Abstract
The proper wiring of the vertebrate brain represents an extraordinary developmental challenge, requiring billions of neurons to select their appropriate synaptic targets. In view of this complexity, simple vertebrate systems provide necessary models for understanding how synaptic specificity arises. The posterior lateral-line organ of larval zebrafish consists of polarized hair cells organized in discrete clusters known as neuromasts. Here we show that each afferent neuron of the posterior lateral line establishes specific contacts with hair cells of the same hair-bundle polarity. We quantify this specificity by modeling the neuron as a biased selector of hair-cell polarity and find evidence for bias from as early as 2.5 d after fertilization. More than half of the neurons form contacts on multiple neuromasts, but the innervated organs are spatially consecutive and the polarity preference is consistent. Using a novel reagent for correlative electron microscopy, HRP-mCherry, we show that these contacts are indeed afferent synapses bearing vesicle-loaded synaptic ribbons. Moreover, afferent neurons reassume their biased innervation pattern after hair-cell ablation and regeneration. By documenting specificity in the pattern of neuronal connectivity during development and in the context of organ regeneration, these results establish the posterior lateral-line organ as a vertebrate system for the in vivo study of synaptic target selection.
Keywords: acousticolateralis system, eighth nerve, fluorescent protein, hair cell, planar cell polarity, ribbon synapse
Introduction
Our perception of environmental stimuli depends critically on the ability of developing neuronal processes to obey guidance cues, recognize appropriate targets, and synapse with particular cells (Goodman and Shatz, 1993; Benson et al., 2001). Although much progress has been made in understanding the first two steps (Dickson, 2002), how neurons decide to form stable synapses with particular target cells remains unclear.
The lateral-line organ of larval zebrafish possesses a number of qualities that facilitate the study of this question. Lateral lines enable certain aquatic vertebrates to sense water currents and thus aid in prey capture, predator avoidance, rheotaxis, and shoaling (Montgomery et al., 1997). The functional unit of the lateral line is the neuromast, which consists of superficial hair cells ensheathed by supporting cells, surrounded by mantle cells, and innervated by afferent and efferent neurons (Metcalfe et al., 1985). The cell responsible for the detection of mechanical stimuli is the hair cell, which bears on its apical surface a hair bundle that transduces mechanical deflections into electrical signals (Hudspeth, 1989). The hair bundle comprises a staircase-like arrangement of actin-filled stereocilia and a true cilium, the kinocilium, which stands at the tall edge (see Fig. 1 C). Hair-bundle deflections toward the kinocilium depolarize the hair cell, whereas movements in the opposite direction hyperpolarize it (Shotwell et al., 1981). Membrane depolarizations trigger the release of neurotransmitter from the cell's base at presynaptic specializations known as synaptic ribbons (Keen and Hudspeth, 2006).
A striking feature of the lateral line is the planar polarization of hair cells within a neuromast (Flock and Wersäll, 1962), which is manifested in two ways. The first is the aforementioned hair-bundle polarity, which defines the vector of mechanosensitivity and is intrinsic to each hair cell. The second manifestation of polarity, which is governed by the planar-cell-polarity pathway, arises from the coordinated orientation of polarized hair bundles with respect to the bodily axes (López-Schier et al., 2004). The bilaterally symmetrical lateral-line system of a larval zebrafish has two components, each containing approximately 10 neuromasts: an anterior lateral line covering the head and a posterior lateral line (PLL) along the trunk and tail (Metcalfe et al., 1985). Each neuromast contains two sets of hair cells of opposite hair-bundle polarities disposed across a plane of mirror symmetry (López-Schier and Hudspeth, 2006). In the PLL, most neuromasts contain anteriorly polarized hair cells and posteriorly polarized hair cells, whereas a few specific neuromasts contain dorsally polarized and ventrally polarized hair cells (see Fig. 1 A).
Although the polarization of hair cells in the PLL has been well characterized, it remains unclear how afferent neurons transmit information about stimulus orientation to the brain. Electrophysiological evidence suggests that afferent neurons receive inputs from hair cells of the same polarity (Obholzer et al., 2008), but the degree of specificity has not been demonstrated at the level of single synapses. In this study, we investigated whether afferent neurons distinguish hair-cell polarities as they innervate lateral-line neuromasts during normal development and after regeneration.
Materials and Methods
Zebrafish strains and husbandry.
Zebrafish were maintained under standard conditions. Naturally spawned eggs were collected, cleaned, staged (Kimmel et al., 1995), and maintained in system water at 28.5°C at a density of 50 per 100-mm-diameter Petri dish. Embryos were raised in system water with the addition of 200 μm 1-phenyl-2-thiourea at 1 d postfertilization (dpf) to inhibit pigment formation. The wild-type strain used was Tübingen Long Fin. The relevant transgenic strains and their respective transgenic insertions included the following: HuC:GFP, Tg(elavl3:EGFP)zf8; islet1:GFP, Tg(isl1:GFP)rw01; ET4, Et(krt4:GFP)sqet4; Brn3c:gap43-GFP, Tg(Brn3c:gap43-mGFP)356t; and neurogenin1, ngn1hi1059Tg.
Plasmid DNA construction.
