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marker-assisted selection in wheat - ictsd

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Marker-<strong>assisted</strong> <strong>selection</strong> – Current status and future perspectives <strong>in</strong> crops, livestock, forestry and fishhighlights issues that might be importantto applications of MAS <strong>in</strong> develop<strong>in</strong>gcountries. Although molecular <strong>marker</strong>s maybe used for a wide range of different tasks,such as to quantify the genetic diversityand relationships with<strong>in</strong> and betweenagricultural populations (e.g. livestockbreeds), to <strong>in</strong>vestigate biological processes(such as mat<strong>in</strong>g systems, pollen movementor seed dispersal <strong>in</strong> plants) or to identifyspecific genotypes (e.g. cloned forest trees),these applications are not considered here.Background to MASMolecular <strong>marker</strong>sAll liv<strong>in</strong>g organisms are made up of cellsthat are programmed by genetic materialcalled DNA. This molecule is made up ofa long cha<strong>in</strong> of nitrogen-conta<strong>in</strong><strong>in</strong>g bases(there are four different bases – aden<strong>in</strong>e [A],cytos<strong>in</strong>e [C], guan<strong>in</strong>e [G] and thym<strong>in</strong>e [T]).Only a small fraction of the DNA sequencetypically makes up genes, i.e. that code forprote<strong>in</strong>s, while the rema<strong>in</strong><strong>in</strong>g and majorshare of the DNA represents non-cod<strong>in</strong>gsequences, the role of which is not yetclearly understood. The genetic material isorganized <strong>in</strong>to sets of chromosomes (e.g.five pairs <strong>in</strong> Arabidopsis thaliana; 30 pairs <strong>in</strong>Bos taurus [cow]), and the entire set is calledthe genome. In a diploid <strong>in</strong>dividual (i.e.where chromosomes are organized <strong>in</strong> pairs),there are two alleles of every gene – onefrom each parent.Molecular <strong>marker</strong>s should not be consideredas normal genes as they usually donot have any biological effect. Instead, theycan be thought of as constant landmarks<strong>in</strong> the genome. They are identifiable DNAsequences, found at specific locations of thegenome, and transmitted by the standardlaws of <strong>in</strong>heritance from one generationto the next. They rely on a DNA assay,<strong>in</strong> contrast to morphological <strong>marker</strong>s thatare based on visible traits, and biochemical<strong>marker</strong>s that are based on prote<strong>in</strong>s producedby genes.Different k<strong>in</strong>ds of molecular <strong>marker</strong>sexist, such as restriction fragment lengthpolymorphisms (RFLPs), random amplifiedpolymorphic DNA (RAPDs) <strong>marker</strong>s,amplified fragment length polymorphisms(AFLPs), microsatellites and s<strong>in</strong>gle nucleotidepolymorphisms (SNPs). They maydiffer <strong>in</strong> a variety of ways – such as theirtechnical requirements (e.g. whether theycan be automated or require use of radioactivity);the amount of time, moneyand labour needed; the number of genetic<strong>marker</strong>s that can be detected throughoutthe genome; and the amount of geneticvariation found at each <strong>marker</strong> <strong>in</strong> a givenpopulation. The <strong>in</strong>formation provided tothe breeder by the <strong>marker</strong>s varies depend<strong>in</strong>gon the type of <strong>marker</strong> system used. Each hasits advantages and disadvantages and, <strong>in</strong> thefuture, other systems are likely to be developed.More details on the <strong>in</strong>dividual <strong>marker</strong>systems are provided <strong>in</strong> Chapter 3.From <strong>marker</strong>s to MASThe molecular <strong>marker</strong> systems describedabove allow high-density DNA <strong>marker</strong>maps (i.e. with many <strong>marker</strong>s of known location,<strong>in</strong>terspersed at relatively short <strong>in</strong>tervalsthroughout the genome) to be constructedfor a range of economically importantagricultural species, thus provid<strong>in</strong>g theframework needed for eventual applicationsof MAS.Us<strong>in</strong>g the <strong>marker</strong> map, putative genesaffect<strong>in</strong>g traits of <strong>in</strong>terest can then be detectedby test<strong>in</strong>g for statistical associationsbetween <strong>marker</strong> variants and any trait of<strong>in</strong>terest. These traits might be geneticallysimple – for example, many traits for diseaseresistance <strong>in</strong> plants are controlled by one ora few genes (Young, 1999). Alternatively,

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