Skip to main content
Molecular Biology of the Cell logoLink to Molecular Biology of the Cell
. 2025 Aug 12;36(9):ar110. doi: 10.1091/mbc.E24-12-0585

Did axons evolve by activating cytokinesis during interphase? A hypothesis on the origin of neurons

Kyle E Miller a,*, Francesca Oprea a, Sajid Alam a, Ania Grodsky a, Erin M Craig b
Editor: Masayuki Onishi
PMCID: PMC12415613  PMID: 40737258

Abstract

Although synaptic evolution has been extensively studied, how axons first arose remains unexplored. Because evolution often occurs by coopting existing features, we review the evolutionary histories, biophysics, and cell biology of cytokinesis, cell crawling, and ciliogenesis to explore the origin of axons. Although we found that cilia and axons are outwardly similar, and growth cones strongly resemble the leading edge of crawling cells, the biophysical processes and the critical proteins that drive each seem weakly linked to axons as a structure. In contrast, the traction force machinery that pulls daughter cells apart during cytokinesis and the cytoskeletal organization of cytokinetic bridges appear to have a one-to-one correspondence to neuronal growth cones and axons. Based on these observations, we propose the hypothesis that axons evolved due to mutations that partially activated cytokinesis in an interphase cell. To rigorously test this hypothesis, we suggest conducting systematic phylogenetic analysis of the genes essential for each process, paired with molecular genetic studies in which critical genes are systematically disrupted. Doing so will provide a framework for understanding the relationship between diverse cellular processes, the early evolution of neurons, and insights that could potentially assist in treating cancer and promoting neuronal regeneration.


  • This work opens new avenues for discussion of the evolutionary relationships between cytokinesis, ciliogenesis, amoeboid migration, mesenchymal migration, neuronal migration, dendritic elongation, and axonal elongation.

  • Pursuing the question of how axons evolved may help answer whether neurons in all metazoans share a single origin or arose independently as the result of convergent evolution.

  • Understanding the evolutionary connections between axonal elongation, cell crawling, and cell division may lead to better treatments for cancer and neuronal injury that minimize potential side effects.

INTRODUCTION

Although the evolution of synaptic transmission has been extensively explored (Kristan, 2016; Burkhardt, 2022; Sachkova, 2024), the question of how axons, as structural entities, first evolved has received surprisingly little attention. This is notable because the axon's ability to rapidly transmit signals over long distances is a striking and unique feature of neurons. More broadly, fundamental questions remain about when neurons first appeared and in what types of organisms (Budd and Jensen, 2017; Arendt et al., 2019; Paulin and Cahill-Lane, 2021). Challenges to resolving these questions include the absence of universal molecular markers for neurons across metazoans and recent updates on the early branching order of metazoan lineages (Schultz et al., 2023; Sachkova, 2024). Consequently, interesting questions emerge, such as whether neurons in ctenophores (comb jellies) are homologous to those in bilaterians, such as humans (Figure 1A). Because axons are a defining feature of neurons, insights into how these structures evolved may help resolve this and other long-standing questions. Building on the principle that evolution often proceeds by modifying preexisting features, we consider four hypothetical evolutionary pathways that could give rise to axons (Figure 2).

FIGURE 1:

FIGURE 1:

Core features of neurons date back to the LECA and the LACA and were used for cytokinesis. (A) Cladogram showing key events and the evolutionary origin of cytoskeletal features in neurons. Machinery used for synaptic transmission, powered cytokinesis in the LECA. Cell adhesion molecules and actomyosin-based contraction, which control axonal elongation, arose before Amoebozoa and may have assisted cell division or crawling in the LACA. The lack of neurons in sponges raises the question of whether neurons evolved once in the common ancestor to all metazoans and were subsequently lost in some lineages or evolved multiple times. (B) Color-coded schematic showing the evolutionary origin of the neuronal cytoskeleton. Machinery inherited from the LECA is labeled in blue. Innovations from the LACA, essential for traction force generation, including integrins and NMII, are shown in red. Laminin, an LMCA innovation, is shown in light green.

FIGURE 2:

FIGURE 2:

Four potential evolutionary paths to neurons. (A) Modified cytokinesis: the growth cone is homologous to the polar regions of dividing cells, and the axon to the cytokinetic bridge. (B) Modified cell crawling: the growth cone is homologous to a crawling cell, which forms a simple axon as it pulls away from the cell body. (C) Modified ciliogenesis: the axon is homologous to cilia; the growth cone is acquired later. (D) De novo evolution: the axon and the growth cone are novel evolutionary innovations unrelated to these other processes.

Modified cytokinesis

Because many cytokinesis-related genes are essential for axon outgrowth (Baas, 1999; Pollarolo et al., 2011; Lu and Gelfand, 2017), and like axons, cytokinetic bridges that form between daughter cells at the end of mitosis also have bundled microtubules surrounded by a spectrin/actomyosin meshwork (Dubey et al., 2020; Sobral et al., 2021), neurons may have evolved as the result of partially inducing cytokinesis in an interphase cell. Here, growth cones would be evolutionarily homologous (i.e., sharing a common evolutionary origin) to the traction force-generating polar regions of dividing cells (Lamoureux et al., 1989; Burton and Taylor, 1997), and the axon would be homologous to the cytokinetic bridge.

Modified cell crawling

Based on the molecular overlap and structural commonalities between growth cones and crawling cells (Miller and Suter, 2018; Dogterom and Koenderink, 2019), axons may have evolved due to mutations that caused a small region of the neuronal cell body to activate cell migration machinery. As a result, this region moved away from the cell body to form an axon. Here, growth cones would be homologous to crawling cells, and the axon shaft would have initially been a simple extension of the cell body, which later acquired its distinctive components.

Modified ciliogenesis

Because axons resemble eukaryotic cilia/flagella in that both are long, thin structures built from microtubules that depend on robust transport mechanisms to lengthen, they may have initially evolved through the modification of the cilia assembly pathway (Carvalho-Santos et al., 2011; Khan and Scholey, 2018). Although cilia elongate through a specialized set of proteins (Reynolds et al., 2018), the acquisition of cell crawling machinery at its tip would allow it to extend in a directed manner based on guidance cues generated by other cells. Here, the axon shaft would be homologous to a cilium.

De novo evolution

Alternatively, instead of axon outgrowth being a modification of a preexisting pathway, it may have evolved through a novel but currently unknown set of molecular innovations. An excellent example is seen in the evolution of major sperm protein in nematodes, which generates a unique form of cell crawling that does not involve actin (Roberts and Stewart, 2000; Fritz-Laylin, 2020). If so, outward similarities between axons and other cellular features would have arisen through convergent evolution, as is seen with bacterial and eukaryotic flagella.

With this framework, we discuss the biophysical and molecular relationships between cytokinesis, ciliogenesis, various forms of cell motility, and axon outgrowth to outline possible evolutionary pathways leading to axons. To evaluate these hypotheses, we first review the evolutionary origin of the core machinery supporting neuronal function and axon outgrowth.

RESULTS

Modern synaptic transmission machinery powered cytokinesis in the last eukaryotic common ancestor

Modern bilaterian neurons possess a unique constellation of features, including neurotransmitters, microtubule-based vesicular transport, exocytosis, endocytosis, and actin-based traction force generation. Nonetheless, these features arose as genetic innovations early in the evolution of eukaryotic cells to support other cellular processes (Figure 1A). In particular, essential components of the microtubule-based transport machinery (color-coded in blue) needed for neuronal function were present in the last eukaryotic common ancestor (LECA) (O'Malley et al., 2019). Likewise, genes essential for contractile force generation and cell adhesion in neurons (color-coded in red) evolved before the Amoebozoa lineage diverged from the rest of Eukaryota (Figure 1B). Because our goal here is to evaluate the hypothesis that axons evolved by repurposing molecular machinery that was initially used for another cellular process, we start by considering what neuronal genes were present in early eukaryotic cells and their initial cellular role.

Although one might imagine the LECA to be a “primitive” cell, phylogenetic studies suggest it was a remarkably sophisticated protist (Figure 1A) (Garg and Martin, 2016; Bremer et al., 2023). Because it existed before the evolution of nonmuscle myosin II (NMII) and integrins (Sebe-Pedros et al., 2014; Kang et al., 2021), which pinch and pull animal cells apart during division, it may have undergone cytokinesis using a mechanism similar to modern plants called cell plate formation (Muller and Jurgens, 2016; Yagisawa et al., 2020; Sinclair et al., 2022). This involves building a new cell plate through polarized secretion using microtubule-based delivery of vesicles mediated by SNARES, Syntaxin, CLASP, kinesin-12, and katanin (Livanos and Muller, 2019). Noting that these proteins are essential for both neuronal function and cytokinesis across eukaryotes suggests that axonal elongation may have evolved by repurposing ancient machinery that was initially used for cell division.

To further explore this problem, we next considered the evolutionary origin of the cytoskeletal machinery needed for axonal elongation, which is color-coded in Figure 1. Although the LECA-lacked proteins typically associated with contractile force generation and adhesion (i.e., NMII and integrins), it expressed sophisticated machinery for controlling the actin cytoskeleton, including profilin, Rac, WASP, and SCAR (Fritz-Laylin et al., 2017; Pandey and Chaudhary, 2017). In addition, it is thought to have expressed the full array of dynein classes (axonemal, intraflagellar transport (IFT), and cytoplasmic dynein) (Kollmar, 2016), and most kinesin classes (i.e., Kinesin-1, 2, 3, 4/10, 5, 8, 9A, 9B, 13, 14, 17) (Wickstead et al., 2010). These include Kinesin-5, which drives microtubule bundling and sliding, Kinesin-13, which modulates microtubule dynamics, and Kinesins 1, 2, and 3, which mediate intracellular transport (Joseph et al., 2021). Collectively, these proteins are essential for endo- and exocytosis, vesicular trafficking, slow/fast axonal transport, axonal elongation, and synaptic function in modern neurons.

Noting that both plants and animals utilize glutamate and ionotropic glutamate receptors for cell–cell communication (Gardiner and Marc, 2011; Qiu et al., 2019), current data suggest the LECA possessed essential components needed for synaptic transmission, growth cone lamellipodial formation, vesicular trafficking, and ESCRT-III-mediated axonal pruning and used these to power cytokinesis (Figure 1B). Of note, although plants appear not to form neuron-like synapses (Robinson and Draguhn, 2021), the extent of genetic overlap between the genes that drive plant cell division and neuronal function has led to the proposal that Arabidopsis may be an excellent model system to study the neuronal microtubule-based cytoskeleton (Gardiner and Marc, 2011). This suggests that neurons utilize ancient microtubule-based molecular mechanisms present in the last common ancestor of eukaryotic cells for their functioning. Because ciliogenesis and cell division were core features of the LECA, both start as reasonable candidates for being coopted during the evolution of neurons as a cell type.

