Abstract
During development, neurites and synapses segregate into specific neighborhoods or layers within nerve bundles. The developmental programs guiding placement of neurites in specific layers, and hence their incorporation into specific circuits, are not well understood. We implement novel imaging methods and quantitative models to document the embryonic development of the C. elegans brain neuropil, and discover that differential adhesion mechanisms control precise placement of single neurites onto specific layers. Differential adhesion is orchestrated via developmentally-regulated expression of the IgCAM SYG-1, and its partner ligand SYG-2. Changes in SYG-1 expression across neuropil layers result in changes in adhesive forces, which sort SYG-2-expressing neurons. Sorting to layers occurs, not via outgrowth from the neurite tip, but via an alternate mechanism of retrograde zippering, involving interactions between neurite shafts. Our study indicates that biophysical principles from differential adhesion govern neurite placement and synaptic specificity in vivo in developing neuropil bundles.
Introduction
In brains, neuronal processes or neurites are segregated away from cell bodies into synapse-rich regions termed neuropils: dense structures of nerve cell extensions which commingle to form functional circuits (Maynard, 1962). In both vertebrates and invertebrates, placement of neurites into specific neighborhoods results in a laminar organization of the neuropil (Kolodkin and Hiesinger, 2017, Millard and Pecot, 2018, Nevin et al., 2008, Sanes and Zipursky, 2010, Schürmann, 2016, Soiza-Reilly and Commons, 2014, Xu et al., 2020, Zheng et al., 2018). The laminar organization segregates specific information streams within co-located circuits and is a major determinant of synaptic specificity and circuit connectivity (Baier, 2013, Gabriel et al., 2012, Missaire and Hindges, 2015, Moyle et al., 2021, Nguyen-Ba-Charvet and Chedotal, 2014, White et al., 1986, Xie et al., 2017). The developmental programs guiding placement of neurites along specific layers, and therefore circuit architecture within neuropils, are not well understood.
The precise placement of neurites within layered structures cannot be exclusively explained by canonical tip-directed outgrowth dynamics seen during developmental axon guidance (Tessier-Lavigne and Goodman, 1996). Instead, ordered placement of neurites resulting in layered patterns appears to occur via local cell-cell recognition events. These local cell-cell recognition events are modulated by the regulated expression of specific cell adhesion molecules (CAMs) that place neurites, and synapses, onto layers (Aurelio et al., 2003, Kim and Emmons, 2017, Lin et al., 1994, Petrovic and Hummel, 2008, Poskanzer et al., 2003, Schwabe et al., 2019). For example, studies in both the mouse and fly visual systems have revealed important roles for the regulated spatio-temporal expression of IgSF proteins, such as Sidekick, Dscam and Contactin, in targeting synaptic partner neurons to distinct layers or sublayers (Duan et al., 2014, Sanes and Zipursky, 2010, Tan et al., 2015, Yamagata and Sanes, 2008, Yamagata and Sanes, 2012). In C. elegans nerve bundles, neurite position is established and maintained via combinatorial, cell-specific expression of CAMs which mediate local neurite interactions and, when altered, lead to reproducible defects in neurite order within bundles (Kim and Emmons, 2017, Yip and Heiman, 2018). How these local, CAM-mediated interactions are regulated during development and how they result in the segregation of neurites into distinct layers, are not well understood.
Differential expression of cell adhesion molecules (CAMs) in cells from early embryos can drive their compartmentalization (Foty and Steinberg, 2005, Foty and Steinberg, 2013, Steinberg, 1962, Steinberg, 1963, Steinberg, 1970, Steinberg and Takeichi, 1994). This compartmentalization is in part regulated by biophysical principles of cell adhesion and surface tension which can give rise to tissue-level patterns and boundaries (Canty et al., 2017, Duguay et al., 2003, Erzberger et al., 2020, Foty et al., 1996, Schotz et al., 2008). For example, morphogenic developmental processes such as the patterning of the Drosophila germline and retina, the germ layer organization in zebrafish, and the sorting of motor neuron cell bodies into discrete nuclei in the ventral spinal cord can be largely explained via differential adhesion mechanisms and cortical contraction forces that contribute to cell sorting (Bao and Cagan, 2005, Bao et al., 2010, Godt and Tepass, 1998, Gonzalez-Reyes and St Johnston, 1998, Krieg et al., 2008, Price et al., 2002, Schotz et al., 2008). While differential adhesion is best understood in the context of the sorting of cell bodies in early embryogenesis, recent neurodevelopmental work supports that this mechanism influences sorting of neuronal processes in vivo as well. For example, differential expression of N-cadherin in the Drosophila visual system underlies the organization of synaptic-partnered neurites (Schwabe et al., 2019), where changes in the relative levels of N-cadherin are sufficient to determine placement of neurites within nerve bundles. Whether differential adhesion acts as an organizational principle within layered neuropils to regulate precise placement of neurites is not known.
Here we examine the developmental events that lead to placement of the AIB interneurons in the C. elegans nerve ring. The C. elegans nerve ring is a layered neuropil, with specific strata functionally segregating sensory information and motor outputs (Brittin et al., 2021, Moyle et al., 2021, White et al., 1986). A highly interconnected group of neurons referred to as the ‘rich club’ neurons, and which include interneuron AIB, functionally link distinct strata via precise placement of their neurites (Moyle et al., 2021, Sabrin et al., 2019, Towlson et al., 2013). Each AIB interneuron projects a single neurite, but segments of that single neurite are placed along distinct and specific layers in the C. elegans nerve ring (Fig. 1). The sequence of events resulting in the precise placement of AIB along defined nerve ring layers is unexplored, primarily owing to limitations in visualizing these events in vivo during embryonic stages.
We implemented novel imaging methods and deep learning approaches to yield high-resolution images of AIB during embryonic development. We discovered that placement of the AIB neurite depends on coordinated retrograde zippering mechanisms that align segments of the AIB neurite onto specific neuropil layers. Quantitative analysis and modeling of our in vivo imaging data revealed that biophysical principles of differential adhesion influence the observed retrograde zippering mechanisms that result in the sorting of the AIB neurite shaft onto distinct neuropil strata. We performed genetic screens to identify the molecular mechanisms underpinning these differential adhesion mechanisms, discovering a role for the IgCAM receptor syg-1 and its ligand, syg-2. We determined that syg-2 acts in AIB to instruct neurite placement across strata, while syg-1 is required non-cell autonomously, and at specific layers. Temporally-regulated expression of SYG-1 alters adhesive forces during development to sort segments of AIB onto specific layers. Ectopic expression of SYG-1 predictably affects differential adhesion across layers, repositioning the AIB neurite segments in a SYG-2-dependent manner. Our findings indicate that conserved principles of differential adhesion drive placement of neurites, and en passant synaptic specificity, in layered neuropils.
Results
Examination of AIB neurite architecture in the context of the nerve ring strata
First, we characterized the precise placement and synaptic distribution of the AIB neurite within the nerve ring neuropil strata. From electron microscopy connectome datasets and in-vivo imaging, we observed that the AIB neurite is unipolar, with its single neurite placed along two distinct and specific strata of the nerve ring (Fig. 1, Supplementary Movies 1-3).
