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The effect of the ‘Gait keeper’ mutation in the DMRT3 gene on gaiting ability in Icelandic horses

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A nonsense mutation in DMRT3 (‘Gait keeper’ mutation) has a predominant effect on gaiting ability in horses, being permissive for the ability to perform lateral gaits and having a favourable effect on speed capacity in trot. The DMRT3 mutant allele (A) has been found in high frequency in gaited breeds and breeds bred for harness racing, while other horse breeds were homozygous for the wild-type allele (C). The aim of this study was to evaluate further the effect of the DMRT3 nonsense mutation on the gait quality and speed capacity in the multigaited Icelandic horse and demonstrate how the frequencies of the A- and C- alleles have changed in the Icelandic horse population in recent decades. It was confirmed that homozygosity for the DMRT3 nonsense mutation relates to the ability to pace. It further had a favourable effect on scores in breeding field tests for the lateral gait tölt, demonstrated by better beat quality, speed capacity and suppleness. Horses with the CA genotype had on the other hand significantly higher scores for walk, trot, canter and gallop, and they performed better beat and suspension in trot and gallop. These results indicate that the AA genotype reinforces the coordination of ipsilateral legs, with the subsequent negative effect on the synchronized movement of diagonal legs compared with the CA genotype. The frequency of the A-allele has increased in recent decades with a corresponding decrease in the frequency of the C-allele. The estimated frequency of the A-allele in the Icelandic horse population in 2012 was 0.94. Selective breeding for lateral gaits in the Icelandic horse population has apparently altered the frequency of DMRT3 genotypes with a predicted loss of the C-allele in relatively few years. The results have practical implications for breeding and training of Icelandic horses and other gaited horse breeds.
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ORIGINAL ARTICLE
The effect of the ‘Gait keeper’ mutation in the DMRT3 gene on
gaiting ability in Icelandic horses
T. Kristjansson
1
, S. Bjornsdottir
2
, A. Sigurdsson
1
, L.S. Andersson
3
, G. Lindgren
4
, S.J. Helyar
5
,
A.M. Klonowski
5
& T. Arnason
1
1 Agricultural University of Iceland, Hvanneyri Borgarnes, Iceland
2 Icelandic Food and Veterinary Authority, Selfoss, Iceland
3 Capilet Genetics AB,
Oster Skogsta, V
aster
as, Sweden
4 Department of Animal Breeding and Genetics, Swedish University of Agricultural Sciences, Uppsala, Sweden
5 Mat
ıs, Reykjavik, Iceland
Keywords
Gaiting ability; genotype effect; genotype
probability.
Correspondence
T. Kristjansson, Agricultural University of
Iceland, IS-311 Borgarnes, Iceland.
Tel: 00345-8662199;
Fax: 00354-4335001;
E-mail: thorvaldurk@lbhi.is
Received: 22 April 2014;
accepted: 30 June 2014
Summary
A nonsense mutation in DMRT3 (‘Gait keeper’ mutation) has a predomi-
nant effect on gaiting ability in horses, being permissive for the ability
to perform lateral gaits and having a favourable effect on speed capacity
in trot. The DMRT3 mutant allele (A) has been found in high frequency
in gaited breeds and breeds bred for harness racing, while other horse
breeds were homozygous for the wild-type allele (C). The aim of this
study was to evaluate further the effect of the DMRT3 nonsense muta-
tion on the gait quality and speed capacity in the multigaited Icelandic
horse and demonstrate how the frequencies of the A- and C- alleles
have changed in the Icelandic horse population in recent decades. It
was confirmed that homozygosity for the DMRT3 nonsense mutation
relates to the ability to pace. It further had a favourable effect on scores
in breeding field tests for the lateral gait t
olt, demonstrated by better beat
quality, speed capacity and suppleness. Horses with the CA genotype
had on the other hand significantly higher scores for walk,trot,canter
and gallop, and they performed better beat and suspension in trot and
gallop. These results indicate that the AA genotype reinforces the coordi-
nation of ipsilateral legs, with the subsequent negative effect on the syn-
chronized movement of diagonal legs compared with the CA genotype.
The frequency of the A-allele has increased in recent decades with a
corresponding decrease in the frequency of the C-allele. The estimated
frequency of the A-allele in the Icelandic horse population in 2012 was
0.94. Selective breeding for lateral gaits in the Icelandic horse popula-
tion has apparently altered the frequency of DMRT3 genotypes with a
predicted loss of the C-allele in relatively few years. The results have
practical implications for breeding and training of Icelandic horses and
other gaited horse breeds.
Introduction
One of the major characteristics of horse breeds is
their ability to perform specific gaits. A gait is a coordi-
nation pattern of the limbs identified by timing and
sequence of the footfalls. The gait chosen by a horse
depends on speed, genotype and environmental fac-
tors (Alexander 1988; Clayton 2004). The Icelandic
horse is a multigaited horse breed showing the stan-
dard gaits of all domestic horse breeds that are walk,
©2014 Blackwell Verlag GmbH J. Anim. Breed. Genet. (2014) 1–11 doi:10.1111/jbg.12112
J. Anim. Breed. Genet. ISSN 0931-2668
trot,canter and gallop. In addition, it has t
olt and pace.
T
olt is a four-beat running gait with lateral sequence
of footfalls and without suspension. Pace is considered
a two-beat gait with a moment of suspension where
lateral legs move almost synchronously back and
forth and is optimally a very fast gait. Icelandic horses
that possess walk, trot, canter, gallop and t
olt are
referred to as four-gaited horses, whereas horses that
additionally have the ability to perform pace are called
five-gaited horses.
A nonsense mutation in DMRT3 (DMRT3_Ser301-
STOP), also referred to as the ‘Gait keeper’ mutation,
has been shown to have a great impact on gaiting abil-
ity in horses (Andersson et al. 2012). Previous work
has indicated that the mutation is permissive for the
ability to perform lateral gaits, such as t
olt and pace,
and homozygosity for the mutation is required
although not sufficient for the ability to pace. More-
over, the mutation was reported to have a favourable
effect on speed capacity in trot and seemed to inhibit
the transition from trot to gallop in a study on Stan-
dardbred horses used in harness racing (Andersson
et al. 2012). The DMRT3 mutant allele (A) was found
in high frequencies in gaited breeds and breeds bred
for harness racing, while tested non-gaited horse
breeds were found homozygous for the wild-type
allele (C) (Andersson et al. 2012). Comparison of
wild-type and Dmrt3-null mice showed that DMRT3 is
crucial for the normal development of a coordinated
locomotor network that controls limb movement. It
was concluded that DMRT3 neurons are essential for
left/right coordination as well as for coordinating the
movement of fore- and hind legs (Andersson et al.
2012).
The Icelandic horse is bred for leisure riding as well
as for sport competitions (Albertsd
ottir et al. 2007;
FIZO 2012), with the international breeding goal for
the Icelandic horses promoting five-gaited horses. The
breeding assessment system is based on breeding field
tests for both riding qualities and conformation,
where assessment of riding qualities includes judging
of the five gaits (FIZO 2012). Scores are also given for
slow t
olt and canter although they are not weighed into
the total score, but influence the scoring for t
olt and
gallop, respectively. The horses are judged on a scale
from 5 (not presented) to 10 (best) with intervals of
0.5, the average being 7.5. The judges can also give
standardized comments on the assessed traits that
describe certain attributes of the traits and substanti-
ate the scoring (listed in Table S1 for the five gaits).
Horses can only receive scores above average if they
present one or more of the listed advantages and
horses below average have one or more of the listed
disadvantages. Horses can attend the breeding field
tests from the age of four, the majority being five and
6 years old. Approximately 12.5% of the Icelandic
horse population is presented based on a preselection
by the breeders (Albertsd
ottir et al. 2011).
The aim of this study was to evaluate the effect of
the DMRT3 nonsense mutation on the gait quality and
speed capacity in the multigaited Icelandic horse and
demonstrate how the frequency of the A- and C-
alleles has changed in the Icelandic horse population
in recent decades.
Material and methods
Estimation of DMRT3 genotype effect on gait traits
Selection of horses
Horses were selected for genotyping on the basis of
their scores for the different gaits in breeding field
tests. For practical reasons, the selection was limited
to horses judged in Iceland and Sweden, in the years
20002012, with a stored DNA sample according to
the global database WorldFengur (http://www.world-
fengur.com). The first criterion was the score for pace
including both horses with scores below average
(5.57.0) and higher performing (7.510). The number
of horses in each score for pace was in accordance with
the proportion of horses getting each score annually
for the last 5 years in Iceland. This provided 390 five-
gaited horses with a wide distribution of scores for the
other gaits. In the next step, four-gaited horses (with
the score 5.0 for pace and various scores for the other
gaits) were added until at least 20 horses showed each
score for each gait in the range of 7.09.0 and as many
as possible in the range of 9.510. This added 243
horses and enabled comparison of four- and five-gai-
ted horses of different gait quality with respect to the
DMRT3 genotype. Horses were selected at random
when possible, but in the case of few available candi-
dates, all were selected. Finally, 34 horses were
selected on the basis of the judges’ comments describ-
ing quality and speed capacity of the gaits (FIZO
2012) (Table 1). As comments are not necessarily
recorded for each trait for all horses, comparison with
the genotype data was limited to the following
variables: good beat in walk; good speed capacity in
trot versus lack of speed; clear beat in trot and good
suspension in trot versus four-beated trot; good speed
capacity in gallop versus lack of speed; clear beat in
gallop; good suspension in gallop versus lack of suspen-
sion in gallop; good speed capacity in t
olt versus lack of
speed; good beat in t
olt versus trotty t
olt; and supple
t
olt versus stiff t
olt.
