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marker-assisted selection in wheat

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Chapter 15 – Marker-<strong>assisted</strong> <strong>selection</strong> <strong>in</strong> forestry species 287Over 80 000 ESTs have been sequencedfrom p<strong>in</strong>e (http://p<strong>in</strong>etree.ccgb.umn.edu/),over 130 000 from poplar (http://poppel.fysbot.umu.se/) and over 100 000 fromspruce (www.arborea.ulaval.ca/en/; www.treenomix.ca/).Comprehensive microarrays (Shena etal., 1996) are now be<strong>in</strong>g used <strong>in</strong> manyof these species, allow<strong>in</strong>g transcriptionprofil<strong>in</strong>g of thousands of genes <strong>in</strong>contrast<strong>in</strong>g phenotypes <strong>in</strong> a range of tissuesunder different environmental/stress/developmental regimes. Identification ofcandidate genes from expression profil<strong>in</strong>gis based on the assumption that the genesshow<strong>in</strong>g genotype-specific differences <strong>in</strong>their level of expression are caus<strong>in</strong>g variation<strong>in</strong> that trait (Morgante and Salam<strong>in</strong>i, 2003).Microarrays are be<strong>in</strong>g used to identify genesthat are regulated differentially <strong>in</strong> <strong>in</strong>dividualswith contrast<strong>in</strong>g wood traits <strong>in</strong> eucalypts(Moran et al., 2002), symbiosis-regulatedgenes <strong>in</strong> Eucalyptus globulus-Pisolithust<strong>in</strong>ctorius ectomycorrhiza (Voiblet et al.,2001) and genes <strong>in</strong>volved <strong>in</strong> embryogenesis<strong>in</strong> p<strong>in</strong>es (van Zyl et al., 2003). Us<strong>in</strong>gmicroarrays, many genes <strong>in</strong>volved <strong>in</strong> cellwall biosynthesis have been identified<strong>in</strong> loblolly p<strong>in</strong>e (Whetten et al., 2001;Pavy et al., 2005), eucalypts (Paux et al.,2004) and hybrid aspen (Populus tremulax P. tremuloides) (Hertzberg et al., 2001).A comb<strong>in</strong>ation of proteomics, whichexam<strong>in</strong>es changes <strong>in</strong> prote<strong>in</strong> expression <strong>in</strong>different tissue and developmental stages,and microarray technology is also be<strong>in</strong>gused to give a more complete picture ofgene function, for example of droughttolerance <strong>in</strong> P<strong>in</strong>us p<strong>in</strong>aster (Plomion et al.,2004). This discovery work is uncover<strong>in</strong>glarge numbers of candidate genes that areexcellent targets for both QTL mapp<strong>in</strong>gand association studies aimed at identify<strong>in</strong>g<strong>marker</strong>s for use <strong>in</strong> MAS.Family-based genetic l<strong>in</strong>kagemapp<strong>in</strong>g and QTL analysisGenetic l<strong>in</strong>kage or recomb<strong>in</strong>ation mapp<strong>in</strong>grelies on f<strong>in</strong>d<strong>in</strong>g sufficient polymorphismus<strong>in</strong>g DNA <strong>marker</strong>s <strong>in</strong> progeny arraysfrom full-sib pedigrees to identifyassociations between l<strong>in</strong>ked loci on a chromosome.Genetic l<strong>in</strong>kage maps have beenconstructed for most of the commerciallyimportant forest tree genera (summarized<strong>in</strong> Table 1), and updated <strong>in</strong>formation ongenetic l<strong>in</strong>kage maps for forest trees isavailable at http://dendrome.ucdavis.edu/<strong>in</strong>dex.php. The number and location ofchromosomal regions affect<strong>in</strong>g a trait(QTL) and the magnitude of their effectcan then be <strong>in</strong>vestigated by QTL mapp<strong>in</strong>g.QTL are identified by a statistical associationbetween variation <strong>in</strong> a quantitativetrait and segregation of alleles at a <strong>marker</strong>locus <strong>in</strong> a segregat<strong>in</strong>g population (mapp<strong>in</strong>gpedigree).Most phenotypic traits of <strong>in</strong>terest for treebreed<strong>in</strong>g are characterized by cont<strong>in</strong>uousvariation. Such traits are usually <strong>in</strong>fluencedby a number of genes with a small effect<strong>in</strong>teract<strong>in</strong>g with other genes and the environment.The ma<strong>in</strong> traits targeted for QTLmapp<strong>in</strong>g are wood properties and traitsrelated to adaptation and growth (reviewedby Sewell and Neale, 2000). These <strong>in</strong>cludephysical wood properties that affect thestrength of sawn timber (e.g. wood densityand microfibril angle), and properties thataffect paper pulp<strong>in</strong>g, e.g. pulp yield, fibrelength and the relative proportion of cellulose,hemicellulose and lign<strong>in</strong>, generallymeasured as percentage cellulose. In addition,QTL have been identified for diseaseresistance, growth, flower<strong>in</strong>g, vegetativepropagation, frost tolerance and leaf oilcomposition (Table 2).The detection of QTL requires largesample sizes; the lower the heritability

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