Abstract
Programmed cell death is a common feature of animal development. During development of the C. elegans hermaphrodite, programmed cell death (PCD) removes 131 cells from stereotyped positions in the cell lineage, mostly in neuronal lineages. Blocking cell death results in supernumerary “undead” neurons. We find that undead neurons can be wired into circuits, can display activity, and can modify specific behaviors. The two undead RIM-like neurons participate in the RIM-containing circuit that computes movement. The addition of these two extra neurons results in animals that initiate fewer reversals and lengthens the duration of those reversals that do occur. We describe additional behavioral alterations of cell-death mutants, including in turning angle and pharyngeal pumping. These findings reveal that, like too much PCD, too little PCD can modify nervous system function and animal behavior.
Introduction
The somatic cell lineage of the C. elegans hermaphrodite contains 131 programmed cell deaths (PCD) (1, 2). These cell deaths are a feature of normal development, unlike cell deaths induced by damage or disease. PCD occurs during the development of most and possibly all animals (3–5). Of the 131 PCDs that occur during C. elegans hermaphrodite development, 105/131 (80%) are “neural-proximate,” i.e. derive from branches of the cell lineage that generate only neurons and neuron-associated glial-like cells (1, 2). 94/131 (72%) of the cell deaths occur in lineages that give rise exclusively to neurons. By comparison, only 302/959 (31%) cells in the mature hermaphrodite are neurons (Fig. S1, A to C) (1, 2, 6, 7). Thus, PCD is concentrated in neuronal lineages during C. elegans development, indicating that PCD plays a key role in shaping the nervous system of this animal.
Study of the fates and functions of cells normally eliminated by PCD is possible using mutations that disrupt the core mechanisms of cell death. For example, C. elegans mutants deficient in the function of the gene ced-3 lack essentially all somatic PCD because they are defective in the major caspase that drives PCD (8, 9). Similarly, ced-4 mutants lack all somatic PCD because they cannot activate ced-3 (8, 10–13). In such mutants, the 131 cells that are normally removed by PCD survive and are referred to as “undead” (14). Many undead cells become neuron-like (6, 8, 14, 15). For example, the two serotonergic NSM neurons each have a sister that is normally removed by PCD. In cell-death mutants, the undead NSM sisters express serotonin and morphologically resemble the NSMs (8, 15). Studies of undead sisters of M4 neurons (6), PVD neurons (16), undead cells in the ventral nerve cord VC lineage (17), and others similarly indicate that undead cells in neuronal lineages share characteristics with normal neurons, including acquiring neuronal morphologies and expressing neurotransmitters. Consistently, we found that fluorescent markers specific to neuron types with undead relatives are often also expressed in their undead relatives when cell death is blocked, suggesting similar patterns of gene expression and revealing similar morphologies of undead cells to their normal neuronal relatives (Fig. S1, D to L). Thus, in the absence of cell death, the C. elegans nervous system contains a large number of supernumerary undead neuron-like cells — if all undead cells in neuronal-specific lineages acquire a neuronal fate, hermaphrodites that lack PCD have at least 94 extra neuron-like cells, in addition to their normal complement of 302 neurons.
Do undead neuron-like cells function? In C. elegans, one undead cell can partially compensate for the function of its sister neuron (M4) after that sister is killed by laser microsurgery (6). Recent studies of Drosophila have similarly found that blocking PCD in specific neuronal lineages produces additional neuron-like cells that can induce a behavioral response when stimulated in decapitated flies (18, 19). These data raise the possibility that undead neuron-like cells are functional neurons that can affect behavior not only in animals with portions of their nervous systems removed but also in animals with an intact, complete nervous system. However, C. elegans cell-death mutants appear to be grossly normal in locomotion, egg laying and chemotaxis, raising the question of what function — if any — PCD serves in modulating the activity of the C. elegans nervous system (8).
Results
Undead RIM sisters form synapses onto wild-type circuits
To examine the function of undead neuron-like cells in behavior, we studied the sister cells of the two RIM neurons, a bilaterally symmetric pair of interneurons that are integral components of reversal circuits in C. elegans locomotion (20–22). Each RIM has a sister cell that is normally removed by PCD (Fig. 1A). Compared to other neuron types we investigated, the undead RIM sisters displayed little variability in expression of the RIM terminal fate marker gcy-13 (23), suggesting that these cells adopt a neuronal, RIM-like fate in most worms (Fig. 1, A to G). Animals carrying a canonical and presumptive null ced-3(n717) allele (8) typically had 4 RIM-like neurons rather than 2 RIMs. All 4 RIM-like neurons had similar morphologies, indicating that they had similar developmental programs in addition to expressing the terminal fate marker (Fig. 1H). In the normal nervous system, each RIM receives synaptic input from one of the bilaterally symmetric AIB sensory neurons. Although AIB synapses onto other neurons, RIM is its primary post-synaptic target (Fig. 1I) (24). Synaptic inputs from AIB to RIM are received by the postsynaptic glutamate receptor GLR-1 (22, 25). Unlike the RIM neurons, the AIB neurons have no lineage-proximate PCD events. Thus, the AIB-RIM circuit provides a system for investigating the connectivity and function of undead neuron-like cells.
