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marker-assisted selection in wheat - ictsd

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Chapter 14 – Marker-<strong>assisted</strong> <strong>selection</strong> <strong>in</strong> Eucalyptus 267propagation ability such as adventitiousroot<strong>in</strong>g, stump sprout<strong>in</strong>g and <strong>in</strong> vitro shootmultiplication have also been detected(Grattapaglia, Bertolucci and Sederoff,1995; Marques et al., 1999), as has a majorQTL for early flower<strong>in</strong>g (Missiaggia,Piacezzi and Grattapaglia, 2005). In addition,QTL for <strong>in</strong>sect resistance and essentialoil traits were mapped (Shepherd, Chaparroand Teasdale, 1999) and recently a majorQTL for Pucc<strong>in</strong>ia psidii rust resistance withquasi Mendelian <strong>in</strong>heritance was found andmapped <strong>in</strong> E. grandis (Junghans et al., 2003).Major QTL were also found for rotationage traits such as volume growth, woodspecific gravity, bark thickness and stemform (Grattapaglia et al., 1996; Verhaegenet al., 1997; Thamarus et al., 2004; Kirst etal., 2004, 2005b).Although QTL of relatively large effectshave been detected for growth traits, whenit comes to potential application <strong>in</strong> MASthe best opportunities for QTL mapp<strong>in</strong>gare those related to specialized wood propertiesthat have a direct impact on <strong>in</strong>dustrialprocesses. These traits are usually difficult tomeasure both because they require destructivewhole stem sampl<strong>in</strong>g and because theyare traits that are expressed late. Myburg(2001) demonstrated the application of <strong>in</strong>direct,high-throughput phenotyp<strong>in</strong>g of woodquality traits <strong>in</strong> Eucalyptus by near <strong>in</strong>fraredreflectance spectroscopy (NIRS) for QTLmapp<strong>in</strong>g <strong>in</strong> a hybrid E. grandis x E. globulusbackcross population. Approximately300 <strong>in</strong>dividuals that had been previouslygenotyped with AFLP <strong>marker</strong>s were analysedby NIRS, and predictions made forpulp yield, alkali consumption, basic density,fibre length and coarseness, and severalwood chemical properties (lign<strong>in</strong>, celluloseand extractives). A variety of molecular<strong>marker</strong> classes and pedigree types wereused <strong>in</strong> these experiments. QTL weredetected <strong>in</strong> F 1 , <strong>in</strong>bred or outbred F 2 andhalf-sib families with or without clonalreplicates. Also look<strong>in</strong>g at wood qualitytraits, Thamarus et al. (2004) used novelhigh-throughput and traditional methodsto quantify wood density, fibre length, pulpyield and microfibril angle (MFA) <strong>in</strong> twofull-sib families of E. globulus that shareda common parent. Pulp yield and cellulosecontent were determ<strong>in</strong>ed by NIRS, andMFA was quantified by SilviScan. Exceptfor fibre length, QTL for all traits couldbe detected <strong>in</strong> both populations, <strong>in</strong>clud<strong>in</strong>gthree QTL <strong>in</strong> common genetic regions onboth crosses for wood density, one for pulpyield and one for MFA. The proportionof phenotypic variation expla<strong>in</strong>ed by theQTL identified <strong>in</strong> both crosses ranged from3.2 to 15.8 percent.Recently QTL analysis of transcriptlevels of lign<strong>in</strong>-related genes showed thattheir mRNA abundance is regulated bytwo genetic loci co-localized with QTL forgrowth, suggest<strong>in</strong>g that the same genomicregions are regulat<strong>in</strong>g growth, lign<strong>in</strong> contentand composition (Kirst et al., 2004).In a subsequent study, Kirst et al. (2005b)showed that one identified expression QTLexpla<strong>in</strong>ed up to 70 percent of the transcriptlevel variation for over 800 genesand that hotspots with co-localized expressionQTL were identified on s<strong>in</strong>gle treeAFLP typically conta<strong>in</strong><strong>in</strong>g genes associatedwith specific metabolic and regulatorypathways, suggest<strong>in</strong>g coord<strong>in</strong>ated geneticregulation. The correlation of gene expressionprofiles <strong>in</strong> segregat<strong>in</strong>g progeny can alsoextend knowledge about genes <strong>in</strong>volved <strong>in</strong>these pathways. Complementary DNAsrepresent<strong>in</strong>g previously uncharacterized orhypothetical genes, whose transcript levelsare strongly correlated with those of geneswith known functions, may be associatedwith the same pathway or biological process.

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