Abstract
Sequential segmentation creates modular body plans of diverse metazoan embryos1-4. Somitogenesis establishes segmental pattern of vertebrate body axis. A molecular segmentation clock in the presomitic mesoderm (PSM) sets the pace of somite formation4. However, how cells are primed to form a segment boundary at a specific location remained unknown. Here we developed precise reporters for the clock and double phosphorylated ERK (ppERK) gradient in zebrafish. We discovered that the Her1/7 oscillator drives segmental commitment by periodically lowering ppERK, thus projecting its oscillation on the ppERK gradient. Pulsatile inhibition of the ppERK gradient can fully substitute the role of the clock and kinematic clock waves are dispensable for sequential segmentation. The clock functions upstream of the ppERK, which in turn enables neighboring cells to discretely establish somite boundaries in zebrafish5. Molecularly divergent clocks and morphogen gradients were identified in sequentially segmenting species3,4,6-8. Our findings imply versatile clocks may establish sequential segmentation in diverse species as long as they inhibit gradients.
Somite periodicity is imposed by a molecular oscillator called the segmentation clock9-13. Disruption of conserved Hes/her oscillator results in segmentation defects in all vertebrates including humans4. Clock oscillations are locally synchronized among neighboring cells and establish kinematic stripes moving from posterior PSM (pPSM) to anterior PSM (aPSM)12,14. Various models are proposed to explain sequential somite segmentation9,15,16. The popular clock and wavefront (CW) model (Fig. 1a) posits a gradient (i.e., the wavefront, Fig.1a, green) moving over cells posteriorly4. Cells falling below a threshold of the gradient become competent to segmentation. During a cycle, the clock (Fig.1a, magenta) triggers a group of competent cells commit to segmentation in mid-PSM (Fig. 1a, cyan). This group eventually form a new somite in aPSM (Fig. 1a, red)4. Supportively, PSM cells experience Fgf/ppERK and Wnt/β-Catenin gradients (Fig. 1a, green)17-19 influencing somite sizes5,17,18,20. However, various molecules in the Fgf and Wnt signaling pathways oscillate in mice and chick21-23, but not in zebrafish embryos18,24. Thus, whether these morphogens function as a universal wavefront is questioned. Moreover, it is unknown how an oscillatory signal could provide reliable positional information by thresholds. Due to these critical knowledge gaps, alternative models omitting the wavefront were also proposed for somite segmentation15,16. Until sequential segmentation of somites is reconstructed at will using key sets of molecules, a mechanistic understanding of the process will be missing.
Clock-dependent ERK dynamics
We previously showed that Fgf signaling directly instructs somite boundaries in zebrafish while Wnt signaling acts permissively5. To reevaluate the perceived species-specific differences in Fgf dynamics, we quantified ppERK gradient in clock-intact embryos that retain at least one copy of the her1/7 genes (displaying intact somite boundaries) alongside their clock-deficient mutant siblings (Df(Chr05:her1,her7)b567/b567 where all somite boundaries are disrupted due to chromosomal deficiency including two clock genes25) (Extended Data Fig. 1a). Axis elongation increases the PSM length continually within any given somite stage. Using the PSM length as a proxy for developmental time, we sorted immunohistochemistry (IHC) data from same somite stage embryos into three phases (Fig.1b; Extended Data Fig. 1b-e) and extracted the ppERK dynamics (Fig.1c-e). Surprisingly, we found that the amplitude of ppERK gradient (Fig. 1d) oscillates within a single somite stage in clock-intact embryos (30% change, Fig. 1c, e). In mutants, we observed a monotonous retreat of ppERK gradient (Fig. 1c). Contrary to previous investigations24,26, we observed ppERK gradient displays amplitude oscillations in zebrafish pPSM driven by clock, similar to that of mice21 (see also Extended Data Fig. 1h-l).
To identify whether the clock activates or inhibits ERK activity to drive its oscillation, we abruptly induced a clock gene using heatshock-inducible transgenic embryos (hsp70l:HA-her1)14,21,28 (Extended Data Fig. 1f). Compared to controls, transgenic embryos receiving a short 10 min heatshock produced detectable overexpression of clock protein (Fig. 1f,g) and decreased ppERK amplitude by 35%, demonstrating swift ppERK inhibition by clock protein (Fig. 1f,g; Extended Data Fig. 1g).