To create HuC:mCherry, HuC:GFP DNA (Park et al., 2000) was digested with XhoI and XbaI to remove the green fluorescent protein (GFP)-polyA sequence. The HuC promoter-containing backbone was then gel purified and ligated to an mCherry-polyA fragment that had been PCR-amplified (forward, 5′-TGCTCGAGTGCCACCATGGTGAGCAAGGGCGAGG-3′; reverse, 5′-GTCATTCTAGAGTCGCTTACAATTTACGCCTTAAG-3′). To create HuC:gap43-mCherry, the HuC:mCherry plasmid was digested with XhoI and ligated to annealed oligonucleotides containing a Kozak sequence and the first 20 codons of the gap43 cDNA (forward, 5′-TCGACTGCCACCATGCTGTGCTGCATCAGAAGAACTAAACCGGTTGAGAAGAATGAAGAGGCCGATCAGGAG-3′; reverse, 5′-TCGACTCCTGATCGGCCTCTTCATTCTTCTCAACCGGTTTAGTTCTTCTGATGCAGCACAGCATGGTGGCAG-3′). To create the HuC:HRP-mCherry plasmid, the NotI site of HuC-mCherry was destroyed by blunt-end ligation, and the XhoI site was changed to a NotI-AgeI site with annealed oligonucleotides. The HRP-C cDNA was PCR-amplified with a forward primer containing a 5′ EcoRI site and a reverse primer containing a 5′ BamHI site (forward, 5′-CTGAATTCATGCAGTTAACCCCTACATTC-3′; reverse, 5′-GAGGATCCAGAGTTGCTGTTGACCACTCTGC-3′). This amplified segment of DNA was ligated into pBluescript SK+, which was subsequently digested with BamHI and NotI. Synthesized, annealed, 5′-phosphorylated oligonucleotides encoding the transmembrane region of cadherin2 (Cdh2) followed by an AgeI site (forward, 5′-GATCCGCAGCCGGGCTGGGCACCGGAGCCATCATCGCCATACTTATCTGCATCATCATTCTGCTGGTGCTGGTGTTGATGTTTGTGATGTGGATGAAGAGACGGGATAAAGAGAGACAGACCGGTGC-3′; reverse, 5′-GGCCGCACCGGTCTGTCTCTCTTTATCCCGTCTCTTCATCCACATCACAAACATCAACACCAGCACCAGCAGAATGATGATGCAGATAAGTATGGCGATGATGGCTCCGGTGCCCAGCCCGGCTGCG-3′) were ligated into the BamHI/NotI-digested Bluescript plasmid. This plasmid was subsequently digested with HindIII and EcoRI and ligated to annealed, 5′-phosphorylated oligonucleotides comprising the signal sequence of cdh2 with a NotI site and Kozak sequence upstream (forward, 5′-AGCTTGCGGCCGCCACCATGTACCCCTCCGGAGGCGTGATGCTGGGGCTTCTCGCCGCTCTGCAGGTGGCGGTCCAGGGCACAGGGGCGG-3′; reverse, 5′-AATTCCGCCCCTGTGCCCTGGACCGCCACCTGCAGAGCGGCGAGAAGCCCCAGCATCACGCCTCCGGAGGGGTACATGGTGGCGGCCGCA-3′). Finally, this plasmid was digested with NotI and AgeI, liberating the signal sequence-horseradish peroxidase (HRP)-transmembrane domain construct, and ligated into the NotI-AgeI sites created on the HuC:mCherry plasmid.
DNA injection and screening of transgenic fish.
One- and two-cell embryos were pressure injected with supercoiled plasmid DNA at a concentration of 50 ng/μl. Animals were screened at 1.5–2 dpf for mCherry expression in the PLL nerve with a Zeiss Axioplan 2 wide-field fluorescence microscope. After selection of candidate fish with a 5× objective, definitive expression in the PLL nerve was ascertained using a 60× water-immersion objective.
Vital labeling of hair cells.
Larvae were immersed in a 200 μm solution of 4-(4-(diethylamino)styryl)-N-methylpyridinium iodide (4-Di-2-ASP; Invitrogen) or in a 100 μm solution of N-(3-triethylammoniumpropyl)-4-(6-(4-(diethylamino)phenyl)hexatrienyl)pyridinium dibromide (FM4-64; Invitrogen) for 2 min at room temperature in the dark.
Live imaging of larvae.
For imaging of 4-Di-2-ASP labeling, larvae were anesthetized in 625 μm 3-aminobenzoic acid ethyl ester methanesulfonate and imaged with a Zeiss Axioplan2 microscope using a 5× objective lens and a CCD camera (Olympus). For confocal imaging, specimens were embedded under anesthesia in 1% low-melting-point agarose on a glass coverslip. Images were acquired with an Ultramer Perkin-Elmer spinning-disk system on a Zeiss Axiovert 200M microscope equipped with a 63×, 1.4 numerical aperture (NA) PlanApochromat objective, a Hamamatsu Orca-ER cooled CCD camera, and MetaMorph software for acquisition and analysis (MDS Analytical Technologies). Z-stacks were acquired at 1 μm intervals, imaging GFP (488 nm excitation, 500–550 nm emission) and mCherry or FM4-64 (568 nm excitation, 590–650 nm emission). After imaging, the larvae were excised from the agarose and returned to individually marked dishes.
Hair-cell ablation.
Three-day-old larvae were treated for 1 h with 10 μm CuSO4 (Sigma) in system water, rinsed, and then returned to system water. The time course of recovery began when fish were removed from the CuSO4 solution.
Immunofluorescence and phalloidin staining and imaging.
