Proceedings of the XLVI Italian
Society of Agricultural Genetics - SIGA Annual Congress
Giardini
Naxos, Italy - 18/21 September, 2002
ISBN 88-900622-3-1
Poster
Abstract - 4.07
MOLECULAR
CHARACTERISATION (SSR) OF DURUM WHEAT (TRITICUM DURUM DESF.) GERMPLASM FROM SICILY
LACERENZA N.G.*, PILERI L.*, GALLO G.**, BENEDETTELLI S.*
*) Department of
Agronomy and Land Management, University of Florence
**) Stazione
Sperimentale di Granicoltura per la Sicilia, Caltagirone (CT)
Triticum
durum, SSR, population genetics
Sample
material utilised in this study derives from some durum wheat landraces (Farro Lungo, Russello, Bufala Corta, Urria, Real Forte,
Sicilia R.N) cultivated in marginal areas of Sicily, characterised by high salt
soil concentration, and from some old and new cultivars (Bivona, Capeiti,
Platani, Karel, Simeto, Ciccio, Lina, Romano).
For each landrace and for each old variety, ten genotypes were sampled
to extract the DNA, whereas for each new cultivar for the DNA extraction a bulk
of three or four plants were utilised. The DNA extraction was carried out
utilising The Nucleospin kit (Macherey-Nagel).
Molecular characterisation was performed with about twenty primers
combination flanking microsatellite regions (SSR); these primers were
synthesised according to the sequences published by Röder et al . (1998). The PCR reaction was carried out following the time schedule
and the temperature conditions reported by Röder et al . (1998). In particular annealing temperatures of 50°,
55° and 60° C for each specified primer combination were used.
The amplified products were
fractionated in 3% agarose gels with TBE buffer and then visualised by a
fluorescent lamp in presence of ethidium bromide. The electrophoretic patterns
were photographed by a Polaroid films and then utilised to construct the
presence/absence matrix (1/0) for the alleles observed for each locus. The
utilised SSR primer set had shown a high degree of genetic variability either
within or between accessions (from two to six alleles per locus).
The
genetic diversity index (expected average heterozygosity, H), the number of
polymorphic loci (P) and the effective number of alleles (ne ) will
be calculated to quantify the genetic diversity within population. Beside to
verify the similarity degree between the analysed genotypes, belonging to
different landraces and cultivars it will be computed the Jaccard index. From
the similarity matrix will be carried out the cluster analysis and a dendrogram
will be obtained by the UPGMA algorithm. The NTSYS software release 1.7 (1992)
will be utilised to carried out the statistical analysis. The location in the
dendrogram occupied by the landraces genotypes referred to the cultivar
genotypes it will allow to form the hypothesis that the eventual convergent
selection improve the tolerance to abiotic stresses.