©2014 Blackwell Verlag GmbH J. Anim. Breed. Genet. (2014) 1–112
The effect of a mutation in DMRT3 on gaiting ability T. Kristjansson et al.
Description of data
The data set consisted of 667 horses, of which 360
were stallions and 307 mares. Where a horse had
been scored more than once at breeding field tests,
only the record where the horse obtained its highest
total score for riding ability was used. Scores for t
olt
and age at first evaluation at a breeding field test were
also investigated. The age ranged from 4 to 14 years,
with a mean of 6.4 1.7 years. The horses were born
in 19862008 with a mean birth year 2001 4.3.
The total number of sires was 271, with an average of
2.5 3.7 offspring per sire (range: 143). The data set
included 404 five-gaited horses (pace score 5.5) and
263 four-gaited horses (pace score =5.0).
SNP genotyping
Samples from the 667 horses were obtained from two
repositories in Iceland and one in Sweden. DNA was
extracted from nose swabs and blood using mag
TM
kit
(AGOWA GmbH, Berlin, Germany) and Gentra Pure-
gene Blood Core Kit (QIAGEN Inc., Venlo, Limburg,
the Netherlands), respectively.
Custom TaqMan SNP Genotyping assays (Applied
Biosystems, Inc., Foster City, CA, USA) were used to
genotype the DMRT3_Ser301STOP SNP with the follow-
ing primers and probes: Forward primer: 50-CCTC
TCCAGCCGCTCCT-30; reverse primer: TCAAAGATG
TGCCCGTTGGA-30;wild-typeprobe:5
0-CTGCCGAA
GTTCG; mutant probe: 50-CTCTGCCTAAGTTCG-30.rt-
PCRs were carried out on a 384-well ABI PRISM 7900
HT sequence detection system (Applied Biosystems)
and a 96-well Stratagene Mx3005P.
Statistical analyses
Statistical analyses were performed using SAS (SAS
Institute Inc. 2009). The mean, standard deviation
(SD), skewness and kurtosis were calculated to
describe the variation of the gaits within the sample of
667 horses. To ascertain whether the distribution of
the gaits deviated significantly from zero measure of
skewness and kurtosis, the following calculations
were made: Estimated skewness >1.966/n for
p<0.05 and estimated skewness >2.336/n for
p<0.01; and estimated kurtosis >1.9624/n for
p<0.05 and estimated kurtosis >2.3324/n for
p<0.01.
Effects of the age*sex interaction (four age classes:
4, 5, 6 and 7 years old horses, two sex classes: mares
and stallions) and the genotype of the horse (two clas-
ses: AA and CA genotypes) on the gait traits were esti-
mated with analysis of variance using PROC GLM
(SAS Institute Inc. 2009). The following model was
assumed for each gait trait:
y
ijn
=l+age sex
i
+genotype
j
+age sex *
genotype
k
+e
ijn
where y
ijn
is a gait trait (six traits: walk,trot,gallop,
canter,t
olt and slow t
olt) for the nth horse, lis the pop-
ulation mean, age-sex
i
is the combined effect of the i
th
agesex group (i=1,...,8), genotype
j
is the effect of
the j
th
genotype (j=1, 2; 1 =AA, 2 =CA), age-
sex*genotype
k
is the effect of the interaction of k
th
agesex by genotype (k=1,...,16) and e
ijn
is a ran-
dom ~NID (0, r2
e) residual effect. Because of their low
number, horses with the CC genotype (n =8) were
not included in this analysis. A Student’s t-test was
used to ascertain whether both scores for t
olt and age
at first evaluation differed significantly between
horses with AA and CA genotypes. Then a chi-square
test with 1 df was performed to study whether propor-
tions of genotypes within a subgroup of 28 horses that
had received scores of 9.09.5 for t
olt as 4 years old
deviated significantly from the proportion of the
genotypes within the whole data set.
Discriminant analysis was performed using stepwise
selection to obtain a subset of the gaits to be able to dis-
criminate between the genotype classes (AA and C-).
Only gaits that were significant in the stepwise discri-
minant function procedure and that had partial R
2
values 0.01 were retained in the final model. These
gaits were then included in a canonical discriminant
analysis to find a linear combination of the gaits that
best summarized the difference between the genotype
classes (AA and C-). Mahalanobis distance between
the class means was estimated. The analyses were
Table 1 Number of horses in the data set within scores for each gait assessed at breeding field tests for Icelandic breeding horses
Trait 5.0 5.5 6.0 6.5 7.0 7.5 8.0 8.5 9.0 9.5 10.0 Total
Walk 0 9 24 47 114 140 176 105 29 2 1 647
Trot 1 0 2 19 71 95 194 172 87 25 1 667
Gallop 0 0 1 2 28 109 235 197 84 11 0 667
Canter 26 0 0 10 62 162 197 93 35 11 1 597
T
olt 0 0 2 4 21 71 182 217 112 55 3 667
Slow t
olt 3 0 5 8 43 130 220 150 63 10 1 630
Pace 263 44 47 59 80 30 35 46 50 12 1 667
©2014 Blackwell Verlag GmbH J. Anim. Breed. Genet. (2014) 1–11 3
T. Kristjansson et al. The effect of a mutation in DMRT3 on gaiting ability
performed using the PROC STEPDISC and PROC CAN-
DISC (SAS Institute Inc. 2009), respectively.
Chi-square tests with 1 df were performed to study
whether proportions of genotypes within groups of
horses receiving certain judges’ comments describing
the gaits deviated significantly from the proportion of
the genotypes within the whole data set.
Change in allele frequency over time
When the mode of inheritance is known, genotype
probabilities at individual loci in large animal popula-
tions can be estimated from genotyped data or pheno-
typic data on a part of the population. For this
purpose, efficient computing algorithms have been
created (van Arendonk et al. 1989; Fernando et al.
1993; Janss et al. 1995; Kerr & Kinghorn 1996).
WorldFengur (http://www.worldfengur.com) pro-
vided a pedigree file containing 410 285 horses for
this study (birth years 18602012) where of 83%
were born after 1989. The average pedigree depth for
horses born 20092012 was 5.1 generations (max.
value 15), and the corresponding five generations
pedigree completeness index (PEC) was 85% accord-
ing to the method of MacCluer et al. (1983).
So far, only a very small proportion of the popula-
tion of Icelandic horses has been genotyped for the
DMRT3 mutation (706 genotyped horses were avail-
able for this study). However, recording of pace scores
in breeding field tests may provide approximate infor-
mation on the conditional probabilities of the geno-
types for a larger number of horses. As a starting
point, pace scores were extracted from the breeding
field test records kept in WorldFengur based on the
following conditions: a) pace score 6.0 (indication of
a carrier of the A-allele), b) pace score =5.0 (no pace
shown) and trot score 7.0 (initial indication of a
C-allele carrier). Data were excluded for horses
receiving 5.5 for pace and for horses with no pace
shown in combination with limited or bad trot.In
total, 55 073 records on 33 036 horses fulfilled the
required conditions. The highest pace score for horses
with repeated observations was selected, and one
record per horse was used.
Six phenotypic classes were formed based on the
information content of the genotype data and the
phenotypic data (first two columns in Table 2). The
genotype data consisted of 521 AA, 177 CA and
eight CC horses. The phenotypic pace scores 7.0
were taken to indicate the AA genotype (score 1),
and pace scores 5.0 were used as a preliminary indi-
cation of the CA or CC (C-) genotype (score 4),
while pace scores 6.06.5 were assumed to exclude
the CC genotype and leave scope for CA or AA geno-
types (score 5).
The present genotype data and earlier results (An-
dersson et al. 2012) have shown that horses with pace
scores 7.0 are almost certainly of genotype AA, while
a large part (>30%) of the horses receiving pace score
of 5.0 (shown as four-gaited horse) are also AA
although pace was not presented, for various reasons.
By use of pedigree data and the laws of Mendelian
inheritance, the preliminary phenotypic scores can be
updated and improved. It is feasible to use the Geno-
type Elimination (GE) algorithm of Lange (1997) to
improve the phenotypic score data by creating a legal
data set compatible with the pedigree and Mendelian
models (Table 2). The G-E algorithm is an iterative
procedure for eliminating genotypes where incompat-
ibility is observed between any offspringparent pairs
in the pedigree list. The G-E algorithm was run
repeatedly (seven times), and inconsistency was
listed. Unlikely scores of offspring were adjusted to
score 1 whenever both parents had genotype AA con-
firmed on the basis of genotype or phenotypic data.
