Abstract
Most non-mammalian vertebrate species add new neurons to existing brain circuits throughout life, a process thought to be essential for tissue maintenance, repair, and learning. How these new neurons migrate through the mature brain and which cues trigger their integration within a functioning circuit is not known. To address these questions, we used two-photon microscopy to image the addition of genetically labeled newly generated neurons into the brain of juvenile zebra finches. Time-lapse in vivo imaging revealed that the majority of migratory new neurons exhibited a multipolar morphology and moved in a nonlinear manner for hundreds of micrometers. Young neurons did not use radial glia or blood vessels as a migratory scaffold; instead, cells extended several motile processes in different directions and moved by somal translocation along an existing process. Neurons were observed migrating for ∼2 weeks after labeling injection. New neurons were observed to integrate in close proximity to the soma of mature neurons, a behavior that may explain the emergence of clusters of neuronal cell bodies in the adult songbird brain. These results provide direct, in vivo evidence for a wandering form of neuronal migration involved in the addition of new neurons in the postnatal brain.
Introduction
The migration and integration of new neurons into brain circuits is an essential process in vertebrate development. In mammals, this process is completed before or soon after birth, except in the dentate gyrus of the hippocampus (Altman and Das, 1965; van Praag et al., 2002) and the olfactory bulb (Altman, 1969; Lois and Alvarez-Buylla, 1994) in which it continues throughout life. In contrast, postnatal neurogenesis is found throughout the forebrain of many other vertebrate species (Kaslin et al., 2008). Since its discovery, postnatal neurogenesis has stimulated interest as a potential therapeutic treatment (Nottebohm, 1985; Okano and Sawamoto, 2008) and as a substrate for behavioral plasticity (Alvarez-Buylla et al., 1990a).
Songbirds are a useful model system for the study of postnatal neurogenesis because they add new neurons to many regions of the forebrain, including the HVC (high vocal center), a specialized forebrain circuit that controls singing (Paton and Nottebohm, 1984). HVC continually receives new excitatory neurons that project to downstream motor nuclei forming a pathway essential for singing (Alvarez-Buylla et al., 1988a). The addition of new neurons to HVC is increased by both the death of mature neurons (Scharff et al., 2000) and by behavioral demands, such as song learning (Nordeen and Nordeen, 1988; Kirn et al., 1994) and high rates of singing (Alvarez-Borda and Nottebohm, 2002). New neurons are born in the walls of the lateral ventricle (Alvarez-Buylla et al., 1990b; Scott and Lois, 2007) and migrate for 1–2 weeks before they reach their final location (Alvarez-Buylla et al., 1988b). However, little is known about how these new neurons move through the mature nervous system and integrate into existing circuits.
It has been proposed that fibers of radial glia provide a migratory scaffold for young neurons and guide them to their integration targets in the zebra finch brain (Alvarez-Buylla et al., 1988b). This form of migration, termed radial migration, is the primary form of migration for projection neurons in the embryonic cortex (Ayala et al., 2007). However, as development proceeds, the amount of extracellular space decreases (Bondareff and Narotzky, 1972) and the stability of the neuropil increases (Holtmaat et al., 2005), raising the possibility that another specialized form of migration may be required to navigate the postnatal brain. Indeed, in the mature mammalian brain, newborn olfactory granule neurons migrate along a specialized corridor called the rostral migratory stream (Lois et al., 1996). We wondered whether a specialized form of migration also exists for new neurons in the songbird brain.
To address this question, we used two-photon in vivo imaging to observe the migration and integration of genetically labeled new neurons into the HVC of juvenile zebra finches. We observed that most young neurons exhibit a multipolar morphology, extend dynamic processes that explore extracellular space, and migrate in a wandering manner. After ∼2 weeks, cells stop migration in close proximity to resident neurons and begin to integrate into the circuit. These data reveal a novel form of neuron migration related to the addition of new neurons to the juvenile songbird brain.
Materials and Methods
Virus production.
