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Regulatory mutations in TBX3 disrupt asymmetric hair pigmentation that underlies Dun camouflage color in horses

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Dun is a wild-type coat color in horses characterized by pigment dilution with a striking pattern of dark areas termed primitive markings. Here we show that pigment dilution in Dun horses is due to radially asymmetric deposition of pigment in the growing hair caused by localized expression of the T-box 3 (TBX3) transcription factor in hair follicles, which in turn determines the distribution of hair follicle melanocytes. Most domestic horses are non-dun, a more intensely pigmented phenotype caused by regulatory mutations impairing TBX3 expression in the hair follicle, resulting in a more circumferential distribution of melanocytes and pigment granules in individual hairs. We identified two different alleles (non-dun1 and non-dun2) causing non-dun color. non-dun2 is a recently derived allele, whereas the Dun and non-dun1 alleles are found in ancient horse DNA, demonstrating that this polymorphism predates horse domestication. These findings uncover a new developmental role for T-box genes and new aspects of hair follicle biology and pigmentation.
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15 2 VOLUME 48 | NUMBER 2 | FEBRUARY 2016 Nature GeNetics
The Dun coat color phenotype in horses is characterized by pigmentary
dilution affecting most of the body hair, leaving areas with undi-
luted pigment in a variable pattern, with the most common fea-
ture being a dark dorsal stripe. This stripe and other Dun pattern
elements are termed primitive markings (Fig. 1a, Online Methods
and Supplementary Fig. 1). Most domestic horses, including the
individual used for the genome assembly1, are non-dun, with little or
no pigment dilution and a faint or absent dorsal stripe. The Dun coat
color is presumed to be wild type, as the Przewalski’s horse, a close
relative of the ancestor of domestic horses2,3, exhibits Dun color, as do
other wild equids—the kiang, onager and African wild ass, as well as
the quagga, a now extinct subspecies of plains zebra. The phylogenetic
distribution of the Dun phenotype and the reduced pigment intensity
of Dun horses (Supplementary Fig. 1) suggest that Dun coloring
serves an important camouflage role in equids.
Dun (D) is fully dominant over non-dun (d) (ref. 4). However, the
corresponding phenotypes are sometimes misclassified because some
non-dun horses exhibit faint primitive markings and may appear super-
ficially similar to Dun horses, especially if mutations in other pigment
dilution genes are present4 (Fig. 1a and Supplementary Fig. 2).
Here we show that in horses the TBX3 gene (encoding the T-box
3 transcription factor) is normally expressed in a pattern resulting in
the Dun phenotype and that regulatory mutations specifically impair-
ing TBX3 expression in the hair follicle cause non-dun coat color. In
humans, heterozygosity for loss-of-function mutations in TBX3 causes
a well-recognized pattern of developmental defects, ulnar-mammary
syndrome, with abnormalities in limb, apocrine gland, tooth and
genital development5. Experimental studies of Tbx3 in mice have pro-
vided insight into the mechanism of these abnormalities6,7, but TBX3
has not previously been implicated in pigmentation.
RESULTS
Dun color is caused by asymmetric deposition of hair pigment
Microscopic examination of dilute-colored hairs from the dorsal
hindquarters (croup; Supplementary Fig. 2a) of Dun horses showed
a striking reduction in pigment in a stereotyped, radially asymmetric
pattern (Fig. 1be). In sections perpendicular to the hair shaft, pig-
ment granules in dilute hairs from the croup were limited to approx-
imately 25–50% of the cortex (Fig. 1b, left). By contrast, pigment
granules in dorsal stripe hairs from Dun individuals (Supplementary
Fig. 2a) and in both croup and dorsal midline hairs from non-dun
individuals (Fig. 1b and Supplementary Fig. 2a) are more evenly
dispersed throughout the hair cortex. A similar observation was
described by Gremmel8 more than 75 years ago as pigment granule
Regulatory mutations in TBX3 disrupt asymmetric hair
pigmentation that underlies Dun camouflage color in horses
Freyja Imsland1,11, Kelly McGowan2,3,11, Carl-Johan Rubin1, Corneliu Henegar3, Elisabeth Sundström1,
Jonas Berglund1, Doreen Schwochow4,5, Ulla Gustafson4, Páll Imsland6, Kerstin Lindblad-Toh1,7,
Gabriella Lindgren4, Sofia Mikko4, Lee Millon8, Claire Wade7, Mikkel Schubert9, Ludovic Orlando9,
Maria Cecilia T Penedo8, Gregory S Barsh2,3 & Leif Andersson1,4,10
Dun is a wild-type coat color in horses characterized by pigment dilution with a striking pattern of dark areas termed primitive
markings. Here we show that pigment dilution in Dun horses is due to radially asymmetric deposition of pigment in the growing
hair caused by localized expression of the T-box 3 (TBX3) transcription factor in hair follicles, which in turn determines the
distribution of hair follicle melanocytes. Most domestic horses are non-dun, a more intensely pigmented phenotype caused
by regulatory mutations impairing TBX3 expression in the hair follicle, resulting in a more circumferential distribution of
melanocytes and pigment granules in individual hairs. We identified two different alleles (non-dun1 and non-dun2) causing
non-dun color. non-dun2 is a recently derived allele, whereas the Dun and non-dun1 alleles are found in ancient horse DNA,
demonstrating that this polymorphism predates horse domestication. These findings uncover a new developmental role for T-box
genes and new aspects of hair follicle biology and pigmentation.
1Science for Life Laboratory Uppsala, Department of Medical Biochemistry and Microbiology, Uppsala University, Uppsala, Sweden. 2HudsonAlpha Institute for
Biotechnology, Huntsville, Alabama, USA. 3Department of Genetics, Stanford University School of Medicine, Stanford, California, USA. 4Department of Animal
Breeding and Genetics, Swedish University of Agricultural Sciences, Uppsala, Sweden. 5Institut National de la Recherche Agronomique (INRA), AgroParisTech,
Génetique Animale et Biologie Intégrative, Jouy-en-Josas, France. 6Menntaskólinn við Hamrahlíð, Reykjavík, Iceland. 7Broad Institute of Harvard and MIT, Cambridge,
Massachusetts, USA. 8Veterinary Genetics Laboratory, School of Veterinary Medicine, University of California, Davis, Davis, California, USA. 9Centre for GeoGenetics,
Natural History Museum of Denmark, University of Copenhagen, Copenhagen, Denmark. 10Department of Veterinary Integrative Biosciences, College of Veterinary
Medicine and Biomedical Sciences, Texas A&M University, College Station, Texas, USA. 11These authors contributed equally to this work. Correspondence should be
addressed to L.A. (leif.andersson@imbim.uu.se) or G.S.B. (gbarsh@hudsonalpha.org).
Received 6 May; accepted 25 November; published online 21 December 2015; doi:10.1038/ng.3475
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Nature GeNetics VOLUME 48 | NUMBER 2 | FEBRUARY 2016 153
crowding or clumping but has not been otherwise investigated with
regard to the underlying mechanisms.
Asymmetric pigment distribution in dilute hairs was also apparent
in histological sections of skin, with the most intensely pigmented area
lying on the outward-facing side of the hair (Fig. 1c). Furthermore,
examination of longitudinal sections of anagen hair follicles showed
that the asymmetry in pigmentation begins in the hair bulb (Fig. 1d)
and therefore arises during or before melanin synthesis rather than
after pigment deposition.
We also examined pigment distribution in hairs from other equids
(Fig. 1f,g and Supplementary Table 1). Przewalski’s horse exhibits
a Dun phenotype with a dilute coat color and primitive markings,
including a dark dorsal stripe. As in Dun domestic horses,
dilute hairs from Przewalski’s horses exhibit asymmetric pigmen-
tation, whereas dorsal stripe hairs are uniformly pigmented. The
African wild ass, which diverged from the domestic horse more
than 4 million years ago2, also has a Dun phenotype with especially
prominent primitive markings on the legs and asymmetric hair
pigmentation (Fig. 1a,g).
non-dun is caused by noncoding TBX3 mutations
We first mapped the Dun locus to a region on horse chromosome
8 (chr. 8: 18,061,745–18,482,196) using microsatellite markers and
then fine-mapped the locus with a 27-SNP panel to a 200-kb region
containing only one gene, TBX3 (Fig. 2a). In a recent study of the
Gait-keeper mutation in horses9, we used a non-dun and a hetero-
zygous Dun horse for whole-genome resequencing, with each horse
sequenced to about 30× coverage with paired-end reads. A careful
examination of the associated region identified partially aligned
(soft-clipped) and unpaired reads in the Dun individual in an area
where the reads from the non-dun individual aligned well (Fig. 2b),
indicating the presence of a structural variant about 5 kb downstream
of TBX3. PCR amplification and Sanger sequencing showed that the
Dun haplotype has 1,617 bp that is missing from the EquCab2 assem-
bly, which is based on a non-dun horse. The missing sequence con-
sists of nearly contiguous 1,609-bp and 8-bp segments (Fig. 2c). The
Dun-specific sequence shows 86% identity to the correspond-
ing human sequence. Thus, the Dun allele is representative of the
ancestral state, and the deletion present on the sequenced non-dun
chromosomes, as well as in the reference assembly, is derived.
We genotyped a large number of Dun and non-dun horses from
various breeds for the deletion and concluded that it was not present
in the homozygous state in any of the 529 Dun horses, as expected if
it is a causal mutation for the recessive non-dun phenotype (Table 1).
However, only two-thirds of the non-dun horses were homozygous
for the deletion. Careful inspection of a subset of non-dun horses
demonstrated that horses homozygous for the deletion did not show
primitive markings, whereas many horses homozygous or hetero-
zygous for the non-deleted allele did (P = 4.3 × 10−17, Fisher’s exact
test; Fig. 1a, Table 1 and Supplementary Fig. 2). Thus, the non-dun
phenotype is caused by either of two alleles: non-dun1 (d1; associ-
ated with markings) or non-dun2 (d2; not associated with markings,
containing the derived 1.6-kb deletion). As described further below
(Online Methods and Supplementary Fig. 2), the non-dun1 allele has
a weaker effect than the non-dun2 allele with regard to both gross and
microscopic pigmentary phenotypes.