As many horses shown as four-gaiters are truly AA,
this procedure of updating seems important (Anders-
son et al. 2012). The data with G-E updated scores
were used as an input in the segregation analysis by
the Geneprob Fortran program of Kerr & Kinghorn
(1996). The Geneprob program is based on the con-
cept of ‘iterative peeling’ and, as all such algorithms,
which are based on probability equations, the method
is sensitive to inconsistency in the data. The prior use
of the G-E procedure is highly recommendable before
segregation analysis in large data sets where errors in
pedigree and/or data recording are inevitable.
The resulting changes in the phenotypic scores are
shown in Table 2. The increase in fully and partly
informative scores was from 8.03% in the initial data
to 58.55% in the GE updated scores.
Table 2 Phenotypic scores and corresponding possible genotypes for
Icelandic horses included in the pedigree list. The distribution of the
scores is shown before and after G-E updating, for the 410 285 Icelandic
horses included in the pedigree list
Phenotypic
scores Genotypes
Initial scores
GE updated
scores
N%N%
1 AA 17 284 4.21 67 019 16.33
2 CA 176 0.04 7910 1.93
3 CC 8 0.002 8 0.002
4 C- 8857 2.16 4661 1.14
5 A- 6620 1.61 160 633 39.15
9 (no score) 377 348 91.97 170 054 41.45
©2014 Blackwell Verlag GmbH J. Anim. Breed. Genet. (2014) 1–114
The effect of a mutation in DMRT3 on gaiting ability T. Kristjansson et al.
The frequency of the C-allele in the founder popu-
lation, p(C), was assumed to be either 0.13 as in the
sample of 706 genotyped horses or 0.30, which may
be a more probable value in the founder population
(ca. 5 generations back) according to preliminary
results. These values were used as priors in the geno-
type probability computations. Many horses in the
population were slightly inbred (average inbreeding
coefficient was 2.5%). The prior genotype probabili-
ties for inbred animals are not exact as the algorithm
in Geneprob does not account for the increased proba-
bility of inbred animals being homozygous. For ani-
mals with sufficient phenotypic or genotypic
information, the effects of prior allelic frequency or
inbreeding level on the posterior genotypic probabili-
ties are negligible.
The accuracy of the genotype probability estimates
was evaluated by the genotype probability index
(GPI) developed by Kinghorn (1997) to indicate the
information content from the segregation analysis.
Mean genotype probabilities within each year were
the estimate for the genotype frequencies within each
cohort, and from these, the annual development in
the frequencies of the A- and C-alleles was plotted for
the birth years 19802012. A chi-square test with 1 df
was performed to evaluate whether the genotypes
would conform to the HardyWeinberg proportions.
The chi-square value for each year (cohort) was
regressed on year for the period 19802012. These
calculations included 146 763 horses with a GPI of
30% (Kinghorn 1997).
Results
Effect of DMRT3 genotype on gait traits
The majority of the 667 horses genotyped for the
DMRT3_Ser301STOP mutation, or 509 (76.3%), were
homozygous for the A-allele (AA) and 150 (22.5%)
were heterozygous (CA) while only 8 (1.2%) were
found homozygous for the wild type (CC). Accord-
ingly, the frequency of the A-allele was 0.88 and of
the C-allele 0.12 in this data set and the genotypes
conform to the HardyWeinberg proportions. Among
the four-gaited horses, 118 of 263 (45.0%) were
homozygous AA, 137 (52.0%) heterozygous CA and
8 (3.0%) homozygous CC, while 391 of 404
(96.8%) five-gaited horses were homozygous AA
and 13 were heterozygous CA (3.2%). The 13 five-
gaited horses with the CA genotype had scores from
5.57.0 for pace with a mean score of 5.92, compared
with a mean score of 7.30 for horses of the AA
genotype.
The mean, range and variation of six gait traits are
presented in Table 3. The distribution of the traits
walk, trot and canter deviated significantly from zero
measure of skewness and kurtosis.
The DMRT3 genotype had a significant effect on all
gaits except slow t
olt (Table 4). Scores for walk, trot,
gallop and canter were significantly higher among
horses with the CA genotype compared with AA
horses which had significantly higher scores for t
olt.
The interaction term between the agesex classes
and genotype (two classes: AA genotype and CA
genotype) proved to be non-significant for all gaits
except for t
olt. Stallions aged four and 5 years with
the AA genotype had significantly higher scores for
t
olt than their contemporaries with the CA genotype.
Mean scores of 4-year-old stallions with the AA and
CA genotype were 8.55 and 7.90, respectively
(p <0.01), and mean scores of 5-year-old AA and CA
stallions were 8.48 and 8.18, respectively (p <0.05).
Moreover, 6-year-old mares with the AA genotype
had significantly higher scores for t
olt (8.25) than 6-
year-old mares with the CA genotype (7.93)
(p <0.05). Mean scores for t
olt at first evaluation in
breeding field tests for CA and AA horses were 8.11
(mean age: 5.5 years) and 8.15 (mean age: 5.1 years),
Table 3 The mean, range and variation of six gait traits of the 667
horses included in the data set
Trait Mean SD Min Max Skewness Kurtosis
Walk 7.66 0.73 6.00 9.50 0.25* 0.37
Trot 8.09 0.69 6.00 10.00 0.18 0.39*
Gallop 8.16 0.55 6.50 9.50 0.14 0.07
Canter 7.89 0.60 6.50 10.00 0.29* 0.11
T
olt 8.36 0.64 6.00 10.00 0.19 0.29
Slow t
olt 8.05 0.59 6.00 10.00 0.04 0.13
Levels of significance: *p <0.05.
Table 4 Results of analysis of variance for the effect of DMRT3 geno-
type on gait traits (667 horses). Least square means of six gait traits of
homozygous mutant (AA) and heterozygous (CA) horses. The p-values
indicate where there is significant difference between least square
means
Trait Number of AA Number of CA AA CA p-value
Walk 502 143 7.52 7.71 *
Trot 509 150 7.99 8.24 ***
Gallop 509 150 8.08 8.36 ***
Canter 474 119 7.61 8.32 ***
T
olt 509 150 8.39 8.26 *
Slow t
olt 488 136 8.01 8.04 NS
Levels of significance: *p <0.05; ***p <0.001.
©2014 Blackwell Verlag GmbH J. Anim. Breed. Genet. (2014) 1–11 5
T. Kristjansson et al. The effect of a mutation in DMRT3 on gaiting ability
respectively. CA horses were significantly older at first
evaluation than AA horses, while the difference in
mean score for t
olt was not significantly different. Fur-
ther, it was shown that significantly more horses had
the AA genotype (93%) compared with the CA geno-
type (7%) within a subgroup of 28 horses that had
received 9.0 or higher for t
olt at the age of 4 years.
The selection procedure of STEPDISC was used to
select the subset of the gaits that best reveals the dif-
ference between the genotype classes. All gaits were
selected in the final model, and multivariate tests
(Wilks’ lambda and Pillai’s trace) indicated highly sig-
nificant (p <0.001) differences between horses with
the AA and C- genotypes. However, pace followed by
canter,t
olt,gallop and trot had, according to their R
2
and F-values, more discriminant power than walk and
slow t
olt (results not shown),so the latter were
removed from the final model. In the canonical discri-
minant analysis, the canonical coefficients generated
were significant (p <0.001). The adjusted canonical
correlation between the resulting discriminant func-
tion and the classification variable of the AA or C-
genotype was 0.58. The structure of the discriminant
function is shown in Table 5. The traits with the high-
est absolute canonical coefficients or loadings contrib-
ute the most to the divergence between genotype
classes. Canter had the highest positive coefficient, fol-
lowed by gallop and trot; high scores for these traits
indicated a C- genotype. Pace and t
olt had negative
coefficients, with pace having a higher loading value;
high scores for these traits indicated an AA genotype.
The mid-point between the group centroid scores,
which may be used as a cutting point to assign a pre-
viously unclassified horse to a genotype group, was
0.52; a horse with a value >0.52 would be classified as
a C- horse and a horse with a value <0.52 would be
classified as an AA horse. The Mahalanobis distance
(D
2
) was 3.23 and showed a significant difference
between the genotype classes, indicating that horses
would be correctly classified in 82% of all cases.
The proportions of the AA and CA genotypes dif-
fered significantly within groups of horses receiving
judges’ comments describing beat in trot, gallop and t
olt;
suspension in trot and gallop; and speed capacity and
suppleness in t
olt. Horses with the CA genotype more
often had good suspension in trot and gallop, better beat
in gallop and were less likely to be four-beated in trot
while AA horses were more likely to be supple in t
olt
and to possess good speed capacity in t
olt (Table 6).