We next sought to simultaneously image the clock and ppERK dynamics in vivo. We generated a new transgenic line for ERK activity by adapting an ERK kinase translocation reporter which translocate from nucleus to cytoplasm upon phosphorylation by active ERK29 (ubi:ERK-KTR(NLS3)-mtagBFP; Extended Data Fig. 2a, see Methods). This reporter quickly responds to ppERK changes in the PSM (Extended Data Fig. 2b,c). Additionally, we generated a new reporter (her7:her7-Venus, see Methods) recapitulating clock dynamics in pPSM (Extended Data Fig. 2d-l). Using our double reporter transgenic fish, we simultaneously imaged the clock and ERK activity at single cell resolution (Fig. 1h,i). We tracked individual pPSM cells longitudinally and found ERK activity oscillating anti-phase with the clock (Fig. 1j,k; Extended Data Fig. 3a-c, Supplementary Video 1). In contrast, ERK activity did not oscillate in PSM cells of her1ci301her7hu2526 clock mutants 30 (Fig. 1l, Extended Data Fig. 3d,e). Live imaging revealed clock-driven anti-phase amplitude oscillations of the ppERK gradient (see also IHC data in Extended Data Fig. 4, Supplementary Discussion 1).
Due to tail elongation, tracked cells consequently occupied mid-PSM and then aPSM. After cells exited pPSM, their ERK activity continuously declined down to the baseline levels in the aPSM, following two trends: 1-) a slower decrease when the clock is not coexpressed, 2-) accelerated decrease when the clock is coexpressed (Fig. 1m; Supplementary Video 1; see also IHC data in Extended Data Fig. 1m). Thus, the clock increased the decline of ERK activity in mid-PSM (Fig.1n).
Reconstructing the somite segmentation
These observations inspired us to revisit the role of clock for driving sequential segmentation. We asked whether the clock drives sequential somite segmentation only by periodically inhibiting the ppERK gradient. If so, the clock can be substituted by pulsatile administration of a drug lowering ppERK levels (Fig. 2a). We simulated the effect of global pulsatile inhibition of Fgf signaling on ppERK dynamics in clock mutants and compared that with the effect of a kinematic clock wave in wild-type embryos (Fig. 2b-d, Methods). Simulations predicted an intermediate strength of inhibition can mimic clock-driven ppERK dynamics (Extended Data Fig. 5a-c). After experimental optimization, we treated clock-deficient mutants with pulses of 30 μM FGFR inhibitor drug SU5402 (or DMSO control) for 10 min separated by 30 min washouts (Fig. 2e). We first observed successful decrease (T0=0 min, T1=12 min) and recovery (T2=36 min) in the amplitude of ppERK gradient (Fig. 2f,g). Importantly, pulsatile inhibition of Fgf signaling in mutants successfully induced somite boundaries (up to 12 somites with 12 pulses, DIC-Nomarski images of live embryos at 24 hours post-fertilization (hpf), Fig. 2h) with sizes similar to those in wild-type embryos (Extended Data Fig. 6a).
To better discern somite boundaries, we performed in situ hybridization for boundary marker xirp2a at 42 hpf and confirmed induced boundaries in mutants (Fig. 2i). Global inhibition of Fgf signaling resulted in side effects in other tissues and many embryos did not survive to later stages. Thus, for a detailed investigation of boundaries, we decreased the number of pulses to five. We developed an unbiased algorithm to quantify intactness of somite boundaries (Extended Data Fig. 7a-d, Supplementary Methods) and found that mutants successfully formed most of the boundaries targeted by five drug pulses (median = 4, Fig. 2j, median = 0 in DMSO controls) in a sequential manner (Extended Data Fig. 6c). The deficiency of remaining incomplete boundaries in mutants was also ameliorated by 72% with pulsatile SU5402 treatment (in median, Fig. 2k). On the contrary, mutants continuously treated with SU5402 failed to form boundaries whereas a fair portion of clock-intact siblings continuously treated with SU5402 still maintained segmentation until drastic axis truncation (Extended Data Fig. 6d). We also observed sustained ERK activity gradient (Extended Data Fig. 6e) in a group of clock-intact embryos even after long inhibition. These controls supported necessity of pulsatile ERK activity for somite segmentation. We further showed that induced somite sizes can be increased in mutants by increasing SU5402 concentration (Extended Data Fig. 6f). We next directly targeted ERK phosphorylation by inhibiting its upstream kinase, MEK (Extended Data Fig. 6g). Pulsatile MEK inhibition likewise induced somite boundaries in clock mutants (Extended Data Fig. 6h, Extended Data Fig. 8h) and triggered ppERK amplitude oscillations (Extended Data Fig. 6i). Pulsatile inhibition experiments, for the first time, reconstructed sequential segmentation of somites in the absence of the segmentation clock. These striking results suggested that the major role of the clock in segmentation is to periodically inhibit the ppERK gradient.
We next investigated whether drug-induced somite boundaries are properly epithelialized and can confine myofiber lengths. We observed well-defined epithelization of cells (marked with strong pFAK localization, Fig. 3a-d, Extended Data Fig. 7e-g) at induced myotome boundaries in mutants (Fig. 3e). Myofibers successfully attached to the induced boundaries (Fig. 3f-i) and their lengths were regular in induced somites, like in clock-intact siblings (Fig. 3j). We concluded pulsatile drug treatment can replace the clock for somite segmentation.
