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Feather arrays are patterned by interacting signalling and cell density waves
William K. W. Ho, Lucy Freem, Debiao Zhao and 16 more
PLOS Biology · 2019 · CC BY
doi:10.1371/journal.pbio.3000132
Abstract
Feathers are arranged in a precise pattern in avian skin. They first arise during development in a row along the dorsal midline, with rows of new feather buds added sequentially in a spreading wave. We show that the patterning of feathers relies on coupled fibroblast growth factor (FGF) and bone morphogenetic protein (BMP) signalling together with mesenchymal cell movement, acting in a coordinated reaction-diffusion-taxis system. This periodic patterning system is partly mechanochemical, with mechanical-chemical integration occurring through a positive feedback loop centred on FGF20, which induces cell aggregation, mechanically compressing the epidermis to rapidly intensify FGF20 expression. The travelling wave of feather formation is imposed by expanding expression of Ectodysplasin A (EDA), which initiates the expression of FGF20. The EDA wave spreads across a mesenchymal cell density gradient, triggering pattern formation by lowering the threshold of mesenchymal cells required to begin to form a feather bud. These waves, and the precise arrangement of feather primordia, are lost in the flightless emu and ostrich, though via different developmental routes. The ostrich retains the tract arrangement characteristic of birds in general but lays down feather primordia without a wave, akin to the process of hair follicle formation in mammalian embryos. The embryonic emu skin lacks sufficient cells to enact feather formation, causing failure of tract formation, and instead the entire skin gains feather primordia through a later process. This work shows that a reaction-diffusion-taxis system, integrated with mechanical processes, generates the feather array. In flighted birds, the key role of the EDA/Ectodysplasin A receptor (EDAR) pathway in vertebrate skin patterning has been recast to activate this process in a quasi-1-dimensional manner, imposing highly ordered pattern formation.
Full text
From PubMed Central, U.S. National Library of Medicine, as current on Oct 26, 2026. Paragraph numbers are ours, so an answer can point at one.
Introduction
Feathers evolved before birds but today are their primary diagnostic character. Feathers are arranged in clusters called tracts, apparent as well-defined feather-bearing areas of skin at specific body sites. Each tract is a contiguous set of feathers initially laid out with a regular spacing between neighbouring feathers. This typically results in every feather within the developing tract having six nearest neighbours arranged about it, the entire pattern forming a lattice of hexagons. Such a hexagonal arrangement of neighbours is the most efficient packing of a 2-dimensional space, arising through the closest possible positioning of elements when each projects a circular inhibitory influence preventing the placing of new elements nearby.
The skin is a composite tissue, with its epithelium, the epidermis, attached to the underlying mesenchyme, the dermis. The epithelium arises from the embryonic ectoderm, whereas the dermis has distinct embryonic sources depending on anatomical location. Intercellular junctions fix epidermal cells together to form a sheet, limiting their independent movement, whereas the individual cells of the dermis are free to move through the matrix that they secrete. In the embryonic skin, the initiation of feather formation begins with the condensation of dermal mesenchymal cells beneath an epidermal placode (Fig 1A). Both structures are identifiable by the tighter packing of their cells and the alteration of expression of a suite of genes. This combined structure, the feather primordium, then grows into a filament within a follicle, branches internally, and produces a down feather by hatch. In the chicken embryo, the process of laying out the periodic arrangement of feathers begins at precisely stereotyped anatomical sites at embryonic day (E)6.5, laying down a row of feathers as the initiation of each tract. New rows are added progressively in parallel to existing ones such that a wave of feather formation sweeps laterally across the skin (Fig 1B, S1A Fig). These spreading waves terminate before colliding, yielding embryonic tracts containing hexagonal arrays of feather primordia and bare spaces between the tracts. In the chicken, these spaces remain largely unfeathered, but in other species they can become filled with small down feathers.
Prior to the appearance of the dermal mesenchymal cell condensates that represent the rudiment of individual feathers, the prospective feather tracts are identifiable by their high mesenchymal cell density, contrasting with the lower cell density of the future unfeathered skin. Both epithelium and mesenchyme are essential for periodic patterning and feather primordium formation, and this process fails to initiate if either tissue is maintained in isolation. Separations and recombinations of epithelium and mesenchyme from different skin regions have shown that low-cell-density mesenchyme is not capable of supporting feather development, whereas high-density mesenchyme undergoes feather formation together with an overlying epidermis taken from any embryonic site.
The rapid emergence of a regular repeating pattern of feather rudiments has long served as a model for epithelial-mesenchymal self-organisation in development and has attracted much experimental and theoretical effort to define its mechanistic basis. By distorting skin shape and area, Davidson showed that the positions of feathers are not predetermined during embryonic development and that the underlying patterning mechanism does not rely on a mechanism for counting of feather rows, as the number of rows formed is dependent upon skin area. Among the theories proposed to explain skin pattern formation, one set focuses on the potential for cell behaviour to enact pattern formation directly, particularly through physical means such as traction via construction of and migration along a collagen lattice. Shyer and colleagues have coupled such ideas with molecular events by presenting evidence that local contraction of skin arising from mesenchymal tension initiates feather primordium formation through a mechanically triggered stimulation of epidermal β-catenin activity. In general, these ideas centre on motile cell behaviour directly driving tissue patterning, without recourse to a template of altered cell states with differential gene expression.
An alternative set of theories to explain periodic patterning suggests that interacting intercellular signals first define the pattern that will form and that this pattern template then alters cell behaviour locally to enact morphological change. Such Turing or reaction-diffusion systems rely on patterned gene expression as an intermediate stage in pattern formation, distinct from the direct cell aggregation systems produced by mesenchymal cell movement, traction, or compression. In these template-directed systems, cells attain information on their relative locations using diffusible signals, defining activated and nonactivated regions. This requires that cell movement over the time course of pattern definition be limited so that cells acquire information on their relative position and thus appropriate differentiation route relative to the states of nearby and distant cells, without such information being scrambled through rapid changes in cell location.
Alongside the proposal of these overarching patterning mechanisms, molecular approaches have identified several regulators of feather development. The bone morphogenetic protein (BMP) class of extracellular signals have been identified as inhibitors and WNT and fibroblast growth factor (FGF) as stimulators of feather primordium formation. The activity of the extracellular signal Ectodysplasin A (EDA) and EDA receptor (EDAR) have been found to be crucial for hair follicle, tooth, and scale formation in fish, lizards, and mammals. In chicken, targeted experiments found that locally forced stimulation of the EDAR pathway can induce formation of extra feather buds at the margins of expanding tracts. No loss-of-function mutation affecting a component of the EDAR pathway has been identified in birds.
More recently, understanding of the genetic basis of natural variation in feather patterning has further supported the defining role of the BMP and FGF pathways in this process. The Naked neck trait, which is characterised by reduced feathering on the body and an absence of feathers on the neck, was found to be caused by a regulatory mutation leading to increased BMP12 production in the embryonic skin. In this study, simulations of a reaction-diffusion signalling process, with BMPs acting as inhibitor, were sufficient to interpret the experimentally induced pattern changes observed.
The scaleless mutant lacks feathers and foot scales because of a developmental failure of mesenchymal condensate and epidermal placode formation. The trait is caused by a loss-of-function mutation in FGF20, a gene expressed strictly in the epidermis, agreeing with older literature showing that the defect in scaleless mutant skin lies in the epidermis. This mutant line has been used extensively to study the interactions between embryonic dermis and epidermis, and a wealth of results obtained underscore a critical role for the epithelium in the initiation of feather development.
Here, we investigate the integration of intercellular signalling, mesenchymal cell movement and density, and mechanical processes in driving feather pattern formation. We identify EDA/EDAR signalling as the critical signal driving the wave of patterning and spreading across and interacting with a gradient of mesenchymal cell density. These waves are lost, though in different ways, in the flightless ostrich and emu, leading to loss of precise hexagonal periodicity of their feather arrangements.
