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Research ArticleNew Research, Development

The Midline Axon Crossing Decision Is Regulated through an Activity-Dependent Mechanism by the NMDA Receptor

Jingxia Gao, Tamara J. Stevenson, Adam D. Douglass, Joshua P. Barrios and Joshua L. Bonkowsky
eNeuro 16 April 2018, 5 (2) ENEURO.0389-17.2018; https://doi.org/10.1523/ENEURO.0389-17.2018
Jingxia Gao
1Department of Pediatrics
2Department of Human Genetics
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Tamara J. Stevenson
1Department of Pediatrics
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Adam D. Douglass
3Department of Neurobiology and Anatomy University of Utah School of Medicine Salt Lake City, Utah 84112
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Joshua P. Barrios
3Department of Neurobiology and Anatomy University of Utah School of Medicine Salt Lake City, Utah 84112
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Joshua L. Bonkowsky
1Department of Pediatrics
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  • ORCID record for Joshua L. Bonkowsky
  • For correspondence: joshua.bonkowsky@hsc.utah.edu

Abstract

Axon guidance in vertebrates is controlled by genetic cascades as well as by intrinsic activity-dependent refinement of connections. Midline axon crossing is one of the best studied pathfinding models and is fundamental to the establishment of bilaterally symmetric nervous systems. However, it is not known whether crossing requires intrinsic activity in axons, and what controls that activity. Further, a mechanism linking neuronal activity and gene expression has not been identified for axon pathfinding. Using embryonic zebrafish, we found that the NMDA receptor (NMDAR) NR1.1 subunit (grin1a) is expressed in commissural axons. Pharmacological inhibition of grin1a, hypoxia exposure reduction of grin1a expression, or CRISPR knock-down of grin1a leads to defects in midline crossing. Inhibition of neuronal activity phenocopies the effects of grin1a loss on midline crossing. By combining pharmacological inhibition of the NMDAR with optogenetic stimulation to precisely restore neuronal activity, we observed rescue of midline crossing. This suggests that the NMDAR controls pathfinding by an activity-dependent mechanism. We further show that the NMDAR may act, via modulating activity, on the transcription factor arxa (mammalian Arx), a known regulator of midline pathfinding. These findings uncover a novel role for the NMDAR in controlling activity to regulate commissural pathfinding and identify arxa as a key link between the genetic and activity-dependent regulation of midline axon guidance.

  • activity
  • axon pathfinding
  • hypoxia
  • midline
  • NMDA receptor
  • zebrafish

Significance Statement

While intrinsic neuronal activity is involved in refinement of axon connections, its role in pathfinding decisions is poorly understood. We found that midline axon crossing is regulated by the NMDA receptor (NMDAR). The NMDAR is expressed on axons that cross the midline, and inhibition or knock-down of the NDMDAR led to fewer axons crossing. Precise optogenetic stimulation of neurons rescued the effects of NMDAR blockade, demonstrating that the NMDAR acts by an activity-dependent mechanism. In turn, the NMDAR affects expression of arxa, an important gene for brain development and that is associated with several human neurologic diseases. These results show a critical role for the NMDAR in early axon guidance decisions by control of neuronal activity.

Introduction

A key common feature in the CNS of invertebrates and vertebrates is the establishment of a bilaterally symmetric nervous system, which in turn requires forming connections between the two sides. Most axons cross the midline once and do not cross again, while a smaller percentage remain ipsilateral and never cross (Garbe and Bashaw, 2004). Genetic regulation of the midline crossing decision has been intensely studied since the 1990s, leading to the identification of canonical axon guidance gene families, including the Robos, Slits, Netrins, Dccs, Uncs, Derailed, Frizzleds, and Wnts (Dickson, 2002). Abnormalities of commissural axon tracts, caused by genetic disorders or premature birth, are associated with a variety of neurodevelopmental disabilities ranging from isolated intellectual impairment to autism spectrum disorder (Hardan et al., 2009; Izzi and Charron, 2011; Marsh et al., 2017).

The standard model of pathfinding in vertebrates consists of two parts: an early, “hard-wired” genetically controlled phase; and later, neuronal activity refinement of connections, particularly of synapses. A defined genetic cascade, culminating particularly in the expression of cell-surface receptors and ligands, guides early pathfinding; whereas intrinsic neuronal activity appears to be regulated separately for later aspects of connectivity development (Bixby and Harris, 1991; Katz and Shatz, 1996; Tessier-Lavigne and Goodman, 1996; Yamamoto and López-Bendito, 2012; Kutsarova et al., 2017). However, recent studies have shown an early role for neuronal activity in the development of normal connectivity (Hanson and Landmesser, 2004; Spitzer, 2006). For example, the terminal projection determination of retinofugal, retinotectal, and commissural axons require neuronal activity (Schmidt et al., 2000; Mizuno et al., 2007, 2010, Dhande et al., 2011), and interhemispheric coordinated activity is necessary for final targeting of axon projections once they have crossed the midline (Suárez et al., 2014). Whether there is a mechanism linking genetic regulation and neuronal activity, or whether the two act independently, is uncertain, with conflicting evidence for both possibilities (Hanson and Landmesser, 2004; Nicol et al., 2007; Cang et al., 2008; Benjumeda et al., 2013).

Thus, key unresolved questions remain regarding the role of activity and commissural axon projections. First, it is not known whether the choice for midline crossing requires intrinsic activity in the axons. If activity is required for the midline crossing choice, what controls their activity? Second, in early development, during the period classically considered to be primarily hard-wired and genetically regulated, is there a mechanism linking neuronal activity and gene expression?

To address these questions, we tested the role of activity in the midline crossing choice using embryonic zebrafish (Danio rerio) to visualize guidance decisions. The embryonic zebrafish is well suited for analysis of axon guidance: it is transparent, facilitating visualization of pathfinding; and experimentally accessible to pharmacological, optogenetic, and genetic manipulation. To explore the requirement for activity, we examined the role of the NMDAR for three reasons: first, because of its known role in axon refinement and branch maturation (Ben Fredj et al., 2010); second, because the NMDAR is widely expressed in the early zebrafish embryo CNS (Cox et al., 2005); and third, prior work has shown that NMDARs are present in axon growth cones (Wang et al., 2011; Gill et al., 2015), but their involvement in axon guidance has not been studied and no evaluation of their functional role has been performed.

Here, we report that the NMDAR is required for midline axon crossing. We found that the NR1.1 subunit of the NMDAR (grin1a) is expressed in a population of commissural axons. Pharmacological inhibition or CRISPR knock-down of grin1 leads to defects in midline crossing. Inhibition of neuronal activity phenocopies the effects of grin1 loss. Finally, we use optogenetic stimulation to precisely rescue neuronal activity in pharmacologically treated embryos, demonstrating that the NMDAR’s role in pathfinding is mediated by neuronal activity. We find that the NMDAR may act, via modulating activity, on the transcription factor arxa (mammalian Arx), a known regulator of midline pathfinding. Thus, our study demonstrates a novel role for the NMDAR in early commissural pathfinding and demonstrates an early requirement for neuronal activity in midline axon guidance.

Materials and Methods

Ethics statement

Zebrafish experiments were performed with supervision and in accordance of guidelines from the University of Utah Institutional Animal Care and Use Committee, regulated by federal law (the Animal Welfare Act and Public Health Services Regulation Act) by the United States Department of Agriculture and the Office of Laboratory Animal Welfare at the National Institutes of Health, and accredited by the Association for Assessment and Accreditation of Laboratory Care International.

Fish stocks and husbandry

Adult fish were bred according to standard methods and staged by time and morphology (Kimmel et al., 1995). Embryos were raised at 28.5°C in E3 embryo medium with methylene blue and embryos beyond 24 h postfertilization (hpf) were treated with phenylthiourea (PTU) to prevent pigmentation.

