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marker-assisted selection in wheat - ictsd

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192Marker-<strong>assisted</strong> <strong>selection</strong> – Current status and future perspectives <strong>in</strong> crops, livestock, forestry and fishsexes and/or have a low heritability (e.g.egg production, disease resistance, carcassquality and welfare traits).Limit<strong>in</strong>g factors for application ofMAS (Muir, 2003) <strong>in</strong>clude biological factors(reproductive capacity) and manytheoretical considerations related to theeffectiveness of MAS (e.g. divert<strong>in</strong>g <strong>selection</strong>pressure from polygenes to a s<strong>in</strong>glemarked gene), which are generally applicableto MAS <strong>in</strong> livestock (Dekkers, 2004;Chapter 10). One of the concerns of Muir(2003) is the expected lack of major QTLfor traits that have been under <strong>selection</strong>for many generations (follow<strong>in</strong>g simulationresults). However, recent QTL studieswith<strong>in</strong> commercial l<strong>in</strong>es of pigs (Evanset al., 2003; Nagam<strong>in</strong>e et al., 2003) andpoultry (de Kon<strong>in</strong>g et al., 2003, 2004) havedemonstrated that many sizeable QTL arestill segregat<strong>in</strong>g <strong>in</strong> commercial populationsdespite decades of <strong>selection</strong>.There is strong academic <strong>in</strong>terest <strong>in</strong>chicken genomics outside agriculture from,among others, developmental biologists andevolutionary geneticists, and this has contributedgreatly to the development of thecurrent functional genomics toolbox availablefor chicken. Among livestock species,chickens are best placed to pioneer newapproaches where QTL studies are complementedby gene expression studies (Liuet al., 2001a) or where they become fully<strong>in</strong>tegrated with<strong>in</strong> “genetical genomics” (deKon<strong>in</strong>g, Carlborg and Haley, 2005; deKon<strong>in</strong>g and Haley, 2005).If poultry breeders decide to embraceMAS, one of the ma<strong>in</strong> questions iswhether they are prepared to re-structuretheir breed<strong>in</strong>g programmes aroundMAS or implement these around theircurrent breed<strong>in</strong>g strategies. Adopt<strong>in</strong>g theterm<strong>in</strong>ology of Dekkers (2004), there arethree levels of MAS: gene-<strong>assisted</strong> <strong>selection</strong>(GAS) where the functional mutation andits effects are known; l<strong>in</strong>kage disequilibriumMAS (LD-MAS) where a <strong>marker</strong> (or<strong>marker</strong> haplotypes) is <strong>in</strong> population-widedisequilibrium with a QTL; and l<strong>in</strong>kageequilibrium MAS (LE-MAS) where <strong>marker</strong>sare <strong>in</strong> Hardy-We<strong>in</strong>berg equilibrium withthe QTL at the population level, but l<strong>in</strong>kagedisequilibrium exists with<strong>in</strong> families. Afourth type of MAS that was recentlyproposed is “genome-wide MAS” (GW-MAS), where dense <strong>marker</strong>s (i.e. SNPs)across the genome are used to predictthe genetic merit of an <strong>in</strong>dividual withouttarget<strong>in</strong>g any <strong>in</strong>dividual QTL or measur<strong>in</strong>g(expensive) phenotypes on every generation(Meuwissen, Hayes, and Goddard, 2001).Integrat<strong>in</strong>g current evaluations with MASis most straightforward for GAS and LD-MAS because the QTL effect can be <strong>in</strong>cluded<strong>in</strong> rout<strong>in</strong>e evaluations as a fixed effect(Chapter 10). LE-MAS, on the other hand,requires extensive genotyp<strong>in</strong>g and fairlycomplicated statistical procedures (Wang,Fernando and Grossman, 1998), while GW-MAS reduces the genome to a “black-box”but does not require <strong>selection</strong> of QTLus<strong>in</strong>g arbitrary thresholds. Furthermore,the dense <strong>marker</strong> <strong>in</strong>formation requiredfor GW-MAS may dispense with oftenfaulty pedigree records because all pedigree<strong>in</strong>formation is encoded <strong>in</strong> the genome-widegenotypes.In terms of quantitative genetic theory,there are ongo<strong>in</strong>g developments <strong>in</strong> thetools required to detect and evaluate QTL<strong>in</strong> arbitrary pedigrees, mov<strong>in</strong>g away fromstrictly additive-dom<strong>in</strong>ance models toepistasis and parent-of-orig<strong>in</strong> effects (Liu,Jansen and L<strong>in</strong>, 2002; Shete and Amos,2002). At the same time, the technology toanalyse more than 10 000 SNPs <strong>in</strong> a s<strong>in</strong>gleassay is available, and a cost of as little asUS$0.02 per genotype is likely for chicken

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