An integrated cell signalling, cell aggregation, and mechanical process breaks symmetry to achieve periodic patterning of feathers
We first aimed to determine the mechanism underlying the local spatial patterning of feathers. Based on genetic evidence for their importance in feather patterning, we began by investigating the relationship between FGFs and BMPs, and their control of cell aggregation, in developing chicken dorsal skin. To define the role of FGF, we treated skin explant cultures with FGF9 (a member of the FGF9/16/20 subfamily with more stable activity than FGF20) to assess its effect on cell behaviour and feather patterning. We used embryonic skin from the CAG-GFP transgenic line, which expresses green fluorescent protein (GFP) in all cells, to reveal feather primordia as sites of high cell density. Skin explants were cultured and imaged after perturbation of FGF signalling. Treatment of explants with FGF protein yielded differing results depending on the protein’s spatial availability. Local exposure via delivery from an FGF-soaked bead resulted in mesenchymal cell aggregation at the FGF source and disruption to the endogenous condensate pattern, whereas ubiquitous exposure through FGF incorporation into the culture medium inhibited all primordium formation (Fig 1C). Inhibition of FGF signalling, via treatment of explants with SU5402, further demonstrated the importance of FGF signalling in condensate formation (S1B Fig). These findings suggest that FGF protein acts as a chemoattractant inducing mesenchymal cell clustering at its local sources, but ubiquitous exposure blinds cells to endogenous sources. Consistent with a requirement for cell movement in feather condensate formation, Latrunculin A, an inhibitor of actin polymerisation and thus cell movement, also suppresses feather pattern formation (Fig 1C).
Application of BMP4 or other BMP family members reduced the number of feather primordium rows formed in cultured explants in a dose-dependent manner (S1C Fig and S1D Fig). Pharmacological inhibition of BMP signalling using LDN193189 resulted in broad areas of skin assuming primordium identity, with loss of the interprimordium interval (S1E Fig and S1F Fig). Quantitative reverse transcription PCR (qRT-PCR) analysis detected suppression of FGF20 expression after 5 hours of BMP4 treatment, whereas inhibition of BMP signalling led to rapid elevation of FGF20 levels, showing that BMP rapidly negatively regulates FGF20 expression (Fig 1D and Fig 1E). Cotreatment of explants with FGF-soaked beads and ubiquitous BMP4 inhibited endogenous primordium formation but did not prevent cell aggregation at applied FGF protein sources (S1G Fig). Thus, BMP signalling inhibits FGF production but does not abolish cell coalescence at FGF sources.
At the core of periodic patterning systems based on intercellular signalling is the phenomenon of self-activation coupled to lateral inhibition. If FGF and BMP interactions constitute such a system in feather patterning, then FGF signals should stimulate BMP expression. However, we were unable to detect activation of expression of BMP family members (BMP2/4/7) after FGF treatment (S2A Fig), suggesting that these genes are not regulated directly by FGF stimulation. Thus, considering FGF and BMP interactions, we are unable to construct a simple reaction-diffusion system capable of producing a periodic pattern de novo in chicken skin.
We next explored the potential for the process of local cell condensation itself to induce expression of patterning genes. We observed induction of BMP4 and FGF20 expression at sites of cell aggregation induced by applied FGF beads (Fig 1F and Fig 1G). Coadministration of Latrunculin A, to suppress cell movement and thus aggregation, prevented induction of gene expression, demonstrating that cell aggregation, rather than simple exposure to FGF, underlies induction of BMP4 and FGF20 (Fig 1F and Fig 1G). Thus, cell aggregation is both controlled by and stimulates production of these signals required for periodic pattern formation.
Shyer and colleagues recently reported that contraction of embryonic chicken skin, achieved by culturing the skin without a support, is driven by mesenchymal tension. Such contraction causes rapid displacement of β-catenin protein (encoded by the CTNNB1 gene) from epithelial cell junctions and permits nuclear entry of this protein, mimicking the effect of canonical WNT signalling. We assessed whether tissue contraction as performed by Shyer and colleagues might lead to activation of FGF20 expression by culturing chicken skin either unattached and thus free to contract or pinned to filters and thus under tension, and assessing subsequent changes in FGF20 expression. At both time points assessed (2 and 4 hours), FGF20 expression was markedly elevated in the contracted tissue, supporting a role for cell aggregation in rapid activation of FGF20 production (Fig 1H). No other genes that we analysed (AXIN2, BMP2, BMP4, EDA, and EDAR) were observed to alter expression in these conditions (S2B Fig).
These results point to the operation of an integrated reaction-diffusion-taxis system in feather patterning. If such a system underlies patterning, then the appearance of cell aggregates should neither precede nor follow local changes in gene expression, but both features should emerge synchronously. To assess the relative timing of formation of mesenchymal cell aggregates and the activation of feather primordium gene expression, we assessed both cell distribution and gene expression in the same cultured skin samples (Fig 1I and S1H Fig). Detection of marker genes that are specific for or excluded from feather primordia (CTNNB1, AXIN2, EDAR, EDA, FGF20, and BMP4) in CAG-GFP embryonic skin revealed that changes in gene expression occurred simultaneously with changes in mesenchymal cell density. Time-lapse imaging of feather pattern formation in the CAG-GFP skin (S1 Video) shows the appearance and resolution of unstable intermediates. In fixed skin specimens, shapes consistent with such unstable intermediate condensations also show overlapping gene expression (S1H Fig) highlighting the tight temporal coincidence of these two phenomena. This indicates that the formation of the feather periodic pattern does not arise from a strict reaction-diffusion prepatterning system or a pure mesenchymal cell motility-led system but has key features of both. These observations contrast with observations made during mouse primary hair follicle formation, in which periodic foci of gene expression are observed prior to mesenchymal cell condensation.
From these experimental results, we developed a model of the molecular and cellular interactions involved in feather pattern formation (Fig 1J). In this model, local epithelial FGF stimulates mesenchymal cell aggregation. The localised aggregation of mesenchymal cells activates both the expression of BMP4 and amplifies epithelial FGF20 production. BMP proteins diffuse and inhibit FGF production through transcriptional suppression of FGF20. The regulation of cell aggregation by BMP’s suppression of FGF production, together with the local depletion of mesenchymal cells from the regions surrounding the aggregates, results in the formation of discrete and characteristically spaced feather primordia. Such a structure of interactions, incorporating aspects of both reaction-diffusion and mesenchymal condensation into a hybrid reaction-diffusion-taxis model, is capable of breaking symmetry to produce a periodic pattern de novo (Fig 2A). We have recently reported a detailed mathematical analysis of this network structure and its properties.
High feather-pattern fidelity is achieved by patterning in a wave
At the ideal packing density, periodic patterns tend to form a hexagonal lattice. In silico modelling using only the interactions described in Fig 1J did not replicate the chicken skin pattern but instead produced a dappled pattern rather than an evenly hexagonal array. Only when this patterning system is driven by a travelling wave of activation are the spatiotemporal progression of sequential row insertion and a uniformly hexagonal patterning outcome observed (Fig 2A).
We tested in embryonic skin the importance of a wave of patterning in producing a hexagonal arrangement by imposing a transient block on patterning. We noted that inhibition of cell movement, and thus primordium formation, in developing explants via Latrunculin A treatment is reversed once the chemical is removed. E6.5 skin explants cultured with a 24-hour Latrunculin A treatment followed by another 24 hours under control conditions displayed irregular primordium arrangements (Fig 2B), consistent with the absence of a patterning wave resulting from the temporary block on cell movement.