Fig. 1: Undead RIM sister cell form synapses with AIB, altering presynaptic patterning.
(A-G) Fate marker analysis in the ced-3(n717) (cell-death mutant) background of selected neuron types with undead relatives. Each panel shows the percentage of animals exhibiting fewer or more than the ‘expected number’ of cells, as well as a representation of the local cell lineage (1, 2). The ‘expected number’ is defined as the number of neurons of the type present in wild-type animals, plus the number of lineage-proximate undead cells. (H) Micrograph of RIM fate marker in wild-type and ced-3(n717) (cell-death mutant) backgrounds. Arrowheads indicate cell bodies. The wild-type animal has two RIM neurons, and the ced-3(n717) animal has two additional RIM-like cells and is counted as contributing to the orange “more than expected” sector in panel (A). 10μm scalebars. (I) Schematic of AIB synaptic connections to RIM and other neurons (24). (J) Quantification of animals with stereotyped AIB synaptic patterning in wild-type and ced-3(n717) animals. (K) RAB-3::GFP pre-synapses in AIB (top panel) and GLR-1::tagRFP post-synapses in RIM (middle panel) colocalize (bottom panel). (L) ced-3(n717) mutants display an increase in AIB pre-synapses (top panel) and RIM post-synapses (middle panel) when both RIM and RIM-like cells are labeled. (M) ced-3(n717) mutants display an increase in AIB pre-synapses (top panel) but display normal RIM post-synapses (middle panel) when only one of the RIM and RIM-like cells is labeled because of mosaicism of the labeling array. 2μm scalebars.
We visualized synapses from AIB onto RIM using RAB-3::GFP to mark presynaptic regions in the AIBs and GLR-1::tagRFP to mark postsynaptic regions in the RIMs and undead RIM sisters. We found that ced-3(n717) animals have a completely penetrant patterning defect at AIB-RIM synapses (Fig. 1J). In control animals, both the presynaptic RAB-3 marker (in AIB) and the post-synaptic GLR-1 marker (in RIM) had a punctate organization. Pre- and post-synaptic puncta were often apposed to one another, consistent with these markers localizing at sites of synaptic transmission (Fig. 1K). By contrast, ced-3 mutant animals had more numerous postsynaptic puncta in RIM-like cells and more numerous presynaptic puncta in AIB (Fig. 1L). We hypothesized that this observation indicated that in ced-3 mutants the AIBs form twice the normal number of synapses: one set of synapses onto the normal RIMs, and another set onto undead RIM-like neurons, with the axons being too close together to resolve by imaging.
To better understand the nature of AIB-RIM synapses in ced-3 mutants, we performed mosaic analysis. Because the transgene carrying the pre- and post-synaptic markers is lost at low frequency during mitotic divisions, we could find animals that carried the transgene in AIB and in only one of the presumptive RIM/undead RIM pair. In these animals, the distribution of GLR-1 in the RIM or undead RIM was largely normal (Fig. 1M, center). These data indicate that the increase in GLR-1 signal observed in RIM-like cells in ced-3 animals (Fig. 1L, center) involves contributions from both the normal and undead RIMs. Further, in these animals with only a single RIM labeled the increases in pre-synapses in AIB (Fig. 1M, top) were similar to animals with 2 RIM-like cells in which both normal and undead RIMs were marked (Fig. 1L, top), indicating that the increase in AIB synapses is induced by the presence of the undead RIM neuron itself, rather than a marker-dependent effect. Together, these results confirm that the presence of undead neurons results in wiring changes in the C. elegans nervous system (6, 14). Specifically, these data indicate that AIB is synaptically connected to both the normal and the undead RIM neurons in animals that lack PCD, altering the architecture of this circuit.