Connectomic studies have identified AIB as a “rich club” neuron, a connector hub that links nodes in different functional modules of the brain (Sabrin et al., 2019, Towlson et al., 2013). We observed that AIB’s role as a connector hub was reflected in its architecture within the context of the layered nerve ring (Fig. 1K-N, Supplementary Fig. 1, Supplementary Fig. 2). For example, the AIB neurite segment in the posterior neighborhood is enriched in postsynaptic specializations, enabling it to receive sensory information from the adjacent sensory neurons that reside in that neighborhood (Supplementary Fig. 2; (White et al., 1983, White et al., 1986)). AIB relays this sensory information onto the anterior neighborhood, where the AIB neurite elaborates presynaptic specializations that innervate neighboring motor interneurons (Fig. 1D, E, I, J; Supplementary Fig. 2A-G, Supplementary Movie 5). The architecture of AIB is reminiscent of that of amacrine cells of the inner plexiform layer (Demb and Singer, 2012, Kolb, 1995, Kunzevitzky et al., 2013, Robles et al., 2013, Strettoi et al., 1992, Taylor and Smith, 2012), which serve as hubs by distributing their neurites and synapses across distinct and specific sublaminae of the vertebrate retina (Marc et al., 2014). We set out to examine how this architecture was laid out during development.
A retrograde zippering mechanism positions the AIB neurites in the anterior neighborhood during embryonic development
Prior to this study, using characterized cell-specific promoters, AIB could be visualized in larvae (Altun et al., 2008, Kuramochi and Doi, 2019) but not in embryos, when placement of AIB into the neighborhoods is specified (Supplementary Fig. 2A shows that by earliest postembryonic stage, L1, AIB neurite placement is complete, indicating placement occurs in the embryo). Moreover, continuous imaging of neurodevelopmental events in embryos, necessary for documenting AIB development, presents unique challenges regarding phototoxicity, speeds of image acquisition as it relates to embryonic movement, and the spatial resolution necessary to discern multiple closely-spaced neurites in the embryonic nerve ring (Wu et al., 2011). These barriers prevented documentation of AIB neurodevelopmental dynamics. To address these challenges, we first adapted a subtractive labeling strategy for sparse labeling and tracking of the AIB neurites in embryos (detailed in Methods, Supplementary Fig. 3A-C, Supplementary Movie 6, (Armenti et al., 2014)). We then adapted use of novel imaging methods, including dual-view light-sheet microscopy (diSPIM) (Kumar et al., 2014, Wu et al., 2013) for long-term isotropic imaging, and a triple-view line-scanning confocal imaging and deep-learning framework for enhanced resolution (Supplementary Fig. 3D,E; (Weigert et al., 2018, Wu et al., 2016); Wu et al., in prep).
Using these methods, we observed that the AIB neurites enter the nerve ring during the early embryonic elongation phase, ∼400 minutes post fertilization (m.p.f). The two AIB neurites then circumnavigate the nerve ring at opposite sides of the neuropil - both AIBL and AIBR project dorsally along the posterior neighborhood, on the left and right-hand sides of the worm, respectively (Fig. 2A,B). Simultaneous outgrowth of AIBL and AIBR neurons in the posterior neighborhood results in their neurites circumnavigating the ring and meeting at the dorsal midline of the nerve ring (Fig. 2C). Therefore, proper placement of the proximal segment of the AIB neurite in the posterior neighborhood occurs by AIB outgrowth along neurons in this neighborhood (Fig. 2A-F).
After meeting at the dorsal midline, instead of making a shift to the anterior neighborhood (as expected from the adult AIB neurite morphology – see Fig. 1M,N), the AIB neurites, surprisingly, continue growing along the posterior neighborhood (Fig. 2C,D; 480 m.p.f.). At approximately 505 m.p.f., each AIB neurite separates from the posterior neighborhood, starting at its growth cone, by growing tangentially to the posterior neighborhood (the posterior neighborhood is marked in Fig. 2A-G by its lateral counterpart, i.e., the other AIB, also see Supplementary Fig. 3I,J). The departure of the AIB growth cone occurs due to the AIB neurite growing in a straight path trajectory instead of following the bending nerve ring arc (Supplementary Fig. 3I,J). Because it has been documented that axons tend to ‘grow straight’ on surfaces lacking adhesive forces that instruct turning (Katz, 1985), we hypothesize that the observed exit (via ‘straight outgrowth’) could result from decreased adhesion to the posterior neighborhood (Supplementary Fig. 3I,J).
As it grows tangentially to the posterior neighborhood, the AIB neurite cuts orthogonally through the nerve ring and towards the anterior neighborhood (Supplementary Fig. 3I,J). Upon intersecting the anterior neighborhood, the AIB neurite reengages with the arc of the nerve ring. At this developmental stage (Fig 2I), only 3.9% of the AIB distal neurite is placed in the anterior neighborhood, with the remainder still being positioned in the posterior neighborhood and between neighborhoods. Following this, we observed a repositioning of the AIB neurite, but not via expected tip-directed fasciculation. Instead, the entire shaft of the distal AIB neurite was peeled away from the posterior neighborhood and repositioned onto the anterior neighborhood, starting from the tip of the neurite and progressively ‘zippering’ in a retrograde fashion towards the cell body (Fig. 2J,K; the overlap of the AIB neurite with the anterior neighborhood increased from 3.9% at 515 m.p.f. to 30.4% at 530 m.p.f. and 71.7% at 545 m.p.f.). Retrograde zippering stopped at the dorsal midline of the nerve ring (∼545 m.p.f.), resulting in the AIB architecture observed in postembryonic larval and adult stages (Fig. 2L). The progressive zippering of the AIB neurite onto the anterior neighborhood occurs concurrently with its separation from the posterior neighborhood (Fig. 2M), a converse process which we refer to as ‘unzippering’. The in vivo developmental dynamics of AIB repositioning, via retrograde zippering onto the anterior neighborhood, are reminiscent of dynamics observed in cultures of vertebrate neurons in which biophysical forces drive ‘zippering’ of neurite shafts, and the bundling of neurons (Smit et al., 2017).
Biophysical modeling of AIB developmental dynamics is consistent with differential adhesion leading to retrograde zippering
Dynamics of neurite shaft zippering have been previously documented (Barry et al., 2010, Voyiadjis et al., 2011) and modeled in tissue culture cells (Smit et al., 2017), and described as resulting from two main forces: neurite-neurite adhesion (represented as “S”) and mechanical tension (represented as “T”). To better understand the underlying mechanisms of AIB neurite placement, we analyzed AIB developmental dynamics in the context of these known forces that affect neurite zippering. In each neighborhood, the developing AIB neurite experiences two forces: (i) adhesion to neurons in that neighborhood and (ii) tension due to mechanical stretch. As the neurite zippers and unzippers, it has a velocity in the anterior neighborhood (a zippering velocity, vzip) and a velocity in the posterior neighborhood (an unzippering velocity, vunzip) (Fig. 3 and Supplementary Note). These velocities are related to the forces on the neurite by the following equation: where vzip = zippering velocity, vunzip = unzippering velocity, Santerior − Sposterior = difference between adhesive forces in the two neighborhoods, ΔT = Tanterior − Tposterior = difference between tension acting on the AIB neurite in the two neighborhoods, η = friction constant (see Supplementary Note) and θ = angle of the AIB neurite to the neighborhoods (Fig. 3 and Supplementary Note). Since the above biophysical equation defines the relationship between velocities and forces, we measured the velocities of the neurite from our time-lapse images to make predictions about the forces on the neurite.