Fish were fixed overnight at 4°C in PBS containing 1% Tween 20 (PBST) and 4% paraformaldehyde. Larvae were washed thrice in 1% PBST for 1 h and then incubated in primary antibody or in fluorescent phalloidin. For whole-mount immunofluorescence labeling, fish were immersed overnight at 4°C in a 1:1000 dilution of mouse anti-acetylated α-tubulin primary antibody (clone 6–11B-1; Sigma), washed several times in 0.2% PBST, and then incubated in a 1:200 dilution of Alexa Fluor 488-conjugated secondary antibody (Invitrogen) overnight at 4°C. The fish were washed twice for 4 h and stained with a 1:20 dilution of Alexa Fluor 568 phalloidin (Invitrogen) in 0.2% PBST overnight at 4°C. They were next washed twice for 4 h and mounted in Vectashield (Vector Laboratories). Samples were imaged on an Olympus FV1000 laser-scanning confocal microscope with a 60×, 1.42 NA PlanApochromat objective lens at a scan rate of 8 μs per pixel with Kalman averaging.
Transmission electron microscopy.
Larvae were fixed at 4°C overnight in 400 mm formaldehyde, 200 mm glutaraldehyde, 20 mm sucrose, 1 mm CaCl2, and 90 mm sodium cacodylate at pH 7.2. The specimens were then washed in the same solution lacking the fixatives. HuC:HRP-mCherry-expressing fish were exposed to wash solution containing 1.4 mm 3,3-diaminobenzidine (Electron Microscopy Sciences) and 1% DMSO for 5 min at room temperature, followed by the addition of 0.0042% H2O2 for 5 min. After a series of washes, specimens were postfixed in 50 mm OsO4, 20 mm sucrose, 1 mm CaCl2, and 90 mm sodium cacodylate at pH 7.2 for 1.5 h at 4°C. Several washes in distilled water were followed by dehydration through a series of ethanol concentrations to 95% ethanol.
Additional electron density was conferred by treatment with 0.4% uranyl acetate in 95% ethanol for 1 h at room temperature. The tissue was dehydrated by immersion for 2 h each in 100% ethanol and propylene oxide. Each specimen was impregnated with an epoxy-resin mixture (Embed-812; Electron Microscopy Sciences), placed between two nonsticking plastic coverslips (Unbreakable Cover Slips; Thermo Fisher Scientific), and heated under vacuum for 48 h at 50°C to cure the plastic.
Specimens were sectioned at a thickness of 70 nm with a diamond knife (Ultra 45°; Diatome) on an ultramicrotome (Ultracut-E; Leica). Serial sections were collected on formvar- and carbon-coated grids (Electron Microscopy Sciences) and stained for 2 min with 50% saturated aqueous uranyl acetate in 50% acetone and for 1.5 min with lead citrate. Micrographs were acquired with a transmission electron microscope (G2–12 Biotwin; Tecnai FEI) equipped with a CCD camera (Hamamatsu).
Image processing.
Images were analyzed and adjusted for brightness and contrast with ImageJ (NIH). For the mosaic illustration in Figure 1 D, individual images were merged using Adobe Photoshop. Figures were assembled with Adobe Illustrator.
Statistical analysis.
To analyze innervation bias, we scored hair cells for membrane contact with labeled neurons. When possible, hair-cell polarity was inferred at 2.5 and 3.5 dpf from the arrangement of hair cells; at 4.5 and 5.5 dpf, hair-cell polarity was ascertained definitively by fluorescent-phalloidin staining. Neuromasts innervated by more than one labeled fiber were excluded from the analysis. We calculated the weight of evidence in favor of a statistical model in which neurons are biased in their innervation of hair cells. When reported in decibans, which are analogous to decibels in acoustics, W = 10 × log10[P(data|M B)/P(data|M U)]. The ratio P(data|M B)/P(data|M U) is the Bayes factor, which indicates the support of the data for the hypothesis in which the neuron is biased, M B, versus unbiased, M U. P(data|M) is the marginal likelihood, or evidence, for hypothesis M. To model the data from such a biased neuron, we chose Fisher's noncentral hypergeometric distribution, with the probability of selecting one orientation of hair cell over another given by the parameter ω in the range 0–1. For the calculation of W, we marginalized over ω, that is, integrated over all possible values. We used a vague prior distributed as beta(1, 1) that is uniform and therefore convenient for computation (Fog, 2008). When we used more typically noninformative priors, such as the proper beta(1/2, 1/2), W grew by 10–20%; the persuasiveness of the result increased. We repeated our calculations using Wallenius's noncentral distribution, but the change in results was barely noticeable, and the qualitative answers were in agreement. The unbiased model (M U) is a special case of both these biased models for ω = 0.5. In this instance, no marginalization is necessary. Because we believe that it corresponds more closely to a physiological model of neuronal activity, we report the results from Fisher's distribution.
Results
Afferent and efferent innervation of lateral-line hair cells
By 5 dpf, the PLL on each side of a larval zebrafish comprises about 10 neuromasts innervated by both afferent and efferent neurons (Fig. 1 A–D) (for review, see Dambly-Chaudière et al., 2003). Because we wished to analyze the afferent innervation in particular, we first characterized the morphology of efferent neurons so that we could reliably distinguish afferents from efferents. We examined efferent neurons labeled with GFP under the control of the islet1 promoter (Higashijima et al., 2000) and then stained hair cells at 3 dpf with the fluorophore FM4-64 that enters them selectively through their mechanotransduction channels. The efferent axons appeared thin and featured bulbous terminals (Fig. 1 E,F).
To visualize afferent neurons, we examined the most caudal neuromasts of HuC:GFP transgenic zebrafish, which express GFP in all neurons early in development (Park et al., 2000). By studying these terminal neuromasts before 2 dpf, we could restrict our analysis to afferents because efferent neurons do not reach this location until several hours later (Sapède et al., 2005). We found that the afferent fibers beneath each neuromast formed a dense, interlacing web that impeded the identification of fibers and of individual contacts (Fig. 1 G,H).