Undead RIM sisters are functional neurons that alter behavior
A primary function of neuronal circuits is to control behavior. The AIB and RIM neurons are key components of a well-characterized neuronal circuit that regulates locomotory reversals, an important behavioral activity computed by the C. elegans nervous system (21, 26–31). To determine whether the undead RIM-like neurons participate in the reversal circuit, we assessed activity in both the normal and the undead RIM neurons using an experimental setup that allowed us to examine correlation between activity and reversal behavior. Activity was assessed using the calcium indicator GCaMP6s, which we expressed in both the normal RIM and the undead RIM-like neurons under the gcy-13 promoter (Fig. 2A). We used anatomical criteria to distinguish normal from undead RIM neurons in ced-3 mutants: of neurons expressing GCaMP6s, anterior neurons were assigned as the undead RIM sisters, as the anterior daughter of the RIM neuroblast normally undergoes programmed cell death. We confirmed this assignment by observing that these anterior cells were labeled by a Pegl-1::GFP::H2B marker -- egl-1 is a pro-apoptotic gene expressed in cells targeted for PCD (32, 33) (see materials and methods). A dual-camera system was used to acquire simultaneous images of GCaMP and tagRFP (fig. S2A). To enable dual observation of both GCaMP6s signals and behavior, we developed an immobilization strategy that allowed animals to display some movement while preserving high-quality imaging (see materials and methods).
Fig. 2. Undead RIMs are functional and their activity corresponds to reversal behavior.
(A) Annotated micrographs of RIM neurons in wild-type and ced-3(n717) animals labeled with GCaMP6s and tagRFP. Red boxes show the cell-body regions that were analyzed. Four cells are boxed for ced-3(n717) animals: the two RIM neurons (RIML and RIMR) and the two undead RIM-like cells (RIMLU and RIMRU). (B) Calcium traces of RIM neurons in a wild-type animal. Dashed vertical lines represent reversal events. (C) Calcium traces of RIM and RIM-like neurons in a ced-3(n717) animal. Dashed vertical lines mark reversal events. (D) Heatmap of calcium traces of RIM and RIM-like neurons across all ced-3(n717) animals. Each row corresponds to a RIM (L, R) or RIM-like (LU, RU) neuron, with its name on the left side of the row. Individual worms are grouped within horizontal black lines. Dashed vertical lines mark reversal events. (E) Averaged calcium traces in specific neurons in ced-3(n717) animals, aligned on reversal events (dashed vertical lines). (F) Correlation coefficients between different pairs of specific neurons in ced-3(n717) animals.
Consistent with previous results (27), we found that in control animals RIM activity was correlated with reversals. Specifically, in both in the left and right RIM neurons a sharp increase in GCaMP fluorescence was observed close to the onset of each reversal (Fig. 2B). Next, we examined ced-3 mutant animals that expressed GCaMP6s in two additional RIM-like neurons. We found that undead RIM-like neurons displayed GCaMP signals like those of their normal sisters, typically a sharp increase in fluorescence corresponding to the onset of each reversal (Fig. 2C and fig. S2B). We were able to image all four RIM and RIM-like neurons in 11 ced-3 animals, and 3 neurons in 2 additional ced-3 animals in which we could not resolve the fourth neuron. Across this data set, every animal displayed obvious correlation between overall activity and reversals and also displayed correlation among the activities of all individual analyzed cells (Fig. 2D). By contrast, the length of time between two reversals and the pattern of calcium activity after each reversal differed among events (Fig. 2D). To further analyze the relationship between the GCaMP signal in individual neurons and behavior, we aligned signals from each individual neuron type according to reversal (fig. S2B; see materials and methods) and averaged across animals. This analysis confirmed that each individual neuron type (the left and right normal RIMs as well as the left and right undead RIMs) displayed activity roughly coincident with—and slightly preceding—reversal initiation (Fig. 2E). To determine the amount of correlated activity between these different types of neurons, we calculated the Pearson correlation between different neurons within each animal. We found that the average correlation between the normal left and right RIM neurons was not statistically different from the correlation between each normal RIM neuron and its undead sister (Fig. 2F). Overall, these data indicate that in ced-3 mutants the undead RIM sisters receive functional synaptic inputs that produce activity that is indistinguishable from that of their normal counterparts.
Does the activity of these extra RIM-like neurons influence behavior? Since RIM activity correlates with reversals, we quantified the number of reversals initiated in freely behaving worms. We found that ced-3 mutant worms initiated ~60% fewer reversals than wild-type worms (wild type = 2.7; ced-3 = 1.1; p < 0.0001). In addition, reversals by ced-3 mutants were of longer duration than those of wild-type worms (wild type = 2.45 seconds; ced-3 = 3.80 seconds; p = 0.0002). A similar trend is seen for ced-4 mutants, in which PCD is also prevented (Fig. 3, A and B). These behavioral changes are consistent with the hypothesis that coordinated activity of the extra RIM-like neurons in ced-3 animals alters reversal behavior. However, ced-3 mutant animals have many supernumerary neuron-like cells in addition to extra RIM-like neurons that might also influence reversal behavior (Fig. S1).
