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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 3351999). Although it is possible to use basequality values to discern true allelic variationsfrom sequenc<strong>in</strong>g errors, validationis a key step for true positive detection ofSNPs (Marth et al., 1999). This is generallycarried out us<strong>in</strong>g a proportion of the SNPsdetected <strong>in</strong> a sample of <strong>in</strong>dividuals from thetarget population. This strategy has beenused recently for SNP detection us<strong>in</strong>g ESTsequences from Atlantic salmon (Panitz etal., 2002; Hayes et al., 2004).L<strong>in</strong>kage mapsA l<strong>in</strong>kage map is an ordered collection ofthe genes and genetic <strong>marker</strong>s occurr<strong>in</strong>galong the lengths of the chromosomes ofa species, with distances between themestimated on the basis of the number ofrecomb<strong>in</strong>ation events observed <strong>in</strong> the data.Genetic l<strong>in</strong>kage maps have been publishedfor ra<strong>in</strong>bow trout (Young et al., 1998;Sakamoto et al., 2000; Nichols et al., 2003),channel catfish (Waldbieser et al., 2001),tilapias (Kocher et al., 1998; Lee et al., 2005)and Japanese flounder (Coimbra et al.,2003). References to updated l<strong>in</strong>kage mapsof the major aquaculture species are given<strong>in</strong> Table 1. Dense l<strong>in</strong>kage maps <strong>in</strong>clud<strong>in</strong>ga relatively large number of <strong>marker</strong>s areunder development.Different patterns of recomb<strong>in</strong>ationappear among regions of l<strong>in</strong>kage groups <strong>in</strong>certa<strong>in</strong> male maps, with <strong>marker</strong>s clustered<strong>in</strong> centromeric regions, an extremeexample be<strong>in</strong>g Atlantic salmon whererecomb<strong>in</strong>ation <strong>in</strong> males is greatly reduced(Moen et al., 2004b). The molecularmechanisms responsible for the differences<strong>in</strong> recomb<strong>in</strong>ation rates between sexes arenot well understood, although studies onmodel organisms such as zebrafish, wheregenomic sequenc<strong>in</strong>g is currently underway, may help to clarify this (S<strong>in</strong>ger etal., 2002).Us<strong>in</strong>g <strong>marker</strong>s to aidconventional fish and shellfishbreed<strong>in</strong>g programmesMolecular <strong>marker</strong>s may be used <strong>in</strong> a numberof ways to aid conventional breed<strong>in</strong>g of fishand shellfish species, and some of these aredescribed and exemplified below.Parentage analysisOne of the ma<strong>in</strong> constra<strong>in</strong>ts fac<strong>in</strong>g effectivebreed<strong>in</strong>g programmes for fish and shellfishis that newborn <strong>in</strong>dividuals are too small tobe tagged <strong>in</strong>dividually. Application of theanimal model approach (i.e. us<strong>in</strong>g a statisticalgenetic model to predict <strong>in</strong>dividualbreed<strong>in</strong>g values) requires tagg<strong>in</strong>g a constantnumber of <strong>in</strong>dividuals from each familywith passive <strong>in</strong>tegrated transponders (PITtags) when they become sufficiently largeafter a period of <strong>in</strong>dividual family rear<strong>in</strong>g.However, this system of early managementcreates common environmental (i.e.tank) effects for full-sib families (Mart<strong>in</strong>ez,Neira and Gall, 1999). To address thisissue, mixtures of equal-aged progeny fromdifferent families can be reared communallyto preclude the development of suchfamily-specific environmental effects, andgenetic <strong>marker</strong>s can be used subsequentlyto assign <strong>in</strong>dividuals to families after evaluationof <strong>in</strong>dividual performance (Doyleand Herb<strong>in</strong>ger, 1994). Thus, the impactof early common environmental effectsis considerably reduced if <strong>marker</strong>s areused for parentage analysis when select<strong>in</strong>g<strong>in</strong>dividuals for early growth rate traits(Herb<strong>in</strong>ger et al., 1999; Norris, Bradley andCunn<strong>in</strong>gham, 2000).The amount of <strong>marker</strong> data needed toachieve acceptable levels of correct parentageassignment depends on the numberof loci, the number of alleles and the numberof parent-pairs (sires and dams) availablefor reconstruct<strong>in</strong>g the pedigree (Jamieson

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