Intricate color patterns are a defining aspect of morphological diversity in the Felidae. We applied morphological and single-cell gene expression analysis to fetal skin of domestic cats to identify when, where, and how, during fetal development, felid color patterns are established. Early in development, we identify stripe-like alterations in epidermal thickness preceded by a gene expression pre-pattern. The secreted Wnt inhibitor encoded by Dickkopf 4 plays a central role in this process, and is mutated in cats with the Ticked pattern type. Our results bring molecular understanding to how the leopard got its spots, suggest that similar mechanisms underlie periodic color pattern and periodic hair follicle spacing, and identify targets for diverse pattern variation in other mammals.
Understanding the basis of the animal color pattern is a question of longstanding interest for developmental and evolutionary biology. In mammals, markings such as cheetah spots and tiger stripes helped motivate theoretical models, such as the Turing reaction−diffusion mechanism, that have the potential to explain how periodic and stable differences in gene expression and form might arise from a uniform field of identical cells1,2,3,4. Reaction−diffusion and other mechanisms to account for periodic morphological structures have been implicated in diverse developmental processes in laboratory animals5,6,7,8,9,10,11,12, but much less is known about mammalian color patterns, largely because the most prominent examples occur in natural populations of wild equids and felids that are not suitable for genetic or experimental investigation.
In fish, color patterns involve direct interactions between pigment cells that are often dynamic, allowing additional pattern elements to appear during growth or regeneration13,14,15. By contrast, in mammalian skin and hair, melanocytes are uniformly distributed during development, and the amount and type of melanin produced are controlled later by paracrine signaling molecules within individual hair follicles16,17,18. Additionally, pattern element identity of an individual hair follicle, e.g., as giving rise to light- or dark-colored hair, is maintained throughout hair cycling and cell division, so that individual spots or stripes of hair apparent at birth enlarge proportionally during postnatal growth. Thus, periodic mammalian color patterns may be conceptualized as arising from a three-stage process: (1) establishment of pattern element identity during fetal development; (2) implementation of pattern morphology by paracrine signaling molecules produced within individual hair follicles; and (3) maintenance of pattern element identity during hair cycling and organismal growth17,19.
Domestic cats are a useful model to study color patterns due to their accessibility, the genetic and genomic infrastructure, the opportunity for genomic and histological studies of tissue samples, and the diversity of pattern types19,20,21. The archetypal tabby pattern—regularly spaced dark markings on an otherwise light background—varies considerably in both form and color, and many of those varieties are similar to some wild felid species. In previous studies of domestic cats, we showed that Endothelin 3 is expressed at the base of hair follicles in tabby markings, causes a darkening of the overlying hairs by increasing the production of black−brown eumelanin relative to red−yellow pheomelanin, and therefore plays a key role in the implementation of tabby pattern17. However, tabby markings are apparent in developing hair follicles17, indicating that the establishment of the color patterns must occur at or before hair follicle development.
Here, we apply single-cell gene expression analysis to fetal cat skin to investigate the developmental, molecular, and genomic basis of pattern establishment. We uncover an aspect of epidermal development that signifies the establishment of pattern element identity and characterize signaling molecules and pathways associated with pattern establishment. We show that one of those signaling molecules encoded by Dickkopf 4 (Dkk4) underlies a naturally occurring mutation that affects tabby patterns and plays a key role in the patterning process. Our work provides fundamental insight into the mechanisms of color pattern establishment as well as a platform for exploring the biology of periodic patterns more broadly.
Patterns of epidermal morphology in developing cat skin
Trap-neuter-release programs have become a popular means of controlling feral cat overpopulation22. During the breeding season, approximately half of all female feral cats are pregnant, and tissue from non-viable embryos can be recovered during spaying without compromising animal health or interfering with efforts to control feral cat overpopulation. We collected more than two hundred prenatal litters from feral cat, spay-neuter clinics across a range of developmental stages classified according to previous work on cats23 and laboratory mice24 (Supplementary Table 1).
Histochemical and morphometric analysis revealed an aspect of epidermal development that has not been previously described. At stage 13 (analogous to mouse embryonic day 11, E11), fetal skin is comprised of a uniform monolayer of epithelial cells that covers a pauci-cellular dermis (Fig. 1a). Approximately 16 days later at stage 16 (analogous to mouse E15), before epidermal differentiation and hair follicle morphogenesis, we noticed that the epidermis is organized into alternating regions that are either “thick” or “thin” (Fig. 1a, stage 16). Characterization of keratin expression and cell proliferation indicates that the thick and thin regions are fundamentally different from epidermal stratification that normally occurs later in development (Fig. 1b, c and Supplementary Table 2).
By stage 22 (analogous to postnatal day 4–6 in laboratory mice), well-developed hair follicles are present that can be categorized according to the type of melanin produced (Fig. 1a), and that gives rise to the tabby pattern: dark markings contain mostly eumelanin, while the light areas contain mostly pheomelanin.
To investigate if epidermal thickening at stage 16 might be related to tabby patterns that appear later, we made use of natural genetic variation in Transmembrane aminopeptidase Q, (Taqpep). We showed previously that loss-of-function mutations in Taqpep cause the ancestral pattern of dark narrow stripes (TaM/−, Mackerel) to expand into less well-organized large whorls (Tab/Tab, Blotched) (Fig. 1d)17. Tab alleles are common in most feral cat populations25, and we asked if the topology of stage 16 epidermal thickening is influenced by Taqpep genotype. Two-dimensional maps assembled from 100 μM serial sections of embryos of different genotypes reveal that thick epidermal regions from TaM/TaM embryos are organized into vertically oriented columns (black bars, Fig. 1d) separated by larger thin epidermal regions (yellow bars, Fig. 1d). By contrast, in Tab/Tab embryos, the thick epidermal regions in the flank are broadened. A similar observation applies to epidermal topology and tabby patterns in the dorsal neck (Fig. 1d and Supplementary Fig. 1). Thus, embryonic epidermal topologies resemble tabby patterns in adult animals of the corresponding genotype, providing a morphologic signature of color pattern establishment before melanocytes enter the epidermis and before the development of hair follicles. As described below, an associated molecular signature further refines the process to a 4-day window that spans stages 15 and 16, and delineates developmental substages (Supplementary Table 1) that track color pattern establishment more precisely.
Single-cell gene expression analysis of developing fetal skin
We hypothesized that the alternating thick and thin regions in fetal epidermis might arise from an earlier molecular pre-pattern. To explore this idea, we dissociated fetal cat skin, enriched for basal keratinocytes, and generated single-cell 3′ RNAseq (scRNAseq, 10x Genomics) libraries.