Dun
D/– D/–
D/–
D/–
non-dun
d1/d1
non-dun
d2/d2 d1/d1
d2/d2
Croup
170
**
35
0
2
Flank
Flank
Age (million years)
E. f. caballus
E. zebra, grevyi,
quagga
E. a. asinus
E. kiang
E. h. onager
543210
3
4
5
6
Intensity difference
Dorsal midline
d2/d2
a
D/– d1/d1 d2/d2
b
c
d
e
f
g
E. f.
przewalskii
E. a.
somaliensis
E. f. przewalskii
E. a. somaliensis
Figure 1 Phenotypic characterization. (a) Three horses with different genotypes at the Dun
locus on a similar pigmentary (E/−; a/a) background, including a blue Dun (D/−) horse, a
black horse with primitive markings (d1/d1) and a black horse without primitive markings
(d2/d2). Photographs by Freyja Imsland and Páll Imsland. (b) Cross-sections of hairs from
the croup of the three horses in a. (c) Skin and hair section stained with hematoxylin and
eosin from a Dun horse. (d) Hair sections stained with hematoxylin and eosin from Dun and
non-dun horses. (e) Color intensity differences across the diameter of the hair cortex
(means ± s.e.m.) as shown in the inset for the croup and dorsal midline in each phenotype
(n = 6 Dun and n = 6 non-dun). **P < 0.01 for Dun versus non-dun croup, two-tailed t test.
(f) Cladogram of the Equidae family (based on ref. 10); species with hair histology in g are
shown in bold. (g) Photographs of Przewalski’s horses (Equus ferus przewalskii) and Somali
wild ass (Equus africanus somaliensis) (left) and photomicrographs of transverse sections through
dilute-colored flank hairs (right). Photographs by Waltraut Zimmerman and the St. Louis Zoo.
Scale bars, 35 µm (b), 100 µm (c), 35 µm (d), 10 µm (e) and 50 µm (g).
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15 4 VOLUME 48 | NUMBER 2 | FEBRUARY 2016 Nature GeNetics
ARTICLES
To further explore genetic relationships between the Dun,
non-dun1 and non-dun2 alleles, we identified SNPs from the TBX3
region using resequencing data from 21 modern domestic horses, a
modern Przewalski’s horse and two ancient horses, one ~4,400 years
old from Yakutia and one ~42,700 years old from the Taymyr peninsula,
both of which are in Russia10 (Supplementary Table 2). We designed a
384-SNP panel covering ~375 kb with a SNP density in the core 200-kb
region of approximately 1 SNP/550 bp, including three SNPs within
the region deleted in non-dun2. Genotyping data were combined
with resequencing data (in total, for 71 Dun domestic horses, 152
non-dun domestic horses, 15 Przewalski’s horses and one domestic
horse–Przewalski’s horse hybrid; Supplementar y Table 2) to
analyze genotype-phenotype relationships. Only two SNPs showed
complete concordance with the Dun versus non-dun phenotype
when Przewalski’s horses were included in the genetic analysis
(Fig. 2d and Supplementary Table 3). One of these, SNP1 (G in Dun, T in
non-dun1), is located within the region deleted in non-dun2, 1,067 bp
downstream of the deletion breakpoint at chr. 8: 18,227,267. The
second, SNP2 (G in Dun, A in non-dun1 and non-dun2), is located 362 bp
upstream of the deleted region in non-dun2 at chr. 8: 18,226,905.
We analyzed resequencing data from modern horses, Przewalski’s
horses, the two ancient horses and 13 other equids, for a total of
87 equids (Supplementary Table 2), to comprehensively investigate
potential causal SNPs for non-dun1. This analysis identified three
additional SNPs and a 1-bp indel, all within the deleted region in
non-dun2, showing nearly complete linkage disequilibrium with the
Dun and non-dun1 alleles in domestic horses (Fig. 2e). However,
these four variants could be excluded as causal for the non-dun
phenotype because they were variable in Przewalski’s horses, which
are always Dun.
A total of 1,814 horses of known phenotype, representing more than
45 breeds (including Przewalski’s horses), were genotyped for SNP1
and SNP2 and for the presence of the 1.6-kb deletion. We observed
three common haplotypes: GG (associated with Dun), AT (associated
with non-dun1) and A-del (associated with non-dun2), where
genotypes are given for SNP2 and SNP1 or for SNP2 and the deletion.
These haplotypes showed complete concordance with phenotype
across this diverse set of horses (Table 1 and Supplementary Table 4).
In addition, a rare AG haplotype (associated with Dun) was found in
Estonian native horses, suggesting that SNP2 is not required for the
Dun phenotype. Taken together with the resequencing data (Fig. 2e),
these results indicate that SNP1 is sufficient to cause a non-dun1
phenotype and that the 1.6-kb deletion is the causal mutation for the
non-dun2 phenotype.
Bioinformatic analysis11 predicted binding sites in the region
deleted in non-dun2 for ALX4 and MSX2, two transcription factors
with an established role in hair follicle development12–15. Furthermore,
SNP1 is predicted to affect binding of the CCAT box–binding
transcription factors, NF-Y and NF-I.
We used the pattern of sequence variation in the TBX3 region in
equids to explore the evolutionary history of the Dun and non-dun
haplotypes (Fig. 2e and Supplementary Tables 3 and 5). There was
almost no diversity among non-dun2 chromosomes, as expected for a
recently derived allele (Fig. 2f). In contrast, non-dun1 chromosomes
60
25
20
15
10
5
0
40
–log10 (P value)
–log10 (P value)
20
0
18.0 18.0
18,227,000
115,100,000
18.20 18.2418.22
Mouse
Rabbit
Pig
Orca
Horse
Dog
Elephant
4
0
–4 1,609 bp
Mammalian conservation
hg19 chr. 12 (Mb)
115,104,500
0.3
0.2
0.1
018.15
Nucleotide diversity
18.20
d1
d2
D (Przewalski’s horses)
D (domestic horses)
18.25 18.30
Multiz alignment
D/d2
d2/d2
18,227,500
EquCab2 chr. 8 (Mb) EquCab2 chr. 8 (Mb)
EquCab2 Phenotype Genotype
Deletion
18,226,905
18,227,267 + 328
18,227,267 + 871
18,227,267 + 1,066
18,227,267 + 1,480
18,227,267 + 1,500
d2/d2
d1/d1
d1/d1
D/d1
D/D
D/D
D/D
D/D
D/D
D/D
D/D
D/D
D/D
D/D
D/D
D/D
non-dun
Dun
Dun
Dun
Dun
Dun
Dun
Dun
Dun
Zebra
Zebra
Zebra
Zebra/Dun
?
?
non-dun
Domestic horse
Domestic horse
Domestic horse
Domestic horse (Estonian)
4,400-year-old wild horse
Przewalski’s horse
Przewalski’s horse
EquCab2 chr. 8 (bp)
EquCab2 chr. 8 (Mb)
EquCab2 chr. 8 (Mb)
18.1 18.2 18.3 18.4 18.5 18.1 18.2 18.3 18.4
TBX5TBX3
TBX3
TBX3
TBX3
42,700-year-old wild horse
African wild ass
Domestic donkey
Kiang
Onager
Grévy’s zebra
Mountain zebra
Plains zebra (Burchell’s)
Plains zebra (quagga)
D
d1
d2
a d
b
c
e
f
Figure 2 Genetic analysis. (a) Association
analysis (
χ
2) of the Dun phenotype with SNP
genotypes at chr. 8: 18,061,745–18,482,196.
(b) Read alignments from whole-genome
sequencing of a Dun heterozygote and a non-
dun homozygote. Red borders denote a read
pair where one of the reads is unmapped; blue
segments represent soft-clipped parts of reads
where part of the read cannot be aligned. The
position of the deletion downstream of TBX3 at
chr. 8: 18,227,267–18,227,279 is indicated,
and the extent of sequence conservation is
illustrated using human genome annotation.
(c) Alignment of the Dun, non-dun1 and non-dun2
alleles at the deletion breakpoints, showing how
the deletion breakpoint closer to TBX3 is flanked
by an additional deletion of 8 bp in non-dun2;
there is a 1-bp indel polymorphism between
Dun and non-dun1. (d) SNP association analysis
(−log10 (P value), two-tailed Fisher’s exact
test) between Dun and non-dun1 haplotypes,
including both domestic and Przewalski’s
horses. SNP1 and SNP2 are marked with a black
arrow. Red dots mark candidate SNPs selected
on the basis of allele frequencies of more than
50% in Dun individuals (dominant trait) and less
than 5% in non-dun individuals (erroneous calls)
(Supplementary Table 3). The location of the
deletion is marked with a red arrow in d and f.
(e) Alignment of six sequence polymorphisms
associated with Dun and non-dun1 haplotypes
from domestic horses. SNP1 and SNP2 are
shown in bold. (f) Nucleotide diversity at
polymorphic sites estimated in sliding windows
of 100 SNPs for Dun (D), non-dun1 (d1) and
non-dun2 (d2) chromosomes among domestic
horses and Przewalski’s horses.
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Nature GeNetics VOLUME 48 | NUMBER 2 | FEBRUARY 2016 155
ARTICLES
showed extensive diversity across the entire region (Fig. 2f and
Supplementary Table 5), demonstrating that non-dun1 cannot be
a recently derived allele. Surprisingly, Dun chromosomes in domes-
tic horses were associated with as little nucleotide diversity as the
non-dun2 allele. This relative lack of diversity likely represents either
a founder effect of horse domestication or a subsequent bottleneck,
as Dun chromosomes from Przewalski’s horses showed extensive
nucleotide diversity (Fig. 2f).