Clock-dependent Oscillatory Gradient model
We then investigated how an oscillatory ppERK gradient can still provide robust positional information for boundary commitment. We previously had shown that a somite boundary is instructed in the mid-PSM where the spatial fold change (SFC) of ppERK between neighboring cells pass over 22% (i.e., determination front) 5. We here propose a “Clock-dependent Oscillatory Gradient (COG)” model in which the clock periodically triggers discrete shifts of the determination front (Fig. 3k, Supplementary Discussion 2). Simulations predicted smooth regression of the determination front in the absence of the clock (Fig. 3l), but its discrete shifts triggered by kinematic clock oscillations (Fig. 3m).
We experimentally validated predictions of the COG model by quantifying the SFC of ppERK from IHC data in clock-deficient mutants and clock-intact siblings. The determination front indeed smoothly regressed in clock-deficient mutants (Fig. 4a), which was also indirectly implied in earlier studies21,26. In clock-intact siblings, while the ppERK gradient amplitude was dramatically decreased in Phase II due to clock (Fig. 1c), determination front did not move (Fig. 4b). In Phase III, ppERK gradient amplitude recovered from repression and the determination front shifted to its next position (Fig. 4b). We further observed determination front dynamics in live embryos (Fig. 4c, Supplementary Video 2). The critical SFC of ERK activity (~22%) regressed gradually in her1ci301her7hu2526 clock mutants (Fig. 4c, top). However, in clock-intact embryos, the critical SFC of ERK activity discretely shifted to its next position (Fig. 4c, yellow arrows). Live tracking verified that cells located at these critical SFC positions later formed the somite boundaries (Fig. 4d-f). Lastly, we found that pulsatile inhibition of Fgf signaling in clock mutants restored the discrete shifts of determination front to induce somites (Fig. 4g).
Simulations of the COG model predicted not high or low but only intermediate drug concentrations can create discrete SFC shifts and induce successful segmentation (Extended Data Fig. 8a). We tested this prediction by treating clock-deficient mutants at optimized 10+30 min regimen with MEK inhibitor doses varying over two orders of magnitude (Extended Data Fig. 8b). Confirmatively, we identified an optimal dose above and below of which somite boundary induction fails (Extended Data Fig. 8c).
We next tested whether different pulse periods can induce different sizes of somites. Somites decreased in size by 22% (51.8±0.9μm to 40.4±1.0μm) with a shorter MEK inhibitor pulse (Extended Data Fig. 8d). This pulse was still sufficient to drive ppERK oscillations (29.5% reduction in gradient amplitude, Extended Data Fig. 8e) and discrete SFC shifts (Extended Data Fig. 8f). Interestingly, shorter MEK inhibition pulses induced 8 boundaries within a comparable region where long pulses in same total duration induced only 5 boundaries (Extended Data Fig. 8g, h). Hence, a population of cells can be grouped into varying number of somites by merely changing periodicity of determination front shifts. We concluded that the clock drives segmentation by periodically inhibiting the ppERK and the SFC mechanism could extract discrete positional information from an oscillatory gradient (Fig. 4h).
After controlling segmental commitment in mid-PSM, the clock establishes the rostrocaudal (RC) polarity of presumptive somites by interacting with a battery of genes in aPSM28. RC polarity is needed for subsequent differentiation of the somitic mesoderm and segmentation of the peripheral nervous system4,31. Establishment of somite RC polarity depend on kinematic clock waves28, but not on ppERK activity18. Therefore, we predicted that global inhibition of the ppERK will not restore the RC polarity in induced somites. To test this prediction, we performed in situ hybridization for mespaa (rostral marker) (Extended Data Fig. 9a), as well as myoD and uncx4.1 (caudal markers, Extended Data Fig. 9b,c). Unlike sibling control embryos, expression of neither mespaa, nor myoD and uncx4.1 were RC polarized in induced somites. These results untangled two consecutive roles of the clock in the PSM (Fig. 4h): 1) In mid-PSM, the clock determines somite boundaries solely by discretizing the position of the determination front. 2) Anteriorly, the clock establishes RC polarity in presumptive somites independent of ppERK signaling18,28.
Discussion
While the segmentation clock is necessary for sequential segmentation in vivo, how it instructs segmental commitment remained unknown4. Here, we showed the clock acts hierarchically upstream of ppERK gradient triggering its oscillations. However, an oscillatory gradient is unexpected to encode reliable positional information at thresholds (according to the CW model). We here revealed the SFC detection can interpret robust positional information from the oscillatory ppERK gradient, while other plausible alternatives (concentration threshold, slope, and temporal fold change) fail to do so (see Supplementary Discussion 3; Extended Data Fig. 10). Therefore, we propose the COG model in which the clock triggers segmental commitment by discretizing positional information (i.e., as an analog-to-digital converter). Restoring this mechanism can drive segmentation in vivo even in the absence of a molecular clock.