Time lapse images and measurements of the developmental dynamics showed that zippering and unzippering takes place concurrently: zippering on to the anterior neighborhood and unzippering from the posterior one (Fig. 3C). Between 505-545 m.p.f., the average length of the AIB neurite that is placed in the anterior neighborhood (4.49 μm) by retrograde zippering is similar to the length that is unzippered from the posterior neighborhood (4.13 μm). Assuming, based on previous studies (Smit et al., 2017), that the tension forces are uniformly distributed along the neurite (and therefore ΔT = Tanterior − Tposterior = 0), zippering and unzippering velocities arise from a difference in adhesion (Santerior − Sposterior > 0) (see Supplementary Note).
Measurements of in vivo zippering velocities (Fig. 3D) support this hypothesis. Examination of our time-lapse images revealed that AIB neurite zippering onto the distal neighborhood takes place at higher velocities at later timepoints (with mean zippering velocity increasing from 0.09 μm/min at 515 mins to 0.34 μm/min at 530 mins) (Fig. 3D). This increased velocity, or acceleration, is a hallmark of force imbalance and consistent with a net increase in adhesive forces in the anterior neighborhood during the period in which zippering takes place. We note that retrograde zippering comes to a stop precisely at the dorsal midline, likely owing to the adhesion and tension forces on the neurite in the two neighborhoods balancing out at this point. Together, the developmental dynamics observed for AIB neurite placement are consistent with relative changes in adhesive forces between the neighborhoods. This suggests that dynamic mechanisms resulting in differential adhesion might govern AIB neurite repositioning.
SYG-1 and SYG-2 regulate precise placement of the AIB neurite to the anterior neighborhood
To identify the molecular mechanism underpinning differential adhesion for AIB neurodevelopment, we performed forward and reverse genetic screens. We discovered that loss-of-function mutant alleles of syg-1 and syg-2, which encode a pair of interacting Ig family cell adhesion molecules (IgCAMs), display significant defects in the placement of the AIB neurite. In wild type animals, we reproducibly observed complete overlap between the AIB distal neurite and neurons in the anterior neighborhood (Fig. 4A-D), consistent with EM characterizations (Supplementary Fig. 2A,B). In contrast, 76.3% of syg-1(ky652) animals and 60% of syg-2(ky671) animals (compared to 1.8% of wild type animals) showed regions of AIB detachment from neurons specifically in the anterior neighborhood (Fig. 4E-L; we note we did not detect defects in general morphology of the nerve ring, in the length of the AIB distal neurite, or in position of the AIB neurite in the posterior neighborhood for these mutants, Supplementary Fig. 4). In the syg-1(ky652) and syg-2(ky671) animals that exhibit defects in AIB neurite placement, we found that 21.49±4.0% and 17.33±3.9% (respectively) of the neurite segment in the anterior neighborhood is detached from the neighborhood (Fig. 4M). Our findings indicate that SYG-1 and SYG-2 are required for correct placement of AIB, specifically to the anterior neighborhood.
The IgCAMs SYG-1 and SYG-2 are a receptor-ligand pair that has been best characterized in the context of regulation of synaptogenesis in the C. elegans egg-laying circuit (Shen and Bargmann, 2003, Shen et al., 2004). SYG-1 (Rst and Kirre in Drosophila and Kirrel1/2/3 in mammals) and SYG-2 (Sns and Hibris in Drosophila, and Nephrin in mammals) orthologs also act as multipurpose adhesion molecules in varying conserved developmental contexts (Bao and Cagan, 2005, Bao et al., 2010, Chao and Shen, 2008, Garg et al., 2007, Neumann-Haefelin et al., 2010, Ozkan et al., 2014, Oztokatli et al., 2012, Serizawa et al., 2006, Shen and Bargmann, 2003, Shen et al., 2004, Strunkelnberg et al., 2001). In most of the characterized in vivo contexts, SYG-1 has been shown to act heterophilically with SYG-2 (Dworak et al., 2001, Ozkan et al., 2014, Shen et al., 2004). Consistent with SYG-1 and SYG-2 acting jointly for precise placement of the AIB neurite in vivo, we observed that a double mutant of the syg-1(ky652) and syg-2 (ky671) loss-of-function alleles did not enhance the AIB distal neurite placement defects as compared to either single mutant (Fig. 4N).
To determine the site of action of these two molecules, we expressed them cell-specifically in varying tissues. We observed that SYG-2 expression in AIB was sufficient to rescue the AIB distal neurite placement defects in the syg-2(ky671) mutants, suggesting that SYG-2 acts cell autonomously in AIB. While expression of wild-type SYG-1 (via a cosmid) rescued AIB neurite placement onto the anterior neighborhood, expression of SYG-1 using an AIB cell-specific promoter did not (Fig. 4N), consistent with SYG-1 regulating AIB neurite placement cell non-autonomously.
Increased local expression of SYG-1 in the anterior neighborhood coincides with zippering of the AIB neurite onto this neighborhood
To understand how SYG-1 coordinates placement of the AIB neurite, we examined the expression of transcriptional and translational reporters of SYG-1 in the nerve ring of wild type animals. In postembryonic, larva-stage animals (L3 and L4), we observed robust expression of the syg-1 transcriptional reporter in a banded pattern in ∼20 neurons present in the AIB posterior and anterior neighborhoods, with specific enrichment in the anterior neighborhood (Fig. 5A-E). The SYG-1 translational reporter, which allowed us to look at SYG-1 protein accumulation, also showed a similar expression pattern (Fig. 5F-I). To understand how SYG-1 regulates placement of the AIB neurite during development, we examined spatiotemporal dynamics of expression of SYG-1 during embryogenesis at the time of AIB neurite placement (400-550 m.p.f.) (Fig. 2), using both the transcriptional and translational syg-1 reporters.
Prior to 470 m.p.f., syg-1 reporter expression in the nerve ring was primarily restricted to a single band corresponding to the AIB posterior neighborhood (Fig. 5K,O,O’). This coincides with periods of outgrowth and placement of the AIB neurons in the posterior neighborhood. However, over the subsequent three hours of embryogenesis (470-650 m.p.f.), SYG-1 expression levels progressively increase in the anterior neighborhood while decreasing in the posterior neighborhood (Fig. 5L-R’, Supplementary Fig. 5, Supplementary Movie 7). The change in expression levels of SYG-1 across neighborhoods coincides with the relocation of the AIB neurite, from the posterior to the anterior neighborhood via retrograde zippering (Fig. 5S). Our observations in vivo are consistent with reported SYG-1 expression levels from embryonic transcriptomics data (Packer et al., 2019), which demonstrate similar SYG-1 expression changes in neurons in the anterior and posterior neighborhoods of AIB (Supplementary Table 1). The transcriptomic studies also demonstrate a ten-fold increase in SYG-2 transcript levels in AIB at the time in which the AIB neurite transitions between neighborhoods (and consistent with our findings that SYG-2 acts cell autonomously in AIB). Together with the biophysical analyses, our data suggests that spatiotemporal changes in SYG-1 and SYG-2 expression might result in changes in forces that drive differential adhesion of AIB neurites via retrograde zippering of their axon shafts.