Machinery for traction force generation in the LACA was used for cytokinesis and cell crawling

The next set of molecular innovations necessary for the evolution of neurons, metazoan cytokinesis, and cell crawling (i.e., amoeboid and mesenchymal migration) arose after the split between the lineages leading to plants and Amorphea (including animals) (Burki et al., 2020) (Figure 1B). These involved the de novo evolution of NMII (Richards and Cavalier-Smith, 2005), which allowed cells to generate contractile forces on actin arrays and later integrins (Sebe-Pedros et al., 2010; Kang et al., 2021). Although the original purpose of both proteins has yet to be discovered, in modern cells, they are used to apply forces to substrates, which promotes cell crawling and the separation of daughter cells during cytokinesis. Alongside the evolution of force-sensing and regulatory proteins that link integrins to actin (e.g., talin, paxillin, and proto-vinculin/a-catenin), these innovations allowed cells to develop new approaches for cytokinesis and motility (Wang et al., 2021; Brunet and Booth, 2023).

Later in the evolution of Eukaryotes, cells refined the process of secreting extracellular matrix molecules to assist with traction force generation. Initially, proteins with EGF/laminin and fibronectin III domains evolved into modern bilaterian ECM proteins such as laminin (Eichinger et al., 2005). To better control subcellular gradients in force generation and adhesion, the cell polarity gene Par1/MARK also evolved during this period (Brunet and Booth, 2023). This complemented the activities of Rho family GTPases by directing the polarized secretion of extracellular matrix proteins and targeting the subcellular localization of mRNA. Between the last amorphea common ancestor (LACA) and the emergence of metazoans, genes essential for cell adhesion (e.g., classical cadherins, c-Src, FAK, and Cdc42) also evolved (Fort, 2017; Brunet and Booth, 2023). The coupling of cell-generated extracellular matrix with sophisticated machinery for generating and sensing forces in the Last Metazoan Common Ancestor (LMCA) provided the core physical and regulatory elements necessary for axon outgrowth (Craig et al., 2024). Taken together, the early evolutionary history of eukaryotic cells suggests that many of the proteins required for axon outgrowth and synaptic transmission initially evolved to support cytokinesis and cell crawling (Figure 1). To evaluate which cellular processes have the closest relationships, we next consider the similarities and differences between the biophysics and molecular pathways that mediate cytokinesis, cell crawling, ciliogenesis, and axonal elongation.

Cytokinesis, cell crawling, and axonal elongation utilize similar physical mechanisms

Traits are heritable features that vary between individuals and affect fitness. Although often thought of in terms of morphological features, such as limb shape, features of metabolic processes like glycolysis and rates of cell growth are also traits (Caetano-Anolles et al., 2009). Thus, when considering whether two morphological structures are evolutionarily related, their shapes and the underlying processes that form them are useful for evaluating relationships. In particular, when two similar structures form through convergent evolution, the underlying processes that form them can be radically different (Stern, 2013). An excellent example is the flagella of bacteria and eukaryotic cells, which are outwardly similar but internally constructed using different molecules (Khan and Scholey, 2018). In turn, morphologically distinct structures, such as human hands and bat wings, are evolutionarily related (i.e., homologous) because the genes and mechanisms of formation have a shared origin (Cooper et al., 2012). In this next section, we use cytoskeletal flow maps as a trait to better understand the evolutionary relationships between axonal elongation, neuronal migration, cell crawling, and cytokinesis.

Though the morphology of neurons differs dramatically from that of nonneuronal cells, examination of underlying cytoskeletal flow patterns suggests that cytokinesis, cell crawling, and axonal elongation may be closely related (Craig et al., 2024) (Figure 3). Although the classic view was that axons elongate through the assembly of materials at the tip of stationary microtubule framework (Bamburg et al., 1986), modern studies using time-lapse microscopy reveal that, like crawling cells, the cytoskeletal elements in axons (Miller and Suter, 2018; Burute et al., 2022), and the leading process of migrating neurons (Guan et al., 2007; He et al., 2010; Hutchins and Wray, 2014; Minegishi et al., 2018) flow in bulk (Figure 3, D and E). Here, it is interesting to note that while microtubules flow toward the cell body during the initial outgrowth of cortical/hippocampal neurons, this switches to forward flow as the neurites mature into axons (Burute et al., 2022; Schelski and Bradke, 2022). In other neuronal cell types and bilaterians, including Aplysia bag cell neurons, Drosophila motor neurons, Xenopus spinal cord neurons, and chick and rat peripheral neurons, microtubules flow toward the growth cone during elongation (Reinsch et al., 1991; Miller and Sheetz, 2006; Lamoureux et al., 2010; Roossien et al., 2013; Athamneh et al., 2017).

FIGURE 3:

FIGURE 3:

Cytokinesis, cell crawling, and axonal elongation utilize shared biophysical mechanisms. Each panel shows a schematic, a still image, a kymograph, a velocity profile, and a normalized traction force profile for a cellular process. Maps of adhesion, motor activity, and Rho GTPase activities are shown at the bottom. (A) During cytokinesis, Rho induces a convergence zone, which drives the inward flow. Because adhesions are symmetric, traction forces are balanced, and cells are stationary. (B) Cells undergoing amoeboid migration resemble a dividing cell with only adhesions on one side. (C) The transition to mesenchymal migration involves globally increased cell adhesion and a shift of the convergence zone toward the leading edge. (D) During neuronal migration, the leading process advances in tandem with the cell body. The convergence zone and rapid lamellipodial retrograde actin flow are restricted to the growth cone. (E) Axonal elongation resembles neuronal migration over the distal region of the axon. The major difference is that high levels of adhesion under the axon and cell body cause velocity to decrease away from the growth cone, and the cell body to remain stationary. Adapted with permission from (Craig et al., 2024).

In turn, consistent with the idea that cytokinesis and cell crawling are closely related processes, it has long been appreciated that cortical flow patterns established during cytokinesis continue into interphase and power cell motility (Swann and Mitchison, 1958; Bray and White, 1988; DeBiasio et al., 1996). During cytokinesis, Rho activation establishes the site of the cleavage furrow (Pollard and O'Shaughnessy, 2019). This activates NMII, which drives symmetrical inward cortical flow, which is evident in the kymograph and velocity profile from a figure adapted from (Craig et al., 2024) (Figure 3A). Simultaneously, Rap activation under the polar regions of dividing cells turns on integrins, generating inward-pointing traction forces (Dix et al., 2018; Taneja et al., 2019), while gradients in Ran modulate microtubule dynamics and motors (Ozugergin and Piekny, 2021). Immediately following cytokinesis, the cytokinetic bridge becomes the trailing edge of the two daughter cells, and the polar regions transition into the leading edges, producing cellular motion (Figure 3, B and C). The subcellular velocity profiles of cytokinesis, amoeboid migration, and mesenchymal migration are all similar in that they have a primary convergence zone into which materials flow (Figure 3, A and C). They differ in that during cell migration, the zone of high Rho activity and, thus, contractile activity expands. Also, instead of being symmetrical, crawling cells typically have a single region with high cell adhesion downstream of Rap. Thus, the biophysics and the subcellular patterns of Rho, Rap, Rac, and Ran activation suggest that crawling cells physically behave like half of a dividing cell.

In turn, amoeboid and mesenchymal migration resemble neuronal migration in that, as the cells move forward, the underlying cytoskeleton advances, as seen by comparing the kymographs and subcellular velocity profiles (Figure 3, B–D). Where they differ is that the zone of contractile activity that drives leading-edge retrograde actin flow extends over large regions of crawling cells but is restricted to a narrow region in growth cones. Thus, the overall shapes of the flow and traction force maps are qualitatively similar in cell crawling and neuronal migration. Likewise, when focusing on the distal axon, the process of axonal elongation resembles neuronal migration. In both, a convergence zone in the growth cone drives retrograde actin flow, while microtubules and associated organelles in the axon/leading process flow forward in bulk (Figure 3, D and E). The primary difference between migration and elongation is that, during elongation, the strength of adhesions under the cell body is high, which causes it to remain stationary. Collectively, this suggests that cytokinesis, amoeboid migration, mesenchymal migration, neuronal migration, and axonal elongation may be related. In each, a primary contractile zone, organized by Rho, drives inward flow, while differences in patterns of subcellular adhesion, modulated by Rap and Rac, control traction force generation and motion. Thus, at the physical level, axonal elongation appears to be a variation of the same process that drives cytokinesis and different modes of cell crawling.

In contrast, although axons and cilia appear outwardly similar, ciliogenesis uses a different physical mechanism, which involves microtubule assembly at the tip of a stationary array of microtubules controlled by IFT (Patra et al., 2020). And, unlike the microtubules extending into axons, these microtubules are linked to the cell body via the basal body, and their assembly is controlled through cilia-specific proteins (Avasthi and Marshall, 2012). Although microtubule sliding is a robust feature of cilia, it powers their rhythmic motion instead of elongation. In short, the mechanical process of axonal elongation more closely resembles cytokinesis and cell migration than ciliogenesis. This suggests that the outwardly similar morphology of cilia and axons may result from convergent evolution rather than homology. Nonetheless, it is important to note that there is extensive overlap and connections between the genes that drive ciliogenesis and cytokinesis (Ou and Scholey, 2022). This suggests the need for establishing the evolutionary relationships between cytokinesis, ciliogenesis, mesenchymal migration, amoeboid migration, neuronal migration, and axonal elongation.

Rho, Ran, and Rap signal transduction pathways control force generation and adhesion

Cellular physical processes occur through well-studied modules of Rho family GTPases, which activate evolutionarily conserved effector proteins to control force generation and cell adhesion (Beljan et al., 2020). Before discussing the molecular similarities and differences between processes, we will briefly review these modules to bridge the gap between cellular biophysics and molecular pathways.

Broadly, Rho acts to create actomyosin-based convergence zones into which materials flow (Filic et al., 2021). It does so by activating formin and ROCK, which induce unbranched actin assembly and NMII-based contraction (Figure 4A). Complementing this, Ran GTPase modulates microtubule assembly, microtubule bundling, and microtubule motors to generate forces that can be contractile or extensile (Chen et al., 2017; Ozugergin and Piekny, 2021). Meanwhile, Rap is a master organizer of cell adhesion and, thus, traction force generation. It signals through GEFs and GAPs to activate Rac and talin, creating branched actin meshworks linked to the substrate through cell adhesion molecules, including cadherins and integrins (Shah and Puschel, 2016; Jaskiewicz et al., 2018).

FIGURE 4:

FIGURE 4:

Rho, Ran, and Rap signaling pathways control microtubule and actin dynamics during cytokinesis, cell crawling, and axon outgrowth. (A) Key effectors and cellular activities for each pathway. (B) Diagram showing cytoskeletal mechanics found under the polar region of dividing cells, at the leading edge of crawling cells, and growth cones. (C) Illustration of features found in cytokinetic bridges and neurites.

Together, patterns of Rap, Rho, and Ran activity at the leading edge of crawling cells, growth cones, and the polar regions of dividing cells organize traction force machinery. High levels of Rap induce substrate attachment, a localized region of Rho activity induces NMII contraction powering flow, and high levels of Ran activity at the leading edge of crawling cells and in growth cones activate dynamic microtubules (Figure 4B). In turn, at the cleavage furrow of dividing cells and along axons, high levels of Rho activity induce NMII activity, tension, inward flow, and circumferential constriction. Paired with this, molecular motors and microtubule-associated proteins bundle and slide microtubules to generate forces. As a result of the combined activity of the actin and microtubule cytoskeleton, cytokinetic bridges and axons are formed (Figure 4C). With this background, we next focus on the molecular parallels and differences in these pathways to evaluate the relationship between cytokinesis and axonal elongation.