Fig. 3. Undead RIMs alter reversal frequency and duration.
(A) ced-3(n717) and ced-4(n1162) animals initiate fewer reversals than wild-type animals. Data are mean ± S.D. with individual data points shown. (wild-type n=41, ced-3(n717) n=42, ced-4(n1162) n=42) (B) Reversal durationis increased in ced-3(n717) and ced-4(n1162) animals. Reversal times measured from events in Fig 3A. (C) Schematic of behavioral experiment with RIM-specific cell death rescue. (D) ced-3(n717) animals initiate fewer reversals than wild-type animals, and removal of additional RIMs partially rescues reversals. Data are mean ± S.D. with individual data points shown. Wild-type, n=58; ced-3(n717), n=58; Pinx-19::ced-3A (4RIM), n=49; Pinx-19::ced-3A (2RIM), n=29. (E) Reversal length is increased in ced-3(n717) animals, and this increase is partially rescued by RIM-specific re-introduction of functional CED-3A using the inx-19 promoter. Data are mean ± S.D. with individual data points shown. Reversal times measured from events in Fig 3D.
To determine if the behavioral difference in reversals of ced-3 animals is specifically caused by the presence of extra RIM-like neurons, we performed mosaic analysis of the RIM cell lineage. We generated a strain of ced-3 mutants that carries a transgene expressing a functional ced-3 cDNA expressed in RIM (and some other neuron types, see materials and methods) under the inx-19 promoter (34, 35). This transgene is lost at low frequency during mitotic cell division (see materials and methods). Thus, this strain produces animals that have either no undead RIMs (because the transgene is retained in both the left and right RIM lineages, restoring cell death), one undead RIM (transgene is lost in either the left or the right RIM lineage), or two undead RIMs (because the transgene is lost in both left and right RIM lineages, although it is still present in other cells). These animals also carry a separate stable fluorescent marker for the RIM and undead RIM neurons, gcy-13p::tagRFP, allowing the number of RIM-like cells to be determined. Animals were first assayed for behavior and then mounted and imaged to quantify the number of RIM neurons. We excluded animals with 3 RIM-like cells and analyzed data for animals with either 2 RIMs (complete rescue of the RIM lineage cell death) or 4 RIM-like cells (no rescue of RIM lineage cell death) (Fig. 3C). We estimated that in the 2-RIM animals, the other undead neuron types that express the inx-19 promoter would retain the recuing array at the following frequencies: ASI, 0.26; ADL, 0.22; ASK, 0.18; ADA, 0.26; PHB, 0.26; PVQ, 0.30; RIC, 0.51 (see Materials and Methods). Of these, only ASI is implicated in reversals (21). Thus, 2-RIM animals have the same number of RIM neurons as the wild type, but otherwise have a nervous system that is largely similar to that of ced-3 mutants, with minor stochastic differences mostly outside the circuit for reversals.
We found that mosaic animals with two RIM neurons had significantly more and shorter reversals compared to ced-3 animals and compared to 4-RIM-like mosaics (2-RIM = 4.1; ced-3 = 3.1; p = 0.0172; 4-RIM = 2.9; p = 0.004) (Fig. 3D). Reversals were also shorter in duration for ced-3 mutant worms with only two RIM neurons (Fig. 3E). The major difference between these groups is the number of undead RIM-like neurons: all three groups have large numbers of other undead cells. Together, these data indicate that the number of RIM-like neurons is a primary determinant of reversal frequency and duration. In addition, animals with two RIMs were not identical to the wild type: although wild-type and 2-RIM animals had the same number of RIMs, the 2-RIM animals exhibited a modest decrease in reversals (wild type = 5.4; ced-3 animals with 2 RIMs= 4.1; p=0.001) (Fig. 3, D and E). These data suggest that besides the undead RIM-like neurons, other undead neurons also contribute to the behavioral difference observed for ced-3 animals. Overall, we conclude that undead RIM sisters are true neurons that exhibit coordinated activity, functionally integrate into the reversal circuit, and alter a key behavioral decision.
Lack of programmed cell death causes specific behavioral alterations.