Global inhibition of ppERK triggered a segmentation response only in mid-PSM but not in posterior and anterior PSM cells in clock mutants. For instance, cells located in pPSM at the end of all pulses, which experienced several cycles of ppERK oscillations, still failed to segment. Instead, a single boundary commitment was executed only by mid-PSM cells located at the determination front during each pulse (Extended Data Fig. 6b,c). Thus, our results indicate that the clock acts locally and its kinematic waves are not necessary for segmental commitment.
The segmentation clock was previously reported to only affect regression of ppERK gradient in zebrafish24,26 but trigger oscillations of it in mice21. Our results indicate these findings are two sides of the same coin: Swift reduction of ppERK levels by the clock is manifested as ppERK oscillations in pPSM and an accelerated signal drop in mid-PSM. In clock overexpression experiments, ppERK reduction within 10 min (Fig. 1g) is similar to the changes in ppERK amplitude in wild-type embryos (Fig. 1e; Extended Data Figs. 1k and 4), recapitulating the timescale of zebrafish segmentation clock. Prolonged clock overexpression (60 min), comparable with mice segmentation clock timescale, further suppressed the ppERK levels (Fig. 1f,g; Extended Data Fig. 1g). Thus, our results reveal conservation of ppERK gradient dynamics between zebrafish and mice. Although joint targets of Fgf and Wnt signaling oscillate in mice22,32, it is unknown whether nuclear β-Catenin itself oscillates or not. By IHC, we did not observe oscillations in nuclear β-Catenin gradient in zebrafish (Extended Data Fig. 9d-g). Therefore, with its conserved dynamics, the ppERK gradient may function in a universal segmentation mechanism among vertebrates (see Supplementary Discussion 1). Commitment to segmentation occurs cell non-autonomously 5. Therefore, the mechanism decoding the SFC of ppERK could depend on biochemical or mechanical signaling between cells through cell membrane proteins expressed in the PSM such as ephrins, integrins, and cadherins.
Segmental metamerism is a conserved feature of the body plans of diverse bilateria1-4. Because clocks and morphogen gradients differ dramatically among vertebrates and arthropods, it is unclear whether a common design principle governs segmentation across metazoans3,4,6-8. We hereby propose that while the molecules diverge dramatically among species, sequential segmentation can still be achieved as long as a clock stamps its periodicity on a morphogen gradient. Supportively, clock and gradient interactions were also inferred in sequentially segmenting invertebrates3. Furthermore, in synthetic biology, molecular oscillators, diffusible gradients, and juxtacrine signaling have been generated 33-36. We anticipate our findings will inspire engineering repetitively organized tissues in dish 37,38 by utilizing pulsatile perturbation of signaling gradients.
Methods
Animals
All the fish experiments were performed under the ethical guidelines of Cincinnati Children’s Hospital Medical Center; animal protocols were reviewed and approved by Cincinnati Children’s Hospital Medical Center Animal Care and Use Committee (Protocol # 2020-0031). Transgenic Tg(ubi:ERK-KTR(NLS3)-mTagBFP)ci304 (generated in this study, Extended Data Fig. 2a-c), Tg(her7:her7-Venus)ci303 (generated in this study, Extended Data Fig. 2d-l), Tg(hsp70l:HA-her1;ef1α:EGFP)14, and mutant Df(Chr05:her1,her7)b567/+ 25, her1ci301her7hu2526 30, as well as AB wild-type adult fish were used in experiments. Fish were bred and maintained at 28.5°C on a 14/10-hour light/dark cycle. Non-transgenic littermate controls were used in heatshock experiments. Embryos were manually dechorionated in fish system water using needle tips for all experiments.
