is not alone sufficient to cause fission or fusion, since stretching cells did not appreciably increase the frequency of these events.
Minifilaments are typically thought to be isotropically oriented in the cortex of interphase cells (Kelkar et al., 2020), but our findings suggest that their association with microridges causes them to adopt a highly organized arrangement in the cortex of periderm cells. In mature periderm cells, since microridges align with cell borders and with one another, their arrangement approximates an ideal targetlike concentric pattern; because minifilaments form perpendicular bridges between adjacent microridges, they are predominantly arranged radially toward the center of cells. Since contractility is influenced not just by minifilament density but also by the relative arrangement of NMII in the cortex (Kelkar et al., 2020), this unusual radial minifilament organization likely endows periderm cells with unique contractile properties. Collectively, our observations reveal a surprisingly organized arrangement of cortical minifilaments, indicating that understanding how cortical contraction executes specific biological processes will require a better understanding of cortical minifilament architecture.
MATERIALS AND METHODS
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Zebrafish
Zebrafish (Danio rerio) were raised at 28.5°C on a 14-h/10-h light/dark cycle. Embryos were raised at 28.5°C in embryo water composed of 0.3 g/l Instant Ocean salt (Spectrum Brands) and 0.1% methylene blue. Previously characterized zebrafish lines in this paper include AB wild-type fish (ZFIN: ZDB-GENO-960809-7), Tg(krt5:Gal4) (Rasmussen et al., 2015), Tg(UAS:Lifeact-GFP) (Helker et al., 2013), Tg(krt5:Lifeact-Ruby), and Tg(krt5:Myl12.1-EGFP) (van Loon et al., 2020). Tg(krt5:Gal4/+;UAS:Lifeact-GFP/+) zebrafish were incrossed or outcrossed to wild type and screened for brightness on the day of imaging using a fluorescence dissecting microscope. For Airyscan microscopy, Tg(krt5:Myl12.1-EGFP) zebrafish were incrossed and injected with krt5:Lifeact-Ruby and krt5:Myl12.1-EGFP plasmids to improve brightness. All experimental procedures were approved by the Chancellor’s Animal Research Care Committee at the University of California, Los Angeles (UCLA).
Plasmids
Previously characterized plasmids in this paper include krt5:Myl12.1-EGFP (van Loon et al., 2020) and UAS:mRuby-PH-PLC (Jiang et al., 2019). The krt5-Myh9a-mCherry was constructed using the Gateway-based Tol2-kit (Kwan et al., 2007). The following vectors used to construct krt5-Myh9a-mCherry have previously been described: p5E-krt5 (Rasmussen et al., 2015), p3E-mCherrypA (Kwan et al., 2007), and pDestTol2pA2 (Kwan et al., 2007). The Myh9a coding sequence was cloned from a cDNA library of 5dpf zebrafish larvae using the following primers: Forward: 5′-GGGGACAAGTTTGTACAAAAAAGCAGGCTATATGTCAGACGCAGAGAAGTTC-3′; Reverse: 5′-GGGGACCACTTTGTACAAGAAAGCTGGGTCTTACTCAGGAGTTGGCTCG-3′.
For transient transgene expression, ∼5 nl plasmid (∼25 ng/μl) was injected into single-cell zebrafish embryos.
Microscopy
Live fluorescent images and videos of periderm cells were acquired on a Zeiss LSM800 confocal microscope. Images were acquired with Zeiss Zen Blue software using an EC Plan-Neofluar 40×/1.30 oil DIC M27 objective with 2–3× digital zoom. Optimal resolution and Z-stack intervals were set using Zen software, except for videos for which a Z-stack interval of 0.75 μm was used to improve imaging speed. During imaging, zebrafish slide chambers were mounted on a heated stage set to 28°C. The x-y position and z-stack were occasionally adjusted during time-lapse imaging to keep the cells of interest in the frame. For longitudinal experiments, between 48 and 96 hpf, zebrafish were rescued from mounting agarose each day after imaging using forceps, then placed in separate petri dishes for mounting and imaging on subsequent days.
Airyscan microscopy was performed on a Zeiss LSM 880 confocal microscope with Airyscan in the Broad Stem Cell Institute Research Center/Molecular, Cell and Developmental Biology microscopy core at UCLA. Images were acquired with Zeiss Zen Black software using an Plan-Apochromat 63×/1.4 oil DIC M27 objective with 2–5× digital zoom. After acquisition, Airyscan processing was performed with the default settings on Zen Black.