To further investigate the functional consequences of undead neurons, we examined forward locomotory movement in ced-3 mutant animals. We observed that ced-3 animals tend to turn toward their dorsal side while moving forward on a bacterial lawn, whereas wild-type animals showed no dorsal or ventral bias in their movement (Fig. 4, A and B). To quantify this difference, we measured the dorsal side turning angles of worm tracks on a bacterial lawn (Fig. 4B). Turning angle was quantified as the angle between two blocks of movement, such that the angle would be 180 degrees for animals moving in a straight line, < 180 degrees for animals turning dorsally, and >180 degrees for animals turning ventrally (see materials and methods). We found that the wild-type turning angle averaged close to 180 degrees, displaying no strong dorsal or ventral bias. By contrast, ced-3(n717) mutants had significantly smaller turning angles than wild-type animals, indicating a bias toward dorsal turning (Fig. 4C). Another mutant defective in PCD — ced-4(n1162) — similarly showed smaller dorsal turning angles than the wild type (Fig. 4D), indicating that this behavioral abnormality is caused by a defect in PCD.
Fig. 4. Analysis of cell death mutant behavior.

(A-B) Worm tracks on bacterial lawn. A wild-type worm moves straight (A), while a ced-3(n717) knockout worm tends to turn (B). (C-D) Quantification of the turning angle between control and ced-3(n717) (C) and between control and ced-4(n1162) (D). Worm strains used in panel D contain nIs177[Pceh-28::4xNLS::GFP]. Data are mean ± S.D with N=20.
To broadly explore the landscape of behavioral changes of ced-3 animals, we performed automated high-resolution analysis of freely-behaving ced-3 animals in the presence of food. This unbiased analysis revealed additional significant differences. The rates of pharyngeal pumping and of defecation were significantly different between ced-3 animals and the wild type, although the magnitude of these differences was small (fig. S3, A and B). The rates of egg laying were similar on average, but ced-3 animals exhibited significantly more variability than the wild type (fig. S3C). By contrast, forward and reverse velocities were not significantly different (fig. S3, D and E). Overall, our analyses support the idea that undead neurons modulate specific behaviors in specific ways, rather than causing global effects on all aspects of nervous system function.
Discussion
We have demonstrated that PCD plays a critical role in controlling the circuits and computations of the C. elegans nervous system. We showed that specific undead cells, the sisters of the RIM neurons, can become functional neurons that are wired into a stereotyped circuit and influence behavior. These data suggest that changes in PCD on evolutionary timescales could support the tuning of nervous system composition to achieve desired computational outputs.
The two RIM neurons are elements of a circuit in the worm brain that computes the critical decision choice between two opposite modes of worm behavior: forward and backward movement. Each RIM neuron has a sister that is normally removed by PCD. In the absence of PCD, these RIM-proximate undead cells become RIM-like neurons. We conclude that these undead RIM-like neurons get integrated into the RIM circuit based on four criteria: (1) they expressed a RIM fate marker; (2) they made synapses with RIM’s normal presynaptic partners, the AIB neurons; (3) they showed calcium activity that is time-locked with reversals and indistinguishable from the activity of the RIMs themselves; and (4) they modified reversal behavior.
Our data indicate that the activity of the undead RIM-like neurons resulted in fewer transitions from forward to backward movement and an increased duration of backward movement. This observation is consistent with a recent report that when depolarized RIM acts to lengthen reversals (36). Recent studies indicate that RIM activity is transmitted to downstream neurons via both chemical and electric connections and that the chemical connections are specifically responsible for RIM’s function in promoting backwards locomotion (36). When depolarized, RIM stabilizes reversals through chemical synapses that lead to longer reversals, ultimately resulting in fewer reversal events. Interestingly, our data indicate that the removal of the undead RIM-like neurons did not completely revert reversal behavior to normal patterns, suggesting that other undead neurons can also affect this computation.
Failure of PCD dramatically alters the neuronal composition of C. elegans. The cell lineage contains 94 cell deaths that have neurons as their closest relatives. In the cases we examined, neuronal-proximate undead cells usually became neuron-like, expressing terminal differentiation markers and adopting morphologies similar to those of their lineage-proximate neuronal relatives. We additionally found that the undead sisters of the RIM neurons became functional neurons that can be wired into a stereotyped circuit and alter intrinsic behavior. These results raise the possibility that all 94 neuronal-proximate undead cells can become functional elements of the nematode nervous system, representing an increase in total neurons of 31% and possibly causing massive alterations in the normally stereotyped neuronal wiring and function. Although we describe some specific novel behavioral alterations of ced-3 mutants, it seems likely that other aspects of behavior are perturbed in these mutants. It is possible that in some circuits a homeostasis mechanism compensates for the presence of extra neurons to maintain normal behavior.