Change in allele frequency over time
The results of the segregation analyses with the two
different prior allele frequencies (p(C) =0.13 and p
(C) =0.30) were compared in terms of information
content (Table 7). The true allele frequency for the C-
allele is probably closer to 0.3 in the founder popula-
tion (see Figure 1). The frequency of accurately esti-
mated genotypes was slightly higher, and therefore,
only the results from the analysis with p(C) =0.3 will
be presented and discussed further.
The increase in exactly evaluated genotypes in the
segregation analysis compared with the G-E proce-
dure is shown in Table 8. The data included eight
Table 5 Total canonical structure of the discriminating function sepa-
rating horses of the AA and CA genotypes
Trait Coefficient
Pace 0.79
Canter 0.59
Gallop 0.40
Trot 0.27
T
olt 0.11
F-value 62.72
p-value ***
Levels of significance: ***p <0.001.
Table 6 The proportion of genotypes within groups of horses receiving
certain judges’ comments for the gaits. The p-values indicate where the
proportions deviate significantly from the expected proportions of 0.76
for the homozygous mutant genotype (AA) and 0.24 for the heterozy-
gous genotype (CA) according to a chi-square test with 1 degree of free-
dom
Trait Number AA C/- p-value
Walk
Clear beat 132 0.73 0.27 NS
Trot
Good speed capacity 123 0.79 0.21 NS
Lack of speed capacity 88 0.83 0.17 NS
Clear beat 131 0.74 0.26 NS
Four-beated 64 0.91 0.09 *
Good suspension 92 0.45 0.56 ***
Gallop
Good speed capacity 166 0.79 0.21 NS
Lack of speed capacity 35 0.83 0.17 NS
Clear beat 65 0.6 0.4 *
Good suspension 77 0.42 0.58 ***
Lack of suspension 71 0.96 0.04 ***
T
olt
Good speed capacity 222 0.83 0.17 *
Lack of speed capacity 38 0.53 0.47 ***
Clear beat 257 0.78 0.22 NS
Trotty beat 27 0.19 0.81 ***
Supple 99 0.87 0.13 *
Stiff 33 0.82 0.18 NS
Levels of significance: *p <0.05; ***p <0.001.
©2014 Blackwell Verlag GmbH J. Anim. Breed. Genet. (2014) 1–116
The effect of a mutation in DMRT3 on gaiting ability T. Kristjansson et al.
genotyped individuals with the CC genotype, and
only one horse with exactly confirmed CC genotype
was additionally revealed in the segregation analysis.
Then, 24 horses were found to have estimated geno-
type probability >0.85 for the CC genotype.
The trend from 1980 to 2012 in the frequency of
the alleles A and C was estimated in the whole popu-
lation through calculation of genotype probabilities.
The frequency of the A-allele was estimated to be
0.72 in 1980 and 0.94 in 2012 (Figure 1).
The chi-square test was used to evaluate whether
the genotypes reflected HardyWeinberg proportions.
This was performed for each birth year from 1980 to
2012, and the chi-square value regressed on birth
year (Figure 2). For the years 19801993, the geno-
types were not in HardyWeinberg equilibrium as the
values were above 3.84, which is the 0.05 significance
level for one df. In this period, the proportion of the
CA genotype was higher than expected and the pro-
portion of the homozygotes was subsequently lower.
In the years 19942012, the genotypes were esti-
mated to be in HardyWeinberg equilibrium in the
population. The results showed that the proportion of
the genotypes in the selected material of 667 horses
conformed to the HardyWeinberg proportions. These
findings therefore agree well with the fact that the
majority of horses in the selected material are born in
19972005.
Discussion
The population of the multigaited Icelandic horse
allows for detailed estimation of the effects of the
DMRT3 nonsense mutation (Ser301STOP) on gaiting
ability. The assessment of the different gaits is system-
atic and standardized (FIZO 2012), and the population
is not fixed for the mutation (Andersson et al. 2012).
In this study, the effect of the DMRT3 nonsense muta-
tion on the gaiting ability of the Icelandic horse was
estimated using more detailed information and a lar-
ger sample of assessed breeding horses than previ-
ously published (Andersson et al. 2012). The horses in
the data set were selected with regard to scores and
judges’ comments referring to the individual gaits to
include as detailed information about both gait qual-
ity and speed capacity as possible. The mean scores for
Table 7 Illustration of information content in the studied data for esti-
mation of genotype probabilities. The genotype probabilities are
derived from segregation analyses with two different prior allele fre-
quencies (p(C) =0.13 and p(C) =0.30)
GPI
P(C) =0.13 P(C) =0.30
N%N%
100 75 059 18.29 75 232 18.34
90 84 214 20.53 85 106 20.74
80 94 623 23.06 98 536 24.02
70 109 773 26.76 118 732 28.94
60 119 944 29.23 135 489 33.38
50 134 662 32.82 161 567 39.38
40 183 269 44.67 199 211 48.55
30 254 340 61.99 226 410 55.18
GPI, Genotype Probability Index.
Figure 1 Frequencies of the A- and C-alleles in DMRT3 in the Icelandic
horse population from 19802012; the red line refers to the A-allele,
and the green line refers to the C-allele.
Table 8 Number of exactly estimated genotypes in the segregation
analysis when prior p(C) =0.3
Genotypes N %
Increment compared
with GE updated scores
AA 67 273 16.40 254
CA 7950 1.94 40
CC 9 1
Figure 2 Development of chi-square values over time, testing Hardy
Weinberg equilibrium of DMRT3 genotypes in the Icelandic horse popu-
lation, with indicated 0.05 significance level for one degree of freedom
(green line).
©2014 Blackwell Verlag GmbH J. Anim. Breed. Genet. (2014) 1–11 7
T. Kristjansson et al. The effect of a mutation in DMRT3 on gaiting ability
the gaits (Table 3) were, however, higher in the
selected material than in all Icelandic breeding horses
presented for breeding assessment in a similar period
(Albertsd
ottir et al. 2008), except for walk and pace.
No single sire is believed to have a great impact on the
results as the average number of offspring per sire is
low and it is assumed that the data set reflects the esti-
mated proportion of genotypes in the population. The
rider has been shown to have a significant effect on
gait quality (Albertsd
ottir et al. 2007). The rider effect
was, however, not included in the model where the
genotype effect on the gaits was estimated because of
obvious risk of confounding effects of the rider and
genotype, as 74% of riders rode only one or two
horses. Kerr and Kinghorn’s method (1996) of calcu-
lating genotype probabilities facilitated the estimation
of the development in the frequency of the A- and C-
alleles, which shows how breeding decisions have
shaped the distribution of DMRT3 genotypes over
time.
Effect of the DMRT3 nonsense mutation on gait traits
This study confirmed favourable effects of the DMRT3
nonsense mutation on the lateral gaits t
olt and pace.
Almost all horses with a pace score of 5.5 or higher
were homozygous for the DMRT3 nonsense mutation,
confirming that the AA genotype is a prerequisite for
the ability to pace. The AA genotype is, however, not
sufficient for the ability to perform pace as 45% of
horses classified as four-gaited were homozygous
mutants. This high proportion of AA horses presented
as four-gaited (without pace) could thus be influenced
by other genetic and environmental factors. Present-
ing all gaits at breeding field tests will give the possi-
bility of highest total score and is therefore the main
goal. However, the score for t
olt is the most valuable
trait for the marketing price of the horse, so t
olt
has the highest weight in the total score. Presenting
four gaits is an alternative, preferable for horses that
do not have outstanding performance in pace. Train-
ing of t
olt receives the highest priority and it is well
known that pace training can in some instances
impair the t
olt quality. Therefore, many horses are rid-
den as four-gaiters even if they could perform pace up
to a certain level (
Arnason & Sigurdsson 2004). The
presence of few CA horses receiving a score of 5.5 or
higher for pace (3.2% of the five-gaited horses), which
all received scores below average for pace, is most
likely a phenotypic misclassification or in some
instances presumably resulting from training, confor-
mation or other factors that can facilitate CA horses to
perform low quality pace. T
olt and pace are very
similar gaits, both being in fact four-beat, lateral gaits
(Wilson et al. 1998), and phenotypic misclassification
is therefore not unexpected. The main features that
separate them is the shorter time between ground
contact of lateral legs in pace than t
olt and a moment
of suspension in pace, which should be non-existing in
t
olt (Zips et al. 2001).