Transgenic fish lines and alleles used in this study were the following: Tg(th2:Gal4-VP16)zd202 (McPherson et al., 2016), Tg(foxP2-enhancerA.2:egfp-caax)zc69; Tg(cmcl2:EGFP; foxP2-enhancerA.2:Gal4-VP16413-470)zc72 (Stevenson et al., 2012); and Tg(UAS:ChR2-YFP)a144 (Lacoste et al., 2015). Lines are available from the Zebrafish International Resource Center or on request.

Hypoxia conditions

To induce hypoxia, embryonic zebrafish were placed in a sealed Plexiglas chamber connected via a controller that monitored and adjusted nitrogen gas flow to a desired pO2 set point (Biospherix, Inc.; Stevenson et al., 2012). Embryos were incubated in 1% O2 from 24 to 36 hpf. Morphologic staging was used to determine age at fixation for analysis.

Scoring tract of the commissure of the posterior tuberculum (TCPTc) C/L ratios

Evaluation of the TCPTc axon midline crossing defects was determined by the following approach. Briefly, a confocal z-stack was taken of the region using identical confocal settings (20× objective, imaging speed: 8 μs/pixel, laser power: 30%, gain: 1.25%, offset: 5%). We used ImageJ to generate a maximum intensity projection of 11 slices (step size: 2 μm); then subtracted the background fluorescence by using a rolling ball radius of 50 pixels. We measured the total fluorescence intensity of a rectangular area (10 × 30 μm) placed over the commissure of TCPT pathway, or of the longitudinal tract before its decussation into the commissure. A ratio of commissural versus longitudinal axon intensity (C/L ratio) was calculated (Stevenson et al., 2012; Xing et al., 2015). Since experimental variation was noted, results were only compared between experiments performed on the same day. At least 10 embryos were imaged for each treatment.

Immunohistochemistry and in situ hybridization

For in situ hybridization and immunohistochemistry, embryos were fixed in 4% paraformaldehyde (PFA) in PBS overnight at 4°C, washed briefly in PBS with 0.1% Tween 20, dehydrated stepwise in methanol (25%, 50%, 75%, 100%), and stored in 100% MeOH at −20°C until use.

Immunohistochemistry was performed as described previously (Bonkowsky et al., 2008). Following fixation and dehydration in methanol, embryos were rehydrated, permeabilized using proteinase K [10 μg/ml in PBS with 0.1% Tween 20 (PBST)] at 28°C for 60 minutes (min) (8 min for 24 hpf, 20 min for 36 hpf, and 30 min for 48 hpf) without rocking, washed twice in PBST for 5 min then re-fixed for 15 min. Embryos were then washed in PBST, blocked in PBST/1% DMSO/2% BSA/5% normal goat serum (NGS), and then incubated overnight in a primary antibody solution diluted in PBST/1% DMSO/2% BSA/2% NGS at 4°C. The next day embryos were washed in PBST/1% DMSO/1% NGS for a minimum of 6 h, followed by incubation overnight with secondary antibodies, and washed the following day.

Antibodies used were the following: chicken polyclonal green fluorescent protein (GFP) antibody 1:1000 (Aves Lab, GFP-1020), rabbit polyclonal anti-VGluT1 1:100 (Abcam, ab77822), mouse anti-acetylated tubulin 1:250 (Developmental Studies Hybridoma Bank, 6G7), mouse monoclonal anti-GluN1 1:50 (Synapse System, #114 011), goat polyclonal anti-EphrinB2a 1:20 (R&D Systems, AF496), Alexa Fluor 488-conjugated goat anti-chicken 1:400 (Invitrogen, A-11039), Cy3 conjugated anti-rabbit 1:400 (Invitrogen, A10520), and Alexa Fluor 555-conjugated donkey anti-mouse 1:400 (Invitrogen, A-31570).

Whole-mount in situ hybridization for NR1.1 was performed using an anti-sense probe (Cox et al., 2005) following our previous protocol (Bonkowsky and Chien, 2005).

For in situ hybridization combined with immunohistochemistry, after in situ hybridization was completed, embryos were transferred sequentially through 5%, 15%, and 30% sucrose in PBS. Embryos were then embedded in optimal cutting temperature compound (OCT; Tissue-TeK) using a dry ice-ethanol bath and stored at −80°C overnight. Fourteen-micrometer sections were cut for immunostaining. Sections were boiled for 20 min with citrate buffer (10 mM sodium citrate and 0.05% Tween 20; pH 6.0) for antigen retrieval, and immunostaining was performed as described above.

RNA extraction, reverse transcription, and quantitative real-time polymerase chain reaction (qRT-PCR)

The 24 hpf whole embryos or the head tissue of 48 hpf embryos were homogenized in TRIzol reagent (Ambion) and total RNA was extracted and purified with the RNeasy mini kit (QIAGEN). An aliquot of each extract was used for spectrophotometry to determine RNA quality and concentration. cDNA was synthesized from total RNA (2 μg; 20-μl final reaction volume) with oligo(dT) priming using SuperScript III reverse transcriptase (ThermoFisher) according to the manufacturer's instructions. The resulting cDNA was diluted 4–20 times for the real time quantitative PCR. Samples were prepared with three independent biological replicates. RT-PCR was performed on an ABI prism 7900 HT instrument (Applied System) with a SYBR green fluorescence label. qRT-PCR for grin1a and grin1b was performed on 24 and 48 hpf embryos. Reactions were run with the following conditions: 95°C for 10 min and 40 cycles of 95°C 20 s (s)/60°C 20 s/72°C 40 s. Each reaction was performed in triplicate and the mean of replicates was calculated; results were normalized to the mRNA level of each gene in normoxia embryos at 24 and 48 hpf with elongation factor 1α (elf1a) transcript levels as a control using the 2−ΔΔCT method (Livak et al., 2001). For statistical analysis, Student’s t test was used to compare between normoxia and hypoxia groups. Primers for grin1a were forward 5’-AAGCCAACTACGCTGGAAGG-3’ and reverse 5’-CAATTGGGCGTCCTGGGAT-3’; for grin1b were forward 5’-TTGACAACAAGCGAGGACCC-3’ and reverse 5’-CGTCTTCACTTGCAGACAGGA-3’; and for elf1a were forward 5’-CTTCTCAGGCTGACTGTGC-3’ and reverse 5’-CCGCTAGCATTACCCTCC-3’ (McCurley et al., 2008).

Grin1a and grin1b CRISPR/Cas9

One-cell stage embryos were injected with 400 pg of cas9 nuclease 3NLS (Integrated DNA Technologies) and 200 pg each of grin1a and grin1b sgRNA. sgRNAs were targeted to the following sequences in grin1a: GCAGGAGCAGGAGAACAACG and in grin1b: GATGGCACTCTCCGTGTGCG. sgRNA synthesis was followed the protocol as described previously. Embryos were collected at 24 hpf for mutation analysis using PCR and high-resolution melt analysis (HRMA). Genomic DNA was prepared from 24 hpf embryos and PCR was performed using the following primers: grin1a forward 5’-ATGCGTCTGCTTCTGCTGGC-3’ and reverse 5’-CTTCTGGCTCAGGACAGCCC-3’, and grin1b forward 5’-GTCACCCATAAGCCAAACGCC-3’ and reverse 5’-GACCTGAACAGACTGTTTTACCTGG-3’. HRMA was performed on a LightScanner-96 instrument (Idaho Technology) from 65°C to 95°C with a temperature transition rate of 0.1°C/s. For sequencing the targeted regions in F0 founders, PCR amplicons were cloned into pCR4-TOPO TA vector (Invitrogen). Plasmids were prepared from single colonies and Sanger sequenced to identify the mutation(s).

Microscopy and image analysis

Image acquisition and analysis were performed as described previously (Stevenson et al., 2012). Immunostained embryos were transferred sequentially into 20%, 50%, and 80% glycerol in PBST, mounted in a glass slide with a #0 coverslip placed over a well made using electrical tape, and imaged on a confocal microscope (Olympus FV-1000). Confocal stacks were projected in ImageJ and composed with Adobe Illustrator.