All oncoretroviral vectors used were based on the Moloney murine leukemia virus. Gene expression was driven by the internal promoter of the Rous sarcoma virus, which we have shown previously to be a strong promoter in migrating neurons in the zebra finch (Scott and Lois, 2007). Viral particles were produced as described previously (Lois et al., 2002) and concentrated to 0.5–5 × 106 infectious units per microliter. Aliquots of viral vector were stored at −80°C until used.
Animals.
All experiments were performed in accordance with protocols approved by the Committee on Animal Care at the Massachusetts Institute of Technology. Data were obtained from juvenile zebra finch males (44–72 d old) from our breeding colony at the Massachusetts Institute of Technology.
Surgical procedure.
At 38–55 d old, birds were removed from the breeding colony and underwent stereotaxic surgery. Anesthesia was maintained with 1–2% isoflurane in air. Birds for immunohistochemical analysis received 2-mm-diameter craniotomies dorsal to HVC on the right hemisphere. Injections of GFP-carrying viral vector (600–900 nl total volume) were targeted to the ventricular zone (VZ) dorsal to HVC (0.0 mm anterior, 2.1 mm lateral of the bifurcation of the sagittal sinus, and 0.1–0.2 mm below the dura). After recovery, finches were housed with other males in our aviary.
Surgery to prepare animals for in vivo imaging was the same as above except for the following modifications. One molar mannitol (20 μl/g) was administered to decrease intracranial pressure and reduce bleeding during surgery. Larger craniotomies, 3–4 mm in diameter, were made above HVC to accommodate the chronic implant. Care was taken to minimize bleeding of the dura surface. After skull removal and viral injections, a thin layer of transparent biocompatible silicone (Kwik-Sil; WPI) was applied to the dura, and a coverglass was placed on top. We began experiments with 5-mm-diameter coverglass (1943-00005; Bellco Glass) and switched to 3-mm-diameter coverglass (3 mm circular, #0, Corning 0211 borosilicate glass; Thermo Fisher Scientific). We noticed no difference in the clarity of the optical implant or health of the animal between glass types but found surgery more successful with smaller craniotomies. Optical-curing dental cement (Pentron Clinical Technologies) was used to affix the coverglass to the skull. A small steel plate (4.75 × 2.25 × 1.00 mm) with threaded screw holes was embedded in the dental cement, allowing the head to be temporarily mounted onto the microscope stage to maintain head placement during imaging. Birds also received 50 nl injections of DiI (Invitrogen) dissolved to 5 mg/ml in dimethylformamide (Sigma) into area X (5.2 mm anterior, 14.mm lateral of the bifurcation of the sagittal sinus, and 2.75 mm below the dura). After surgery and between imaging sessions, a small amount of opaque biocompatible silicone (Kwik-Cast; WPI) was applied to the coverglass to protect the glass from debris and the brain from light. Birds were housed individually in acoustically isolated chambers. Songs were recorded in some birds to verify that the optical window, surgery, and repeated anesthesia did not disrupt normal development. Birds were kept on 12 h or 16/8 h light/dark schedules.
Histology and immunocytochemistry.
Histological procedures are similar to those described previously (Scott and Lois, 2007). Eight days after injection with retroviral vectors, animals were deeply anesthetized and perfused with 3% paraformaldehyde (Sigma). After removal from the skull, brains were postfixed in 3% paraformaldehyde overnight at 4°C. Tissue sections, 40 μm, were cut with a vibrating microtome (Leica). Sections containing HVC were incubated in blocking solution with 2% milk and 0.25% Triton X-100 in PBS for 20 min at room temperature and then transferred to primary antibody solution that included rabbit anti-GFP (AB3080; Millipore Bioscience Research Reagents) diluted 1:400 in blocking solution and a second primary antibody (see below for list of antibodies and dilutions) in blocking solution and incubated overnight at 4°C. Sections were washed three times in PBS for 45 min total and then transferred to secondary antibody solution of Alexa Fluor 488 goat anti-rabbit IgG (A11008; Invitrogen) and Alexa Fluor 555 donkey anti-goat IgG (A21432; Invitrogen) or Alexa Fluor 647 goat anti-mouse IgM (A21238; Invitrogen), each diluted 1:750 in blocking solution, incubated 2 h at room temperature, washed as before, and mounted. Imaging was performed with an Olympus Fluoview confocal microscope and analyzed with NIH ImageJ.