To quantify pattern fidelity, defined as the tendency of the lattice of feather primordia to attain a hexagonal arrangement, images of cultured explants were masked and individual primordia were used as seeds to construct a Voronoi diagram (Fig 2C). The distribution of number of neighbours of the Voronoi cells gives a measure of the hexagonality of the experimentally observed patterns. Approximately 75% and 50% of the Voronoi cells in control skin samples and Latrunculin A–paused explants, respectively, exhibited six neighbours, demonstrating a decrease in pattern fidelity in the latter (Fig 2D). These results are consistent with the presence of a pattern-triggering wave spreading across the skin, such that when the Latrunculin block is removed, patterning does not reinitiate at the midline but occurs essentially simultaneously across the entire tract.
An expanding wave of EDA interacts with a receding wave of β-catenin/EDAR to trigger FGF20 expression
The nature of the wave that triggers feather patterning has been elusive since the first descriptions of sequential feather row appearance. Initiation of feather primordia was reported by Shyer and colleagues to rely on local tissue compression, which was mimicked experimentally by permitting the skin to contract by culturing without a supporting substrate. We assessed whether such local compaction might serve to initiate patterning of the dorsal tract by preparing skin cultures in which a strip of skin parallel to and displaced from the midline was free of the underlying support. This strip was compressed, while the remainder of the skin, including the midline, was pinned taut to a filter to prevent generalised compression. In this condition, we observed an unaltered initiation site and timing of patterning, starting as normal at the midline and expanding symmetrically across the control and experimentally compressed sides of skin at the same rate (S3 Fig). This indicates that feather pattern initiation and its spread from the midline does not rely on heterogeneities in tissue compression.
Based on the mechanistic model defined above, the first step of feather primordium formation is a mild chemotaxis to a source of FGF. We thus reasoned that the key activity of the pattern-triggering wave should be capable of stimulating FGF20 production, which is often detected in a faint streak ahead of and parallel to the most recently formed feather rows (S4A Fig). The expression or activity of the triggering factor should also expand across the skin coincident with the spread of the feather patterning process. Thus, we began by identifying molecules able to induce FGF20 expression. Canonical WNT/β-catenin activation and EDA/EDAR signalling have been reported to induce FGF20 expression in mouse skin. We found that stimulation of each of these pathways, with CHIR99021 or recombinant chicken EDA protein (Fc-chEDA1) respectively, rapidly induced FGF20 expression in embryonic chicken skin (S4B Fig). We also found that stimulation of WNT/β-catenin activity induced EDAR expression in cultured skin (S4C Fig). In situ hybridisation revealed that EDA is expressed as an expanding wave in dorsal skin (Fig 3A). In contrast, CTNNB1 and EDAR expression are first present in a block of skin defining the presumptive tract, and their expression is then maintained in the feather primordia but lost from the interprimordium space as feather rows are laid down. Thus, in the skin, there is a moving front of loss of CTNNB1 and EDAR expression, starting at the midline and receding towards both sides, as the EDA expression wave advances (Fig 3A). Spreading of EDA expression coincident with patterning is also observed in the other anatomical tracts (S4D Fig). Expansion of EDA expression and regression of CTNNB1 expression across the skin is observed in FGF20sc/sc mutant embryos, which define tracts at the molecular level but fail to undergo subsequent specification of feather primordia (S5 Fig). This demonstrates that neither FGF20 function nor primordium formation is required for the propagation of these waves. Simultaneous detection of EDA and CTNNB1 by double whole-mount in situ hybridisation shows that primordium formation is closely associated with the leading edge of EDA expression and the lagging edge of the regressing CTNNB1 wave (Fig 3B). EDA is a secreted protein, and its availability may extend beyond the mRNA location detected by in situ hybridisation.
As primordium induction occurs where the EDA wave’s leading edge meets the CTNNB1 receding edge (Fig 3A and Fig 3B), and because of the ability of both canonical WNT and EDA/EDAR signalling to induce FGF20 expression (S4B Fig), we reasoned that these two signalling pathways may function synergistically to spark primordium formation at their junction. Indeed, we found that when both signalling pathways were stimulated simultaneously via cotreatment with low doses of CHIR99021 and Fc-chEDA1, FGF20 expression is induced to a greater degree than in individual treatments, demonstrating a synergistic regulatory effect (Fig 3C). This explains the induction of FGF20 expression along the stripe where the leading edge of the EDA wave meets the receding edge of the CTNNB1/EDAR wave.
The EDA wave triggers periodic pattern formation and controls tract expansion
Having shown that a wave of EDA induces FGF20 expression and is coincident with the onset of periodic patterning, we assessed the functional effects of EDA on feather primordium formation. Specifically, we predicted that if EDA is the limiting factor for triggering pattern formation, then generalised application of EDA should expand the periodically patterned region. Conversely, suppression of endogenous EDA function should restrict pattern expansion. We tested this by treating skin explants with modulators of EDA/EDAR signalling and measuring the width of the periodically patterned region. Ubiquitous stimulation of EDA/EDAR signalling, using recombinant EDA-A1 for 24 hours, almost doubled the width of FGF20 patterned skin (Fig 3D and Fig 3E), supporting the hypothesis that limited EDA availability normally restricts pattern formation. The converse experiment, that of inhibiting EDA/EDAR signalling with the anti-EDA function–blocking antibody Ecto-D2, narrowed the patterned area compared to control cultures (Fig 3F and Fig 3G), further supporting a key role for endogenous EDA in defining patterning wave expansion. Suppression of BMP signalling, which is required for periodic patterning, did not produce such an effect (Fig 3D and Fig 3E), demonstrating that activation of feather patterning potential—rather than simple suppression of BMP activity—is required to drive the advance of the primordium wave.
To test the role of the EDA wave on feather wave progression in an intact and growing embryo, we introduced the blocking antibody Ecto-D2 into the circulation of E5.5 chicken embryos and continued incubation to day E8.5. Such systemic treatment with Ecto-D2 is capable in mouse of inducing an ectodermal dysplasia phenotype that matches that of EDA gene mutation in exposed embryos. In chicken embryos, this blockade of EDA/EDAR signalling permitted feather patterning but restricted the width of the feather pattern in all tracts as compared to controls (Fig 3H and Fig 3I; S6 Fig), agreeing with the results from skin culture experiments. This treatment also abolished the formation of scleral papillae of the eye, similar to but more severe than the effect of the FGF20sc mutation on these structures (S7 Fig). The feather primordia generated under conditions of EDA suppression failed to develop fully, yielding largely naked skin by incubation days E11.5 and E13.5 (S8A Fig and S8B Fig) and indicating an ongoing need for EDA/EDAR signalling during feather outgrowth. Although placodes and condensates are formed in conditions of EDA suppression, at E8.5 their expression of FGF20 is not polarised normally (S8C Fig and S8D Fig), and this may lead to a failure of their morphogenesis and disappearance over the following days. The converse experiment, stimulating EDA/EDAR signalling in ovo using the EDAR-activating antibody mAb-EDAR3 at E5.5 to E7.5, expanded the feather pattern in the dorsal tracts, also agreeing with the ex vivo explant culture experiments (S9 Fig).
A cell density wave precedes the EDA wave to produce the feather patterning field
These findings show that EDA availability controls the spatiotemporal wave of periodic patterning in avian skin but that this signal is neither absolutely necessary nor absolutely sufficient for this process. Thus, a second factor, independent of EDA, must be both limiting for and sufficient to initiate periodic patterning. Based on the long-recognised importance of cell density in feather development, we considered mesenchymal cell density as a candidate for this second factor limiting competence to undergo periodic patterning. To characterise mesenchymal cell density at different stages of skin development, we counted cells on sectioned embryos, finding a medial-lateral decreasing gradient of cell density (Fig 4A and Fig 4B). Quantification of cell density across the presumptive tracts of developing FGF20sc/sc embryos lacking mesenchymal condensates, and so used to avoid the distortion of mesenchymal distribution by cell recruitment to forming condensates, shows that this medial-high cell density gradient is maintained throughout the period of patterning, even as total mesenchymal cell density increases (Fig 4B). Thus, the EDA wave travels across a dynamic gradient of mesenchymal cell density as it triggers feather formation.
