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. 2026 Oct 1;14:RP108588. doi: 10.7554/eLife.108588

Bidirectional redistribution of actomyosin drives epithelial invagination in ascidian siphon tube morphogenesis

Jinghan Qiao 1,†, Pengyu Yu 2,†, Hongzhe Peng 1, Wenjie Shi 1, Bo Li 2,✉, Bo Dong 1,3,✉
Editors: Deborah Yelon4, Didier YR Stainier5
PMCID: PMC13630385  PMID: 42821441

Abstract

How epithelia perform a spatiotemporal heterogeneous force-generating program to drive a sequential tissue morphogenesis remains unclear, particularly the underlying precise mechanical mechanisms. This study investigated dynamic actomyosin reorganization between apical and lateral membrane cortex regions during two sequentially invaginated stages of atrial siphon tube morphogenesis in the ascidian Ciona. At the initial invagination stage, the originally lateral-located actomyosin redistributed to the apical domains, while that actomyosin redistributed back to lateral domains at the accelerated invagination stage. Using genetic mutants to modulate myosin activities, the initial invagination was strengthened or abolished, indicating invagination is apical constriction-dependent. Optogenetic inhibition of myosin activities in lateral domains after initial invagination stage blocked the further processes, suggesting lateral constriction of actomyosin is required for the accelerated invagination. Vertex model simulations uncovered a coupled mechanism underlying epithelial invagination driven by apicobasal tension imbalance and lateral contraction. We thus propose an actomyosin redistribution mechanical model: lateral actomyosin first redistributes apically to drive apical constriction and shape the initial invagination, then apical actomyosin redistributes laterally to promote lateral contractility and accelerate invagination. Our findings reveal a bidirectional reorganization of the actomyosin network as a central mechanism driving epithelial invagination, providing insights on epithelial invagination and organ morphogenesis during development.

Research organism: C. intestinalis

Introduction

Morphogenesis, by which cells and tissues acquire their shape and structure, is a central theme in developmental biology. The tissue shape transformation in morphogenesis is fundamentally driven by the spatiotemporally regulated biomechanical forces (Collinet and Lecuit, 2021; Matter and Balda, 2003; Štorgel et al., 2016). The generation and conduction of biomechanical forces play an essential mechanism of morphogenesis, via regulating cell rearrangement, division, and deformation at both cellular and tissue scales (Chan et al., 2017; Lecuit et al., 2011; Matter and Balda, 2003; Nagafuchi, 2001; Osswald et al., 2022; Tepass, 2002). Among these, actomyosin contractility plays a pivotal role in generating biomechanical tension at the subcellular level, which is the basis of cell and tissue-level morphogenesis (Chung et al., 2017; Even-Ram et al., 2007; Fristrom, 1988; Lee and Harland, 2007; Popkova et al., 2024; Vicente-Manzanares et al., 2009; Zartman and Shvartsman, 2010). Despite the widely acknowledged critical role of biomechanical forces in morphogenesis, the precise mechanisms by which these forces regulate cell and tissue remodeling, particularly how cells reorganize contractile domains in space and time to coordinate sequential morphogenetic events, remain a significant challenge.

A typical example of morphogenesis is the transition from simple epithelial sheets to complex three-dimensional architectures (Collinet and Lecuit, 2021). A large number of previous studies demonstrated the function of apical constriction in epithelial sheet invagination, such as in the invagination process of the Drosophila embryonic trachea (Schottenfeld et al., 2010) and salivary gland placode (Pearl et al., 2017). However, more and more studies have noted that apical constriction itself is not sufficient in shaping complex epithelial three-dimensional structures and various epithelial tube shapes (Kondo and Hayashi, 2013; Pearl et al., 2017). So, an interesting question is how epithelial cells perform a spatiotemporal heterogeneous force-generating program to drive a sequential epithelial tissue reshaping.

Marine ascidian Ciona is an excellent model for studying morphogenesis due to its simple developmental process, transparent embryos, and its close evolutionary relationship with vertebrates (Blair and Hedges, 2005; Delsuc et al., 2006; Zhao et al., 2021). For example, asymmetrical actomyosin contractility in the notochord was demonstrated to provide force for tail bending (Lu et al., 2020; Peng et al., 2020). Local myosin activation coupled with junctional rearrangements drives directional zippering (Fiuza and Lemaire, 2021; Hotta et al., 2007; Kourakis et al., 2010; Hashimoto et al., 2015; Hashimoto and Munro, 2019) in neural tube closure, and cell cortex distribution and the stability of tight junctions were essential for notochord tube lumen opening and expansion (Shi et al., 2025). Actomyosin sequentially localized on the apical and basolateral cell surfaces to drive the endodermal invagination (Fiuza and Lemaire, 2021; Hotta et al., 2007; Kourakis et al., 2010). However, this transition is from apical to basolateral (Sherrard et al., 2010), and basolateral myosin has been shown to contribute to apical–basal cell shortening and invagination. Similarly, in Drosophila gastrulation, apical constriction initiates ventral furrow formation (VFF), but lateral myosin is not absolutely required for the later stages; indeed, the second phase of invagination can proceed even when lateral contractility is compromised (Guo et al., 2022). This again suggests that the role of lateral contractility during invagination remains underexplored.

Ciona and vertebrates share evolutionary developmental homology. There may be a potential homology between the otic placode of vertebrates and the atrial siphon primordium of Ciona (Kourakis et al., 2010). The atrial siphon forms from a non-dividing region in the lateral–dorsal epidermis of the head and follows a separate developmental trajectory (Hotta et al., 2020; Kourakis et al., 2010). Invagination initially generates shallow pits, which later deepen and connect to the gut lumen after metamorphosis, creating two atrial siphons (Hotta et al., 2007; Kourakis et al., 2010). Eventually, the left and right siphons fuse to form a single atrial siphon (Chiba et al., 2004). Despite these observations, the early cellular events during atrial siphon tube morphogenesis remain incompletely understood.

In this study, we investigated the morphogenesis of the Ciona atrial siphon. Firstly, the detailed cellular process of Ciona atrial siphon formation through initial and the accelerated stages was described by visualizing cell boundary and nuclei. By combining actomyosin localization analysis, genetic manipulation, and vertex model simulations, we demonstrated that lateral actomyosin first redistributed apically to drive apical constriction and established the initial invagination, then redistributed laterally to promote cell shortening and the further atrial siphon tube invagination. Disruption of myosin activity altered invagination timing, while optogenetic inhibition of myosin activity after initial apical constriction stage blocked the further invagination. Furthermore, a cell-based vertex model was established to validate the relationship between contractile force redistribution and epithelial invagination. The coupled biomechanical mechanisms induced by apicobasal imbalance and lateral contraction were uncovered as fundamental determinants of the atrial siphon invagination. These results provide new insights into the biomechanical control of tissue morphogenesis and highlight the value of marine model organisms for addressing fundamental questions in developmental biology.

Results

The cellular processes of Ciona atrial siphon invagination

To investigate the early cellular events during atrial siphon morphogenesis, we performed actin filament (F-actin) staining on the fixed samples to capture the detailed cellular dynamics (Figure 1A). The cell at the bottom center of the invaginating region was defined as the ‘center cell’ (Figure 1B). Measurements taken at different stages included the height and apical-to-basal area ratio of the center cell, the invagination depth of the atrial siphon, and the linear distance between the −3/–4 and +3/+4 cell junctions (Figure 1B–E, Figure 1—figure supplement 1). At the initial invagination stage (13.5–16.0 hpf), the center cell height increased, the apical-to-basal area ratio decreased, and the protruding cell surface became an inward pit, but no significant invagination occurred (Figure 1A), as reflected by a low invagination slope (k = 0.2617). During the accelerated stage (16.0–18.0 hpf), the center cell height decreased, the apical-to-basal area ratio stabilized, and invagination progressed rapidly (k = 2.7920). EdU incorporation and TUNEL assays demonstrated that neither cell division nor apoptosis was involved in the whole invagination process (Figure 1—figure supplement 2).

Figure 1. Cellular processes of Ciona atrial siphon tube invagination.

(A) Representative images of atrial siphon morphogenesis in Ciona embryos from 13.5 to 18 hpf. The white arrow indicates the central cell. Scale bar: 10 μm. (B) Measurement parameters of the Ciona atrial siphon. The cell undergoing the most prominent apical constriction at the center of invagination was defined as the center cell (0). The adjacent cells on the left and right were defined sequentially as −1,–2, −3,–4 and +1, +2, +3, +4, respectively. (C) Quantification of the invagination depth in the atrial siphon of Ciona embryos. Red lines indicate linear regression fits of invagination depth during the initial (13.5–16 hpf, k = 0.2617) and accelerated (16–18 hpf, k = 2.7920) stages. n = 20. (D, E) Quantification of the center cell height and apical-to-basal area ratio at the atrial siphon of Ciona embryos. The blue-shaded region represents the initial stage, while the orange-shaded region indicates the accelerated stage. n = 20.