Among libraries that we sequenced and analyzed, three were from developmental stages (15a, 15b, 16a, Supplementary Table 1) occurring prior to or during the appearance of epidermal thickening. Uniform Manifold Approximation and Projection (UMAP) dimensionality reduction26 delineates different fetal skin cell populations as distinct cell groups (Fig. 2a and Supplementary Fig. 2), although basal keratinocytes (after enrichment, “Methods”), identified by expression27 of Krt5, Tp63, and Kremen228, are a major cell type at all three stages (Supplementary Fig. 2 and Supplementary Table 4).
We used unsupervised k-means clustering to distinguish different cell types at stage 16a (Fig. 2a, Supplementary Table 3, and Supplementary Fig. 2). At k = 7, those clusters correspond to myoblasts, neural crest, dendritic cells, endothelium, dermal fibroblasts, and two types of keratinocytes, a predominant basal population distinguished by high levels of Krt5 expression, and a smaller population expressing non-basal markers, including Keratinocyte Differentiation Associated Protein, Rhov, and Beta-defensin 1. At k = 8, vascular endothelium can be distinguished from lymphatic endothelium.
At k = 9, the basal keratinocytes cluster into two subpopulations based on differential expression of 277 genes (FDR < 0.05, expression >0.25 transcripts/cell), including the secreted inhibitors of Wnt signaling encoded by Dickkopf 4 (Dkk4, p = 6.50e−46, negative binomial exact test) and Wingless Inhibitory Factor 1 (Wif1, p = 5.81e–50, negative binomial exact test) (Supplementary Data 1). Dkk4 and Wif1 exhibit a similar extent of differential expression, 18-fold, and 28-fold, respectively, but in the cells in which those genes are upregulated, the absolute levels of Dkk4 are much higher than that of Wif1 (36 transcripts per cell compared to 2.2 transcripts per cell, Supplementary Data 1). At k = 10, the different UMAP clusters for epithelial cells resolve into distinct populations (Supplementary Fig. 2), but the Dkk4-positive (blue) and Dkk4-negative cells (green) are not further subdivided.
Unsupervised clustering did not resolve different populations of basal keratinocytes at earlier stages, but a supervised approach based on differential expression of Dkk4 (upper and middle panels, Fig. 2b, “Methods”) indicates that the same population apparent at stage 16a can also be recognized at stage 15a and 15b. As with stage 16a, the absolute levels of Dkk4 expression are the highest of the differentially expressed genes, 22.3 and 99.2 transcripts per cell at stages 15a and 15b, respectively (Supplementary Data 1).
These observations on Dkk4 in the scRNAseq data were confirmed and extended by in situ hybridization to fetal skin sections, and reveal that Dkk4 is expressed in alternating subsets of basal keratinocytes at stage 15b, eventually marking the thick epidermal regions that are histologically apparent by stage 16a (Fig. 2c). Between stages 16a and 17, the average size of the Dkk4 expression domain becomes gradually smaller until it is only apparent in epidermal cells comprising the developing hair germ (Supplementary Fig. 3a, b).
As with the topology of epidermal thickening, we assessed the effect of Taqpep genotype on the pattern of Dkk4 expression at stage 16 and observed a similar outcome: regions of Dkk4 expression are fewer and broadened in Tab/Tab embryos compared to TaM/TaM embryos (Fig. 2d). Qualitatively, the effect is strikingly apparent from whole-mount in situ hybridization (Fig. 2e and Supplementary Fig. 3c). These embryonic expression differences foreshadow the difference in adult color patterns between TaM/− and Tab/Tab animals. Thus, the expression of Dkk4 represents a dynamic molecular pre-pattern in developing skin that precedes and is coupled to the topology of epidermal thickening.
Dynamic changes in Wnt signaling during color pattern establishment
Additional insight into the developmental mechanisms that underlie the differentiation of basal keratinocytes into Dkk4-positive and Dkk4-negative cells are apparent from patterns of gene expression that distinguish the two populations. Considering stages 15a, 15b, and 16a together, hierarchical clustering of 508 differentially expressed genes (FDR q-value < 0.05) highlights groups of genes according to whether they are highly upregulated (cluster A), moderately upregulated (cluster B), or downregulated (cluster C) in Dkk4-positive compared to Dkk4-negative cells (Fig. 3a). Among the 287 genes that are highly or moderately upregulated, gene ontology enrichment analysis29 pathways involved in basal cell carcinoma, axon guidance, Wnt signaling, and mTor signaling are the most significant (Fig. 3b). An alternative analysis of differential gene expression with less stringent filtering criteria (expression level change > two-fold) identifies 928, 761, and 606 genes at stages 15a, 15b, and 16a, respectively, of which 121 upregulated and 63 downregulated genes are in common across all stages, and also highlights components of Wnt signaling (Supplementary Fig. 4a–c).
Expression levels for individual Wnt pathway genes at each stage are depicted in Fig. 3c30,31 and reveal that both inhibitors (Dkk4, Wif1, Dkk3) and activators (Lrp4, Wnt5a, Atp6v1c2, Lef1, Wnt10b, Lgr6, Fzd10, and Ctnnb1) of Wnt signaling are upregulated in Dkk4-positive compared to Dkk4-negative cells. Notably, however, the activators encode proteins that are either not secreted (Lrp4, Atp6v1c2, Lef1, Lgr6, Fzd10, and Ctnnb1) or have a very short radius of action (Wnt5a, Wnt10b) while the inhibitors encode secreted proteins with a wider radius of action12. These observations suggest a reaction-diffusion model for the establishment of color patterns in which Wnt10b and Wnt5a serve as short-range activators, and Dkk4, Dkk3, and Wif1 serve as long-range inhibitors (Fig. 3d).
Direct evidence of Wnt activation in Dkk4-positive cells is apparent from comparing the patterns of Ctnnb1 (β-catenin) expression and cellular localization in thick (Dkk4-positive) and thin (Dkk4-negative) regions of fetal epidermis at stage 16a (Fig. 4a). In thin regions of the epidermis, Ctnnb1 immunostaining is confined mostly to the cell membrane, but in thick regions, ~80% of the basal keratinocyte nuclei exhibit cytoplasmic and/or nuclear β-catenin immunostaining. In addition, expression of Edar, a direct target of Wnt signaling during skin development in mice32, is increased in sections of thick compared to thin areas of stage 16a epidermis (Fig. 4b) and exhibits a pattern of expression in whole-mount staining that is similar to that of Dkk4 (Fig. 2e).
In laboratory mice, a Wnt-Dkk reaction−diffusion system has been suggested previously to underlie periodic hair follicle spacing, based on the patterns of gene expression and gain-of-function transgenic experiments12,33. In fetal cat skin, epidermal expression domains of Dkk4 are much broader and appear earlier than those associated with hair follicle placode spacing (Supplementary Fig. 3a, b), although by stage 17, expression of Dkk4 in cats is similar to the expression of Dkk4 in mice.
