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The Australian Bloodhorse Review September, 2006
Link between specific genes and racing performance In April, 2006 Dr. Stephen Harrison of Thoroughbred Genetics Ltd. and Dr. Juan Luis Turrion-Gomez of the University of Salamanca published a peer-reviewed scientific paper in the international journal Mitochondrion, which shows, for the first time, an association between specific genes and racing performance. Here they describe the practical aspects of their findings. Thoroughbred breeding
and racing has a prominent practical side to it where horsemanship, husbandry
and management count for a lot. It is sometimes easy to forget about the
breeding of a useful horse and the underlying basis for its success…the
genetic hand of cards it has been dealt. The heritability of racing
performance has been broadly estimated at anywhere between 35% and 63%. The
curious lower figure of 35% has also been popularly distilled from scientific
studies to represent the contribution made by genetic factors to racing
performance. Where it suits, this is sometimes dismissively quoted as being
‘only’ 35%. Only? Putting this into perspective, 35% is a big contribution
for a single factor to make. The multitude of other variables including,
nutrition, training, jockeyship, veterinary care, soundness and injuries,
environmental factors affecting development during growth and let’s not
forget luck, have to share the other 65% portion between them. In reality, it is
difficult to attach a retrospective, scientific value to the overall
contribution of genetics simply because if a foal has not been dealt a decent
hand of genes in the first place it will not respond adequately to the other
factors in any case. We all know that there are no-hopers that have been dealt
such a bum hand that no amount of fine grains, lasix and swimming pools will
help them. Whichever way you look at it, genetics is a big player in
influencing the way a horse will perform. If that were not the case then we
would not have fine sires and poor sires, good dams and bad dams. Our latest research,
reported in Mitochondrion, is an attempt to provide useful, usable data
based on bona fide genetics principles and research, which have
practical relevance to breeding and racing and are not part of a merely
academic exercise. The ability to identify key genetic phenomena and metabolic
processes involved in performance and to manipulate or manage the underlying
sizeable genetic contribution to greater effect could translate to significant
improvements on the racetrack. We focussed our attention on a group of candidate
genes, which we suspected of being of importance to racing performance. These
genes are normally inherited only from the dam and can therefore be
transmitted down the generations solely via the female or dam line. They can
be passed to a colt and function within him but he is unable to transmit them
to his offspring. These genes are the mitochondrial genes and are significant
as they are involved in energy release in muscle cells through the production
of an energy rich chemical called ATP. Although
there are only 13 of these genes contributing directly to energy release, the
mitochondrial DNA (mtDNA) molecule, of which they are part, has an estimated
10,000 copies per muscle cell. That means there are potentially 9,998 more
copies of mitochondrial genes per cell than there are copies of genes
inherited via the ‘standard’ parental route. This potentially makes them
major players in the determination of performance characteristics. The role of
these genes in the athletic performance of humans has already been shown and
their importance has been further established via their links with a range of
medical conditions in humans including muscular disorders,
heart muscle problems and exercise intolerance. The mitochondrial genes
form part of larger respiratory complexes, which also include genes
transmitted by both sire and dam via the chromosomal route. However, as the
study of differences in the performance of varying female families is a
well-known feature of thoroughbred breeding, it was our objective to determine
if there was variation in the genes carried on the mtDNA by different female
lines and whether this resulted in any obvious performance differences. We
selected DNA samples from a group of 1,000 thoroughbreds and these covered the
majority of European, US and Australian female lines in existence. In the lab,
we multiplied the genes of interest in each sample millions of times to
provide genetic material for further analysis and applied DNA sequencing and a
scoring process called SSCP to check whether different versions of the genes
were present in the various female lines. Eight genes had a number of variants
distributed between the different families. Scoring the variant of each of
these genes in each horse and combining the information allowed us to assign
all horses to one of 17 genetic groups or ‘haplotypes’. Using a unique
classification system, each group was assigned a Roman numeral. As mtDNA is principally inherited via the maternal
route, we would expect all members of the same family to have the same
haplotype. This was not the case. In our analysis of these genes in horses
from 33 different female families, we identified 28 ‘incorrect’
sub-branches carrying mtDNA that would not have been expected from pedigree or
studbook information. These anomalies were spread over 19 of the 33 lines
(58%) examined. Naturally, to allow observation of performance trends within
families and haplotypes, it was important for us to be able to identify those
lines, which showed irregularities. However, the objective of this work was
not to correct the thoroughbred studbooks (a futile and impossible task) but
to assess the potential role of the mtDNA in performance. Clearly, it would have been impractical to analyse
numerous representative horses (amounting to hundreds) of each haplotype on
treadmills, taking biochemical measurements. To circumvent this problem we
employed a study that could essentially link specific gene versions
potentially affecting muscular energy release and stamina with actual
racetrack performances, as if it were our own physiological trial. Using the
data from the DNA analysis, we were able to determine the probable mtDNA
haplotype of members of the current international thoroughbred populations and
to make corrections when necessary. We were also able to assign haplotypes to
past winners of major horse races. The complete study took into account 2yo,
3yo and Weight for Age races covering France, Ireland, USA and Australia but
the paper reported in the journal covers UK 3yo races run between 1954 and
2003. The shortest race was the 1400m Greenham Stakes and the longest the
2800m St. Leger. Dividing the percentage
of wins by a haplotype by the percentage of it’s predicted occurrence in the
general population provided a success or Race Index (RI) for the haplotype for
each race. Five haplotypes, accounting for 51.6% of the total 3yo population,
showed significant correlations between RI and race distance. Three haplotypes
II, XV and XVI leant towards shorter distances and Type XI and Type IV to
longer. The order of racing merit amongst these haplotypes changed depending
on the distance of race under consideration and the age group looked at.
