Hostname: page-component-7479d7b7d-rvbq7 Total loading time: 0 Render date: 2024-07-09T11:38:05.260Z Has data issue: false hasContentIssue false
  • English
  • Français

Broccoli ‘Fiolaro’ (Brassica oleracea) an endangered typical Italian cultivar. A genetic analysis by SSR markers

Published online by Cambridge University Press:  16 May 2008

M. Vischi ,
M. Fiori ,
E. De Paoli ,
S. Padovan ,
M. Guarda  and
A. Olivieri
M. Vischi*
Affiliation:
Department of Agriculture and Environmental Sciences, University of Udine, Via delle Scienze 208, 33100Udine, Italy
M. Fiori
Affiliation:
Department of Agriculture and Environmental Sciences, University of Udine, Via delle Scienze 208, 33100Udine, Italy
E. De Paoli
Affiliation:
Department of Agriculture and Environmental Sciences, University of Udine, Via delle Scienze 208, 33100Udine, Italy
S. Padovan
Affiliation:
Institute of Genetics and Agricultural Experimentation ‘N. Strampelli’, Via Marconi 1, 36045Lonigo, Vicenza, Italy
M. Guarda
Affiliation:
Institute of Genetics and Agricultural Experimentation ‘N. Strampelli’, Via Marconi 1, 36045Lonigo, Vicenza, Italy
A. Olivieri
Affiliation:
Department of Agriculture and Environmental Sciences, University of Udine, Via delle Scienze 208, 33100Udine, Italy
*
*Corresponding author. E-mail: [email protected]
Get access Rights & Permissions [Opens in a new window]

Abstract

‘Broccolo fiolaro’ (Brassica oleracea L. convar. Italica) is a typical vegetable produced in a restricted hill country area around Creazzo (Vicenza) in north-eastern Italy. The cultivation of this vegetable dates back several centuries ago, but a very few farms are still involved in the production. ‘Broccolo fiolaro’ is a variety of broccoli highly valued for its agronomic and organoleptic features.

Four ‘Broccolo fiolaro’ selections were characterized by simple sequence repeats (SSRs) molecular markers and compared with other five cultivated varieties of broccoli of the Italica group in order to reconstruct their genetic structure and evaluate the degree of similarity among and within populations. The analysis of 12 SSR polymorphic loci pointed out a low genetic variability among the four ‘Broccolo fiolaro’ selections. Moreover, the whole ‘Fiolaro’ group showed significant differentiation from the other broccoli cultivars and could be easily distinguished by cluster analysis. An assignment test on ~30 genotyped plants randomly chosen from each broccoli population correctly recognized the proper accession 88% of the time, proving this method to be useful for cultivar identification.

Keywords

alleleBroccolo fiolarosimple sequence repeats
Type
Research Article
Information
Plant Genetic Resources , Volume 6 , Issue 3 , December 2008 , pp. 215 - 221
Copyright
Copyright © NIAB 2008

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Botstein, D, White, RL, Skolnick, M and Davis, RW (1980) Construction of a genetic linkage map in man using restriction fragment length polymorphisms. American Journal of Human Genetics 32: 314–331.Google Scholar
Cooke, RJ (1999) Modern methods for the cultivar identification and the transgenic plant challenge. Seed Science and Technology 27: 669–680.Google Scholar
Donini, P, Cooke, RJ and Reeves, JC (2000) Molecular markers in variety and seed testing. In: Arenciba, AD (ed.) Plant Genetic Engineering: Towards the Third Millennium. Amsterdam: Elsevier Science, pp. 27–34.Google Scholar
Doyle, JJ and Doyle, JL (1987) A rapid DNA isolation procedure for small amounts of leaf tissue. Phytochemical Bulletin 19: 11–15.Google Scholar
Evans, LT (1993) Crops Evolution, Adaptation and Yield. Cambridge, MA: Cambridge University Press.Google Scholar
Felsenstein, J (1985) Confidence limits on phylogenies: an approach using the bootstrap. Evolution 39: 783–791.Google Scholar
Harlan, JR (1975) Crops & Man. Madison, WI: American Society of Agronomy.Google Scholar
Hartl, DL and Clark, AG (1997) Principles of Population Genetics. 3rd ed. Sunderland, MA: Sinauer Associates.Google Scholar
Heywood, VH (1978) Flowering Plants of the World. New York: Mayflower Books.Google Scholar
Keil, DJ and Walters, DR (1988) Vascular Plant Taxonomy. 3rd ed. Dubuque, IA: Kendall/Hunt.Google Scholar
Liu, K and Muse, SV (2004) PowerMarker: an integrated analysis environment for genetic marker analysis. Bioinformatics 21: 2128–2129.Google Scholar
Miller, MP (1997) Tools For Population Genetic Analyses (TFPGA), version 1.3. A windows program for the analysis of allozyme and molecular population genetic data. Computer software distributed by author.Google Scholar
Nei, M (1972) Genetic distance between populations. The American Naturalist 106: 283–291.Google Scholar
Nei, M (1978) Estimation of average heterozygosity and genetic distance from a small number of individuals. Genetics 89: 583–590.CrossRefGoogle ScholarPubMed
Paetkau, D, Slade, R, Burden, M and Estoup, A (2004) Direct, real-time estimation of migration rate using assignment methods: a simulation-based exploration of accuracy and power. Molecular Ecology 13: 55–65.CrossRefGoogle ScholarPubMed
Peakall, R and Smouse, PE (2006) GenAlEx6: genetic analysis in Excel. Population genetic software for teaching and research. Molecular Ecology Notes 6: 288–295.Google Scholar
Piry, S, Alapetite, A, Cornuet, JM, Paetkau, D, Baudouin, L and Estoup, A (2004) GENECLASS2: a software for genetic assignment and first-generation migrant detection. The Journal of Heredity 95: 536–539.CrossRefGoogle ScholarPubMed
Schlotterer, C and Tautz, D (1992) Slippage synthesis of simple sequence DNA. Nucleic Acids Research 20: 211–215.CrossRefGoogle ScholarPubMed
Sneath, PHA and Sokal, RR (1973) Numerical Taxonomy – The Principles and Practice of Numerical Classification. San Francisco, CA: W. H. Freeman.Google Scholar
Terrell, EE (1977) A checklist of names for 3,000 vascular plants of economic importance. United States Department of Agriculture Handbook 505: 21–22.Google Scholar
Tonguç, M and Griffiths, PD (2004) Genetic relationships of Brassica vegetables determined using database derived simple sequence repeats. Euphytica 137: 193–201.Google Scholar
Weir, BS and Cockerham, CC (1984) Estimating F-statistics for the analysis of population structure. Evolution 38: 1358–1370.Google ScholarPubMed