To trace the cell density dynamics involved in the emergence of periodic pattern on the dorsal tract, we performed time-lapse imaging of cultured embryonic skin from the CAG-GFP transgenic line. Time-lapse imaging of skin begun with tissue collected at E6.5 shows a stripe of high cell density along the dorsal midline. Over the following 70 hours, cells rearrange to produce an ordered periodic pattern with the breaking up of this stripe into a row of spots, followed by bilateral additions of pairs of rows of feather primordia (Fig 4C). During this process, extensive changes in cell density and dynamic relocation of cell aggregates are apparent (S1 Video).
To represent cell density across the skin over time in a 2-dimensional form, we plotted GFP signal intensity as a kymograph (Fig 4D). Each frame from the time-lapse series is depicted as a single line, with red indicating high and blue indicating low cell density. This depiction compresses the 2-dimensional information of each original frame into a line that depicts cell density relative to the left-right axis of the original image, with the compression removing anterior-posterior information. The y-axis on the kymograph is produced by stacking these frames to show the progression of cell density over time. This plot shows the initial midline stripe of high cell density, soon followed by the emergence of two broad lateral regions of high cell density between 10 and 25 hours, after which the addition of the first lateral feather primordium rows occurs from 25 hours. Progressive addition of rows is apparent as the emergence of additional vertical red stripes, though ongoing cell depletion from interprimordium intervals leads to a reduction in overall fluorescence for the most mature (i.e., central) rows.
To track general cell motility, we plotted a velocity kymograph (Fig 4E) showing for each pair of frames compressed along their y-axes the change in cell density (i.e., the change in GFP signal intensity) occurring across the time course of imaging, with blue indicating leftward movement and red indicating rightward movement. Thus, meeting points of red and blue, where red is to the left of blue, show the sites of cell accumulation. This plot shows a generalised movement of cells towards the midline at early stages of patterning, even before the first periodic condensates become apparent there. This widespread midline movement is followed by progressively more lateral local clustering at later stages to form the distinct feather rows. We used streamlines calculated from a particle image velocimetry (PIV)-based velocity field averaged over 10 consecutive frames to better represent cell behaviours during specific phases of dorsal tract patterning (Fig 4F), here maintaining the x-axis (left-right) and y-axis (anterior-posterior) of the original skin images. This shows the initial generalised flow of cells towards the midline (time 5:10–6:50), followed by periodic patterning of condensates on the midline (11:50–13:30) and then cell condensation laterally to form the next rows of feather condensates (36:50–38:30).
To assess the extent to which these observations reflect cellular events specifically in the mesenchymal component of the skin, we visualised mesenchymal cells by transplanting somites from the newly developed tdTomato (TPZ) transgenic line (S1 Supporting Methods) into a CAG-GFP host embryo. Four days after somite transplantation, we collected the chimeric skin at day E6.5 for time-lapse imaging (S10A Fig and S10B Fig). In this condition, the somite derivatives, which are entirely mesenchymal in the skin, will on one side of the embryo produce red fluorescent signal, whereas the host cells, including the overlying ectoderm, will be green. Computational analyses of time-lapse imaging of skin explants prepared from host-GFP/mesenchyme graft–tdTomato chimeras show the same cell behaviours as observed in entirely CAG-GFP skin, demonstrating that the key behaviours observed arise from mesenchymal cell dynamics (S10C Fig and S2 Video). Together, these investigations show that the process of dorsal tract patterning involves an initial movement of mesenchymal cells towards the midline, followed by laterally expanding dense dermis and rapid cell density changes to generate a periodic condensate array.
EDA sets the mesenchymal density threshold required for periodic patterning
To assess the functional impact of mesenchymal cell density on feather patterning, we reduced cell density by suppressing proliferation using methotrexate (MTX). This treatment in culture reduced cell density in the dermis (S11 Fig) and limited the area of the feather patterned region, causing it to arrest at five normally spaced rows. This reduction in feather row number occurred without any change in the gene expression waves of CTNNB1 and of EDA, which continued to extend to the normal edge of the presumptive tract (Fig 5A). Thus, the molecular wave propagates independently of either the cell density wave or of feather primordium formation.
We assessed the mesenchymal cell density at which patterning occurs in different EDA signalling regimens by making incisions directly adjacent to the FGF20-defined margin of the patterned region of EDA modulated explants and quantifying the mesenchymal cell density within the first 100 μm lateral to the pattern margin (Fig 5B). Application of soluble EDA, which led to expansion of the patterned region (Fig 3D and Fig 3E), permitted patterning at a lower mesenchymal cell density than normal (at the lateral pattern margins 66 cells/100 μm versus 49 cells/100 μm after 24 hours in culture) (Fig 5C). Conversely, suppression of EDA function permitted patterning after 48 hours in culture only where a density of 98 cells/100 μm was attained (Fig 5D), restricting patterning to a narrow strip at the midline (Fig 3F and Fig 3G). Thus, EDA signalling lowers the mesenchymal cell density at which the dermis becomes permissive to periodic pattern formation.
To test whether EDA signalling sets the critical mesenchymal cell density quorum independently of skin location, we assessed the effects of combined modulation of both cell density and EDA function. As before, suppression of either cell proliferation or of EDA function individually reduced the width of the patterned region of the skin. Combined suppression of cell density and EDA function yielded a still greater reduction of the periodically patterned region (Fig 5E and Fig 5F), showing that a high cell density, rather than any other means of circumventing EDA activity, is required for medial skin patterning in conditions of EDA suppression. Simulations of the patterning process involving a priming wave, representing EDA, and including a mesenchymal cell density gradient show that such behaviour is expected of the network upon suppression of cell density, suppression of EDA, or the enhanced effect of suppressing both (Fig 5G) (see S2 Supporting Methods). Thus, mesenchymal cell density has a defining effect on determining whether periodic patterning occurs or not, with EDA setting the minimum density of mesenchymal cells required to undergo pattern formation.
Continual movement of individual mesenchymal cells occurs in loose and dense dermis prior to and during condensate formation
Having defined a requirement for a mesenchymal quorum in feather patterning and its relationship to EDA, we assessed cell behaviour in dense and loose dermis. We aimed to determine the mode of cell accumulation at condensates and whether differences in cell behaviour might account for the requirement for a minimal mesenchymal density to initiate periodic patterning. To track single cells and quantify their behaviour, we employed embryos of the Chameleon transgenic chicken line. This line carries an array of fluorescent protein encoding genes, one of which is selected for expression upon Cre-mediated recombination at the transgene locus ( and Saunders and colleagues in preparation). We treated cultured Chameleon transgenic skin with a cell-permeable TAT-Cre to sparsely label cells, applying the reagent to the mesenchymal side of the dissected skin. This results in stochastic labelling of scattered cells with different colours (Fig 6A and Fig 6B). Detection of TWIST1/2 (also referred to as Dermo-1), a nuclear marker of mesenchymal cells contributing to pattern formation and dermal condensates, shows Cre-mediated recombination and resulting cytoplasmic fluorescence in this cell population at all levels in the dermis (Fig 6C).