A key function of nervous systems is to generate highly specific heritable intrinsic behaviors. These intrinsic behaviors must be tuned over evolutionary time scales by alterations to the genome. Because undead cells can differentiate into neurons, it has been proposed that cell death can alter neuronal circuits (6, 18, 19). Our data indicate that cell death in neuronal cell lineages provides a reservoir for latent circuits. Alterations in cell death can access these latent circuits and drive novel behaviors. Furthermore, because in many cases the fates of undead cells are variable, so might be the resulting behavioral changes—conceptually similar to other phenotypes arising from biological noise (37–41), but with a mechanism that also involves altered information processing by neural circuits. Over time, by altering the genetic control of PCD, evolution could sculpt behaviors for maximum fitness in changing environments. The human brain also computes intrinsic behaviors, and cell death is a prominent feature of mammalian brain development (42). Our results suggest that defects in PCD in humans might lead to altered intrinsic behaviors, possibly manifesting as neuropsychiatric disease or abnormalities in motor control.
Methods
C. elegans strains
All materials generated for this work are available from the authors. C. elegans strains (genotypes in table S2) were maintained at 20°C on NGM plates seeded with OP50 E. coli according to standard methods. The wild-type reference strain was N2 Bristol. Some strains were provided by the Caenorhabditis Genetics Center (CGC).
Molecular biology and transgenic lines
Plasmids were assembled using Gateway recombination (Invitrogen) or Gibson Assembly (New England Biolabs). For a list of plasmids and primers used see table S3. Detailed cloning information will be provided upon request. Transgenic worms were created by microinjection of plasmids as previously described (43) with co-injection markers odr-1p::RFP or unc-122p::RFP. Integrations were performed using UV-TMP as previously described.
Labeling and fluorescence microscopy of undead cells, neuronal fate markers
Undead cells were labeled by GFP-H2B fusion protein driven by 2788 bp of the egl-1 promoter, 5820 bp 3’ UTR and includes the egl-1 intron.
For imaging, animals were immobilized with 25 mM levamisole (Sigma) and mounted on a 3% agarose pad on a microscope slide. Images were acquired as 0.2 μm Z-stacks using a Leica DMi8 microscope with a Hamamatsu Flash Orca 4.0 camera and VT-iSIM system (BioVision) and Metamorph software (Molecular Devices) with 40X HC Plan Apo NA 1.3 oil, 63X HC Plan Apo NA 1.4 oil, and 100X HC Plan Apo NA 1.47 oil objectives (Leica). Image analysis was performed using FIJI (44). For PVD dendrites, the total number of quaternary dendrites were quantified 200 μm anterior of the most posterior PVD cell body.
Labeling, microscopy and scoring of AIB-RIM synapses in wild-type and ced-3(n717) worms
AIB presynapses were labeled by GFP-tagged RAB-3 driven by the inx-1 promoter, RIM postsynapses were labeled with tagRFP-tagged GLR-1 driven by the gcy-13 promoter, and RIM was labeled with BFP driven by the cex-1 promoter. Animals were immobilized with 25 mM levamisole and mounted on a 3% agarose pad on a slide. Images were acquired as 0.2 μm Z-stacks using an iSIM microscope (BioVision) with a 100x oil objective and Metamorph software (Molecular Devices). We created a maximum intensity Z-projection of the upper 50% of the Z-stack to visualize only one side of the worm. The distal segment of the neurites was then straightened computationally. Z-projected images of the AIB::RAB-3::GFP channel were scored for patterning of normal synapses. Images for which there was increased synapse distribution and/or synaptic varicosities were scored as abnormal.
Calcium-imaging microscopy hardware
We used a modular confocal imaging system with a 60x, 1.3-NA silicone immersion objective (Olympus). To ensure slight movements with no displacement outside of imaging field, worms were semi-immobilized by placing them on a thin 1 × 1-cm 7% agar pad covered with a 22 × 22-mm #1.5 coverslip. 2–3 μL M9 buffer were added between the agar pad and the coverslip to increase surface tension, which further improved the immobilization. To obtain dual-color images, fluorescent proteins (mCherry and GCaMP6s) in RIM neurons were simultaneously excited by 561 nm and 488 nm laser lines (Andor ILE) to uniformly illuminate a 200 × 200-μm field of view. The emission light was projected onto the sensors of two sCMOS cameras (q) using a spinning disk confocal setup (Andor Dragonfly 200 Series), a 565 nm long-pass dichroic mirror and mCherry/GFP band-pass filters. To perform volumetric imaging, we mounted the objective on a nano positioning piezo (Pizeoconcept FOCHS.100). The full 4.2 megapixel camera sensor was used with 4 × 4 binning applied, resulting in images of 512 × 512 pixels with a 0.4 μm pixel size.
