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Redesigning Animal Agriculture

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72 K. Prayaga and A. Reverter<br />

it is crucial to implement this knowledge<br />

in the breeding programmes to achieve<br />

any long-term progress. However, most of<br />

these adaptive traits are difficult to measure<br />

under field conditions and hence cannot be<br />

easily improved through selection. One of<br />

the alternatives to improve tropical adaptability<br />

has been exploiting breed complementarity<br />

through crossbreeding. With the<br />

advent of new molecular genetic technologies,<br />

efforts are being made to identify major<br />

genes and QTL associated with these traits.<br />

Olson et al. (2003) reported evidence of a<br />

major gene responsible for sleek hair coat in<br />

Senepol and Criollo cattle. Barendse (2005a)<br />

reported five genetic regions of the bovine<br />

genome for associations to tick resistance.<br />

These developments were possible because<br />

of the advances in molecular genetics.<br />

Molecular Revolution<br />

The molecular revolution has the potential<br />

to have a huge impact on domestic animal<br />

breeding. Simultaneously animal breeding,<br />

through its extensively recorded phenotypes,<br />

pedigrees, and resource populations<br />

in wide-ranging environmental conditions<br />

subjected to both natural and artificial selection,<br />

contributes to the advances in molecular<br />

genetic studies. This is no different to<br />

the symbiotic relationship between animal<br />

breeding and statistics.<br />

Ever since the studies on molecular<br />

genetic markers were initiated, there have<br />

been several questions regarding the relevance<br />

of traditional animal breeding tools<br />

such as pedigree and performance-based<br />

selection and there were predictions about<br />

one or more DNA tests essentially replacing<br />

these traditional genetic evaluation systems.<br />

We are now into two decades of this<br />

debate and almost reached the completion<br />

of bovine genome sequencing and now, more<br />

than ever, we are convinced that the molecular<br />

information needs to be utilized in conjunction<br />

with the traditional selection tools<br />

for making breeding decisions. However,<br />

this does not undermine the importance of<br />

the knowledge gained through molecular<br />

genetic advances and there are several areas<br />

where the genetic markers or the discovery<br />

of functional mutations has directly led<br />

to characterizing Halothane (RYR1) locus<br />

and mutation causing increased glycogen<br />

content in meat (PRKAG3) in pig breeding<br />

(Andersson, 2001). Several of these mutations<br />

also cause simple monogenic disorders<br />

as catalogued in the Online Mendelian<br />

Inheritance in <strong>Animal</strong>s (OMIA – http://omia.<br />

angis.org.au/).<br />

Andersson and Georges (2004) and<br />

Womack (2005) have reviewed the recent<br />

advances in livestock genomics and their<br />

realized and potential contributions to both<br />

human biology and agricultural science.<br />

Some of the early developments that led to<br />

the current ability to sequence the bovine<br />

genome are:<br />

1. Early mapping techniques (somatic cell<br />

genetics and in situ hybridization) leading<br />

to synteny and cytogenetic maps (Womack<br />

and Moll, 1986; Yerle et al., 1995);<br />

2. DNA-level markers for building maps<br />

and mapping traits (Beckman and Soller,<br />

1983)<br />

3. Microsatellite markers leading to linkage<br />

maps (Barendse et al., 1994; Bishop et al.,<br />

1994);<br />

4. Further expansion of maps (Barendse<br />

et al., 1997; Kappes et al., 1997);<br />

5. Radiation hybrid map for higher resolution<br />

comparative mapping (Womack et al.,<br />

1997; Williams et al., 2002; Itoh et al., 2005).<br />

A single partially inbred Hereford female<br />

was selected to contribute 6x whole genome<br />

shotgun reads and another 1.5x from individual<br />

animals of Holstein, Angus, Jersey,<br />

Limousin, Brahman, and Norwegian<br />

Red breeds for SNP (Single Nucleotide<br />

Polymorphism) detection. Current map status<br />

and genomic resources available in various<br />

livestock species are presented in Table<br />

5.2. Recent reviews of the bovine genome<br />

sequence and its likely impact on genetics<br />

research of beef cattle include those of<br />

Dalrymple (2005) and Womack (2006).<br />

The primary aim of any of the farm<br />

animal genome sequencing and/or development<br />

of SNPs is initially to locate the<br />

regions, and ultimately, the causal muta-

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