Generation of Tg(her7:her7-Venus)ci303 transgenic line
We used the 12,106 bp region between the transcriptional start sites of her1 and her7 genes as the promoter and regulatory sequences for her7. We retrieved these regulatory sequences by using BAC recombination technique39 as previously described40,41 to generate a transgenic line for her7 (Extended Data Fig. 2d), which is more critical than her1 in zebrafish segmentation40,42,43. CH211-283H6, which contains the complete her1/7 locus plus adjacent sequence, was used as the host BAC. We inserted a linker sequence from44 between the genomic sequence of her7 (including 5’UTR, protein coding sequences and the introns, but excluding the stop codon and 3’UTR) and XmaI recognition site. We next inserted mVenus coding sequence downstream of XmaI site but upstream of the stop codon, followed by SbfI and AscI recognition sites. We fused an 870 bp sequence (including 365 bp her7 3’UTR and 505 bp following the 3’UTR) downstream of mVenus (Extended Data Fig. 2d). All of these sequences were cloned into the pDestTol2pA plasmid45. One-cell stage wild-type AB embryos were injected with 1-2 nL of 20 ng/μL Tol2 transpose RNA and 25 ng/μL pDestTol2-her7:her7-Venus circular plasmid. We used Venus forward (TGCAGGATCCATGGTGAGCAAGGGCGAG) and her7-3’UTR reverse (AATTGGGCCCAATGGTGAATATTTCACTTTT) primers to screen adult fish for transgene integration by fin clipping and PCR. The Tg(her7:her7-Venus)ci303 line was generated from a founder fish; it displays reproducibly strong oscillating expression and transmits as a single Mendelian locus. We used the reverse strand of mVenus as a probe for in situ hybridization (ISH). The Venus ISH (Extended Data Fig. 2e) confirmed that the transgene is short-lived, and its expression pattern mimics that of her7 with dynamic stripes in the PSM. Importantly, we did not observe somite boundary defects in these transgenic animals. Heterozygous transgenic embryos had the same number of somites as of wild-type fish whereas homozygous transgenic embryos made one less somite similar to previously published Her1-Venus transgenic embryos44,46.
Generation of Tg(ubi:ERK-KTR(NLS3)-mTagBFP)ci304 transgenic line
We first fused ERK-KTR(NLS3)47 (Addgene plasmid #110165 gifted by Iva Greenwald) with mTagBFP48 (pTagBFP-C1, Evrogen) using Spe1 restriction site and inserted into pCS2+ plasmid using BamHI and XbaI restriction sites. To make the transgenic line, we inserted ERK-KTR(NLS3)-mTagBFP construct into pDestTol2-ubi plasmid downstream of ubiquitin promoter using NotI and ClaI sites. We cloned ubiquitin promoter into pDestTol2pA plasmid45 between ApaI and NotI recognition sites. All the cloning was confirmed by Sanger sequencing. It was noted that mTagBFP had a point mutation converting 20th amino acid from aspartic acid to glycine, but this had no detectable effect on the fluorescence of mTagBFP. To create the double reporter transgenic line, we injected Tg(her7:her7-Venus)ci303 heterozygous embryos at the one-cell stage with 150 pg of Tol2 transpose RNA and 70 pg of pDestTol2-ubi:ERK-KTR(NLS3)-mTagBFP. Injected embryos were screened under microscope for blue fluorescence and only the BFP positive ones were raised to obtain founders. The founders (F0) were identified by crossing with Tg(her7:her7-Venus)ci303 homozygous fish and BFP positive embryos were raised for F1 generation. The F2 generation was obtained by crossing F1 fish with Tg(her7:her7-Venus)ci303 homozygous fish. All the experiments were performed on F2 and F3 generations.
Antibodies
The following primary antibodies were used for immunohistochemistry experiments with indicated final concentrations: mouse monoclonal anti-ppERK1/2 (M9692, 1:1000/1.5-2 μg/mL, Sigma), rabbit monoclonal anti-β-Catenin (#9562,1:200, CST), chicken monoclonal IgY anti-GFP (A10262, 5 μg/mL, Invitrogen), rat anti-HA (#3K10, 1:400, Roche), mouse anti-F59 Myosin Heavy Chain (AB528373, 1:10/ 0.2-0.5 μg/mL, DSHB), and rabbit anti-pFAK (44-624G, 1:400, Invitrogen). Primary antibodies were targeted with 1:200 dilutions of Alexa Fluor 488 goat anti-chicken IgG H+L (A11039, Invitrogen), Alexa Fluor 594 goat anti-mouse IgG H+L (A11005, Invitrogen), Alexa Fluor 647 goat anti-rabbit IgG (A21245, Invitrogen) or Alexa Fluor 647 goat anti-rat IgG H+L (A21247, Invitrogen) for corresponding primary species. Alexa Fluor 488 Phalloidin (A12379, 1:200, Thermo Fisher) was used against F-actin of muscle fibers.
Pulsatile Drug Treatments
Clock-deficient mutants and their wild-type/heterozygous siblings were dechorionated using needle tips and phenotype-identified according to their broken/intact somite boundaries. A 10 mM stock solution of SU5402 drug was prepared in DMSO and diluted in fish system water to 30 μM for treatment. Homozygous and sibling embryos were treated together at room temperature in the SU5402 solution to inhibit Fgf receptor activity, or in corresponding DMSO dilution (1:333) as controls. 10 min pulse treatments were followed with a quick rinse in fresh system water and 30 min washout durations in system water at 28°C incubator. 5 treatment pulses were performed beginning from 14 somite stage. SU5402 treated clock-intact sibling controls formed their 17th – 22nd somites bigger than DMSO treated counterparts (Extended Data Fig. 6b). For MEK inhibitor, PD184352, we similarly prepared a 10 mM stock solution in DMSO and diluted it to tested concentrations. To test various drug treatment concentrations and durations (Extended Data Figs. 6e,g, and 8b), we performed 5 treatment pulses beginning from 14 somite stage. For five long vs. eight short pulse experiments with the MEK inhibitor, we used homozygous her1ci301her7hu2526 mutants.