Our inability to resolve individual afferents in a stable transgenic line necessitated the labeling of single PLL neurons by transient-expression methods, in which an arbitrary subset of neurons expressed a fluorescent protein. We injected wild-type embryos with the HuC:GFP plasmid and screened for larvae expressing GFP in the PLL nerve. Whereas lateral-line efferents have cell bodies in diencephalic and rhombencephalic nuclei (Metcalfe et al., 1985; Bricaud et al., 2001), GFP-labeled afferents possess somata in the PLL ganglion and send bifurcated axons into the hindbrain (Fig. 1 I). At 1.5 dpf, the neurons also feature migratory growth cones destined to innervate a subset of PLL neuromasts (Fig. 1 J).
Afferent and efferent PLL neurons therefore display clear morphological differences that are discernable not only by the anatomical location of cellular structures but also by their distinct contacts with hair cells. Our preliminary results also validated a technique for the labeling of single PLL afferents that requires neither surgical manipulation nor dye application.
Long-term monitoring of afferent innervation
Each PLL neuromast contains two equal populations of hair cells with their hair bundles polarized in opposite directions (López-Schier and Hudspeth, 2006). The orientation of these hair bundles is tightly linked to the larval bodily axes, such that the hair cells in certain neuromasts are directionally sensitive to anteriorly or posteriorly directed stimuli, whereas the hair cells in other neuromasts respond to dorsally or ventrally directed stimuli. We hypothesized that afferent fibers form stable synapses with hair cells of only one orientation, for such an arrangement would permit the encoding of four directions of mechanical stimulation at the first synapse of this sensory system. To test this hypothesis, we simultaneously visualized hair cells and the associated afferents in vivo by injecting the HuC:mCherry expression plasmid into embryos of the strain ET4, an enhancer-trap line in which hair cells express GFP (Parinov et al., 2004).
During early larval development or hair-cell regeneration, the highly stereotyped division of a hair-cell progenitor reliably produces a pair of hair cells of opposite polarity (López-Schier and Hudspeth, 2006). When a neuromast displays mirror symmetry, it is possible to infer each hair cell's polarity based solely on its location and relationship to the other hair cells. Taking advantage of this regular pattern, we found that a single afferent neuron preferentially contacts hair cells of only one orientation. As early as 2.5 dpf, in a neuromast containing two mature hair cells, a labeled afferent fiber displayed a prominent bouton on the posteriorly polarized hair cell and a more limited contact onto the anteriorly polarized hair cell (Fig. 2 A,B). One day later, the same neuromast had grown to encompass three pairs of hair cells. The three posteriorly polarized hair cells received voluminous contacts from the labeled fiber, whereas the anteriorly polarized hair cells lay near finer neurites that lacked this robust morphology (Fig. 2 C–E). By 4.5 dpf, when the neuromast had grown to six hair-cell pairs, the labeled neuron innervated a commensurately greater number of hair cells (Fig. 2 F–J). By this stage of development, the neuromast displayed a more complex arrangement of hair cells that no longer conformed to a plane of symmetry. To confirm the polarity of the hair cells, we fixed the fish after live imaging and labeled the actin-rich hair bundles with fluorescent phalloidin (Fig. 2 K). With the consequent polarity information, we referred to the images of the living neuromast at 4.5 dpf and determined that the three largest and oldest posteriorly polarized hair cells received bulky contacts (Fig. 2 G,H). A young posteriorly polarized hair cell (Fig. 2 I) and an anteriorly polarized hair cell (Fig. 2 J) instead attracted only tenuous neurites.
These in vivo imaging studies suggest that each lateral-line afferent neuron forms prominent contacts selectively with hair cells of a single orientation. Furthermore, our time-lapse imaging approach revealed that afferent neurons respond continually to polarity cues as new hair cells are added to growing neuromasts.
Statistical analysis of innervation bias by afferent neurons
Although PLL afferents display a high degree of specificity in their choice of targets, they occasionally form contacts on hair cells of the opposite polarity (Fig. 2 J). This finding suggested that the neurons have an inherent error rate in their choice of targets or that they can be caught in the act of interrogating a hair cell's polarity.
To provide a rigorous quantitative measure of the preference for hair-cell polarity, we devised a statistical model of bias. For each neuromast, the number of hair cells of each polarity was noted along with the number innervated by a single labeled afferent fiber (supplemental Table 1, available at www.jneurosci.org as supplemental material). Our null hypothesis was that each neuron was strictly unbiased, with no ability to discriminate between polarities of hair cells. Because there were only a handful of cells per neuromast, the deviations from the null hypothesis tended not to be statistically significant. Although we considered aggregating multiple p values based on the null hypothesis alone, this procedure is of controversial validity (Goodman, 1998). We therefore addressed the issue more directly by comparing the evidence supporting the null hypothesis with that favoring the alternative hypothesis that the neurons can discriminate between polarities.
Each neuromast was assigned two probabilities that were hypothesis dependent. The first probability, which represented the alternative hypothesis, was that the pattern reflected the choices of a neuron able to discriminate between polarities with a bias parameter ω that expresses the neuron's preference of one polarity over the other. A neuron that innervates only posteriorly polarized hair cells corresponds to ω = 1, whereas a wholly anteriorly biased neuron has ω = 0. As for the toss of an unfair coin, whose probability of yielding heads is given by the probability ω, any degree of bias between ω = 0 and ω = 1 is possible. The second probability reflected the null hypothesis that the neuron is strictly unbiased; in this instance, as for the toss of a fair coin, ω = 1/2. Expressed in decibans, the logarithm W of the ratio of these probabilities provided a quantitative measure of the evidence for bias in any neuromast (Kass and Raftery, 1995; Jaynes, 2003).