Interestingly, the 4,400-year-old ancient horse could be deduced to
be homozygous non-dun1, whereas the 42,700-year-old horse was het-
erozygous Dun/non-dun1. Thus, the divergence of Dun and non-dun1
haplotypes predates domestication. All other equids, including three
species of asses and three species of zebras, could be deduced to be
homozygous Dun on the basis of SNP1 and SNP2 genotypes (Fig. 2e).
Thus, non-dun1 is a derived allele that arose over 40,000 years ago.
Differential gene expression in skin
To gain insight into the mechanism of pigmentary dilution, we gener-
ated and analyzed transcriptome data from the croup skin of seven
Dun and 11 non-dun horses. We identified 57 differentially expressed
genes (Fig. 3a and Supplementary Table 6), including TBX3, which
was downregulated by 1.6-fold in non-dun skin. Quantitative RT-PCR
(RT-qPCR) confirmed downregulation of TBX3 in both non-dun1
(3.5-fold; n = 3) and non-dun2 (2.5-fold; n = 6) homozygotes; notably,
the neighboring gene, TBX5, did not show differential expression
(Supplementary Fig. 3a). The RNA sequencing (RNA-seq) results
also showed upregulation of eight genes with well-established roles in
melanocyte-specific pigment production (TYR, DCT, MC1R, TRPM1,
SLC24A5, MLANA, KIT and OCA2) in non-dun croup skin, consist-
ent with increased pigmentation intensity in non-dun hair (Fig. 1b,d).
ASIP, EDN3 and KITLG are three genes with known regulatory roles
in animal color patterns; of these, only KITLG exhibited differential
expression. We also examined transcriptome data from the dorsal
stripe skin of Dun horses and skin from the corresponding location in
non-dun horses and did not observe differential expression of mela-
nogenic or melanocyte regulatory genes (Supplementary Table 6).
TBX3 is asymmetrically expressed in Dun hair follicles
Immunohistochemistry of sections from Dun croup skin displayed
an unusual pattern of TBX3 expression in hair follicles mirroring the
pattern of pigment deposition (Fig. 3b and Supplementary Fig. 4a).
In sequential sections of anagen hair follicles, TBX3 immunostaining
was localized to a cluster of keratinocytes in the developing hair cortex
(Supplementary Fig. 4a). TBX3 was not expressed in hair cortex kerat-
inocytes from non-dun croup skin (Fig. 3b) nor from the dark dorsal
midline of Dun and non-dun horses (Supplementary Fig. 4b) but
was expressed in the outer cuticular layer of hair follicles in all samples
(Fig. 3b and Supplementary Fig. 4). These observations suggest that
TBX3 operates in a specific subset of hair cortex keratinocytes to inhibit
pigment synthesis in the dilute hair of Dun horses.
We used immunohistochemistry for MITF and KIT, markers of
mature pigment cells16, to investigate the distribution of melanocytes
in croup skin biopsies from Dun and non-dun horses. MITF was
detected in the pigmented epidermis of Dun and non-dun horses
and showed symmetrical immunostaining in hair follicles of non-dun
horses (Fig. 3c and Supplementar y Fig. 5a). In contrast, asymmet-
ric immunostaining of MITF and KIT was observed in hair follicles
from the croup skin of Dun horses, corresponding to the pattern of
pigment deposition (Fig. 3c,d and Supplementary Fig. 5a). Thus,
both the histological and transcriptomic differences between Dun
and non-dun horses arise from differences in melanocyte distribution
within the hair follicle.
In the RNA-seq data, we observed no difference between non-dun
and Dun skin in the expression of MITF, likely owing to the presence
of cells in the dermis whose expression of MITF was not affected by
Dun genotype. By contrast, the RNA-seq data showed a significant
increase in the expression of KIT and, notably, KITLG (encoding KIT
ligand) in non-dun skin in comparison to Dun skin (Fig. 3a), a finding
confirmed by RT-qPCR experiments (Supplementary Fig. 3b).
Previous studies have identified KITLG as a keratinocyte-derived mol-
ecule necessary for melanocyte migration and survival in the skin and
hair follicle17,18. Immunohistochemistry showed that KITLG-positive
cells were uniformly distributed in the hair bulbs of non-dun ani-
mals and in the pigmented epidermis of all animals examined (Fig. 3e
and Supplementary Fig. 5b). However, KITLG showed asymmetric
expression in hair bulb keratinocytes from Dun croup skin, consistent
with the asymmetry of melanocyte distribution and pigment deposi-
tion. Apparent suppression of KITLG expression occurred in a similar
but not identical location to where asymmetric expression of TBX3
occurred in Dun croup skin (Fig. 3e and Supplementary Fig. 5b).
TBX3 and hair follicle symmetry and differentiation
To further investigate the mechanism by which TBX3 affects KITLG
expression and melanocyte localization, we examined the morphology
and differentiation of croup hair follicles in Dun horses in comparison
to those in non-dun horses. In addition to asymmetry in pigment
deposition, we observed that croup hair follicles from Dun horses
exhibited an apparent asymmetry in hair bulb volume. To assess this
difference quantitatively, we measured hair bulb volume in serial hair
follicle sections, using the center of the dermal papilla as a central
boundary, and expressed the extent of asymmetry as the percent dif-
ference in volume between the outward-facing and inward-facing
halves of each hair bulb (Fig. 4a). Croup hair follicles from Dun horses
(n = 4) exhibited significantly greater asymmetry in bulb volume than
those from non-dun horses (n = 4). In contrast, no difference between
Table 1 Association between TBX3 sequence variation and Dun
phenotypes
Genotype frequency for the 1.6-kb deletion
Deletion
PhenotypeaWT/WT WT/del del/del Total
Dun 222 307 0 529
non-dun, dorsal stripe status unknown 108 280 803 1,191
non-dun, with dorsal stripe 28 44 0 72
non-dun, without dorsal stripe 0 3 19 22
Total 358 634 822 1,814
Genotype frequency for causal TBX3 variants
TBX3 genotypes DunbPhenotype
SNP2 SNP1 Deletion Dun non-dun Total
G/G G/G WT/WT D/D152 0 152
A/A G/G WT/WT D/D2 0 2
A/G G/T WT/WT D/d1 66 0 66
A/A G/T WT/WT D/d1 2 0 2
A/G G/− WT/del D/d2 303 0 303
A/A G/− WT/del D/d2 4 0 4
A/A T/T WT/WT d1/d1 0 136 136
A/A T/− WT/del d1/d2 0 327 327
A/A −/− del/del d2/d2 0 822 822
529 1,285 1,814
Animals representing more than 45 breeds were used (Supplementary Table 4).
Del, deletion; WT, wild type.
aOf the 1,285 non-dun horses tested for the deletion, 94 were carefully examined for the
presence of a dorsal stripe. bGenotype inferred from TBX3 genotypes and Dun versus non-dun
phenotype.
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15 6 VOLUME 48 | NUMBER 2 | FEBRUARY 2016 Nature GeNetics
ARTICLES
Dun and non-dun horses was observed for
dorsal midline follicles (Fig. 4a).
To better refine the location of hair bulb
TBX3 expression, we examined its distri-
bution relative to established hair follicle
differentiation markers, including AE13
(cortex, hair cuticle), Ki67 (proliferative
cells), AE15 (medulla, inner root sheath) and
keratin 6 (KRT6; companion cell layer). The
patterns of AE15 and KRT6 immunostain-
ing were very different from that of TBX3
(Supplementary Fig. 6a). TBX3-expressing
cells lay in close proximity to the develop-
ing hair cortex (Fig. 3b and Supplementary Fig. 4a). We observed
no colocalization of TBX3 and AE13 (Supplementary Fig. 6b), but
double immunostaining demonstrated that a subset of Ki67-positive
cells also expressed TBX3 (Fig. 4b). Thus, TBX3 expression occurs
during early differentiation of croup hair follicle keratinocytes but
does not correspond to a known lineage or compartment. Instead,
TBX3 appears to shift the balance between dividing and differentiat-
ing cells, leading to reduced hair bulb volume. Taken together, our
results demonstrate that asymmetric TBX3 expression in hair bulb
keratinocytes from Dun horses leads to asymmetric pigmentation via
altered KITLG expression and that the mutations in non-dun horses
disrupt this mechanism (Fig. 4c).
1,000
800
600
400
200
0
Expression level (normalized counts)
Dun
MITF
SLC7A11
GPR143
ASIP
POMC
EDN3
TAQPEP
TBX3
non-dun
TYR
DCT
MC1R
TRPM1
SLC24A5
MLANA
KIT
OCA2
KITLG
–2 –1 0 1 2
non-dun/Dun log2 (fold change)
D/– TBX3 (green)
Pigment (red)
d1/d1 d2/d2
a b
Dl– MITF (green)
DAPI
(blue)
d2/d2
D/– KIT (green)
DAPI (blue)
D/– KITLG (green)
DAPI (blue)
d2/d2
d2/d2
c
d
e
Figure 3 Differential gene and protein expression
in the croup skin of Dun and non-dun horses.
(a) Transcript levels (normalized gene counts)
plotted as a function of differential expression
(log2-transformed fold change) in Dun (D/−,
n = 7) versus non-dun (d1/d1, n = 3; d2/d2,
n = 6; d1/d2, n = 2) samples. The 57 genes
demonstrating significant (false discovery rate
(FDR) < 0.1) differential expression are shown
in dark yellow (higher expression in Dun) or
red (lower expression in Dun; Online Methods
and Supplementary Table 6); seven additional
pigmentation-related genes that are not
differentially expressed are shown in blue.
(be) Immunofluorescence for TBX3 (green) (b),
MITF (green) (c), KIT (green) (d) and KITLG
(green) (e) in sections of anagen hair follicles from
the croup of Dun/−, non-dun1/non-dun1 and non-
dun2/non-dun2 horses. Pigment is pseudocolored
in b (red). Corresponding bright-field images are
on the right in ce. DAPI staining is in blue in ce,
and white lines indicate the basement membrane.