Signaling pathways that regulate cytokinesis control axonal elongation

Although neurons are notable for not dividing, many cell-cycle genes modulate neuronal morphology and synaptic functioning. For example, as reviewed in Frank and Tsai (2009), the ubiquitin ligase APC, which acts on Cdh1 and Cdc20, modulates axonal growth, dendrite morphogenesis, and synapse formation. Cohesion, which links chromatids, is involved in axon pruning and dendritic targeting. Whereas Aurora A kinase, Polo-like kinase 2, and CDK5 modulate synaptic strength. In turn, in Alzheimer's disease, neurons misexpress mitotic genes, including CDK1, CDK4, CDK5, cyclin A, cyclin D, cyclin E, p16INK4a, and p27Kip1. This causes neurons to dedifferentiate and reenter the cell cycle (Arendt, 2003). These observations suggest a close link between the genes that control division and neuronal function.

To consider the parallels and differences between cytokinesis and axonal elongation, we next compare the cell signaling pathways and effector proteins that drive these processes. For an excellent review of the Rho signaling axis in the context of cell division, see Pollard and O'Shaughnessy (2019). Reviews for Rap and the link with Rac are provided in the following reference (Arthur et al., 2004; Frische and Zwartkruis, 2010; Gloerich and Bos, 2011; Shah and Puschel, 2016). The Ran GTPase pathway is summarized in Ozugergin and Piekny (2021). To illustrate, we show key proteins in these pathways, their interactions, and downstream effectors linked together (Figure 5A). In both the signaling and cellular diagrams, the Ran pathway and its subcellular pattern of activation are shown in green, while Rho and Rap are color-coded blue and red, respectively (Figure 5C).

FIGURE 5:

FIGURE 5:

Cytokinesis and axogenesis utilize shared signaling pathways. (A) Overview of key molecular components mediating cytokinesis. (B) Axonal elongation differs at the upper levels, noted by molecules labeled in black. (C) Color-coded schematic of a dividing cell and neuron. Ran and Rap activities are elevated at the leading edge of growth cones and under the poles of dividing cells, shown in green and red. Rho activity, illustrated in blue, is high at the cleavage furrow, in the growth cone transition zone, and along axons. In neurons, a periodic arrangement of actin rings and spectrin stabilizes axons (Xu et al., 2013; Dubey et al., 2020). During cytokinesis, spectrin stabilizes actomyosin rings, which contract to form the cytokinetic bridge (Sobral et al., 2021).

During cell division, as interphase animal cells enter mitosis, Ran activates Aurora A Kinase, which promotes centrosome maturation and mitotic spindle assembly (Willems et al., 2018). Due to its interaction with Aurora A Kinase, TPX2 induces microtubule nucleation by activating γ-Tubulin ring complexes. Microtubule assembly is further modulated by microtubule end-binding proteins, including EB1, CLASP, and CAMSAP/Patronin (Akhmanova and Steinmetz, 2015; Yamada and Goshima, 2017). During this process, cells partially detach from the substrate and round. The loss of adhesions occurs due to a global downregulation of Rap, which normally acts to promote Rac and integrin activation during interphase (Dao et al., 2009). Additionally, the export of the RhoGEF Ect2 from the nucleus at prophase causes global activation of Rho at the cell cortex, isotropic NMII activation, formin-mediated actin assembly, and downregulation of Rac/Cdc42-controlled cell adhesions (Rosa et al., 2015; Dix et al., 2018; Pollard and O'Shaughnessy, 2019). Because NMII is initially isotopically activated, cortex tension rises, which drives rounding, but the flow rate remains low. At metaphase, this results in cells that are roughly spherical and loosely attached to the substrate, with two mitotic spindles consisting of astral, kinetochore, and polar (nonkinetochore) microtubules (Prosser and Pelletier, 2017).

After chromosome capture and passage through the spindle checkpoint, anaphase begins. Three primary force-generating mechanisms then work to divide the cell: Rho-mediated circumferential actomyosin constriction at the midline, which pinches the cell in two to form the cytokinetic bridge; Ran-mediated microtubule-based extensile forces that push cells apart; and Rap actin-based traction forces that pull the nascent daughter cells apart (Figures 4, B and C and 5C). Coordinating this, centralspindlin, a complex of Kinesin-6 and MgcRacGAP, bundles microtubules and locally stimulates Ect2, which activates Rho at the midline to create a contractile zone (Pollard and O'Shaughnessy, 2019) (Figure 5A). Rho and its effectors activate formin to generate linear arrays of actin and NMII to drive flow, while NMII and cofilin disassemble the actin meshwork to prevent accumulation at the cleavage furrow. During this process, plastin and spectrin cooperate to stabilize actin around the cytokinetic bridge (Sobral et al., 2021). Collectively, this generates a circumferential band of elevated contraction and, thus, constriction and flow toward the midline (Singh et al., 2019). Simultaneously, high levels of Rap and, thus, Rac activity occur toward the poles, activating WASP, ARP2/3, NMII, and integrins (Jordan and Canman, 2012). This results in traction force generation that pulls the two daughter cells apart (Taneja et al., 2019) (Figure 4B). Complementing this, Kinesin-5 bundles microtubules and generates extensile forces that push antipolar microtubules apart (Cross and McAinsh, 2014) (Figure 4C). Collectively, the combination of contraction at the midline, traction forces at the poles, and microtubule extensile forces push and pull to form two daughter cells connected by a cytokinetic bridge (Figure 5C). Cell division is then completed by the process of abscission via the ESCRT-III complex, which cleaves the cytokinetic bridge (Andrade and Echard, 2022). To assess the similarities and differences between cell division and axonal elongation, we next discuss this same pathway in the context of axon outgrowth.

Genes involved in animal cell cytokinesis and axon outgrowth overlap

Like with cytokinesis, the Rho family GTPases, Ran, Rho, and Rap, orchestrate all phases of neuronal development. This includes axonal initiation, elongation, and guidance (Hall and Lalli, 2010) (Figure 5B). Rap, which controls adhesion under the poles of dividing cells, is activated by NGF and cAMP in neuronal growth cones (Figure 5C) and regulates cadherin and integrin-based adhesions during neocortical development and synaptic plasticity in adults (Shah and Puschel, 2016). In turn, Rho signaling, which is central to cytokinesis, is a promising target for neuronal regeneration. In neurons, Rho is regulated in part by the centralspindlin complex (i.e., Kinesin-6 and MgcRacGAP), which modulates axonal elongation (Falnikar et al., 2013). In accordance, disruption of the RhoGEF Ect2, which links centralspindlin and Rho, impairs axonal guidance and synaptogenesis (Koizumi et al., 2007) and increases growth cone number (Tsuji et al., 2012). Similar to Rap, specialized proteins have evolved, for example, the Netrin–DCC pathway, allowing extracellular guidance cues to control Rho signaling and thus axonal elongation. Likewise, Ran, which is the primary regulator of the microtubule cytoskeleton during cytokinesis, controls microtubules in neurons to promote axon outgrowth (Chen et al., 2017) (Figure 5C). Its downstream effector, Aurora A kinase, in tandem with atypical protein kinase C (aPKC) and NDEL1, acts at the axon hillock to organize microtubules and to promote axon initiation and elongation (Mori et al., 2009; Pollarolo et al., 2011; Blazejewski et al., 2021). As a result of TPX2 activation, γ-Tubulin, alone and assisted by Augmin, helps establish microtubule polarity in axons and dendrites (Nguyen et al., 2014; Sanchez-Huertas et al., 2016). As a result of these activities, Dynein and Kinesin-5 generate forces that control neuronal microtubule sliding and outgrowth (Myers and Baas, 2007; Roossien et al., 2014). Thus, the signaling pathways that control cell division control axonal elongation.

Downstream of these signaling pathways, the cytokinesis effector proteins Wasp/Scar, Arp2/3, formin, profilin, and cofilin have all been shown to be critical for elongation and growth cone guidance (Wills et al., 1999; Kuhn et al., 2000; Arakawa et al., 2003; Strasser et al., 2004; Shekarabi et al., 2005). Likewise, NMII and integrins, which generate forces and traction during cell division, control elongation and cell adhesion in neurons (Condic and Letourneau, 1997; Bridgman et al., 2001; Wylie and Chantler, 2001). Additionally, septins and anillin, proteins that mark the site of cytokinesis initiation and organize cell signaling, are also essential for axon initiation, axo-dendritic sorting, axon outgrowth, synapse formation, axon branching, and neuronal migration (Tian et al., 2015; Falk et al., 2019; Radler et al., 2023). Finally, the ESCRT-III complex, which cleaves the cytokinetic bridge during abscission (Lafaurie-Janvore et al., 2013; Andrade and Echard, 2022), prunes unneeded axon branches during development (Loncle et al., 2015). Collectively, this suggests that signaling pathways and cytoskeletal effectors that control cytokinesis play analogous roles in axonal elongation.

Are axons modified cilia?

Cilia and flagella are ubiquitous structures that protrude from nearly all human cells, including neurons (Satir and Christensen, 2007). Although highly similar, flagella and cilia differ in form and function: cilia tend to be numerous, short, and are often involved in sensory function, whereas flagella tend to be long and often drive cell locomotion. The idea that axonal elongation evolved from the mechanisms used to create cilia and flagella is appealing because these structures are all constructed from bundled microtubules. Like axons, their outgrowth requires robust microtubule-based transport, microtubule assembly, and is tightly coordinated with the cell cycle (Avasthi and Marshall, 2012). Nonetheless, unlike axons, the microtubule-based structure inside cilia and flagella, called the axoneme, extends from a basal body (Carvalho-Santos et al., 2011). In turn, Although axons typically have singlet microtubules cross-linked with MAPs such as tau and MAP2 (Sundermann et al., 2016), axonemes are characterized by having nine doublet microtubules, which surround two singlet microtubules in motile cilia, with a basal body at the base (Satir and Christensen, 2007). These microtubules are cross-linked by a nexin-dynein regulatory complex and utilize axonemal dynein, which is absent in axons, to drive motion (Heuser et al., 2009). Finally, axonemes lack a cortical actin meshwork (Hoffman and Prekeris, 2022). Thus, there are significant differences in the cytoskeletal organization of axonemes and axons.

Additionally, the transport processes that underlie ciliogenesis and axonal elongation differ dramatically. The length of cilia is tightly regulated by IFT machinery, which uses Kinesin-2 to move cargoes out of the cell body (IFT-B) and a specialized cytoplasmic dynein-2 for retrograde transport (IFT-A) (Roberts, 2018). Although Kinesin-2 supports axonal transport in neurons (Ray et al., 1999), cytoplasmic dynein-2 has no known role in axonal transport. Furthermore, unlike axons, IFT cargos lack membranes, and other membrane-bound cargoes such as mitochondria and endosomes are absent. In terms of elongation, ciliogenesis occurs as the result of microtubule assembly at the tip, which is regulated by the cilia-specific proteins FAP256/CEP104, CHE12/Crescerin, and ARMC9 (Louka et al., 2018; Reynolds et al., 2018), which make up the flagellar tip complex.