Summing the scores for the entire sample of 131 neuromasts with hair bundles polarized along the anteroposterior axis yielded W = 375 db, which corresponds to a Bayes factor of ∼3 × 1037. This is a formidable weight of evidence in favor of the notion that lateral-line afferents are biased innervators: the same weight of evidence is obtained, for example, after 132 successive tosses of a coin that all result in heads, in this case favoring the coin's being double-headed instead of fair.
Plotting the distribution of bias scores with respect to larval age demonstrated that the evidence for a biased model increases with neuromast development (Fig. 3 A). It should be kept in mind, however, that the evidence for bias scales with the size of a neuromast: a neuron innervating both of two anteriorly polarized hair cells and no posteriorly polarized ones, for example, receives a lower score than a neuron innervating each of six anteriorly polarized hair cells and no posteriorly polarized ones. To evaluate the effect of the developmental increase in hair-cell numbers, we assessed the degree of bias at each time studied. To graphically represent neuronal bias, regardless of whether this bias is for anteriorly or posteriorly polarized hair cells, we plotted the mean of the probability of |ω − 0.5| + 0.5 as a function of age and found this value to be stable over time (Fig. 3 B). The observed increase in evidence for bias thus reflects neuromast growth rather than a heightened sensitivity to hair-cell polarity cues.
Because neuromasts comprise two equal populations of hair cells with opposite orientations, we expected no more than half of a neuromast's hair cells to be innervated by a labeled fiber. Indeed, 50% or fewer of the hair cells within a neuromast were innervated by the labeled afferent fiber in 113 of the 131 instances (Fig. 3 C). Using a rigorous statistical test for bias in the choice of targets, we find that afferent neurons consistently innervate many, if not all, hair cells of one orientation within each neuromast.
Receptive fields of single PLL afferents
We were intrigued to find that most of the labeled afferents innervated multiple neuromasts (Fig. 3 D). We asked whether each neuron selects hair cells of a common orientation across many neuromasts, as would be required to preserve independent channels of sensory information corresponding to distinct hair-cell orientations. In each of 56 instances of multiple innervation, the afferent neuron was consistent in its preference of hair-cell polarity. In 93% of these cases, the afferent fiber innervated spatially consecutive PLL neuromasts along the tail.
The innervation of multiple neuromasts by the same neuron might be indicative of an immature pattern of connectivity that is eventually pruned to a single neuromast. We found, however, that the receptive fields of single afferent neurons persisted over the period from 2.5 to 5.5 dpf (Fig. 3 E). Although synaptic elimination may occur later in development, it is possible that the concurrent wiring of multiple sensory organs serves an essential function, such as increasing the sensitivity or signal-to-noise ratio, that is supported by a consistent choice in hair-cell polarity and by the consecutive arrangement of the neuromasts innervated.
Because there are approximately equal numbers of anteriorly and posteriorly polarized hair cells in the PLL, we were surprised to find that posteriorly polarized hair cells were disproportionately innervated by the labeled afferents. Tallying the innervated hair cells over all ages yielded 263 innervated posteriorly polarized hair cells out of a total of 460 compared with 135 innervated anteriorly polarized hair cells out of 453. This discrepancy could not be attributed entirely to a greater ratio of hair cells to neurons, for the number of posteriorly biased neurons was proportionately increased (37 posteriorly biased versus 22 anteriorly biased). If posteriorly biased neurons more readily took up or expressed the injected DNA, our mosaic labeling method might have accounted for these disparities. Because we also found that posteriorly biased neurons were more likely to innervate multiple neuromasts (Fig. 3 F), however, the excess of posteriorly biased neurons more probably reflects the existence of neuronal subtypes with divergent receptive-field properties.
Specificity in dorsoventral neuromasts
Our analysis of neuronal connectivity has thus far been limited to neuromasts containing hair cells sensitive to stimuli along the anteroposterior axis. The correlated wiring of similarly oriented hair cells might therefore reflect, not hair-cell polarity cues, but rather the anatomical arrangement of cells within the neuromast. To distinguish between these possibilities, we examined fish in which we labeled single afferents innervating dorsoventral neuromasts. In all four cases, we found a marked bias in the innervation of dorsally versus ventrally polarized hair cells (supplemental Table 1, available at www.jneurosci.org as supplemental material). Because of the more ventral location of these neuromasts (Ledent, 2002; López-Schier et al., 2004), the afferent neuron veered ventrally from the PLL nerve in its approach to the neuromast (Fig. 4 A,B). Staining with fluorescent phalloidin revealed the polarities of the constituent hair cells and confirmed that four of five ventrally oriented hair cells received boutons (Fig. 4 C–E). The fifth and youngest ventrally polarized hair cell was contacted by only a tenuous neurite (Fig. 4 C). Despite the afferent fiber's tortuous course beneath the neuromast, the dorsally polarized hair cells apparently received no contacts.
From the examination of neuromasts sensitive to dorsally and ventrally oriented stimuli, we conclude that neuronal preference for individual hair cells depends on their polarity or on a cue normally associated with this polarity. We never encountered a neuron that innervated both a dorsoventral and an anteroposterior neuromast.
Electron microscopy of synaptic contacts
Although our light-microscopic observations documented an orderly pattern of apposition between afferent terminals and specifically oriented hair cells, they could not unequivocally demonstrate synapses between the two. Moreover, it was unclear from the foregoing observations whether the apparent contacts are endowed with the morphological features of functional hair-cell synapses. We therefore used transmission electron microscopy to examine larval neuromasts.
