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IBC2000-3 Genetics
Livestock Genomics -
Applications in Novel Farmed Species
Dr. Stephen S. Moore
Chair: Beef Genomics
Agricultural, Food and Nutritional Science
University of Alberta
| The following
article was originally presented at the International Bison
Conference in Edmonton, Alberta in August 2000. The
conference covered a wide array of bison topics including
production, marketing, genetics, history and much more.
This article has been reprinted with the permission of the
IBC2000 Chairman. |
Introduction
In the second half of the twentieth century, the way we have grown
food has changed dramatically. This change has been driven by
improvements in farm practices due to mechanization and economies of
scale, but also by the selection of animals and plants that have far
greater potential for productivity than the breeds available half a
century ago. The pace of change has been increasing with the last
decade of the twentieth century witnessing the development of new
technologies based on the analysis and, in plants, the manipulation
of DNA.
An
example of the pace of change can be seen in the cattle industry.
Cattle have been farmed for millennia over which time the major beef
and dairy breeds were developed. Many of these breeds were dual
purpose, serving both a dairy and meat producing function. Beginning
in the 1950’s intense selection based on production traits was
adopted. This was particularly so in the dairy industry resulting in
the Holstein cattle, which have been universally adopted by dairy
producers worldwide.
In
the beef industry, a different approach has been pursued. Many beef
breeds were selected not directly on production traits, which in
many cases were extremely difficult to measure in the live animal,
but on traits thought to be associated with production or product
quality. This approach still continues, however more precise, direct
measurements are becoming possible. Beginning in the 1980’s cross
breeding began to be adopted by the beef industry. This took
advantage of the boost in production due to heterosis. Shortly
afterward, individual animal evaluation based “breeding value”
methods were developed which could assign a value to an animal based
on the performance of all that animals relatives.
DNA
Based Genetic Testing
A new revolution in genetics began in the 1980’s with the
development of DNA based testing. By the 1990’s some cattle
enterprises were using DNA marker assisted selection in their
breeding programs. These strategies were best adopted in large
breeding herds and so the dairy industry has taken the lead.
One
may ask why the use of DNA markers is of interest in cattle,
particularly when some breeds are so highly developed. The answer is
in the power the technology brings. It is particularly useful for
traits that are difficult or expensive to measure. Once a DNA marker
has been identified for a trait, selection can be based on the
marker. It thus becomes possible to assess markers linked to milk
production traits in dairy bulls or meat quality traits in live
animals. DNA markers also have utility in detecting and eliminating
disease gene mutations, in increasing the frequency of advantageous
but rare genes in the population, and in the introgression of genes
from one population into another.
DNA
markers have great potential in addressing one of the dilemmas of
selective breeding. When selecting animals for a particular trait or
traits one is trying in effect to “fix” the favourable traits
within the population. At the same time one is trying to maintain as
much of the other genetic diversity as possible. Intense selection
based on phenotype can lead to low effective population size. This
issue can be easily addressed by using DNA markers to monitor the
genetic variation within a selection line.
With
the potential of DNA based markers for selection of traits
controlled by single genes established the next issue was that of
quantitative or continuously variable traits. Such traits, for
example growth rate, were thought to be controlled by a large number
of genes each contributing a very small part of the variation seen
in a population. This notion was challenged in the 1980’s, the new
hypothesis being that far fewer genes of relatively large effect
were responsible for quantitative variation. This question was
tested in cattle and other species in large QTL (Quantitative Trait
Loci) mapping studies undertaken in the USA, Australia and Europe.
Indeed genes having large effects on quantitative traits were
identified and DNA markers developed in or close to these genes are
being used in breeding programs worldwide.
The
Use of Markers in Novel Species
As exciting as these results are for multi-billion dollar industries
such as the beef and dairy industries, what is the utility of the
technology in more novel industries such as bison? I will give an
example of how a very simple application of DNA markers resulted in
a demonstrable benefit to one novel animal industry.
The
example I will give is the farming of marine shrimp. At first glance
this may seem a long way from ranching bison, however there are some
parallels between the two industries. Both industries are farming
animals that have until relatively recently been harvested from the
wild. There is therefore a huge potential for genetic improvement,
as the animals have never been selected for production traits. Both
industries also rely on the differentiation of their product to gain
market access. In the case of bison it is the fact that bison meat
has properties not possessed by beef. In shrimp it is the value that
the particular species (Karuma Shrimp) has in the Japanese market,
which makes farming the animals viable. Farmers of both species are
very aware that it is the difference rather than the similarities
that are important for marketing.
The
DNA marker application I will discuss is the use of markers for
determining parentage. The mating of shrimp is usually carried out
in large tanks with multiple males and females. It was therefore
impossible to apply within family selection or to carry out mass
selection and still monitor genetic diversity. Some species of
farmed shrimp had already been shown to be approaching an
unacceptable level of inbreeding due to lack of information about
parentage. We applied DNA based parentage in a breeding scheme aimed
at selecting for increased growth rate. It was possible to assign
animals to particular families and to use a scheme of rotational
mating between families in order to maximize genetic diversity.
Click
blue icon for full view
Fig.
1. Size classes in grams of selected and unselected shrimp.
The
results of the selection trial are shown in Fig. 1.
Frequency of unselected shrimp are shown by the bars on the
left of each size class (horizontal bars and dotted line) while
animals selected over 3 generations are shown on the bar on the
right of each size class (gray scale and gray line). The bars in the
centre (dark shade and solid line) show gains after one generation.
It was clear that the selection resulted in more animals appearing
in the larger classes. More important still for the producer was the
fact that a higher dollar value per kilogram was achieved for the
higher size classes. In other words the larger shrimp were worth
more per kilogram than the smaller. This is shown in Fig. 2 where a
34% increase in value per kilogram was achieved for the selected
line.
Click
blue icon for full view
Fig.
2. Average
return per kilogram at harvest for selected and unselected shrimp.
So
it is clear that dramatic gains can be made through the
application of DNA based technologies to novel farmed species. As
our understanding of the genetic basis of life improves even more
opportunity will present itself. The entire sequence of the genome
of our own species (Homo sapiens) has recently been determined.
What is clear is that, at this level of resolution, the genes of
human and those of cattle, or bison, are not very different.
Advances in human genetic research will impact significantly on
other species, including livestock.
The
deliverable will include simple and cost effective tests, which
can, with some certainty, predict the attributes of an individual
animal, or it’s offspring throughout the production cycle. We
will also better understand how specific genes interact to
influence the phenotype of an animal.
Practically
this will enable:
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The selection of superior brood-stock
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The elimination of non performers
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The selection of animals targeted for particular
environments
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Better predictors of returns
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Management schemes tailored to the genotypes of the
animals
All
of these technologies rely on one fundamental. We must always
return to the animal resource. It is the variation present in any
population of animals, which allows us to improve the line or
breed. We must be able in the first instance to recognize and
monitor this genetic variation for any scheme, regardless of how
high tech, to return benefits to the producer.
A
further word of caution should be given here. The last thing a
producer, dependant on the uniqueness of the product wants to do
is make this product more like that of the mainstream. Bison meat
is attractive to the consumer, not because it is similar to beef,
but because of the differences between it and beef. This should
always be kept in mind for any breeding scheme. Selection criteria
should be chosen with care. Too much emphasis on any single trait
could very rapidly lead to deleterious results with regard to
other traits. Attention must also be paid to maintaining a
genetically diverse base. Any bottleneck a species encounters will
lead to the loss of potentially valuable genes. Within these
bounds, the use of DNA based, as well as more traditionally based
selection schemes can have very positive results in novel species
such as bison.
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