Each photomicrograph is representative of at least
two individuals of each genotype. Scale bars,
100 µm (be).
Outward
facing
Inward
facing
Percent difference
in area (inward- vs.
outward-facing
hair bulb)
0.2
** TBX3 (green) Ki67 (red) TBX3 (green)
Ki67 (red)
merged
D/– D/– D/–
Croup
Dorsal midline
0.1
0
D/– (n = 4)
d/d (n = 4)
TBX3 in croup
hair bulb cells
KITLG
KITLG
Dun
non-dun
Croup
Melanocyte
migration/
survival
Melanocyte
migration/
survival
TBX3 in croup
hair bulb cells
Dorsal midline
a b
c
Figure 4 Relationship between TBX3
expression and hair follicle symmetry
and differentiation. (a) Left, hair follicle
section stained with hematoxylin and eosin
from Dun croup skin. Black lines outline the
outward-facing and inward-facing halves of
the hair bulb. Right, the percent difference in
area (mean ± s.e.m.) between the outward-
and inward-facing halves of the hair bulb was
calculated for the croup and dorsal midline
from Dun (D/−; n = 4) and non-dun (d/d; n = 4) horses. Bulb area was measured from
at least two serial sections (range of 2–12 sections/follicle) from at least two follicles
(range of 2–7 follicles) per anatomical location. **P = 0.004 for Dun versus non-dun
croup, two-tailed t test. (b) Immunofluorescence for TBX3 (green; left) and Ki67 (red;
center) in a croup hair follicle from a Dun horse. The merged image is on the right; white
lines delineate the basement membrane. Scale bars, 25 µm (a) and 50 µm (b).
(c) Asymmetric expression of TBX3 (green) in hair bulb keratinocytes of Dun croup
hairs impairs the expression of KITLG (red) and melanocyte survival in one-half of
the follicle. Dun croup hairs are asymmetrically pigmented and appear lighter colored
than hairs from the dorsal stripe or from non-dun horses.
npg © 2016 Nature America, Inc. All rights reserved.
Nature GeNetics VOLUME 48 | NUMBER 2 | FEBRUARY 2016 157
ARTICLES
DISCUSSION
The genetics of animal coat color is a longstanding model system
for studying fundamental aspects of gene action and interaction. As
shown here, equine Dun coloration exemplifies a new aspect of pig-
mentary variation with implications for epithelial biology, mamma-
lian evolution and the history of animal domestication.
In contrast to the numerous loss-of-function mutations caus-
ing dilute pigmentation in mice and other vertebrates as a result of
defects in the pigmentary machinery, dilute pigmentation in equids
represents the wild-type state and maintains intact melanogenesis.
The mutations in non-dun horses disrupt this process and, in doing
so, uncover an unexpected mechanism whereby TBX3 regulates
pigment deposition along the radial axis of hair follicles (Fig. 4c).
Regulation of pigment deposition along the longitudinal axis of hair
follicles, controlled by the ASIP gene, underlies color differences
between body regions in many species of mammals. Whereas ASIP
variation affects coat color in horses (Supplementary Fig. 1a), the
longitudinal hair banding mediated by ASIP is largely absent from
equids. Instead, differential expression of TBX3 and its localized
effect on pigment deposition provide an alternative and unexpected
mechanism modulating the appearance of individual hairs in different
regions of the body. From this perspective, TBX3 expression seems
to mark a previously unappreciated hair follicle compartment that is
sensitive to both the microscopic position of cells within individual
follicles (radial asymmetry) and the macroscopic region of the body
(for example, croup versus dorsal stripe).
Hair follicle cells that express TBX3 include keratinocytes of the
cuticle and the hair bulb cortex, but only the latter group is sensitive to
position and controls Dun coloration. These TBX3-expressing cells in
the hair bulb cortex do not correspond to a known cell lineage or differ-
entiation compartment. Instead, they are likely to respond to positional
signals correlated with the direction of hair follicle downgrowth and
bending19, as TBX3 is expressed in the inward-facing half of the hair
follicle where KITLG expression is extinguished and melanocytes are
excluded. However, several observations suggest that the connection
between expression of TBX3 and KITLG in the hair bulb is likely to
be indirect. First, the location of TBX3 immunostaining within the
hair bulb only partially overlap with the location in which KITLG
immunostaining is absent. Second, our histological and morphometric
observations point to altered distributions of hair bulb cell composi-
tion and differentiation rather than just alterations in gene expres-
sion. Finally, existing chromatin immunoprecipitation and sequencing
(ChIP-seq) data for TBX3 do not include potential regulatory regions
for KITLG20. Nonetheless, our data suggest that the most striking effect
of TBX3 expression in hair bulb keratinocytes concerns hair pigmenta-
tion, and, thus, most of the differentially expressed genes we identified
represent differences in melanocyte abundance.
TBX3 is expressed in many cell types and has a critical role during
development5. Our data indicate that the non-dun2 deletion as well as
the non-dun1 allele disrupt the function of a transcriptional enhancer
regulating TBX3 expression in a specific subset of hair bulb kerati-
nocytes during hair growth. This conclusion is based on the clear
difference in TBX3 expression between Dun and non-dun horses,
the high sequence conservation across mammals in the region and
the prediction of transcription factor binding sites affected by the
non-dun mutations. Furthermore, the horse TBX3 mutations appear
to have tissue-specific effects, as neither Dun nor non-dun horses
show any recognized differences in limb development or other
pleiotropic effects outside the hair follicle.
The ability of TBX3 to influence pigmentation by altering hair
bulb keratinocyte differentiation and KITLG expression could
be limited to equids with a last common ancestor present 4.0–4.5
million years ago. Alternatively, a role for TBX3 in hair color may
have a more ancient mammalian origin. Various pigment markings
and patterned coat color dilutions are widely distributed among
Ruminantia (with an origin ~55 million years ago). Animals such
as the wildebeest, eland, okapi, fallow deer and wild goat display
some aspects of coat patterning reminiscent of Dun coloring, and
it will be interesting to investigate the developmental and genetic
basis of these markings. A closely related question within equids has
to do with the potential role of TBX3 in zebra stripes, which could
be viewed as a modification of the Dun phenotype where primitive
markings extend over the entire body and the dilution has become
so pronounced that the hairs are unpigmented. From this perspec-
tive, understanding the spatial control of TBX3 expression in horse
skin, that is, dorsal stripe versus croup, may provide insight into the
etiology of zebra stripes.
The non-dun2 deletion allele has a stronger phenotypic effect than
the non-dun1 allele, exhibits very low nucleotide diversity in flanking
DNA sequences and was not observed outside of domestic horses,
suggesting a relatively recent origin, probably during the last several
thousand years. In contrast, the non-dun1 allele exhibits far greater
nucleotide diversity and is much older. Haplotype comparisons and
breed distribution suggest that the non-dun2 deletion arose on a
non-dun1 chromosome and then increased in frequency, a history
consistent with persistent selection during and after horse domestica-
tion for the non-dun phenotype; in fact, selection against camouflage
color is likely an important reason for changes in coat color during
animal domestication21.
Additional studies of ancient horse DNA should help to more
precisely date the origin of the non-dun1 allele, but its presence in
a ~43,000-year-old sample is consistent with other work inferring
that multiple color morphs existed in predomestic horses22, pointing
toward a hybrid origin of the domestic horse. The major contribu-
tion to horse domestication may have occurred from a population
carrying the non-dun1 allele at high frequency, potentially the same
population as the now extinct tarpan (Equus ferus ferus). Indeed,
the ~43,000-year-old horse from the Taymyr peninsula carr ying
non-dun1 belonged to a population that contributed substantially
to the domestic horse lineage10. Conversely, a predominantly Dun
population, the ancestor of Przewalski’s horse or a close relative, could
have made a minor contribution to domestic horses, as suggested by
the low diversity observed among domestic horse Dun chromosomes.
This idea can be further explored with additional ancient horse DNA
samples spanning a large temporal and geographic range.
URLs. Picard, http://broadinstitute.github.io/picard/; Genome
Analysis Toolkit (GATK) wiki, http://www.broadinstitute.org/gsa/
wiki/index.php/The_Genome_Analysis_Toolkit; ImageJ, http://
imagej.nih.gov/ij/.
METHODS
Methods and any associated references are available in the online
version of the paper.
Accession codes. Data from sequence capture and whole-genome
resequencing have been deposited in GenBank under BioProject
PRJNA277815. Sanger sequences of the non-dun2 deletion have been
submitted to GenBank with accessions KT896508KT896515.
Note: Any Supplementary Information and Source Data files are available in the
online version of the paper.
npg © 2016 Nature America, Inc. All rights reserved.
15 8 VOLUME 48 | NUMBER 2 | FEBRUARY 2016 Nature GeNetics
ACKNOWLEDGMENTS
We thank the numerous horse owners who provided samples, T. Raudsepp and
I. Randlaht for samples from Estonian native horses, C. Asa and M. Fischer
(St. Louis Zoo) and F. Marshall for providing hair samples from the Somali wild
ass, W. Zimmerman for photographs of Przewalski’s horse, S. Fard, H. Ring and
F. Hallböök for advice on histological characterization, O. Ryder, L. Chemnick and
C. Steiner for delivering DNA extracts from Przewalski’s horses, C. Der Sarkissian
and L. Ermini for assistance in whole-genome resequencing at the Centre for
GeoGenetics, Denmark, and the HudsonAlpha Genomic Services Laboratory for
RNA-seq. This work was supported by grants from the Knut and Alice Wallenberg
foundation (to L.A.) and the US National Institutes of Health (to G.S.B.), as well as
by an Erasmus Mundus fellowship within the framework of the European Graduate
School of Animal Breeding and Genetics (to D.S.). Sequencing was performed
by the SNP&SEQ Technology Platform, supported by Uppsala University and
Hospital, the Science for Life Laboratory and the Swedish Research Council
(80576801 and 70374401).