Figure 1—source data 1. Quantification of tissue geometry and F-actin intensity during Ciona atrial siphon invagination.

Figure 1.

Figure 1—figure supplement 1. Quantification of F-actin intensity and intercellular distance during Ciona atrial siphon morphogenesis.

Figure 1—figure supplement 1.

(A) Normalized F-actin intensity at the apical and lateral regions of center cells during Ciona atrial siphon morphogenesis (basal level set to 1). (B) Quantification of the linear distance between the −3/–4 and +3/+4 cell junctions at the apical or basal surface in the atrial siphon of Ciona embryos. The blue-shaded region represents the initial stage, while the orange-shaded region indicates the accelerated stage. Representative images are shown in Figure 1A. n = 20.
Figure 1—figure supplement 2. EdU and TUNEL staining during Ciona atrial siphon morphogenesis.

Figure 1—figure supplement 2.

(A) Representative images of EdU staining at 14–15 hpf. Orange: EdU-positive nuclei indicating cell proliferation. Blue: DAPI. No EdU signal was detected in the atrial siphon primordium (white dashed outline). Scale bar: 10 μm. n = 10. (B) Representative images of TUNEL staining at 15 hpf. (B1) Positive control: DNase I pretreatment (20 U/ml, 10 min) induced DNA fragmentation. (B2) Negative control: staining performed without terminal deoxynucleotidyl transferase (TdT) enzyme. (B3) Experimental group: no detectable TUNEL signal in the atrial siphon primordium (white dashed outline). Scale bar: 10 μm. n = 10.

Bidirectional redistribution of actomyosin between apical and lateral domains during atrial siphon tube invagination

To analyze the forces driving atrial siphon tube invagination, we first visualized the distribution of F-actin and quantified its dynamics at different cellular domains (Figure 1—figure supplement 1A). During the initial invagination stage, before 15 hpf, F-actin concentration decreased at the lateral domains, while gradually increasing around the apical membrane, resulting in a higher F-actin accumulation at the apical region. Subsequently, the F-actin concentration at the lateral region started to increase and exceeded that in the apical domain at 16 hpf (Figure 1—figure supplement 1A).

Using anti-pS19 MRLC antibody, we examined the spatial and temporal patterns of myosin activity within the atrial siphon primordium. Quantification of signal intensities from the apical, basal, and lateral regions during the initial and the accelerated stages showed that active myosin underwent a clear bidirectional redistribution (Figure 2A, B). During the initial invagination stage (before 16 hpf), myosin activity shifted from the lateral to the apical domain, resulting in higher apical levels. In contrast, during the accelerated stage (after 16 hpf), myosin redistributed from the apical to the lateral domain, leading to predominant lateral enrichment (Figure 2B). This redistribution pattern of active myosin showed a similar trend to that of F-actin in the corresponding phases, although the changes in F-actin did not reach statistical significance during the initial stage.

Figure 2. Bidirectional redistribution of actomyosin between apical and lateral domains during atrial siphon tube invagination.

Figure 2.

(A) Representative images of Ciona embryos stained for active myosin II (anti-pS19 MRLC, red) and F-actin (green) at different stages of atrial siphon invagination. Scale bar: 10 μm. (B) Normalized fluorescence intensity of active myosin II (anti-pS19 MRLC) and F-actin at the apical and lateral regions of center cells during different stages of atrial siphon invagination (basal level set to 1). The blue-shaded region represents the initial stage, while the orange-shaded region indicates the accelerated stage. **p < 0.01, ***p < 0.001, ****p < 0.0001, n = 20. (C) Schematic model illustrating the mechanical forces driving atrial siphon primordium invagination. Brown arrows indicate the direction of contractile forces; red areas depict active myosin II localization.

Figure 2—source data 1. Quantification of active myosin II and F-actin fluorescence intensity at apical and lateral domains during atrial siphon invagination.

Additionally, top view imaging showed that during the initial stage, atrial siphon primordium cells were arranged in a circular pattern (Figure 2A). Active myosin exhibited a similar ring-like localization, and this ring-like pattern extended to about 15–20 cells of the primordium, indicating that the early stages of atrial siphon morphogenesis are driven by circumferential contractile forces generated by phosphorylated myosin, facilitating inward constriction of the primordium (Figure 2A, B). Furthermore, quantification of the lateral cell distance (Figure 1—figure supplement 1B) demonstrated a reduction in spacing between peripheral cells, indicating that surrounding cells moved centripetally toward the center position.

Integrating the localization of actomyosin with the observed cell shape changes, we propose a hypothesis in which the bidirectional reorganization of contractile forces at the apical and lateral regions drives epithelial invagination during atrial siphon morphogenesis (Figure 2C). Initially, actomyosin redistributed from the lateral regions to the apical domains, generating contractile forces for apical constriction (Figure 1—figure supplement 1A). Meanwhile, the inward compression from surrounding cells facilitates cell elongation, establishing the initial invaginated cell morphology and preparing for subsequent morphogenesis (Figure 1—figure supplement 1B). Then, actomyosin redistributed from the apical domains to the lateral regions, generating contractile forces that promoted center cell shortening and accelerated the tissue invagination (Figure 2C).

Center cell height is coupled with invagination depth

To further verify our hypothesis and explore the relationship between myosin contractility, force redistribution, and the progression of invagination, we overexpressed MRLC (T18ES19E)::mCherry (a diphosphorylated mutant that enhances myosin activity) (Espinoza-Fonseca et al., 2014), MRLC (T18AS19A)::mCherry (an unphosphorylated mutant that reduces myosin activity) (Iwasaki et al., 2001) and MRLC::mCherry (wild-type control) in the atrial siphon primordium to modulate contractile force in embryos, respectively (Figure 3A, B). The results showed that the invagination initiated earlier (15 hpf) compared to the control group in MRLC (T18ES19E)-expressed embryos. At 16 hpf, the MRLC (T18ES19E) group exhibited a deeper invagination and shorter center cell height. In contrast, in the MRLC (T18AS19A) group, the invagination initiation time was delayed. Even at 16 hpf, the center cell height did not decrease, and the invagination did not occur (Figure 3B). Notably, the increase in invagination depth is strongly correlated with the reduction in center cell height, with both changes occurring synchronously across experimental groups with different myosin activities (Figure 3B). These results demonstrate a strong coupling between the reduction in center cell height and the increase in invagination depth, suggesting that this process is closely associated with the redistribution of myosin localization from the apical to lateral regions as invagination progresses.

Figure 3. Modulation of atrial siphon invagination by overexpression of myosin mutants.

Figure 3.

(A) Representative images of Ciona atrial siphon primordium expressing wild-type and mutant MRLC constructs. Scale bar: 10 μm. (B) Quantification of invagination depth and the center cell height in MRLC (T18ES19E), MRLC (T18AS19A), and MRLC groups. The blue-shaded region represents the initial stage, while the orange-shaded region indicates the accelerated stage. *p < 0.05, **p < 0.01, ***p < 0.001, ****p < 0.0001.

Figure 3—source data 1. Invagination depth and center cell height in MRLC mutant and control embryos.

Inhibition of myosin activity during apical-to-lateral redistribution impedes invagination progression

To further examine the necessity of the redistribution of myosin between the apical and lateral regions during invagination, we utilized an optogenetic MLCP-BcLOV4 (Berlew et al., 2021; Berlew et al., 2020; Berlew et al., 2022; Glantz et al., 2019; Glantz et al., 2018; Yamamoto et al., 2021) system (Figure 4A) to specifically inhibit myosin II activity at the critical redistribution time point between the initial invagination and the accelerated invagination stage (16–17 hpf). This system has been proven to effectively reduce the contractility of epidermal cells in Ciona embryos (Qiao et al., 2023). Compared to the control group (Figure 4—figure supplement 1) and dark treatment group, the experimental group with 1 hr light exposure, which activated the optogenetic system, blocked further invagination (Figure 4B, Figure 4—videos 1 and 2), and while invagination ceased to deepen, the center cell height did not show a significant decrease (Figure 4C, D). Immunostaining of active myosin (p-MLC) revealed that after light exposure, lateral myosin intensity was significantly reduced compared to the dark control group, whereas apical myosin levels decreased similarly in both groups (Figure 4—figure supplement 2). This indicates that the optogenetic manipulation effectively attenuates lateral contractility during the accelerated invagination stage, while apical contractility undergoes its normal developmental downregulation (Figure 2B) and shows no significant difference between Light and Dark groups (Figure 4—figure supplement 2B). Together, these results confirm that the redistribution of myosin contractility from the apical to lateral regions, specifically the acquisition of lateral contractility, is essential for the progression of invagination.

Figure 4. Disruption of contractile forces during rapid invagination of the Ciona atrial siphon using an optogenetic system.