The results clearly showed a positive effect of the
AA genotype on the t
olt ability. This seems to depend
both on superior speed capacity and suppleness of the
AA horses compared with the CA horses. Speed
capacity and suppleness greatly impact the scoring for
t
olt (FIZO 2012). The significant interaction between
genotype and the agesex classes in the analysis of
variance indicates that AA horses have more natural
ability to t
olt. CA horses were also significantly older
when presented at breeding field tests for the first
time. This could indicate that they need longer train-
ing than AA horses to develop an acceptable t
olt
capacity, as the quality of t
olt is one of the main crite-
ria for the preselection of horses to the breeding field
tests (Albertsd
ottir et al. 2011). Moreover, AA horses
are overrepresented in the group of 28 horses in the
data set that had received a score of 9.0 or 9.5 for t
olt
at the age of four. Heterozygous horses had signifi-
cantly higher scores for the basic gaits walk, trot, gallop
and canter. A previous study (Andersson et al. 2012)
has shown that Icelandic horses with the CA genotype
had significantly higher scores for trot compared with
homozygous mutant horses. This was confirmed in
the current study and further related to correct beat
and suspension. It was also revealed that CA horses
had significantly higher scores for gallop and canter
compared with AA horses, possessing more often cor-
rect beat and suspension in canter/gallop. Correct beat
in canter (a pure three-beat) depends on synchronized
movement of diagonal legs in much the same way as
in trot (Clayton 2004). These results indicate that the
AA genotype reinforces the coordination of ipsilateral
legs, with the subsequent negative effect on the syn-
chronized movement of diagonal legs. This agrees well
with previous suggestions that DMRT3 neurons play a
critical role in left/right coordination, as well as in
coordinating the movement of fore- and hind limbs
(Andersson et al. 2012). The negative effect of the AA
genotype on beat and suspension in trot as well as in
canter/gallop has probably the same cause, suggesting a
negative effect of the AA genotype on the synchro-
nized movements of diagonal legs. The genotype
effect on scores for canter is strong (Table 4), but high
scores for canter demand correct beat and suspension
(FIZO 2012). This is further supported by the higher
proportion of horses with the CA genotype among
©2014 Blackwell Verlag GmbH J. Anim. Breed. Genet. (2014) 1–118
The effect of a mutation in DMRT3 on gaiting ability T. Kristjansson et al.
horses that received the judges’ comment trotty t
olt,
which involves too much association of diagonal legs
in t
olt.
Standardbred trotters with the AA genotype have
been reported to have significantly higher breeding
values for racing performance compared with the CA
genotype (Andersson et al. 2012). It was suggested
that the AA genotype promotes speed capacity at trot.
This was not supported in the current study probably
because riders at breeding field tests for Icelandic
horses are not always riding them to their limit in
speed in trot to maintain correct beat, as correct beat
counts more than high speed in the scoring for trot
(FIZO 2012). It has been suggested that the transition
from trot to gallop is triggered when musculoskeletal
forces reach a critical level and that peak forces are
reduced at a certain speed by the transition from trot
to gallop, as gallop is a more compliant gait with the
sequential ground contact of limbs (Farley & Taylor
1991). This critical level could be avoided at high
speed in trot by dissociating diagonal legs (become
four-beated) and therefore placing the legs more
sequentially on the ground. It has, indeed, been
shown that the magnitude of diagonal dissociation
increases with speed (Drevemo et al. 1980). Therefore,
the superiority of AA horses in trot racing could be
explained by their ‘ability’ to be four-beated in trot as
shown in the current study. That could be an advan-
tage when high speed in trot is required but a disad-
vantage when qualities such as correct beat and
suspension are required.
The results of the canonical discriminant analysis
supported the findings of the analysis of variance for
the effect of the DMRT3 genotypes on the gaits. Based
on scores for trot,canter,gallop,t
olt and pace, it was
possible to discriminate between AA and CA horses
with high confidence. Pace had the highest negative
loading and, along with a high score for t
olt, suggested
an AA genotype. High scores for trot canter and gallop
suggested a CA genotype, with canter having the
greatest discriminating power of the basic gaits.
Change in allele frequency over time
The change in the frequency of the A- and C-alleles
indicated a selection in favour of the A-allele in the
Icelandic horse population over the last decades. This
result must be interpreted in the light of the effect of
the AA genotype on t
olt and its crucial role for the
ability to pace. Since the definition of the official
breeding objective for the Icelandic horse in 1950 and
until now, an excellent five-gaited horse has been the
main aim (Hugason 1994). This entailed a heavy
emphasis for many years on the selection of Icelandic
breeding horses with good capacity for both t
olt and
pace. Breeding value estimations for Icelandic horses
are based on breeding field test scores, where t
olt has
the highest weight and pace a relatively high weight.
In addition, both traits have high genetic variation
compared with other assessed traits, especially pace
(Albertsd
ottir et al. 2008). The quality of horses with
respect to these traits therefore greatly impacts their
ranking, and breeders have to a greater extent based
their selection on breeding values since 1984 (
Arnason
& Van Vleck 2001). The observed trend in the geno-
type frequencies implies that the C-allele may be lost
in the Icelandic horse population around year 2030.
In the light of the favourable effect the C-allele seems
to have on the basic gaits, the breeding goal for
the Icelandic horse should perhaps be redefined.
Competitions for four-gaited horses, where the basic
gaits and t
olt have equal weights, have become more
popular resulting in high market value of high-class
four-gaited horses (Albertsd
ottir et al. 2007). The cur-
rent study indicates how probability calculations can
be used to estimate the genotype of an individual using
genotype and phenotypic information combined with
prior knowledge about genotype effect. The results
demonstrate the strength of genomic methods in
monitoring the effect of breeding decisions on genetic
variability.
In the years 19801993, the DMRT3 genotypes were
not in HardyWeinberg equilibrium. The observation
of a higher proportion of CA horses than expected
from the gene frequencies suggests compensatory
mating, where the mating of two four-gaited horses
has probably been avoided over these years. The rea-
son for possible reduction in compensatory mating
according to DMRT3 genotypes and a consequent
HardyWeinberg equilibrium in the population in the
years 19942012 can probably be explained by
decreased selection intensity on the mares’ side due to
expansion in population size (Sigurdard
ottir 2011),
combined with growing popularity of four-gaited
horses among which the AA genotype is more com-
mon.
Conclusions
Homozygosity for the DMRT3 nonsense mutation is
permissive for pace and has a major effect on the qual-
ity of t
olt,trot and canter/gallop, and speed capacity in
t
olt. Selective breeding for lateral gaits in the Icelandic
horse population has altered the frequency of DMRT3
genotypes with a predicted loss of the C-allele in
relatively few years. The results have practical
©2014 Blackwell Verlag GmbH J. Anim. Breed. Genet. (2014) 1–11 9
T. Kristjansson et al. The effect of a mutation in DMRT3 on gaiting ability
implications for breeding and training of Icelandic
horses and other gaited horse breeds.
Acknowledgements
This work is supported by a funding grant from the
Foundation for the Preservation of the Icelandic
Horse. It was also partially supported by funds from
The Swedish Research Council Formas and the Swed-
ish Research Council. The authors would like to
acknowledge J
on H. Hallsson and
Aslaug Helgad
ottir
for helpful comments on the text and Vilhj
almur
Svansson for contribution of DNA samples.
Competing interests
Lisa S. Andersson and Gabriella Lindgren are co-
inventors on a patent application concerning com-
mercial testing of the DMRT3 mutation. Other authors
do not have any actual or potential competing inter-
ests.
References
Albertsd
ottir E., Eriksson S., N
asholm A., Strandberg E.,
Arnason T. (2007) Genetic analysis of competition data
on Icelandic horses. Livest. Sci.,110, 242250.
Albertsd
ottir E., Eriksson S., N
asholm A., Strandberg E.,
Arnason T. (2008) Genetic correlations between compe-
tition traits and traits scored at breeding field-tests in Ice-
landic horses. Livest. Sci.,114, 181187.
Albertsd
ottir E., Eriksson S., Sigurdsson
A.,
Arnason T.
(2011) Genetic analysis of ‘breeding field test status’ in
Icelandic horses. J. Anim. Breed. Genet.,128, 124132.
Alexander R.M. (1988) Why mammals gallop. Am. Zool.,
28, 237245.
Andersson S.L., Larhammar M., Memic F., Wootz H.,
Schwochow D., Rubin C.J., Patra K.,
Arnason T., Well-
bring L., Hj
alm G., Imsland F., Petersen J.L., McCue
M.E., Mickelson J.R., Cothran G., Ahituv N., Roepstorff
L., Mikko S., Vallstedt A., Lindgren G., Andersson L.,
Kullander K. (2012) Mutations in DMRT3 affect locomo-
tion in horses and spinal circuit function in mice. Nature,
488, 642646.
van Arendonk J.A.M., Smith C., Kennedy B.W. (1989)
Method to estimate genotype probabilities at individual
loci in farm livestock. Theor. Appl. Genet.,78, 735740.
Arnason T., Sigurdsson
A. (2004) International genetic
evaluations of the Icelandic horse. In: I. der van Honing
(ed), Book of Abstracts (No.10) of the 55th Annual
Meeting of the European Association for Animal Produc-
tion. Wageningen Academic Publishers, Bled, Slovenia,
pp. 327.
Arnason T., Van Vleck L.D. (2001) Genetic improvement
of the horse. In: A.T. Bowling, A. Ruvinsky (eds), The
Genetics of the Horse. CABI publishing, Massachusetts,
pp. 473497.