To compare fluorescence intensity of neuron cell bodies in control versus APV-treated embryos, we took confocal images with identical settings. Following image acquisition, we generated maximal intensity z-stack images and subtracted background using the rolling ball (100) setting in ImageJ. For each hemi-telencephalon we measured the fluorescence intensity using a square of set size which included all the cell bodies. We calculated total fluorescence intensity = area*mean intensity, and then averaged the hemi-telencephalon values for each single embryo.

Drug treatment

The drugs used in this study were 500 μM D-APV (Tocris), 500 μM MK-801 (Tocris) and 500 μM NMDA (Tocris). Embryos were manually dechorionated at 24 hpf before drug exposure. PTU-containing E3 media were mixed with the respective drugs unless otherwise noted. Embryos were incubated with the drugs from 24 to 72 hpf and were fixed at 72 hpf.

For NMDA experiments, magnesium-free E3 medium (5 mM NaCl, 0.17 mM KCl, 0.33 mM CaCl2, and 0.00002% methyl blue) were used. The embryos were incubated in PTU-containing magnesium-free E3 medium mixed with NMDA in normoxic or hypoxic conditions.

Western blot analysis

Thirty embryos (72 hpf) were deyolked by incubating in deyolking buffer (65 mM NaCl, 1.7 mM KCl and 1.5 mM NaHCO3) for 10 min and triturating vigorously. Protein was extracted by grinding embryos with pestle in a 60 μl of lysis buffer [150 mM NaCl, 20 mM Tris-HCl (pH 7.5), 1 mM EDTA, 1% NP-40, and 1% Triton X-100 and protease inhibitor; 1:100, Sigma] on ice. The extract was centrifuged for 10 min at 4°C, and the supernatants were transferred to a new tube. The protein extract was then mixed with an equal amount of 2× Laemmli buffer [20% glycerol, 4% SDS, 0.1% bromophenol blue, 0.125 M Tris (pH 6.8), and 2.5% β-mercaptoethanol] and heated at 95°C for 10 min. Samples were stored at −20°C until use.

A total of 40 μl of samples was then run on a 4–20% gradient gel (Miniprotean TGX Gel Bio-Rad), and electro-blotted onto a PVDF membrane. After blocking with 3% non-fat milk in TBS (50 mM Tris, 0.138 M NaCl, and 2.7 mM KCl; pH 8.0) for 30 min with agitation, the membrane was split, and then incubated in mouse monoclonal anti-GluN1 antibody (Synapse System, #114 011, 1:100), anti-EfnB2a (R&D Systems, AF1088, 1:20), or rabbit anti-β-actin (Abcam, ab8227, 1:1000) at 4°C overnight; washed in TBS; and then incubated in HRP-anti-mouse (Cell Signaling, #7076, 1:1000) or HRP-anti-rabbit (Cell Signaling, #7074, 1:5000) for 1 h at room temperature. Following incubation with secondary antibody, the membrane was washed extensively in TBS containing 0.05% Tween 20 and then subjected to chemiluminescent detection (WesternBright Quantum, Advansta). The intensity of specific bands was quantitated using ImageJ in three separate experimental replicates.

Optogenetics experiment and genotyping of the embryos

For optogenetics experiments, embryos were obtained from matings of Tg(foxP2:egfp-caax); Tg(cmcl2:GFP; foxP2:gal4-VP16) fish crossed with Tg(th2:gal4-VP16); and Tg(UAS:ChR2-YFP) fish. Activation from the Tg(UAS:ChR2-YFP) line was demonstrated previously (McPherson et al., 2016). The 24 hpf embryos were dechorionated and stimulated with 470-nm light exposure from a high-power LED at 0.6 mW/mm2, distributed uniformly across a 35-mm Petri dish with a condenser lens. The embryos were stimulated for 48 h, consisting of a 5-s exposure and intervening 300 s off, from 24 to 72 hpf. The embryos were fixed at 72 hpf and subjected to immunohistochemistry analysis. After completion of immunohistochemistry, embryos were mounted and fin-clipped correspondingly, and the genotype was determined by PCR for the presence of UAS:ChR2-YFP (which is indistinguishable in the cross from EGFP-caax) and for the absence of th2:Gal4 (which is not apparent until ∼4 dpf). The primers for Tg(UAS:ChR2-YFP) were forward 5’-GATGGATTGAATCTCGCGGC-3’ and reverse 5’-GTTGCTCAGGCGGATAAGGA-3’ and for Tg(th2:Gal4-VP16) were forward 5’-TAAATTGCGGGGATGTGGCC-3’ and reverse 5’-GGTTTTTCTTTGGAGCACTTGAGC-3’.

Statistical analysis

Analysis was done blinded to experimental condition and/or genotype. Experiments were performed before assignment of sex in zebrafish, during embryonic and larval stages. C/L ratios and Western blotting intensities were tested for significant differences using Student’s t test. qRT-PCR p values were adjusted using Benjamini–Hochberg false discovery rate. For all analyses, p < 0.05 was considered significant. Analyses were conducted with Prism 6 (GraphPad).

Results

The NMDAR subunit NR1.1 (grin1a) is expressed in crossing axons

To study the role of NMDAR in midline axon pathfinding, we used the transgenic line Tg(foxP2-enhancerA.2:egfp-caax), which expresses membrane-bound GFP in a subset of neurons in the telencephalon (Stevenson et al., 2012). Tg(foxP2-enhancerA.2:egfp-caax) neurons project axons in the anterior commissure, longitudinal pathways, and the diencephalic TCPTc (Wilson et al., 1990). The TCPTc axons start to extend by 24 hpf; by 36–48 hpf, axons begin to cross the midline; and most axons have crossed by 72 hpf (Stevenson et al., 2012; Xing et al., 2015). The Tg(foxP2-enhancerA.2:egfp-caax) line is particularly useful for visualizing midline crossing because it labels a subset of telencephalic neurons and axons (∼500–1000 in each hemi-telencephalon).

We examined expression of the NMDAR subunit GluN1 (grin1a). We found that grin1a is expressed in TCPTc axons at 24 hpf, as they extend and prepare to cross the midline (Fig. 1A–B’’). Next, we evaluated whether there is a source of glutamate that could serve as a ligand for the NMDAR. We observed that TCPTc axons pass near regions expressing Vglut1 (slc17a7a), the vesicular glutamate transporter expressed on neurons that release glutamate (Takamori et al., 2001; Fig. 1C–D’’’). These findings show that the NMDAR is expressed in TCPT commissural axons, and that there is a glutamate source for the TCPT axons as they prepare to cross the midline.

Figure 1.
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Figure 1.

foxP2-enhancerA.2:egfp-caax axons coexpress and are adjacent to a glutamate source (Vglut1 expression). A–B’’, Sections of 24 hpf embryos, α-GFP immunohistochemistry, and grin1a in situ, rostral top; scale bar = 50 µm, 25 μm (B–B’’). Red boxed inset in first panel shows embryo stained with grin1a sense probe. Tg(foxP2-enhancerA.2:egfp-caax) embryo has coexpression of GFP and grin1a in TCPT axons. C–D’’, Confocal whole-mount images of 36-hpf embryos, α-GFP immunohistochemistry, α-Vglut1 immunohistochemistry, and DAPI nuclear stain, rostral top; scale bar = 50 µm, 10 μm (D–D’’). TCPT axons pass adjacent to glutamatergic neurons. E–G, NMDAR blockade reduces midline crossing. E–F, Confocal image of Tg(foxP2-enhancerA.2:egfp-caax) embryos, showing where measurements were made for the intensity of commissural (C) and longitudinal (L) axon tracts (for details, see Materials and Methods). Maximum intensity z-stack projections, α-GFP immunohistochemistry, rostral top; scale bar = 50 µm. TCPTc midline axon crossing is disrupted (arrow) when treated with APV (F) compared to control (E). G, H, Confocal images of the telencephalon show no difference in overall axon projection patterns and densities of APV-treated compared to control embryos. Maximum intensity z-stack projections, α-acetylated tubulin immunohistochemistry, rostral top. I, Scatterplot C/L quantification results performed at 72 or 96 hpf; *p < 0.05; **p < 0.01; ANOVA with post hoc Tukey’s HSD or Student’s t test. Data are in Extended Data Figures 1-1, 1-2.