To examine the relationship between neuroblasts and radial glia, sections were stained for vimentin using 40E-C supernatant (Developmental Studies Hybridoma Bank, University of Iowa) diluted 1:10. Doublecortin (DCX) was detected using a goat polyclonal antibody (diluted in blocking solution 1:500) (sc8066; Santa Cruz Biotechnology). Hu was detected using a mouse monoclonal antibody (diluted in blocking solution 1:25) (A21271; Invitrogen). NeuN was detected using a mouse monoclonal antibody (diluted in blocking solution 1:500) (MAB377; Millipore Bioscience Research Reagents).
To estimate the percentage of HVCX neurons labeled by our injection of DiI into area X, we performed dual injections of two different color fluorescent retrograde tracers. In three adult male zebra finches, we injected 60 nl of DiI into the right area X, and then we injected 60 nl of the β-subunit of cholera toxin conjugated to Alexa Fluor 488 (CTB-488) at a location 200 μm away from the site of the DiI injection. After 1 week, we perfused the animals and counted the number of cells in HVC labeled with DiI and/or CTB-488 in histological sections. We compared the percentage of DiI-labeled cells and CTB-488-labeled cells to all labeled HVCX (250 cells total: DiI alone, CTB-488 alone, and dual labeled cells). DiI labeled 99.0 ± 1.0% of all labeled HVCX neurons, whereas CTB-488 labeled 97.3 ± 1.7% of all labeled HVCX. This observation suggests that a 60 nl injection of DiI into the center of area X is sufficient to label the majority of HVCX neurons. This observation also supports previous reports that the projection from HVC to area X is not topographic (Luo et al., 2001).
Two-photon microscope.
Imaging was performed on a custom-built two-photon laser-scanning microscope. GFP-positive (GFP+) and DiI+ cells were excited by near-infrared light (960 nm) produced by a titanium:sapphire laser (Tsunami; Spectra Physics) pumped by a 10-W solid-state laser. Images were acquired using a 20×, 0.95 NA water-immersion objective lens (Olympus) and photomultiplier tubes (H7422; Hamamatsu).
Time-lapse imaging.
Beginning 4–7 d after surgery, animals were anesthetized with 0.8–1.2% isoflurane in oxygen, and their head was fixed under the two-photon microscope objective. The birds rested on a pad heated to 42°C. The microscope objective and head post were also heated to 42°C, and the immersion fluid above the objective was heated to 34–36°C. To produce high time-resolution movies of migration, images were acquired every 6 min for up to 7 h (n = 3 birds). Imaging was performed during night hours, which allowed us to use lower concentrations of isoflurane (∼0.8%) to maintain anesthesia. Other birds were imaged every 48 h (11 birds), 12 h (2 birds), and 3 h (2 birds). The duration of imaging sessions ranged from 30 to 45 min. Between imaging sessions, animals were housed singly or in pairs.
Labeling blood vessels.
To test whether blood vessels formed a scaffold for migration in HVC, we recorded the positions of 11 GFP+ cells from two animals at 3 h intervals for up to 15 or 18 h. Each imaging session lasted 20–30 min. This time included the induction of anesthesia, mounting of the finch in the head-restraint apparatus, and the acquisition of the z-stack through HVC. After imaging, animals were returned to their cage until the next session. To label blood vessels, we injected 50 μl of 20 mm sulforhodamine 101 (Invitrogen) into the breast muscle 5–10 min before the final imaging session. This protocol yielded identical results compared with intramuscular injection of fluorescein conjugated to 70,000 molecular weight dextran (Invitrogen) and labeled blood vessels for many (12+) hours. We then compared the blood vessel pattern with the migration trajectories of the GFP+ cells and recorded the position of the soma to the nearest blood vessel.
Data analysis and statistics of two-photon microscopy images.