Although these differences do not exclude the possibility of axon outgrowth evolving directly through the modification of ciliogenesis, an evolutionary pathway linking them would involve a substantial loss and gain of molecular components. These include a loss of connection between the basal body and axonal microtubules, the loss of the characteristic 9 + 2 arrangement of microtubules, a significant loss of cilia-specific genes involved in modulating ciliogenesis and generating flagellar motion, the loss of IFT-specific machinery, and the gain of genes essential for growth cone-mediated substrate adhesion and the axonal transport of membrane-bound organelles. These observations suggest that if axonal elongation evolved from ciliogenesis, the process involved major modifications in cytoskeletal composition and organization.

Hypothetical pathway for the evolution of axons

The essential role of the axon as a structure is to transmit information and molecules over long distances while minimizing the energetic costs associated with maintaining cellular function. As such, the morphology of a long, thin cylinder with robust transport mechanisms is an excellent solution. Although similarities between cytokinesis, cell crawling, and axon formation suggest extensive repurposing of cellular machinery, the formation of the first axon must have involved a novel molecular event.

Using metazoan cellular development as a framework to discuss neuronal evolution, after DNA replication and centriole duplication, cells in the G2 phase of the cell cycle enter mitosis (Pollard and O'Shaughnessy, 2019) (Figure 6A). The coordinated activation of Ran, Rho, and Rap generates an antiparallel array of microtubules that forms the cytokinetic bridge, actomyosin contraction that pinches the cell in two, and the activation of polar traction force machinery that pulls daughter cells apart (Figure 6B). Cell crawling can occur immediately after the bridge is cleaved by abscission, through the partial continuation of mechanisms initiated during mitosis (Bray and White, 1988; DeBiasio et al., 1996) (Figure 6C). Likewise, for cells fated to become neurons, axon initiation occurs minutes after the completion of cytokinesis during G1 phase (Pollarolo et al., 2011). It is also organized by the mitotic signaling proteins Aurora A kinase and Rho and requires the formation of an antiparallel microtubule array (del Castillo et al., 2015) (Figure 6D). Coupled with the activation of traction force generation by the actin cytoskeleton, the growth cone forms, and pulls away (Figure 6E).

FIGURE 6:

FIGURE 6:

The Evo/Devo pathway of axon formation. (A) A modern metazoan cell with duplicated centrioles and DNA before mitosis. (B) Activation of Rho drives constriction, Aurora A kinase organizes microtubules, and Rap activates integrins, which pull dividing daughter cells apart. (C) Cell crawling occurs by using the traction force machinery that assists cytokinesis. It may have evolved as the result of continued activation during interphase. (D) Axon formation is induced by actomyosin constriction and microtubule reorganization through Rho and Aurora A kinase signaling. Axons may have evolved by partially activating cytokinesis during interphase. (E) Axonal elongation occurs as the growth cone crawls away from a stationary cell body, and microtubules reorganize.

Here, it is interesting to note that the establishment of an antiparallel microtubule array (Figure 6D), like that found in the mitotic spindle, has been suggested to be essential for neurite initiation (del Castillo et al., 2015). The observation that dendrites in some modern bilaterians contain microtubule organizing centers (MTOCs) and antiparallel microtubules (Wilkes and Moore, 2020) raise the question of whether the first neuronal extensions inherited their microtubule organization from the mechanism used to create the mitotic spindle (Figure 6D). If this model is correct, it suggests that the mixed organization of microtubules in dendrites may be ancestral, and the parallel arrays of microtubules in modern axons are a more recent innovation. In turn, the repurposing of the cytokinetic actomyosin cytoskeleton, which is stabilized by spectrin and plastin, provides a plausible evolutionary pathway leading to the periodic meshwork of spectrin and actin in mature axons (Xu et al., 2013; Dubey et al., 2020; Sobral et al., 2021).

As to the potential molecular mechanism initiating axon evolution, we note that the most significant differences between cytokinesis and axonal elongation occur at the upper levels of their signal transduction pathways (compare Figure 5, A and B). This suggests the hypothesis that mutations at this level partially activated cytokinesis during interphase before DNA replication (Figure 6D). As a result, the side of the cytokinetic bridge containing the nucleus became the neuronal cell body, while the other side became the growth cone (Dao et al., 2009; Taneja et al., 2019) (Figure 6E). Yet, instead of abscission ensuing immediately, activation of the ESCRT-III complex is delayed and used later to prune neuronal extensions (Loncle et al., 2015; Andrade and Echard, 2022).

As to what drove axon evolution, we speculate that there was selection pressure on a cell to bridge long distances while minimizing cell volume and resisting forces induced by body growth or motion. Repurposing the machinery used for cytokinesis may have solved three physical problems. It created a thin region that could be stretched as a result of sustained forces generated during axonal elongation; it minimized the volume and thus the resources needed to maintain neurons; and, it helped protect axons from forces associated with body motion by reusing the cortical meshwork of spectrin, plastin, actin, and myosin that maintains cellular integrity during cytokinesis (Wang et al., 2008; Smith, 2009; Tofangchi et al., 2016; Dubey et al., 2020; Sobral et al., 2021).

Did growth cones evolve from the machinery used to drive cytokinesis, cell crawling, or a combination of both?

Although the hypothesis that axonal elongation evolved as a modified form of cell crawling is only briefly discussed here, we initially favored it as an explanation based on the parallels between their biophysical and molecular mechanisms (Miller and Suter, 2018; Craig et al., 2024). In brief, the hypothesis is that mutations in early metazoans locally activated traction force machinery, which pulled out a thin cytoplasmic process that later evolved into an axon. Over evolutionary time scales, the overlap between the genes involved in cytokinesis and axonal elongation is explained by the recruitment of cytokinetic proteins through convergent evolution (Stern, 2013). The strength of this model lies in its ability to explain the similarities between the morphology and mechanics of growth cones and crawling cells (Dogterom and Koenderink, 2019; SenGupta et al., 2021). Its weakness is that it does not explain why many proteins involved in cytokinesis, such as septins and the ESCRT-III complex, play essential roles in neuronal function, such as controlling axonal branching and pruning (Loncle et al., 2015; Falk et al., 2019).

Although the available data are consistent with partial activation of cytokinesis as the origin of axons, the evolutionary origin of growth cones is less clear. Although growth cones may be homologous to polar traction force machinery, a more nuanced view is that growth cones evolved as the result of merging the signaling pathways that drive cytokinesis with the cytoskeletal effectors active during interphase that power cell crawling. In essence, a horizontal/lateral gene transfer event that merges the activity of gene modules normally separated by the timing of their expression, instead of from different species (Boto, 2010). This suggests the hypothesis that growth cones evolved by combining the regulatory mechanisms used for the induction of polar traction force generation during cytokinesis with the effector proteins present in interphase cells that mediate cell crawling.

DISCUSSION

Ways forward

In discussing the evolution of cellular mechanisms, we use the terms homology and convergent evolution, as molecular biologists, to indicate whether or not an evolutionary relationship exists (Patterson, 1988). By abstractly considering cellular processes as “species,” each associated with the activities of subsets of genes within a genome, we ask how they are related based on the activity of genes required for each process. A challenge in understanding axonal elongation is that it utilizes genes essential for different cellular processes, in particular, cell crawling and cytokinesis. Although convergent evolution may explain this (Stern, 2013), the idea that two cellular processes within a cell can merge may be critical for understanding how a process as complex as axonal elongation seemingly evolved so abruptly and perhaps independently (Burkhardt, 2022).

Noting that cytokinesis, ciliogenesis, cell crawling, and axonal elongation all have unique aspects but are closely related, we suggest that developing an evolutionary tree linking cytokinesis, ciliogenesis, amoeboid migration, mesenchymal migration, neuronal migration, dendrite elongation, and axonal elongation (Craig et al., 2024) is a needed long-term goal to understand how axons and dendrites evolved. As a starting point, gene ontology terms could be used to generate sets of genes associated with each process, followed by the creation of functional similarity trees (Koc and Caetano-Anolles, 2017). To infer phylogeny, this would need to be coupled with knowledge about when different cellular processes and essential genes first emerged. In doing so, careful consideration of cell type, cell state, gene networks, horizontal gene transfer, and the modularity of biochemical processes will likely be essential (Caetano-Anolles et al., 2009; Boto, 2010; Arendt et al., 2019).

To discover the molecular evolutionary events that gave rise to axons, a logical path forward will be to identify neuronal genes that are necessary and sufficient to induce the formation of axons. Toward this goal, a detailed phylogenetic analysis of the evolutionary history of metazoan axons and dendrites will lead to deeper insights. A current challenge is that while evidence is accumulating that suggests that Ctenophores (comb jellies), instead of Porifera (sponges), are the first lineage to diverge from the rest of animals (Schultz et al., 2023), whether the cells called neurons in Ctenophores are homologous to bilaterian neurons or are the result of convergent evolution remain unknown (Burkhardt et al., 2023) (Figure 1B). In particular, the lack of a neuronal-specific marker shared between Ctenophores and other metazoans leaves this an open question. Given the current state of knowledge, a critical step in understanding the evolution of neurons and axons will be determining whether Ctenophore and Bilaterian neurons share a common origin. If so, shared neuronal genes and structural features were likely present in the neurons of our last common ancestor and represent strong candidates for the novel innovation(s) that generated the first axon. In contrast, if neurons in Ctenophores and bilaterians reflect convergent, parallel, or collateral evolution (Stern, 2013), understanding how different evolutionary histories yield cell types with similar functions may provide novel insights into how to coax any given cell type into generating an axon-like process. Further triangulating this, if sponges are derived from a lineage that possessed neurons yet lost them (Ryan and Chiodin, 2015), the genes required for neuron formation should be mutated such that their function in inducing axon formation was lost. Likewise, given that choanoflagellates, single-celled protists, are currently thought to be the closest extant species before the split leading to metazoans, they arguably lack a subset of the molecular innovations needed to create neurons and will serve as a useful outgroup (Carr et al., 2008).

In turn, a cell biological approach to complement phylogenetic analysis will be to start with lists of genes that are known to be required for cytokinesis (Glotzer, 2005; Eggert et al., 2006), ciliogenesis (Avasthi and Marshall, 2012; Wheway et al., 2015; Failler et al., 2021), and cell crawling (Cram et al., 2006; Simpson et al., 2008), and then to disrupt them in neurons. A challenge is that because axogenesis can occur immediately following mitosis (Pollarolo et al., 2011), experimental approaches must ensure that mitotic genes can be selectively disrupted in postmitotic cells. For example, one approach to bypass required functions during cytokinesis would be to use conditional somatic CRISPR/CAS9 in C. elegans (Tian et al., 2015), which has been used to demonstrate the role of the mitotic scaffolding protein anillin in axonal growth. Another is to use pharmacological agents, such as the Kinesin-5 inhibitor monoastrol, which allows genes to be fully functional until acutely disrupted (Haque et al., 2004). Likewise, optogenetic approaches have great potential because they combine molecular specificity and tight temporal control (Wagner and Glotzer, 2016). More conventionally, RNAi or CRISPR/CAS9 in cultured neurons or in vivo, where gene expression is inhibited for a prolonged period (Myers and Baas, 2007), may be well suited to study mitotic genes needed for sustained neuronal functioning. These approaches for gene manipulation can be complemented with fluorescent tagging of proteins of interest, as was done to show Rho and Aurora A kinase accumulate at sites of axonal initiation (Pollarolo et al., 2011). In addition, super resolution microscopy and ultrastructural studies can elucidate how the activity of specific proteins contributes to structural architecture (Vassilopoulos et al., 2019).