We collected time-lapse confocal images of cells in such sparsely labelled skin during patterning in culture, permitting the tracking of individual cells. We observed that cells in all parts of the skin move, with cells in the epidermis moving in a highly coherent manner, as predicted based on their physical attachment to one another in a sheet (S3 Video, S12A Fig). We analysed cell behaviour by confocal layer, finding that the more superficial layers, which are epithelial, undergo coordinated cell movement, whereas the deeper layers of mesenchyme have cells undergoing random and uncoordinated movement (S12A Fig). However, we detected very little movement upward or downward at any skin depth, with most cells remaining in the same confocal layer throughout and thus moving in parallel with the plane of the epidermis (S12B Fig). The net movement for individual mesenchymal cells over the course of imaging occurs almost entirely towards the midline (S12C Fig).
By measuring individual mesenchymal cell behaviours over the entire time course of imaging, we found that cells in dense and loose dermis move, though somewhat more rapidly in the lateral, loose dermis (Fig 6D and S4 Video). This may result from freer movement of cells where there are fewer cell–cell interactions. Thus, the failure of patterning in loose dermis is not a result of impaired cell movement, nor is it due to an inability to respond to FGF sources, as FGF beads are readily capable of inducing cell aggregation in both dense and loose dermis (Fig 6E). By tracking cells specifically prior to and during the formation of condensates, we observe that before the formation of a new primordium row, cells move medially; but to form the condensates themselves, movement is predominantly along the anterior-posterior axis (Fig 6F). Throughout this process, there is remarkably constant migration speed and straightness (persistence), though the midline-directed cell movement occurring before condensate formation displays the greatest persistence of all classes (S13A and S13B Fig). Individual condensates are thus formed by the FGF-guided accretion of cells that move constantly with approximately the same velocity and persistence.
The skin’s mesenchymal cells display extensive and dynamic projections when they are both outside and within condensates, and this morphology does not differ between low- and high- cell-density mesenchyme (S13C Fig). We used the MacGreen reporter line, which expresses GFP specifically in macrophages under control of CSF1R regulatory elements, to detect macrophages in embryonic chicken skin. These cells are distinct from other mesenchymal cells in size of cell body and characteristics of the projections, confirming that we are not inadvertently tracking this cell population (S13D Fig). Together, this approach shows that in morphology and movement, mesenchymal cells in dense and loose regions display very similar observable behaviours. Thus, the high-cell-density dependence for feather development more likely rests on a need for rapid mesenchymal cell condensation and stabilisation of FGF20 expression than on distinct individual cell phenotypes in dense and loose mesenchyme.
Loss of feather patterning waves in flightless birds
We find that the skin of chicken, duck, ostrich, and emu embryos have pronounced differences in their feather arrangements. The two flighted species, chicken (of which wild ancestors and light domestic breeds can fly, though this ability is lost in some breeds because of increased body weight) and duck, display a highly regular feather arrangement, whereas the two flightless species have a much less regular pattern (Fig 7A). Voronoi tessellation analysis shows that flightless species have a pattern of lower hexagonality than the flighted species (Fig 7B). Whereas the flighted species form their feather pattern through a medial-lateral travelling wave, in the flightless ostrich and emu sequential feather primordium formation is absent (S14 Fig).
Prior to patterning, both flighted and flightless (S14 Fig and S15 Fig) species define the presumptive dorsal tracts, denoted by CTNNB1 and EDA expression, but the flightless species lack the spreading wave of EDA expression during the period of feather patterning. Rather than patterning in a wave, the ostrich embryonic skin undergoes sporadic patterning within the CTNNB1-defined dorsal tract in regions where mesenchymal cells attain a high density (S14A Fig). This ultimately produces a set of tracts that can be mapped onto those present in the chicken anatomy, though with some fusions (S14A Fig and S16 Fig). Indeed, the flighted Chilean tinamou (Nothoprocta perdicaria), a ratite related to ostrich and more closely to emu, has tracts in the same arrangement as chicken, indicating that this arrangement (S17 Fig) is ancestral to all extant birds. In the emu, in contrast, the first signs of feather formation occur late in development, at E17, after loss of CTNNB1 expression from the presumptive tract. These feather primordia appear outside the characteristic tract locations, beginning instead on the flanks (Fig 7C), which are prominent intertract regions in chicken and ostrich. Sequential double in situ hybridisation to detect CTNNB1 and EDA in emu embryos shows the feather primordia forming specifically in EDA-negative skin regions, lateral to the presumptive dorsal tract (S18A Fig).
To assess whether the absence of feather formation in the emu presumptive dorsal tract is of mesenchymal or epithelial origin, we performed reciprocal epidermal-dermal recombinations between chicken and emu embryonic skin. A combination of chicken epidermis with emu dermis did not produce feather primordia. In the reciprocal recombination, however, emu epidermis can undergo rapid primordium formation in conjunction with chicken dermis (Fig 8A). Use of CAG-GFP transgenic chicken skin allowed tracking of the chicken and emu components of the skin composites in sectioned tissue, confirming the emu origin of epidermis undergoing feather formation when combined with chicken tract dermis (Fig 8B). Therefore, the evolutionary loss of emu feather tract patterning in the dorsal skin is a result of a mesenchymal defect, with the emu epidermis being competent to participate in feather development.
To determine the nature of the mesenchymal defect that abolishes tract patterning in emu, we compared the status of the developing dorsal mesenchyme in chicken and emu embryos. TWIST1/2 staining in developing chicken and emu dorsal skin revealed a profound delay in the densification of the dermis in the presumptive emu tract compared to chicken (Fig 8C, Fig 8D and S18B Fig). Quantification of mesenchymal cell density at these stages shows that the population of the dorsal skin with mesenchyme is limited in emu embryos, which develop a dermis displaying a uniformly low mesenchymal cell density when compared to chicken embryos (Fig 8E and Fig 8F). In earlier-stage embryos, cell proliferation was observed in the dermomyotomal lip of both Hamburger Hamilton stage (HH)21 chicken and emu embryos, as determined by immunodetection of phospho-Histone H3 (Ser10) (S18C Fig), suggesting that delayed dermis densification in emu is not due to the lack of production of mesenchymal cell progenitors but rather due to a failure of cell ingression towards the dorsal midline during emu development. These observations suggest that in emu, the failure to develop a sufficient mesenchymal density at the appropriate time in development underlies the failure of tract patterning by desynchronising the cellular and molecular influences required to act coordinately in the generation of a patterned feather array.
Discussion
A number of theoretical mechanisms to explain the spontaneous emergence of periodicity in biological systems have been proposed. The operation of Turing or reaction-diffusion systems based only on intercellular signalling has been supported with several lines of experimental evidence and argument in diverse organs. In mammalian skin, Glover and colleagues provided evidence that a pure reaction-diffusion system, with no reliance on cell movement, normally patterns the primary hair follicles. However, under conditions of altered FGF and BMP signalling, this mechanism can be replaced by a pure mesenchymal cell self-organisation system. Our present work uncovers a distinct process normally operating in avian skin, in which elements of both reaction-diffusion and cell movement–based patterning systems are integrated into a unified periodicity-generating mechanism.
This feather periodic patterning system (Fig 9) relies on epithelial FGF to attract mesenchymal cells to form an aggregate, explaining why the absence of FGF20 in the scaleless mutant leads to a failure of feather primordium formation and demonstrating a defining role for the epidermis in avian skin patterning. The resulting focal clustering of mesenchymal cells reinforces and intensifies epithelial FGF20 expression, likely through a mechanical triggering of epidermal β-catenin activity via local epidermal compression. This form of positive feedback on FGF20 represents an integration point between Turing/reaction-diffusion and mechanical systems in biological pattern formation, a coupling shown in broad terms to yield robust periodic patterning. Aggregation of cells is coupled with production of BMP by the mesenchymal condensate, inhibiting FGF20 production and limiting condensate expansion. Mesenchymal cells move continually, and our observations of this process do not support a suggestion of preferred migration along a sparse lattice of collagen fibres to guide mesenchymal condensation.