Even at the earliest stage examined, 2 dpf, the hair cells contained numerous synaptic ribbons associated with synaptic vesicles and prominent presynaptic and postsynaptic densities. Our comparison of 2- and 5-d-old synaptic ribbons disclosed no striking differences between the two (Fig. 5 A,B) save that the synaptic ribbons of some younger hair cells were smaller. These results confirm that hair-cell afferent synapses, or at least a substantial majority of them, are potentially competent for neurotransmitter release from as early as 2 dpf.
Our descriptive study of synaptic ultrastructure does not address whether the appositions between afferent neurons and hair cells observed in vivo are truly synapses. To directly answer this question, we sought a genetically encoded marker that labels neuronal membranes during the imaging of living cells and in correlative electron microscopy. Existing approaches, such as labeling with HRP::CD2 (Watts et al., 2004) or tetracysteine tags (Gaietta et al., 2002), possess serious drawbacks such as the need to express a fluorescent protein in parallel or to apply intense illumination in the presence of biarsenical compounds to photoconvert diaminobenzidine. To circumvent these concerns, we created a construct that encodes a single-pass transmembrane protein, HRP-mCherry, with HRP extracellularly and the fluorescent marker mCherry intracellularly (Fig. 5 C). In the presence of diaminobenzidine and hydrogen peroxide, horseradish peroxidase generates a local osmiophilic precipitate visible both by light microscopy (Fig. 5 D) and by electron microscopy. HRP-mCherry allows one to track the neurites of cells expressing mCherry in vivo by confocal fluorescence microscopy, then to examine regions of interest with the resolving power of transmission electron microscopy.
We injected the HuC:HRP-mCherry plasmid into larvae of the Brn3c:gap43-GFP transgenic line, in which hair-cell membranes are marked with GFP (Xiao et al., 2005). By obtaining a stack of confocal images through a neuromast at 5 dpf, we observed an mCherry-expressing afferent innervating a subset of hair cells within a neuromast (Fig. 5 E,F). Although another afferent fiber was labeled as well, it expressed the marker more weakly and did not innervate this particular neuromast. We then fixed the larva and processed it to demonstrate horseradish peroxidase activity at the electron-microscopic level. After completion of the preparative protocol and embedding in plastic, the labeled neuron could be visualized under brightfield illumination (Fig. 5 D). Although electron microscopy of the PLL nerve from a control larva confirmed that the afferent fibers displayed no labeling (Fig. 5 G), sections from the labeled preparation revealed two afferent fibers delineated by extracellular precipitate (Fig. 5 H, arrowheads). In keeping with the mCherry fluorescence pattern, one fiber displayed substantially greater expression than the other. At higher magnification, the strongly labeled afferent was cloaked in an electron-dense precipitate that remained extracellular and did not appear to damage the neuron itself or the surrounding tissue (Fig. 5 I).
To ensure that regions of membrane contact identified by fluorescence were not missed, we cut serial sections through an entire neuromast. The afferent synapses of unlabeled neurons appeared normal and lacked extracellular electron density (Fig. 5 J). In striking contrast, an afferent synapse corresponding to an mCherry-positive terminal (Fig. 5 E) demonstrated extensive extracellular precipitate (Fig. 5 K). After examining another intercellular contact (Fig. 5 F), we found an afferent synapse apposed to a neuron surrounded by and filled with electron-dense material (Fig. 5 L,M). This neuron appeared to have experienced extensive damage (Fig. 5 L), most likely a result of gas evolution during the demonstration of horseradish peroxidase activity.
These results confirm that the contacts we observed by fluorescence microscopy indeed represent vesicle-loaded afferent synapses. Our approach has a number of advantages over other tools for correlative electron microscopy. Most notably, HRP-mCherry consists of a fluorescent protein directly conjugated to a widely used enzymatic label. The result is a clearly defined fluorescence pattern that is manifested as electron density when studied at high resolution.
The preference for hair-cell polarity in regenerating neurons
The hair cells of fish, amphibians, and birds regenerate on time scales of hours to days after extirpation by ototoxic agents such as aminoglycoside antibiotics and Cu2+ (Williams and Holder, 2000; Hernández et al., 2007). By examining how afferent neurons reinnervate neuromasts after hair-cell ablation, we inquired about the degree to which hair-cell polarity preferences are specified through an intrinsic affinity for a particular polarity. If afferent neurons display a polarity preference before hair-cell ablation, do they maintain that preference after newly minted hair cells have repopulated the neuromast, or is the polarity preference reset? In the latter instance, afferents would be expected to innervate hair cells of either polarity after regeneration, with no memory of the preablation preference.
We injected DNA encoding membrane-targeted mCherry driven by the HuC promoter (HuC:gap43-mCherry) into stably transgenic embryos bearing the Brn3c:gap43-GFP transgene. After screening for larvae that expressed mCherry in PLL neurons, we imaged the innervated neuromasts at 3 dpf. At this stage, neuromasts are small enough to display an unambiguous axis of mirror symmetry, so that the polarities of hair cells are certain (Fig. 6 A). The afferent fiber innervated all four posteriorly polarized hair cells and none of the anteriorly polarized hair cells, indicating a marked preference for the former. Immediately after imaging, we immersed the fish in 10 μm CuSO4 solution to eliminate lateral-line hair cells. Two hours after this treatment, we examined the same neuromast again and found it to be devoid of hair cells (Fig. 6 B). In conjunction with the loss of hair cells, the labeled neuron underwent considerable retraction of its terminals.