AUTHOR CONTRIBUTIONS
L.A. led the genetic characterization and G.S.B. led the RNA-seq and
immunohistochemistry studies. F.I., P.I., K.M. and M.C.T.P. did the sampling.
F.I. was responsible for phenotyping and carried out genotyping together with
U.G., L.M. and M.C.T.P. K.M. performed immunohistochemistry analysis. C.H.
performed RNA-seq analysis. C.-J.R., F.I., J.B., M.S. and L.O. were responsible for
genome sequence analysis. E.S. analyzed transcription factor binding sites. D.S.
contributed to TBX3 expression analysis. F.I., L.A., M.C.T.P., K.L.-T., G.L., S.M.
and C.W. took part in the initial mapping of Dun. L.A., F.I., K.M., C.H. and G.S.B.
wrote the manuscript with input from other authors. All authors approved the
manuscript before submission.
COMPETING FINANCIAL INTERESTS
The authors declare no competing financial interests.
Reprints and permissions information is available online at http://www.nature.com/
reprints/index.html.
1. Wade, C.M. et al. Genome sequence, comparative analysis, and population genetics
of the domestic horse. Science 326, 865–867 (2009).
2. Orlando, L. et al. Recalibrating Equus evolution using the genome sequence of an
early Middle Pleistocene horse. Nature 499, 74–78 (2013).
3. Bowling, A.T. & Ryder, O.A. Genetic studies of blood markers in Przewalski’s horses.
J. Hered. 78, 75–80 (1987).
4. Adalsteinsson, S. Inheritance of yellow dun and blue dun in the Icelandic toelter
horse. J. Hered. 69, 146–148 (1978).
5. Bamshad, M. et al. Mutations in human TBX3 alter limb, apocrine and genital
development in ulnar-mammary syndrome. Nat. Genet. 16, 311–315 (1997).
6. Frank, D.U., Emechebe, U., Thomas, K.R. & Moon, A.M. Mouse TBX3 mutants
suggest novel molecular mechanisms for Ulnar-mammary syndrome. PLoS One 8,
e67841 (2013).
7. Kumar, P.P. et al. TBX3 regulates splicing in vivo: a novel molecular mechanism
for Ulnar-mammary syndrome. PLoS Genet. 10, e1004247 (2014).
8. Gremmel, F. Coat colors in horses. J. Hered. 30, 437–445 (1939).
9. Andersson, L.S. et al. Mutations in DMRT3 affect locomotion in horses and spinal
circuit function in mice. Nature 488, 642–646 (2012).
10. Schubert, M. et al. Prehistoric genomes reveal the genetic foundation and
cost of horse domestication. Proc. Natl. Acad. Sci. USA 111, E5661–E5669
(2014).
11. Thomas-Chollier, M. et al. Transcription factor binding predictions using TRAP for
the analysis of ChIP-seq data and regulatory SNPs. Nat. Protoc. 6, 1860–1869
(2011).
12. Ma, L. et al. ‘Cyclic alopecia’ in Msx2 mutants: defects in hair cycling and hair
shaft differentiation. Development 130, 379–389 (2003).
13. Kayserili, H. et al. ALX4 dysfunction disrupts craniofacial and epidermal
development. Hum. Mol. Genet. 18, 4357–4366 (2009).
14. Reginelli, A.D., Wang, Y.Q., Sassoon, D. & Muneoka, K. Digit tip regeneration
correlates with regions of Msx1 (Hox 7) expression in fetal and newborn mice.
Development 121, 1065–1076 (1995).
15. Satokata, I. et al. Msx2 deficiency in mice causes pleiotropic defects in bone growth
and ectodermal organ formation. Nat. Genet. 24, 391–395 (2000).
16. Steingrímsson, E., Copeland, N.G. & Jenkins, N.A. Melanocytes and the
microphthalmia transcription factor network. Annu. Rev. Genet. 38, 365–411
(2004).
17. Kunisada, T. et al. Transgene expression of steel factor in the basal layer of epidermis
promotes survival, proliferation, differentiation and migration of melanocyte
precursors. Development 125, 2915–2923 (1998).
18. Yoshida, H. et al. Review: melanocyte migration and survival controlled by SCF/c-kit
expression. J. Investig. Dermatol. Symp. Proc. 6, 1–5 (2001).
19. St-Jacques, B. et al. Sonic hedgehog signaling is essential for hair development.
Curr. Biol. 8, 1058–1068 (1998).
20. van den Boogaard, M. et al. Genetic variation in T-box binding element functionally
affects SCN5A/SCN10A enhancer. J. Clin. Invest. 122, 2519–2530 (2012).
21. Fang, M., Larson, G., Ribeiro, H.S., Li, N. & Andersson, L. Contrasting mode of
evolution at a coat color locus in wild and domestic pigs. PLoS Genet. 5, e1000341
(2009).
22. Pruvost, M. et al. Genotypes of predomestic horses match phenotypes painted in
Paleolithic works of cave art. Proc. Natl. Acad. Sci. USA 108, 18626–18630
(2011).
ARTICLES
npg © 2016 Nature America, Inc. All rights reserved.
Nature GeNetics
doi:10.1038/ng.3475
ONLINE METHODS
Animals and phenotyping. We obtained extracted DNA, hair or blood
samples collected by authors and collaborators, provided by horse owners,
with permission from the St. Louis Zoo, or archived at the Veterinary Genetics
Laboratory (University of California, Davis), the Animal Genetics Laboratory
(Swedish University of Agricultural Sciences, Sweden) or the Smithsonian
National Museum of Natural History. DNA was extracted from samples fol-
lowing standard methods. DNA from the CITES protected Przewalski’s horse
was transferred from the Zoological Society of San Diego to the Centre for
GeoGenetics to perform high-throughput sequencing analyses under biomate-
rial request BR2013045.
Skin plug biopsies were collected from horses in Iceland by practicing
veterinarians. Local anesthetic was given to the horses before biopsy extrac-
tion. Punch biopsies were taken from the dorsal midline on the hindquarters,
sampling the dorsal stripe if present, and from the croup a few centimeters
lateral to the sampling on the dorsal midline, beyond the area in which a
dorsal stripe is present in Dun horses. The samples from beyond the dorsal
midline are referred to as croup samples. Anatomical locations of sampling
are indicated in Supplementar y Figure 2a.
Dun phenotypes were assigned by visual assessment of live individuals or
photographs; in some instances, Dun phenotypes were assigned on the basis of
owner assessment and/or breed criteria. The Dun coat color is characterized by
specific patterns of intensely pigmented markings on a diluted background. These
specific patterns can be broken down into elements, which can occur in different
combinations. Some elements are rare in general but common in certain breeds.
Other elements, such as the dorsal stripe, are nearly universal. The dorsal stripe
is an intensely pigmented stripe extending from the forehead, along the dorsal
midline all the way down to the tip of the horse’s tail. A non-exhaustive list of
other Dun pattern elements includes ear markings, dark legs, leg barring, shoul-
der crosses, neck or shoulder shadows, dark facial masks, eye shadows, darkly
pigmented areas around vibrissae, dorsal barbs, cobwebbing on the forehead, and
netting on the neck, shoulder and flank (Supplementary Fig. 1b).
non-dun horses carrying the non-dun1 allele often show primitive markings
in the absence of marked color dilution. As the body hair color of non-dun
horses is much darker than that of Dun horses, these markings can be faint.
Furthermore, the base color of the individual horse affects the visibility of
primitive markings. A horse with primarily red body color, such as a chestnut
or a red bay, will show such markings more readily than a horse with prima-
rily black body pigmentation, such as a black bay or black horse, as the visual
intensity of black pigment is greater than that of red.
Dun is dominant to non-dun1 and to non-dun2, that is, Dun/Dun, Dun/
non-dun1 and Dun/non-dun2 horses are phenotypically identical. However,
the effects of the non-dun1 allele are not as strong as those of the non-dun2
allele. Cross-sections of croup hairs from non-dun1/non-dun1 or non-dun1/
non-dun2 horses exhibit some asymmetry in pigment deposition, although
not nearly as great as in Dun/− horses (Fig. 1a,b and Supplementary Fig. 2a).
Likewise, primitive markings in non-dun1/non-dun1 horses are usually more
pronounced than in non-dun1/non-dun2 horses (Supplementary Fig. 2b,c).
Initial SNP association analysis. Twenty-seven SNPs were genotyped across
the region ECA8: 18,061,745–18,482,196 in 366 individuals from 19 breeds,
including Przewalski’s horses. Ninety-six individuals were homozygous Dun,
111 were heterozygous Dun/non-dun and 159 were homozygous non-dun.
Genotyping was performed on the Sequenom platform. Primers and probes
were designed in a multiplex format using SpectroDESIGNER software
(Sequenom). Assay amplification was performed as previously described23.
Statistical evaluation of data was carried out using Haploview24.
Targeted resequencing. Two Dun individuals, an Icelandic horse and a
Quarter Horse, were chosen for massively parallel resequencing of the Dun
region. Both were known to be homozygous for Dun on the basis of offspring
data. Five non-dun horses were also included: an Appaloosa, an Arabian, a
Knabstrupper, a Lipizzaner and a Noriker. NimbleGen Sequence Capture
Arrays (Roche NimbleGen) were designed to target the 200-kb region on
horse chromosome 8 harboring the Dun locus. Targeted resequencing was per-
formed as described25. Subsequent to the discovery of the non-dun2 deletion,
sequence for the deletion was obtained via Sanger sequencing for these seven
individuals. Primer sequences are given in Supplementary Table 7.
Genome resequencing. DNA samples from two Icelandic horses, one Dun
heterozygote and one non-dun homozygote, were prepared for whole-genome
sequencing as part of our previous study on the Gait-keeper mutation9. Initially,
these two samples were aligned to the horse reference assembly (EquCab2.0).
Following the detection of the deletion in non-dun2, we added Sanger-derived
sequence from a Dun chromosome (GenBank, KT896508KT896515) to the
EquCab2 chromosome 8 sequence for bases chr. 8: 18,227,267–18,227,279,
thereby creating an alternative assembly in silico (EquCab2.0-Dun), which
was used for all subsequent alignment steps.