This set of interactions is sufficient to break symmetry and produce a periodic pattern only if mesenchymal cells attain a critical density. The requirement for initially weak and ephemeral sources of FGF20 to be sustained and amplified by successful recruitment of mesenchymal cells can explain the cell-density dependence of feather development, without a need for any distinct individual cellular phenotype in dense compared to loose mesenchyme. Such a density effect emerging from a population of cells enacting the same individual behaviours should be seen as distinct from quorum sensing, in which cells sense their collective density and alter their state accordingly. Rather, although we cannot rule out the possible existence of cell phenotypic differences between individual cells in dense and loose mesenchyme, we do not observe such differences, and they may not need to be invoked to understand the transition from loose dermis to a stable array of cell condensates. Events that could be characterised as community effects or quorum sensing may occur later in feather development, however, as development of each condensate progresses and the cells within alter their fate. The formation of condensates in our model is fundamentally determined through biased cell movement in a mesenchymal cell population with a density above a critical threshold. This criticality is a trait shared with another recent model, driven by cell adhesion, that was proposed for chondrogenesis during avian limb patterning.
The extracellular signal EDA serves to trigger periodic patterning by lowering the threshold of mesenchymal density required for condensate formation. This is achieved through induction of a transient stripe of FGF20 production where the advancing EDA wave meets the receding β-catenin/EDAR wave. This initially low FGF20 induction serves to begin mesenchymal cell aggregation along the stripe, initiating the cycle of mesenchymal aggregation, which leads to increased epidermal FGF20 expression and in turn to enhanced mesenchymal attraction. As this process begins, it immediately becomes influenced by the periodic patterning rules defined above and by the effects of the preceding feather primordium row’s inhibition through BMP production and local cell depletion. Together, these influences define the location of condensates in each new row based on the inhibitory template of the previous one, ensuring that the condensates in each new row are placed out of register with the previous row. Repeated iterations of this process produce a hexagonally patterned array, though this may be altered by later growth. Certain aspects of tooth development show parallels to this process of feather formation. In the mouse embryo, the teeth form in sequence along the jaw, similar to the sequential formation of feathers along the midline row. A relationship between the primary row of teeth and successive replacement rows is observed in the fish dentition. However, the ongoing formation of these replacement teeth in fish appears to be regulated locally rather than through general activation of an entire patterning field by morphogens, as we report in the avian skin. The position of successive teeth is thus associated with the position of the preceding tooth and its final placement not entirely dictated by inhibitory influences.
The spatiotemporal role of EDA in defining the zone in which periodic patterning may initiate is distinct from its described role in other vertebrates. Spontaneous mutations in genes encoding EDA pathway components are known in a range of species of mammals, fish, and in a lizard. In each of these species, EDA activity has been shown to be required for hair or scale development but not for patterning in a wave. Thus, in birds, EDA is recast to a spatiotemporal role that it does not appear to play in other vertebrates, to define when and where patterning should occur in a quasi-1-dimensional manner. The loss of an EDA wave in the ostrich embryo leads to approximately 2-dimensional patterning and a reduction in the hexagonal packing of feathers. The correlation between a functional capacity for flight and the anatomical regularity of feather arrangement that we identify suggests that a highly regular feather pattern is of benefit in flight, perhaps related to aerodynamic efficiency or increased bilateral symmetry. In flightless birds, then, relaxed selection on the arrangement of the plumage has led to the loss of the cellular and molecular waves required for such high-fidelity pattern formation. In the emu, the EDA wave’s guidance of patterning is also lost, but the presumptive feather tracts are still defined molecularly by expression of EDA and CTNNB1 (Fig 7C and S14B Fig and S15 Fig). However, a remarkably low mesenchymal cell density in emu occurs because of a lack of dermatome-derived cell movement towards the midline, resulting in failure of tract patterning (Fig 8C, 8D, 8E and 8F and S14B Fig). The late-arising feathers in the emu embryo are smaller than the tract feather primordia of other species, being instead of the same size as the late-forming duck secondary down feathers (S19 Fig), and first emerge well outside the presumptive tracts.
As the flighted tinamou has the same tract layout as chicken, this basic arrangement of tracts is likely to have been present in the last common ancestor of all living birds. Modifications to this specific layout are present in different species, typically related to the width of the tracts, though tract fusion occurs in some species, such as the ostriches reported here. That ostrich and emu have lost the high degree of order of their feather arrangement through different developmental routes agrees with phylogenetic studies indicating that these species have undergone losses of flight independently of one another, rather than from a flightless common ancestor. Thus, either the cellular or the molecular aspects of the feather waves can be altered in the course of evolutionary history, to similar ends.
The structure of the skin, that of a uniform epithelial sheet interacting with underlying mesenchyme of significantly varying cell density, is common to many vertebrate organs. Such epithelial-mesenchymal organs—including the gut, kidney, lung, mammary and salivary glands, and parts of the skeleton during its development—tend to have repeating anatomical units, whether containing discrete elements such as intestinal villi or as a coherent periodic structure such as the epithelial tree of lung or kidney. This composite tissue structure lends itself to either the operation of Turing/reaction-diffusion mechanisms, dominated by relatively stationary epithelial cells, or to cell motility–driven organisation dominated by the mesenchyme. In avian skin, we report a hybrid of these conceptual systems, a reaction-diffusion-taxis mechanism integrated with mechanical processes. These local patterning interactions are triggered within the broad field of the skin by the passing of a travelling EDA wave, imposing the construction of a precise hexagonal lattice of feather primordia.
Ethics statement
All animal work was approved by the Roslin Institute AWERB and the United Kingdom Home Office.
Eggs and incubation
Dekalb White embryos from Henry Stewart & Co (Norfolk, UK) were used unless stated otherwise. Scaleless eggs were obtained from the University of California Davis Meyer Hall Avian Facility, USA, and incubated at the Roslin Institute. Transgenic green fluorescent (CAG-GFP), TPZ, Chameleon, and MacGreen reporter chicken eggs were obtained from the Roslin Institute National Avian Research Facility (NARF); Khaki Campbell/Indian runner duck eggs were obtained from a small supplier. Ostrich (Struthio camelus) and emu (Dromaius novaehollandiae) eggs were supplied by Woodbine Farms (Northamptonshire, UK). Chilean tinamou (N. perdicaria) embryos were provided by the Hancock Wildlife Foundation (Surrey, Canada). Chicken and duck eggs were incubated vertically at 37.8°C with no rotation. Emu and ostrich eggs were incubated horizontally at 36.4°C and rotated 90° periodically until day of extraction. Embryonic developmental stages were scored according to Hamburger and Hamilton for chicken and Hamburger Hamilton equivalent for emu.
Skin explant culture and manipulation of intercellular signalling
Dorsal skin from the base of the skull to tail, comprising the dorsal tract and parts of both left and right femoral tracts, were dissected from embryos of the required developmental stage in PBS and affixed onto nitrocellulose filters (Millipore). For basic culture, explants were submerged in 2 ml of standard medium (DMEM supplemented with 2% FBS and 1% penicillin-streptomycin) or supplemented medium at 37°C, 5% CO2.
Recombinant human FGF9, BMP2, BMP4, BMP7, BMP2/7, and BMP4/7 proteins were from R&D Systems. Recombinant human FGF20 protein was obtained from two commercial suppliers, but both had no significant effects on skin development or on expression of the FGF signalling target gene ETV5 in our hands. Fc-chEDA1, Fc-chEDA2, Ecto-D2, Aprily2, and mAb-EDAR3 were as described. Small molecules used were SU5402 (Sigma-Aldrich), LDN193189 (Stemgent), CHIR99021 (Axon Biochem), Latrunculin A (Sigma-Aldrich), and Methotrexate hydrate (Sigma-Aldrich).
