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marker-assisted selection in wheat - ictsd

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36Marker-<strong>assisted</strong> <strong>selection</strong> – Current status and future perspectives <strong>in</strong> crops, livestock, forestry and fishpolymorphism (Chen, Cho and McCouch,2002). Thus, the use of stepwise SSRmutation models would be <strong>in</strong>appropriate forhighly diverged populations. Homoplasy isalso a problem <strong>in</strong> SSR <strong>marker</strong>s because thehyper-variability leads to some shared allelesizes through parallelism, convergence andreversion (Doyle et al., 1998). Homoplasyfrom reversions can affect transposonbased<strong>marker</strong>s or any <strong>marker</strong>s withpolymorphisms potentially derived fromClass II DNA transposable elements. Thisclass of TEs has a cut and paste mechanismof transposition, so a TE may <strong>in</strong>sert onto alocus and later excise.In RAPDs, ISSRs and AFLPs, homoplasycan occur when two or more lociproduce PCR fragments of similar molecularweight. Although it is desirable to havehigh numbers of bands to maximize theamount of <strong>in</strong>formation per lane, this mustbe balanced aga<strong>in</strong>st the <strong>in</strong>creas<strong>in</strong>g risk ofhomoplasy as more loci are represented.Special considerations for<strong>marker</strong>-<strong>assisted</strong> <strong>selection</strong>Quality <strong>marker</strong>s for use <strong>in</strong> MAS shouldbe reliable and easily shared amongresearchers. Co-dom<strong>in</strong>ant <strong>marker</strong>s are preferredto avoid the need for progeny test<strong>in</strong>g.Sometimes less desirable <strong>marker</strong>s for MASsuch as RAPDs, ISSRs and AFLPs areuseful for f<strong>in</strong>d<strong>in</strong>g <strong>marker</strong>s l<strong>in</strong>ked to thedesired allele. Once such a <strong>marker</strong> is found,it is possible to extract and sequence thecorrespond<strong>in</strong>g band. This sequence canbe used to develop co-dom<strong>in</strong>ant <strong>marker</strong>ssuch as cleaved amplified polymorphicsequences (CAPS) (Konieczny andAusubel, 1993) or to sequence characterizedpolymorphic regions (SCARs) (Paranand Michelmore, 1993). SCAR and CAPS<strong>marker</strong>s are co-dom<strong>in</strong>ant and simplify thescreen<strong>in</strong>g of large numbers of <strong>in</strong>dividuals.When a genetic map exists, <strong>marker</strong>s canbe positioned on the map and other l<strong>in</strong>ked<strong>marker</strong>s can be substituted. The additional<strong>marker</strong>s are useful for higher resolutionmapp<strong>in</strong>g to f<strong>in</strong>d <strong>marker</strong>s more closelyl<strong>in</strong>ked to the desired allele or ultimately forpositional clon<strong>in</strong>g of the underly<strong>in</strong>g gene.Reproducibility of molecular <strong>marker</strong>dataFor orphan species, clearly there is a hugevalue to the anonymous primer approaches(AFLP, DArTs, ISSRs and RAPDs) thatdo not require sequence <strong>in</strong>formation ormuch up-front <strong>in</strong>vestment. However,the data can be difficult to score, andreproducibility requires a lot of technicalskill. Technologies that depend on thepresence or absence of PCR amplifiedbands are susceptible to changes <strong>in</strong> PCRconditions and the quality of sample DNA,and the data from separate experimentsmay differ. Further, <strong>in</strong> any method thatdepends on accurate measurement ofmolecular weight differences between bands(e.g. SSRs), the exact mole-cular weightsassigned to each allele may be different<strong>in</strong> each analysis because of differences<strong>in</strong> labell<strong>in</strong>g of PCR products, round<strong>in</strong>gof allele molecular weight estimates andb<strong>in</strong>n<strong>in</strong>g of alleles. Without controls foreach allele encountered, it is difficult orimpossible to merge separate sets of data.Despite discrepancies <strong>in</strong> the exact dataderived from molecular <strong>marker</strong>s, the resultsand conclusions should be consistent with<strong>in</strong><strong>in</strong>dependent experiments. For reliability<strong>in</strong> mak<strong>in</strong>g <strong>in</strong>ferences across <strong>in</strong>dependentdata-sets, SNP <strong>marker</strong>s are preferred. SNPdata-sets can be easily <strong>in</strong>tegrated basedon sequence, and SNPs have properties(such as a low mutation rate) that areparticularly valuable for evolutionary<strong>in</strong>ference (Nielsen, 2000).

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