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Australian Breeding
& Racing Magazine
March 2010 Downloadable magazine hi-res article
Playing God By
Dr. Steve Harrison, Director of Thoroughbred Genetics Ltd., U.K. As a nation
of thoroughbred breeders and owners, Australians have a progressive outlook
with regard to the use of new technology to gain a competitive edge. This puts them ahead of many of their more traditional
counterparts in Europe. However, recent debates about the roles of artificial
insemination and genetic testing in breeding and racing continues to raise
many questions about what is possible, what is needed and what is ethical or
even politically acceptable. There is a
common thread in both the AI and the genetic discussions and that is in the
potential for inbreeding to increase within the thoroughbred due to the use of
‘selection-enhancing’ technologies. The latter, in particular, merits
consideration because it is possible to base selection on possession of
specific preferred gene versions and so, inadvertently, eliminate less
fashionable but equally valuable traits. Before
considering further parallels it might be worth marking out the playing field
as far as the thoroughbred gene pool is concerned. Breeding
thoroughbred racehorses is unlike any other process involving different
commercial species. Successful animals come in relatively variable shapes and
sizes, and more often than not, it is difficult to argue a precise genetic
reason for their success. It might be
feasible to suggest that, after over three hundred years, useful versions of
key genes involved in determining performance will have been fixed through
selection and that only small differences exist. However, this may not be so.
Unlike strictly agricultural animals, thoroughbreds are not objectively
selected for the likes of live weight gain, milk yields or wool quality. They
have the opportunity to perform over a range of distances and as a
consequence, there is no uniform selection pressure. Although
broad selection is for more speed-orientated animals these days, the term
‘selection’ is a little tongue in cheek. Naturally, many of the mares bred
from are poor quality and have not been ‘selected’ at all. Many will even
have entered breeding careers earlier than anticipated because they have
broken down or have physical problems. Most positive gene selection is via the
handful of top-class colts entering stud each year. Breeding from lesser mares
diminishes selection and fixation of positive gene versions in the breed per
se. Arguably and ironically this may contribute to breed diversity whilst,
at the same time, maintaining the presence of undesirable genetic factors in
the population. However, there might be some mileage in suggesting that useful
race mares are valuable animals and are retained by wealthier individuals with
access to proven and more expensive sires. Consequently, there may be some
genetic fixation within an elite ‘premier division’ of top class families
which is distinct from the lower divisions. In actuality, although they all
belong in the same book, there is certainly already more than one thoroughbred
gene pool. The
‘general’ gene pool is in a natural state of flux and adaptation. Breeding
trends change and as a whole, we are now selecting for stamina capabilities
very different from fifty years ago, let alone two hundred. In terms of
performance it is arguably futile to consider the prowess or genetic influence
of very distant ancestors, as excessive tests of stamina are no longer
relevant. It doesn’t
take much to divert the flow of the genes in the population. Even via the
natural selection methods used over the last hundred years, significant
changes to the gene pool occur. Although it has been in a controlled and
steady manner, one clear example of this is seen in relation to mtDNA,
inherited only down the dam line. The genes carried on this type of DNA have a
role in determining the stamina potential of a horse. In one of our own
studies on horses in the UK and the USA we have seen a shift in the population
structure of these genes due to a change in emphasis on fashionable racing
distances. We can divide all thoroughbreds into groups based on their
mitochondrial genes. From this we can work out the percentages of these groups
in the general population in different time periods. In the results of the
unpublished study summarized in the table below we can see how, with many
mitochondrial groups, that there has been significant change in their
percentage representation in the populations in the USA and the UK over a 100
year period. So, it is possible to effect quite a
change via normal selection practices. Use of artificial selection practices
based on a narrow selection criterion does have the potential to speed up
population change significantly. However the degree to which they are employed
or regulated will affect the impact. The results of the Arrowfield
Standardbred population study carried out by Peter Jenkins indicate that use
of relatively unrestricted AI can result in an increase in inbreeding and
diminution of the genepool with little contribution to enhanced stallion
fertility. However, the benefits of AI are broader than just potentially
increasing fecundity. Similarly, it should be easy to regulate by limiting the
number of artificial coverings using certification. There are many benefits
but really only one major downside and that is controllable. AI is a very
attractive proposition that can make life easier for everybody, horses and
humans alike. The legal challenge to the sport’s
governing bodies, about the use of AI, planned by Bruce McHugh may find some
support in the lack of consensus between the sport’s global influential
associations and some international legal precedents may soon be set. Whereas,
the Australian authorities may take a dim view of artificial methodology, in
Ireland the Irish Thoroughbred Breeders Association is already lending some
support to selection of racehorses based on the use of single-gene selection
methods. Whilst they are probably cost prohibitive to many and are likely to
be used on an irregular basis, they also have potential to result is the loss
of genetic material and diversity. In his struggle to present the case for AI
to the authorities, Mr. McHugh may seek some solace in this and see some light
at the end of the AI tunnel. Our own area is in genetic testing and
assessment of thoroughbreds. It is always interesting for us to look at the