During acquisition, a DAQ device (Measurement Computing USB-1208HS-4A) was programmed to provide the primary clock to synchronize exposure times of cameras and the motion of the piezo. Camera exposure reset and the piezo moved to a new Z value once every two clock cycles. The piezo visited 25 different Z values spaced at 1.2 μm, resulting in volumes consisting of 25 stacks taken at 4 Hz. Data acquisition and image analysis were managed by custom software written in Python, which was run in a Windows 10 environment.
Extracting calcium traces
To extract signals, first we annotated all RIM neurons in each frame throughout the recordings. Next, pixel values in a 11 × 11 × 5-pixel region around each annotated neuron were sorted, and the mean of the first 40 pixel values was computed. Signal in each channel was modeled by 3 multiplying terms plus a time-independent noise term: The first term corresponded to the real fluorescent signal, the second term was a decaying function of time used to model the photobleaching effect, and the third term corresponded to artifacts shared between the red channel and the green channel. The fluorescent protein responsible for the signal in the red channel (mCherry) was calcium-insensitive, which meant the first term in our model was a constant; thus, a double exponential function was fitted to estimate the product of the first and the second terms, and the 0.8 quantile of all pixels was used to estimate the time-independent noise. Next the third term was computed and was used to remove artifacts from the green channel. In the same way, noise was subtracted from the green channel. To correct for the photobleaching effect in the green channel, only timepoints that were not within an event were used to fit a double exponential function, and the magnitude was proportionally adjusted to normalize traces after applying the correction.
Averaging reversals
For each RIM neuron, 6-second time windows of GCaMP6s signals around the reversal initiations were cropped, and the average value from t=−3 s to t=0 s was used as the baseline to calculate the signal change ratio. The change ratio was averaged across all reversal initiations and was plotted as a black line. The grey area corresponds to the standard error of the mean.
Correlation coefficient
For each animal, pairwise Pearson Correlation Coefficients between left-right neurons and wild-type-undead neurons were calculated and averaged between all animals. p-values were calculated and revealed no significant differences between calculated average values, which indicate strong wild-type-undead correlation.
Spaghetti plot
We used the time points at which reversal motions were initiated, and cropped a 10 s time window from 3 s before up to 7 s after these time points from each time series. In these cropped time series, we took the average of the first 3 s, and used it as a baseline (F0) for normalization.
Reversal Assay
The reversal assay was performed as previously described (45). Young adults were transferred to unseeded NGM plates for 1 min before being recorded for 2 min. Any change from forward to backward movement was counted as a reversal during the 2-min interval. Reversal length was annotated using BORIS (Behavioral Observation Research Interactive Software).
Mosaic Analysis of Behavior
For RIM-specific CED-3A rescue in ced-3(n717) mutants, worms carrying the pinx-19::CED-3A array, indicated by the punc-122::RFP co-injection marker (expressed in coelomocytes), were selected and assayed for reversals, then mounted and imaged to determine the number of RIM and RIM-like neurons according to the previously described microscopic techniques.
In these experiments, the number of RIMs was experimentally determined. However, the pinx-19::CED-3A transgene is expressed not only in RIM and RIM-like neurons but also in other cell types (34, 35). If the array segregates into another cell type in which the inx-19 promoter is active and that also has an undead relative, the array will also restore cell death there. To estimate this background, we calculated the stability of the array.
Out of 181 animals assayed (all of which expressed the coelomocyte marker, so all of which carried the array in at least some cells), 39 had two RIM neurons. This result indicates that the pinx-19::CED-3A array segregated through all cell divisions into the RIM sisters, where it rescued the ced-3 mutation, thus allowing these cells to die. The only cell the RIM neurons and the coelomocytes have in common is the single-cell embryonic P0 cell. To segregate into both RIM sisters, the array must segregate through two common cell divisions (into ABp) and then through 8 cell divisions into the left RIM sister and 8 cell divisions into the right RIM sister. Thus, the array must segregate successfully through 18 cell divisions to yield 2 RIMs. Since the frequency of 2-RIM animals was 39/181 = 0.21547, the average probability of successful array transmission at each of these 18 mitotic cell divisions was the 18th root of 0.21547, or 0.9182.