We compared genes that were differentially expressed in basal keratinocyte subpopulations during color pattern establishment in cats with those that are differentially expressed between hair follicle placodes and interfollicular epidermis in mice, based on a previously established 262 gene signature for primary hair follicle placodes30. Of the 121 genes that we identified as a signature for color pattern establishment in Dkk4-positive basal keratinocytes, 26 (21.5%) were shared with the primary hair follicle placode signature (Supplementary Data 1). Thus, the gene expression pre-pattern for color pattern establishment occurs prior to and foreshadows an overlapping pattern in hair follicle placodes.
A Dkk4 mutation in domestic cats
The mackerel stripe pattern represents the ancestral state; in addition to the blotched pattern caused by Taqpep mutations (Fig. 1d), several additional pattern types are recognized in domestic cats for which the genetic basis is uncertain. For example, periodic dark spots as seen in the Egyptian Mau or Ocicat breeds (Fig. 5a) are only observed in TaM/− animals19,34, but the genetic basis of Mackerel vs. Spotting is not known. Another locus, Ticked, named for its ability to prevent dark tabby markings and thereby showcase hair banding patterns across the entire body surface, has been selected for in breeds with a uniform appearance such as the Abyssinian, Burmese, or Singapura (Fig. 5a)35. However, Ticked is also thought to be responsible for the so-called “servaline” pattern of spotted Savannah cats (Fig. 6a), in which large dark spots are reduced in size and increased in number. Ticked was originally thought to be part of an allelic series that included TaM and Tab 36, but was subsequently mapped to an independent locus on chrB1, and recognized as a semidominant derivative allele, TiA, which obscures tabby markings except on the legs and the tail when heterozygous, and eliminates tabby markings when homozygous19,37.
Ticked maps to a region of low recombination close to the centromere, and has therefore been difficult to identify by linkage analysis. Furthermore, we observed that some cats thought to be homozygous for Ticked, including Cinnamon, the source of the feline reference sequence, carried two haplotypes across the linkage region, suggesting the existence of multiple TiA mutations. We hypothesized that one or more of the genes that was differentially expressed between basal keratinocyte subpopulations might represent Ticked, and asked whether any differentially expressed gene satisfied two additional criteria: (1) a genetic map position close to or coincident with Ticked; and (2) carries a deleterious variant found at high frequency in breeds with a Ticked phenotype. Of the 602 differentially expressed genes at stage 16a (FDR q-value < 0.05, Supplementary Data 1), four are located in a relatively small domain, ~230 kb, that overlaps the Ticked linkage interval (Fig. 5b). One of these genes, Dkk4, exhibits a pattern of variation and association consistent with genetic identity as Ticked.
We surveyed the 99 Lives collection of domestic cat whole-genome sequence data38, and identified two nonsynonymous variants in Dkk4, p.Ala18Val (felCat9 chrB1:42620835c>t) and p.Cys63Tyr (felCat9 chrB1:42621481g>a), at highly conserved positions (Supplementary Fig. 5 and Supplementary Table 5) that were present only in breeds with obscured tabby markings (Abyssinian, n = 4; Burmese, n = 5; Siamese n = 1). The p.Ala18Val variant is predicted to impair signal peptide cleavage, which normally occurs between residues 18 and 19, and the p.Cys63Tyr variant is predicted to disrupt disulfide bonding in a cysteine knot structure referred to as CRD139 (Fig. 5c and Supplementary Fig. 5). These are the only coding alterations predicted to be deleterious in any of the four genes that are differentially expressed in basal keratinocyte subpopulations (Supplementary Table 5) and are therefore strong candidates for Ticked.
We evaluated the impact of the p.Ala18Val and p.Cys63Tyr variants on Dkk4 production and secretion by expressing epitope-tagged normal and variant proteins in heterologous cells, and compared the amount of protein retained in cells and secreted into media after 48 h. As depicted in Fig. 5d and relative to non-mutant protein almost none of the p.Ala18Val variants is secreted, and secretion of the p.Cys63Tyr variant is reduced ~60%; reciprocal results are apparent in the extent of Dkk4 intracellular retention.
Association analysis of additional DNA samples across breeds (n = 105) and within breeds (n = 238) (Table 1) provides further support that variation in Dkk4 causes Ticked (Table 1 and Supplementary Table 6, “Methods”). All breed cats in which Ticked is required (Abyssinian, Singapura) carried the p.Ala18Val or p.Cys63Tyr Dkk4 variants, the vast majority as homozygotes or compound heterozygotes. By contrast, in breeds in which tabby markings are required (Egyptian Mau, Ocicat, Bengal), none carried a derivative Dkk4 allele. Lastly, in some breeds (Oriental Longhair, Oriental Shorthair) and in non-breed cats, either Ticked or non-Ticked phenotypes are observed, and are perfectly correlated with the presence or absence of the p.Ala18Val Dkk4 variant.
Haplotype analysis indicates that the p.Ala18Val and p.Cys63Tyr variants occurred on common and rare haplotypes, respectively, and like the linkage interval, are relatively long, 6.08 and 8.95 Mb, respectively (Fig. 5b and Supplementary Fig. 6a). We identified several small pedigrees where one or both of the Dkk4 variants are present (Fig. 6a and Supplementary Fig. 6b, c), and observed segregation patterns consistent with the genetic identity of Dkk4 as Ticked. A pedigree of Savannah cats in which the servaline phenotype cosegregates with the p.Ala18Val variant is of particular interest (Fig. 6a): rather than an apparent suppression of tabby markings as in the Abyssinian and Burmese breeds, Ticked alters the number and size of tabby markings.
Unlike Taqpep, variation for Ticked in California feral cat populations is rare (Supplementary Table 6); however, one of our fetal skin samples was heterozygous for the p.Ala18Val variant, enabling us to examine the effect of Dkk4 on its own expression. As depicted in Fig. 6b, whole-mount in situ hybridization of a Dkk4 probe to fetal skin of Ti+/+ and Ti+/A18V individuals yields patterns that are remarkably similar to the adult Savannah and servaline color markings, respectively. Taken together, these results confirm that the effect of Ticked is not to mask dark tabby markings (as it appears to do in the Abyssinian and Burmese breeds) but to affect pattern establishment such that the regions that express Dkk4 in fetal keratinocytes, and the eventual adult markings, become smaller and more numerous.
Key elements of reaction−diffusion models as applied to biological patterns are the existence of diffusible signaling molecules that interact with one another to achieve short-range activation and long-range inhibition40. Our work identifies molecular candidates for this process in the establishment of tabby patterns, suggests that similar mechanisms underlie periodic color patterning and periodic hair follicle spacing, and provides a genomic framework to explore natural selection for diverse pattern types in wild felids.
The development of tabby patterns is different and arguably simpler than developmental systems that involve extensive cell movement or cytoplasmic protrusions, as in zebrafish13,15,41. Additionally, the establishment of tabby patterns is completely and remarkably uncoupled from the implementation events that follow days and weeks later. In particular, epidermal expression of Dkk4 is dynamic, marking areas of fetal skin that give rise to hair follicles that later produce dark pigment throughout successive hair cycles. This implies that Dkk4-expressing keratinocytes acquire time-sensitive epigenetic changes that are later incorporated into hair follicles, and that ultimately determine whether the underlying dermal papilla releases paracrine agents that darken or lighten the hair.