parallels of DNA-based tools with AI in terms of gene pool effects. The most
effective and responsible use of DNA analysis in managing the thoroughbred
genepool and breeding structure requires a balance of maintaining diversity
whilst being realistic about the types and number of genes that will affect
physical performance. What exactly is the current state of
play regarding the number of potential genes involved in athletic performance
in racehorses? The best indication comes from the field of human performance
genetics, where better insights have been gained as a result of greater
financial support from the world of medicine. On a regular basis, workers in
the human field supply updates on the number of genes ratified for implication
in affecting athletic performance. In 2009 this number was estimated to be
around 250 compared with 140 in 2004. The number is therefore rising
consistently. It is obvious from this that athletic
performance is controlled by a multi-factorial, genetic complex. All
contributing genes are just components. We are a long way off the pace in
racehorse breeding but the principles and mechanisms are the same, i.e. many
genes are involved. At Thoroughbred Genetics in 2006 we
reported the first instance of an association between specific genes and
thoroughbred performance. Further work has been carried out since and this
year, the University of Dublin furnished details of the MSTN gene that
affects muscle mass. However, we are still talking about components. It is good to know the effects of
single genes and to take note of their action but because many genes are
involved in performance, single gene approaches for the selection and breeding
of horses are not appropriate. If we considered selection based on any single
gene, two possible pitfalls readily come to mind and these are more likely to
affect the ‘premier division’ breeders and horses. Firstly, a heterozygous horse will not
‘breed true’ and knowing it is heterozygous for any performance gene has
diminished value in helping a breeding decision because it could be capable of
producing numerous genotypes in the offspring. As a result, breeders could
then shy away from heterozygous breeding stock and avoid using heterozygous
stallions. If any test is used to select against heterozygous animals, this
could increase inbreeding in the population. Additionally, selection based on
a single gene that correlates with performance could lead to other correlating
gene versions being overlooked. Another effect will be that stallion owners will not want it
publicized that a potential sire is heterozygous, as it is less likely to be
prepotent. This would be unfortunate as heterozygous animals are likely to be
the most genetically sound. Importantly, from a commercial viewpoint, they
could miss out on 2-3 years of nomination fees that they normally take before
people realise the horse doesn't ‘breed true’. In this respect, although
more upfront, it wouldn’t make much commercial sense for large stallion
owners to publicize heterozygous stallions as they will not be prepotent. Certainly, as many geneticists and practical breeders agree,
finding or breeding the desired speed/stamina attributes of a horse is a key
to success. Because performance is genetically multifactorial and setting
aside commercial concerns, much use can be made of analyses that are not so
specific but give a broader picture of a horse’s stamina or performance
potential. Importantly, these are not quite so damaging in terms of losing
genetic diversity in the population. As an example, the chart illustrates
such an approach to selecting or scoring horses on a multiple gene marker
approach. Using a large number of non-specific DNA markers it is possible to
group horses into clusters based on similarity. Each symbol in the chart
refers to a DNA sample from a specific horse and tends to group them in line
with stamina range. The letters on each of the charts represent a specific
horse whose profile we are trying to assess. Horse ‘G’ is the dam of the
other horses. ‘N’ is a Melbourne Cup placed horse by a stayer and MD and
CB are half brothers by milers. There are general stamina groups but with some
overlap. Although the dam and the Melbourne Cup horse are stayers, it can be
seen that, by using miler sires, we are able to move the stamina of the
progeny more towards the shorter range group. Gaining an idea of a horse’s
stamina cluster can assist us in knowing how far we need to shift the stamina
profile of the progeny, which sires might be best to achieve this and even,
what the potential stamina range an eventual foal may have. On top of this, further use can be made of multiple gene
markers to provide an added safety net for preserving genetic diversity by
monitoring heterozygosity levels. There is an optimal level that is
desirable in a horse. Below this, an animal is too inbred and there is a
danger it may be subject to harmful inbreeding depression and less likely to
perform well. Too far above this level will make the animal too outbred and an
unreliable breeding prospect and also means that fewer useful genes affecting
performance might be ‘fixed’. This is important and cannot necessarily be
determined by pedigree. Taking account of a horse’s heterozygosity enables
prediction of the potential status of resulting foals through calculations
based on the mate’s pedigree and vice versa. This allows us to aim
for the optimum level in the foal, giving the best chances of performance and
breeding success. From the graphs it can be seen that the dam’s
heterozygosity is quite low at 46%. As the three progeny all have higher
values, we can also see that choice of sire can be used to increase genetic
variation in the progeny whilst shifting the stamina profile to a desirable
position. In essence, we are able to more
accurately manage stamina potential without the need to discard horses on the
basis of single gene determinants, thereby preserving genetic variability and
health. At this stage, where the main criticism
levelled at the use of artificial insemination is the potential to limit the
thoroughbred gene pool we must always ensure that this is where comparisons
between gene testing and AI end and that it is clear that new genetic
technologies can be used to responsibly manage the breed. Contact: Dr. Steve Harrison +44 1227 732472 Website: www.thoroughbredgenetics.com
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