Images were acquired using ScanImage software (Pologruto et al., 2003) and processed for contrast, color, and alignment using NIH ImageJ. Z-stacks from individual time points were aligned using the Stacks-shuffling/Align Slices plug-in available from the Wright Cell Imaging Facility. GFP+ cells were traced using Neurolucida. To track migration paths, image stacks acquired at different time points were first aligned in 3D using the position of the center of the cell body of DiI-labeled HVCX neurons as reference points. The position of the center of GFP+ cells was identified by hand and recorded in NIH ImageJ. Migration trajectories were reconstructed using MATLAB.
After processing, we took two measurements of cell movement using the reconstructed trajectories. The first was path length (i.e., total distance we observed the cell to move) and the second was displacement (i.e., radial distance, the distance between the start and end points along a path). In addition, we also calculated displacement for subsets of the migration path corresponding to discrete time intervals (i.e., cell displacement over 3 h), which we used to compare migration across different imaging timescales. The Rayleigh's test, a statistical measure of uniformity in circular data (Fisher, 1996), was performed in MATLAB using a script written by Philip Berens (Max Planck Institute for Biological Cybernetics), which is available at http://www.mathworks.com/matlabcentral/fileexchange/10676.
To evaluate the significance of the difference in the r2 statistic between the linear model and the random walk model, we calculated the p value using a bootstrapping approach. We created a surrogate dataset, composed of elements from our original dataset, of 641 time points from 24 neurons but drawn at random with replacement. We then performed regression analysis on the surrogate dataset assuming a linear model (displacement vs time) and a random walk model (displacement vs the square root of time). This procedure was iterated 1000 times, and, for each iteration, we determined whether the r2 value was higher for the linear model or the random walk model. The p value we report is the ratio of the number of iterations in which the r2 value for the regression to the linear model was greater than the r2 value for the regression to the random walk model versus the total iterations. The r2 value for the linear model was less than the r2 value for the random walk model in all iterations, suggesting a p < 0.001.
To quantify the proportion of tips that contained swellings, we examined 71 unique processes from more than four cells imaged at 6 min intervals. Process tips were considered growing if they experienced at least 18–30 min of growth. Process tips were considered retracting if they experienced at least 18–30 min of retraction. Some processes experienced periods of both growth and retraction over the duration of imaging (5.5 h). For these processes, we counted each period of growth or retraction as a unique process.
Results
Multiple migratory neuronal types in the postnatal brain
HVC contains two types of projection neurons, those neurons projecting to area X of the striatum and those that project to the premotor nucleus RA, henceforth referred to as HVCX and HVCRA neurons, respectively (Fig. 1a). HVCX neurons are born almost exclusively during embryonic development and many persist for the lifetime of the animal (Alvarez-Buylla et al., 1988a), whereas most HVCRA neurons are born postnatally and continue to be added throughout adult life (Kirn et al., 1999). We previously determined that HVCRA neurons, which are born during the critical period for vocal learning in zebra finches (40–90 d after hatching), are derived from the pallial VZ dorsal to HVC (Scott and Lois, 2007). Neurons born in this region migrate to targets within HVC and to surrounding regions up to 3 mm away from the VZ. To visualize the addition of new HVC neurons, we labeled the dividing neuroblasts in this region in 40- to 60-d-old zebra finch males with a GFP-encoding oncoretroviral vector. Oncoretroviral vectors can only infect actively dividing cells, such as neuronal progenitors, and will not infect postmitotic cells, such as neurons (Roe et al., 1993). At 8 d post infection (dpi), soon after new neurons begin to enter HVC (Barami et al., 1995; Kirn et al., 1999), we examined the morphology and distribution of GFP+ cells in histological sections from six birds. At 8 dpi, we observed many GFP+ cells, in and around HVC as well as in the VZ (Fig. 1b). Approximately 30% (14 of 52) of GFP+ cells in HVC had a morphology that resembled classically described bipolar migratory neurons (Rakic, 1972) and were frequently (10 of 14) associated with radial glia (Fig. 1c). In contrast, the majority of GFP+ cells in HVC (38 of 52) at 8 dpi had a multipolar morphology with three to eight (mean of 4.0) processes extending in multiple directions from the cell body (Fig. 1d) and were infrequently (3 of 38) associated with radial glia. Both cell types were also observed in the regions surrounding HVC. In addition, some bipolar cells within HVC extended leading processes outside HVC, suggesting that some migratory cells may pass through HVC en route to other areas (Fig. 1b).