Ultimately, identification of the genes that are necessary and sufficient for axogenesis will be essential for developing a better understanding of how axons evolved. If the hypothesis that axonal elongation evolved by inducing cytokinesis in an interphase cell is correct, then these genes would be predicted to be closely related to the genes that control cytokinesis. Likewise, if axons evolved through a modification of cell crawling or ciliogenesis, the essential genes for initiating these processes are predicted to be shared. Utilizing phylogenetic approaches to identify genes, paired with molecular genetics to test gene function, offers the promise of making rapid progress on this problem. More broadly, applying this approach to determine the evolutionary relationship between cytokinesis, ciliogenesis, and various modes of motility could help divide the process leading to the evolution of axons into more tractable chunks.

As to why understanding axonal evolution is relevant to human health, Dobzhansky's quote, “Nothing in Biology Makes Sense Except in the Light of Evolution,” is apt (Dobzhansky, 1964; Dobzhansky, 1973; Giaimo, 2023). Although effective treatments are limited for neurological trauma and neurodegenerative diseases (Ng and Lee, 2019; Vasic et al., 2019), those with promise involve treatment with neurotrophins, inhibition of Rho, and manipulation of stem cells. Understanding the evolutionary relationship between cell division, crawling, and neuronal function may help explain why these therapies are effective, their off-target effects, and how to better differentiate stem cells into mature neurons. In parallel, an evolutionary link between cell division and neurons may explain why therapies designed to treat cancer can induce neuropathy (Gornstein and Schwarz, 2014; Rivera and Cianfrocca, 2015). Although understanding how axons evolved does not guarantee better approaches for treating cancer and neurological damage, it may provide necessary insights.

SUMMARY

How axons as a structure first evolved is a novel question. Building on the idea that evolution often occurs through the modification of existing features, here, we explore which cellular process is most closely related to axonal elongation. Reviewing the literature on cytokinesis, ciliogenesis, amoeboid migration, mesenchymal migration, neuronal migration, and cell crawling reveals significant overlap in gene expression and physical mechanisms. This suggests the need for a phylogenetic tree to describe their evolutionary relationships. Focusing on axonal elongation, there are strong parallels between axons and cytokinetic bridges, as well as growth cones and the traction force machinery that assists cytokinesis and cell crawling. Currently, this could be attributed to the accumulation of multiple mutations that led to the cooption of genes involved in ciliogenesis, cell division, cell crawling, as well as the de novo creation of new proteins specifically required to form axonal structure. Alternatively, the evolution of axogenesis and growth cone formation could be explained by a small number of events that partially activated cytokinesis in an interphase cell. Looking forward, the next steps will be to rigorously test these hypotheses using statistical/phylogenetic approaches coupled with biophysical analysis and molecular genetic manipulations. Through a better understanding of the evolution of neurons, we believe that novel insights will be gained on how to induce cells to form and elongate axons. More broadly, answering the question of how axons evolved will help determine whether neurons evolved once or independently in comb jellies (Ctenophores) and other metazoans. Ultimately, a deeper understanding of axonal evolution may lead to novel treatments for neurodevelopmental disorders, neurotrauma, neurodegeneration, and cancer.

ACKNOWLEDGMENTS

The work related to this article was funded by NSF Research at Undergraduate Institutes Award 1915477 (to E.M.C.) and NIH (5R01MH094607-05) and NSF (Award number 1453799) to K.E.M. We thank Peter Baas, Vladimir Gelfand, Sathya Puthanveettil, Daniel Suter, Steven Heidemann, Anthony Cognato, and Eva Miller for their insightful suggestions and support.

Abbreviations used:

APC

adenomatous polyposis coli

aPKC

atypical protein kinase C

ARMC9

armadillo repeat containing 9

ARP2/3

actin-related protein 2/3

c-Src

cellular sarcoma

cAMP

cyclic adenosine monophosphate

CAMSAP

calmodulin-regulated spectrin-associated protein

Cdc20

cell division cycle 20

Cdc42

cell division cycle 42

Cdh1

cadherin-1 (E-cadherin)

CDK1

cyclin-dependent kinase 1

CDK5

cyclin-dependent kinase 5

CEP104

centrosomal protein 104

CHE12

chemosensory defective 12

CLASP

cytoplasmic linker associated protein

CRISPR/CAS9

clustered regularly interspaced short palindromic repeats / CRISPR-associated protein 9

DCC

deleted in colorectal cancer

EB1

end binding protein 1

ECM

extracellular matrix

Ect2

epithelial cell transforming sequence 2 oncogene

EGF

epidermal growth factor

ESCRT-III

endosomal sorting complex required for transport III

FAK

focal adhesion kinase

FAP256

flagellar associated protein 256

G1

phase Gap 1 phase of cell cycle

G2

phase Gap 2 phase of cell cycle

GAPs

GTPase activating proteins

GEFs

guanine nucleotide exchange factors

GO

gene ontology

GTPases

guanosine triphosphatases

IFT

intraflagellar transport

LACA

last amorphean common ancestor

LECA

last eukaryotic common ancestor

LMCA

last metazoan common ancestor

MAP2

microtubule-associated protein 2

MAPs

microtubule-associated proteins

MgcRacGAP

male germ cell rac GTPase-activating protein

MTOC

microtubule organizing center

NDEL1

nuclear distribution element-like 1

NGF

nerve growth factor

NMII

non-muscle myosin II

p16INK4a

cyclin-dependent kinase inhibitor 2A

p27Kip1

cyclin-dependent kinase inhibitor 1B

Par1/MARK

partitioning-defective 1 / microtubule affinity-regulating kinase

Rac

ras-related C3 botulinum toxin substrate

Ran

ras-related nuclear protein

Rap

ras-related protein rho

Ras

homologous RhoGEF

Rho

guanine nucleotide exchange factor

RNAi

RNA interference

ROCK

Rho-associated, coiled-coil containing protein kinase

SCAR

suppressor of cyclic AMP receptor

SNARES

soluble NSF attachment protein receptors

TPX2

targeting protein for xenopus kinesin-like protein 2

WASP

wiskott-aldrich syndrome protein.

Footnotes

This article was published online ahead of print in MBoC in Press (http://www.molbiolcell.org/cgi/doi/10.1091/mbc.E24-12-0585) on July 30, 2025.