Heatshock Experiments
Transgenic heterozygous hsp70l:HA-her1;ef1α:EGFP male fish were outcrossed with wild-type females, and embryos were raised at 23°C following 50% epiboly stage until the next day. Transgenic fish were identified using the GFP+ transgenic indicator signal under a dissection microscope. Then, embryos were heatshock treated in 60 mL of prewarmed (to 37.5°C in a water bath) fish system water in glass bottles after dechorionation using needle tips. 14-16 somite stages embryos were treated, according to their heatshock durations (10-60 min), so that the end of heatshock stage for all embryos matched to 16 somites before immediate fixation with 4%PFA (4% PFA in PBS) at room temperature (RT). Three control conditions were also fixed as follows: Not heatshocked transgenic siblings (to test possible leaky promoter expression), not heatshocked wild-type siblings (negative control), and longest duration (60 min) heatshocked wild-type siblings (to test possible heatshock artifacts).
smFISH and Imaging
RNA detection by the RNAscope Fluorescent Multiplex Detection kit (Advanced Cell Diagnostics, 320851) and confocal imaging were performed as previously described30. Briefly, Tg(her7:her7-Venus)ci303 embryos were fixed at the 12-14 somite stage. Her1-C3 probe (433201-C3) was diluted with EGFP-C1 probe (400281) solution in 1:50 ratio. Amp4B was used to amplify her1 and Venus transcripts. Flat-mounted PSM tissues were imaged on a Nikon A1R HD confocal microscope with 100× Plan Apo 1.45 NA objective and resonant scanner. Tiled images were acquired to cover the whole PSM tissue with 0.27 μm z-stacks. Images were stitched with Nikon NIS-Elements software.
in Situ Hybridization and Imaging
Transgenic her7:her7-Venus embryos were stained for Venus expression. DIG labeled RNA probes were prepared by in vitro transcription, and anti-digoxygenin (DIG)-AP Fab fragments (Roche, 1093274) were used. Embryos raised at 23°C were fixed at 10-12 somite stages with 4%PFA at RT for 2 hours. Fixed embryos were washed in 0.1%PBS-Tw (0.1% Tween20 in PBS), dehydrated in methanol and rehydrated following previously reported standard in situ hybridization protocols49. In pulsatile drug treatments, rostrocaudal (RC) polarity establishment was characterized by ISH probes for uncx4.1, myoD and mespaa. Mespaa probe was labeled with Fluorescein and anti-Fluorescein-AP Fab fragments (Roche, 1426338) were used and the signal was observed using Perkin Elmer TSA Plus Fluorescein Amplification System in flat-mounted slide samples. Other in situ hybridization samples stained with NBT/BCIP were imaged as whole embryos in petri dishes filled with 1.5% agarose in PBS (wedged-shaped troughs made with a plastic mold plate) on a dissection microscope. Clock-deficient mutants and their wild-type/heterozygous siblings were stained for xirp2a expression. After NBT/BCIP coloration, embryos were briefly fixed and incubated in methanol for clearing the yolk staining. Samples were then equilibrated in 83% glycerol before imaging in glycerol on a Leica LS2 inverted microscope with 10× NA 0.30 dry objective.
Immunohistochemistry and Imaging
Immunostaining of whole embryos was performed as previously described5. For all experiments, embryos were fixed at RT for 2 hours and permeabilized at RT for 1 hour with 2%PBS-Tx before 2 hours serum blocking step at RT. Triple staining was performed for ppERK, β-catenin and Her7-Venus proteins with corresponding antibodies, using MAB-D-Tx (150 mM NaCl in 0.1 M maleic acid buffer, pH 7.5, 1% DMSO and 0.1% Triton X-100 detergent) buffer for washes and 2% fetal bovine serum (FBS) and 0.5% GS in MAB-D-Tx for serum blocking and antibody solutions. For immunostaining of HA-her1 proteins, 0.1%PBS-Tx was used for washes and a serum cocktail (2% normal sheep serum (NSS), 2%w/v BSA and 0.5% GS) in 0.1%PBS-Tx was used for serum blocking and antibody solutions. In Phalloidin and F59 double staining experiments, embryos were stained in Phalloidin diluted in 0.1%PBS-Tw solution after the permeabilization step. 2% BSA and 5%NSS in 0.1%PBS-Tw was used for serum blocking and antibody solutions for F59 staining50. In pFAK experiments, 0.1%PBS-Tx with 0.1%DMSO and 0.5% GS was used for serum blocking and antibody solutions51. Fixed samples in immunostaining protocols were mounted on glass slides (laterally for later than 15 somite stage, flat-mounted for earlier). Nikon A1R GaAsP inverted confocal microscope with a 40× apochromatic λS DIC-water immersion 1.15 NA objective lens (2 μm sectioning, 11 slices around the mid-PSM tissue for somitogenesis stages; 3 μm sectioning, 7 slices covering hindbrain to tail body axis for later stages) was used for imaging.