Whole-genome sequencing was carried out using 2 × 100-bp paired-end
libraries on an Illumina HiSeq instrument at the SciLifeLab Illumina platform,
with insert sizes ranging between approximately 200 and 600 bases, to generate
approximately 6–10× coverage. The reads from both targeted resequencing and
whole-genome sequencing (BioSample accession numbers SAMN03396927
SAMN03396975; Supplementary Table 2) were mapped to EquCab2.0-Dun
using Burrows-Wheeler Aligner (BWA)2 6. PCR duplicates were removed
using Picard. SNPs and small insertion-deletions were called from mapping
data using the Genome Analysis Toolkit (GATK)27 UnifiedGenotyper com-
mand after having performed realignment around indels. Sequence variants
were collected for EquCab2.0-Dun chromosome 8: 18,120,000–18,322,000.
The variant calls were subjected to recommended filters for SNPs listed on
the GATK wiki page.
Sequences with BioSample accession numbers SAMN04002334
SAMN04002382 (Supplementary Table 2) had their reads mapped to a seg-
ment of chromosome 8 of the EquCab2.0-Dun hybrid assembly, using the
PALEOMIX pipeline28, omitting mapping quality checks and PCR duplicate fil-
tering. Sequencing reads were first trimmed using AdapterRemoval v.1 (ref. 29).
All mapped reads were then collected and converted from BAM records to
FASTQ reads. Next, the reads were remapped against the full EquCab2.0-
Dun genome using the PALEOMIX pipeline28, filtering for mapping quality
(MAPQ 25), removing PCR duplicates and realigning around indels. Paired
mates were kept in pairs if both mates were found among the alignments and
orphaned mates were treated as single-end reads during remapping. Finally,
all hits mapping to the region EquCab2.0-Dun chr. 8: 18,120,000–18,322,000
were collected. This procedure, which first identifies candidate hits against
the target region and then checks whether better alignment exists somewhere
else in the genome, was devised to avoid remapping the whole set of reads
(comprising several billion reads per individual). The software ANNOVAR30
was used to annotate SNPs in relation to Ensembl genes.
SNP genotyping using BeadXpress. A VeraCode GoldenGate assay (Illumina)
was designed targeting 384 SNPs that were called in the resequencing samples.
A total of 200 domestic horses, one Przewalski’s horse and five other equids
were genotyped using the standard protocol. The GoldenGate assays were
read using a BeadXpress Reader (Illumina), and data were analyzed on
GenomeStudio v2011.1 software (Illumina). SNPs located outside the
non-dun2 deletion with a call rate of less than 80% (17 SNPs) or invariable in
typed individuals (one SNP) were excluded from the analysis. The three SNPs
within the deleted region had a call rate of 67–68%, consistent with one-third
of the samples being homozygous for the non-dun2 deletion. All samples used
had call rates of no less than 97% (domestic horses) or 90% (other equids).
In-depth SNP association analysis. Phenotypic association tests assuming
dominant inheritance of the Dun phenotype were carried out with PLINK31
using Fisher’s exact test. SNP genotypes from the GoldenGate assay were
combined with genotypes for those particular SNPs from the resequencing
data. Candidate SNPs were selected on the basis of allele frequencies of more
than 50% in Dun individuals (dominant trait) and less than 5% in non-dun
individuals (erroneous calls) (Supplementary Table 3).
A similar analysis was performed on SNP calls from the resequencing
experiments. Over 5,000 SNPs from the interval chr. 8: 18,119,043–18,321,208
passed quality filtering criteria of quality over 100, genotype quality higher
than 9 and proportion of missing genotypes across samples less than 0.2.
npg © 2016 Nature America, Inc. All rights reserved.
Nature GeNetics doi:10.1038/ng.3475
SNPs at positions 18,276,126, 18,276,338 and 18,277,478 on chromosome 8
showed strong association with the Dun phenotype in the resequencing data.
The SNPs at 18,276,338 and 18,277,478 on chromosome 8 were included in the
GoldenGate assay (Supplementary Table 3). All three SNPs were genotyped via
Sanger sequencing for a family of three recombinant Dun Icelandic horses, which
excluded them as causal. Primer sequences are given in Supplementary Table 7.
Haplotype diversity analysis. To calculate diversity, all screened SNPs from
the GoldenGate assay were phased with SHAPEIT2 (ref. 32; using 100 burn-in
iterations, 100 pruning iterations, 100 main iterations and 1,000 conditioning
states per SNP, effective population size of 100 and recombination parameter
rho of 0.001) and had haplotypes inferred according to genotype at SNP1,
SNP2 and the deletion. Average nucleotide diversity per polymorphic site
was calculated for each of the Dun, non-dun1 and non-dun2 haplotypes as
2 × f1 × f2 × n/(n − 1), where f denotes allele frequency and n the total number
of alleles.
Genotyping of Dun, non-dun1 and non-dun 2 alleles. DNA samples from
horses of various breeds were genotyped for the Dun, non-dun1 and non-dun2
alleles. The non-dun2 deletion was typed by standard agarose or capillary (ABI
3730 DNA Analyzer, Applied Biosystems) electrophoresis for detection of the
amplification length polymorphism. Betaine or DMSO additives were required
for successful PCR amplification. SNP2 was genotyped by pyrosequencing on
PSQ 96MA 2.1 and PyroMark Q96 MD instruments (Qiagen) according to the
manufacturer’s recommendations. SNP1 was genotyped with pyrosequencing
or with a TaqMan allelic discrimination assay on a 7900HT Fast Real-Time
PCR system (Applied Biosystems) according to the manufacturer’s instruc-
tions. Primer sequences are given in Supplementary Table 7.
Expression analysis. Punch biopsies of skin from the croup and dorsal midline
of 18 horses (seven Dun and 11 non-dun) were collected. The samples were
preserved in RNAlater and stored at −80 °C before processing. Total RNA was
isolated from skin biopsies using the RNeasy Fibrous Tissue Mini kit (Qiagen).
RNA quality was assessed with an Agilent Bioanalyzer instrument. All samples
had an RNA integrity number (RIN) greater than 7.0. cDNA libraries were
further prepared for each sample using Illumina’s TruSeq RNA Sample
Preparation Kit v2. Individual libraries were multiplexed, six per lane, and
sequenced as single-end 50-bp reads on an Illumina HiSeq 2000 instrument
at the Genome Sequencing Laboratory of the HudsonAlpha Institute.
RNA-seq reads obtained for each sample were aligned against the horse
reference genome with TopHat2 software (v. 2.0.12), using genomic sequence
and transcript annotations obtained from Ensembl (release 75). Gene
counts were computed from read alignments with GenomicRanges and
GenomicFeatures packages from Bioconductor (release 2.14) and then used
to test for differential gene expression between Dun and non-dun skin samples
with the DESeq2 package from Bioconductor. DESeq2 relies on negative bino-
mial generalized linear models to determine whether the number of counts
for a transcript or gene is significantly different across a range of experimental
conditions. To account for expression changes related to differences in the
base coat color (black, bay or chestnut; Supplementary Fig. 1a) of different
samples rather than the presence of the Dun allele, we included base coat color
as a covariate in the generalized linear model.
RT-qPCR for TBX3, TBX5 and KITLG. Total RNA for RT-qPCR was isolated
from skin biopsies using TRIzol (Invitrogen Life Technologies), purified using
the PureLink RNA Mini kit (Ambion) and treated with DNase I (Invitrogen
Life Technologies) before reverse transcription with Superscript III (Invitrogen
Life Technologies). cDNA was amplified using the LightCycler FastStart DNA
Master Plus SYBR Green I System (Roche Diagnostics). β2-microglobulin
(B2M) was used to compare relative levels of mRNA. Primer sequences are
given in Supplementary Table 7.
Histology and immunofluorescence. Skin samples were fixed in 4% para-
formaldehyde, washed in PBS, dehydrated and embedded in paraffin. Five-
micrometer sections of hair, croup skin and dorsal midline skin were stained
with hematoxylin and eosin. ImageJ was used to measure hair bulb area and
hair color intensity. Color intensity was measured at six points across the
diameter of the hair cortex and averaged for each hair. Hair color intensity
measurements were taken from at least five hairs from each genotype.
Immunofluorescence was carried out with goat antibody to TBX3 (Santa Cruz
Biotechnology, sc-17871), mouse antibody to MITF (Abcam, ab12039), rabbit
antibody to SCF (KITLG; Abcam, ab64677), mouse antibody to AE13 (Abcam,
ab16113), rabbit antibody to Ki67 (Abcam, ab15580), mouse antibody to AE15
(Abcam, ab58755), rabbit antibody to KRT6 (Abcam, ab24646) and rabbit
antibody to KIT (Dako, A4502) after antigen retrieval using Tris-EDTA, pH
9 (TBX3) or 0.01 M citrate buffer, pH 6 (MITF, KITLG, AE13, Ki67, AE15,
KRT6 and KIT) in a pressure cooker. All photomicrographs are representative
of at least two animals of each genotype and anatomical location.
23. Gabriel, S.B. et al. The structure of haplotype blocks in the human genome. Science
296, 2225–2229 (2002).
24. Barrett, J.C., Fry, B., Maller, J. & Daly, M.J. Haploview: analysis and visualization
of LD and haplotype maps. Bioinformatics 21, 263–265 (2005).
25. Sundström, E. et al. Copy number expansion of the STX17 duplication in melanoma
tissue from Grey horses. BMC Genomics 13, 365 (2012).
26. Li, H. & Durbin, R. Fast and accurate short read alignment with Burrows-Wheeler
transform. Bioinformatics 25, 1754–1760 (2009).
27. DePristo, M.A. et al. A framework for variation discovery and genotyping using
next-generation DNA sequencing data. Nat. Genet. 43, 491–498 (2011).