REFERENCES

  1. Akhmanova A, Steinmetz MO (2015). Control of microtubule organization and dynamics: Two ends in the limelight. Nat Rev Mol Cell Biol 16, 711–726. [DOI] [PubMed] [Google Scholar]
  2. Andrade V, Echard A (2022). Mechanics and regulation of cytokinetic abscission. Front Cell Dev Biol 10, 1046617. [DOI] [PMC free article] [PubMed] [Google Scholar]
  3. Arakawa Y, Bito H, Furuyashiki T, Tsuji T, Takemoto-Kimura S, Kimura K, Nozaki K, Hashimoto N, Narumiya S (2003). Control of axon elongation via an SDF-1alpha/Rho/mDia pathway in cultured cerebellar granule neurons. J Cell Biol 161, 381–391. [DOI] [PMC free article] [PubMed] [Google Scholar]
  4. Arendt D, Bertucci PY, Achim K, Musser JM (2019). Evolution of neuronal types and families. Curr Opin Neurobiol 56, 144–152. [DOI] [PMC free article] [PubMed] [Google Scholar]
  5. Arendt T (2003). Synaptic plasticity and cell-cycle activation in neurons are alternative effector pathways: The “Dr. Jekyll and Mr. Hyde concept” of Alzheimer's disease or the yin and yang of neuroplasticity. Prog Neurobiol 71, 83–248. [DOI] [PubMed] [Google Scholar]
  6. Arthur WT, Quilliam LA, Cooper JA (2004). Rap1 promotes cell spreading by localizing Rac guanine nucleotide exchange factors. J Cell Biol 167, 111–122. [DOI] [PMC free article] [PubMed] [Google Scholar]
  7. Athamneh AIM, He Y, Lamoureux P, Fix L, Suter DM, Miller KE (2017). Neurite elongation is highly correlated with bulk forward translocation of microtubules. Sci Rep 7, 7292. [DOI] [PMC free article] [PubMed] [Google Scholar]
  8. Avasthi P, Marshall WF (2012). Stages of ciliogenesis and regulation of ciliary length. Differentiation 83, S30–S42. [DOI] [PMC free article] [PubMed] [Google Scholar]
  9. Baas PW (1999). Microtubules and neuronal polarity: Lessons from mitosis. Neuron 22, 23–31. [DOI] [PubMed] [Google Scholar]
  10. Bamburg JR, Bray D, Chapman K (1986). Assembly of microtubules at the tip of growing axons. Nature 321, 788–790. [DOI] [PubMed] [Google Scholar]
  11. Beljan S, Herak Bosnar M, Cetkovic H (2020). Rho family of Ras-like GTPases in early-branching animals. Cells 9, 2279. [DOI] [PMC free article] [PubMed] [Google Scholar]
  12. Blazejewski SM, Bennison SA, Liu X, Toyo-Oka K (2021). High-throughput kinase inhibitor screening reveals roles for Aurora and Nuak kinases in neurite initiation and dendritic branching. Sci Rep 11, 8156. [DOI] [PMC free article] [PubMed] [Google Scholar]
  13. Boto L (2010). Horizontal gene transfer in evolution: Facts and challenges. Proc Biol Sci 277, 819–827. [DOI] [PMC free article] [PubMed] [Google Scholar]
  14. Bray D, White JG (1988). Cortical flow in animal cells. Science 239, 883–888. [DOI] [PubMed] [Google Scholar]
  15. Bremer N, Tria FDK, Skejo J, Martin WF (2023). The ancestral mitotic state: Closed orthomitosis with intranuclear spindles in the syncytial last eukaryotic common ancestor. Genome Biol Evol 15, evad016. [DOI] [PMC free article] [PubMed] [Google Scholar]
  16. Bridgman PC, Dave S, Asnes CF, Tullio AN, Adelstein RS (2001). Myosin IIB is required for growth cone motility. J Neurosci 21, 6159–6169. [DOI] [PMC free article] [PubMed] [Google Scholar]
  17. Brunet T, Booth DS (2023). Cell polarity in the protist-to-animal transition. Curr Top Dev Biol 154, 1–36. [DOI] [PubMed] [Google Scholar]
  18. Budd GE, Jensen S (2017). The origin of the animals and a “Savannah” hypothesis for early bilaterian evolution. Biol Rev Camb Philos Soc 92, 446–473. [DOI] [PubMed] [Google Scholar]
  19. Burkhardt P (2022). Ctenophores and the evolutionary origin(s) of neurons. Trends Neurosci 45, 878–880. [DOI] [PubMed] [Google Scholar]
  20. Burkhardt P, Colgren J, Medhus A, Digel L, Naumann B, Soto-Angel JJ, Nordmann EL, Sachkova MY, Kittelmann M (2023). Syncytial nerve net in a ctenophore adds insights on the evolution of nervous systems. Science 380, 293–297. [DOI] [PMC free article] [PubMed] [Google Scholar]
  21. Burki F, Roger AJ, Brown MW, Simpson AGB (2020). The new tree of eukaryotes. Trends Ecol Evol 35, 43–55. [DOI] [PubMed] [Google Scholar]
  22. Burton K, Taylor DL (1997). Traction forces of cytokinesis measured with optically modified elastic substrata. Nature 385, 450–454. [DOI] [PubMed] [Google Scholar]
  23. Burute M, Jansen KI, Mihajlovic M, Vermonden T, Kapitein LC (2022). Local changes in microtubule network mobility instruct neuronal polarization and axon specification. Sci Adv 8, eabo2343. [DOI] [PMC free article] [PubMed] [Google Scholar]
  24. Caetano-Anolles G, Yafremava LS, Gee H, Caetano-Anolles D, Kim HS, Mittenthal JE (2009). The origin and evolution of modern metabolism. Int J Biochem Cell Biol 41, 285–297. [DOI] [PubMed] [Google Scholar]
  25. Carr M, Leadbeater BS, Hassan R, Nelson M, Baldauf SL (2008). Molecular phylogeny of choanoflagellates, the sister group to Metazoa. Proc Natl Acad Sci USA 105, 16641–16646. [DOI] [PMC free article] [PubMed] [Google Scholar]
  26. Carvalho-Santos Z, Azimzadeh J, Pereira-Leal JB, Bettencourt-Dias M (2011). Evolution: Tracing the origins of centrioles, cilia, and flagella. J Cell Biol 194, 165–175. [DOI] [PMC free article] [PubMed] [Google Scholar]
  27. Chen WS, Chen YJ, Huang YA, Hsieh BY, Chiu HC, Kao PY, Chao CY, Hwang E (2017). Ran-dependent TPX2 activation promotes acentrosomal microtubule nucleation in neurons. Sci Rep 7, 42297. [DOI] [PMC free article] [PubMed] [Google Scholar]
  28. Condic ML, Letourneau PC (1997). Ligand-induced changes in integrin expression regulate neuronal adhesion and neurite outgrowth. Nature 389, 852–856. [DOI] [PubMed] [Google Scholar]
  29. Cooper LN, Cretekos CJ, Sears KE (2012). The evolution and development of mammalian flight. Wiley Interdiscip Rev Dev Biol 1, 773–779. [DOI] [PubMed] [Google Scholar]
  30. Craig EM, Oprea F, Alam S, Grodsky A, Miller KE (2024). A simple active fluid model unites cytokinesis, cell crawling, and axonal outgrowth. Front Cell Dev Biol 12, 1491429. [DOI] [PMC free article] [PubMed] [Google Scholar]
  31. Cram EJ, Shang H, Schwarzbauer JE (2006). A systematic RNA interference screen reveals a cell migration gene network in C. elegans. J Cell Sci 119, 4811–4818. [DOI] [PubMed] [Google Scholar]
  32. Cross RA, McAinsh A (2014). Prime movers: The mechanochemistry of mitotic kinesins. Nat Rev Mol Cell Biol 15, 257–271. [DOI] [PubMed] [Google Scholar]
  33. Dao VT, Dupuy AG, Gavet O, Caron E, de Gunzburg J (2009). Dynamic changes in Rap1 activity are required for cell retraction and spreading during mitosis. J Cell Sci 122, 2996–3004. [DOI] [PubMed] [Google Scholar]
  34. DeBiasio RL, LaRocca GM, Post PL, Taylor DL (1996). Myosin II transport, organization, and phosphorylation: Evidence for cortical flow/solation-contraction coupling during cytokinesis and cell locomotion. Mol Biol Cell 7, 1259–1282. [DOI] [PMC free article] [PubMed] [Google Scholar]
  35. del Castillo U, Winding M, Lu W, Gelfand VI (2015). Interplay between kinesin-1 and cortical dynein during axonal outgrowth and microtubule organization in Drosophila neurons. Elife 4, e10140. [DOI] [PMC free article] [PubMed] [Google Scholar]
  36. Dix CL, Matthews HK, Uroz M, McLaren S, Wolf L, Heatley N, Win Z, Almada P, Henriques R, Boutros M, et al. (2018). The role of mitotic cell-substrate adhesion re-modeling in animal cell division. Dev Cell 45, 132–145.e3. [DOI] [PubMed] [Google Scholar]
  37. Dobzhansky T (1964). Biology, molecular and organismic. Am Zool 4, 443–452. [DOI] [PubMed] [Google Scholar]
  38. Dobzhansky T (1973). Nothing in biology makes sense except in the light of evolution. Am Biol Teach 35, 125–129. [Google Scholar]
  39. Dogterom M, Koenderink GH (2019). Actin-microtubule crosstalk in cell biology. Nat Rev Mol Cell Biol 20, 38–54. [DOI] [PubMed] [Google Scholar]
  40. Dubey S, Bhembre N, Bodas S, Veer S, Ghose A, Callan-Jones A, Pullarkat P (2020). The axonal actin-spectrin lattice acts as a tension buffering shock absorber. Elife 9, e51772. [DOI] [PMC free article] [PubMed] [Google Scholar]
  41. Eggert US, Mitchison TJ, Field CM (2006). Animal cytokinesis: From parts list to mechanisms. Annu Rev Biochem 75, 543–566. [DOI] [PubMed] [Google Scholar]
  42. Eichinger L, Pachebat JA, Glockner G, Rajandream MA, Sucgang R, Berriman M, Song J, Olsen R, Szafranski K, Xu Q, et al. (2005). The genome of the social amoeba Dictyostelium discoideum. Nature 435, 43–57. [DOI] [PMC free article] [PubMed] [Google Scholar]
  43. Failler M, Giro-Perafita A, Owa M, Srivastava S, Yun C, Kahler DJ, Unutmaz D, Esteva FJ, Sánchez I, Dynlacht BD (2021). Whole-genome screen identifies diverse pathways that negatively regulate ciliogenesis. Mol Biol Cell 32, 169–185. [DOI] [PMC free article] [PubMed] [Google Scholar]
  44. Falk J, Boubakar L, Castellani V (2019). Septin functions during neuro-development, a yeast perspective. Curr Opin Neurobiol 57, 102–109. [DOI] [PubMed] [Google Scholar]
  45. Falnikar A, Tole S, Liu M, Liu JS, Baas PW (2013). Polarity in migrating neurons is related to a mechanism analogous to cytokinesis. Curr Biol 23, 1215–1220. [DOI] [PMC free article] [PubMed] [Google Scholar]
  46. Filic V, Mijanovic L, Putar D, Talajic A, Cetkovic H, Weber I (2021). Regulation of the actin cytoskeleton via Rho GTPase signalling in Dictyostelium and mammalian cells: A parallel slalom. Cells 10, 1592. [DOI] [PMC free article] [PubMed] [Google Scholar]
  47. Fort P (2017). Rho signaling: An historical and evolutionary perspective. In: Rho Signaling: Molecular Biology in Health and Disease, ed. Fort, P., Blangy, A. Singapore: World Scientific Publishing, 3–18. [Google Scholar]
  48. Frank CL, Tsai LH (2009). Alternative functions of core cell-cycle regulators in neuronal migration, neuronal maturation, and synaptic plasticity. Neuron 62, 312–326. [DOI] [PMC free article] [PubMed] [Google Scholar]
  49. Frische EW, Zwartkruis FJ (2010). Rap1, a mercenary among the Ras-like GTPases. Dev Biol 340, 1–9. [DOI] [PubMed] [Google Scholar]
  50. Fritz-Laylin LK (2020). The evolution of animal cell motility. Curr Biol 30, R477–R482. [DOI] [PubMed] [Google Scholar]
  51. Fritz-Laylin LK, Lord SJ, Mullins RD (2017). WASP and SCAR are evolutionarily conserved in actin-filled pseudopod-based motility. J Cell Biol 216, 1673–1688. [DOI] [PMC free article] [PubMed] [Google Scholar]