Ectopic syg-1 expression is sufficient to alter placement of the AIB distal neurite
To test whether coincident SYG-1 expression in the anterior neighborhood was responsible for repositioning of AIB to that neighborhood, we set to identify and manipulate the sources of SYG-1 expression. We found that increases of SYG-1 in the anterior neighborhood were caused by (i) ingrowth of SYG-1-expressing neurons into the anterior neighborhood and (ii) onset of syg-1 expression in neurons of the anterior neighborhood (Supplementary Fig. 5). We observed strong and robust SYG-1 expression in the RIM neurons, the primary postsynaptic partner of AIB, both in embryonic and postembryonic stages, leading us to hypothesize that SYG-1 expression in RIM neurons contributes to AIB neurite placement (Supplementary Fig. 6). To test this hypothesis, we ablated RIM neurons. We observed that RIM ablations result in defects in AIB neurite placement which phenocopied those seen for syg-1 loss-of-function mutants (Supplementary Fig. 7). We also observed that expression of SYG-1 specifically in RIM and RIC neurons in syg-1(ky652) mutants was sufficient to position the AIB distal neurite along these neurons (Supplementary Fig. 7P-Q’).
If differences in SYG-1 expression level between the neighborhoods results in differential adhesion, and consequent relocation of the AIB distal neurite from the posterior to the anterior neighborhood, then purposefully altering these differences should predictably alter the position of the AIB neurite. We aimed to test this hypothesis by inverting the adhesion differential through the overexpression of SYG-1 in the posterior neighborhood (see Methods). Unlike wild type and syg-1 mutants (Fig. 6A-F, Supplementary Fig. 8A,B), animals with ectopic syg-1 expression in the posterior neighborhood displayed a gain-of-function phenotype, in which the AIB distal neurite remained partially positioned in the posterior neighborhood throughout postembryonic larval stages (Fig. 6G-J, Supplementary Fig. 8A,B). Importantly, these gain-of-function effects caused by ectopic expression of SYG-1 are not observed in a syg-2(ky671) mutant background, consistent with SYG-2 expression in AIB being required for AIB’s repositioning to the SYG-1 expressing layers. Our findings indicate that inverting the adhesion differential via enrichment of SYG-1 in the ‘wrong’ neighborhood predictably affects relocation of the AIB distal neurite in a way that is consistent with differential adhesion mechanisms.
We reasoned that if differential adhesion mechanisms were driving zippering of the AIB neurite during development, expression of the SYG-1 ectodomain would be sufficient to drive the ectopic interactions upon misexpression (Chao and Shen, 2008, Galletta et al., 2004, Gerke et al., 2003). Indeed, expression of the SYG-1 ectodomain in the posterior neighborhood resulted in gain-of-function phenotypes for AIB neurite placement, similar to those seen with misexpression of full-length SYG-1 (although penetrance of these effects was lower than that observed with full-length SYG-1). Consistent with the importance of adhesion-based mechanisms in the observed phenotypes, ectopic expression of the SYG-1 endodomain in the posterior neighborhood did not result in mislocalization of AIB (Supplementary Fig. 8A,B).
AIB neurite placement by retrograde zippering, and presynaptic assembly are coordinated during development
AIB displays a polarized distribution of pre- and postsynaptic specializations, and these specializations specifically localize to the neurite segments occupying the anterior and posterior neighborhoods, respectively. The placement of the AIB neurite in the anterior and posterior neighborhoods and its synaptic polarity underlies its role as a connector hub across layers (Sabrin et al., 2019, Towlson et al., 2013). To understand how the distribution of presynaptic specializations relates to the placement of the AIB neurite, we imaged the subcellular localization of presynaptic protein RAB-3 during AIB embryonic development. We observed that presynaptic proteins populate the AIB neurite starting from the tip towards the dorsal midline, in a retrograde pattern reminiscent of the retrograde zippering that places the AIB neurite in the anterior neighborhood (Fig. 7A-I). The timing of formation of presynaptic sites suggested that that the process of synaptogenesis closely followed the retrograde zippering mechanisms of AIB repositioning, indicating that zippering, and presynaptic assembly, coincide during development. Consistent with the importance of AIB neurite placement in the anterior neighborhood for correct synaptogenesis, we observed that in syg-1(ky652), RAB-3 signal was specifically and consistently reduced in regions of the AIB distal neurite incapable of repositioning to the anterior neighborhood (Supplementary Fig. 8C-N). Overall, our study identified a role for differential adhesion in regulating neurite placement via retrograde zippering, which in turn influences synaptic specificity onto target neurons (Fig. 7J).
Discussion
The precise assembly of the cellular architecture of AIB in the context of the layered nerve ring neuropil underwrites its role as a “rich-club” neuron. AIB was identified, through graph theory analyses, as a rich-club neuron (Towlson et al., 2013) - a connector hub with high betweeness centrality, which links nodes of the C. elegans neural networks with high efficiency. We observe that the AIB neurite segments are precisely placed on distinct functional layers of the nerve ring neuropil, and that the placement of these segments, in the context of the pre- and postsynaptic polarity of the neurite, enables AIB to receive inputs from one neighborhood and relay information to the other, thereby linking otherwise modular and functionally distinct layers. Our connectomic analyses and in vivo imaging reveal that these features of AIB architecture are stereotyped across examined C. elegans animals, even as early as the first larval stage, L1. They are also evolutionarily conserved in nematodes, as examination of AIB in the connectome of the nematode Pristionchus pacificus, which is separated from C. elegans by 100 million years of evolutionary time, revealed similar design principles (Hong et al., 2019). The architecture of AIB is reminiscent to that seen for other “nexus neurons” in layered neuropils, such as AII amacrine cells in the inner plexiform layer of the vertebrate retina (Marc et al., 2014). Like AIB, All amacrine cells receive inputs from one laminar neighborhood (rod bipolar axon terminals in “lower sublamina b”) and produce outputs onto a different neighborhood (ganglion cell dendrites in “sublamina a”) (Kolb, 1995, Strettoi et al., 1992). For these nexus neurons, as for AIB, the precise placement within neuropil layers is critical for their function and connectivity. We now demonstrate that for AIB, this precise placement is governed via differential adhesion instructed by the layer-specific expression of IgCAM SYG-1. Interestingly, other ‘rich-club’ neurons that emerged from connectomic studies, such as AVE and RIB, are also placed along SYG-1-expressing nerve ring layers, suggesting that similar, SYG-1 dependent and layer-specific mechanisms could underpin placement of these neurons.