Clayton H.M. (2004) The dynamic Horse. Sport Horse Pub-
lications, Michigan, USA.
Drevemo S., Fredricson I., Dalin G., Bjorne K. (1980)
Equine locomotion: 2. The analysis of coordination
between limbs of trotting standardbreds. Equine Vet. J.,
12,6670.
Farley C.T., Taylor C.R. (1991) A mechanical trigger for
the trotgallop transition in horses. Science,253, 306
308.
Fernando R.L., Stricker C., Elston R.C. (1993) An efficient
algorithm to compute the posterior genotypic distribu-
tion for every member of a pedigree without loops.
Theor. Appl. Genet.,88, 573580.
FIZO. (2012) English FEIF Rules for Icelandic Horse
Breeding. (available at: http://www.feiffengur.com/doc-
uments/fizo12e.pdf. last accessed 01 February 2014).
Hugason K. (1994) Breeding of Icelandic toelter horses: an
overview. Livest. Prod. Sci.,40,2129.
Janss L.L.G., van der Werf J.H.J., van Arendonck J.A.M.
(1995) Computing approximate monogenetic model
likelihoods in large pedigree with loops. Genet. Sel. Evol.,
27, 567579.
Kerr R.J., Kinghorn B.P. (1996) An efficient algorithm for
segregation analysis in large populations. J. Anim. Breed.
Genet.,113, 457469.
Kinghorn B.P. (1997) An index of information content for
genotype probabilities derived from segregation analysis.
Genetics,145, 479483.
Lange K. (1997) Mathematical and Statistical Meth-
ods for Genetic Analysis. Springer-Verlag, New York,
USA.
MacCluer J.W., Boyce A.J., Dyke B., Weitkamp L.R.,
Pfennig D.W., Parson C.J. (1983) Inbreeding and pedi-
gree structure in Standardbred horses. J. Hered.,74,
394399.
SAS Institute Inc. (2009) SAS/STAT 9.2 User’s Guide, 2nd
edn. SAS Institute Inc, Cary, NC.
Sigurdard
ottir H. (2011) Athugun
a
urvalsstyrkleika og
erfðaframf
orum
ı einst
okum eiginleikum
ı
ıslenskri hros-
sarækt [Investigation of selection intensity and genetic
progress within breeding field test traits in Icelandic
horse breeding]. BSc dissertation, Agricultural Univer-
sity of Iceland, Department of Land and Animal
resources.
Wilson B.D., Neal R.J., Howard A., Groenendyk S. (1998)
The gait of pacers 2: factors influencing pacing speed.
Equine Vet. J.,20, 347351.
Zips S., Peham C., Scheidl M., Licka T., Girtler D. (2001)
Motion pattern of the toelt of Icelandic horses at differ-
ent speeds. Equine Vet. J. Suppl.,33, 109111.
©2014 Blackwell Verlag GmbH J. Anim. Breed. Genet. (2014) 1–1110
The effect of a mutation in DMRT3 on gaiting ability T. Kristjansson et al.
Supporting Information
Additional Supporting Information may be found in
the online version of this article:
Table S1. Attritbutes assessed in the scoring of gait
traits in breeding field tests for Icelandic horses and
their weight in the total score.
©2014 Blackwell Verlag GmbH J. Anim. Breed. Genet. (2014) 1–11 11
T. Kristjansson et al. The effect of a mutation in DMRT3 on gaiting ability
... The most prominent ROH island hot spot in the Icelandic horse was located on ECA23; a region harbouring genes such as the DMRT3 and DOCK8, both known to be causative or highly associated with gaits and performance in many horse breeds [71][72][73][74][75][76][77][78]. A single mutation [DMRT3:Ser301STOP marker at nucleotide position 22,999,655 on ECA23] in the DMRT3 gene, also referred to as the 'Gait keeper' mutation, alters the pattern of locomotion and has a predominant effect on gaiting ability in Icelandic horses [71,72]. ...
... The most prominent ROH island hot spot in the Icelandic horse was located on ECA23; a region harbouring genes such as the DMRT3 and DOCK8, both known to be causative or highly associated with gaits and performance in many horse breeds [71][72][73][74][75][76][77][78]. A single mutation [DMRT3:Ser301STOP marker at nucleotide position 22,999,655 on ECA23] in the DMRT3 gene, also referred to as the 'Gait keeper' mutation, alters the pattern of locomotion and has a predominant effect on gaiting ability in Icelandic horses [71,72]. The identified ROH harbouring the DMRT3 gene was the longest ROH (589 kb) identified in this study that was shared by over 70% of the Icelandic horses, indicating recent selection for this region. ...
... Even though the 'Gait keeper' mutation has been shown to be a causative factor for gaiting ability, it is highly unlikely that it is the single cause as shown by multiple studies [35,71,72,74,[76][77][78]83]. It is therefore possible that the DOCK8 gene contributes to the performance of gaits, alongside the DMRT3 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.
... DMRT3 (doublesex and mab-3-related transcription factor 3) is one of the main genes involved in vertebrate coordination of the front and hind limbs and control of stride length during locomotion [1][2][3][4][5]. A nonsense variant (g.22999655C>A, EquCab3.0) in the DMRT3 gene, which is responsible for the stop codon (DMRT3_Ser301STOP) and results in the production of a truncated protein that is 174 amino acids shorter than the wild-type protein, has an important effect on domestic horse diversification by determining the gait phenotypes in different horse breeds [1]. ...
... Conversely, the AA genotype did not demonstrate an association with superior performance, either early or late, in the Swedish-Norwegian Coldblooded Trotter breed used for harness racing [12]. Compared with the CA genotype, the AA genotype reinforces the coordination of ipsilateral legs, with a subsequent negative effect on the synchronized movement of contralaterally diagonal legs [3]. Several studies have associated the presence of two mutated alleles (AA) with gaited horses [2][3][4][5]7]. ...
... Compared with the CA genotype, the AA genotype reinforces the coordination of ipsilateral legs, with a subsequent negative effect on the synchronized movement of contralaterally diagonal legs [3]. Several studies have associated the presence of two mutated alleles (AA) with gaited horses [2][3][4][5]7]. An evaluation of free-ranging Icelandic gaited horses concluded that while horses with the CC genotype could exhibit the gait known as tölt, horses with mutated alleles displayed a greater ease in lateralized movement to perform tölt. ...
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Simple Summary In Brazil, the production of gaited mules has been a prominent activity in agribusiness. The selection of gaited saddle mules with a comfortable gait for covering long distances at low speeds involves crossing marching donkeys of the Pêga breeds with horses, preferably those belonging to the Mangalarga Marchador and Campolina breeds. The reference-C and non-reference-A alleles of the DMRT3:g.22999655C>A SNP are linked with different horse gaits, including the batida gait (diagonalized) and the picada gait (lateralized) in Mangalarga Marchador and Campolina horses, respectively. Since donkeys (Equus asinus) and mules (E. asinus ♂ x E. caballus ♀) also exhibit these gaits, this study aimed to determine whether the genotype affects the gait type in these animals. The higher frequency of CA mules and the rare presence of the A allele of DMRT3 in donkeys match previous findings in Mangalarga Marchador and Campolina horses, which are crucial in creating marching mules in Brazil. This suggests that the A allele likely came from the mares used in mating with donkeys. Furthermore, our findings suggest that factors beyond this gene variant, such as other genes and genetic variations, play a role in gait characteristics in equids. Abstract In Brazil, the production of mules with a comfortable gait primarily involves the breeding of marching saddle mules. This is achieved by crossing gaited Pêga donkeys with horses from the Mangalarga Marchador and Campolina breeds. The DMRT3:g.22999655C>A SNP is implicated in regulating gait phenotypes observed in various horse breeds, including the batida (CC) and picada (CA) gaits found in these horse breeds. We aimed to determine if genotypes influenced gait type in 159 mules and 203 donkeys genotyped for the DMRT3 SNP by PCR-RFLP analysis. About 47% of mules had the CC-genotype, while 53% had the CA-genotype. Donkeys predominantly had the CC-genotype (97%), and none had AA. Both CC- and CA-genotypes were evenly distributed among mules with the batida or picada gaits. In donkeys, the CC-genotype frequencies were consistent regardless of gait type. However, the CA-genotype was more common in picada-gaited donkeys than in batida-gaited donkeys. The prevalence of CA mules and the rare presence of the non-reference allele in donkeys align with previous findings in Mangalarga Marchador and Campolina horses. This suggests that the non-reference allele likely originated from the mares involved in donkey crosses. Our results also imply that factors beyond this variant, such as other genes and polymorphisms, influence gait traits in equids.
... A qualidade e diagrama dos diversos tipos de andamento são características sob seleção positiva nos equídeos 19,20 , principalmente em raças ou ecótipos brasileiros 4 . Várias raças equinas como o Campolina, Mangalarga, Mangalarga Marchador, o Paso Colombiano, o americano Tennessee Walking Horse, e o islandês Icelandic sofrem pressão seletiva baseada no diagrama e qualidade de andamento 6,9,10,14,22 . Os asininos também são selecionados e descritos como naturalmente possuidores de andamentos intermediários marchados, tanto no Brasil 8 quanto internacionalmente 30 . ...
