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marker-assisted selection in wheat - ictsd

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Chapter 15 – Marker-<strong>assisted</strong> <strong>selection</strong> <strong>in</strong> forestry species 291Kirst et al. (2004) measured transcriptabundance <strong>in</strong> 2 608 genes <strong>in</strong> the differentiat<strong>in</strong>gxylem of 91 E. grandis backcrossprogeny. QTL analysis of lign<strong>in</strong>-relatedtranscripts (expressed gene QTL [eQTL])showed that their mRNA abundance isregulated by two genetic loci. Coord<strong>in</strong>ateddown-regulation of genes encod<strong>in</strong>g lign<strong>in</strong>enzymes was observed <strong>in</strong> fast grow<strong>in</strong>g <strong>in</strong>dividuals,<strong>in</strong>dicat<strong>in</strong>g that the same genomicregions are regulat<strong>in</strong>g growth and the lign<strong>in</strong>content and composition <strong>in</strong> the progeny.Comparative mapp<strong>in</strong>g has shown that genecontent and gene order are conserved overlong chromosomal regions among relatedspecies. Comparative maps are thereforelikely to play an important role <strong>in</strong> enabl<strong>in</strong>g<strong>in</strong>formation on gene location andfunction to be transferred between speciesand genera. However, this will depend onorthologous genetic <strong>marker</strong>s be<strong>in</strong>g mapped<strong>in</strong> each species (Krutovskii and Neale,2001). To date, comparative maps have beenpublished for Populus (Cervera et al., 2001),P<strong>in</strong>us (Devey et al., 1999; Krutovsky et al.,2004), Quercus and Castanea (Barrenecheet al., 2004).MAS, based on QTL, is most likely to beused for with<strong>in</strong>-family <strong>selection</strong> <strong>in</strong> a limitednumber of elite families that can be propagatedclonally for deployment <strong>in</strong> large-scale<strong>in</strong>dustrial plantations. It is most suitablefor traits that are expensive to measure orcan only be detected after plants have beensubjected to a particular stress or pathogen,and that have poor juvenile-mature correlations.Limitations of the approach <strong>in</strong>cludethe low resolution of the <strong>marker</strong>-trait associations,the low proportion of phenotypicvariation expla<strong>in</strong>ed by QTL (generallyless than 10 percent), and the low successrate <strong>in</strong> validat<strong>in</strong>g QTL <strong>in</strong> different geneticbackgrounds and environments (Sewell andNeale, 2002). Recomb<strong>in</strong>ation-based methodologieshave been applied to <strong>in</strong>bred cropl<strong>in</strong>es to positionally clone genes of <strong>in</strong>terest<strong>in</strong> QTL regions (Salvi et al., 2002); however,the use of this technique <strong>in</strong> forest treesis not practicable due to their outcross<strong>in</strong>gbreed<strong>in</strong>g system.Population-based associationstudiesLimitations of the QTL approach have ledto a change <strong>in</strong> research focus towards identify<strong>in</strong>gvariations <strong>in</strong> the DNA sequence ofgenes directly controll<strong>in</strong>g phenotypic variation,known by some as GAS. One of thema<strong>in</strong> advantages of association genetics isthe high resolution of <strong>marker</strong>-trait associations.As natural populations are used<strong>in</strong> association studies, recomb<strong>in</strong>ations thataccumulate over many generations of thepopulation break any long range associationsbetween <strong>marker</strong> and trait leav<strong>in</strong>g shortstretches of the genome associated with thetrait. If alleles or SNPs can be found that arestrongly associated with superior phenotypes,they can be used for <strong>selection</strong> acrossbreed<strong>in</strong>g populations. This methodology isbetter suited to tree breed<strong>in</strong>g programmes,which aim to ma<strong>in</strong>ta<strong>in</strong> a broad genetic base,i.e. programmes with a large number offamilies. In contrast, the QTL approach isused for with<strong>in</strong>-family <strong>selection</strong>. Spuriousassociations may be observed <strong>in</strong> associationstudies where there is undetectedgenetic structure <strong>in</strong> the breed<strong>in</strong>g populationthat <strong>in</strong>validates standard statisticaltests. Strategies for deal<strong>in</strong>g with populationstratification have been developed to avoidthese problems (Pritchard et al., 2000; Wuand Zeng, 2001).In the first association study published<strong>in</strong> forest trees, Thumma et al. (2005)identified 25 common SNP <strong>marker</strong>s <strong>in</strong>the lign<strong>in</strong> biosynthesis gene CCR fromEucalyptus nitens. Us<strong>in</strong>g s<strong>in</strong>gle-<strong>marker</strong>

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