Differential adhesion acts via retrograde zippering mechanisms to position AIB across multiple and specific layers. We established new imaging paradigms to document in vivo embryonic development of AIB, and observed that the sorting of its distal neurite segment onto the anterior neighborhood occurs, not via tip-directed fasciculation as we had anticipated, but via neurite-shaft retrograde zippering. Zippering mechanisms had been previously documented (Barry et al., 2010, Voyiadjis et al., 2011), and modeled, for tissue culture cells, where they were shown to act via biophysical forces of tension and adhesion (Smit et al., 2017). We now demonstrate that retrograde zippering also acts in vivo to precisely place segments of the AIB neurite in specific neuropil layers.
Retrograde zippering depends on differential adhesion across layers, and is instructed by the dynamic expression of SYG-1, and its interaction with the SYG-2 expressing AIB neurons. The observed role of SYG-1 in the nerve ring is reminiscent of the role of the SYG-1 and SYG-2 mammalian orthologs, Kirrel2 and Kirrel3, in axon sorting in the olfactory system (Serizawa et al., 2006), and consistent with observations in C. elegans that syg-2 loss of function mutants result in defasciculation defects of the HSNL axon (Shen et al., 2004). Our findings are also consistent with studies on the roles of SYG-1 and SYG-2 Drosophila orthologues, Hibris and Roughest, in tissue morphogenesis of the pupal eye (Bao and Cagan, 2005). In these studies, Hibris and Roughest were shown to instruct complex morphogenic patterns by following simple, adhesion and surface energy-based biophysical principles that contributed to preferential adhesion of specific cell types. We now demonstrate that similar biophysical principles of differential adhesion might help organize neurite placement within heterogeneous tissues, such as neuropils in nervous systems.
SYG-1 and SYG-2 coordinate developmental processes that result in synaptic specificity for the AIB interneurons. Synapses in C. elegans are formed en passant, or along the length of the axon, similar to how they are assembled in the CNS for many circuits (Jontes et al., 2000, Koestinger et al., 2017). Placement of neurites within layers therefore restrict synaptic partner choice. We examined how these events of placement, and synaptogenesis, were coordinated for the AIB interneurons and observed coincidence of presynaptic assembly and retrograde zippering of the AIB neurite. SYG-1 and SYG-2 were identified in C. elegans for their role in synaptic specificity (Shen and Bargmann, 2003, Shen et al., 2004), and the assembly of synaptic specializations can result in changes in the cytoskeletal structure and adhesion junctions (Missler et al., 2012). We hypothesize that coordinated assembly of synaptic sites during the process of retrograde zippering could provide forces that stabilize zippered stretches of the neurite. These could in turn “button” and fasten the AIB neurite onto the anterior layer, securing its relationship with its postsynaptic partner. Consistent with this hypothesis, we observe that ablation of one of its main postsynaptic partners, the RIM neurons, results in defects in AIB placement in the anterior neighborhood. Given the important role of adhesion molecules in coordinating cell-cell interactions and synaptogenesis (Sanes and Zipursky, 2010, Sanes and Zipursky, 2020, Tan et al., 2015, Yamagata and Sanes, 2008, Yamagata and Sanes, 2012), we speculate that adhesion molecules involved in synaptogenesis and neurite placement within layered neuropils might similarly act to coordinate differential adhesion and synaptogenesis onto target neurons.
Zippering mechanisms via affinity-mediated adhesion might help instruct neighborhood coherence while preserving ‘fluid’, or transient interactions among neurites within neuropil structures. Analysis of connectome data and examination of neuronal adjacencies within the nerve ring neuropil revealed that contact profiles for single neurons vary across animals indicative of fluid or transient interactions during development (Moyle et al., 2021). Yet neuropils have a stereotyped and layered architecture encompassing specific circuits. We hypothesize that dynamic expression of adhesion molecules help preserve tissue organization in tangled neuropils via the creation of affinity relationships of relative strengths. These relationships, in the context of outgrowth decisions of single neurites, would contribute to the sorting of neurites onto specific strata. We propose that sorting of neurite into strata would happen through biophysical interactions not unlike those reported for morphogenic events in early embryos and occurring via differential adhesion (Steinberg, 1962, Foty and Steinberg, Steinberg and Gilbert, 2004). Spatiotemporally restricted expression of CAMs in layers, as we observe for SYG-1 and has been observed for other CAMs in layered neuropils (Sanes and Zipursky, 2010, Sanes and Zipursky, 2020, Tan et al., 2015, Yamagata and Sanes, 2008, Yamagata and Sanes, 2012) would then result in dynamic affinity-mediated relationships that preserve neighborhood coherence in the context of ‘fluid’, or transient interactions among neurites within the neuropil structures.
Methods
Materials Availability
Plasmids and worm lines generated in this study are available upon request (see Supplementary Tables 2 and 3 for details).
Data Availability
The original/source data generated or analyzed during this study are available from the corresponding author upon request.
Code Availability
From previously determined adjacencies (Brittin et al., 2018, Brittin et al., 2021, Witvliet et al., 2020), cosine similarities were calculated in Excel, using the formula described in Methods. For computing binary connection matrices for centrality analysis (detailed in Methods below). we used the function “betweenness_bin.m” in the Brain Connectivity Toolbox (Rubinov and Sporns) of MATLAB2020.
Maintenance of C. elegans strains
C. elegans strains were raised at 20°C using OP50 Escherichia coli seeded on NGM plates. N2 Bristol is the wild-type reference strain used. Plasmids and transgenic strains generated and used in this study (Supplementary Tables 2 and 3) are available upon request.
Molecular biology and generation of transgenic lines
We used Gibson Assembly (New England Biolabs) or the Gateway system (Invitrogen) to make plasmids (Supplementary Table 3) used for generating transgenic C. elegans strains (Supplementary Table 2). Detailed cloning information or plasmid maps will be provided upon request. Transgenic strains were generated via microinjection with the construct of interest at 2-100 ng/uL by standard techniques (Mello and Fire). Co-injection markers unc-122p: GFP or unc-122p: RFP were used.
We generated the syg-1 transcriptional reporter (Fig. 5, Supplementary Fig. 5) by fusing membrane-targeted PH:GFP to a 3.5 kb syg-1 promoter region as described (Schwarz et al., 2009). The translational reporter was generated by fusing a GFP-tagged syg-1b cDNA using the same promoter (Fig. 5). For cell-specific SYG-1 expression, full length SYG-1, SYG-1 ecto (extracellular +TM domain - amino acids 1-574, (Chao and Shen, 2008)) or SYG-1 endo (signal peptide+TM domain+cytoplasmic domain – amino acids 1-31+526-574) were used.
For cell-specific labeling and expression in larvae, we used an inx-1 promoter for AIB (Altun et al., 2008), a ceh-36 promoter for AWC and ASE (Kim et al., 2010) and tdc-1, gcy-13 and cex-1 promoters for RIM (Greer et al., 2008, Piggott et al., 2011).