To investigate the identity of multipolar cells (n = 225), we used antibodies against neuronal markers (Fig. 2). At 8 dpi, most multipolar cells within HVC expressed DCX (50 of 75; Fig. 2a) (a marker for migratory and immature, postmigratory neurons) (Francis et al., 1999; Gleeson et al., 1999; Boseret et al., 2007) and Hu (70 of 75; Fig. 2b) (a marker for neurons at all developmental stages) (Barami et al., 1995), but few expressed NeuN (1 of 75; Fig. 2c) (a marker for mature neurons) (Mullen et al., 1992), suggesting that multipolar cells were committed to a neuronal fate although they had not completed their maturation.
Migratory behavior of new neurons in vivo
To examine the behavior of multipolar cells in vivo, we performed two-photon time-lapse imaging on GFP+ cells in HVC from 4 to 22 dpi. Because HVC is a superficial brain structure extending from 100 to 700 μm below the pial surface, it was possible to image GFP+ cells in vivo for up to 3 weeks. Because of the fact that we could only image a portion of HVC, it was often not possible to image the entire migratory trajectory of a single cell over multiple weeks (see Materials and Methods). Therefore, we followed GFP+ cells (n = 92) for different durations, at 6 min, 3 h, 12 h, or 48 h intervals (Table 1). To accurately identify the positions of GFP+ cells across successive imaging sessions, we retrogradely labeled HVCX neurons by injecting the fluorescent marker DiI into area X (Fig. 3a; see Materials and Methods). The positions of DiI-labeled HVCX neurons relative to each other did not change over time and were used to register imaging fields across successive imaging sessions (see Materials and Methods).
We first examined the behavior of GFP+ cells (n = 14) at 3 or 12 h intervals over 1–6 d. The majority of GFP+ cells (13 of 14) lacked obvious polarity and had multiple processes extending in different directions, closely resembling the multipolar GFP+ cells observed in fixed tissue sections (Fig. 3b and Movie S1). The remaining cell had a bipolar morphology that, as expected, migrated in a straight line away from the lateral ventricle. Surprisingly, multipolar cells were also migratory, moving as much as 126 μm in a single 12 h period (mean ± SD, 42.6 ± 27.1 μm). These cells appeared to migrate for multiple days. The longest trajectory we were able to observe before the multipolar cell left the field of view was 350 μm long and took 120 h (Fig. 3c). Two features of the migratory behavior of these cells were surprising and deviated from previously described forms of migration. First, multipolar cells did not migrate along straight paths; instead, they frequently changed directions and appeared to take a meandering course through HVC. As a result, the tortuosity (τ) of their trajectories, defined as the ratio between path length and the distance between the start and end points of the path, was high (τ = 1.69 ± 0.81). Second, cells changed morphology significantly between imaging sessions, adding and removing most of their processes (Fig. 3d).
The tortuous paths of multipolar cells could be indicative of migration along blood vessels, which serve as a scaffold for migrating neurons in other regions of the brain (Bovetti et al., 2007). We therefore compared the migration paths of 11 multipolar GFP+ cells with the pattern of blood vessels (Fig. 4; see Materials and Methods). None (0 of 11) of the multipolar cells followed the pattern of blood vessels, suggesting that these newly generated cells did not use blood vessels as a scaffold for their migration.