Inhibition of NMDAR decreases midline crossing

We used pharmacological inhibition of the NMDAR to test its necessity for midline crossing. To quantify the extent of the crossing defect, we measured the ratio of commissural to longitudinal axon crossing (the C/L ratio) in the TCPT commissural axons of Tg(foxP2-enhancerA.2:egfp-caax) using our previous methods (Stevenson et al., 2012; Xing et al., 2015; Fig. 1E,F). Using APV (2-amino-5-phosphonopentanoic acid), a competitive NMDAR antagonist that blocks the glutamate binding site; or MK-801 (dizocilpine), an uncompetitive NMDAR antagonist that is use- and voltage-dependent; we found a significant decrease in crossing axons at 72 hpf (one-way ANOVA; control, APV, MK-801; n = 32, n = 19, n = 15; mean C/L 1.0, 0.61, 0.59; SD 0.43, 0.30, 0.23; F(2,63) = 10.3, p < 0.001; post hoc Tukey’s HSD control versus APV, p < 0.01; control vs MK-801, p < 0.01; Fig. 1E,F,I; Extended Data Figs. 1-1, 1-2). Importantly, the decrease in crossing axons was not simply due to a delay in development; the C/L ratio was also still significantly different at 96 hpf, >24 h after the end of drug exposure (n = 15 each, control and APV, mean C/L 1.0, 0.76; SD 0.20, 0.30; p < 0.05, Student’s t test; Fig. 1I). Also, the effect of APV was not due to an overall change in axon outgrowth. Visualization with the pan-axonal anti-acetylated tubulin antibody showed no difference between control and APV-treated embryos in terms of overall axon staining (Fig. 1G,H).

Treatment with APV or MK-801 did not adversely affect embryo morphology or development. Further, the treatment did not change properties of the reporting transgene: we found that APV did not change fluorescence of the foxP2.A.2:egfp-caax transgene line. We measured intensities of the neuron cell bodies and found that in control compared to APV-treated, average total fluorescence pixel intensity was 1.11 × 106 versus 1.18 × 106 (n = 8 each, both hemi-telencephalon cell groups counted, SD 5.6 × 104 vs 3.3 × 105, Student’s t test, p = 0.62). These results suggest that NMDAR function is necessary for normal midline crossing.

NMDAR interacts genetically with known modulators of midline crossing

Previous work has shown that the midline crossing decision can be modulated by exogenous signaling due to potential environmental factors, including hypoxia or exposure to serotonergic compounds (Pocock and Hobert, 2008; Bonnin et al., 2011; Stevenson et al., 2012; Xing et al., 2015). Since we had observed that pharmacological inhibition of NMDAR caused a similar midline axon phenotype, this suggested a potential shared or interacting mechanism. To explore this, we tested whether the NMDAR interacted with hypoxia and with serotonin signaling. It has been shown that hypoxia reduces TCPTc crossing (Stevenson et al., 2012), and hypoxia is known to affect NMDAR activity and expression (Kobayashi and Millhorn, 2000; Mishra et al., 2001). We assessed grin1a and grin1b, the paralogs of the GluN1 subunit of the NMDAR. First, we found that hypoxia reduced expression of grin1a and grin1b (Fig. 2A,B). Addition of exogenous NMDA rescued the effects of hypoxia on TCPTc crossing (Fig. 2C; one-way ANOVA; normoxia, normoxia with NMDA, hypoxia, hypoxia with NMDA; n = 18 each; mean C/L 1.0, 0.93, 0.42, 0.81; SD 0.29, 0.39, 0.43, 0.42; F(3,73) = 8,7, p < 0.001; post hoc Tukey’s HSD normoxia vs hypoxia, p < 0.01; hypoxia vs hypoxia with APV, p < 0.05; normoxia with APV vs hypoxia, p < 0.05).

Figure 2.
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Figure 2.

The NMDAR interacts with other known mechanisms to control midline crossing. A, B, Hypoxia causes reductions of grin1a and grin1b subunit expression at 24 and 48 hpf, during TCPT midline crossing. qRT-PCR, triplicate experiments, normalized to elf1a. Error bars, SEM; *p < 0.05; **p < 0.01. C–E, Scatterplot C/L results for TCPT crossing, ns, not significant; *p < 0.05; **p < 0.01; ANOVA with post hoc Tukey’s HSD. C, Hypoxic reduction of midline crossing is rescued by addition of NMDA. D, Blockade of NMDAR does not worsen hypoxia impairment of midline crossing. E, Increased serotonin signaling rescues midline crossing defect from NMDAR blockade.

In contrast, blockade with APV did not worsen the phenotype caused by hypoxia (Fig. 2D; one-way ANOVA; normoxia, normoxia with APV, hypoxia, hypoxia with APV; n = 16 each; mean C/L 1.0, 0.81, 0.78, 0.74; SD 0.16, 0.21, 0.25, 0.24; F(3,67) = 5.0, p < 0.01; post hoc Tukey’s HSD normoxia vs normoxia with APV, p < 0.05; normoxia vs hypoxia, p < 0.05; normoxia vs hypoxia with APV, p < 0.01). We also explored the interaction between serotonergic signaling and NMDAR’s effects, because it has been shown that the serotonin receptor htr2a is necessary for TCPT crossing and is a mediator of hypoxia’s effect (Xing et al., 2015). We found that increasing available serotonin by using fluoxetine, a serotonin re-uptake inhibitor, restored a normal ratio of midline crossing in APV-treated embryos (Fig. 2E; one-way ANOVA; control, APV, fluoxetine, fluoxetine with APV; n = 16 each; mean C/L 1.0, 0.56, 0.96, 1.0; SD 0.16, 0.21, 0.25, 0.24; F(3,66) = 4.6, p < 0.01; post hoc Tukey’s HSD, control vs APV, p < 0.05; APV vs fluoxetine, p < 0.05; APV vs APV with fluoxetine, p < 0.01). These results suggest that the role of the NMDAR in midline crossing interacts with previously described mechanisms regulating midline axon crossing. Further, this suggests that hypoxia’s effects on midline crossing are caused in part by a reduction in NMDAR expression.

NMDAR CRISPR knock-down and pathfinding

Next, we evaluated whether knock-down of grin1a and grin1b using CRISPR led to reduced TCPTc crossing. After CRISPR knock-down of grin1a and grin1b, PCR amplification followed by HRMA showed loss of the wild-type alleles for grin1a and grin1b; sequencing of 16 PCR amplicons from the grin1a and grin1b locus showed a >80% mutagenesis rate at the target sites (Fig. 3A). Examples of the mutations at the grin1b locus show out of frame deletions or insertions in 14/16 clones (Fig. 3A); 2/16 clones were larger deletions or rearrangements in which the 5’ end could not be identified. With CRISPR knock-down we observed a >50% reduction in GluN1 expression on a Western blotting (Fig. 3B,C). CRISPR grin1a/b knock-down led to visibly and quantifiably less crossing (Fig. 3D–F). These results show that grin1a and grin1b mediate the function of midline crossing for the NMDAR.

Figure 3.
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Figure 3.