  52. Gardiner J, Marc J (2011). Arabidopsis thaliana, a plant model organism for the neuronal microtubule cytoskeleton? J Exp Bot 62, 89–97. [DOI] [PubMed] [Google Scholar]
  53. Garg SG, Martin WF (2016). Mitochondria, the cell cycle, and the origin of sex via a syncytial eukaryote common ancestor. Genome Biol Evol 8, 1950–1970. [DOI] [PMC free article] [PubMed] [Google Scholar]
  54. Giaimo S (2023). On citing Dobzhansky about the significance of evolution to biology. Integr Org Biol 5, obac047. [DOI] [PMC free article] [PubMed] [Google Scholar]
  55. Gloerich M, Bos JL (2011). Regulating Rap small G-proteins in time and space. Trends Cell Biol 21, 615–623. [DOI] [PubMed] [Google Scholar]
  56. Glotzer M (2005). The molecular requirements for cytokinesis. Science 307, 1735–1739. [DOI] [PubMed] [Google Scholar]
  57. Gornstein E, Schwarz TL (2014). The paradox of paclitaxel neurotoxicity: Mechanisms and unanswered questions. Neuropharmacology 76 Pt A, 175–183. [DOI] [PubMed] [Google Scholar]
  58. Guan CB, Xu HT, Jin M, Yuan XB, Poo MM (2007). Long-range Ca2+ signaling from growth cone to soma mediates reversal of neuronal migration induced by slit-2. Cell 129, 385–395. [DOI] [PubMed] [Google Scholar]
  59. Hall A, Lalli G (2010). Rho and Ras GTPases in axon growth, guidance, and branching. Cold Spring Harb Perspect Biol 2, a001818. [DOI] [PMC free article] [PubMed] [Google Scholar]
  60. Haque SA, Hasaka TP, Brooks AD, Lobanov PV, Baas PW (2004). Monastrol, a prototype anti-cancer drug that inhibits a mitotic kinesin, induces rapid bursts of axonal outgrowth from cultured postmitotic neurons. Cell Motil Cytoskeleton 58, 10–16. [DOI] [PubMed] [Google Scholar]
  61. He M, Zhang ZH, Guan CB, Xia D, Yuan XB (2010). Leading tip drives soma translocation via forward F-actin flow during neuronal migration. J Neurosci 30, 10885–10898. [DOI] [PMC free article] [PubMed] [Google Scholar]
  62. Heuser T, Raytchev M, Krell J, Porter ME, Nicastro D (2009). The dynein regulatory complex is the nexin link and a major regulatory node in cilia and flagella. J Cell Biol 187, 921–933. [DOI] [PMC free article] [PubMed] [Google Scholar]
  63. Hoffman HK, Prekeris R (2022). Roles of the actin cytoskeleton in ciliogenesis. J Cell Sci 135, jcs259030. [DOI] [PMC free article] [PubMed] [Google Scholar]
  64. Hutchins BI, Wray S (2014). Capture of microtubule plus-ends at the actin cortex promotes axophilic neuronal migration by enhancing microtubule tension in the leading process. Front Cell Neurosci 8, 400. [DOI] [PMC free article] [PubMed] [Google Scholar]
  65. Jaskiewicz A, Pajak B, Orzechowski A (2018). The many faces of Rap1 GTPase. Int J Mol Sci 19, 2848. [DOI] [PMC free article] [PubMed] [Google Scholar]
  66. Jordan SN, Canman JC (2012). Rho GTPases in animal cell cytokinesis: An occupation by the one percent. Cytoskeleton 69, 919–930. [DOI] [PMC free article] [PubMed] [Google Scholar]
  67. Joseph NF, Swarnkar S, Puthanveettil SV (2021). Double duty: Mitotic kinesins and their post-mitotic functions in neurons. Cells 10, 136. [DOI] [PMC free article] [PubMed] [Google Scholar]
  68. Kang S, Tice AK, Stairs CW, Jones RE, Lahr DJG, Brown MW (2021). The integrin-mediated adhesive complex in the ancestor of animals, fungi, and amoebae. Curr Biol 31, 3073–3085.e3. [DOI] [PubMed] [Google Scholar]
  69. Khan S, Scholey JM (2018). Assembly, Functions and evolution of Archaella, Flagella, and Cilia. Curr Biol 28, R278–R292. [DOI] [PubMed] [Google Scholar]
  70. Koc I, Caetano-Anolles G (2017). The natural history of molecular functions inferred from an extensive phylogenomic analysis of gene ontology data. PLoS ONE 12, e0176129. [DOI] [PMC free article] [PubMed] [Google Scholar]
  71. Koizumi K, Higashida H, Yoo S, Islam MS, Ivanov AI, Guo V, Pozzi P, Yu SH, Rovescalli AC, Tang D, et al. (2007). RNA interference screen to identify genes required for Drosophila embryonic nervous system development. Proc Natl Acad Sci USA 104, 5626–5631. [DOI] [PMC free article] [PubMed] [Google Scholar]
  72. Kollmar M (2016). Fine-tuning motile cilia and flagella: Evolution of the dynein motor proteins from plants to humans at high resolution. Mol Biol Evol 33, 3249–3267. [DOI] [PMC free article] [PubMed] [Google Scholar]
  73. Kristan WB, Jr. (2016). Early evolution of neurons. Curr Biol 26, R949–R954. [DOI] [PubMed] [Google Scholar]
  74. Kuhn TB, Meberg PJ, Brown MD, Bernstein BW, Minamide LS, Jensen JR, Okada K, Soda EA, Bamburg JR (2000). Regulating actin dynamics in neuronal growth cones by ADF/cofilin and rho family GTPases. J Neurobiol 44, 126–144. [PubMed] [Google Scholar]
  75. Lafaurie-Janvore J, Maiuri P, Wang I, Pinot M, Manneville JB, Betz T, Balland M, Piel M (2013). ESCRT-III assembly and cytokinetic abscission are induced by tension release in the intercellular bridge. Science 339, 1625–1629. [DOI] [PubMed] [Google Scholar]
  76. Lamoureux P, Buxbaum RE, Heidemann SR (1989). Direct evidence that growth cones pull. Nature 340, 159–162. [DOI] [PubMed] [Google Scholar]
  77. Lamoureux PL, O'Toole MR, Heidemann SR, Miller KE (2010). Slowing of axonal regeneration is correlated with increased axonal viscosity during aging. BMC Neurosci 11, 140. [DOI] [PMC free article] [PubMed] [Google Scholar]
  78. Livanos P, Muller S (2019). Division plane establishment and cytokinesis. Annu Rev Plant Biol 70, 239–267. [DOI] [PubMed] [Google Scholar]
  79. Loncle N, Agromayor M, Martin-Serrano J, Williams DW (2015). An ESCRT module is required for neuron pruning. Sci Rep 5, 8461. [DOI] [PMC free article] [PubMed] [Google Scholar]
  80. Louka P, Vasudevan KK, Guha M, Joachimiak E, Wloga D, Tomasi RF-X, Baroud CN, Dupuis-Williams P, Galati DF, Pearson CG (2018). Proteins that control the geometry of microtubules at the ends of cilia. J Cell Biol 217, 4298–4313. [DOI] [PMC free article] [PubMed] [Google Scholar]
  81. Lu W, Gelfand VI (2017). Moonlighting motors: Kinesin, dynein, and cell polarity. Trends Cell Biol 27, 505–514. [DOI] [PMC free article] [PubMed] [Google Scholar]
  82. Miller KE, Sheetz MP (2006). Direct evidence for coherent low velocity axonal transport of mitochondria. J Cell Biol 173, 373–381. [DOI] [PMC free article] [PubMed] [Google Scholar]
  83. Miller KE, Suter DM (2018). An integrated cytoskeletal model of neurite outgrowth. Front Cell Neurosci 12, 447. [DOI] [PMC free article] [PubMed] [Google Scholar]
  84. Minegishi T, Uesugi Y, Kaneko N, Yoshida W, Sawamoto K, Inagaki N (2018). Shootin1b mediates a mechanical clutch to produce force for neuronal migration. Cell Rep 25, 624–639.e6. [DOI] [PubMed] [Google Scholar]
  85. Mori D, Yamada M, Mimori-Kiyosue Y, Shirai Y, Suzuki A, Ohno S, Saya H, Wynshaw-Boris A, Hirotsune S (2009). An essential role of the aPKC-Aurora A-NDEL1 pathway in neurite elongation by modulation of microtubule dynamics. Nat Cell Biol 11, 1057–1068. [DOI] [PubMed] [Google Scholar]
  86. Muller S, Jurgens G (2016). Plant cytokinesis-No ring, no constriction but centrifugal construction of the partitioning membrane. Semin Cell Dev Biol 53, 10–18. [DOI] [PubMed] [Google Scholar]
  87. Myers KA, Baas PW (2007). Kinesin-5 regulates the growth of the axon by acting as a brake on its microtubule array. J Cell Biol 178, 1081–1091. [DOI] [PMC free article] [PubMed] [Google Scholar]
  88. Ng SY, Lee AYW (2019). Traumatic brain injuries: Pathophysiology and potential therapeutic targets. Front Cell Neurosci 13, 528. [DOI] [PMC free article] [PubMed] [Google Scholar]
  89. Nguyen MM, McCracken CJ, Milner ES, Goetschius DJ, Weiner AT, Long MK, Michael NL, Munro S, Rolls MM (2014). Gamma-tubulin controls neuronal microtubule polarity independently of Golgi outposts. Mol Biol Cell 25, 2039–2050. [DOI] [PMC free article] [PubMed] [Google Scholar]
  90. O'Malley MA, Leger MM, Wideman JG, Ruiz-Trillo I (2019). Concepts of the last eukaryotic common ancestor. Nat Ecol Evol 3, 338–344. [DOI] [PubMed] [Google Scholar]
  91. Ou G, Scholey JM (2022). Motor cooperation during mitosis and ciliogenesis. Annu Rev Cell Dev Biol 38, 49–74. [DOI] [PubMed] [Google Scholar]
  92. Ozugergin I, Piekny A (2021). Complementary functions for the Ran gradient during division. Small GTPases 12, 177–187. [DOI] [PMC free article] [PubMed] [Google Scholar]
  93. Pandey DK, Chaudhary B (2017). Evolutionary expansion and structural functionalism of the ancient family of profilin proteins. Gene 626, 70–86. [DOI] [PubMed] [Google Scholar]
  94. Patra S, Jülicher F, Chowdhury D (2020). Flagellar length control in biflagellate eukaryotes: Time-of-flight, shared pool, train traffic and cooperative phenomena. New J Phys 22, 083009. [Google Scholar]
  95. Patterson C (1988). Homology in classical and molecular biology. Mol Biol Evol 5, 603–625. [DOI] [PubMed] [Google Scholar]
  96. Paulin MG, Cahill-Lane J (2021). Events in early nervous system evolution. Top Cogn Sci 13, 25–44. [DOI] [PubMed] [Google Scholar]
  97. Pollard TD, O'Shaughnessy B. (2019). Molecular mechanism of cytokinesis. Annu Rev Biochem 88, 661–689. [DOI] [PMC free article] [PubMed] [Google Scholar]
  98. Pollarolo G, Schulz JG, Munck S, Dotti CG (2011). Cytokinesis remnants define first neuronal asymmetry in vivo. Nat Neurosci 14, 1525–1533. [DOI] [PubMed] [Google Scholar]
  99. Prosser SL, Pelletier L (2017). Mitotic spindle assembly in animal cells: A fine balancing act. Nat Rev Mol Cell Biol 18, 187–201. [DOI] [PubMed] [Google Scholar]
  100. Qiu XM, Sun YY, Ye XY, Li ZG (2019). Signaling role of glutamate in plants. Front Plant Sci 10, 1743. [DOI] [PMC free article] [PubMed] [Google Scholar]
  101. Radler MR, Liu X, Peng M, Doyle B, Toyo-Oka K, Spiliotis ET (2023). Pyramidal neuron morphogenesis requires a septin network that stabilizes filopodia and suppresses lamellipodia during neurite initiation. Curr Biol 33, 434–448.e8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  102. Ray K, Perez SE, Yang Z, Xu J, Ritchings BW, Steller H, Goldstein LS (1999). Kinesin-II is required for axonal transport of choline acetyltransferase in Drosophila. J Cell Biol 147, 507–518. [DOI] [PMC free article] [PubMed] [Google Scholar]
  103. Reinsch SS, Mitchison TJ, Kirschner M (1991). Microtubule polymer assembly and transport during axonal elongation. J Cell Biol 115, 365–379. [DOI] [PMC free article] [PubMed] [Google Scholar]