(A) Schematic diagram depicting the structure and mechanism of the MLCP-BcLOV4 system. The PP1C::MYPT169::BcLOV4::mCherry::NES fusion protein is initially dispersed in the cytoplasm. Upon exposure to blue light, BcLOV4 undergoes a conformational change, allowing it to interact electrostatically with the plasma membrane. This leads to the recruitment of the PP1C and MYPT169 components, subunits of myosin light chain phosphatase (MLCP), to the membrane, where they reduce myosin activity. (B) Representative images of developmental progression in the MLCP-BcLOV4 expression group exposed to blue light for 1 hr, and in the dark control group maintained in darkness for 1 hr. Scale bar: 10 μm. (C, D) Quantification of invagination depth and the center cell height in the MLCP-BcLOV4 expression group, the dark control group, and MLCP control group (Figure 4—figure supplement 1). *p < 0.05, ***p < 0.001, ****p < 0.0001.

Figure 4—source data 1. Quantification of invagination depth, center cell height, and normalized active myosin II intensity in optogenetic experiments.

Figure 4.

Figure 4—figure supplement 1. MRCL control group in the optogenetic experiment.

Figure 4—figure supplement 1.

(A) Schematic diagram depicting the structure and mechanism of the MLCP control system. The PP1C::MYPT169::mCherry::NES fusion protein remained diffuse in the cytoplasm under light exposure and failed to function. (B) Representative images of developmental progression in the MLCP control group exposed to blue light for 1 hr. Scale bar: 10 μm.
Figure 4—figure supplement 2. Optogenetic inhibition effectively reduces the activity of lateral myosin.

Figure 4—figure supplement 2.

(A) Representative images of active myosin II (anti-pS19 MRLC, red) and F-actin (green) staining in the MLCP-BcLOV4-expressing embryos after 1 hr of light exposure or dark control. Scale bar: 10 μm. (B) Quantification of normalized active myosin II intensity at the apical and lateral domains of the center cell. **p < 0.01.
Figure 4—video 1. The developmental processes of the MLCP control group under blue light illumination for 1 hr.
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Scale bar: 10 μm.
Figure 4—video 2. The developmental processes of MLCP-BcLOV4-expressed group under blue light illumination for 1 hr.
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Scale bar: 10 μm.

Vertex model simulations recapitulate the mechanical process of ascidian siphon tube invagination

The morphological invagination of epithelial tissues is a conserved mechanical process across diverse developmental contexts. In the early ascidian embryo, a small-scale endoderm plate of only 10 cells undergoes invagination via a two-step program of apical constriction and basolateral cell shortening (Sherrard et al., 2010). While the redistribution of actomyosin in this system closely mirrors what we observe in the siphon primordium, their gastrulation-stage movement represents a global evolution of embryonic geometry. In contrast, the invagination of the atrial siphon is a distinctly localized active process within a much larger tissue. A more analogous and extensively studied system is the Drosophila VFF, where apical constriction initiates the initial tissue bending (Brodland et al., 2010; Polyakov et al., 2014). The progression into a deep fold further requires lateral contractility (Conte et al., 2012), and is significantly facilitated by in-plane compressive stresses generated by the surrounding tissues (Guo et al., 2022). These studies have established and refined a vertex model framework, effectively elucidating the mechanical underpinnings of such morphogenetic events.

Notably, these classic vertex models of VFF typically incorporate the vitelline membrane—a rigid, non-adhesive extraembryonic shell that tightly encloses the embryo—as a boundary condition (Brodland et al., 2010; Conte et al., 2012; Guo et al., 2022; Polyakov et al., 2014). This membrane acts as a critical external constraint that prevents any outward expansion of the cells. Under such confinement, the mechanical strain generated by active contractility has no freedom degree for outward displacement and can only be released through inward invagination into the yolk. However, in the case of the ascidian siphon, the larval head is enclosed only by a soft, elastic tunic, without such rigid mechanical constraint. In this relatively free-moving tissue, the mechanical mechanism by which a spatiotemporally regulated actomyosin redistribution drives invagination remains to be elucidated.

To evaluate how the bidirectional redistribution of actomyosin drives invagination, we developed a cell-based two-dimensional (2D) vertex model based on previous studies (Guo et al., 2022; Polyakov et al., 2014), and performed simulations for atrial siphon morphogenesis. The 2D cross-section of the Ciona embryo head along the transverse plane of its anterior–posterior axis was represented by polygonal cells connected in a circular arrangement, surrounding the inner cells (Figure 5A, Figure 5—figure supplement 1). Since the actomyosin redistribution is highly localized within the surface epithelium, we defined this domain as a local active region occupying an initial θ-degree arc of the entire circular tissue. To maintain structural integrity while focusing on epithelial mechanics, the internal cells were simplified as volume-incompressible bulk, providing mechanical support during the invagination process. Cell deformation and tissue morphology were simulated through vertex dynamics, governed by an effective energy functional that accounts for cell area conservation, passive cortical contractility, epithelial bending stiffness, and particularly spatiotemporally regulated active line tensions (Figure 5A, see Methods for details). The redistribution of actomyosin from apical to lateral domains was described by the temporal evolution of normalized intensities mJa and mJl on the apical and lateral edges of cell J. Following the normalization of F-actin intensity to the basal surface in experimental measurements (Figure 1—figure supplement 1A), the model adopted the basal actomyosin intensity (mJb=m0) as a non-contractile baseline. The active line tension on the apical or lateral domains was then formulated as kma,l(mJa,l−m0), representing the force generated by actomyosin enrichment above the basal baseline, with km serving as the tension coefficient. The intensity m within the active region was prescribed by a Gaussian distribution that is centered at the center cell (with index 0) and spans the seven active cells (from index −3 to +3) (Figure 5A, see Methods for details). At 13 hpf, the epithelial cross-section of the larval head comprises approximately 50 cells. Numerical simulations were therefore initiated using a circular epithelium of N=50 cells to examine the morphological processes driven by active tensions (see Methods). Although the tissue expands and its geometry becomes flatter as development proceeds, as observed experimentally (Figure 5—figure supplement 1), the size of the active region is much smaller than the total tissue size. Thus, the model focused on the localized impact of actomyosin-driven deformation while omitting global tissue growth. The mechanical implications of tissue size evolution will be discussed further below.

Figure 5. Vertex model simulations of siphon invagination.

(A) Schematic of cell-based vertex model. The epithelial tissue is represented by polygonal cells connected in a circular arrangement, surrounding inner supporting cells. The tissue is partitioned into an active region (consisting of cells with indices −3 to +3) with localized active forces, and an inactive region without actomyosin intensity. The effective energy U takes into cell area constraint (modulus KA), passive cortical contraction (coefficient KC), tissue surface bending (stiffness KB), tissue area constraint (modulus KAt), and active line tensions on apical and lateral edges (coefficient km). (B) Temporal evolution of actomyosin intensities at apical, lateral, and basal domains of the center cell in the model, parameterized based on experimentally measured F-actin distribution. (C) Evolution curves of invagination depth (orange) and center cell height (blue) in simulations. Dots represent corresponding experimentally measured values. (D) Snapshots at specific timepoints during simulation progression (bottom), compared with corresponding experimental images (up). Colors on cell edges represent the normalized actomyosin intensity (Figure 5—figure supplement 1). Entire head morphology of Ciona embryo. (A, B) Bright-field images showing the entire head of Ciona embryos at 13 and 18 hpf, illustrating how the tissue geometry becomes flatter during growth. Black arrow indicates the position of atrial siphon. Scale bar: 100 μm.

Figure 5.

Figure 5—figure supplement 1. Entire head morphology of Ciona embryo.

Figure 5—figure supplement 1.

(A, B) Bright-field images showing the entire head of Ciona embryos at 13 and 18 hpf, illustrating how the tissue geometry becomes flatter during growth. Black arrow indicates the position of atrial siphon. Scale bar: 100 μm.
Figure 5—video 1. Vertex model simulation of atrial siphon invagination.
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Our mechanical model successfully reproduced the cell shape evolution and invagination of the atrial siphon observed in experiments (Figure 5C, D, Figure 5—video 1). During the initial stage, the rapid accumulation of actomyosin on the apical surface in the active region gives rise to apical tension. This localized contraction induces apical narrowing and leads adjacent cells to incline toward the center. The resulting cell elongation breaks the initial apicobasal symmetry, thereby initializing the invagination into the basal side during 15–16 hpf. After 16 hpf, the lateral actomyosin intensity increases significantly and induces high contractility on the lateral surface, pulling cells and shortening the cell height. The synergy between apical and lateral contraction further drives the invagination process, ultimately establishing the characteristic siphon-like epithelial architecture (Figure 5D). The invagination depth is quantified as the vertical distance from the apical surface of the center cell to a baseline connecting the apical junctions of cells ±4 and ±5 , and the height of the center cell is defined as the vertical distance between its apical and basal surfaces. Both quantifications obtained from the simulations are consistent with the experimentally measured data (Figure 5C), which confirms the validity of our model in capturing the mechanical process of ascidian siphon tube invagination.