CRISPR knock-down of grin1a/b reduces TCPT crossing. A, top panels, Normalized melt curves of PCR amplicons from individual CRISPR-injected embryos. Red melt curves show significant difference from wt curves; blue melt curves, wt controls; gray melt curves, experimental (injected) not different from wt. Y-axis, normalized fluorescence; x-axis, temperature. Bottom panel, Sequences of clones recovered from PCR amplicons at the grin1b locus following CRISPR mutagenesis. B, C, GluN1 levels (α-NMDAR) are decreased following CRISPR knock-down. Whole-animal Western blotting at 72 hpf and quantification. Triplicate, n > 5 embryos each experiment; **p < 0.01, Student’s t test. Error bars, SEM. D, E, Tg(foxP2-enhancerA.2:egfp-caax) embryos, maximum intensity z-stack projections, α-GFP immunohistochemistry, rostral top; scale bar = 50 µm. TCPTc midline axon crossing is disrupted (arrow) when treated with gRNA (E) compared to control (Cas9 protein alone; D). F, CRISPR quantification, scatterplot C/L results for TCPT crossing; *p < 0.05; Student’s t test.

NMDAR regulation of the midline crossing decision is neuronal activity dependent

The NMDAR can affect cellular processes through several mechanisms, including second messenger systems and activity dependent mechanisms (Papadia and Hardingham, 2007; Kilb et al., 2011; Zhang-Hooks et al., 2016). We had found previously that midline axon crossing of the TCPTc requires down-regulation of ephrinB2a (Stevenson et al., 2012; Xing et al., 2015), and eph/ephrins have been shown to have functional effects on NMDAR function (Dalva et al., 2000; Takasu et al., 2002; Nolt et al., 2011). We tested whether NMDAR regulated ephrinB2a levels. Following APV treatment, we did not find any changes in ephrinB2a protein levels in the telencephalon (Fig. 4A), using Western blotting with four separate experiments of protein extracts derived from embryo heads. This argues against ephrinB2a mediating NMDAR’s effect on pathfinding. However, inhibition of neuronal activity, using the sodium channel blocker tricaine (MS-222) (Ramlochansingh et al., 2014), reduced TCPT midline crossing (Fig. 4B). Further, similar to the observed interaction between APV blockade and rescue with fluoxetine, we found that fluoxetine could rescue the TCPT crossing defect caused by tricaine treatment (Fig. 4C). These results indirectly suggest that the NMDAR could act to control the midline pathfinding decision through an activity-dependent mechanism.

Figure 4.
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Figure 4.

The midline crossing decision is regulated by neuronal activity controlled by the NMDAR. A, EphrinB2a (EfnB2a) levels are unchanged in the telencephalon with APV treatment. Bar graphs show confocal quantification in telencephalon; ns, not significant; Student’s t test. Error bars, SEM. Western blotting of the four separate experiments with actin control is shown below. B, Tricaine quantification, scatterplot C/L results for TCPT crossing; *p < 0.05; Student’s t test. C, Fluoxetine rescues effects of tricaine on TCPTc. Intensity ratio data shown with values normalized to controls as bar graphs; *p < 0.05; Student’s t test; error bars, SEM. D, Schematic workflow of optogenetic analysis. Embryos were dechorionated and exposed to APV and 470-nm light exposure from 1 to 3 dpf. Embryos were double-transgenic for foxP2:egfp-caax; foxP2:Gal4. Some embryos carried UAS:ChR2-YFP (determined by post hoc genotyping). If neuronal activity could rescue pathfinding, only triple-transgenic embryos would have normal midline pathfinding (arrow). Bottom pictures, In situ c-fos analysis of experimental embryos after 470-nm light exposure. Embryos carrying ChR2-YFP have increased c-fos expression (red arrow in region of foxP2.A.2 neurons). E, Results of optogenetic experiment show that specific restoration of activity in foxP2.A.2 neurons is sufficient to rescue APV inhibition. Top plot, Double-transgenic embryos (no channelrhodopsin) have no rescue. Bottom plot, Triple-transgenic embryos restore midline pathfinding. C/L scatterplot results; ns, not significant; **p < 0.01; Student’s t test.

To demonstrate that the NMDAR was regulating activity levels; and to test the cell-type specificity of NMDAR action, we conducted a series of optogenetic experiments (Fig. 4D,E). Embryos were dechorionated and exposed to APV and 470-nm light exposure from 1 to 3 dpf. All embryos were double-transgenic for Tg(foxP2.A.2:egfp-caax); Tg(foxP2.A.2:Gal4-VP16). Some embryos carried Channelrhodopsin2 under the inducible control of a UAS promoter, Tg(UAS:ChR2-YFP), which was determined by post hoc genotyping. If neuronal activity could rescue pathfinding, only triple-transgenic embryos would have normal midline pathfinding in the presence of APV. We found that triple-transgenic, but not double-transgenic embryos, had normal midline TCPT crossing. in situ expression analysis c-fos of experimental embryos following 470-nm light exposure showed that embryos carrying ChR2-YFP had increased neuronal activity, indicated by increased c-fos expression (red arrow in region of foxP2.A.2 neurons; Fig. 4D). These results show that the NMDAR is acting by regulating neuronal activity; and that the activity is required specifically in the foxP2.A.2 neurons.

Arx is targeted by NMDAR

To investigate how the NMDAR could affect pathfinding, we explored downstream effectors of axon pathfinding. As mentioned above we did not find differences in EphrinB2 expression with NMDAR blockade. We tested effects on the transcription factor arxa (the zebrafish ortholog of mammalian Arx), which has been shown by mouse knock-outs and in human genetic conditions to be necessary for normal midline commissure formation (Shoubridge et al., 2010; Simonet et al., 2015). We found coexpression of arxa in foxP2.A.2 neurons during early development (Fig. 5A). To determine if arxa might be responsive to changes in NMDAR-modulated neuronal activity, we measured arxa expression after pharmacological blockade or genetic knock-down of the NMDAR. We performed qRT-PCR at 48 hpf in experimental triplicates, with n > 10 embryos in each group (Fig. 5B). The relative log2 fold change were calculated relative to wild type, using 28S rRNA standard, SD for each in parenthesis, with p values adjusted using Benjamini–Hochberg false discovery rate. We found significant decreases (p < 0.01) in arxa expression with APV or tricaine exposure, or with grin1a/b knock-down: respective log2 fold changes were 0.028 (0.023), 0.068 (0.037), and 0.54 (0.15). These results suggest that arxa might act downstream of the NMDAR to affect changes in midline crossing.

Figure 5.
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Figure 5.

arxa levels are regulated by activity and the NMDAR. A–A’’, foxP2.A.2:egfp-caax and arxa are coexpressed in early development as the TCPT axons extend toward the midline. Sections, rostral top, of arxa in situ expression and Tg(foxP2.A.2:egfp-caax) α-GFP immunohistochemistry. Red boxed inset shows sense probe control for arxa. B, arxa expression is reduced following blockade (APV) or knock-down (CRISPR) of NMDAR or inhibiting activity (tricaine). qRT-PCR at 48 hpf, experimental triplicates; n > 10 embryos each group. Relative log2 fold change calculated relative to wild-type, elf1a standard, SD for each in parenthesis, p values adjusted using Benjamini–Hochberg false discovery rate; **p < 0.01; error bars, SEM.

Discussion

Midline axon pathfinding is a critical process in the development of CNS circuitry, and our results indicate an early activity-dependent step regulated through the NMDAR. To our knowledge this is the first demonstration that the NMDAR is involved in control of axon pathfinding. Interestingly, our results show that it is by regulating neuronal activity that the NMDAR affects the midline crossing decision, and potentially by targeting the transcription factor gene arxa.

NMDARs are known to play other roles in neuronal development including neuronal survival, dendritic and axonal arborization, and synapse formation (Ewald and Cline, 2009; Gambrill and Barria, 2011; Chakraborty et al., 2017). Also, NMDAR expression has been shown at axon growth cones (Wang et al., 2011; Gill et al., 2015) but no functional role had been shown previously.

The classical model of vertebrate axon connectivity development consisted of a relatively discrete two-step process (Katz and Shatz, 1996). This was defined by an initial stage that was genetically deterministic, leading to the development of a scaffold of axon tracts. Second, an activity-dependent stage then refined axon connections and synapse development. In invertebrates such as Caenorhabditis elegans and Drosophila, the early genetic regulation of midline commissure formation appears relatively hard-wired, with stereotypy of each neuron and its projection(s) (Sánchez-Soriano et al., 2007; Chisholm et al., 2016).