... Consequentemente, os cavalos Icelandic são comumente classificados em quatro ou cinco andamentos. De fato, na raça, o genótipo DMRT3 A/A parece ser não somente permissivo, mas significantemente associado a capacidade de realizar o pace 14 , apesar de mais de 30% dos cavalos com genótipo DMRT3 A/A não conseguirem 10,14 . Estudos recentes apontam variantes nos genes RELN e STAU2 como importantes para a habilidade de realizar o pace no cavalo Icelandic, reiterando a ação poligênica sobre as características de andamento 29 . ...
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RESUMO: Em equídeos, andamentos marchados oriundos de ancestrais pré-históricos apresentam imensa diversidade e interesse. A capacidade de realizar andamentos marchados foi inicialmente associada a um polimorfismo de nucleotídeo único (SNP) no gene DMRT3. No entanto, a mutação também aparece em baixas frequências em raças sem andamento marchado e tem sido associada à redução da qualidade no trote e no galope. A influência do DMRT3_Ser301STOP varia, indicando controle genético complexo sobre os tipos de andamento. Notavelmente, o impacto da mutação na locomoção não é uniforme, sugerindo uma característica poligênica. O DMRT3_Ser301STOP tem implicações práticas para a seleção na melhoria do desempenho em competições específicas como atrelagem. No entanto, a dependência desta variante genética tem limitações, necessitando de mais pesquisas para compreensão dos mecanismos genéticos que regem a locomoção dos equídeos. Unitermos: Marcha, andamento, neurogenética, Mangalarga, Marchador, Campolina ABSTRACT: In equids, four-beat gaits originating from prehistoric ancestors present immense diversity and interest. The ability to perform such gaits was initially associated with a single nucleotide polymorphism (SNP) in the DMRT3 gene. However, the mutation also appears at low frequencies in breeds that do not gait, and has been associated with reduced quality in the trot and canter. The influence of DMRT3_Ser301STOP varies, indicating complex genetic control over gait types. Notably, the impact of the mutation on locomotion is not uniform, suggesting a polygenic trait. The DMRT3_Ser301STOP has practical implications for selection in improving performance in specific competitions such as driving. However, dependence on this genetic variant has limitations, requiring more research to understand the genetic mechanisms that control equine locomotion. Keywords: Marcha, gait, neurogenetics, Mangalarga, Marchador, Campolina
... In theory, gaits with periods of suspension where all four feet are in the air together and then make ground contact, such as the trot, hard pace, and gallop, compress the limb joints more than gaits that maintain ground contact, such as the walk or the alternative lateral gaits of the running walk, rack, broken pace, or broken trot, and in this way can make increased use of the elastic energy stored in the ligaments and tendons of the horse's legs, and there is less likelihood of ipsilateral feet interfering with each other. A flying pace treadmill simulation in Icelandic Horses at ca. 9.2-12.1 m/s produced very high mean heart rates (205)(206)(207) and mean lactate concentrations (11.9-18.5 mmol/L), with a respiratory rate at 33 breaths/minute after 30 min of recovery [73]. Even higher mean heart rates and/or lactate blood concentrations occurred in the speed pace (ca. 10 m/s) of the Standardbred Horse (heart rate 199-227 BPM; lactate 20.8-20.9 ...
... In other words, horse breeds that possess the A-allele (such as the Icelandic, Mangalarga Marchador, Paso Fino, Tennessee Walking Horse, and Saddlebred), when they wish to travel faster, tend to employ alternative lateral gaits based upon the same lateral sequence footfall pattern found in the walk (LH, LF, RH, RF) rather than transitioning to a diagonal trot or asymmetrical gallop. In fact, such horses (especially those homozygous for the A-allele) not only display an unwillingness to engage in trots and gallops but show poor quality versions for beat clarity and speed capacity (as rated by certified judges during breed-specific field tests) of trots and gallops when they do perform them [204,207,208]. ...
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Simple Summary Horse breeds with alternative lateral gaits, such as the running walk, rack, broken pace, hard pace, and broken trot, were important historically and are popular today among equestrians for their trail or pleasure gait and at horse shows. This article reviews what is known about these gaits, including their origin, distribution, kinematics, functional, and biomechanical advantages. It incorporates evidence from art, human history, fossil equid trackways, and genetics to provide a comprehensive overview of our current state of knowledge about the evolution and development of alternative lateral gaits as well as variations in their expression. Abstract This article traces the characteristics, origin, distribution, and function of alternative lateral horse gaits, i.e., intermediate speed lateral-sequence gaits. Such alternative lateral gaits (running walk, rack, broken pace, hard pace, and broken trot) are prized by equestrians today for their comfort and have been found in select horse breeds for hundreds of years and even exhibited in fossil equid trackways. After exploring the evolution and development of alternative lateral gaits via fossil equid trackways, human art, and historical writings, the functional and genetic factors that led to the genesis of these gaits are discussed. Such gaited breeds were particularly favored and spread by the Scythians, Celts, Turks, and Spaniards. Fast and low-swinging hard pacing gaits are common in several horse breeds of mountainous areas of East and North Asia; high-stepping rack and running walk gaits are often displayed in European and North and South American breeds; the broken pace is found in breeds of Central Asia, Southeast Asia, West Asia, Western North America, and Brazil in South America; and the broken trot occurs in breeds of North Asia, South Asia, the Southern United States, and Brazil in South America, inhabiting desert or marshy areas.
... The amble is a blanket term covering a large number of four-beat gaits performed by gaited horses that have the same footfall sequence as walk but vary in footfall timings and speed of progression. A horse's ability to amble and to pace is largely genetically determined by a nonsense mutation in the DMRT3 gene, also known as the "gait-keeper" gene [3,4]. Icelandic horses that are heterozygous for the DMRT3 mutation are able to tölt, and those that are homozygous can also pace [3]. ...
... It has also been reported in ridden Warmblood horses performing collected, working, medium and extended trot that diagonal dissociation was shortest during collection [32]. The fore-first dissociation in Icelandic horses may be associated with their lower quality of trot compared with the other breeds and may also be affected by the DMRT3 gene mutation seen in Icelandic horses [3,4]. ...
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Simple Summary Movement symmetry of the head and pelvis are used to measure lameness in horses in trot. Although head, pelvis and limb movements have been described, less is known about the temporal relationships between them. This information is needed to understand how the movements change with lameness. This is particularly relevant in gaited horses, such as the Icelandic horse that perform gaits such as tölt and pace, which are challenging to evaluate. This study used inertial measurement units to investigate head, withers and pelvis motion relative to limb movements in Icelandic, Warmblood and Iberian horses. Limb movements, together with vertical movements and lowest/highest positions of the head, withers and pelvis were calculated, and the relative timing of the events was compared across breeds. Additionally, data for tölt and pace were collected and evaluated in ridden Icelandic horses. For all gaits except walk and pace, the lowest/highest positions of the head/withers/pelvis were closely temporally related to midstance and hoof-off, respectively. Pelvic and withers total range of motion differed between all breeds. The Icelandic horses showed shorter stride duration and smaller movements of the upper body than the other breeds at trot, which may explain why lameness evaluation in this breed is challenging. Abstract Knowledge of vertical motion patterns of the axial body segments is a prerequisite for the development of algorithms used in automated detection of lameness. To date, the focus has been on the trot. This study investigates the temporal synchronization between vertical motion of the axial body segments with limb kinematic events in walk and trot across three popular types of sport horses (19 Warmbloods, 23 Iberians, 26 Icelandics) that are known to have different stride kinematics, and it presents novel data describing vertical motion of the axial body segments in tölting and pacing Icelandic horses. Inertial measurement unit sensors recorded limb kinematics, vertical motion of the axial body at all symmetrical gaits that the horse could perform (walk, trot, tölt, pace). Limb kinematics, vertical range of motion and lowest/highest positions of the head, withers and pelvis were calculated. For all gaits except walk and pace, lowest/highest positions of the pelvis and withers were found to be closely related temporally to midstance and start of suspension of the hind/fore quarter, respectively. There were differences in pelvic/withers range of motion between all breeds where the Icelandic horses showed the smallest motion, which may explain why lameness evaluation in this breed is challenging.
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Selection for performance in horse breeding benefits from precise genetic insights at a molecular level, but knowledge remains limited. This study used whole-genome sequences of 39 elite and non-elite Icelandic horses to identify candidate causal variants linked to previously identified haplotypes in the STAU2 and RELN genes affecting pace and other gaits. A frameshift variant in linkage disequilibrium with the previously identified haplotypes in the STAU2 gene (r² = 0.85) was identified within a predicted STAU2 transcript. This variant alters the amino acid sequence and introduces a premature stop codon but does not appear harmful or disease-causing and is potentially unique to equine biology. A large portion of the RELN haplotype overlapped with an H3K27me3 modification mark, suggesting a regulatory role of this region. Despite the small sample size, the RELN haplotype’s effects were validated for tölt, trot, and canter/gallop. Additionally, the RELN haplotype significantly influenced the age at which horses were presented for breeding field tests, indicating a potential role of the region in precocity and trainability. Functional experiments are needed to further investigate the regions’ influences on biological processes and their potential impact on horse performance.