The molecular and the morphologic signatures of tabby pattern establishment recede by stage 17 as hair follicle placodes start to form. Nonetheless, the two processes share important features. A Wnt-Dkk reaction−diffusion system has been proposed to underlie hair follicle spacing12, and similarity between the transcriptional profiles described here and those in hair follicle placodes30 suggests the two processes could be mediated by similar mechanisms. Previous work on hair follicle spacing involved a gain-of-function perturbation in which overexpression of Dkk2 in incipient hair follicles caused both a reduced number and a clustered distribution of follicles12. Our work on Dkk4 mutations yields reciprocal results: the p.Ala18Val and p.Cys63Tyr alleles are loss-of-function and, in servaline cats, are associated with both an increased number and reduced size of dark spots.
In domestic cats, the servaline phenotype is one of several examples demonstrating that the effect of Dkk4 depends on genetic background and genetic interactions. In addition, the different appearance of the Abyssinian and Burmese breeds and the interaction of the Ticked (Dkk4) and Tabby (Taqpep) genes19,42 further support his notion. In the Abyssinian breed, Ticked is selected for its ability to draw attention to prominent hair banding patterns. By contrast, in the Burmese breed, individual hairs are not banded due to a loss-of-function Agouti allele43, and Ticked has been selected for its ability to suppress tabby markings. Stated differently, Dkk4 is epistatic to Taqpep, such that the distinction between a Blotched and Mackerel phenotype can only be visualized in a non-Ticked background. 17Taqpep encodes an aminopeptidase whose physiologic substrates have not been identified44 and as shown here (Supplementary Data 1), Taqpep is expressed in developing skin17. These observations are consistent with a model in which Taqpep-dependent cleavage restricts the range and/or activity of Dkk4, representing a previously unknown mechanism for modifying Wnt signaling.
Variation in Taqpep is associated with pattern diversity in the cheetah as well as in the domestic cats17, and the same may be true for Dkk4. In fact, the servaline pattern was first described in 1839 as characteristic of a new species, Felis servalina, but was later recognized as a rare morph of the Serval45. We examined Dkk4 predicted amino acid sequences for 29 felid species including the Serval, and identified a number of derived variants (Supplementary Fig. 7). Although none of the derived variants represents an obvious loss-of-function, several are predicted to be moderately deleterious (Supplementary Table 7), and a more comprehensive survey of Dkk4 variation in Servals could reveal additional mutations that explain the spotting pattern of Felis servalina.
More broadly, genetic components of the molecular signature we identified for the color pattern establishment are potential substrates for natural selection and evolution of pattern diversity in wild felids and other mammals46. For example, complex patterns such as rosettes in the jaguar or complex spots in the ocelot may represent successive waves of a Wnt-Dkk system, similar to what has been proposed for hair follicle spacing12. Although the action of Dkk4 in domestic cats appears limited to the color pattern, subtle pleiotropic effects of Dkk4 inactivation that reduce fitness may not be apparent. If so, regulatory variation in candidate genes identified here may be substrates for diversifying selection during felid evolution.
Our work exemplifies the potential of companion animal studies to reveal basic insight into developmental biology, and builds on a history in model organisms such as laboratory mice, in which coat color variation has been a fruitful platform for studying gene action and interaction. The Ticked, Tabby, and Blotched phenotypes represent a fraction of the pattern diversity that exists among domestic cat breeds and interspecific hybrids, which remain a continued resource to explore how spots and stripes form in nature.
Otherwise discarded embryonic cat tissues were recovered from incidentally pregnant feral cats at spay-neuter clinics in California after the spaying surgery. Tissues were processed within 18 h of the spaying procedure and embryos were staged based on the crown-rump length and anatomic development (Supplementary Table 1)23. Genomic DNA for genetic association studies was collected with buccal swabs (Cyto-Pak, Medical Packaging Corporation) at cat shows with permission of the owner or by mail submission from breeders. All animal work was conducted in accordance with relevant ethical regulations under a protocol approved by the Stanford Administrative Panel on Laboratory Animal Care (protocol APLAC-9722).
Genomic DNA was extracted from buccal swabs or tissues using a QIAamp DNA kit (Qiagen). Genotyping for Taqpep p.Trp841X or Dkk4 p.Ala18Val and p.Cys63Tyr is based on Sanger sequencing of PCR amplicons (Supplementary Table 8).
Embryonic staging and characterization of epidermal morphology
Previous work has classified the domestic cat’s 63-day gestation into 22 developmental stages23. Supplementary Table 1 depicts the criteria we used for staging, including size (crown-rump length) and visible morphological features such as digit formation and eyelid morphogenesis. Additional features described here, including the acquisition of epidermal thickening, immunohistochemistry for Krt10, and expression of Dkk4 as assessed by in situ hybridization, were used to refine stages 15 and 16 into substages. Stage 15b is distinguished from 15a by the expression of Dkk4. (We note that stage 15a scRNAseq identifies a small number of cells that express Dkk4, but that are not detectable by in situ hybridization (Fig. 2b, c).) In the skin, stage 16a is distinguished from 15b by the appearance of epidermal thickening (and expression of Dkk4 in the thickened regions). Stage 16b is distinguished from 16a by the appearance of some Krt10-positive cells in thick regions.
At stages 16a and 16b, thick regions have 3–5 layers of monomorphous, basaloid cells, whereas thin regions have 1–2 cell layers. Several observations indicate that the thick and thin regions are fundamentally different from epidermal stratification that normally occurs later in development: (1) suprabasal keratinocytes in both regions express a keratin, Krt5, that is normally limited to basal keratinocytes27; (2) cell proliferation as indicated by the expression of Ki-67 occurs in all epidermal layers rather than being limited to basal keratinocytes; and (3) Krt10, which is normally distributed uniformly in suprabasal keratinocytes at stage 18 and beyond (Fig. 1c), exhibits an unusual pattern of expression in thick regions towards the end of stage 16 (Fig. 1b, c and Supplementary Table 1).
Stage 17 is distinguished from stage 16b by fetal size, eyelid closure, and the initiation of hair follicle development (Supplementary Table 1). In addition, between stages 15b and 17, the size of the Dkk4+ expression domain becomes smaller and is eventually restricted to the hair bud (Supplementary Fig. 3). Changes in epidermal morphology and expression of Dkk4 in stages 15 and 16a are not observed at the corresponding stages in laboratory mice. Morphological differences among these previously unknown aspects of cat epidermal development at stages 15 and 16, and normal hair follicle development and epidermal stratification that occurs later in other mammals (including the cat) are summarized in Supplementary Table 2.