However, recent data have revealed limitations of the classical model for understanding vertebrate axon pathfinding. First, the significant variability in vertebrate axon tracts is not consistent with genetic hard-wiring (Lu et al., 2009; Mueller et al., 2013; Finn et al., 2015; Morgan et al., 2016). Second, it is now apparent that transcriptional, translational, and post-translational mechanisms all contribute to regulation of pathfinding choices (Stoeckli, 2017). Third, multiple studies have shown roles for spontaneous activity in guidance decisions earlier than had been realized (for reviewed, see Kirkby et al., 2013). This includes data showing that pathfinding decisions require rhythmic bursting neuronal activity (Hanson and Landmesser, 2004; Mizuno et al., 2007; Menelaou et al., 2008; Wang et al., 2009; Dhande et al., 2011; Plazas et al., 2013; Burbridge et al., 2014); and that corpus callosum pathfinding across the midline requires balanced hemispheric activity (Suárez et al., 2014). The spontaneous activity was shown to regulate axon guidance receptor expression, including that of EphA4, EphB1, and PlexinA3 (Hanson and Landmesser, 2004; Kastanenka and Landmesser, 2010; Plazas et al., 2013). Whether the activity directly or indirectly regulates the axon guidance receptors was not examined. Finally, environmental, non-genetic factors affect final axon trajectories and overall connectivity (Brun et al., 2009).

Our data point to an early role for neuronal activity in midline axon crossing mediated by the NMDAR. We found early expression of the NMDAR on midline crossing axons, and inhibition (pharmacologic) or reduction (hypoxia, CRISPR) of the NMDAR disrupted crossing. Using precise optogenetic stimulation, we could rescue NMDAR blockade, suggesting that the NMDAR-dependent pathfinding was regulated by activity.

We showed that the transcription factor arxa, a known regulator of downstream guidance receptors and a gene implicated in human midline crossing defects (Shoubridge et al., 2010; Friocourt and Parnavelas, 2011; Simonet et al., 2015), was down-regulated by NMDAR inhibition or knock-down. Interestingly, we observed that both APV and tricaine cause a greater decrease in arxa levels than grin1a/b CRISPR knock-down. A possible reason for this difference in effect is that the CRISPR knock-down targets exon 1 in the grin1a and grin1b subunits, possibly there is residual NMDAR activity by incomplete knock-down or alternative splicing (Bai and Hoffman, 2009), the former is consistent with our Western blottings showing that there is still protein expression. In contrast, APV or tricaine block any signaling or activity from the NMDAR.

In summary, these experiments provide evidence for an early activity-dependent step in midline axon pathfinding and provide a possible mechanistic insight into the regulation of activity by the NMDAR and a downstream effector via arxa. Understanding a potential link between activity regulated through the NMDAR, and axon pathfinding, may reveal unexpected insights into a range of neurodevelopmental connectivity disorders. For example, premature birth, which exposes the developing nervous system to chronic hypoxia (Martin et al., 2011), is associated with a range of disturbances in connectivity development even in the absence of destructive lesions (Kwon et al., 2016; Thomason et al., 2017).

Extended Data Figure 1-1

C/L ratio results for control and APV-treated embryos, including raw and normalized data. Download Figure 1-1, XLSX file.

Extended Data Figure 1-2

C/L ratio results for control and MK-801-treated embryos, including raw and normalized data. Download Figure 1-2, XLSX file.

Acknowledgments

Acknowledgements: We thank members of the Bonkowsky lab for helpful comments; T. Dahlem and the University of Utah Mutation Generation and Detection Core for CRISPR generation; M. Hobbs and the Centralized Zebrafish Animal Resource for animal care; and the Fluorescence Microscopy Core Facility.

Footnotes

  • The authors declare no competing financial interests.

  • This work was supported by the Department of Health and Human Services (HHS) National Institutes of Health (NIH) Office of the Director Grant DP2 MH100008 and by the HHS NIH National Institute of Mental Health Grant R21 MH107039 R21 MH107039, and the Bray Chair in Child Neurology Research.

  • Received November 15, 2017.
  • Revision received March 3, 2018.
  • Accepted March 28, 2018.
  • Copyright © 2018 Gao et al.

This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license, which permits unrestricted use, distribution and reproduction in any medium provided that the original work is properly attributed.

