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marker-assisted selection in wheat

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42Marker-<strong>assisted</strong> <strong>selection</strong> – Current status and future perspectives <strong>in</strong> crops, livestock, forestry and fishcritical <strong>in</strong>formation about how specificcomb<strong>in</strong>ations of genes and alleles <strong>in</strong>teract<strong>in</strong> relevant varietal backgrounds and allowsbreeders to compare the phenotypic effectof genes or chromosomal segments that havebeen <strong>in</strong>herited from a common ancestor andselected <strong>in</strong> multiple-cross comb<strong>in</strong>ations.In addition to the use of MAS <strong>in</strong> traditionalcross<strong>in</strong>g and <strong>selection</strong> programmes,breeders also have opportunities to adjustparticular traits or phenotypes via the<strong>in</strong>troduction of genes us<strong>in</strong>g a transgenicapproach (Ye et al., 2000; James, 2003;Nuffield Council on Bioethics, 2004). Once<strong>in</strong>troduced <strong>in</strong>to the gene pool, a transgenecan be tracked with the aid of molecular<strong>marker</strong>s (designed to tag the transgenesequence itself) through subsequent crosses,just as would be done for any other gene of<strong>in</strong>terest <strong>in</strong> a breed<strong>in</strong>g programme.Another use of molecular <strong>marker</strong>s <strong>in</strong>variety improvement <strong>in</strong>volves <strong>marker</strong><strong>assisted</strong>germplasm evaluation (Xu, Ishiiand McCouch, 2003). Population structureanalysis offers <strong>in</strong>sight about how diversityis partitioned with<strong>in</strong> a species and canhelp def<strong>in</strong>e clusters, or subpopulations, ofgermplasm that are likely to conta<strong>in</strong> highfrequencies of particular alleles (Garris,McCouch and Kresovich, 2003). This typeof analysis can also guide allele m<strong>in</strong><strong>in</strong>gefforts aimed at identify<strong>in</strong>g valuableaccessions <strong>in</strong> a germplasm collection foruse as parents <strong>in</strong> a breed<strong>in</strong>g programme.Such approaches have the potential to makeparental <strong>selection</strong> more efficient, to expandthe gene pool of modern cultivars andultimately to speed up the development ofproductive new varieties. As <strong>in</strong>formation isgenerated about which genes and alleles areassociated with phenotypic characters ofagronomic importance, and as the complex<strong>in</strong>teractions among genes are enumerated <strong>in</strong>the context of specific gene pools and theenvironments to which they are adapted,breeders are <strong>in</strong>creas<strong>in</strong>gly empowered tomake predictions about how to comb<strong>in</strong>ediverse alleles productively.To exploit molecular breed<strong>in</strong>g strategiesfully, <strong>in</strong>formation resources must be developedso that the overwhelm<strong>in</strong>g amount of<strong>in</strong>formation about genes, alleles and naturalgenetic variation can be funnelled <strong>in</strong>to a usefultool for breed<strong>in</strong>g applications. This will<strong>in</strong>volve a very different approach to <strong>in</strong>formationresources than currently employedby the large genome databases, which areoriented towards genomics researchersand molecular biologists rather than thebreed<strong>in</strong>g community. Nonetheless, a fewexamples offer beacons of <strong>in</strong>spiration <strong>in</strong> thisarea, <strong>in</strong>clud<strong>in</strong>g the emerg<strong>in</strong>g InternationalRice Information System (IRIS) database(Bruskiewich et al., 2003; www.icis.cgiar.org/), the GeneFlow database (www.geneflow.com), the <strong>marker</strong>-<strong>assisted</strong> <strong>selection</strong><strong>wheat</strong> (MAS<strong>wheat</strong>) database (http://mas<strong>wheat</strong>.ucdavis.edu/)and software such asReal Time QTL (http://zamir.sgn.cornell.edu/Qtl/Html/home.htm).In conclusion, genomics research is generat<strong>in</strong>g<strong>in</strong>formation about the location andphenotypic consequences of specific genesand alleles <strong>in</strong> a wide range of species. This<strong>in</strong>formation can be translated <strong>in</strong>to tools forbreeders. Molecular <strong>marker</strong> technology canbenefit breed<strong>in</strong>g objectives by <strong>in</strong>creas<strong>in</strong>g theefficiency and reliability of <strong>selection</strong> and byprovid<strong>in</strong>g essential <strong>in</strong>sights <strong>in</strong>to how genesbehave <strong>in</strong> different environments and <strong>in</strong>different genetic backgrounds. Once genesand QTL are identified, <strong>marker</strong>s allow<strong>in</strong>terest<strong>in</strong>g alleles to be traced throughthe pedigrees of breed<strong>in</strong>g programmes orm<strong>in</strong>ed out of germplasm collections to serveas the basis for future varietal improvement.Us<strong>in</strong>g <strong>marker</strong>s <strong>in</strong> comb<strong>in</strong>ation withboth QTL and association approaches, the

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