Note that we find that ‘puckering’ shape occurs surrounding the invagination in simulations (Figure 5D). Previous vertex models of VFF simulating cells within a rigid unmovable boundary do not exhibit this effect, and the invaginating cells remain tightly adherent, collapsing into a solid structure rather than forming a hollow tube (Conte et al., 2012; Polyakov et al., 2014). However, in our system of siphon morphogenesis, a tubular structure ultimately forms in the epithelium without strong boundary constraints. The final tubular structure is accompanied by significant F-actin accumulation at the apical surface (Figure 1A), which provides mechanical support and bending resistance (Hirashima and Matsuda, 2024; Wyatt et al., 2020). Thus, this ‘puckering’ in our simulations arises from the bending energy, which enforces smooth curvature transitions along the circular surface. Actually, similar mild puckering is also observed in vivo at early stages (∼17 hpf in Figure 1A), when the tissue size is small, but it rapidly disappears as the tissue grows and the geometry becomes flatter. Therefore, in our model, this shape discrepancy is expected to diminish as the mean curvature decreases in a larger system (see Figure 6D). In addition, incorporating the cell–cell adhesion between the surface epithelium and internal bulk cells likely further suppresses this puckering in vivo, as outward evagination would require the coordinated deformation of underlying tissues.

Figure 6. Mechanics of siphon invagination revealed by vertex model simulations.

Invagination depth (A) and center cell height (B) regulated by changes in actomyosin intensities under the scaling factor α at both apical and lateral regions of all active cells. The data points are from the mutant experiments in Figure 3B. (C) Contributions of apical and lateral contractility. Simulations lacking lateral (left) or apical (right) activity result in shallower invagination or outward evagination, respectively, which highlight the distinct roles of apical constriction in initiating apicobasal imbalance and lateral contraction in driving deep folding. (D) Effects of tissue size and bending stiffness. With the active region size held constant, the global tissue curvature decreases as the total cell number increases. For N=108, only the upper half of the tissue at KB=0.0001 is shown. For N=324, a portion of the tissue is shown at KB=0.0001, and only the region near the active region is shown at KB=1.

Figure 6.

Figure 6—figure supplement 1. Role of actomyosin redistribution during siphon invagination.

Figure 6—figure supplement 1.

(A–C) Effects of maintaining apical actomyosin during the accelerated invagination stage. Simulations with sustained apical actomyosin (A) show the corresponding evolution of central cell height and invagination depth (B), as well as tissue morphologies at representative time points (C). (D–F) Effects of elevated lateral actomyosin during the initial stage. Simulations with elevated lateral actomyosin (D) show the corresponding evolution of central cell height and invagination depth (E), as well as tissue morphologies at representative time points (F). The dashed lines in (A) and (D) represent the experimentally measured F-actin intensities at the apical and lateral regions of the central cells, respectively.

Furthermore, we varied the apico-lateral actomyosin intensities m=αmexp by introducing a scaling factor α to the experimental measured value mexp into the model, to simulate the unphosphorylated or diphosphorylated mutants with altered myosin activity (Figure 3). As expected, enhancement of both apical and lateral actomyosin activities increased the invagination depth while reducing the height of the center cell, and vice versa (Figure 6A, B). These trends are consistent with the experimental mutant data (Figure 3B). That being said, the simulated invagination depth remains smaller than that observed experimentally across all conditions, and the invagination speed (represented by slopes of the curves in Figure 5C) gradually slows down at later stages, in contrast to experiments. We attribute this discrepancy to the absence of growth-induced compressive stress in the model: as the invagination initiates, the furrow may act as a release site for accumulated internal stress, thereby accelerating its progression. This hypothesis requires validation through quantitative characterization of tissue size and stress distribution in the future. In addition, the final cell height in simulations is slightly larger than measured experimentally because the model does not account for the mechanical constraints imposed by the growth of internal supporting tissues. Despite these differences, the results demonstrate that actomyosin contractility controls the magnitude of active forces and thereby regulates the morphology of invagination.

Coupled mechanism of apicobasal tension imbalance and lateral contraction underlying epithelial invagination

To theoretically distinguish the effects of apical and lateral contraction on morphogenesis, we next performed simulations in which the two processes are considered independently. We considered active forces arising from either apical or lateral contraction alone, while maintaining the same actomyosin intensity profiles independently as in Figure 5B. We found that the apical contractility alone is sufficient to induce invagination, but produces a shallower invagination and taller cell shape in the absence of lateral actomyosin (Figure 6C). In contrast, without apical actomyosin, lateral contractility alone shortens the cells but cannot reproduce invagination. In a curved tissue with a surface bending modulus, such localized height reduction is more easily accommodated by bending outward. As a result, instead of driving invagination, lateral contraction biases the tissue toward outward deformation, leading to evagination (Figure 6C). These results suggest two mechanical mechanisms underlying the siphon invagination: an effective bending moment generated by apico-basal tension imbalance drives tissue symmetry breaking and determines the location and direction of buckling, whereas lateral actomyosin-driven contraction regulates cell shape and facilitates tissue invagination.

After separately identifying the mechanical roles of apical and lateral contractility, we further examined the mechanical consequence of actomyosin redistribution during morphogenesis. We modified the temporal actomyosin dynamics by maintaining apical activity during the accelerated stage or prematurely enhancing lateral activity during the initial stage. When apical actomyosin activity was maintained after 16 hpf instead of decreasing during the accelerated stage (Figure 6—figure supplement 1A), the early deformation process before 16 hpf remained unchanged. However, sustained apical tension induced stronger cell elongation, while the final invagination depth remained comparable to the control simulation (Figure 6—figure supplement 1B, C). In contrast, elevating lateral actomyosin activity during the initial stage (14–16 hpf) suppressed central cell elongation and the inward movement of surrounding cells toward the central cell, resulting in earlier bending deformation with a flatter invaginating morphology (Figure 6—figure supplement 1D–F). Although both perturbations eventually converged to similar final shapes, their distinct morphogenetic trajectories demonstrate the mechanical importance of the actomyosin redistribution sequence. The initial dominance of apical contractility, with limited lateral contraction, first promotes cell elongation and convergence of the active region, whereas the subsequent shift toward lateral contractility enables efficient cell shortening and deep tissue invagination.

Finally, we investigate the proposal local active mechanisms under varying tissue curvature and bending stiffness. In the initial configuration (N=50 cells), the active region spans approximately θ≈65∘. However, in developing tissues, the length scale of the whole tissue is much larger than that of the active region. To examine this, we fixed the size of the active region (seven cells) and constructed larger systems with N=108 (θ≈30∘) and N=324 (θ≈10∘), while keeping all other parameters unchanged. The resulting final tissue shapes are shown in Figure 6D. At low bending stiffness (KB=0.0001), pronounced local invagination emerges robustly across tissues with different curvature and system sizes, indicating that siphon invagination is governed by a highly localized active process that requires only apico-lateral contractions in a small group of cells. Notably, in the larger system with 324 cells, the puckering surrounding the invagination is significantly reduced because bending constraints are more prominent in highly curved tissues. As the tissue becomes flatter at later developmental stages, such puckering is therefore not expected to be observed experimentally. When the bending stiffness is increased (KB=1), local active contraction induces only cell shape changes and fails to drive invagination. This reflects a competition between local active contractile forces and the global mechanical resistance of tissue, suggesting that sufficiently strong active forces are required to overcome bending constraints and reshape tissue morphology. We note that the present model does not exclude the potential contribution of growth-induced compressive stresses, which may arise from tissue growth and augment the active mechanisms described above to accelerate invagination at later stages. This interplay will be further elucidated in future work.

Discussion

The morphogenesis of the Ciona atrial siphon provides a compelling model to dissect how biomechanical forces orchestrate tissue invagination. Our study revealed that actomyosin contractility underwent a dynamic spatial redistribution during this process, initially redistributing from the lateral cortex to the apical region to promote apical constriction and establish the initial cell shape, and subsequently redistributing back to the lateral regions to promote center cell shortening and accelerate the tissue invagination. By combining actomyosin localization analysis, genetic perturbations, optogenetic manipulation, and vertex model, we established a mechanistic framework linking force dynamics to tissue remodeling. This work not only advances our understanding of siphon morphogenesis but also offers broader insights into the principles governing force-driven tissue shaping in developing organisms.

Sequential activation of actomyosin contractility has been documented in several epithelial folding systems, yet our study reveals distinct features. In ascidian endoderm invagination, actomyosin shifts from apical to basolateral regions (Sherrard et al., 2010), whereas our system exhibits bidirectional redistribution between apical and lateral domains, with the basal domain playing a passive role. More notably, during Drosophila ventral furrow invagination, lateral contractility is not essential for the second folding phase (Guo et al., 2022); in contrast, our optogenetic inhibition demonstrates that lateral contractility is obligatory for the accelerated stage. These comparisons establish bidirectional actomyosin redistribution as a distinct mechanical paradigm for sequential morphogenesis.