References

    1. Van Dongen AM
    Bai G, Hoffman PW (2009) Chapter 1: transcriptional regulation of NMDA receptor expression. In: Biology of the NMDA Receptor (Van Dongen AM, ed). Boca Raton: CRC Press/Taylor & Francis.
  1. Ben Fredj N, Hammond S, Otsuna H, Chien CB, Burrone J, Meyer MP (2010) Synaptic activity and activity-dependent competition regulates axon arbor maturation, growth arrest, and territory in the retinotectal projection. J Neurosci 30:10939–10951. doi:10.1523/JNEUROSCI.1556-10.2010 pmid:20702722
  2. Benjumeda I, Escalante A, Law C, Morales D, Chauvin G, Muça G, Coca Y, Márquez J, López-Bendito G, Kania A, Martínez L, Herrera E (2013) Uncoupling of EphA/ephrinA signaling and spontaneous activity in neural circuit wiring. J Neurosci 33:18208–18218. doi:10.1523/JNEUROSCI.1931-13.2013 pmid:24227729
  3. Bixby JL, Harris WA (1991) Molecular mechanisms of axon growth and guidance. Annu Rev Cell Biol 7:117–159. doi:10.1146/annurev.cb.07.110191.001001 pmid:1687312
  4. Bonkowsky JL, Chien CB (2005) Molecular cloning and developmental expression of foxP2 in zebrafish. Dev Dyn 234:740–746. doi:10.1002/dvdy.20504 pmid:16028276
  5. Bonkowsky JL, Wang X, Fujimoto E, Lee JE, Chien C-B, Dorsky RI (2008) Domain-specific regulation of foxP2 CNS expression by lef1. BMC Dev Biol 8:103. doi:10.1186/1471-213X-8-103 pmid:18950487
  6. Bonnin A, Goeden N, Chen K, Wilson ML, King J, Shih JC, Blakely RD, Deneris ES, Levitt P (2011) A transient placental source of serotonin for the fetal forebrain. Nature 472:347–350. doi:10.1038/nature09972 pmid:21512572
  7. Brun CC, Leporé N, Pennec X, Lee AD, Barysheva M, Madsen SK, Avedissian C, Chou YY, de Zubicaray GI, McMahon KL, Wright MJ, Toga AW, Thompson PM (2009) Mapping the regional influence of genetics on brain structure variability–a tensor-based morphometry study. Neuroimage 48:37–49. doi:10.1016/j.neuroimage.2009.05.022 pmid:19446645
  8. Burbridge TJ, Xu HP, Ackman JB, Ge X, Zhang Y, Ye MJ, Zhou ZJ, Xu J, Contractor A, Crair MC (2014) Visual circuit development requires patterned activity mediated by retinal acetylcholine receptors. Neuron 84:1049–1064. doi:10.1016/j.neuron.2014.10.051 pmid:25466916
  9. Cang J, Wang L, Stryker MP, Feldheim DA (2008) Roles of ephrin-as and structured activity in the development of functional maps in the superior colliculus. J Neurosci 28:11015–11023. doi:10.1523/JNEUROSCI.2478-08.2008 pmid:18945909
  10. Chakraborty A, Murphy S, Coleman N (2017) The role of NMDA receptors in neural stem cell proliferation and differentiation. Stem Cells Dev 26:798–807. doi:10.1089/scd.2016.0325 pmid:28381110
  11. Chisholm AD, Hutter H, Jin Y, Wadsworth WG (2016) The genetics of axon guidance and axon regeneration in Caenorhabditis elegans . Genetics 204:849–882. doi:10.1534/genetics.115.186262 pmid:28114100
  12. Cox JA, Kucenas S, Voigt MM (2005) Molecular characterization and embryonic expression of the family of N-methyl-D-aspartate receptor subunit genes in the zebrafish. Dev Dyn 234:756–766. doi:10.1002/dvdy.20532 pmid:16123982
  13. Dalva MB, Takasu MA, Lin MZ, Shamah SM, Hu L, Gale NW, Greenberg ME (2000) EphB receptors interact with NMDA receptors and regulate excitatory synapse formation. Cell 103:945–956. pmid:11136979
  14. Dhande OS, Hua EW, Guh E, Yeh J, Bhatt S, Zhang Y, Ruthazer ES, Feller MB, Crair MC (2011) Development of single retinofugal axon arbors in normal and β2 knock-out mice. J Neurosci 31:3384–3399. doi:10.1523/JNEUROSCI.4899-10.2011 pmid:21368050
  15. Dickson BJ (2002) Molecular mechanisms of axon guidance. Science 298:1959–1964. doi:10.1126/science.1072165 pmid:12471249
    1. Van Dongen AM
    Ewald RC, Cline HT (2009) Chapter 1: NMDA receptors and brain development. In: Biology of the NMDA receptor (Van Dongen AM, ed). Boca Raton: CRC Press/Taylor & Francis.
  16. Finn ES, Shen X, Scheinost D, Rosenberg MD, Huang J, Chun MM, Papademetris X, Constable RT (2015) Functional connectome fingerprinting: identifying individuals using patterns of brain connectivity. Nat Neurosci 18:1664–1671. doi:10.1038/nn.4135 pmid:26457551
  17. Friocourt G, Parnavelas JG (2011) Identification of Arx targets unveils new candidates for controlling cortical interneuron migration and differentiation. Front Cell Neurosci 5:28. doi:10.3389/fncel.2011.00028 pmid:22355284
  18. Gambrill AC, Barria A (2011) NMDA receptor subunit composition controls synaptogenesis and synapse stabilization. Proc Natl Acad Sci USA 108:5855–5860. doi:10.1073/pnas.1012676108 pmid:21427228
  19. Garbe DS, Bashaw GJ (2004) Axon guidance at the midline: from mutants to mechanisms. Crit Rev Biochem Mol Biol 39:319–341. doi:10.1080/10409230490906797 pmid:15763708
  20. Gill I, Droubi S, Giovedi S, Fedder KN, Bury LA, Bosco F, Sceniak MP, Benfenati F, Sabo SL (2015) Presynaptic NMDA receptors-dynamics and distribution in developing axons in vitro and in vivo. J Cell Sci 128:768–780. pmid:25526735
  21. Hanson MG, Landmesser LT (2004) Normal patterns of spontaneous activity are required for correct motor axon guidance and the expression of specific guidance molecules. Neuron 43:687–701. doi:10.1016/j.neuron.2004.08.018 pmid:15339650
  22. Hardan AY, Pabalan M, Gupta N, Bansal R, Melhem NM, Fedorov S, Keshavan MS, Minshew NJ (2009) Corpus callosum volume in children with autism. Psychiatry Res 174:57–61. doi:10.1016/j.pscychresns.2009.03.005 pmid:19781917
  23. Izzi L, Charron F (2011) Midline axon guidance and human genetic disorders. Clin Genet 8:226–234. doi:10.1111/j.1399-0004.2011.01735.x
  24. Kastanenka KV, Landmesser LT (2010) In vivo activation of channelrhodopsin-2 reveals that normal patterns of spontaneous activity are required for motoneuron guidance and maintenance of guidance molecules. J Neurosci 30:10575–10585. pmid:20686000
  25. Katz LC, Shatz CJ (1996) Synaptic activity and the construction of cortical circuits. Science 274:1133–1138. pmid:8895456
  26. Kilb W, Kirischuk S, Luhmann HJ (2011) Electrical activity patterns and the functional maturation of the neocortex. Eur J Neurosci 34:1677–1686. doi:10.1111/j.1460-9568.2011.07878.x pmid:22103424
  27. Kimmel CB, Ballard WW, Kimmel SR, Ullman B, Schilling TF (1995) Stages of embryonic development of the zebrafish. Dev Dyn 203:253–310. pmid:8589427
  28. Kirkby LA, Sack GS, Firl A, Feller MB (2013) A role for correlated spontaneous activity in the assembly of neural circuits. Neuron 80:1129–1144. doi:10.1016/j.neuron.2013.10.030 pmid:24314725
  29. Kobayashi S, Millhorn DE (2000) Regulation of N-methyl-D-aspartate receptor expression and N-methyl-D-aspartate-induced cellular response during chronic hypoxia in differentiated rat PC12 cells. Neuroscience 101:1153–1162. pmid:11113364
  30. Kutsarova E, Munz M, Ruthazer ES (2017) Rules for shaping neural connections in the developing brain. Front Neural Circuits 10:111. doi:10.3389/fncir.2016.00111 pmid:28119574
  31. Kwon SH, Scheinost D, Vohr B, Lacadie C, Schneider K, Dai F, Sze G, Constable RT, Ment LR (2016) Functional magnetic resonance connectivity studies in infants born preterm: suggestions of proximate and long-lasting changes in language organization. Dev Med Child Neurol 58 [Suppl. 4]:28–34. doi:10.1111/dmcn.13043
  32. Lacoste AM, Schoppik D, Robson DN, Haesemeyer M, Portugues R, Li JM, Randlett O, Wee CL, Engert F, Schier AF (2015) A convergent and essential interneuron pathway for Mauthner-cell-mediated escapes. Curr Biol 25:1526–1534. pmid:25959971
  33. Livak KJ, Schmittgen TD (2001) Analysis of relative gene expression data using real-time quantitative PCR and the 2(-Delta Delta C(T)) Method. Methods 25:402–408. pmid:11846609
  34. Lu J, Tapia JC, White OL, Lichtman JW (2009) The interscutularis muscle connectome. PLoS Biol 7:e32. doi:10.1371/journal.pbio.1000032 pmid:19209956