Live Embryo Imaging
For simultaneous live imaging of segmentation clock and ERK activity, double reporter fish Tg(ubi:ERK-KTR(NLS3)-mTagBFP+/−;her7:her7-Venus+/+) were injected at single cell stage with cocktail mRNA, containing 300 ng/μl of mCherry-CAAX (membrane marker) and H2B-irFP (nuclear marker, we cloned irFP from Addgene plasmid # 111510 kindly gifted by Jared Toettcher Lab into pMTB2-H2B-tagRFPt plasmid kindly gifted by Saulius Sumanas Lab, replacing tagRFP) for cell segmentation. Embryos were incubated at 28°C for 6 hours and then transferred to 23°C for next day imaging. Prior to imaging, embryos were screened for BFP signal. For near-objective imaging, the yolk of 10-11 somite stage whole embryos were punctured in tissue dissection medium and imaged inside tissue growth medium52, with careful consideration not to damage the embryonic body. Embryos were laterally mounted on a coverslip within a PDMS based 150 μm depth chamber with air access for live imaging. During image acquisition, temperature was maintained at 25.0±0.7°C with TOKAI HIT on-stage incubator system. To prevent twitching, embryos were anesthetized with Tricaine in medium.
Time-lapse imaging in 4 fluorescent channels and brightfield channel was performed on a Nikon A1R GaAsP inverted confocal microscope with a Nikon Plan FLUOR 40× 1.3 NA Oil OFN25 DIC N2 objective lens. A 16 μm thick section of mediolaterally centered PSM tissue was imaged at 0.27 μm pixel size in x-y direction and 2 μm z-sectioning for 5-7 hours. Axial elongation and health of the punctured embryos were observed throughout image acquisition. For kymograph analysis of SFC of ERK activity in clock-intact and clock mutant embryos, we performed deep imaging with 21 z-layers in three fluorescent channels, although only 17 z layers (covering one mediolateral side of the PSM) were used for analysis.
For ERK activity reporter response experiments (Extended Data Fig. 2c), we used 20 somite stage whole embryos. The upper body was embedded in 1% agarose in system water and the lower body including posterior somites, PSM and tailbud were uncovered. During imaging, after T=0 of x-axis, we replaced 1:200 DMSO dilution in system water with 50μM SU5402.
For live imaging of clock reporter line, her7:her7-Venus embryos carrying a nuclear marker (tagRFP) were imaged in glass bottom dishes covered with agarose (1% agarose in E3 medium). Cylindrical holes were made in agarose using glass injection needles, and embryos were placed in the wells with lateral orientation, directly against the bottom coverslip. The microscope room was temperature controlled at 22°C throughout the experiments. Transmitted light, YFP channel (mVenus) and RFP channel (nuclear marker) images were taken every 5 min over 14 to 26 somite stages. Nikon A1R GaAsP inverted confocal microscope with a 20× apochromatic λS DIC-water immersion 0.95 NA objective lens (4 μm sectioning).
For pulsatile SU5402 treatment experiments, live embryos near the end of somitogenesis were anesthetized with Tricaine and mounted on glass bottom culture dishes with agarose molds designed to hold embryos laterally by supporting them from their yolks and tails. Imaging is performed under DIC-Nomarski light passing through a polarizer and 10× objective lens on an inverted Nikon Ti-2 microscope, with Andor Xyla 4.2 megapixel, 16-bit sCMOS monochromatic camera (5 μm sectioning).
Statistics and Reproducibility
We used parametric student t-test (two-tailed, without equal standard error assumptions with Welch’s method) for all statistical significance results in between quantifications and consecutive calculations. We used sample-size relevant corrections indicated in figure legends for multiple comparisons. If distributions failed Shapiro-Wilk normality test, we used Mann-Whitney non-parametric rank-comparison test for two data sets, and Kruskal-Wallis non-parametric test with relevant multiple comparison corrections for three or more data sets. For instance, we used Brown-Forsythe ANOVA, unpaired two-tailed test with Welch correction in Fig.1e; Two-tailed Mann-Whitney tests in Fig. 1g and Fig.1n. All numbers of independent repeats of experiments are indicated alongside n numbers indicating total number of independent samples. Fish embryos harvested from at least 5 separate natural spawning were mixed for each experiment. All the statistical tests, curve fitting, and distribution calculations (mean±s.e.m., median and quartiles, confidence intervals) were performed in GraphPad Prism software.