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Racing performance traits are the main indicators for evaluating the performance and value of sport horses. The aim of this study was to identify the key genes for racing performance traits in Yili horses by performing a genome-wide association study (GWAS). Breeding values for racing performance traits were calculated for Yili horses (n = 827) using an animal model. Genome-wide association analysis of racing performance traits in horses (n = 236) was carried out using the Blink, and FarmCPU models in GAPIT software, and genes within the significant regions were functionally annotated. The results of GWAS showed that a total of 24 significant SNP markers (P < 6.05 × 10− 9) and 22 suggestive SNP markers (P < 1.21 × 10− 7) were identified. Among them, the Blink associated 16 significant SNP loci and FarmCPU associated 12 significant SNP loci. A total of 127 candidate genes (50 significant) were annotated. Among these, CNTN6 (motor coordination), NIPA1 (neuronal development), and DCC (dopamine pathway maturation) may be the main candidate genes affecting speed traits. SHANK2 (neuronal synaptic regulation), ISCA1 (mitochondrial protein assembly), and KCNIP4 (neuronal excitability) may be the main candidate genes affecting ranking score traits. A common locus (ECA1: 22698579) was significantly associated with racing performance traits, and the function of the genes at this locus needs to be studied in depth. These findings will provide new insights into the detection and selection of genetic variants for racing performance and will help to accelerate the genetic improvement of Yili horses.
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Background In domesticated animals, many important traits are complex and regulated by a large number of genes, genetic interactions, and environmental influences. The ability of Icelandic horses to perform the gait ‘pace’ is largely influenced by a single mutation in the DMRT3 gene, but genetic modifiers likely exist. The aim of this study was to identify novel genetic factors that influence pacing ability and quality of the gait through a genome-wide association study (GWAS) and correlate new findings to previously identified quantitative trait loci (QTL) and mutations. Results Three hundred and seventy-two Icelandic horses were genotyped with the 670 K+ Axiom Equine Genotyping Array, of which 362 had gait scores from breeding field tests. A GWAS revealed several SNPs on Equus caballus chromosomes (ECA) 4, 9, and 20 that were associated (p < 1.0 × 10–5) with the breeding field test score for pace. The two novel QTL on ECA4 and 9 were located within the RELN and STAU2 genes, respectively, which have previously been associated with locomotor behavior in mice. Haplotypes were identified and the most frequent one for each of these two QTL had a large favorable effect on pace score. The second most frequent haplotype for the RELN gene was positively correlated with scores for tölt, trot, gallop, and canter. Similarly, the second most frequent haplotype for the STAU2 gene had favorable effects on scores for trot and gallop. Different genotype ratios of the haplotypes in the RELN and STAU2 genes were also observed in groups of horses with different levels of pacing ability. Furthermore, interactions (p < 0.05) were detected for the QTL in the RELN and STAU2 genes with the DMRT3 gene. The novel QTL on ECA4, 9, and 20, along with the effects of the DMRT3 variant, were estimated to account jointly for 27.4% of the phenotypic variance of the gait pace. Conclusions Our findings provide valuable information about the genetic architecture of pace beyond the contribution of the DMRT3 gene and indicate genetic interactions that contribute to the complexity of this trait. Further investigation is needed to fully understand the underlying genetic factors and interactions.
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Pedigree structure and inbreeding levels were examined for 5207 Standardbred horses from six breeding farms in the northeastern United States and Canada. Inbreeding coefficients were calculated from pedigrees traced back as far as 30 ancestral generations. A detailed analysis of inbreeding and pedigree structure was done for the first 14 ancestral generations. Although Standardbred breeders tend to avoid very close inbreeding, nearly all horses with complete pedigrees are inbred within the first five ancestral generations. Standardbreds are shown to be interrelated in complex ways, through multiple remote ancestors. Inbreeding coefficients increase markedly with increasing pedigree depth, leveling off only after 10-12 generations. When completeness of pedigrees is taken into account, there is little evidence for an increase in inbreeding through time. A preliminary analysis of inbreeding as a function of gait suggests that trotters are more highly inbred than are pacers.
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Table of Contents: Breeding Goals • General formulation of breeding objectives • Racing horses • Riding horses • Other horse breeds Genetic Evaluations • Genetic Background and basic theory • BLUP – the current standard method for obtaining EBV • BLUP with the animal model – an effective tool for genetic evaluation of stallions and mares • Applications of BLUP for genetic improvement of horses • Use of non-additive genetic effects in horse breeding Selection – Genetic Response • Factors determining genetic progress • Observed genetic progress in several horse populations • Effects of selection on genetic variation and long-term progress • Selection in small populations • Selection using genetic markers References
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The Dynamic Horse is written for everyone who wants to understand equine biomechianics and locomotion. This book addresses key concepts including: tempo, rhythm, balance and collection; jumping mechanics, speed and economy of movement; characteristics of different gaits; lomomotor qualities that affect athletic performance and soundness.
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A Bayesian method to estimate genotype probabilities at a single locus using information on the individual and all its relatives and their mates has been developed. The method uses data over several generations, can deal with large numbers of individuals in large livestock families and allows for missing information. It can be extended to multiple alleles and can be used for autosomal or sex-linked loci. The allele frequencies and the form of expression (dominance, penetrance) must be specified. An algorithm using the method and involving an iterative procedure has been developed to calculate the genotype probabilities for practical use in livestock breeding. The method and algorithm were used to determine the accuracy of estimating genotype probabilities of sires for a female sex-limited trait, such as genetic variants of milk proteins. Data were similated and genotype probabilities estimated for 100 sires (20 replicates) with 3, 6 and 12 female offspring per sire, for different population frequencies, for additive and dominance gene action and for variable genotypic expression. Such simulation is useful in the design of testing systems for the use of information on specific genetic loci in selection.
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This paper describes a non-iterative, recursive method to compute the likelihood for a pedigree without loops, and hence an efficient way to compute genotype probabilities for every member of the pedigree. The method can be used with multiple mates and large sibships. Scaling is used in calculations to avoid numerical problems in working with large pedigrees.
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SYNOPSIS: Most mammals use symmetrical gaits (such as the trot) at moderate speeds but change to asymmetrical gaits (gallops) at high speeds. A mathematical model of quadrupedal gaits failed to show any advantage in this change: it seemed to show that, even at high speeds, there was always a symmetrical gait that was at least as economical as galloping. That model treated the back as rigid, but another model seemed to show that back movements such as occur in galloping could only increase the energy cost. However, metabolic measurements on horses showed that galloping is more economical than trotting at high speeds. The explanation seems to be that kinetic energy fluctuations, due to backward and forward swinging of the legs, become very large at high speeds. Galloping makes it possible for kinetic energy associated with leg movements to be stored briefly as strain energy in elastic structures in the back, and returned in an elastic recoil. The most important of the strain energy stores in the back, that have been discovered so far, is the aponeurosis of the longissimus muscle.
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In a study of the possibility of using competition data in the genetic evaluation of Icelandic horses, data from competitions held in Iceland between 1999 and 2004 and in Sweden between 1998 and 2004 were analyzed to estimate the genetic parameters of competition performance traits. The data-sets from both countries included 18 982 records of 3790 horses in 379 different events. Two types of competition were included: sport competitions and gæðinga competitions performed on oval tracks and on a straight track. Each type of competition involves several disciplines in which the horses are ridden in the various gaits. The traits analyzed were two different measures of four-gait, five-gait and tölt, and one pace trait. In both the four-gait and five-gait tests the gaits walk, trot, tölt and gallop are exhibited. In the five-gait test, pace is also exhibited. The traits tölt and pace are performances of these single gaits. Highly correlated and similar traits were combined, and three new traits relating to tölt, four-gait and five-gait were formed. No large differences in means or standard deviations of traits were found between countries. All traits were approximately normally distributed. Genetic parameters were estimated using linear animal models including the fixed effects of sex, age and event for all traits, and the level of discipline was included for some traits. Random permanent environmental effects were also included. Estimated heritabilities were moderate to high, ranging from 0.18 to 0.21 for sport-competition traits, from 0.33 to 0.35 for gæðinga-competition traits and from 0.19 to 0.22 for combined traits. Estimated genetic correlations between different sport-competition traits varied from 0.63 to 0.96, and between the two gæðinga-competition traits it was estimated at 0.43. Genetic correlations between sport- and gæðinga-competition traits ranged from −0.42 to 1.00. It was concluded that competition traits are suitable to include in genetic evaluations.