As the neuromast repopulated its hair cells over the next 46 h, the afferent neuron extended its neurites and formed synapses anew (Fig. 6 C–K). After 6 h, a centrally positioned cell began to express GFP and probably represented a hair-cell progenitor that would give rise to two daughter hair cells (López-Schier and Hudspeth, 2006). By 12 h after treatment, the neuromast contained two mature hair cells; the posteriorly polarized hair cell received a small contact from the labeled afferent fiber, which grew more pronounced by 24 h. At 36 h, the neuromast had grown to encompass seven hair cells, of which the nerve appeared to contact only three (Fig. 6 F,G). At this stage of neuromast recovery, it was impossible to reliably infer the hair-bundle polarity without phalloidin staining. Finally, 48 h after ablation, the neuromast contained eight mature hair cells, as well as two immature hair cells at its rostral extreme. Phalloidin staining revealed the presence of four anteriorly polarized and four posteriorly polarized hair cells, and we ascertained that the labeled neuron had formed synapses with all four of the latter (Fig. 6 H–L). In contrast, two of the four anteriorly polarized hair cells were contacted by thin neurites (Fig. 6 H,J, arrowheads) that differed significantly from the larger boutons on the posteriorly polarized hair cells. Repeating this protocol in three additional animals yielded results consistent with this representative example for both anteriorly and posteriorly biased neurons.
This experimental approach has elucidated two important properties of this system. First, afferent fibers recover and reinnervate neuromasts after acute injury on a time scale that largely matches that of hair-cell regeneration. Second, afferent fibers evidently remember the polarity of the hair cells that they innervated before ablation. This consistency in the preference for hair-cell polarity led us to question whether the neuron passively interprets hair-cell polarity cues or plays an instructive role in determining hair-cell polarity. To distinguish between these possibilities, we determined the polarities of hair cells in neurogenin1 mutant zebrafish, which lack the PLL nerve and possess supernumerary neuromasts (Grant et al., 2005; López-Schier and Hudspeth, 2005). The neuromast hair cells of mutant larvae were polarized normally across a plane of mirror symmetry despite the complete absence of the PLL nerve (Fig. 7), ruling out a scenario in which the neuron dictates hair-cell polarities.
Discussion
Our in vivo time-lapse imaging revealed that each lateral-line afferent neuron specifically contacts hair cells of a common hair-bundle polarity within a neuromast and across multiple consecutive neuromasts. Because these studies relied on membrane propinquity alone to signal the presence of intercellular contacts, we created a reagent, HRP-mCherry, that allowed us to confirm that fluorescently marked contacts correspond at the electron-microscopic level to synapses between hair cells and afferent terminals. Finally, we examined the reestablishment of neuronal connectivity after hair-cell ablation and found that afferents promptly resume contact with regenerating hair cells of the same polarity as those innervated originally.
The receptive fields of single afferent neurons
Before this study, electrophysiological evidence had suggested that lateral-line afferents synapse with hair cells of the same polarity. The bipartite pattern of action potential firings in nerve recordings from the Xenopus lateral line reflects the afferent wiring of two populations of hair cells with opposite polarity (Görner, 1963). Single-neuron recordings from the PLL ganglion of zebrafish have more recently demonstrated the receptive field to be confined to unidirectional mechanical stimuli (Obholzer et al., 2008). Our findings provide direct anatomical evidence that each afferent fiber contacts hair cells of the same polarity and a statistical demonstration of the consistence of this pattern.
We noted that the majority of afferent neurons stably innervate several neuromasts (Fig. 3 D,E). This represents a more extreme version of the pattern seen in amphibians, in which only a fraction of afferent fibers innervate multiple stitches of clustered neuromasts (Fritzsch, 1989; Mohr and Görner, 1996). The variability in the sizes of receptive fields in the zebrafish PLL casts doubt on whether the primary purpose of this sensory system is a fine-grained mapping of the periphery through a one-to-one allocation of afferents to neuromasts. The innervation of multiple neuromasts may represent a compromise that boosts the sensitivity of the system through the binning of adjacent inputs. It is reassuring that afferents rarely innervate nonconsecutive neuromasts, for this would place a seemingly unnecessary burden on the establishment of an appropriate pattern of neural connections.
Somatotopy, the mapping of sensory inputs to corresponding positions in the brain, has been demonstrated in the central projection of the lateral-line nerve of larval zebrafish (Alexandre and Ghysen, 1999; Gompel et al., 2001). Compared with anterior lateral-line neurons, PLL neurons project to a more dorsomedial position in the hindbrain (Alexandre and Ghysen, 1999). A PLL neuron extends its central axon before neuromast innervation, and the position of the target neuromast can be predicted from the morphology of the growth cone (Gompel et al., 2001). These findings suggest a marked degree of intrinsic patterning before synaptic contact with hair cells. With this in mind, we scrutinized neurons innervating multiple neuromasts to learn whether these neuromasts were coinnervated in any reproducible pattern. For example, do the fifth and sixth neuromasts of the larval PLL always wire together? Except for the terminal neuromasts located on the caudal tailfin, we found no consistent pattern of coinnervation, so it remains possible that some flexibility in neuromast choice exists and that the prepatterning of afferents guides but does not strictly determine this choice.
HRP-mCherry, a tool for correlative electron microscopy
Because specialized organelles regulate neurotransmitter release, evidence of intercellular contact is insufficient to infer the presence of a synapse. We therefore developed HRP-mCherry to provide direct evidence that sites of membrane contact between hair cells and afferent neurons represent functional synapses (Fig. 5 E,F,K–M). Horseradish peroxidase requires glycosylation for its enzymatic activity (Veitch, 2004), so we designed a fusion protein in which the enzyme moiety is situated at the N terminus and is directed across the membrane by a signal peptide. Linkage of the fluorescent protein mCherry to the extracellular horseradish peroxidase by the transmembrane region of N-cadherin then allows fluorescent as well as electron-microscopic labeling of specific cells.