Mathematical Modelling
We expanded our previously published signaling network model5 to 2-D and incorporated the inhibitory effect of clock on ppERK (active ERK) levels. The model consists of the following seven network elements: mRNA of Fgf (mFgf), Fgf protein (Fgf), Fgf receptor-ligand complex (Comp), Clock proteins (Clock), inactive ERK (Erk), active ERK (pErk), and negative feedback inhibitor protein (Inh). The model incorporates time delays for three cellular processes: translation and secretion of Fgf (τL), downstream cascade from receptor complex to ERK phosphorylation (τC ), and transcription and translation of Inh (τI).
The model consists of five ordinary differential equations, one partial differential equation for Fgf protein, and one algebraic equation for the clock protein. Set of equations used in modeling are provided in Supplementary Methods. Reaction rate and time delay values are estimated from physiologically relevant ranges and provided in Supplementary Data Table 1. The clock was modelled as a sinusoidal input, with period nonlinearly increasing from 30 min at the posterior to 86 min at the anterior (from experimental data in Extended Data Fig. 2f).
The simulation space was set as a hexagonal lattice of two-dimensional tissue of 44 × 4 cells, which translates into a physical length of 308 × 28 μm, defining constant cell spacing in the PSM as 7 μm. Only tail bud cells, defined as the most posterior 8 rows of PSM cells, actively transcribed the fgf RNA. We assumed receptor levels are high enough preventing depletion by ligand binding. We maintained a fixed tissue length throughout our simulation; however, to account for tail growth in a real zebrafish PSM, we added a cell at the posterior end while simultaneously removing one from the anterior end of the PSM every 7.7 min (0.911 μm/min tail elongation speed). We employed the forward Euler method to solve the differential equations by implementing a central-difference scheme for the Laplacian diffusion term in Eq. (3) (Supplementary Methods).
For the Fgf protein, we applied a no-flux boundary condition at the posterior end, and an absorbing boundary condition at the anterior end of the tissue. However, the model does not rely on a non-local effect in Fgf signaling due to ligand diffusion. We assumed the clock decreases ppERK levels independently of phosphatases. Clock mutants are simulated by setting the oscillation amplitude of clock as zero. For pulsatile drug treatment simulations of mutants, we repeated treatment with a cycle matching to the experimentally optimized conditions. SU5402/ PD184352 inhibitory drug treatments are defined with a unitless fold-change parameter drug > 1 dropping ERK activation rate as:, for a fractional (pulse) duration of every cycle as pulse = Tdrug/T. The temporal and spatial resolutions are 0.004 min and 8 μm, respectively. Simulations were performed in MATLAB with an Intel Core i7, 2.90 GHz processor and 16 GB RAM.
Extended Data
Supplementary Material
Acknowledgments:
We thank Ifunanya Ejikeme, Hannah Seawall, Matthew Batie, Matthew Kofron, Cincinnati Children’s Imaging Core, and Cincinnati Children’s Veterinary Services for technical assistance, Stephan Knierer for help in generating transgenic clock reporter line, Kemal Keseroglu, Bibek Dulal, Soling Zimik, Cassandra McDaniel, Susan Brown, Linda Holland, Nicholas Holland, Diethard Tautz and Andres Sarrazin for discussions, and Hannah Seawall, Raphael Kopan, Aaron Zorn, Brian Gebelein, Hedda Meijer and Kim Dale for providing feedback on the manuscript. This work was funded by a US N.I.H. (Eunice Kennedy Shriver National Institute of Child Health and Human Development) grant (R01HD103623) to E.M.Ö.
Footnotes
Competing Interests: The authors declare no competing interests.
Additional Information: Supplementary Information is available for this paper.
Data availability:
Original microscopy image files are provided at the BioStudies with accession number: S-BSST895 (https://www.ebi.ac.uk/biostudies/studies/S-BSST895). Source data are provided with this paper.
Code availability:
MATLAB codes and FIJI macros are provided at https://github.com/mfsimsek/erkactivitysegmentation (DOI: https://doi.org/10.5281/zenodo.7098199).
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Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
Original microscopy image files are provided at the BioStudies with accession number: S-BSST895 (https://www.ebi.ac.uk/biostudies/studies/S-BSST895). Source data are provided with this paper.
MATLAB codes and FIJI macros are provided at https://github.com/mfsimsek/erkactivitysegmentation (DOI: https://doi.org/10.5281/zenodo.7098199).