SNP mapping and Whole-Genome Sequencing
We performed a visual forward genetic screen in an integrated wild type transgenic strain (olaIs67) with AIB labeled with cytoplasmic mCherry and AIB presynaptic sites labeled with GFP:RAB-3. Ethyl methanesulfonate (EMS) mutagenesis was performed and animals were screened for defects in placement of the AIB neurite, or presynaptic distribution. We screened for these same phenotypes in our reverse genetic screens as well, where we crossed the marker strain (olaIs67) to characterized mutant alleles. We screened F2 progeny on a Leica DM 5000 B compound microscope with an HCX PL APO 63x/1.40–0.60 oil objective.
Mutants from forward genetic screens were out-crossed six times to wild type (N2) animals and mapped via single-nucleotide polymorphism (SNP) (Davis et al., 2005) and whole-genome sequencing as previously described (Sarin et al., 2008). We analyzed the results using the Galaxy platform (https://galaxyproject.org/news/cloud-map/, EMS variant density mapping workflow (Minevich et al., 2012).
Confocal imaging of C. elegans larvae and image processing
We used an UltraView VoX spinning disc confocal microscope with a 60x CFI Plan Apo VC, NA 1.4, oil objective on a NikonTi-E stand (PerkinElmer) with a Hamamatsu C9100–50 camera. We imaged the following fluorescently tagged fusion proteins, eGFP, GFP, PH:GFP (membrane-tethered), RFP, mTagBFP1, mCherry, mCherry:PH, mScarlet, mScarlet:PH at 405, 488 or 561 nm excitation wavelength. We anesthetized larval stage 4 animals (unless otherwise mentioned) at room temperature in 10mM levamisole (Sigma) and mounted them on glass slides for imaging. For Fig. 5 and the RIM neuron ablation images in Supplementary Fig. 7, larval stage 3 animals were imaged.
We used the Volocity image acquisition software (Improvision by Perkin Elmer) and processed our images using Fiji (Schindelin et al., 2012). Image processing included maximum intensity projection, 3D projection, rotation, cropping, brightness/contrast, line segment straightening, and pseudo coloring. All quantifications from confocal images were conducted on maximal projections of the raw data. Pseudocoloring of AIBL and AIBR was performed in Fiji. To achieve this, pixels corresponding to the neurite of either AIBL/R were identified and the rest of the pixels in the image were cleared. This was done for both neurons of the pair and the resulting images were merged. For quantifications from confocal images, n= number of neurons quantified, unless otherwise mentioned.
Embryo labeling, imaging and image processing
For labeling of neurites in embryos, we used membrane tethered PH:GFP or mScarlet:PH. A subtractive labeling strategy was employed for AIB embryo labeling (Supplementary Fig. 3A-C) (Armenti et al., 2014, Moyle et al., 2021). Briefly, we generated a strain containing unc-42p::ZF1::PH::GFP and lim-4p::SL2::ZIF-1, which degraded GFP in the sublateral neurons, leaving GFP expression only in the AIB and/or ASH neurons. Onset of twitching was used as a reference to time developmental events. Embryonic twitching is stereotyped and starts at 430 minutes post fertilization (m.p.f) for our imaging conditions.
Embryonic imaging was performed via dual-view inverted light sheet microscopy (diSPIM) (Kumar et al., 2014, Wu et al., 2013) and a combined triple-view line scanning confocal/DL for denoising (Wu et al., in prep, also described below) described below. Images were processed and quantifications from images were done using CytoSHOW, an open source image analysis software. CytoSHOW can be downloaded from http://www.cytoshow.org/ as described (Duncan et al., 2019).
Triple-view line-scanning confocal/DL
We developed a triple-view microscope that can sequentially capture three specimen views, each acquired using line-scanning confocal microscopy (Wu et al., in prep). Multiview registration and deconvolution can be used to fuse the 3 views (Wu et al., 2016), improving spatial resolution. Much of the hardware for this system is similar to the previously published triple-view system (Wu et al., 2016), i.e., we used two 0.8 NA water immersion objectives for the top views and a 1.2 NA water immersion lens placed beneath the coverslip for the bottom view. To increase acquisition speed and reduce photobleaching, we applied a deep-learning framework (Weigert et al., 2018) to predict the triple-view result when only using data acquired from the bottom view. The training datasets were established from 50 embryos (anesthetized with 0.3% sodium azide) in the post-twitching stage, in which the ground truth data were the deconvolved triple view confocal images, and the input data were the raw single view confocal images. These approaches resulted in improved resolution (270nm X 250 nm X 335nm).
Cell lineaging
Cell lineaging was performed using StarryNite/AceTree (Bao et al., 2006, Boyle et al., 2006, Murray et al., 2006). Light sheet microscopy and lineaging approaches were integrated to uncover cell identities in pre-twitching embryos (Duncan et al., 2019). Lineaging information for promoters is available at http://promoters.wormguides.org. Our integrated imaging and lineaging approaches enabled us to identify a promoter region of inx-19 which is expressed in the RIM neurons prior to RIM neurite outgrowth (∼370 m.p.f.) and in additional neurons in later embryonic stages. The inx-19p was one of the promoters used for embryonic ablation of the RIM neurons (described in the next section).
In addition, our integrated imaging and lineaging approach also enabled us to identify two promoters with expression primarily in neurons located at the AIB posterior neighborhood (nphp-4p and mgl-1bp). 4/4 neuron classes that were identified to have nphp4p expression are in the AIB posterior neighborhood (ADL/R, ASGL/R, ASHL/R, ASJL/R) and 2/3 neuron classes that were identified to have mgl-1bp expression are in the AIB posterior neighborhood (AIAL/R, ADFR) (http://promoters.wormguides.org). We used these promoters to drive ectopic expression of a syg-1 cDNA specifically in the posterior neighborhood.
Caspase-mediated ablation of RIM neurons
The RIM neurons were ablated using a split-caspase ablation system (Chelur and Chalfie, 2007). We generated one set of transgenic strains with co-expression of the p12 and p17 subunit of human Caspase-3, both expressed under inx-19p (termed ablation strategy 1), and another set of ablation strains with co-expression of the p12 subunit expressed under inx-19p and p17 under tdc-1p (termed ablation strategy 2) (Supplementary Fig. 7). L3 larvae from the RIM-ablated populations were imaged on the spinning-disk confocal microscope (described in the ‘Confocal imaging of C. elegans larvae and image processing’ section).
Rendering of neurites and contacts in the EM datasets
From available EM datasets (Brittin et al., 2018, Cook et al., 2019, White et al., 1986, Witvliet et al., 2020) we rendered the segmentations of neuron boundaries in 2D using TrakEM2 in Fiji. TrakEM2 segmentations were volumetrically rendered by using the 3D viewer plugin in Fiji (downloaded from https://imagej.net/Fiji#Downloads) and saved as object files (.obj), or by using the 3D viewer in CytoSHOW.