Migration dynamics of multipolar cells
To investigate migratory mechanisms, we acquired time-lapse images of 12 additional GFP+ cells in HVC every 6 min for 3.5–7 h. For both bipolar (n = 1) and multipolar (n = 11) cells, movement of the cell body occurred by translocation of the nucleus along one of the processes emanating from the cell body (24 of 24 movements, 12 cells) (Fig. 5a). For multipolar cells, the average distance traveled by the soma during translocation was 11.6 ± 7.7 μm, and the average duration of movement was 58.3 ± 36.0 min. Changes of direction in multipolar cells were accomplished by the cell nucleus invading a process whose heading differed from the previous trajectory (mean turn angle, 97.7 ± 38.9°) (Fig. 5b–d). Before the invasion of a new process, the movement of the cell body would cease (mean rest duration, 53.4 ± 29.3 min), resulting in alternating periods of movement and rest during the course of migration (Fig. 5g). Multipolar cells moved up to 37.1 μm/h (8.5 ± 6.2 μm/h) and changed directions every 152 ± 54 min on average. Bipolar cells, as expected, migrated along a straight path away from the lateral ventricle (Fig. 3e,f). We were unable to detect a bias in the headings of multipolar cells (p < 0.001, Rayleigh's test; see Materials and Methods). If migrating cells in HVC were following a chemoattractant gradient, one would expect cell headings to be biased toward the source of the chemoreattractant. The multiple migratory directions of multipolar cells within HVC suggests that these cells are not guided by a single point source of diffusible chemical cues.
To compare migration across short- and long-duration imaging sessions, we measured displacement rate for multipolar cells. We observed no significant difference in displacement rate between cells imaged during 6-min-duration time-lapse imaging (n = 10 cells) and cells imaged over 3 h durations (n = 11 cells; p = 0.8267, two-tailed t test). To characterize the paths of multipolar cells (n = 24) at all time points (n = 641), we examined whether displacement rate fitted a linear model, in which displacement scales linearly with time, or a random walk model, in which displacement scales with the square root of time (Gruler and Bültmann, 1984). We found that the migration trajectories of multipolar cells were better fit by a random walk model (r2 = 0.71) than by a linear model (r2 = 0.61) (p < 0.001; see Materials and Methods). In contrast to the behavior of multipolar cells, bipolar cells in HVC (n = 2) had straight migratory routes consistent with their association with the radial glia scaffold (Fig. 5e,f).
Growth and retraction of processes during migration
Because the processes of migrating cells served as scaffolds for soma translocation and direction change, we investigated their rearrangement in greater detail (Fig. 6a). Process tips grew and retracted at equal speed (0.67 ± 0.64 μm/min) (Fig. 6b), but on average, processes that were aligned with the direction of movement (see Materials and Methods) experienced significantly more growth than processes oriented in other directions (p < 0.001, two-tailed, two-sample t test) (Fig. 6c). Elongating processes had a swelling at their distal tip (48 of 55 swellings in growing processes) that was absent from retracting processes (0 of 55 swellings in retracting processes) (Fig. 6a; p < 0.001, two-tailed z test). These swellings resembled axonal growth cones and frequently appeared to make contact with the somata of mature neurons (Fig. 6d and Movie S2), perhaps reflecting a sensory role for these process tips.
Multipolar cells differentiate into neurons after migration ends
To determine the fate of multipolar cells, we imaged GFP+ cells (n = 66) at 48 h intervals beginning at either 4 or 6 dpi. Once cells had ceased migrating (n = 16 of 66), we were able to monitor their differentiation into mature neurons (Fig. 7a,b). GFP+ cells labeled on the same day stopped migrating at different times; some cells stopped as early as 10 dpi, whereas others continued to migrate even after 18 dpi (Fig. 7c). Based on morphological evidence, including the presence of dendrites and an axon, all 16 postmigratory GFP+ cells that we observed in HVC appeared to differentiate into neurons (Fig. 7b) and began to form dendritic spines 4–6 d after they stopped migrating. All of the postmigratory GFP+ cells (16 of 16) were found in close proximity to HVCX neurons (mean soma–soma distance, 2.1 ± 2.3 μm) (Fig. 7d,e), and 75% (12 of 16) were close enough to make soma–soma contact with these cells, although it was not possible to confirm somatic contact given the spatial resolution of our in vivo imaging setup and the nature of DiI labeling in HVC. In contrast, GFP+ cells that continued migrating over the subsequent imaging interval were significantly farther, on average, from HVCX neurons (mean soma to soma distance, 12.2 ± 8.5 μm; p < 0.007, t test; Fig. 7e).