28. Schubert, M. et al. Characterization of ancient and modern genomes by SNP
detection and phylogenomic and metagenomic analysis using PALEOMIX.
Nat. Protoc. 9, 1056–1082 (2014).
29. Lindgreen, S. AdapterRemoval: easy cleaning of next-generation sequencing reads.
BMC Res. Notes 5, 337 (2012).
30. Wang, K., Li, M. & Hakonarson, H. ANNOVAR: functional annotation of genetic variants
from high-throughput sequencing data. Nucleic Acids Res. 38, e164 (2010).
31. Purcell, S. et al. PLINK: a tool set for whole-genome association and population-
based linkage analyses. Am. J. Hum. Genet. 81, 559–575 (2007).
32. Delaneau, O., Marchini, J. & Zagury, J.-F. A linear complexity phasing method for
thousands of genomes. Nat. Methods 9, 179–181 (2012).
npg © 2016 Nature America, Inc. All rights reserved.
... Over time, selective breeding by humans has emphasized not only functionality and temperament but also aesthetically striking coat colors, which have been extensively studied at the genetic level [5]. Dun coat color is a wild-type trait characterized by a diluted body color and distinctive dark patterns known as primitive markings [6]. These markings include leg stripes, shoulder stripes/shading, dorsal stripes, and facial masks, which are rare in modern domestic horses but commonly found in indigenous and wild-type horses [6][7][8][9]. ...
... Dun coat color is a wild-type trait characterized by a diluted body color and distinctive dark patterns known as primitive markings [6]. These markings include leg stripes, shoulder stripes/shading, dorsal stripes, and facial masks, which are rare in modern domestic horses but commonly found in indigenous and wild-type horses [6][7][8][9]. Among these primitive patterns, the Bider marking stands out as a unique, irregular black-mottled pattern observed exclusively on the shoulder blades of dun Mongolian horses and Przewalski's horses [7,10]. ...
... Genes 2024, 15, x FOR PEER REVIEW 2 of 10 [6][7][8][9]. Among these primitive patterns, the Bider marking stands out as a unique, irregular black-mottled pattern observed exclusively on the shoulder blades of dun Mongolian horses and Przewalski's horses [7,10]. ...
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Background/Objectives: The Mongolian horse, one of the oldest and most genetically diverse breeds, exhibits a wide variety of coat colors and patterns, including both wild-type and unique features. A notable characteristic of dun Mongolian horses is the presence of Bider markings—symmetrical, black-mottled patterns observed on the shoulder blades. These markings are also seen in Przewalski’s horses. The dun coat color, a common wild-type phenotype in domestic horses, is characterized by pigment dilution with distinct dark areas and is regulated by mutations in the TBX3 gene. This study aimed to investigate the role of TBX3 in the development of Bider markings in dun Mongolian horses. Methods: Skin tissue samples were collected from three key anatomical regions of dun Mongolian horses with Bider markings: the croup, dorsal midline, and shoulder. Histological staining was conducted to examine the skin and hair follicle structure and pigment distribution. RT-qPCR was used to measure TBX3 mRNA expression, while immunoblotting and immunohistochemistry were employed to analyze TBX3 protein levels and localization. Results: Hematoxylin and eosin staining revealed the skin and hair follicle structures, including the epidermis, hair shaft, and hair bulb across different stages of the hair growth cycle. Differences in pigmentation were observed across the sampling sites. The croup and the light-colored area of the shoulder showed asymmetrical pigmentation, while the dorsal midline and dark-colored area of the shoulder displayed symmetrical pigmentation. TBX3 mRNA expression levels were significantly higher in the croup compared to the shoulder and dorsal midline; however, corresponding TBX3 protein expression did not show significant differences. Immunohistochemical analysis localized TBX3 protein predominantly in the hair bulb and epidermis. Conclusions: This study demonstrates region-specific differences in TBX3 expression that correlate with pigmentation patterns in dun Mongolian Bider horses. These findings provide valuable insights into the molecular mechanisms underlying Bider markings, offering a deeper understanding of the genetic regulation of coat color and primitive markings in equines.
... T he causal mutation of the non-Dun phenotype in donk e ys is a 1-bp deletion with a probable regulatory effect. Similarly, in horses, the non-Dun phenotype is explained by 2 deletions with regulatory effects [ 155 ]. In another study, Lopes et al. [ 156 ] provided evidence that the y ello w and red plumage pigmentation of canaries and finches is caused by C(4)-oxygenation of carotenoids by the cytoc hr ome P450 enzyme CYP2J19 . ...
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Introduction The blue peafowl (Pavo cristatus) and the green peafowl (Pavo muticus) have garnered significant public affection due to their stunning appearance, although the green peafowl is currently endangered. The causative mutation that causes the leucistic plumage of the blue peafowl (also called white peafowl) remains unknown. Results In this study, we generated a chromosome-level reference genome of the blue peafowl with a contig N50 of 30.6 Mb, including the autosomes, Z and W sex chromosomes, and a complete mitochondria DNA sequence. Data from 77 peafowl whole genomes, 76 peafowl mitochondrial genomes, and 33 peafowl W chromosomes genomes provided the first substantial genetic evidence for recent hybridization between green peafowls and blue peafowls. We found 3 hybrid green peafowls in zoo samples rather than in the wild samples, with a blue peafowl genomic content of 16–34%. Maternal genetic analysis showed that 2 of the hybrid female green peafowls contained complete blue peafowl mitochondrial genomes and W chromosomes. Some animal protection agencies release captive green peafowls in order to maintain the wild population of green peafowls. Therefore, to better protect the endangered green peafowl, we suggest that purebred identification must be carried out before releasing green peafowls from zoos into the wild in order to prevent the hybrid green peafowl from contaminating the wild green peafowl. In addition, we also found that there were historical introgression events of green peafowl to blue peafowl in 4 zoo blue peafowl individuals. The introgressed genomic regions contain IGFBP1 and IGFBP3 genes that could affect blue peafowl body size. Finally, we identified that the nonsense mutation (g.4:12583552G>A) in the EDNRB2 gene is the genetic causative mutation for leucistic plumage of blue peafowl, preventing melanocytes from being transported into plumage, thereby inhibiting melanin deposition. Conclusion Our research provides both theoretical and empirical support for the conservation of the endangered green peafowl. The high-quality genome and genomic data also provide a valuable resource for blue peafowl genomics-assisted breeding.
... Additionally, a prominent signature on ECA8, harbouring the TBX3 and TBX5 genes, was observed for this breed. While TBX3 controls dun coat colour [101], the rarity of dun-coloured Exmoor ponies suggests that the signature likely reflects the high prevalence of the non-dun alleles in the gene. ...
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Background The Icelandic horse and Exmoor pony are ancient, native breeds, adapted to harsh environmental conditions and they have both undergone severe historic bottlenecks. However, in modern days, the selection pressures on these breeds differ substantially. The aim of this study was to assess genetic diversity in both breeds through expected (HE) and observed heterozygosity (HO) and effective population size (Ne). Furthermore, we aimed to identify runs of homozygosity (ROH) to estimate and compare genomic inbreeding and signatures of selection in the breeds. Results HO was estimated at 0.34 and 0.33 in the Icelandic horse and Exmoor pony, respectively, aligning closely with HE of 0.34 for both breeds. Based on genomic data, the Ne for the last generation was calculated to be 125 individuals for Icelandic horses and 42 for Exmoor ponies. Genomic inbreeding coefficient (FROH) ranged from 0.08 to 0.20 for the Icelandic horse and 0.12 to 0.27 for the Exmoor pony, with the majority of inbreeding attributed to short ROHs in both breeds. Several ROH islands associated with performance were identified in the Icelandic horse, featuring target genes such as DMRT3, DOCK8, EDNRB, SLAIN1, and NEURL1. Shared ROH islands between both breeds were linked to metabolic processes (FOXO1), body size, and the immune system (CYRIB), while private ROH islands in Exmoor ponies were associated with coat colours (ASIP, TBX3, OCA2), immune system (LYG1, LYG2), and fertility (TEX14, SPO11, ADAM20). Conclusions Evaluations of genetic diversity and inbreeding reveal insights into the evolutionary trajectories of both breeds, highlighting the consequences of population bottlenecks. While the genetic diversity in the Icelandic horse is acceptable, a critically low genetic diversity was estimated for the Exmoor pony, which requires further validation. Identified signatures of selection highlight the differences in the use of the two breeds as well as their adaptive trait similarities. The results provide insight into genomic regions under selection pressure in a gaited performance horse breed and various adaptive traits in small-sized native horse breeds. This understanding contributes to preserving genetic diversity and population health in these equine populations.
... It should be noted that the other genes, for instance, responsible for formation of spots, stripes, and other markings, might have effects on the equine coat color patterns [8]. However, genes MC1R and ASIP matter in this process. ...
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Horses’ coat color has been a subject of interest due to its aesthetic appeal and importance as a cri terion for breed identification. Understanding the genetic mechanisms underlying the coat color variations is very important for horse breeders and geneticists. The purpose of the research is to study the effects of polymorphisms of the MC1R and ASIP genes on the coat color of Kabardian horses. The frequencies of occurrence of various alleles and genotypes affecting the equine coat colors and patterns were calculated based on the results of genotyping 127 Kabardian horses for the MC1R and ASIP genes. A statistical analysis was performed to reveal any relationships between them. The Kabardian horses exhibit a diverse array of coat colors, including black-and-bay, black, bay, dark bay, and gray. The majority of the horses surveyed (96.9%) were found to have the dominant allele E of the MC1R gene, associated with the eumelanin synthesis and the darker coat color. The frequency of occurrence of genotype A/A of the ASIP gene tended to increase with the base coat color growing lighter, reaching 0.0, 9.5, 56.6, and 84.8% for black, black-and-bay, dark bay, and bay coat colors, respectively. The mutant allele a frequency made up 0.280. In general, it contributed to the occurrence of the black coat color in Kabardian horses. The outcomes of the research study can contribute to insights into understanding the genetic mechanisms underlying the coat color variations in equine populations.