Compressed versus taut skin culture
Skin explants at E6.5 were placed into TRI reagent (Sigma-Aldrich) immediately (as time 0 hour) or cultured for 2 or 4 hours either mounted on a nitrocellulose filter (basic culture method) or free-floating in standard culture medium. Cultured explants were subsequently placed into TRI reagent and processed for qRT-PCR.
Explant compression culture
Rectangular segments (1 mm wide) were excised from triangular nitrocellulose filters (Millipore), leaving a thin strip of filter to connect the two parts. Dissected E6.5 TPZ dorsal skin explants were mounted to these prepared filters with the dorsal midline directly parallel to the excised section of the filter. Skin was placed across the excised gap and cultured for 2 hours under standard conditions to allow for the adherence of the explant to the filter. A cut was then made perpendicular to the excised section of the filter on the “free-floating” side of the culture (explant is untouched by the cut), separating the two parts of the filter. The “free floating” side of the culture was then manually compressed by narrowing the filter-excised gap. Compressed explants were subsequently cultured over a total period of 48 hours under standard culture conditions.
Localised delivery of proteins
Affi-Gel Blue Gel beads (Bio-Rad) were washed twice in PBS for 10 minutes and incubated in either recombinant proteins or an equal concentration of BSA diluted in PBS overnight at 4°C. Beads were transferred to nitrocellulose filters, and dissected dorsal skin explants were mounted, dermis side down onto the beads, to the filter. Explants were then cultured using the standard culture method. For Latrunculin A cotreatments, skin explants were cultured for 2 hours prior to the application of protein-loaded beads.
Time-lapse imaging and PIV analysis
For time-lapse imaging, E6.5 explants prepared from CAG-GFP chicken embryos were mounted onto nitrocellulose filters and cultured skin side down in a 6-well dish containing 2 ml standard or supplemented medium at 37°C, 5% CO2. Real-time imaging was performed using the Zeiss Live Cell Observer/Deconvolution system, imaged every 10 minutes for the duration of the experiment, and analysed using ZenBlue2012 (Zeiss) software.
For the PIV analyses, microscope image frames of skin showing fluorescent (red and green) cells were superposed in one image to achieve higher density. PIV was conducted using MatPIV, implemented in Matlab, with global, local, and signal-to-noise filter. Interrogation areas (32 × 32 pixel size) with 50% overlap were chosen. PIV yields displacement (velocity) fields for every pair of consecutive frames, which were used to derive velocity and angle kymographs as well as streamlines.
Individual cell tracking
Dorsal skin explants were prepared from transgenic Chameleon E6 chicken embryos and placed onto a nitrocellulose filter. TAT-CRE (62.5 units; Millipore) diluted in phenol red–free DMEM (Sigma-Aldrich) to a final volume of 100 μl was delivered under the dermis. Explants were cultured in a 6-well plate containing 500 μl of phenol red–free medium supplemented with 2% FBS and 1% penicillin-streptomycin for 2 hours at 37°C, 5% CO2. Explants were submerged in a total of 2 ml of supplemented phenol red–free medium and cultured for 20 hours. Recombination was confirmed via fluorescence microscopy prior to time-lapse confocal imaging using the Zeiss LSM710 confocal microscope. Images were taken every 15 minutes over a period of 24 hours using the red and green channels. Data were processed using ZenBlue2012 software (Zeiss) followed by cell-tracking analysis (Brownian motion) using IMARIS software.
Automatic cell tracking was performed using Fiji. The cell diameters were estimated for each slice and each signal (green, red) separately. For preprocessing, the images were converted to 8-bit. Salt-and-pepper noise was removed with a median filter (3-pixel kernel). Cell motion analysis was performed for each slice and each signal separately. For each analysis, an image sequence with a spot and track overlay (fast backward tracks and uniform colouring) was saved. Exported files from TrackMate include track and spot statistics. The statistics for the two processed channels of each slice were combined. For time points with missing spots, the positions were interpolated using the mean of the preceding and following time point.
To measure individual cell behaviour specifically in loose dermis or primordium rows before and during condensate formation, manual cell tracking was performed using the Manual Tracking tool in the Fiji distribution version of ImageJ. Maximum-intensity Z-projection of time-lapse images of only the uppermost dermal layer from TAT-Cre-induced Chameleon skin explants were cropped and separated into two regions, loose dermis and primordium row–forming (225-μm-wide blocks). The first row lateral to the primary midline row was designated the row-forming region, whereas loose dermis was the skin region that never experienced condensate formation throughout the imaging period (determined from the Nuclear Blue signal at the end of the time lapse). Three independent skin samples were analysed. Tracking periods were 10 hours before and during primordium formation. Only cells that were tracked for the full duration of each period were included in the analysis.
Epidermal-dermal recombination
Interspecies epidermal-dermal recombinations were performed on HH29-equivalent embryos. Dissected dorsal skins were incubated in 2X magnesium and calcium-free saline containing 0.25% EDTA for 20 minutes at 37°C followed by separation of the epidermal and dermal layers in PBS. The dermis from one species was placed onto a nitrocellulose filter, and the epidermis from the other species was stretched across the dermis and pinned to the filter. Recombinants were cultured in a 6-well plate with 500 μl of standard medium for 2 hours at 37°C, 5% CO2 and then submerged in a total of 2.5 ml of standard medium and cultured for a maximum of 6 days. Medium was replaced every 48 hours.
In ovo embryo injection
Eggs incubated to E5.5 were windowed and intravenously injected with 200 μg of Aprily2 or Ecto-D2 antibody in PBS. For mAb-EDAR3 treatment, 50 μg of the antibody or an equivalent volume of PBS was intravenously injected into windowed E5.5 eggs. PBS (200 μl) containing 1% penicillin/streptomycin was pipetted over the embryo prior to injection. Glass microcapillaries were loaded with antibody and injected directly into either the left or right vitelline vein using the Femto-Jet4i microinjector. Eggs were sealed and reincubated until the desired stage followed by fixation of embryos in 4% paraformaldehyde (PFA) for processing. For analysis of older embryos (≥E11.5), a second round of injection was performed at E7.5.
Tissue processing and paraffin sectioning
Skin explant samples or embryos fixed in 4% PFA were washed in PBS and then dehydrated through an ethanol series, followed by incubation in 1:1 (v/v) ethanol:chloroform. Samples were incubated in chloroform overnight prior to embedding in paraffin blocks. Transverse sections (8 μm) were prepared from both embryo and skin explant samples.
Tissue processing and cryosectioning
Hetero-specific epidermal-dermal recombinant and TAT-Cre-induced Chameleon explants were fixed in 4% PFA, embedded in 15% sucrose/7.5% gelatin in 0.12 M sodium phosphate buffer, and cryosectioned at 20 μm. Gelatin was removed by washing in prewarmed (37°C) PBS. Recombinant sections were stained with DAPI mounted in ProLong Gold antifade reagent (Life Technologies) and imaged with an inverted confocal microscope (Zeiss LSM 710) using ZenBlue2012 software (Zeiss).
Immunodetection
Sections were dewaxed in xylene, rehydrated into water through an ethanol series, and processed for antigen retrieval in the Bio-retriever2000 in either EDTA buffer or citrate buffer. Sections were washed in TBST, incubated in blocking buffer containing 5% goat serum in TBST for 2 hours at room temperature, and then incubated overnight at 4°C in TWIST1/2 antibody (GenTex) at 1/200 or phospho-Histone H3 (Ser10) antibody (Cell Signaling Technology) at 1/200 in blocking buffer. Sections were washed in TBST followed by incubation in biotinylated anti-rabbit secondary antibody (1/200 in blocking buffer) for 1.5 hours at room temperature. Sections were then washed in TBST and incubated at room temperature for 1 hour in HRP-conjugated streptavidin 1/200, followed by another TBST wash. Sections were stained in DAB solution until colour appeared and were washed in water for 20 minutes. DAB-stained sections were lightly counterstained with haematoxylin prior to mounting in hydromount. Images were collected by automated slide scanning (NanoZoomer, Hamamatsu).