  35. Marsh AP, Heron D, Edwards TJ, Quartier A, Galea C, Nava C, Rastetter A, Moutard ML, Anderson V, Bitoun P, Bunt J, Faudet Q, Garel C, Gillies G, Gobius I, Guegan J, Heide S, Keren B, Lesne F, Lukic V, et al. (2017) Mutations in DCC cause isolated agenesis of the corpus callosum with incomplete penetrance. Nat Genet 49:511–514. doi:10.1038/ng.3794 pmid:28250454
  36. Martin RJ, Wang K, Köroğlu O, Di Fiore J, Kc P (2011) Intermittent hypoxic episodes in preterm infants: do they matter? Neonatology 100:303–310. doi:10.1159/000329922 pmid:21986336
  37. McCurley AT, Callard GV (2008) Characterization of housekeeping genes in zebrafish: male-female differences and effects of tissue type, developmental stage and chemical treatment. BMC Mol Biol 9:102. pmid:19014500
  38. McPherson AD, Barrios JP, Luks-Morgan SJ, Manfredi JP, Bonkowsky JL, Douglass AD, Dorsky RI (2016) Motor Behavior Mediated by Continuously Generated Dopaminergic Neurons in the Zebrafish Hypothalamus Recovers after Cell Ablation. Curr Biol 26:263–269. pmid:19014500
  39. Menelaou E, Husbands EE, Pollet RG, Coutts CA, Ali DW, Svoboda KR (2008) Embryonic motor activity and implications for regulating motoneuron axonal pathfinding in zebrafish. Eur J Neurosci 28:1080–1096. pmid:18823502
  40. Mishra OP, Fritz KI, Delivoria-Papadopoulos M (2001) NMDA receptor and neonatal hypoxic brain injury. Ment Retard Dev Disabil Res Rev 7:249–253. doi:10.1002/mrdd.1034 pmid:11754518
  41. Mizuno H, Hirano T, Tagawa Y (2007) Evidence for activity-dependent cortical wiring: formation of interhemispheric connections in neonatal mouse visual cortex requires projection neuron activity. J Neurosci 27:6760–6770. doi:10.1523/JNEUROSCI.1215-07.2007 pmid:17581963
  42. Mizuno H, Hirano T, Tagawa Y (2010) Pre-synaptic and post-synaptic neuronal activity supports the axon development of callosal projection neurons during different post-natal periods in the mouse cerebral cortex. Eur J Neurosci 31:410–424. doi:10.1111/j.1460-9568.2009.07070.x pmid:20105242
  43. Morgan JL, Berger DR, Wetzel AW, Lichtman JW (2016) The fuzzy logic of network connectivity in mouse visual thalamus. Cell 165:192–206. doi:10.1016/j.cell.2016.02.033 pmid:27015312
  44. Mueller S, Wang D, Fox MD, Yeo BT, Sepulcre J, Sabuncu MR, Shafee R, Lu J, Liu H (2013) Individual variability in functional connectivity architecture of the human brain. Neuron 77:586–595. doi:10.1016/j.neuron.2012.12.028 pmid:23395382
  45. Nicol X, Voyatzis S, Muzerelle A, Narboux-Nême N, Südhof TC, Miles R, Gaspar P (2007) cAMP oscillations and retinal activity are permissive for ephrin signaling during the establishment of the retinotopic map. Nat Neurosci 10:340–347. doi:10.1038/nn1842 pmid:17259982
  46. Nolt MJ, Lin Y, Hruska M, Murphy J, Sheffler-Colins SI, Kayser MS, Passer J, Bennett MV, Zukin RS, Dalva MB (2011) EphB controls NMDA receptor function and synaptic targeting in a subunit-specific manner. J Neurosci 31:5353–5364. doi:10.1523/JNEUROSCI.0282-11.2011
  47. Plazas PV, Nicol X, Spitzer NC (2013) Activity-dependent competition regulates motor neuron axon pathfinding via PlexinA3. Proc Natl Acad Sci U S A 110:1524–1529. pmid:23302694
  48. Papadia S, Hardingham GE (2007) The dichotomy of NMDA receptor signaling. Neuroscientist 13:572–579. doi:10.1177/10738584070130060401 pmid:18000068
  49. Pocock R, Hobert O (2008) Oxygen levels affect axon guidance and neuronal migration in Caenorhabditis elegans. Nat Neurosci 11:894–900. doi:10.1038/nn.2152 pmid:18587389
  50. Ramlochansingh C, Branoner F, Chagnaud BP, Straka H (2014) Efficacy of tricaine methanesulfonate (MS-222) as an anesthetic agent for blocking sensory-motor responses in Xenopus laevis tadpoles. PLoS One 9:e101606. doi:10.1371/journal.pone.0101606 pmid:24984086
  51. Sánchez-Soriano N, Tear G, Whitington P, Prokop A (2007) Drosophila as a genetic and cellular model for studies on axonal growth. Neural Dev 2:9. doi:10.1186/1749-8104-2-9 pmid:17475018
  52. Schmidt JT, Buzzard M, Borress R, Dhillon S (2000) MK801 increases retinotectal arbor size in developing zebrafish without affecting kinetics of branch elimination and addition. J Neurobiol 42:303–314. pmid:10645970
  53. Shoubridge C, Fullston T, Gécz J (2010) ARX spectrum disorders: making inroads into the molecular pathology. Hum Mutat 31:889–900. doi:10.1002/humu.21288 pmid:20506206
  54. Simonet JC, Sunnen CN, Wu J, Golden JA, Marsh ED (2015) Conditional loss of Arx from the developing dorsal telencephalon results in behavioral phenotypes resembling mild human ARX mutations. Cereb Cortex 25:2939–2950. doi:10.1093/cercor/bhu090 pmid:24794919
  55. Spitzer NC (2006) Electrical activity in early neuronal development. Nature 444:707–712. doi:10.1038/nature05300 pmid:17151658
  56. Stevenson TJ, Trinh T, Kogelschatz C, Fujimoto E, Lush ME, Piotrowski T, Brimley CJ, Bonkowsky JL (2012) Hypoxia disruption of vertebrate CNS pathfinding through ephrinB2 Is rescued by magnesium. PLoS Genet 8:e1002638. doi:10.1371/journal.pgen.1002638 pmid:22511881
  57. Stoeckli E (2017) Where does axon guidance lead us? F1000Res 6:78. doi:10.12688/f1000research.10126.1 pmid:28163913
  58. Suárez R, Fenlon LR, Marek R, Avitan L, Sah P, Goodhill GJ, Richards LJ (2014) Balanced interhemispheric cortical activity is required for correct targeting of the corpus callosum. Neuron 82:1289–1298. doi:10.1016/j.neuron.2014.04.040 pmid:24945772
  59. Takamori S, Rhee JS, Rosenmund C, Jahn R (2001) Identification of differentiation-associated brain-specific phosphate transporter as a second vesicular glutamate transporter (VGLUT2). J Neurosci 21:RC182. pmid:11698620
  60. Takasu MA, Dalva MB, Zigmond RE, Greenberg ME (2002) Modulation of NMDA receptor-dependent calcium influx and gene expression through EphB receptors. Science 295:491–495. doi:10.1126/science.1065983 pmid:11799243
  61. Tessier-Lavigne M, Goodman CS (1996) The molecular biology of axon guidance. Science 274:1123–1133. pmid:8895455
  62. Thomason ME, Scheinost D, Manning JH, Grove LE, Hect J, Marshall N, Hernandez-Andrade E, Berman S, Pappas A, Yeo L, Hassan SS, Constable RT, Ment LR, Romero R (2017) Weak functional connectivity in the human fetal brain prior to preterm birth. Sci Rep 7:39286. doi:10.1038/srep39286 pmid:28067865
  63. Wang PY, Petralia RS, Wang YX, Wenthold RJ, Brenowitz SD (2011) Functional NMDA receptors at axonal growth cones of young hippocampal neurons. J Neurosci 31:9289–9297. pmid:21697378
  64. Wang S, Polo-Parada L, Landmesser LT (2009) Characterization of rhythmic Ca2+ transients in early embryonic chick motoneurons: Ca2+ sources and effects of altered activation of transmitter receptors. J Neurosci 29:15232–15244. pmid:19955376
  65. Wilson SW, Ross LS, Parrett T, Easter SS (1990) The development of a simple scaffold of axon tracts in the brain of the embryonic zebrafish, Brachydanio rerio . Development 108:121–145. pmid:2351059
  66. Xing L, Son JH, Stevenson TJ, Lillesaar C, Bally-Cuif L, Dahl T, Bonkowsky JL (2015) A Serotonin Circuit Acts as an Environmental Sensor to Mediate Midline Axon Crossing through EphrinB2. J Neurosci 35:14794–14808. pmid:26538650
  67. Yamamoto N, López-Bendito G (2012) Shaping brain connections through spontaneous neural activity. Eur J Neurosci 35:1595–1604. doi:10.1111/j.1460-9568.2012.08101.x pmid:22607005
  68. Zhang-Hooks Y, Agarwal A, Mishina M, Bergles DE (2016) NMDA receptors enhance spontaneous activity and promote neuronal survival in the developing cochlea. Neuron 89:337–350. doi:10.1016/j.neuron.2015.12.016 pmid:26774161

Synthesis

Reviewing Editor: Robert Kalb, Northwestern University

Decisions are customarily a result of the Reviewing Editor and the peer reviewers coming together and discussing their recommendations until a consensus is reached. When revisions are invited, a fact-based synthesis statement explaining their decision and outlining what is needed to prepare a revision will be listed below. The following reviewer(s) agreed to reveal their identity: Martin Meyer

The authors have revised the ms. and the reviewers are satisfied

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