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The coat color of horses is of considerable interest due to its aesthetic appeal and significance in breed identification. Understanding the genetic mechanisms underlying coat color variation is important for horse breeders and geneticists. The purpose of the study is to study the influence of polymorphism of the MC1R and ASIP genes on the coat color of Kabardian horses, a unique domestic breed. The proposal is not agreed upon, the idea is not clear. Why was the research done? Based on the results of genotyping 127 horses of the Kabardian breed using the MC1R and ASIP genes, the frequencies of various alleles and genotypes on which the color of the animals depends were determined. Statistical analysis was carried out to determine the relationship between them. Kabardian horses are characterized by a wide range of colors, including karak, black, bay, dark bay and gray. The majority of the horses studied (96.9 %) were found to have a dominant allele E of the MC1R gene, associated with the synthesis of eumelanin and darker coat color. The frequency of the A/A genotype of the ASIP gene increased as the coat color lightened: black – 0.0 %, karak – 9.5 %, dark bay – 56.6 %, bay – 84.8 %. The frequency of the mutant allele a was 0.280. In general, it contributed to the formation of black coat color in Kabardian horses. The results of the study provide insight into the relationship of the MC1R and ASIP genes with the formation of coat colors in Kabardian horses. These results have practical implications for horse breeders when selecting individuals for crossbreeding and contribute to the understanding of the genetic mechanisms underlying variation in coat color within horse populations.
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A critical question in biology is how new traits evolve, but studying this in wild animals remains challenging. Here, we probe the genetic basis of trait gain in sea robin fish, which have evolved specialized leg-like appendages for locomotion and digging along the ocean floor. We use genome sequencing, transcriptional profiling, and interspecific hybrid analysis to explore the molecular and developmental basis of leg formation. We identified the ancient, conserved transcription factor tbx3a as a major determinant of sensory leg development. Genome editing confirms that tbx3a is required for normal leg formation in sea robins, and for formation of enlarged central nervous system lobes, sensory papillae, and adult digging behavior. Our study establishes sea robins as a model organism for studying the evolution of major trait gain and illustrates how ancient developmental control genes can underlie novel organ formation.
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В статье дается характеристика масти лошадей вятской породы в микроэволюционном аспекте и рассматривается особенность генетического типирования масти вятских лошадей. The article describes horse colour of Vyatskaya breed in microevolution aspect and considers the peculiatities of genetic typing of the colour of Vyatskaya breed of horses.
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Significance The domestication of the horse revolutionized warfare, trade, and the exchange of people and ideas. This at least 5,500-y-long process, which ultimately transformed wild horses into the hundreds of breeds living today, is difficult to reconstruct from archeological data and modern genetics alone. We therefore sequenced two complete horse genomes, predating domestication by thousands of years, to characterize the genetic footprint of domestication. These ancient genomes reveal predomestic population structure and a significant fraction of genetic variation shared with the domestic breeds but absent from Przewalski’s horses. We find positive selection on genes involved in various aspects of locomotion, physiology, and cognition. Finally, we show that modern horse genomes contain an excess of deleterious mutations, likely representing the genetic cost of domestication.
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Author Summary TBX3 is a protein with essential roles in development and tissue homeostasis, and is implicated in cancer pathogenesis. TBX3 mutations in humans cause a complex of birth defects called Ulnar-mammary syndrome (UMS). Despite the importance of TBX3 and decades of investigation, few TBX3 partner proteins have been identified and little is known about how it functions in cells. Unlike previous investigations focused on TBX3 as DNA binding factor that represses transcription, we took an unbiased approach to identify TBX3 partner proteins in mouse embryos and human cells. We discovered that TBX3 interacts with RNA binding proteins and binds mRNAs to regulate how they are spliced. The different mutations seen in human UMS patients produce mutant proteins that interact with different partners and have different splicing activities. TBX3 promotes or inhibits splicing depending on cellular context, its partner proteins, and the target mRNA. Eukaryotic cells have many more proteins than genes: alternative splicing is critical to generate the different mRNAs needed for production of the specific and vast repertoire of proteins a cell produces. Our finding that TBX3 regulates this process provides fundamental new insights into how altered quantity and molecular function of TBX3 contribute to human developmental disorders and cancer.
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The transcription factor TBX3 plays critical roles in development and TBX3 mutations in humans cause Ulnar-mammary syndrome. Efforts to understand how altered TBX3 dosage and function disrupt the development of numerous structures have been hampered by embryonic lethality of mice bearing presumed null alleles. We generated a novel conditional null allele of Tbx3: after Cre-mediated recombination, no mRNA or protein is detectable. In contrast, a putative null allele in which exons 1-3 are deleted produces a truncated protein that is abnormally located in the cytoplasm. Heterozygotes and homozygotes for this allele have different phenotypes than their counterparts bearing a true null allele. Our observations with these alleles in mice, and the different types of TBX3 mutations observed in human ulnar-mammary syndrome, suggest that not all mutations observed in humans generate functionally null alleles. The possibility that mechanisms in addition to TBX3 haploinsufficiency may cause UMS or other malformations merits investigation in the human UMS population.
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The rich fossil record of equids has made them a model for evolutionary processes. Here we present a 1.12-times coverage draft genome from a horse bone recovered from permafrost dated to approximately 560-780 thousand years before present (kyr bp). Our data represent the oldest full genome sequence determined so far by almost an order of magnitude. For comparison, we sequenced the genome of a Late Pleistocene horse (43 kyr bp), and modern genomes of five domestic horse breeds (Equus ferus caballus), a Przewalski's horse (E. f. przewalskii) and a donkey (E. asinus). Our analyses suggest that the Equus lineage giving rise to all contemporary horses, zebras and donkeys originated 4.0-4.5 million years before present (Myr bp), twice the conventionally accepted time to the most recent common ancestor of the genus Equus. We also find that horse population size fluctuated multiple times over the past 2 Myr, particularly during periods of severe climatic changes. We estimate that the Przewalski's and domestic horse populations diverged 38-72 kyr bp, and find no evidence of recent admixture between the domestic horse breeds and the Przewalski's horse investigated. This supports the contention that Przewalski's horses represent the last surviving wild horse population. We find similar levels of genetic variation among Przewalski's and domestic populations, indicating that the former are genetically viable and worthy of conservation efforts. We also find evidence for continuous selection on the immune system and olfaction throughout horse evolution. Finally, we identify 29 genomic regions among horse breeds that deviate from neutrality and show low levels of genetic variation compared to the Przewalski's horse. Such regions could correspond to loci selected early during domestication.
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We report a high-quality draft sequence of the genome of the horse (Equus caballus). The genome is relatively repetitive but has little segmental duplication. Chromosomes appear to have undergone few historical rearrangements: 53% of equine chromosomes show conserved synteny to a single human chromosome. Equine chromosome 11 is shown to have an evolutionary new centromere devoid of centromeric satellite DNA, suggesting that centromeric function may arise before satellite repeat accumulation. Linkage disequilibrium, showing the influences of early domestication of large herds of female horses, is intermediate in length between dog and human, and there is long-range haplotype sharing among breeds.
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Locomotion in mammals relies on a central pattern-generating circuitry of spinal interneurons established during development that coordinates limb movement. These networks produce left-right alternation of limbs as well as coordinated activation of flexor and extensor muscles. Here we show that a premature stop codon in the DMRT3 gene has a major effect on the pattern of locomotion in horses. The mutation is permissive for the ability to perform alternate gaits and has a favourable effect on harness racing performance. Examination of wild-type and Dmrt3-null mice demonstrates that Dmrt3 is expressed in the dI6 subdivision of spinal cord neurons, takes part in neuronal specification within this subdivision, and is critical for the normal development of a coordinated locomotor network controlling limb movements. Our discovery positions Dmrt3 in a pivotal role for configuring the spinal circuits controlling stride in vertebrates. The DMRT3 mutation has had a major effect on the diversification of the domestic horse, as the altered gait characteristics of a number of breeds apparently require this mutation.
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Background Greying with age in horses is an autosomal dominant trait, associated with loss of hair pigmentation, melanoma and vitiligo-like depigmentation. We recently identified a 4.6 kb duplication in STX17 to be associated with the phenotype. The aims of this study were to investigate if the duplication in Grey horses shows copy number variation and to exclude that any other polymorphism is uniquely associated with the Grey mutation. Results We found little evidence for copy number expansion of the duplicated sequence in blood DNA from Grey horses. In contrast, clear evidence for copy number expansions was indicated in five out of eight tested melanoma tissues or melanoma cell lines. A tendency of a higher copy number in aggressive tumours was also found. Massively parallel resequencing of the ~350 kb Grey haplotype did not reveal any additional mutations perfectly associated with the phenotype, confirming the duplication as the true causative mutation. Conclusions These results suggest that the mutation acts as a melanoma-driving regulatory element. The elucidation of the mechanistic features of the duplication will be of considerable interest for the characterization of horse melanomas as well as for the field of human melanoma research.
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Melanocytes are derived from neural crest and migrate along the dorsolateral pathway to colonize the final destination in the skin. Stem cell factor and its receptor c-kit were identified as gene products of Sl and W mutant loci; both of them were known to have defects in melanocytes survival. In this review, we focus on the function of stem cell factor and c-kit in melanocyte migration and survival, which has become clearer in the last decade. By analysis of both molecules in wild-type and white spotting mutant mice, ligand and receptor set were shown to play multiple roles in the development of melanocytes in mouse ontogeny. Functional blockade of c-kit by specific monoclonal antibody illustrated distinct c-kit dependent and independent stages in melanocyte development. Finally, SCF transgene expression demonstrated that part of the c-kit dependent step is regulated by spatiotemporally specific ligand expression and also indicated the presence of c-kit independent melanocyte stem cells in postnatal skin.Keywords: SCF, c-kit, melanocyte, transgenic mouse, membrane-bound