We assessed the effect of Taqpep genotype on epidermal topology by morphometric reconstruction from serial sections from the flank (Fig. 1d, three maps from each genotype) and the dorsal neck (Supplementary Fig. 1, one map from each genotype) of TaM/− and Tab/Tab embryos. The orientation of tabby stripes with respect to the body axis differs between the flank and the neck, but in both cases, the patterns of fetal epidermal topology and their response to variation in Taqpep genotype correspond to stereotypic postnatal color patterns. Specifically, in fetal skin from the flank, thick epidermal regions are organized into columns that are perpendicular to the body axis (black bars, Fig. 1d); in fetal skin from the dorsal neck, thick epidermal regions lie in narrow, vertical columns that are parallel to the body axis (black bars, Supplementary Fig. 1). In both cases, the thick regions are expanded in Tab/Tab embryos.
Histology and immunofluorescence
Embryonic cat tissues were fixed in 4% paraformaldehyde (Electron Microscopy Sciences). 5 μM paraffin-embedded sections were mounted on Superfrost Plus glass slides (Fisher Scientific, Pittsburgh, PA) and stained with hematoxylin and eosin. Immunofluorescence for Krt5 (Biolegend 905501, 1:15000), Krt10 (Abcam ab76318, 1:15000), Ki67 (Abcam ab15580, 1:15000), and β-catenin (BD Biosciences 610154, 1:5000) was carried out on 5 μM sections after antigen retrieval using 0.01 M citrate buffer, pH 6 in a pressure cooker. Krt5-stained sections were incubated with goat anti-rabbit Alexa488 antisera (Jackson ImmunoResearch Laboratories 111-545-144, 1:400). Krt10 and Ki67 stained sections were incubated with goat anti-rabbit biotinylated antisera (Jackson ImmunoResearch Laboratories 111-065-144, 1:5000), and β-catenin stained sections were incubated with goat anti-mouse biotinylated antisera (Jackson ImmunoResearch Laboratories 111-065-166, 1:1000), followed by Vectastain Elite Avidin-Biotin complex reagent (Vector Labs), and Tyramide-Cy3 amplification reagent (PerkinElmer). Sections were stained with ProLong antifade reagent with DAPI (Invitrogen). Images were captured on a Leica DMRXA2 system with DFC550 camera and LASV4 (v.4.2.0) software. All photomicrographs are representative of at least three animals at each developmental time point or genotype, except for Dkk4 expression in the Dkk4 mutant background; only a single p.Ala18Val embryo was recovered, and observations were made on multiple skin fragments from two body regions (Fig. 6b). Precise genotypes are provided in the text and figures, except in instances where TaM/TaM and TaM/Tab embryos were used together, which are designated as TaM/−.
In situ hybridization
Digoxigenin-labeled RNA probes were generated from a region spanning exons 1–3 of cat Dkk4 and exons 4–6 of cat Edar using a PCR-based template (cDNA from Stage 16 cat embryonic epidermal cells; CCCTGAGTGTTCTGGTTTT, AATATTGGGGTTGCATCTTCC for Dkk4 and ATGGCACCAAAGATGAGGAC, GGCTCCTGTACATTCCTTGG for Edar) and in vitro transcription (Roche Diagnostics). 10 μM paraffin-embedded sections were deparaffinized with xylenes, followed by antigen retrieval using 0.01 M citrate buffer, pH 6 in a pressure cooker. Sections were treated with Proteinase K (Sigma), hybridized with 150 ng/ml riboprobe overnight at 60°, and incubated with anti-digoxigenin antibody conjugated with horseradish peroxidase (Roche Diagnostics 11207733910, 1:5000) and Tyramide-Cy3 amplification reagent (PerkinElmer). Sections were stained with ProLong antifade reagent with DAPI (Invitrogen).
Samples for whole-mount in situ hybridization were treated with Proteinase K (Sigma), neutralized with 2 mg/ml glycine, fixed in 4% paraformaldehyde with 0.1% glutaraldehyde (Electron Microscopy Sciences), treated with 0.1% sodium borohydride (Sigma), and hybridized with 0.5 μg/ml Dkk4 riboprobe at 60° overnight. Embryos were subsequently treated with 2% blocking reagent (Roche Diagnostics) in maleic acid buffer with Tween-20 (MABT), incubated with an alkaline phosphatase-conjugated anti-digoxigenin antibody (Roche Diagnostics 112093274910, 1:5000) overnight at 4°, and developed 3–6 h in BM Purple (Sigma). Whole-mount preparations were photographed on a dissecting microscope under direct illumination, with oversaturation and vignetting artifacts corrected in processing. Nuclear fast red (Sigma) was used to stain 5 μM sections in Supplementary Fig. 3.
For analysis of Dkk4 expression in fetal skin of TaM/TaM and Tab/Tab embryos (Fig. 2d), we quantified the difference between the two genotypes by counting the number of Dkk4-positive regions in 3.6 mm longitudinal segments of flank epidermis from sections of TaM/TaM (n = 4 epidermal segments from three embryos) and Tab/Tab (n = 3 epidermal segments from two embryos) embryos.
Tissue preparation for single-cell RNA sequencing
A single embryo at each of three developmental stages (Stage 15a, 15b, and 16a) was used to prepare a dissociated cell homogenate for single-cell RNA sequencing. Embryos were treated with Dispase (Stem Cell Technologies) and the epidermis was removed with gentle scraping using a No.15-blade scalpel. Epidermal sheets were dissociated with trypsin (Gibco) and gentle agitation. Red blood cells were removed with a red blood cell lysis solution (Miltenyi Biotec). Single-cell suspensions were incubated with a rat anti-CD49f antibody conjugated with phycoerythrin (ThermoFisher Scientific, clone NKI-GoH3 12-0495-82), followed by anti-phycoerythrin magnetic microbeads and enriched using a column-magnetic separation procedure (Miltenyi Biotec).
We constructed and analyzed a total of nine scRNAseq libraries from fetal skin, of which three are described in detail here from stages 15a, 15b, and 16 (Supplementary Table 1). Each of the three libraries consisted of >4400 cells, with median gene and unique transcript counts ranging from 2,570 to 4,180 and 9,419 to 18,244, respectively, and 24,164−25,514 genes detected across all cell populations (Supplementary Table 4).
3′ single-cell barcoding and library preparation were performed using 10x Genomics single-cell RNA sequencing platform (10x Genomics). Libraries were constructed with version 2 (stage 16a) or version 3 (stage15 a/b) chemistry and sequenced on a single HiSeqX (Illumina) lane to generate 400–450 million paired-end 150 bp reads (Supplementary Table 4).
Barcoded reads were aligned to the domestic cat genome assembly (felCat9, NCBI Felis catus Annotation Release 104) using the 10x Genomics CellRanger (v3.1) software. Annotations for 3′ untranslated regions were extended by 2 kb for all transcripts except when an extension overlapped a neighboring gene. The ‘cellranger count’ pipeline was used to output feature-barcode matrices, secondary analysis data, and browser visualization files. The ‘cellranger reanalyze’ function was used to exclude 247 cell cycle genes and XIST to minimize cell cycle and sex-associated variation in downstream analysis.