Similarly, some haplotypes showing useful Race Indices or stamina leanings at
3yo did not figure prominently at 2yo and vice versa. In all, when
other racing ages were considered, the number of haplotypes showing stamina
bias rose to eleven, covering 80% of the population. The importance in
recognising the difference between family performance characteristics and
those of the haplotype is clear. The term ‘haplotype’ is not synonymous
with ‘family’ and the latter is an unreliable quantity. Nowhere was this
more apparent than in the example of past Melbourne Cup winner Jeune, whom we
were lucky enough to study. The haplotype associated with a large proportion
of his family members has a clear leaning towards 1000m performances at 2yo
but Jeune actually turned out to carry a gene grouping that is associated with
greater stamina levels at Weight For Age level and in other diverse family
lines. That is, his particular family sub-branch had been incorrectly recorded
at sometime in the past. That may not have been a bad thing and probably
supported his general breeding to a greater degree. Had he been of the
expected haplotype, it is conceivable that he might have achieved nothing.
Horses with errant pedigrees like his have enabled us, through the
construction of databases, to determine which gene versions other horses
should be carrying and what their basic limitations might be. The frequency of each
haplotype present in the population varied according to the age group looked
at, although some were the same. There are also differences in the
distribution of the different genetic types between some of the countries,
which affects their relative success. The European percentages seem to have
remained relatively constant over 100 years but it is noticeable in the US and
Australian systems that there have been some dramatic shifts. There is
probably a difference in the emphasis of stamina. For instance, in the USA and
Australia, there are fewer longer stamina tests and this puts a different
emphasis on haplotype requirements. In the paper, the wider range of running
distances available at 3yo in Europe certainly permits greater opportunity for
some of the haplotypes to demonstrate clearer stamina leanings. However,
rather than suggesting that breeders select mares of specific haplotype, the
broader results indicate that there are specific niches for a number of
haplotypes in racing and that it is possible to manage mares more effectively
to make the most of basic stamina attributes affected by the genes studied. Many thoroughbreds are a mixed genetic bag made up
of a range of varying genetic and stamina components. Genetic variability in a
horse makes it less of a consistent breeding and racing proposition. The
policy of mating of sires and dams of different stamina potential contributes
to this and leads to a mixture of un-co-ordinated genes in the progeny. There
has been no obvious common selection goal in thoroughbred breeding. This is
due in part to commercial pressure but the range of racing distances available
also provides people with an excuse not to bother. The result is
unpredictability. Improvement in the co-ordination of the genetic components
of stamina is a key to improving success. The simple mode of inheritance of the
mitochondrial genes, down the dam line, means they are easier to manage than
chromosomal genes. This, together with their variable stamina preferences,
makes them a useful framework around which to build more co-ordinated breeding
programs based on stamina. Using DNA analyses in conjunction with our
databases describing haplotype expectations and trends we are aiming to
co-ordinate genes that support common stamina and precocity objectives. For
example, through the co-ordination of breeding to complement the stamina
specific mtDNA carried by a mare. Breeders are on a different side of the fence to those in the industry who are presented with a ready-made horse with which to work. There is no question of breeders apportioning an importance value to genetics. They need to supply the raw racing material and to them, the way the genetic cards are dealt, before the other factors come into play, is everything. Certainly, there are a number of genetic variables at work but if we are able to ensure that some of the basics are in place, then success has a better chance of following.
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