24.02.2013 Views

8th INTERNATIONAL WHEAT CONFERENCE

8th INTERNATIONAL WHEAT CONFERENCE

8th INTERNATIONAL WHEAT CONFERENCE

SHOW MORE
SHOW LESS

Create successful ePaper yourself

Turn your PDF publications into a flip-book with our unique Google optimized e-Paper software.

dIffeReNTIATIoN of WheAT geRmPLASm BASed oN<br />

mICRoSATeLLITe LoCI ANALySIS<br />

1 P. Strelchenko, 1 O. Mitrofanova, 2 F. Balfourier<br />

1 Vavilov All-Russia Institute of Plant Industry (VIR), St. Petersburg, 190000 Russia<br />

2 INRA, UMR1095 Amelioration et Sante des Plantes, 234, avenue du Brezet, 63100<br />

Clermont-Ferrand, France<br />

E-mail Address of presenting author: p.strelchenko@vir.nw.ru<br />

Elaboration of molecular techniques allowing rapid and effective analysis of plant DNA<br />

polymorphism, along with availability of computer programs for classification of large<br />

samples with the help of multidimensional statistics, provide new possibilities for detailing<br />

of genetic relationships between accessions in the VIR ex situ collection of wheat. The<br />

main objective of this study was to investigate genetic differentiation of hexaploid wheat,<br />

based on comparative analysis of microsatellites or simple sequence repeats (SSRs).<br />

The experiments were performed using typical genotypes selected from 319 landraces<br />

and old breeding cultivars derived from different species of hexaploid wheat. We believed<br />

that this genotype sample representatively reflected the range of genetic changes in wheat<br />

examined during its distribution and adaptation to local climatic conditions. This suggestion<br />

was based on the fact that the sample was formed following agroecological classification<br />

of wheat, elaborated by N. Vavilov (1957, 1964). In addition, to reveal the association<br />

between modern cultivars and landraces and old breeding varieties, genotypes<br />

of 28 modern cultivars from Russia and CIS countries were examined. Finally, the 347<br />

genotypes tested represented the cultivars from 44 countries. DNA fragments of different<br />

size amplified from one microsatellite with known genomic localization (SSR locus) were<br />

scored as alleles of this locus. To construct binary matrix of initial data, they were coded<br />

as 1 or 0, which indicated the presence or absence of each allele at certain SSR locus. The<br />

initial data matrix was then used to generate the Nei & Li similarity coefficient matrix.<br />

This matrix was used for clustering of cultivars with the help of Ward method.<br />

Altogether, in 347 genotypes of hexaploid wheat 39 microsatellite loci described mainly<br />

by M. Réder et al. (1998) were tested. One locus was typed in each of chromosomes 6A,<br />

7A, and 4D. In each of remaining 18 chromosomes of the haploid set two loci were examined.<br />

The number of alleles identified at individual loci varied from four to 40, with<br />

the mean number of alleles per locus constituting 18.3. In total, in 39 loci, 712 alleles<br />

were identified. Allele frequency in the genotype sample studied varied from 0.3% to<br />

83.2%, with the mean frequency of 5.5%. Based on the cluster analysis data we conclude<br />

that hexaploid wheat is differentiated in terms of many SSR loci allele composition and<br />

frequency. The highest genetic differences were revealed between the largest groups of<br />

genotypes selected from landraces, formed on two different continents, Asia (cluster A)<br />

and Europe (cluster B). The common wheat accessions of these two large groups were<br />

different in spike roughness and thrashing difficulty. Specifically, accessions from the first<br />

473

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!