Discussion
A wandering form of migration in the postnatal forebrain
Using histological analysis and in vivo two-photon imaging, we have characterized the migration of new neurons in the juvenile zebra finch forebrain. We focused our attention on the song nucleus HVC because it has been hypothesized that neurogenesis in this region is involved in song learning and because its superficial position allowed migration to be imaged in vivo. Examination of histological sections from HVC 1 week after infection with oncoretroviral vectors carrying the gene for GFP revealed that some young neurons (∼30%) had a bipolar morphology and were tightly apposed to the fibers of radial glia. This morphology is consistent with those of immature neurons undergoing radial migration, which is thought to be the primary mode of migration for projection neurons during the assembly of the mammalian cortex as well as the songbird forebrain. However, the majority of young migratory neurons (∼70%) exhibited a multipolar morphology, with no obvious polarity, and multiple processes emanating from the soma. In vivo imaging revealed that the processes from these cells were dynamic, growing and retracting in multiple directions. Surprisingly, in vivo imaging also revealed that these young multipolar neurons did not migrate along straight paths. Instead, they moved in a saltatory pattern, alternating between periods of forward movement and periods of rest, during which the direction of movement of the cell changed. This migratory behavior, which we term wandering migration, contrasts with the common view that neurons, derived from the pallial VZ, migrate in straight lines along a radial glia scaffold.
A similar form of wandering migration has been observed for interneurons migrating in in vitro slice explants from the embryonic mammalian cortex. Migratory interneurons, derived from the medial and lateral ganglionic eminences, can exhibit multipolar morphology (Nadarajah et al., 2003; Tanaka et al., 2006) and exhibit dynamic branch growth, leading to the formation of new leading processes (Britto et al., 2009; Martini et al., 2009). Time-lapse imaging in vitro has revealed that young cortical interneurons, migrating in the intermediate zone and marginal zone, also move in an undirected, random walk pattern (Tabata and Nakajima, 2003; Tanaka et al., 2009). It has been suggested that this random walk form of migration may be an artifact of the in vitro slice preparation used in time-lapse experiments (Tanaka et al., 2009). However, our two-photon imaging results indicate that this wandering behavior also occurs in vivo and may be used for the displacement of neurons derived from the pallial VZ.
Although young cortical projection neurons in mammals do not exhibit wandering migration, these cells transiently become multipolar after entering the intermediate zone during radial migration (LoTurco and Bai, 2006). During this multipolar stage, cells detach from radial glia and their processes move in a dynamic manner (Tabata and Nakajima, 2003; Noctor et al., 2004). However, during this stage, movement of the cell soma is minimal (Noctor et al., 2004). In contrast to the short time during which cortical projection neurons become multipolar, neurons in the songbird pallium exhibit multipolar morphology for many days, over which period they travel hundreds of micrometers.
Bipolar and multipolar neurons in HVC
Our experiments revealed the presence of both multipolar and bipolar migrating cells in the juvenile avian forebrain. As in mammalian cortical migration, the bipolar and multipolar morphologies may also represent two distinct phases of migration, between which young neurons can switch (Nadarajah et al., 2003). Indeed, it was proposed previously that neurons in the canary brain migrated along radial glia for the first few weeks on their way to deep brain regions and then transitioned to a second form of migration independent of radial glia (Alvarez-Buylla and Nottebohm, 1988). Although we did not observe these hypothetical transitions between radial to wandering migrations during in vivo time-lapse imaging, our data are consistent with this model in which young neurons initially migrate along a radial glia scaffold and then switch to wandering migration for the final few hundred micrometers. Several observations suggest that this hypothetical transition between radial to wandering migration would be difficult to detect with our imaging system. First, based on our histological analysis at 8 dpi, cells with a bipolar morphology constitute only ∼30% of young neurons in HVC. Second, radially migrating cells are difficult to detect in vivo because of their simple morphology and the fact that their main axis is oriented perpendicular to our imaging field of view. Finally, given their speed and migration trajectory, we were seldom able to track individual cells that were migrating radially. Our imaging region was restricted to the dorsal ∼300 μm of the brain and radially migrating cells descend ventrally, following the scaffold of radial fibers. Therefore, most bipolar cells would quickly move out of imaging field into regions in which we could not track them. Given these facts, one would expect the detection of the hypothetical transition between radial and non-radial migration in vivo to be rare. Therefore, the fact that we did not observe a transition from bipolar to multipolar does not rule out this two-stage model of neuron migration.