  104. Reynolds MJ, Phetruen T, Fisher RL, Chen K, Pentecost BT, Gomez G, Ounjai P, Sui H (2018). The developmental process of the growing motile ciliary tip region. Sci Rep 8, 7977. [DOI] [PMC free article] [PubMed] [Google Scholar]
  105. Richards TA, Cavalier-Smith T (2005). Myosin domain evolution and the primary divergence of eukaryotes. Nature 436, 1113–1118. [DOI] [PubMed] [Google Scholar]
  106. Rivera E, Cianfrocca M (2015). Overview of neuropathy associated with taxanes for the treatment of metastatic breast cancer. Cancer Chemother Pharmacol 75, 659–670. [DOI] [PMC free article] [PubMed] [Google Scholar]
  107. Roberts AJ (2018). Emerging mechanisms of dynein transport in the cytoplasm versus the cilium. Biochem Soc Trans 46, 967–982. [DOI] [PMC free article] [PubMed] [Google Scholar]
  108. Roberts TM, Stewart M (2000). Acting like actin. The dynamics of the nematode major sperm protein (msp) cytoskeleton indicate a push–pull mechanism for amoeboid cell motility. J Cell Biol 149, 7–12. [DOI] [PMC free article] [PubMed] [Google Scholar]
  109. Robinson DG, Draguhn A (2021). Plants have neither synapses nor a nervous system. J Plant Physiol 263, 153467. [DOI] [PubMed] [Google Scholar]
  110. Roossien DH, Lamoureux P, Miller KE (2014). Cytoplasmic dynein pushes the cytoskeletal meshwork forward during axonal elongation. J Cell Sci 127, 3593–3602. [DOI] [PubMed] [Google Scholar]
  111. Roossien DH, Lamoureux P, Van Vactor D, Miller KE (2013). Drosophila growth cones advance by forward translocation of the neuronal cytoskeletal meshwork in vivo. PLoS ONE 8, e80136. [DOI] [PMC free article] [PubMed] [Google Scholar]
  112. Rosa A, Vlassaks E, Pichaud F, Baum B (2015). Ect2/Pbl acts via Rho and polarity proteins to direct the assembly of an isotropic actomyosin cortex upon mitotic entry. Dev Cell 32, 604–616. [DOI] [PMC free article] [PubMed] [Google Scholar]
  113. Ryan JF, Chiodin M (2015). Where is my mind? How sponges and placozoans may have lost neural cell types. Philos Trans R Soc Lond B Biol Sci 370, 20150059. [DOI] [PMC free article] [PubMed] [Google Scholar]
  114. Sachkova MY (2024). Evolutionary origin of the nervous system from Ctenophora prospective. Evol Dev 26, e12472. [DOI] [PubMed] [Google Scholar]
  115. Sanchez-Huertas C, Freixo F, Viais R, Lacasa C, Soriano E, Luders J (2016). Noncentrosomal nucleation mediated by augmin organizes microtubules in post-mitotic neurons and controls axonal microtubule polarity. Nat Commun 7, 12187. [DOI] [PMC free article] [PubMed] [Google Scholar]
  116. Satir P, Christensen ST (2007). Overview of structure and function of mammalian cilia. Annu Rev Physiol 69, 377–400. [DOI] [PubMed] [Google Scholar]
  117. Schelski M, Bradke F (2022). Microtubule retrograde flow retains neuronal polarization in a fluctuating state. Sci Adv 8, eabo2336. [DOI] [PMC free article] [PubMed] [Google Scholar]
  118. Schultz DT, Haddock SHD, Bredeson JV, Green RE, Simakov O, Rokhsar DS (2023). Ancient gene linkages support ctenophores as sister to other animals. Nature 618, 110–117. [DOI] [PMC free article] [PubMed] [Google Scholar]
  119. Sebe-Pedros A, Grau-Bove X, Richards TA, Ruiz-Trillo I (2014). Evolution and classification of myosins, a paneukaryotic whole-genome approach. Genome Biol Evol 6, 290–305. [DOI] [PMC free article] [PubMed] [Google Scholar]
  120. Sebe-Pedros A, Roger AJ, Lang FB, King N, Ruiz-Trillo I (2010). Ancient origin of the integrin-mediated adhesion and signaling machinery. Proc Natl Acad Sci USA 107, 10142–10147. [DOI] [PMC free article] [PubMed] [Google Scholar]
  121. SenGupta S, Parent CA, Bear JE (2021). The principles of directed cell migration. Nat Rev Mol Cell Biol 22, 529–547. [DOI] [PMC free article] [PubMed] [Google Scholar]
  122. Shah B, Puschel AW (2016). Regulation of Rap GTPases in mammalian neurons. Biol Chem 397, 1055–1069. [DOI] [PubMed] [Google Scholar]
  123. Shekarabi M, Moore SW, Tritsch NX, Morris SJ, Bouchard JF, Kennedy TE (2005). Deleted in colorectal cancer binding netrin-1 mediates cell substrate adhesion and recruits Cdc42, Rac1, Pak1, and N-WASP into an intracellular signaling complex that promotes growth cone expansion. J Neurosci 25, 3132–3141. [DOI] [PMC free article] [PubMed] [Google Scholar]
  124. Simpson KJ, Selfors LM, Bui J, Reynolds A, Leake D, Khvorova A, Brugge JS (2008). Identification of genes that regulate epithelial cell migration using an siRNA screening approach. Nat Cell Biol 10, 1027–1038. [DOI] [PubMed] [Google Scholar]
  125. Sinclair R, Hsu G, Davis D, Chang M, Rosquete M, Iwasa JH, Drakakaki G (2022). Plant cytokinesis and the construction of new cell wall. FEBS Lett 596, 2243–2255. [DOI] [PubMed] [Google Scholar]
  126. Singh D, Odedra D, Dutta P, Pohl C (2019). Mechanical stress induces a scalable switch in cortical flow polarization during cytokinesis. J Cell Sci 132, jcs231357. [DOI] [PMC free article] [PubMed] [Google Scholar]
  127. Smith DH (2009). Stretch growth of integrated axon tracts: Extremes and exploitations. Prog Neurobiol 89, 231–239. [DOI] [PMC free article] [PubMed] [Google Scholar]
  128. Sobral AF, Chan FY, Norman MJ, Osorio DS, Dias AB, Ferreira V, Barbosa DJ, Cheerambathur D, Gassmann R, Belmonte JM, et al. (2021). Plastin and spectrin cooperate to stabilize the actomyosin cortex during cytokinesis. Curr Biol 31, 5415–5428.e10. [DOI] [PMC free article] [PubMed] [Google Scholar]
  129. Stern DL (2013). The genetic causes of convergent evolution. Nat Rev Genet 14, 751–764. [DOI] [PubMed] [Google Scholar]
  130. Strasser GA, Rahim NA, VanderWaal KE, Gertler FB, Lanier LM (2004). Arp2/3 is a negative regulator of growth cone translocation. Neuron 43, 81–94. [DOI] [PubMed] [Google Scholar]
  131. Sundermann F, Fernandez MP, Morgan RO (2016). An evolutionary roadmap to the microtubule-associated protein MAP Tau. BMC Genomics 17, 264. [DOI] [PMC free article] [PubMed] [Google Scholar]
  132. Swann M, Mitchison J (1958). The mechanism of cleavage in animal cells. Biol Rev 33, 103–135. [Google Scholar]
  133. Taneja N, Rathbun L, Hehnly H, Burnette DT (2019). The balance between adhesion and contraction during cell division. Curr Opin Cell Biol 56, 45–52. [DOI] [PMC free article] [PubMed] [Google Scholar]
  134. Tian D, Diao M, Jiang Y, Sun L, Zhang Y, Chen Z, Huang S, Ou G (2015). Anillin regulates neuronal migration and neurite growth by linking RhoG to the actin cytoskeleton. Curr Biol 25, 1135–1145. [DOI] [PubMed] [Google Scholar]
  135. Tofangchi A, Fan A, Saif MTA (2016). Mechanism of axonal contractility in embryonic drosophila motor neurons in vivo. Biophys J 111, 1519–1527. [DOI] [PMC free article] [PubMed] [Google Scholar]
  136. Tsuji T, Higashida C, Aoki Y, Islam MS, Dohmoto M, Higashida H (2012). Ect2, an ortholog of Drosophila Pebble, regulates formation of growth cones in primary cortical neurons. Neurochem Int 61, 854–858. [DOI] [PMC free article] [PubMed] [Google Scholar]
  137. Vasic V, Barth K, Schmidt MH (2019). Neurodegeneration and neuro-regeneration—Alzheimer's disease and stem cell therapy. Int J Mol Sci 20, 4272. [DOI] [PMC free article] [PubMed] [Google Scholar]
  138. Vassilopoulos S, Gibaud S, Jimenez A, Caillol G, Leterrier C (2019). Ultrastructure of the axonal periodic scaffold reveals a braid-like organization of actin rings. Nat Commun 10, 5803. [DOI] [PMC free article] [PubMed] [Google Scholar]
  139. Wagner E, Glotzer M (2016). Local RhoA activation induces cytokinetic furrows independent of spindle position and cell-cycle stage. J Cell Biol 213, 641–649. [DOI] [PMC free article] [PubMed] [Google Scholar]
  140. Wang D-Y, Melero C, Albaraky A, Atherton P, Jansen KA, Dimitracopoulos A, Dajas-Bailador F, Reid A, Franze K, Ballestrem C (2021). Vinculin is required for neuronal mechanosensing but not for axon outgrowth. Exp Cell Res 407, 112805. [DOI] [PubMed] [Google Scholar]
  141. Wang SS, Shultz JR, Burish MJ, Harrison KH, Hof PR, Towns LC, Wagers MW, Wyatt KD (2008). Functional trade-offs in white matter axonal scaling. J Neurosci 28, 4047–4056. [DOI] [PMC free article] [PubMed] [Google Scholar]
  142. Wheway G, Schmidts M, Mans DA, Szymanska K, Nguyen TT, Racher H, Phelps IG, Toedt G, Kennedy J, Wunderlich KA, et al. (2015). An siRNA-based functional genomics screen for the identification of regulators of ciliogenesis and ciliopathy genes. Nat Cell Biol 17, 1074–1087. [DOI] [PMC free article] [PubMed] [Google Scholar]
  143. Wickstead B, Gull K, Richards TA (2010). Patterns of kinesin evolution reveal a complex ancestral eukaryote with a multifunctional cytoskeleton. BMC Evol Biol 10, 110. [DOI] [PMC free article] [PubMed] [Google Scholar]
  144. Wilkes OR, Moore AW (2020). Distinct microtubule organizing center mechanisms combine to generate neuron polarity and arbor complexity. Front Cell Neurosci 14, 594199. [DOI] [PMC free article] [PubMed] [Google Scholar]
  145. Willems E, Dedobbeleer M, Digregorio M, Lombard A, Lumapat PN, Rogister B (2018). The functional diversity of Aurora kinases: A comprehensive review. Cell Div 13, 7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  146. Wills Z, Marr L, Zinn K, Goodman CS, Van Vactor D (1999). Profilin and the Abl tyrosine kinase are required for motor axon outgrowth in the Drosophila embryo. Neuron 22, 291–299. [DOI] [PubMed] [Google Scholar]
  147. Wylie SR, Chantler PD (2001). Separate but linked functions of conventional myosins modulate adhesion and neurite outgrowth. Nat Cell Biol 3, 88–92. [DOI] [PubMed] [Google Scholar]
  148. Xu K, Zhong G, Zhuang X (2013). Actin, spectrin, and associated proteins form a periodic cytoskeletal structure in axons. Science 339, 452–456. [DOI] [PMC free article] [PubMed] [Google Scholar]
  149. Yagisawa F, Fujiwara T, Takemura T, Kobayashi Y, Sumiya N, Miyagishima SY, Nakamura S, Imoto Y, Misumi O, Tanaka K, et al. (2020). ESCRT machinery mediates cytokinetic abscission in the unicellular red Alga Cyanidioschyzon merolae. Front Cell Dev Biol 8, 169. [DOI] [PMC free article] [PubMed] [Google Scholar]
  150. Yamada M, Goshima G (2017). Mitotic spindle assembly in land plants: Molecules and mechanisms. Biology 6, 6. [DOI] [PMC free article] [PubMed] [Google Scholar]

Articles from Molecular Biology of the Cell are provided here courtesy of American Society for Cell Biology

RESOURCES