For the analysis of the stage 16a dataset, we used k-means clustering performed by the ‘cellranger count’ pipeline and gene markers to assign the identity of specific cell clusters (Supplementary Table 3 and Fig. 2a). Differential expression analysis between cell populations defined by clustering was measured using Cell Ranger’s implementation of sSeq47, which employs a negative binomial exact test. Genomic coordinates for the 604 genes differentially expressed at stage 16a were determined using the felCat9 genome assembly feature table file (www.ncbi.nlm.nih.gov/assembly/GCF_000181335.3/).
k-means clustering (k = 10) did not resolve subpopulations of basal keratinocytes at stage 15a, likely due to the relatively small number of Dkk4-positive cells (Fig. 2b, c). However, aggregation of expression matrices from stages 15a and 15b, using the ‘cellranger aggr’ function, resulted in co-alignment of stage15a (n = 59) and 15b (n = 774) Dkk4-positive cell populations in UMAP projections, and those projections are depicted in Fig. 2b.
For the analysis of the stages 15a and 15b datasets, we used an empiric threshold for Dkk4 expression to distinguish between Dkk4-positive and Dkk4-negative cells, e.g., all cells in the data set demonstrating four-fold elevated Dkk4 expression (relative to all cells, and equivalent to >2 Dkk4 UMI counts per cell) were categorized as the Dkk4-positive population, and all basal keratinocytes (Krt5-positive; Krtdap-negative) with less than four-fold Dkk4 levels (relative to all cells) were categorized as the Dkk4-negative population. We tested thresholds of two-, four-, eight-, and 16-fold, and observed little impact on the number of basal keratinocytes deemed Dkk4-positive and Dkk4-negative at each of the three stages (Supplementary Table 9). Differential expression analysis between the Dkk4 populations was measured using Cell Ranger’s implementation of sSeq.
For stage 15b, a subset of basal keratinocytes had a distinct gene expression signature characterized by the expression of Engrailed (En1) and HoxC genes, likely to reflect cells from the developing limb bud. The En1/HoxC signature was not observed at stages 15a or 16a, and therefore this population of cells was excluded from the stage15b differential expression analysis.
Supplementary Data 1 displays the expression levels, fold-change between Dkk4-positive and Dkk4-negative cells, and false discovery rates (FDR) for all genes. For analysis of differentially expressed genes across the different stages, we used two different approaches. Figure 3 depicts 508 genes differentially expressed (FDR < 0.05, expression level >0.25 transcripts/cell) for each of the three stages. However, using an FDR threshold can be biased by population size differences at each time point. For example, at stage 15a, when the ratio of Dkk4-positive to Dkk4-negative cells is low, comparison of 59 Dkk4-positive to 1569 Dkk4-negative cells yields 13 of 21761 genes with an FDR < 0.05, but a two-fold differential expression threshold yields 928 genes, of which 184 are in common with stages 15b and 16a (Fig. 3a, b). As an alternative and less stringent approach to differential expression analysis, we applied to each stage (1) a two-fold differential expression threshold and (2) a median normalized average of >0.1 transcript in one or more of the basal keratinocyte populations, which yields 928, 761, and 606 differentially expressed genes at stages 15a, 15b, and 16a, respectively (Supplementary Fig. 4).
For the 508 differentially expressed genes depicted in Fig. 3, hierarchical clustering by Euclidean distance using the pheatmap (v1.012) package in R v3.6.1–4.03 was used to identify three groups (cutree_rows = 3 option) of genes. Gene enrichment analysis using Enrichr29 was used to identify a set of Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways that are enriched for differentially expressed genes that are highly (cluster A) or moderately (cluster B) upregulated in Dkk4-positive keratinocytes. Enrichr uses two measures to evaluate enrichment, a Fisher exact test (p-value, Fig. 3b) and an expected rank test (odds ratio, Fig. 3b), for which null rankings are determined from a randomized set of gene lists29. Wnt pathway gene expression levels in keratinocytes (Fig. 3c) and expression levels for genes that define the different epithelial cell populations (Supplementary Fig. 2) were determined using the 10x Genomics Loupe cell browser (v3.1).
Ticked genetic analysis
Our initial evaluation of Dkk4 as a candidate gene for Ticked was based on its genetic map location19,37 and a survey of existing genome sequence data from the 99 Lives collection20,38. Whole-genome sequence data from 57 cats in the 99 Lives dataset were used for variant detection. Variant calling and annotation (NCBI Felis catus Annotation Release 103) were performed with Platypus48 (v0.1.5) and SNPeff49 (v4.3i), respectively, after alignment to the domestic cat genome (felCat8) with BWA50 (v0.7.16). SNPsift (v4.3i) was used to identify protein-coding variants in Vdac3, Polb, Dkk4, and Plat.
Combined annotation-dependent depletion51 (CADD, v1.4) was used to score the deleteriousness of coding variants within Dkk4, after converting to orthologous positions in the human genome (GRCh38/Hg38). SignalP-5.052 was used to predict signal peptide cleavage for the p.Ala18Val variant, and the PyMol browser (v2.3.3) was used to visualize and display the protein structure of the CRD1 domain of Dkk4 (Fig. 5c), using the N-terminal region solution structure of recombinant human Dkk4 protein39 (5O57, Protein Data Bank).
In addition to the 99 Lives collection, we collected additional DNA samples from cat shows and breeders, and carried out the association, haplotype, and segregation analysis to further evaluate the p.Ala18Val and p.Cys63Tyr variants in Dkk4. Beagle53 v4.1 was used to infer haplotypes across a 15 Mbp interval from chrB1:30,000,000–45,000,000 (felCat8). Phased SNPs were thinned to 1 site/5 kb with VCFtools (v0.1.16) and converted to felCat9 assembly coordinates with the UCSC LiftOver tool. The color coding for reference (blue) and alternate (yellow) alleles (Supplementary Fig. 6a) reflect the felCat8 assembly, but the genomic coordinates presented are converted to the felCat9 assembly.
Ticked is required and/or strongly selected for in the Abyssinian, Burmese, and Singapura breeds. As shown in Table 1 and Supplementary Table 6, 37 Abyssinian and 26 Singapura cats carried at least one derivative Dkk4 allele, the majority as homozygotes or compound heterozygotes. Among 13 Burmese cats, 11 were homozygous for the Dkk4 p.Ala18Val variant, one was heterozygous, and one was homozygous for the ancestral allele (Table 1 and Supplementary Table 6). For other breeds including the Egyptian Mau, Ocicat, and Bengal cat, tabby markings are required; therefore Ticked should not be present due to its epistasis over Tabby35. In 31 such animals, none carried a derivative Dkk4 allele (Table 1 and Supplementary Table 6). Finally, in feral cats and in some breeds such as the Oriental Longhair (OLH) and Oriental Shorthair (OSH), both Ticked and non-Ticked phenotypes are observed. In this group, we found that 29 of 29 Ticked cats were heterozygous or homozygous for the Dkk4 p.Ala18Val variant, while no Dkk4 deleterious variants were observed in 203 non-Ticked cats (Table 1 and Supplementary Table 6).