Our findings demonstrated that the atrial siphon invagination was driven by a coupled mechanism including apicobasal tension imbalance and lateral contraction in a two-stage process. During the initial stage (13.5–16.0 hpf), actomyosin redistributed from the lateral cortex to the apical cortex, generated contractile forces that induced apicobasal tension imbalance and reduced apical cell area and elongated the primordium. A transient actomyosin ring surrounding the primordium is prominent at the early initial stage and may cooperate with apical constriction, but it diminishes during the accelerated stage, indicating that sustained compression is not required. This aligns with classical models of epithelial folding, where apical actomyosin networks drive tissue curvature through localized contraction, often accompanied by an increase in cell height, as observed in the invagination of the Drosophila embryonic trachea (Schottenfeld et al., 2010) and salivary gland placode (Pearl et al., 2017). Future experiments using laser ablation or optogenetic inhibition specifically targeting this actomyosin ring could help dissect its precise contribution during the early invagination stage. Additionally, in traditional invagination models, various epithelial tissues use different mechanisms to drive deeper invagination. For example, in Drosophila tracheal development, mitosis acts as a critical turning point in accelerating invagination (Kondo and Hayashi, 2013). During the early slow phase of tracheal invagination, apical constriction under EGFR signaling forms a shallow pit. As invagination transitions into a rapid phase, mitotic entry induces cell rounding, which increases tension and epithelial buckling, thereby accelerating the invagination process and facilitating the internalization of placode cells (Kondo and Hayashi, 2013; Nishimura et al., 2007). Moreover, cell apoptosis can also expedite the invagination process, as seen in Drosophila leg morphogenesis, where actomyosin cables formed in apoptotic cells help trigger the invagination (Kiehart, 2015; Manjón et al., 2007; Monier et al., 2015). In Drosophila VFF, in-plane compressive stresses generated by surrounding tissues significantly facilitate the deep fold (Guo et al., 2022). Distinct from these classical models, the accelerated invagination stage of Ciona atrial siphon morphogenesis was driven by a critical redistribution of apical actomyosin to the lateral regions, providing a force-generating mechanism for invagination progression without relying on cell proliferation or apoptosis to accelerate the process. The lateral enrichment of p-MLC correlated with a reduction in center cell height and the initiation of invagination, suggesting that lateral forces actively pulled the tissue inward. This spatial redistribution of contractile forces in Ciona atrial siphon invagination is reminiscent of mechanisms observed in certain epithelial folding processes, such as the Drosophila wing disc, where invagination is not solely driven by apical constriction but can also result from increased lateral tension or reduced basal tension (Sui et al., 2018). Our optogenetic inhibition of myosin activity during the apical-to-lateral redistribution—using the MLCP-BcLOV4 system—directly confirmed that this redistribution was not merely a passive consequence of invagination but was an active driver of the process.

Our study revealed a strong coupling between cellular shape changes and tissue remodeling during Ciona atrial siphon invagination, where the reduction in center cell height was closely associated with invagination depth. Tissue morphogenesis emerges from the integrated actions of multiple cellular behaviors, such as contraction, adhesion, and migration, that work in concert to remodel epithelial architecture (Chan et al., 2017). The transmission of local cell-generated forces across tissues is further shaped by mechanical cues and geometric constraints, enabling the transformation of cellular-scale changes into organ-scale morphogenesis (Collinet and Lecuit, 2021). By perturbing myosin activity, we found that this coupling was directly regulated: dominant-negative myosin mutants delayed both processes, whereas hyperactive myosin accelerated invagination. The quantitative agreement between vertex model analysis and experimental measurements validated the critical role of actomyosin contractility dynamics in linking cellular shape changes to tissue remodeling. Furthermore, the model also uncoupled the effects of the actomyosin in different domains and predicted that stronger apical–lateral redistribution facilitates the rapid reduction in height of invaginating cells. The Ciona atrial siphon, which underwent invagination without cell proliferation or apoptosis, provided a minimal system for investigating the role of biomechanical forces in tissue remodeling. Our findings emphasized that the deformation of a few key cells under spatially precise mechanical regulation, along with their coordination with surrounding tissues, is crucial for proper morphogenesis.

While this study clarified the role of actomyosin redistribution in atrial siphon invagination, several open questions remain regarding the molecular mechanisms underlying this process. One key question is what molecular signals drive the apical-to-lateral redistribution of contractility. Possible candidates include Rho GTPase pathways (Martin et al., 2016), which regulate myosin activation; apical–basal polarity (Peng et al., 2020), which coordinates actin reorganization during morphogenesis; and mechanosensitive ion channels that respond to tissue strain (Jin et al., 2020). Additionally, the role of cell–cell adhesion and extracellular matrix remodeling in mediating force transmission during invagination requires further investigation. Using tension sensors or perturbing adhesion molecules may provide new insights into these interactions. In addition, our experimental system involves significant global tissue remodeling: as development proceeds, the number of cells increases and the tissue expands substantially, accompanied by classic growth-induced compressive stress (Guo et al., 2022). Although we did not directly measure such stress in the siphon primordium, we observed a progressive flattening of the overall tissue geometry, which likely facilitates invagination and lumen formation. While our experiments and vertex model confirm that active tension alone is sufficient to drive invagination, tissue growth and the associated mechanical constraints may play critical roles in achieving the final tubular architecture. Future studies should integrate tissue growth and mechanosensitive feedback into theoretical models and experimentally quantify how growth-induced stresses cooperate with local actomyosin redistribution to robustly shape the atrial siphon. Although our vertex model effectively clarified the contribution of force redistribution to invagination, it does not account for tissue growth or the potential for mechanosensitive feedback on the generation and redistribution of actomyosin. Future theoretical developments should focus on integrating tissue growth and mechanochemical feedback linking molecular signaling with tissue-level deformation to explain robust morphogenesis.

Materials and methods

Key resources table.

Reagent type (species) or resource Designation Source or reference Identifiers Additional information
Strain, strain background (Ciona) Wild-type Ciona adults Collected from Shandong, China
Antibody Phospho-Myosin Light Chain 2 (Ser19) Antibody Cell Signaling Cat#3671; RRID:AB_330248 IF(1:250)
Antibody Alexa Fluor 647 anti-Rabbit IgG Invitrogen Cat#A-31573; RRID:AB_2536183 IF(1:200)
Antibody Alexa Fluor 568 anti-Rabbit IgG Invitrogen Cat#A-11011; RRID:AB_143157 IF(1:200)
Recombinant DNA reagent Epi1>MRLC::mCherry (plasmid) This paper pEGFP-C1-based plasmid;
see Materials and methods.
Recombinant DNA reagent Epi1>MRLC(T18AS19A)::mCherry (plasmid) This paper pEGFP-C1-based plasmid;
see Materials and methods.
Recombinant DNA reagent Epi1>MRLC(T18ES19E)::mCherry (plasmid) This paper pEGFP-C1-based plasmid;
see Materials and methods.
Recombinant DNA reagent Epi1>PP1c::MYPT169::BcLOV4::mCherry::NES (plasmid) This paper pEGFP-C1-based plasmid;
see Materials and methods.
Recombinant DNA reagent Epi1>PP1c::MYPT169::mCherry::NES (plasmid) This paper pEGFP-C1-based plasmid;
see Materials and methods.
Chemical compound, drug Alexa Fluor 488 Phalloidin Thermo Fisher Scientific Cat#A12379
Chemical compound, drug Protease E Sigma-Aldrich Cat#P5147
Chemical compound, drug Sodium thioglycolate Sigma-Aldrich Cat#T0632
Chemical compound, drug D-mannitol Sigma-Aldrich Cat#M4125
Chemical compound, drug MS-222 Sigma-Aldrich Cat#E10521
Chemical compound, drug VECTASHIELD with DAPI Sigma-Aldrich Cat#H1200
Commercial assay, kit EdU Cell Proliferation Kit with AF555 Beyotime Cat#C0075S
Commercial assay, kit Phanta Max Super-Fidelity DNA Polymerase Vazyme Cat#P505
Commercial assay, kit TUNEL BrightRed Apoptosis Detection Kit Vazyme Cat#A113
Commercial assay, kit ClonExpress MultiS One Step Cloning Kit Vazyme Cat#C113
Sequence-based reagent MRLC_F This paper PCR primers ATGTCGAGCCGACGAACTAAA
Sequence-based reagent MRLC_R This paper PCR primers CTAAATGTCATCTTTTTCTTTAGCG
Sequence-based reagent MRLC(T18AS19A)_F This paper PCR primers TGCAGCCGCCAATGTCTTTGCTATGTTCGATCAAGC
Sequence-based reagent MRLC(T18AS19A)_R This paper PCR primers GACATTGGCGGCTGCACGCTGGGCGCG
Sequence-based reagent MRLC(T18ES19E)_F This paper PCR primers TGCAGAAGAAAATGTCTTTGCTATGTTCGATCAAGCT
Sequence-based reagent MRLC(T18ES19E)_R This paper PCR primers AGACATTTTCTTCTGCACGCTGGGCGCG
Sequence-based reagent BcLOV4_F This paper PCR primers ATGGCCACAGACGCAATCG
Sequence-based reagent BcLOV4_R This paper PCR primers GATTATGATCTAGAGTC
Sequence-based reagent PP1c_F This paper PCR primers ATGGCGGACGGGGAGC
Sequence-based reagent PP1c_R This paper PCR primers CCTTTTCTTCGGCGGA
Sequence-based reagent MYPT169_F This paper PCR primers ATGAAGATGGCGGACGCG
Sequence-based reagent MYPT169_R This paper PCR primers AGCTGCTTCTATATCAACCCCTTG
Software, algorithm ImageJ NIH Image RRID:SCR_003070 Version 1.54p
Software, algorithm GraphPad Prism GraphPad Software RRID:SCR_002798 Version 10.1.2
Software, algorithm Imaris Oxford Instruments RRID:SCR_007370 Version 9.0.1
Software, algorithm MATLAB MathWorks RRID:SCR_001622 R2021a