Alternatively, the bipolar and multipolar cells that we observed may represent different populations of neurons that exclusively use radial or wandering forms of migration, respectively, for their displacements. Albeit possible, we think that this scenario is not likely given that the evidence from other systems indicates that most neuronal types studied do not use a single form of migration exclusively. For example, during the course of their journey, neurons in the mammalian cortex (O'Rourke et al., 1992; Nadarajah et al., 2003; Noctor et al., 2004), cerebellum (Köster and Fraser, 2001), and olfactory bulb (Lois et al., 1996; Hu et al., 1996) have been observed to exhibit changes in morphology, polarity, direction, and the migratory scaffold they use. However, it is possible that some of the bipolar cells that we observed may belong to two different populations. First, bipolar cells migrating radially in their initial stages of migration that would transition to wandering migration and integrate within HVC and become HVCRA neurons. Second, bipolar cells migrating radially through HVC whose final destination would be outside of HVC. Additional experiments will be necessary to clarify these issues.
Wandering migration and the formation of neuronal clusters
Although new neurons in HVC migrate in a wandering manner, their integration appears to follow a pattern, because these new cells preferentially integrate into positions in which their soma comes into close proximity to the somata of mature resident HVCX neurons. A similar phenomenon has been documented in the HVC of adult canaries in which new neurons integrate into positions in which they make close soma–soma contact with mature HVCX, HVCRA, and interneurons (Kirn et al., 1999). Indeed, analysis of HVC by electron microscopy has revealed that the somata of new HVC neurons establish membrane–membrane contacts with mature HVC neurons (Burd and Nottebohm, 1985). Moreover, newly integrated cells often contact multiple mature neurons simultaneously, thereby forming small groups of neurons, which have been referred to as “clusters” (Burd and Nottebohm, 1985; Holzenberger et al., 1997; Kirn et al., 1999). Such cluster organization is evident in the HVC adult zebra finches as well (B. B. Scott, unpublished results).
It has been speculated that these clusters may represent an important anatomical unit in the songbird HVC. Interestingly, ultrastructural analysis suggests that neurons within these clusters may be coupled by gap junctions (Gahr and Garcia-Segura, 1996). This observation has led to the hypothesis that young HVCRA neurons and mature HVCX neurons may be electrically coupled and that such clustering could facilitate the entrainment of new cells into the functioning circuit (Alvarez-Buylla and Kirn, 1997). Additional experiments are required to elucidate the potential relationship between migrating neurons and mature neurons in HVC. However, the fact that wandering neurons terminate their migration adjacent to HVCX during the juvenile period may account for the existence of neuronal clusters in HVC in the adult songbird brain and suggests that the termination of the wandering migration of a young neuron may be regulated by interactions with mature neurons.
The mature brain presents migrating neurons with different challenges compared with the embryonic brain. As development proceeds, the stability of neuronal connections increases (Holtmaat et al., 2005) and the amount of extracellular space decreases (Bondareff and Narotzky, 1972). One cellular strategy to navigate the landscape of mature neural circuits is to move through established corridors in the neuropil. This is the approach used by young olfactory bulb granule neurons gliding along the rostral migratory stream (Lois et al., 1996). However, for young neurons to disperse in three dimensions and to migrate among the mature resident neurons, another strategy may be required. The wandering behavior of migratory cells in HVC may be a strategy that allows new neurons to navigate the complex terrain of the mature nervous system. Our observations are also consistent with a model of circuit assembly in which young neurons are not committed to a particular integration target; instead, they may patrol the forebrain until signals from preexisting neurons prompt them to terminate their migration and integrate into the circuit.
Footnotes
This work was supported by a grant from the Ellison Foundation (C.L.). We thank S. Turaga and A. Andalman for help with data analysis and T. Davidson and N. Denisenko for their comments on this manuscript.
- Correspondence should be addressed to Carlos Lois, Department of Neurobiology, Lazare Research Building, 364 Plantation Street, Worcester, MA 01655. Carlos.Lois{at}umassmed.edu