We evaluated Mendelian transmission and allelic interactions in an OSH pedigree (Supplementary Fig. 6b) and observed that the p.Ala18Val variant cosegregated perfectly with the Ticked phenotype (13 Ticked, 8 non-Ticked). In a Singapura pedigree that segregated both alleles (Supplementary Fig. 6c, the Ticked phenotype was observed in p.Ala18Val homozygotes (n = 6), p.Cys63Tyr homozygotes (n = 1), and compound heterozygotes (n = 7).
Functional evaluation of Dkk4 variants
The domestic cat Dkk4, Dkk4 p.Ala18Val, and Dkk4 p.Cys63Tyr variants were synthesized as double-stranded DNA molecules to incorporate an optimized Kozak sequence and a sequence encoding a C-terminal, 6x Histidine-Flag epitope fusion on the 5′ and 3′ ends, respectively. The DNA fragments were cloned into NotI_XbaI sites of the mammalian expression vector, pTwist_CMV_BetaGlobin_WPRE_Neo (Twist Biosciences). Gene sequence and cloning junctions were confirmed by sequencing.
For transfections, 2 million HEK293 (ATCC CRL-1573) cells were seeded on a 10 cm dish and grown in DMEM + 10% FBS for 12–16 h. 10μg of Dkk4 and eGFP (peGFP-N1, Takara Bio) expression plasmids were mixed and transfected using the calcium phosphate transfection method. After four hours, the transfection media was replaced with 10 ml serum-free CD293 media. After 48 h, the conditioned media was collected and concentrated to ~250 μl using a 10 kDa Amicon filter (Sigma), following the manufacturer’s instructions. HEK293 cells were lysed in the dish with 1 mL of ice-cold RIPA buffer supplemented with a complete protease inhibitor tablet (Roche), and the soluble lysate was recovered after centrifugation.
Protein concentrations from concentrated conditioned media and soluble cell lysates were measured by Pierce BCA protein assay (Thermo Scientific) on a SpectraMax iD3 plate reader (Molecular Devices). Equivalent amounts were electrophoresed, blotted, and incubated with anti-GFP (abcam ab290, 1:1000) and anti-flag (Millipore Sigma, M2 clone F1804, 1:1000) antibodies followed by goat anti-rabbit horseradish peroxidase (Jackson ImmunoResearch 111-035-144, 1:5000) and goat anti-mouse horseradish peroxidase (Jackson ImmunoResearch 111-035-166, 1:5000), respectively, and ECL reagent (BioRad). Imaging and quantification of Western blots were performed using ChemiDoc Imaging System and the Image Lab Software Suite (v6.1, BioRad).
Further information on research design is available in the Nature Research Reporting Summary linked to this article.
The raw and processed single-cell RNAseq data generated in this study have been deposited in the Gene Expression Omnibus database “GSE152946”. GEO files include unfiltered feature-barcode matrices in HDF5 format, output by the CellRanger pipeline, and Illumina fastq files for stage 15a, 15b, and 16a single-cell RNAseq. The lists of differentially expressed genes and overlap with hair follicle placode genes are provided in Supplementary Data 1. All other relevant data supporting the key findings of this study are available within the article and its Supplementary Information files or from the corresponding author upon reasonable request. Source data are provided with this paper.
Allen, W. L., Cuthill, I. C., Scott-Samuel, N. E. & Baddeley, R. Why the leopard got its spots: relating pattern development to ecology in felids. Proc. R. Soc. B: Biol. Sci. 278, 1373–1380 (2011).
Jonathan, B. L. B. A unity underlying the different zebra striping patterns. J. Zool. 183, 527–539 (1977).
Kondo, S. An updated kernel-based Turing model for studying the mechanisms of biological pattern formation. J. Theor. Biol. 414, 120–127 (2017).
Turing, A. M. The chemical basis of morphogenesis. Phil. Trans. R. Soc. London Ser. B 237, 37–72 (1952).
Cohen, M., Georgiou, M., Stevenson, N. L., Miodownik, M. & Baum, B. Dynamic filopodia transmit intermittent delta-notch signaling to drive pattern refinement during lateral inhibition. Dev. Cell 19, 78–89 (2010).
Economou, A. D. et al. Periodic stripe formation by a Turing mechanism operating at growth zones in the mammalian palate. Nat. Genet. 44, 348–351 (2012).
Glover, J. D. et al. Hierarchical patterning modes orchestrate hair follicle morphogenesis. PLoS Biol. 15, e2002117 (2017).
Ho, W. K. et al. Feather arrays are patterned by interacting signaling and cell density waves. PLoS Biol. 17, e3000132 (2019).
Jiang, T. X., Jung, H. S., Widelitz, R. B. & Chuong, C. M. Self-organization of periodic patterns by dissociated feather mesenchymal cells and the regulation of size, number, and spacing of primordia. Development 126, 4997–5009 (1999).
Miura, T., Shiota, K., Morriss-Kay, G. & Maini, P. K. Mixed-mode pattern in doublefoot mutant mouse limb—Turing reaction–diffusion model on a growing domain during limb development. J. Theor. Biol. 240, 562–573 (2006).
Pourquié, O. The segmentation clock: converting embryonic time into spatial pattern. Science 301, 328–330 (2003).
Sick, S., Reinker, S., Timmer, J. & Schlake, T. WNT and DKK determine hair follicle spacing through a reaction–diffusion mechanism. Science 314, 1447–1450 (2006).
Patterson, L. B. & Parichy, D. M. Zebrafish pigment pattern formation: insights into the development and evolution of adult form. Annu. Rev. Genet. 53, 505–530 (2019).
Singh, A. & Nüsslein-Volhard, C. Zebrafish stripes as a model for vertebrate colour pattern formation. Curr. Biol. 25, R81–R92 (2015).
Watanabe, M. & Kondo, S. Is pigment patterning in fish skin determined by the Turing mechanism. Trends Genet. 31, 88–96 (2015).
Jordan, S. A. & Jackson, I. J. Melanocortin receptors and antagonists regulate pigmentation and body weight. Bioessays 20, 603–606 (1998).
Kaelin, C. B. et al. Specifying and sustaining pigmentation patterns in domestic and wild cats. Science 337, 1536–1541 (2012).
Millar, S. E., Miller, M. W., Stevens, M. E. & Barsh, G. S. Expression and transgenic studies of the mouse agouti gene provide insight into the mechanisms by which mammalian coat color patterns are generated. Development 121, 3223–3232 (1995).