Experimental animals’ preparation and electroporation

Ciona adults were collected from the coast of Qingdao and Rongcheng, Shandong, China. They were maintained in the laboratory seawater circulation system under constant light conditions to maintain their stability. Mature eggs and sperm were separately collected from the dissected adults and subsequently mixed for fertilization. The fertilized eggs were dechorionated in seawater containing 1% sodium thioglycolate (T0632; Sigma), 0.05% protease E (P5147; Sigma), and 0.032 M NaOH. The dechorionated eggs were then used for plasmid electroporation based on the previous technique procedure (Christiaen et al., 2009). Finally, the embryos were cultured in an agar-coated dish with microporous-filtered seawater in 18°C for further observation.

Plasmid construction

Ciona myosin II light chain (MRLC) was amplified with primers MRLC-F and MRLC-R (Key resources table). MRLC-mCherry (Dong et al., 2011); MRLC(T18AS19A)-mCherry and MRLC(T18ES19E)-mCherry (Denker et al., 2015); MLCP-BcLOV4 and MLCP (Qiao et al., 2023) were amplified with the primers listed in Key Resources Table. For embryos expressing MRLC constructs, only those in which the center cell and more than half of the surrounding cells in the primordium showed clear mCherry fluorescence were selected for quantification.

Immunofluorescence

Ciona embryos were fixed with stationary liquid (Sherrard et al., 2010), which consisted of 100 mM HEPES (pH 6.9); 100 mM EGTA (pH 7.0); 10 mM MgSO4; 2% formaldehyde; 0.1% glutaraldehyde; 300 mM dextrose; and 0.2% Triton X-100 for 40 m at room temperature. Following fixation, the embryos were washed three times with PBS and subsequently incubated in PBST (PBS supplemented with 0.1% Triton X-100) for 30 m to enhance permeability. To reduce autofluorescence, embryos were treated with 0.1% sodium borohydride in PBS for 20 m at room temperature. For immunostaining, embryos were incubated with a 1:250 dilution of Phospho-Myosin Light Chain 2 (Ser19) antibody (#3671: Cell Signaling) at room temperature for 24 hr. After three additional washes with PBS, a 1:200 dilution of Alexa Fluor 568 anti-Rabbit IgG (A11011: Invitrogen) or Alexa Fluor 647 anti-Rabbit IgG (A31573: Invitrogen) was added and incubated at room temperature for 48 hr. For cell boundary visualization, embryos were stained with Alexa Fluor 488 Phalloidin (A12379: Invitrogen) at a 1:200 dilution. Finally, after three washes with PBS, embryos were mounted in DAPI-containing mounting medium and prepared for imaging.

Imaging and optogenetics

Live imaging, photoactivation experiments, and image acquisition were performed using a Zeiss LSM 980 confocal microscope (Carl Zeiss). For optogenetic experiments, Ciona embryos were placed in a 35-mm glass-bottom dish for imaging. To activate the optogenetic system, the designated region of interest was exposed to a 488 nm laser for 1 hr. The control group for dark treatment was placed in a dark box at the same temperature for 1 hr.

Quantification and statistical analysis

All images were analyzed and quantified using ImageJ (version 1.54p, NIH) and Imaris (version 9.0.1, Bitplane). For intensity measurements of active myosin (p-MLC) and F-actin, the apical domain was defined as a segmented line (width 1 μm) drawn along the apical cell–cell junctions of the center cell; the lateral domain was defined as a line along the lateral membranes excluding the apical and basal regions; the basal domain was defined as a line along the basal surface. Fluorescence intensities were normalized to the basal intensity of the same center cell (set to 1). Statistical analyses were performed using GraphPad Prism 10.1.2. Data are presented as mean ± SEM. Comparisons between two groups were analyzed by two-tailed Student’s t-test. Significance levels are indicated as *p < 0.05, **p < 0.01, ***p < 0.001, ****p < 0.0001; ns indicates not significant. Sample sizes (n) for each experiment are indicated in the corresponding figure legends.

Vertex model simulations

Model description

The 2D cross-section of the Ciona embryo head along the transverse plane of its anterior–posterior axis is represented by polygonal cells connected in a circle, surrounding the inner supporting tissue (Figure 5A). Each polygon is defined by a set of vertices and edges. Vertices on the apical surface of cells are subject to free boundary conditions, which differ from the previous models (Conte et al., 2012; Polyakov et al., 2014). We define the invagination domain as a local active region occupying an initial θ-degree arc of the entire circular tissue. To maintain structural integrity while focusing on epithelial mechanics, the internal cells are simplified as volume-incompressible bulk, providing mechanical support during the invagination process. Cell deformation and tissue morphology are simulated through vertex dynamics, governed by an effective energy functional

U=KA∑J(AJ−A0)2+KC∑JPJ2+KB∑i(cos⁡θi−1)2+∑J[kma(mJa−m0)ℓa2+kml2(mJl−m0)ℓl2]+KAt(At−A0t)2. (1)

where the five terms result from, respectively, cell area control, cell passive cortex contractility, tissue surface bending energy, active line tensions on apical and lateral surfaces, as well as tissue area constraint. KA is the cell area modulus, and AJ and A0 are the current and preferred areas of the cell J, respectively. KAt is the tissue area modulus, and At and A0t are the current and preferred areas of the supporting tissue. KC denotes the passive cortical contraction coefficient of cells and PJ represents the cell perimeter. KB denotes the bending stiffness of the cell monolayer, representing its resistance to curvature changes. Physically, this stiffness arises from the recruitment of F-actin and other cytoskeletal elements at the tissue surface, serving as a critical mechanical constraint that ensures structural stability under free boundary conditions. θi is the angle between the neighboring apical or basal edges of vertex i (Figure 5A). kma and kml are the tension coefficients of actomyosin (ma and ml) recruited to the apical and lateral surfaces whose lengths are ℓa and ℓl, respectively. Experimental measurements of F-actin intensity on apical and lateral surfaces were normalized to the basal surface (Figure 1—figure supplement 1A). Consequently, we set the basal actomyosin intensity to mJb=m0, serving as a non-contractile baseline. The active line tension on the apical or lateral domains is then formulated as kma,l(mJa,l−m0), representing the force generated by actomyosin enrichment above this basal baseline. Notably, since each lateral edge is shared by two neighboring cells, the coefficient kml is halved in the force calculation for each individual cell. ∑J stands for the summation over all cells and ∑i runs over all apical and basal vertices.

Based on experimental measurements, the F-actin signal intensity is highest in the central cell and rapidly attenuates in the neighboring cells. To capture this spatiotemporal evolution within the active region, the actomyosin intensity is prescribed by a Gaussian distribution centered at the center cell (J=0). The intensity for any cell J is defined as

mJ=(mJ=0−m0)⋅e−|J|22σ2+m0, (2)

where mJ=0 is the experimental value measured from the central cell (as shown in Figure 5B), and J denotes the cell index extending from the center. The parameter σ controls the width of the active zone. In accordance with experimental observations, we set σ=1.8. This distribution effectively spans from J=−3 to +3, encompassing approximately seven active cells, while the actomyosin activity is set to m0 for cells outside this region (|J|>3).

Simulation scheme

In the simulations, we set the cell number N=50 and a free boundary condition. The central seven cells (index −3 to +3) are considered as active cells under contractile forces whose actomyosin intensity varies in different stages. The other cells are observed to be inactive whose actomyosin intensities are always equal to m0. In our simulations, tissue morphogenesis is represented by vertex motion and cell deformation. The motion of vertex i obeys the Langevin equation

ηdridt=−∂U∂ri, (3)

where η denotes the friction coefficient. The equation was numerically solved using the forward Euler method with a time step of 0.001, using MATLAB R2021a. Simulations are run until t=500, which corresponds to 18 hpf in experimental development, given a characteristic time scale of τ=36 s. The final tissue shape is obtained after the system has relaxed to a steady-state configuration. The length scale L = 8.91μm is determined by the normalization of initial cell height h0 in the model under real center cell height. The other parameters are all normalized with the time scale τ, length scale L, and friction coefficient η. Dimensionless parameters are set as follows: KA=1, KAt=0.001, KC=0.001, KB=0.0001, kma=0.016, kml=0.12, A0=1, h0=1.25, and A0t=π(R0−h0)2, where R0=NA0(2πh0) is the radius of initial tissue configuration. These parameter values are determined by numerical simulations under which the simulated invagination depth and center cell height imitate the experimental observations.