To generate 3D mappings of inter-neurite membrane contact, the entire collection of 76,046 segmented neuron membrane boundaries from the JSH TEM datasets (Brittin et al., 2018, White et al., 1986) were imported from TrakEM2 format into CytoSHOW as 2D cell-name-labelled and uniquely color-coded regions of interest (ROIs). To test for membrane juxtaposition, we dilated each individual cell-specific ROI by 9 pixels (40.5 nm) and identified for overlap by comparing with neighboring undilated ROIs from the same EM slice. A collection of 289,012 regions of overlap were recorded as new ROIs, each bearing the color code of the dilated ROI and labeled with both cell-names from the pair of the overlapped ROIs. These “contact patch” ROIs were then grouped by cell-pair-name and rendered via a marching cubes algorithm to yield 3D isosurfaces saved in .obj files. Each of the 8852 rendered .obj files represents all patches of close adjacency between a given pair of neurons, color-coded and labeled by cell-pair name. Selected .obj files were co-displayed in a CytoSHOW3D viewer window to produce views presented in Fig. 1, Supplementary Fig. 1 and 2.
Schematic representation of larval C. elegans
The schematic representations of larval C. elegans in Fig. 1 and Supplementary Fig. 6 were made using the 3D worm model in OpenWorm (http://openworm.org - 3D Model by Christian Grove, WormBase, CalTech).
Quantification and statistical analysis
Cosine similarity analysis for comparing AIB contacts across connectomes
We performed cosine similarity analysis (Han et al., 2012) on AIB contacts in available connectome datasets (Brittin et al., 2018, White et al., 1986, Witvliet et al., 2020). For each available adjacency dataset (Brittin et al., 2021, Moyle et al., 2021, Witvliet et al., 2020), we extracted vectors comprising of the weights of AIB contacts with neurons common to all the datasets. We then performed cosine similarity analysis on these vectors using the formula: where A and B are the two vectors under consideration with the symbol “i” denoting the i-th entry of each vector. The similarity values were plotted as a heat map for AIBL and AIBR using Prism. For the datasets L1_0hr, L1_5hr, L1_8hr, L2_23hr, L3_27hr, L4_JSH and Adult_N2U, only the neuron-neuron contacts in the EM sections corresponding to the nerve ring were used (as opposed to the whole connectome).
Betweenness centrality analysis
We analyzed betweenness centrality for two of the available connectomes of different developmental stages (L1 and adult) (Witvliet et al., 2020). By treating individual components (mostly neurons) of a connectome as the vertices of a graph, we use the following definition of Betweenness Centrality for a vertex v,
Here λst’(v) denotes the number of shortest paths between the vertices s and t, that include vertex v, whereas λst’ denotes the total number of shortest paths between the vertices s and t. We finally divide BC(v) by (N − 1)(N − 2)/2 to normalize it to lie between 0 and 1. For our implementation we use the Brain Connectivity Toolbox (Rubinov and Sporns) of MATLAB2020, in particular, the function “betweenness_bin.m” in which we input the binary connectivity matrix (threshold = 0) (Fornito et al., 2016) corresponding to the L1 and adult connectomes (Witvliet et al., 2020). We made a Prism box plot (10 to 90 percentile) of betweenness centrality values of all components in each of the two connectomes and highlighted the betweenness centrality values for AIBL and AIBR.
Representation of AIB from confocal images
Since we observed that the proximal and distal neurites of AIBL and AIBR completely align and overlap (Supplementary Fig. 1) in confocal image stacks where the worms are oriented on their side, for representation purposes we have used the upper 50% of z-slices in confocal image stacks to make maximum intensity projections. This shows the proximal neurite of AIBL in the context of the distal of AIBR (which has the same anterior-posterior position as the distal neurite of AIBL) (Supplementary Fig. 1), or vice versa.
Quantification of penetrance of AIB neurite placement defects and gain-of-function phenotypes
The penetrance of defects in AIB neurite placement in the anterior neighborhood in mutant (or ablation) strains was determined by visualizing the AIB neurite and scoring animals with normal or defective anterior neighborhood placement under the Leica compound microscope described. Animals in which the entire distal neurite was placed at a uniform distance from the proximal neurite, for both AIBL and AIBR, were scored as having normal AIB distal neurite placement.
The penetrance of the gain-of-function effects in ectopic SYG-1 expression strains was determined by scoring the percentage of animals showing ectopic AIB distal neurite placement in the posterior neighborhood. Animals with part (or whole) of the AIB distal neurite overlapping with the posterior neighborhood were considered as having ectopic AIB placement.
Quantification of minimum perpendicular distance between neurites
Minimum perpendicular distances between neurites were measured by creating a straight line selection (on Fiji) between the neurites (perpendicular to one of the neurites) in the region where the gap between them is estimated to be the smallest. The measurements were done on maximum intensity projections of raw confocal image stacks where the worms are oriented on their side (z-stacks acquired along left-right axis of the worm, producing a lateral view of the neurons).
Quantification of percent detachment between neurites
The percent detachment for defasciculated neurites (AIB and RIM) is calculated by the formula % detachment = detached length (Ld) x 100 /total length (Lt) (also shown in Fig. 4M). Ld is calculated by making a freehand line selection along the detached region of the RIM neurite and measuring its length and Lt is calculated by making a freehand selection along the RIM neurite for the entire length over which it contacts AIB, and measuring the length of the selection. All the measurements were performed on maximum intensity projections of confocal image stacks where the worms are oriented on their side (z-stacks acquired along left right axis of the worm, producing a lateral view of the neurons).
Quantification of relative enrichment of syg-1 reporter expression in the anterior neighborhood
Relative (anterior) enrichment of syg-1 reporter expression in embryos (Fig. 5S) is calculated using the formula, relative enrichment (syg-1p) = mean anterior neighborhood intensity (Ia)/mean posterior neighborhood intensity (Ip). These measurements were done in transgenic embryos co-expressing the AIB reporter and the syg-1 transcriptional reporter. For calculation of Ip, a freehand line selection was made (using CytoSHOW, http://www.cytoshow.org/, (Duncan et al., 2019)) along the posterior band of syg-1 expression and mean intensity along the selection was calculated. Same was done for calculation of Ia. The ratios of Ia and Ip were plotted as relative (anterior) enrichment values (Fig. 5S). These values were calculated from 3D projections of deconvolved diSPIM images acquired at intensities within dynamic range (not saturated) at timepoints during embryogenesis (485, 515 and 535 minutes post fertilization), when the AIB neurite grows and is placed into the posterior and anterior neighborhoods. Ia/Ip was calculated from the anterior and posterior syg-1 bands on each side of the embryonic nerve ring per embryo (number of embryos = 4, number of Ia/Ip values = 8).
Quantification of the dorsal midline shift (chiasm) length of AIB
The dorsal midline shift (chiasm) lengths of AIB and AVE were calculated by making 3D maximum intensity projections of confocal z-stacks and orienting the neuron pair to a dorsal-ventral view. A straight line selection is made along the posterior-anterior shift of each neuron, and each arm of the “X” of the chiasm was measured (using Fiji).
Quantification of distal neurite length of AIB
The length of the distal neurite of AIB was measured by drawing a freehand line along the neurite segment occupying the distal neighborhood (including the chiasm) in maximum intensity projections of confocal image stacks where the worms are oriented on their side (z-stacks acquired along left-right axis of the worm, producing a lateral view of the neurons).