Eizirik, E. et al. Defining and mapping mammalian coat pattern genes: multiple genomic regions implicated in domestic cat stripes and spots. Genetics 184, 267–275 (2010).
Buckley, R. M. et al. A new domestic cat genome assembly based on long sequence reads empowers feline genomic medicine and identifies a novel gene for dwarfism. PLoS Genet. 16, e1008926 (2020).
Pontius, J. U. et al. Initial sequence and comparative analysis of the cat genome. Genome Res. 17, 1675–1689 (2007).
Levy, J. K., Gale, D. W. & Gale, L. A. Evaluation of the effect of a long-term trap-neuter-return and adoption program on a free-roaming cat population. J. Am. Vet. Med. Assoc. 222, 42–46 (2003).
Knospe, C. Periods and stages of the prenatal development of the domestic cat. Anat., Histol., Embryol.: J. Vet. Med. Ser. C. 31, 37–51 (2002).
Kaufman, M. H. The Atlas of Mouse Development (Academic Press, 1992).
Searle, A. G. Gene frequencies in London’s cats. J. Genet. 49, 214–220 (1949).
Becht, E. et al. Dimensionality reduction for visualizing single-cell data using UMAP. Nat. Biotechnol. 37, 38–44 (2019).
Fuchs, E. & Green, H. Changes in keratin gene expression during terminal differentiation of the keratinocyte. Cell 19, 1033–1042 (1980).
Sennett, R. et al. An integrated transcriptome atlas of embryonic hair follicle progenitors, their niche, and the developing skin. Dev. Cell 34, 577–591 (2015).
Chen, E. Y. et al. Enrichr: interactive and collaborative HTML5 gene list enrichment analysis tool. BMC Bioinform. 14, 128 (2013).
Tomann, P., Paus, R., Millar, S. E., Scheidereit, C. & Schmidt-Ullrich, R. Lhx2 is a direct NF-κB target gene that promotes primary hair follicle placode down-growth. Development 143, 1512–1522 (2016).
Zhang, Y. et al. Activation of β-catenin signaling programs embryonic epidermis to hair follicle fate. Development 135, 161–172 (2008).
Zhang, Y. et al. Reciprocal requirements for EDA/EDAR/NF-kappaB and Wnt/beta-catenin signaling pathways in hair follicle induction. Dev. Cell 17, 49–61 (2009).
Reddy, S. et al. Characterization of Wnt gene expression in developing and postnatal hair follicles and identification of Wnt5a as a target of Sonic hedgehog in hair follicle morphogenesis. Mech. Dev. 107, 69–82 (2001).
Whiting, P. W. Inheritance of coat-color in cats. J. Exp. Zool. 25, 539–569 (1918).
Kaelin, C. B. & Barsh, G. S. Genetics of pigmentation in dogs and cats. Annu. Rev. Anim. Biosci. 1, 125–156 (2013).
Lomax, D. & Robinson, R. Tabby pattern alleles of the domestic cat. J. Hered. 79, 21–23 (1988).
Lyons, L. A. et al. The Tabby cat locus maps to feline chromosome B1. Anim. Genet. 37, 383–386 (2006).
Lyons, L. A. et al. Whole genome sequencing in cats, identifies new models for blindness in AIPL1 and somite segmentation in HES7. BMC Genomics 17, 265 (2016).
Patel, S. et al. Structural and functional analysis of Dickkopf 4 (Dkk4): new insights into Dkk evolution and regulation of Wnt signaling by Dkk and Kremen proteins. J. Biol. Chem. 293, 12149–12166 (2018).
Meinhardt, H. & Gierer, A. Pattern formation by local self-activation and lateral inhibition. Bioessays 22, 753–760 (2000).
Eom, D. S., Bain, E. J., Patterson, L. B., Grout, M. E. & Parichy, D. M. Long-distance communication by specialized cellular projections during pigment pattern development and evolution. eLife 4, e12401 (2015).
Kaelin, C. & Barsh, G. Tabby pattern genetics—a whole new breed of cat. Pigment Cell Melanoma Res. 23, 514–516 (2010).
Eizirik, E. et al. Molecular genetics and evolution of melanism in the cat family. Curr. Biol. 13, 448–453 (2003).
Maruyama, M. et al. Laeverin/aminopeptidase Q, a novel bestatin-sensitive leucine aminopeptidase belonging to the M1 family of aminopeptidases. J. Biol. Chem. 282, 20088–20096 (2007).
Ogilby, W. Felis servalina. Proc. Zool. Soc. Lond. 7, 94 (1839).
Figueiró, H. V. et al. Genome-wide signatures of complex introgression and adaptive evolution in the big cats. Sci. Adv. 3, e1700299 (2017).
Yu, D., Huber, W. & Vitek, O. Shrinkage estimation of dispersion in Negative Binomial models for RNA-seq experiments with small sample size. Bioinformatics 29, 1275–1282 (2013).
Rimmer, A. et al. Integrating mapping-, assembly- and haplotype-based approaches for calling variants in clinical sequencing applications. Nat. Genet. 46, 912–918 (2014).
Cingolani, P. et al. A program for annotating and predicting the effects of single nucleotide polymorphisms, SnpEff: SNPs in the genome of Drosophila melanogaster strain w1118; iso-2; iso-3. Fly 6, 80–92 (2012).
Li, H. & Durbin, R. Fast and accurate short read alignment with Burrows–Wheeler transform. Bioinformatics 25, 1754–1760 (2009).
Kircher, M. et al. A general framework for estimating the relative pathogenicity of human genetic variants. Nat. Genet. 46, 310–315 (2014).
Almagro Armenteros, J. J. et al. SignalP 5.0 improves signal peptide predictions using deep neural networks. Nat. Biotechnol. 37, 420–423 (2019).
Browning, S. R. & Browning, B. L. Rapid and accurate haplotype phasing and missing-data inference for whole-genome association studies by use of localized haplotype clustering. Am. J. Hum. Genet. 81, 1084–1097 (2007).
The authors thank Hermogenes Manuel for technical assistance, Anthony Hutcherson and other members of The International Cat Association and Cat Fancy Association for assistance with breed sample collection, Trap-Neuter-Release programs in California for assistance with feral sample collection, Valerie Smith, Adriana Kajon, and Gulnaz Sharifzyanova for providing material from OSH, Singapura, and Savannah pedigrees, respectively, Helmi Flick and Jamila Agaeva for domestic and Savannah cat photographs, respectively. This research has been supported in part by the HudsonAlpha Institute for Biotechnology, and by a grant from the National Institutes of Health to G.S.B. (AR-067925).
The authors declare no competing interests.
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Kaelin, C.B., McGowan, K.A. & Barsh, G.S. Developmental genetics of color pattern establishment in cats. Nat Commun 12, 5127 (2021). https://doi.org/10.1038/s41467-021-25348-2