Resource availability

Lead contact

Requests for further resources should be directed to, and will be fulfilled by, the lead contact, Bo Dong (bodong@ouc.edu.cn).

Materials availability

All unique/stable reagents generated in this study are available from the lead contact with a completed materials transfer agreement.

Acknowledgements

We are grateful to all members of the Fang Zongxi Center for helpful discussions. This work was supported by the Science & Technology Innovation Project of Laoshan Laboratory (No. LSKJ202203204), the National Natural Science Foundation of China (No. 32500441, and T2550032), and the Taishan Scholar Program of Shandong Province, China (BD).

Funding Statement

The funders had no role in study design, data collection, and interpretation, or the decision to submit the work for publication.

Contributor Information

Bo Li, Email: libome@tsinghua.edu.cn.

Bo Dong, Email: bodong@ouc.edu.cn.

Deborah Yelon, University of California, San Diego, United States.

Didier YR Stainier, Max Planck Institute for Heart and Lung Research, Germany.

Funding Information

This paper was supported by the following grants:

  • The Science & Technology Innovation Project of Laoshan Laboratory LSKJ202203204 to Bo Dong.

  • National Natural Science Foundation of China 32500441 to Hongzhe Peng.

  • National Natural Science Foundation of China T2550032 to Bo Li.

  • Taishan Scholar Program of Shandong Province to Bo Dong.

Additional information

Competing interests

No competing interests declared.

Author contributions

Data curation, Software, Formal analysis, Validation, Investigation, Visualization, Writing – original draft.

Data curation, Software, Formal analysis, Validation, Investigation, Methodology, Writing – original draft.

Data curation, Formal analysis, Investigation.

Data curation, Formal analysis, Validation, Investigation.

Conceptualization, Formal analysis, Supervision, Project administration, Writing – review and editing.

Conceptualization, Resources, Formal analysis, Supervision, Funding acquisition, Investigation, Project administration, Writing – review and editing.

Ethics

The study was approved by the Ocean University of China Institutional Animal Care and Use Committee (OUC-IACUC) prior to initiation of the study ('20200082-0105', September 21, 2020). All experiments and relevant methods were carried out in accordance with the approved guidelines and regulations of OUC-IACUC.

Additional files

MDAR checklist
Source data 1. Vertex model simulation data for actomyosin-driven invagination in Figures 5 and 6.
elife-108588-data1.xlsx (36.9MB, xlsx)

Data availability

All data supporting the findings of this study are available within the paper and its supplementary files. Source data for all quantitative figures are provided as Source data files in the supplementary materials. Model code is available at GitHub (https://github.com/F1shzi/SiphonInvagination_VertexModel, copy archived at Yu, 2026).

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eLife Assessment

Deborah Yelon 1

This important study uses a combination of experimental and modeling approaches to investigate the role of actomyosin in epithelial invagination during Ciona siphon tube morphogenesis. Several types of convincing quantitative analyses and modeling approaches are presented that support a model in which bidirectional relocation of actomyosin drives invagination. Since epithelial invagination contributes to the morphogenesis of many developing organs, this work has the potential to appeal to both cell biologists and developmental biologists.

Reviewer #2 (Public review):

Anonymous

Summary:

The authors propose that bidirectional redistribution of actomyosin drives tissue invagination in Ciona siphon tube formation. They suggest a two-stage model where actomyosin first accumulates apically to drive a slow initial invagination, followed by redistribution to lateral domains to accelerate the invagination process through cell shortening. They have shown that actomyosin activity is important for invagination - modulation of myosin activity through expression of myosin mutants altered the timing and speed of invagination; furthermore, optogenetic inhibition of myosin during the transition of the slow and fast stages disrupted invagination. The authors further developed a vertex model to validate the relationship between contractile force distribution and epithelial invagination.

Strengths:

(1) The authors employed various techniques to address the research question, including optogenetics, use of MRLC mutants, and vertex modelling.

(2) The authors provide quantitative analyses for a substantial portion of their imaging data, including cell and tissue geometry parameters as well as actin and myosin distributions. The sample sizes used in these analyses appear appropriate.

(3) The authors combined experimental measurements with computer modeling to test the proposed mechanical models, which represents a strength of the study. It provides a framework to explore the mechanical principles underlying the observed morphogenesis.

Comments on revised version.

The authors have adequately addressed my previous concerns regarding the optogenetic experiments, and the addition of the new modeling analysis further strengthens the study.

eLife. 2026 Oct 1;14:RP108588. doi: 10.7554/eLife.108588.4.sa2

Author response

Jinghan Qiao 1, Pengyu Yu 2, Hongzhe Peng 3, Wenjie Shi 4, Bo Li 5, Bo Dong 6

The following is the authors’ response to the previous reviews.

Public Reviews:

Reviewer #1 (Public review):

This is an extensively revised version of a previously submitted manuscript that, as detailed in their 20-page response to the first reviews, satisfactorily addresses the reviewers' comments. In particular, the revised manuscript makes it much clearer how this work fits into and advances the field. The added experiments strengthen the rigor of the manuscript as well. Overall, this paper is ready to go.

We thank the reviewer for the positive evaluation and for recognizing the improvements made in our revised manuscript.

Reviewer #2 (Public review):

The revised manuscript has been substantially improved. The authors have addressed many of my previous concerns through the addition of new data, analyses, and discussion. The characterization of epithelial folding in the ascidian Ciona provides valuable insight into a comparatively less explored morphogenetic system, and the imaging and quantitative analyses are overall compelling. That said, a few important points remain to be addressed.

We thank the reviewer for the positive assessment and for acknowledging the improvements made in our revised manuscript. We are also grateful for the reviewer’s continued constructive suggestions.

One remaining issue concerns the mechanistic novelty of the actomyosin redistribution described in this study. The authors emphasize that the key novelty lies in the stepwise translocation of actomyosin from the lateral membrane to the apical domain during the initial stage (apical constriction), followed by redistribution from the apical domain back to the lateral domain during the accelerated stage (invagination). I agree that the dynamic redistribution itself is potentially interesting and may represent an underexplored aspect of epithelial morphogenesis. However, as I discussed in my previous review comments, from a mechanics perspective, the role of apical actomyosin in driving apical constriction and of lateral actomyosin in contributing to tissue folding/invagination have already been demonstrated in multiple systems, although to varying extents depending on the model. Therefore, while the current study convincingly documents a distinct spatiotemporal sequence of actomyosin localization in Ciona atrial siphon tube formation, it could be clarified further to what extent this work advances new mechanical principles underlying epithelial folding, as opposed to revealing a variation in the deployment of previously described force-generating modules.

Importantly, I think the manuscript has the potential to provide deeper conceptual insight if the authors more explicitly consider the significance of the "redistribution" process itself. Redistribution does not only involve the appearance of actomyosin at a new membrane domain; it also necessarily involves its disappearance from the previous domain. The latter aspect has, in my view, been much less explored in the literature. For example: Is the removal of lateral actomyosin during the early phase important for efficient apical constriction? Conversely, is the reduction of apical actomyosin during the later accelerated phase important for proper invagination mechanics? These questions are particularly interesting because they address whether redistribution between domains serves an active mechanical regulatory role, rather than focusing on the role of force-generating actomyosin at a given location.

I acknowledge that addressing these questions experimentally could be technically challenging. One potentially powerful way to address this would be through the revised computational model. For example, the authors could test whether tissue folding is altered when actomyosin is allowed to accumulate at a new domain without being concomitantly depleted from the original domain. Such analyses could help distinguish whether redistribution itself has functional mechanical importance, rather than merely reflecting sequential recruitment to different cellular regions. In my opinion, incorporating this aspect would substantially strengthen the conceptual and mechanistic novelty of the study.

We thank the reviewer for raising this important point. We agree that the mechanical significance of actomyosin redistribution, beyond the individual roles of apical and lateral contractility, deserves further clarification. In our study, quantitative analysis of F-actin dynamics revealed a bidirectional reorganization of the actomyosin network during siphon morphogenesis: the increase of F-actin intensity in one domain was accompanied by its reduction in the other domains during both the initial and accelerated invagination stages. These observations suggest that actomyosin redistribution may represent an active mechanical regulatory process rather than merely sequential recruitment to different cellular domains. Following the reviewer’s suggestion, we used the computational model developed in this study to examine its functional significance.