To ablate periderm cells expressing Lifeact-GFP, we adapted a previously described method (O’Brien et al., 2009a; van Loon et al., 2020). Videos of cell stretching by periderm cell ablation were acquired using Zeiss Zen Black Software on a Zeiss LSM 880 multiphoton microscope using an EC Plan-Neofluar 40×/1.30 oil DIC M27 objective and a Coherent Chameleon Ultra II laser at a wavelength of 813 nm. A 488-nm laser was used to find and focus on the cell surface at 250× digital zoom, and the cell was then exposed to 813-nm laser illumination for 3–4 s at 5–6% laser power using “live” scanning.
Drug treatment
The (-)-Blebbistatin (Cayman Chemical) was dissolved in DMSO (Fisher Scientific). Treatment solutions were made with Ringer’s Solution and included the inhibitor, or equivalent concentration of DMSO (≤ 1%), as well as up to 0.4 mg/ml MS-222 (Sigma). Zebrafish larvae were exposed to the treatment solution for the specified period of time, then mounted in agarose and immersed in the same solution. For treatments longer than 2 h, larvae were initially exposed to a treatment solution without MS-222 and then transferred to a similar solution containing up to 0.4 mg/ml MS-222 ≥ 30 min prior to imaging. For longitudinal experiments with blebbistatin, fish were first mounted in agarose and imaged, then rescued from agarose using forceps and exposed to treatment solutions. Approximately 30 min after exposure to treatment solutions, zebrafish were again mounted in agarose and slide chambers were filled with treatment solution. Zebrafish were imaged again after 1-h exposure to treatment solutions.
Image analysis and statistics
All statistical testing was performed using RStudio (RStudio). Data distributions were assessed for normality using the Shapiro–Wilk test and visually inspected using Q-Q plots. The appropriate parametric or nonparametric tests were then selected based on the normality of the data distributions being compared.
Microridge analysis was performed using a custom Python script. Images of periderm cells were sum-projected and smoothened with a Gaussian filter. Pixel intensities were then normalized based on the modality of their intensity distribution. Unimodal distributions were normalized to the full width at the half maximum, while bimodal distributions were normalized to values between both maxima. Images were then processed with a Hessian filter, thresholded, and skeletonized. Vectorized skeletons were smoothened and fitted to a normalized cell image to produce vectorized microridge lines. Distances between microridges and microridge orientations were then calculated. Microridge alignment domains were calculated by interpolating Q-tensor (Q = v ⊗ v – ½I, where v is a unit tangent vector and I is a unit tensor).
Image management for presentation was performed using FIJI (Schindelin et al., 2012). The brightness and contrast of images were adjusted for the purpose of presentation. All movies were stabilized for presentation and analysis purposes using the Image Stabilizer FIJI plugin (Kang Li@CMU - Image Stabilizer Plugin for ImageJ).
Microridge fusion and fission events were identified manually using the FIJI Multi-point tool. To measure distances from NMII contractions to fusion and fission events, NMII images were smoothened and contractions were automatically thresholded in FIJI with the Triangle method, then distances were measured between microridge rearrangement events and the edge of the nearest contraction using “rgeos” and “sp” R packages.
Supplementary Material
Acknowledgments
We thank Sally Horne-Badovinac, Yasuko Inaba, and Kadidia Pemba Adula for comments on the manuscript; Son Giang and Linda Dong for excellent fish care; and Nat Prunet in the BSCRC/MCDB microscopy core for help with Airyscan microscopy. This work was funded by National Institutes of Health Grant R01GM122901 to A.S. and by the Biotechnology and Biological Sciences Research Council of UK Grants BB/P01190X and BB/P006507 to A.B.G. A.P.v.L. was supported by the Ruth L. Kirschstein National Research Service Award (GM007185).
Abbreviations used:
- dpf
days post-fertilization
- hpf
hours post-fertilization
- Myl12.1
Myosin light chain 12.1
- NMII
non-muscle myosin II.
Footnotes
This article was published online ahead of print in MBoC in Press (http://www.molbiolcell.org/cgi/doi/10.1091/mbc.E21-05-0258) on June 3, 2021.
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