For immunofluorescence, after removal of the HRP-conjugated streptavidin, Tryamide signal amplification was performed using TSA kit #26 Alexa fluor 647 (Thermo Fisher) for 10 minutes at room temperature as per manufactures guidelines. Sections were then counterstained with DAPI, mounted in ProLong Gold antifade reagent (Life Technologies), and imaged with an inverted confocal microscope (Zeiss LSM 710) using ZenBlue2012 software (Zeiss).
RNA in situ hybridisation
Cultured skin explants or embryos were fixed overnight in 4% PFA at 4°C, dehydrated through a methanol series, bleached in 5% hydrogen peroxide (H2O2), and then rehydrated into PBS. Samples were treated with 20 μg/ml proteinase K, postfixed in 4% PFA containing 0.2% glutaraldehyde, and hybridised with a digoxigenin (DIG)-labelled riboprobe for single in situ hybridisation or in combination with a 2, 4-dinitrophenyl (DNP)-labelled riboprobe for double in situ hybridisation. Unbound probe was removed via washing prior to DIG-labelled probe detection using 1/1,000 alkaline phosphatase (AP)-conjugated anti-DIG antibody (Roche) followed by signal detection using 5-bromo-4-chloro-3-indolyl phosphate/nitroblue tetrazolium (BCIP/NBT).
For double in situ hybridisation, after the first colour reaction, samples were postfixed in 4% PFA for 30 minutes at room temperature. DNP-labelled riboprobe was detected using 1/1,000 AP-conjugated anti-DNP antibody (Vector) and then coloured using BCIP/2-(4-iodophenyl)-3-(4-nitrophenyl)-5-phenyltetrazolium chloride (INT).
Analysis of sectioned tissue samples
For DAPI-stained samples, 0.71-μm optical slices were taken using an inverted confocal microscope (Zeiss LSM 710) with ZenBlue2012 software (Zeiss). Samples that had undergone in situ hybridisation were imaged with a stereo microscope (Olympus SZX10) using cell^B (Olympus, Tokyo, Japan) software. Images were analysed using Image-Pro Plus software (Media Cybernetics).
For determination of dermal cell density threshold permissive to feather patterning, FGF20 expression was detected in control, Fc-chEDA1-treated, and Ecto-D2-treated skin explants by in situ hybridisation. An incision was made on each explant at the margin of the FGF20-expressing regions of the dorsal tract using a razor blade. Samples were processed for paraffin sectioning, and sections were dewaxed in xylene followed by rehydration through an ethanol series into water. Sections were stained with DAPI and mounted in ProLong Gold antifade reagent (Life Technologies). Dermal cells were quantified from the skin regions immediately adjacent to the cut site in the FGF20-negative region (site of next presumptive primordium row). All dermal cells within the first 100 μm from the cut were counted from every sample and averaged.
For dermal cell density quantification, all sections analysed were taken from the posterior dorsal region of the embryo, between the femoral tracts. Sections were dewaxed and rehydrated followed by DAPI staining and mounted in ProLong Gold antifade reagent. Dorsal tracts were partitioned into 100 × 41-μm blocks for sections from whole embryos or 100-μm sections for skin explant sections across the entire presumptive tract, below the epidermis and beginning from the dorsal midline. Dermal cell numbers were quantified for each block across the entire dorsal tract for individual samples and then averaged across each treatment group/embryonic stage.
Pattern analyses
Measurements of the width of the patterning region were performed on cultured skin explants or whole-mount embryos that were subjected to in situ hybridisation for FGF20 detection. The pattern-generating region of the dorsal tract on the explants was defined by FGF20 expression. Three measurements of the width of the FGF20 pattern were made for each skin and averaged, with a minimum of three skins per treatment.
For pattern fidelity analysis, explant or whole-mount samples processed for CTNNB1 detection through in situ hybridisation were imaged. Primordia from the dorsal tracts were outlined and given a binary mask, for which a 1 indicated the location of the primordium and a 0 indicated the interprimordium region (see Fig 2C). The centroid of each primordium was then extracted, and a Voronoi diagram was constructed from the point cloud data. The Voronoi diagram partitions the plane into regions based on the distance to the primordium centroids. Specifically, a primordium’s defined region consists of all spatial points closer to its centroid than to any other. These regions are called Voronoi cells. The Voronoi diagram has the property that the boundary cells are anomalous, with infinite (or exceedingly large) area. In order to remove such artefacts, we removed the most external primordium centroids from consideration within the data until the area of all Voronoi cells was less than three standard deviations from the mean. In practice, this eliminated only the anomalous cells. Once the appropriate cells had been chosen, statistics were autonomously extracted regarding the number of nearest neighbours of each primordium (Fig 2D, Fig 7B, S17B Fig). Specifically, if the primordia were perfectly aligned on a (nonsquare) grid, each placode would have six neighbours (and four neighbours in the singular case of a square grid). Thus, the spread and range away from six neighbours illustrates the variability in the pattern fidelity. Namely, a higher percentage of primordia with six neighbours implies a more regular placode pattern.
Visualisation of tinamou feather arrangement
E14 tinamou and chicken embryos were fixed in 4% PFA. Embryos were washed in PBS, and all feather filaments were cut off manually using fine scissors. Embryos were submerged in haematoxylin for 30 seconds, followed by PBS washes, and imaged with a stereo microscope (Olympus SZX10) using cell^B (Olympus, Tokyo, Japan).
qRT-PCR
Total RNA was isolated using TRI reagent and reverse transcribed using random hexamers and Superscript III Reverse Transcriptase (Invitrogen) in a final volume of 20 μl. cDNA was diluted 10-fold, 3 μl of which was used as template for each qRT-PCR. qRT-PCRs were performed using SYBR Green Universal Master Mix (Roche) in a final volume of 20 μl, and each was performed in triplicate, with a minimum of three biological repeats. A dilution standard curve was used to determine the relative expression levels.
Primer Sequences:
AXIN2 F: 5′-GCCGACTTCAAAAGCAAAAT-3′
AXIN2 R: 5′-GTAGGGGTTAACGGGATCGT-3′
BMP2 F: 5′-CCAACACCGTGTGCAGCTTCCA-3′
BMP2 R: 5′-GAAACGTCGTGCTGTTTTCCCAC-3′
BMP4 F: 5′-TGAGGAGCTTCCACCATGA-3′
BMP4 R: 5′-TGCTGAGGTTGAAGACGAAG-3′
BMP7 F: 5′-CGAACGCTTCGATAATGAAA-3′
BMP7 R: 5′-TTCTGGAGTCGAGCAGGAAC-3′
EDA F: 5′-TGGTCTCGCATCACTATGAAC-3′
EDA R: 5′-AATACTCCGAGTGCATTGCAG-3′
EDAR F: 5′-TTCTTTCGAGCCACTGTCCT-3′
EDAR R: 5′-CGAGGTCTGTTTTCCAGCAT-3′
ETV5 F: 5′-AGGCCTGGCTAGCTGAAGCTCA-3′
ETV5 R: 5′-ATCTTGGCTGGAGGTGGGGCAT-3′
FGF20 F: 5′-GCCAAGACCACAGCCTCTT-3′
FGF20 R: 5′-TTCCAAGGTAAAGGCCACTG-3′
GAPDH F: 5′-GACAACTTTGGCATTGTGGA-3′
GAPDH R: 5′-GGCTGTGATGGCATGGAC-3′
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