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marker-assisted selection in wheat - ictsd

marker-assisted selection in wheat - ictsd

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Chapter 10 – Strategies, limitations and opportunities for <strong>marker</strong>-<strong>assisted</strong> <strong>selection</strong> <strong>in</strong> livestock 173Thus, <strong>in</strong> those populations, only <strong>marker</strong>sthat are tightly l<strong>in</strong>ked to QTL may show anassociation with phenotype (Figure 1), andeven then there is no guarantee because ofthe chance effects of random sampl<strong>in</strong>g.There are two strategies to f<strong>in</strong>d <strong>marker</strong>sthat are <strong>in</strong> population-wide LD with QTL(see Table 1):• evaluat<strong>in</strong>g <strong>marker</strong>s that are <strong>in</strong>, or closeto, genes that are thought to be associatedwith the trait of <strong>in</strong>terest (candidategenes);• a genome scan us<strong>in</strong>g a high-density<strong>marker</strong> map, with a <strong>marker</strong> every 0.5 to2 cM.The success of both approaches obviouslydepends on the extent of LD <strong>in</strong> thepopulation. Studies <strong>in</strong> human populationshave generally found that LD extends overless than 1 cM. Thus, many <strong>marker</strong>s areneeded to obta<strong>in</strong> sufficient <strong>marker</strong> coverage<strong>in</strong> human populations to enable detectionof QTL based on population-wide LD.Opportunities to utilize population-wideLD to detect QTL <strong>in</strong> livestock populationsmay be considerably greater because of theeffects of <strong>selection</strong> and <strong>in</strong>breed<strong>in</strong>g. Indeed,Farnir et al. (2000) identified substantialLD <strong>in</strong> the Dutch Holste<strong>in</strong> population,which extended over 5 cM. Similar resultshave been observed <strong>in</strong> other livestock species(e.g. <strong>in</strong> poultry, Heifetz et al., 2005).The presence of extensive LD <strong>in</strong> livestockpopulations is advantageous for QTLdetection, but disadvantageous for identify<strong>in</strong>gthe causative mutations of theseQTL; with extensive LD, <strong>marker</strong>s that aresome distance from the causative mutationcan show an association with phenotype.The candidate gene approach utilizesknowledge from species that are rich <strong>in</strong>genome <strong>in</strong>formation (e.g. human, mouse),effects of mutations <strong>in</strong> other species, previouslyidentified QTL regions, and/orknowledge of the physiological basis oftraits, to identify genes that are thoughtto play a role <strong>in</strong> the physiology of thetrait. Follow<strong>in</strong>g mapp<strong>in</strong>g and identificationof polymorphisms with<strong>in</strong> the gene,associations of genotype at the candidategene with phenotype can be estimated(Rothschild and Plastow, 1999).Whereas the candidate gene approachfocuses on LD with<strong>in</strong> chosen regions of thegenome, recent advances <strong>in</strong> genome technologyhave enabled sequenc<strong>in</strong>g of entiregenomes, <strong>in</strong>clud<strong>in</strong>g of several livestock species;the genomes of the chicken and cattlehave been sequenced and public sequenc<strong>in</strong>gof the genome of the pig is under way.In addition, sequenc<strong>in</strong>g has been usedto identify large numbers of positions <strong>in</strong>the genome that <strong>in</strong>clude SNPs, i.e. DNAbase positions that show variation. Forexample, <strong>in</strong> the chicken, over 2.8 millionSNPs were identified by compar<strong>in</strong>g thesequence of the Red Jungle Fowl with thatof three domesticated breeds (InternationalChicken Polymorphism Map Consortium,2004). This, comb<strong>in</strong>ed with reduc<strong>in</strong>g costsof genotyp<strong>in</strong>g, now enables detection ofQTL us<strong>in</strong>g LD-mapp<strong>in</strong>g with high-density<strong>marker</strong> maps.QTL detection us<strong>in</strong>g comb<strong>in</strong>ed LDand l<strong>in</strong>kage analysis <strong>in</strong> outbredpopulationsAs <strong>marker</strong>s may not be <strong>in</strong> complete LDwith the QTL, both population-wideassociations of <strong>marker</strong>s with QTL and cosegregationof <strong>marker</strong>s and QTL with<strong>in</strong>families can be used to detect QTL. Us<strong>in</strong>gthese comb<strong>in</strong>ed properties of be<strong>in</strong>g bothLD and LE <strong>marker</strong>s, methods have beendeveloped to comb<strong>in</strong>e LD and l<strong>in</strong>kage<strong>in</strong>formation. These methods are furtherexplored under genetic evaluation models<strong>in</strong> what follows.

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