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marker-assisted selection in wheat - ictsd

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266Marker-<strong>assisted</strong> <strong>selection</strong> – Current status and future perspectives <strong>in</strong> crops, livestock, forestry and fishhigher-throughput, higher polymorphismtyp<strong>in</strong>g systems such as microsatellites,organized <strong>in</strong> dense genetic maps (Brondaniet al., 1998; Thamarus et al., 2002). Only 137autosomal microsatellite <strong>marker</strong>s have beenpublished to date for species of Eucalyptus,<strong>in</strong>clud<strong>in</strong>g 67 from E. globulus, E. nitens,E. sieberi and E. leucoxyon (Byrne et al.,1996; Steane et al., 2001; Glaubitz, Emebiriand Moran, 2001; www.ffp.csiro.au/tigr/molecular/eucmsps.html; Ottewell et al.,2005) and 70 from E. grandis and E. urophylla(Brondani et al., 1998; Brondani,Brondani and Grattapaglia, 2002). Recentlya set of 35 chloroplast DNA microsatelliteswas developed based on the full cp-DNAsequence of E. globulus (Steane, Jones andVaillancourt, 2005). Microsatellite transferabilityacross species of the subgenusSymphyomyrtus, which <strong>in</strong>cludes all themost widely planted species, varies between80 and 100 percent depend<strong>in</strong>g on the sectionto which they belong. It still rema<strong>in</strong>saround 50 to 60 percent for species of differentsubgenera such as Idiogenes andMonocalyptus and goes down to 25 percentfor the related genus Corymbia (Kirstet al., 1997). Microsatellite comparativemapp<strong>in</strong>g data have also shown that genomehomology across species of the same subgenusSymphyomyrtus is very high, notonly <strong>in</strong> terms of microsatellite flank<strong>in</strong>gsequence conservation, but also <strong>marker</strong>order along l<strong>in</strong>kage maps (Marques et al.,2002). Although some tens of microsatelliteshave been mapped on exist<strong>in</strong>g RAPDand AFLP framework maps (Brondani,Brondani and Grattapaglia, 2002; Marqueset al., 2002; Thamarus et al., 2002), thegenus Eucalyptus still lacks a more comprehensivegenetic map widely useful formolecular breed<strong>in</strong>g practice. To fill this gap,a novel set of 230 new microsatellites hasrecently been developed and a consensusmap assembled cover<strong>in</strong>g at least 90 percentof the recomb<strong>in</strong><strong>in</strong>g genome of Eucalyptus.This map has 234 mapped loci on 11 l<strong>in</strong>kagegroups, an observed length of 1 568 cM anda mean distance between <strong>marker</strong>s of 8.4cM (Brondani et al., 2006). This representsan important step forward for Eucalyptuscomparative genomics, open<strong>in</strong>g stimulat<strong>in</strong>gperspectives for evolutionary studies andmolecular breed<strong>in</strong>g applications. The generalizeduse of an <strong>in</strong>creas<strong>in</strong>gly larger setof <strong>in</strong>terspecific transferable <strong>marker</strong>s andconsensus mapp<strong>in</strong>g <strong>in</strong>formation will allowfaster and more detailed <strong>in</strong>vestigations ofQTL synteny among species, validationof QTL and expression-QTL across variablegenetic backgrounds, and position<strong>in</strong>gof a grow<strong>in</strong>g number of candidate genesco-localized with QTL, to be tested <strong>in</strong>association mapp<strong>in</strong>g experiments.QTL mapp<strong>in</strong>g <strong>in</strong> EucalyptusFollow<strong>in</strong>g the construction of l<strong>in</strong>kagemaps, several groups have reported theidentification of genomic regions that havea significant effect on the expression of economicallyimportant traits <strong>in</strong> Eucalyptus.QTL mapp<strong>in</strong>g experiments have, withoutexception, found a few major effect QTLfor all traits considered <strong>in</strong> spite of the limitedexperimental precision, the lack ofpre-designed pedigree to maximize phenotypicsegregation, and the relatively smallsegregat<strong>in</strong>g populations evaluated. This canbe expla<strong>in</strong>ed by the undomesticated natureand wide genetic heterogeneity of eucalyptsadded to the fact that most QTL mapp<strong>in</strong>gexperiments were carried out <strong>in</strong> <strong>in</strong>terspecificpopulations thus tak<strong>in</strong>g advantage ofcontrast<strong>in</strong>g gene pools. QTL for juveniletraits such as seedl<strong>in</strong>g height, leaf area andseedl<strong>in</strong>g frost tolerance have been mapped(Vaillancourt et al., 1995b; Byrne et al.,1997a, b), while traits related to vegetative

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