Using this probability, we can estimate the fraction of animals with two RIMs that also retain the array in other cells where it might function: that is, other cells in which the inx-19 promoter is active and that also have an undead relative. There are 8 neuron types that fit this description; all are pairs of bilaterally-symmetric cells. Because we know that the array is present in the entire RIM lineage in these animals, we can calculate the fraction of animals that retain the array in these other lineages based on the average probability of successful array transmission at each mitotic division, assuming similar mosaicism rates across the lineage. This fraction will depend on the number of divisions each cell has after it diverges from the RIM lineage. We calculate the following fractions: ASI, 0.26; ADL, 0.22; ASK, 0.18; ADA, 0.26; PHB, 0.26; PVQ, 0.30; RIC, 0.51. Similarly, based on the array’s being present in at least the P0 cell, we can calculate the fraction of animals that retain the array in these other lineages in 4-RIM animals, which have lost the array somewhere in both the RIM left and right lineages: ASI, 0.22; ADL, 0.19; ASK, 0.15; ADA, 0.22; PHB, 0.22; PVQ, 0.25; RIC, 0.43.
Turning Angle
Five sinusoidal waves were defined as one movement step. The angle between two successive movement steps was defined as the turning angle. Single animals were transferred onto an OP50-seeded Petri plate and removed after 30 – 60 s. Track images were captured and turning angles were measured using ImageJ.
Measuring turning angle
A single worm was transferred onto a OP50-seeded NGM plate and removed after 1–2 min. Worm track images were captured using WormLab worm tracker (MBF Bioscience) or a Nikon SMZ1270 dissecting microscope with a smartphone camera in Galaxy S21 (Samsung). ImageJ was used to measure turning angles.
Behavioral Data Collection and Analysis
L4 animals were picked approximately 24 hr before the start of the assay. All assay plates were seeded the night before with 200 μL of E. coli OP50 and allowed to dry overnight at room temperature. The assay plates were standard 10 cm diameter petri dishes with low-peptone (0.4 g/L) NGM. All behavioral recordings were conducted using a custom-built closed-loop tracking system at 20 Hz frequency and at 1.4 um/pixel resolution, as previously described (46). On the day of the assay, adult animals were singly picked onto the assay plates, and plates were taped onto the microscope stage face down without a lid and on top of spacers to prevent condensation. After a 15 min period of acclimatization, assay animals were tracked for 3–6 hr, and behavioral parameters (locomotion, egg-laying, feeding and defecation) were extracted using a custom-built R software suit as previously described (46).
Quantification and Statistical Analysis
For Fig. 3D and 3E, Unpaired two-tailed Welch’s t tests were used. For Fig. S1J, unpaired two-tailed Student’s t tests were used. For categorical data, two-sided Fisher’s exact tests were used. Analysis was performed using Prism 9. Error bars represent standard deviations (SD). Asterisks representing p values are as follows: *p<.05, **p<.01, ***p<.001, ****p<.0001.
Supplementary Material
Acknowledgments
We thank members of the Hammarlund laboratory for their comments and suggestions. We thank the Caenorhabditis Genetic Center (funded by National Institutes of Health (NIH) Office of Research Infrastructure Programs P40 OD010440) for C. elegans strains. M.H. acknowledges the Whitman and Fellows program at MBL for providing funding and space for discussions valuable to this work.
Funding
Research in the M.H. lab on this project was initially supported by a MBL Whitman Center Research Award from the Laura and Arthur Colwin Endowed Summer Research Fund of the Marine Biological laboratory in Woods Hole. Work in the Hammarlund lab is funded by NIH NS0942189 and NS100547, and by support from the Kavli Foundation and CZI. Research in the D.A.C.-R. lab was supported by NIH R24-OD016474, NIH R01NS076558, DP1NS111778 and by an HHMI Scholar Award. Additionally N.K. was supported by the Predoctoral Training Program in Genetics NIH 2020 T32 GM. Research in the V.V. lab was supported by the Burroughs Wellcome Fund and the American Federation for Aging Research. D.L and H.R.H. have been supported by NIH R01 GM024663 and the Howard Hughes Medical Institute. D.L. has also been supported by a fellowship from the Korea Research Foundation. H.R.H. is an Investigator of the Howard Hughes Medical Institute.
Footnotes
Competing interests
Authors declare that they have no competing interests.
Data and materials availability
All data are available in the manuscript or the supplementary materials.
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Supplementary Materials
Data Availability Statement
All data are available in the manuscript or the supplementary materials.