Quantification of positions and velocities of the AIB neurite during embryogenesis
The positions of the AIB neurite in the anterior and posterior neighborhoods in Fig. 3C are calculated from deconvolved maximum intensity projections of diSPIM images where the neurons are oriented in an axial view. These positions are determined by measuring the lengths along the AIB neurite from the unzippering/zippering forks to the dorsal midline. The distance of the zippering fork from the midline is subtracted from the total length of the neurite at the start of zippering, to obtain the length of the AIB neurite that has already zippered. The fraction of the length of the AIB neurite that has zippered to the initial length of the relocating AIB distal neurite, multiplied by 100, yields the percentage of the AIB neurite that has zippered at each timepoint. The reported values (in Fig. 5S) of the percentages of the AIB neurite that has zippered are averages across the three independent embryo datasets (used for the Fig. 3 plots). Embryos in which the AIB and RIM neurons were specifically labeled by the subtractive labeling strategy were used for the analysis. Reported measurements represent AIB neurites which were visible through the imaging window. Zippering velocity (Fig. 3D) at any timepoint (t1) is defined as the difference between positions of the AIB neurite at that timepoint (t1) and the next timepoint (t2) (for which position was measured), divided by the time interval (t2-t1). These measurements are performed with CytoSHOW. To pseudocolor the neurites for representation, we used the same steps described in ‘Confocal imaging of C. elegans larvae and image processing.’
Quantification of the angle of exit of the developing AIB distal neurite with the ventral turn of the nerve ring in the posterior neighborhood
The angle of exit (α) of the developing AIB distal neurite is measured as the angle between straight line tangents drawn along the separating distal segment of AIBL and the proximal neurite of AIBR and vice versa. These measurements are performed on deconvolved maximum intensity projections of diSPIM images where the neurons are oriented in an axial view. The angle of ventral turn of the nerve ring (β) is measured as the angle between straight line tangents drawn along segments of the nerve ring on either side of the ventral bend of the nerve ring in the posterior neighborhood (see Supplementary Fig. 3G,H). β is measured from images of embryos with proximal neighborhood labeled with nphp-4 promoter (see Results and http://promoters.wormguides.org). All measurements are performed using CytoSHOW.
Imaging and representation of synaptic protein RAB-3 in AIB in embryos
Time-lapse imaging of presynaptic protein RAB-3 in AIB in embryos was performed using diSPIM (Wu et al., 2013). To visualize the distribution of RAB-3 along the neurite we straightened the distal neurite of each AIB neuron from maximum intensity projections where the AIB neurons are oriented in the axial view (Fig. 7).
Quantification of nerve ring width from larval stage animals
The nerve ring was visualized using a 5.6 kb promoter of cnd-1 (Shah et al., 2017) driving membrane-targeted GFP (PH:GFP) in wildtype and syg-1(ky652) mutant animals. Measurements were done on confocal image stacks where the worms are oriented on their side (z-stacks acquired along left-right axis of the worm, producing a lateral view of the neurons). On each side of the worm a straight line selection along the anterior-posterior axis from one edge of the labeled nerve ring to the other was defined as the nerve ring width.
Quantification of length of the dorsal midline shift (chiasm) from EM images
From a segmented EM dataset of the L4 larva JSH (Brittin et al., 2018, White et al., 1986), we calculated the number of z-slices containing segmented regions of the anterior-posterior shift (that forms the chiasm) of AIBL. We multiplied this number with the z-spacing of the dataset (60 nm) to obtain the anterior-posterior distance that the AIBL shift spans (dz). We then calculated the x-y distance between the segmented regions of the AIBL shift in the topmost and bottommost z-slice(dx-y). We calculate the length of the shift in 3D (l) using the formula
The same measurements were repeated for the length of the dorsal midline shift of AIBR.
Statistical analyses
Statistical analyses were conducted with PRISM 7 software. For each case, the chosen statistical test is described in the figure legend and “n” values are reported. Briefly, for continuous data, comparisons between two groups were determined by unpaired two-tailed t-test and comparisons within multiple groups were performed by ordinary one-way ANOVA. Error bars were reported as standard error of the mean (SEM). For categorical data, groups were compared with two-sided Fisher’s exact test. The range of p-values for significant differences are reported in the figure legend. The Cohen’s d statistic was determined for comparisons between continuous datasets with statistically significant differences, to obtain estimates of effect sizes.
Author contributions
T.S. and D.A.C.-R. designed the experiments. T.S. performed the experiments and data analysis. X.H., Y.W. and H.S. designed and performed the triple-view confocal imaging and deep learning analysis. T.S., N.L.K., M.W.M., L.H.D., and N.V.-M. generated reagents and provided resources. T.S., N.L.K., M.W.M., L.S., Y.W., A.S., Z.B., H.S. and W.A.M developed, and designed methodologies used in the study. S.E.E. analyzed and interpreted embryonic transcriptomics data (Packer et al., 2019). L.F. and A.S. contributed lineaging data and expertise. T.S. and D.A.C.-R. prepared the manuscript with input from the other authors. Z.B., W.A.M., H.S., D.A.C.-R. supervised the project.
Declaration of interests
The authors declare no competing interests.
Acknowledgements
We thank Kang Shen, Harald Hutter and John Murray for providing strains and constructs. We thank Scott Emmons, Steve Cook, and Chris Brittin, and Mei Zhen and Daniel Witvliet for sharing their segmented EM data and adjacencies. We thank Thierry Emonet and members of the Colón-Ramos lab for help, advice and insightful comments during manuscript preparation. We thank Sarah Se-Hyun Jho and Kenya Collins for their contributions to the project. We thank the Caenorhabditis Genetics Center (funded by NIH Office of Research Infrastructure Programs P40 OD010440) for C. elegans strains. We thank the Research Center for Minority Institutions program, the Marine Biological Laboratories (MBL), and the Instituto de Neurobiología de la Universidad de Puerto Rico for providing meeting and brainstorming platforms. H.S. and D.A.C-R. acknowledge the Whitman and Fellows program at MBL for providing funding and space for discussions valuable to this work. Research in the D.A.C-R., W.A.M., and Z. B. labs were supported by NIH grant No. R24-OD016474. M.W.M. was supported by NIH by F32-NS098616. Research in H.S. lab was further supported by the intramural research program of the National Institute of Biomedical Imaging and Bioengineering (NIBIB), NIH. Research in Z.B. lab was further supported by an NIH center grant to MSKCC (P30CA008748). Research in the D.A.C.-R. lab was further supported by NIH R01NS076558, DP1NS111778 and by an HHMI Scholar Award.
Footnotes
We added three main findings - 1. Biophysical modeling of retrograde zippering is consistent with differential adhesion underlying AIB transition between neighborhoods 2. We showed that SYG-2 acts in AIB to drive retrograde zippering, therefore characterizing the molecular mechanism underlying this process. 3. We showed that SYG-1 protein expression is also dynamic and switches between neighborhoods during AIB neurite placement in the embryo, and further investigated the requirement of SYG-1 protein domains in AIB neurite placement.
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