Specifically, we modified the temporal dynamics of actomyosin activity by maintaining apical contractility during the accelerated stage or by prematurely enhancing lateral contractility during the initial stage in simulations. We found that sustained apical tension during the accelerated stage primarily induced stronger central cell elongation (Figure 6—figure supplement 1A-C), whereas elevating lateral actomyosin activity during the initial stage (14–16 hpf) suppressed central cell elongation and reduced the inward movement of surrounding cells toward the central region (Fig. 6—figure supplement 1D-F), resulting in earlier bending deformation with a flatter invaginating morphology (Fig. 6—figure supplement 1F). Although both perturbations eventually converged to similar final shapes, likely because they reached similar final actomyosin distributions, their distinct morphogenetic trajectories demonstrate the mechanical importance of the temporal sequence of actomyosin redistribution. These results further clarify the significance of the previously identified apico-basal tension imbalance and lateral contraction by revealing how their sequential activation coordinates tissue deformation. The initial dominance of apical contractility, together with limited lateral contraction, promotes cell elongation and convergence of the active region, whereas the subsequent shift toward lateral contractility facilitates cell shortening and deep tissue invagination.

Thus, our results highlight that the bidirectional redistribution of actomyosin is not merely a consequence of morphogenesis, but contributes to the dynamic regulation of epithelial folding. We have incorporated these new simulation results and analyses into the revised manuscript as Figure 6—figure supplement 1.

My other concern relates to the new optogenetic data presented in Figure 4-figure supplement 2. In the "Dark" samples, active myosin does not appear to be clearly enriched along the membrane, but instead seems relatively diffuse within the cytoplasm. This appears distinct from the images shown in Figure 2, where active myosin exhibits clear membrane enrichment. Could the authors provide top-view images for the samples shown in Figure 4-figure supplement 2? This would help clarify whether active myosin is indeed enriched along the apical membrane at 16 hpf and along the lateral membrane at 17 hpf in the "Dark" condition.

We thank the reviewer for this careful observation. We agree that the p-MLC signal in the "Dark" samples of the original Figure 4—figure supplement 2 appeared less membrane-enriched than in Figure 2. This was due to a technical adjustment: because the optogenetic system occupied the 568 nm channel, we have to switch the p-MLC signal from Alexa Fluor 568 anti-rabbit IgG to Alexa Fluor 647 anti-rabbit IgG, which yielded relatively weaker membrane signal under our imaging conditions. To address this, we have replaced the cross-sectional images with better-representative examples and added top-view images (Figure 4—figure supplement 2). These new panels clearly showed that active myosin was enriched at apical junctions (16 hpf) and lateral membranes (17 hpf) in the Dark condition, consistent with that in Figure 2. Since the Dark and Light groups were processed identically, the relative comparison remains valid.

In addition, the tissue morphology in the "17 hpf Light 1 hr" panel of Figure 4-figure supplement 2 appears noticeably different from that shown in Figure 4. Specifically, the apical side of the tissue in Figure 4 appears substantially more relaxed than in Figure 4-figure supplement 2. Based on the authors' interpretation of the optogenetic experiments, apical active myosin is not strongly affected by the treatment described in Figure 4. If so, one would expect apical constriction to remain largely intact. However, the more relaxed apical domain shown in Figure 4 seems to suggest that apical constriction may in fact be perturbed by the optogenetic manipulation. This apparent discrepancy complicates the interpretation of the experiment and seems somewhat inconsistent with the authors' main conclusion from this figure.

We thank the reviewer for this very careful and insightful observation. We agree that the tissue morphology in the "17 hpf Light 1 hr" panel of Figure 4—figure supplement 2 appears less relaxed than that in Figure 4B.

We acknowledge that optogenetic inhibition of myosin activity might indeed have a partial effect on activity of apical myosin, which can lead to apical relaxation after the initial constriction, as shown in the representative embryo in Figure 4B. However, because Ciona embryos are not always perfectly synchronized at 16 hpf (the time point when light illumination was initiated), individual embryos exhibit slight variations in the extent of apical constriction that has already been achieved during the initial stage (13.5–16.0 hpf). For embryos that had completed a relatively stronger apical constriction by 16 hpf, the apical domain can maintain its constricted morphology even after light exposure (Figure 4—figure supplement 2). Embryos with relatively weaker apical constriction at the time of light onset are more prone to exhibit apical relaxation upon optogenetic manipulation, as illustrated in Figure 4B. This developmental heterogeneity is the primary reason for the morphological variability observed between individual embryos in the optogenetic groups. Importantly, despite this morphological variability, the quantitative comparison of apical p-MLC intensity between the Light and Dark groups in Figure 4—figure supplement 2B showed no statistically significant difference (t-test, ns), which is consistent with the fact that during normal development, apical myosin activity naturally declines after 16 hpf (Figure 2B). In contrast, lateral p-MLC intensity was significantly reduced in the Light group compared to the Dark control (Figure 4—figure supplement 2B). This reduction in lateral contractility is the key factor responsible for the blockade of invagination progression.

We have revised the statements accordingly. Hopefully, these clarifications have adequately addressed the reviewer's concern.

Reviewer #3 (Public review):

Concerns raised in the initial submission were addressed in the revised manuscript.

We thank the reviewer for the encouraging feedback and for acknowledging our revisions.

Recommendations for the authors:

Reviewer #1 (Recommendations for the authors):

No further revisions suggested.

We thank the reviewer again for the positive assessment.

Reviewer #2 (Recommendations for the authors):

Here are several additional comments and suggestions in addition to the concerns described in the public review.

Line 86 - 88: the authors state "However, this transition is from apical to basolateral (Sherrard et al., 2010), rather than a bidirectional redistribution between apical and lateral domains." This statement feels somewhat out of context because the concept of "bidirectional redistribution" has not yet been introduced. It may fit more naturally in the Discussion section, after the relevant observations and interpretations have been fully presented.

We thank the reviewer for this suggestion. We have revised the sentence in the Introduction to avoid introducing the concept of "bidirectional redistribution" prematurely.

Line 92 - 95: the authors raised the questions of "Whether a bidirectional redistribution of actomyosin between apical and lateral domains operates as a core mechanism for sequential invagination, and whether lateral contractility is essential for the accelerated phase, remain unclear." These questions also feel somewhat out of context, for the same reason mentioned above.

We thank the reviewer for this suggestion. We have revised the text to avoid prematurely introducing the concept of "bidirectional redistribution" in the Introduction.

Line 162 - 163: The authors state that "This redistribution pattern was consistent with that of F-actin in the corresponding phases." This conclusion should be revised, as the reported increase in apical F-actin and reduction in lateral F-actin during the initial stage do not appear to reach statistical significance, which is different from that of active myosin.

We thank the reviewer for this careful observation. We agree that the F-actin changes during the initial stage did not reach statistical significance, unlike the active myosin data. We have revised the sentence to state that the myosin redistribution showed a similar trend to F-actin, while acknowledging the lack of statistical significance for F-actin.

Line 349 - 350: "and the invagination speed (represented by slopes of curves in Figure 5A) gradually slows down at later stages." It seems that Figure 5A should be Figure 5B.

Thank you for pointing out this typo. We have corrected it in the revised manuscript (now Figure 5C).

Reviewer #3 (Recommendations for the authors):

We appreciate the efforts made by the authors to address the questions and comments raised in the initial submission. The only remaining concerns are regarding grammar and spelling and a couple of minor errors.

(1) Lines 346-347, "These trends are consistent with the experimental mutant data (Figure 5A, B)."

This was confusing - was this meant to be Figure 3A, B?

We sincerely apologize for this confusion. We have corrected it in the revised manuscript (now Figure 3B).

(2) Lines 349-350, "... the invagination speed (represented by the slopes of curves in Figure 5A) gradually slows down at later stages..."

Similar to above, was this meant to be Figure 5C?

Thank you for pointing out this typo. We have corrected it in the revised manuscript (now Figure 5C).

(3) There is a typo in Line 336 ("dimmish") and some minor grammatical concerns in the introduction.

We have corrected the typo "dimmish" to "diminish". We have also carefully proofread the entire manuscript and fixed any remaining grammatical issues.

Associated Data

    This section collects any data citations, data availability statements, or supplementary materials included in this article.

    Supplementary Materials

    Figure 1—source data 1. Quantification of tissue geometry and F-actin intensity during Ciona atrial siphon invagination.
    Figure 2—source data 1. Quantification of active myosin II and F-actin fluorescence intensity at apical and lateral domains during atrial siphon invagination.
    Figure 3—source data 1. Invagination depth and center cell height in MRLC mutant and control embryos.
    Figure 4—source data 1. Quantification of invagination depth, center cell height, and normalized active myosin II intensity in optogenetic experiments.
    MDAR checklist
    Source data 1. Vertex model simulation data for actomyosin-driven invagination in Figures 5 and 6.
    elife-108588-data1.xlsx (36.9MB, xlsx)

    Data Availability Statement

    All data supporting the findings of this study are available within the paper and its supplementary files. Source data for all quantitative figures are provided as Source data files in the supplementary materials. Model code is available at GitHub (https://github.com/F1shzi/SiphonInvagination_VertexModel, copy archived at Yu, 2026).


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