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marker-assisted selection in wheat - ictsd

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Chapter 17 – Marker-<strong>assisted</strong> <strong>selection</strong> <strong>in</strong> fish and shellfish breed<strong>in</strong>g schemes 343populations: full-sib mat<strong>in</strong>g, hierarchicalmat<strong>in</strong>g, or double haploid designs. Thisanalysis suggested that the use of doublehaploids appeared to be of benefit whendetect<strong>in</strong>g QTL, particularly when both thevariance of the QTL and of the polygeniceffects was small. Furthermore, given therelatively large size of full-sib families <strong>in</strong>fish, there appeared to be little advantageof hierarchical mat<strong>in</strong>g over full-sib mat<strong>in</strong>gdesigns for detect<strong>in</strong>g QTL, the optimumfamily size depend<strong>in</strong>g on the size of theQTL and the population structure usedfor mapp<strong>in</strong>g (Mart<strong>in</strong>ez, Hill and Knott,2002). The ga<strong>in</strong> <strong>in</strong> power of the double haploiddesign comes from the <strong>in</strong>crease <strong>in</strong> thevariance of the Mendelian sampl<strong>in</strong>g termwith<strong>in</strong> families, which is effectively doubledfor traits that are expla<strong>in</strong>ed by additiveeffects (Falconer and Mackay, 1996).As experimental sett<strong>in</strong>gs constra<strong>in</strong> thetotal number of <strong>in</strong>dividuals genotyped,designs aimed at QTL mapp<strong>in</strong>g should<strong>in</strong>clude a small number of families of relativelylarge size <strong>in</strong> order to maximizethe likelihood of detect<strong>in</strong>g the QTL. Thisis because most of the <strong>in</strong>formation formapp<strong>in</strong>g QTL uses l<strong>in</strong>kage <strong>in</strong>formationthat comes from with<strong>in</strong>-family segregation(Muranty, 1996; Xu and Gessler, 1998).However, <strong>in</strong>creas<strong>in</strong>g power comes at theexpense of reduc<strong>in</strong>g the accuracy of estimat<strong>in</strong>gthe additive genetic variance forpolygenic effects. A QTL mapp<strong>in</strong>g methodhas been developed for double haploids,which efficiently accommodates all theuncerta<strong>in</strong>ties that perta<strong>in</strong> to outbred populations,such as unknown l<strong>in</strong>kage phasesand differ<strong>in</strong>g levels of <strong>marker</strong> <strong>in</strong>formativeness,us<strong>in</strong>g the identical-by-descentvariance component method (see below;Mart<strong>in</strong>ez, 2003). Also, it is possible to comb<strong>in</strong>edouble haploids and outbred relatives<strong>in</strong> the same family. Simulations of differ<strong>in</strong>gamounts of <strong>marker</strong> <strong>in</strong>formation and heritabilityfor the QTL were used to comparethe empirical power of the double haploidand full-sib designs. While the power ofthe full-sib design was lower than that fordouble haploids, QTL position estimatesfor double haploids had large confidence<strong>in</strong>tervals (about 30 cM as compared with 40cM for full-sibs; Mart<strong>in</strong>ez, 2003).The double haploid design was usedfor mapp<strong>in</strong>g QTL for stress response <strong>in</strong>common carp us<strong>in</strong>g s<strong>in</strong>gle <strong>marker</strong> analysis(Tanck et al., 2001). The authors foundonly suggestive evidence for QTL, which isnot surpris<strong>in</strong>g due to limited genome coveragefor <strong>marker</strong>s used <strong>in</strong> the analysis.Published results have shown that doublehaploid l<strong>in</strong>es are a useful resource for QTLdetection studies. However, double haploidl<strong>in</strong>es are difficult to develop due to theexpression of deleterious recessive alleles(McCune et al., 2002) and the low survivalfollow<strong>in</strong>g shocks applied to restore diploidyto the haploid embryo. As the rate of malerecomb<strong>in</strong>ation is depressed, the precisionof mapp<strong>in</strong>g QTL <strong>in</strong> androgenetic families islower than that obta<strong>in</strong>ed us<strong>in</strong>g recomb<strong>in</strong>ationevents from females. Another practicalmatter is the labour needed for develop<strong>in</strong>ga clonal l<strong>in</strong>e, as at least two generations arerequired (Figure 3). This delay can be quiteexpensive and time-consum<strong>in</strong>g for specieswith a long generation <strong>in</strong>terval, such assalmon or trout (two to four years).Aspects of QTL mapp<strong>in</strong>g <strong>in</strong> outbredpopulations of fishInbred l<strong>in</strong>e crosses are ideal for mapp<strong>in</strong>gQTL because they are expected to be completely<strong>in</strong>formative for both <strong>marker</strong>s andQTL, provid<strong>in</strong>g that the <strong>in</strong>bred l<strong>in</strong>es arefixed for alternative alleles. Outbred populationsare not completely <strong>in</strong>formative forboth QTL and <strong>marker</strong>s; thus, experimental

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