This approach offers a significant improvement over previously available techniques for correlating neurolemmal fluorescence in vivo with electron-dense precipitates, such as tetracysteine tags or CD2::HRP. Tetracysteine tags require the use of potentially toxic arsenical compounds as well as sharply focused illumination, which precludes the uniform labeling of lengthy cellular processes. Unlike HRP-mCherry, CD2::HRP necessitates the coexpression of a fluorescent protein, which may be inconvenient and provides no stoichiometric relation between fluorescence intensity and electron density. The extracellular reaction product of HRP-mCherry does not interfere with the observation of organelles within a labeled cell. Although the reaction product diffuses somewhat, labeling is sufficiently circumscribed that the identity of a labeled cell is clear (Fig. 5 H,I).
Synaptic-target selection by developing afferent neurons
Although an obvious requirement for the proper functioning of sensory circuits is that neurons form synapses with the appropriate targets, we lack a comprehensive understanding of the factors that guide the choice of target cells (Benson et al., 2001; Waites et al., 2005). We have illustrated an experimental preparation that facilitates the study of synaptogenesis through noninvasive optical techniques in a living vertebrate. An attractive feature of this system is that an experimenter may readily determine relevant properties of both presynaptic and postsynaptic cells. For the hair cell, it is possible to ascertain the position on the larval surface and the axis of mechanosensitivity. For the afferent neuron, one can observe the complement of neuromasts innervated, the specific hair cells selected, and the pattern of axon projections in the hindbrain. These features permit the study of synaptogenesis at the resolution of individual contacts in a system that is amenable to experimental manipulation, properties usually associated with neuronal cultures or invertebrate organisms.
A noteworthy aspect of this experimental system is the temporal course of synaptic target selection and stabilization. The evidence for polarity bias was strong at every time examined, and we detected no significant change in the degree of bias (Fig. 3 A,B). This result suggests that the neurons respond to polarity cues throughout neuromast growth and turnover. This conclusion contrasts with that for sensory circuits in which there are distinct periods of exuberant synaptogenesis and activity-dependent synaptic elimination, such as occurs in the mammalian visual system (Luo and O'Leary, 2005).
The mechanism of synaptic specificity
The wiring specificity documented here could arise if the afferent neurons instruct hair cells to assume a certain polarity. Because the hair bundles of mutant animals lacking the PLL nerve are polarized normally (Fig. 7), however, this mechanism is unlikely. Another possibility is that a polarity signal within the neuromast dictates both the polarity of the hair cells and the synaptic targets of the neurons. One argument against this arrangement comes from large neuromasts with multiple planes of mirror symmetry, in which hair cells of opposing polarities are extensively intermixed. A neuron contacts all the hair cells of a specific polarity regardless of their location within such a neuromast (Fig. 6 I,J). The consistent choice of hair-cell polarity across several neuromasts provides a second piece of evidence, for it is difficult to understand how an individual fiber would receive the same polarization instructions as it entered distinct neuromasts.
The most likely possibility, and one that is consistent with all of our observations, is that afferent neurons have a capacity to sense the polarity of the hair cells and synapse accordingly. Mechanisms of this sort can be divided into two broad and potentially overlapping categories (Cline, 2003): those that require synaptic activity and those that do not. Although we cannot rule out either possibility, our data provide some initial clues and permit us to outline future studies to determine the underlying mechanism. The consistent polarity preference of afferent fibers before and after hair-cell elimination (Fig. 6) is interesting in this regard. If afferents behave as detectors of coincident synaptic release, then the choice of hair-cell polarity after reinnervation should be determined by the polarity of the first hair cell encountered. Because this was not observed, it is likely that afferents are specified to prefer a certain polarity or that, once a preference has been established, afferents remain committed to this polarity even after hair-cell ablation.
The availability of tools to manipulate electrical activity in selected cell types in vivo will permit further investigation into the processes involved. Using hair cell-specific promoters, one may constitutively silence synaptic activity by expressing the inwardly rectifying potassium channel Kir2.1 (Burrone et al., 2002) or temporally modulate synaptic release with Chlamydomonas channelrhodopsin-2 or Natronomonas halorhodopsin (Nagel et al., 2003; Zhang et al., 2007). The same approaches could also be used to investigate how afferent receptive fields are established. For example, afferent fibers might compete for neuromasts and hair cells in an activity-dependent manner similar to that observed for retinal ganglion cells in the optic tectum (Hua et al., 2005). By delineating the molecular processes responsible for the establishment of synaptic specificity, this approach should shed light on the mechanism by which sensory systems decompose environmental stimuli in the periphery and then recapitulate the richness of sensory information in the brain.
Footnotes
This work was supported by National Institutes of Health Grants DC00241 and DC07294 and Medical Scientist Training Program Grant GM07739. A.N. is the recipient of Ruth L. Kirschstein National Research Service Award Predoctoral Fellowship NS62486. A.J.H. is an Investigator of Howard Hughes Medical Institute. We thank A. Afolalu for expert fish husbandry, Dr. P. Brehm for the islet1:GFP fish, Dr. A. Chitnis for the HuC:GFP fish, Dr. H. Baier for the Brn3c:gap43-GFP fish, the Zebrafish International Resource Center for the neurogenin1 mutant fish, Dr. S.-I. Higashijima for the HuC:GFP cDNA, Dr. P. Ortiz de Montellano for the HRP-C cDNA, Dr. A. North for assistance with the spinning-disk microscope, and Drs. E. Fuchs and A. Pasolli for access to the transmission electron microscope. Dr. E. Gonzalez, J. A. Robbins, Dr. M. Schober, and the members of our research group provided helpful comments on this manuscript.
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