Hostname: page-component-cd9895bd7-8ctnn Total loading time: 0 Render date: 2024-12-19T00:42:27.684Z Has data issue: false hasContentIssue false
  • English
  • Français

Microsatellite markers for common lilac (Syringa vulgaris L.)

Published online by Cambridge University Press:  11 June 2013

Inka Juntheikki-Palovaara ,
Kristiina Antonius ,
Leena Lindén  and
Helena Korpelainen
Inka Juntheikki-Palovaara
Affiliation:
Department of Agricultural Sciences, PO Box 27, FI-00014 University of Helsinki, Finland
Kristiina Antonius
Affiliation:
MTT Agrifood Research Finland, FI-31600Jokioinen, Finland
Leena Lindén*
Affiliation:
Department of Agricultural Sciences, PO Box 27, FI-00014 University of Helsinki, Finland
Helena Korpelainen
Affiliation:
Department of Agricultural Sciences, PO Box 27, FI-00014 University of Helsinki, Finland
*
* Corresponding author. E-mail: [email protected]
Get access Rights & Permissions [Opens in a new window]

Abstract

Common lilac is a popular landscape plant with nearly 2000 cultivars. In the present study, nine novel polymorphic microsatellite markers were developed for common lilac using genome screening with inter-simple sequence repeat primers. Each of the nine markers revealed two to five alleles. The markers were used for genotyping of 75 common lilac shrubs, including 17 accessions that represented named cultivars. A dendrogram, based on the allele profiles of the shrubs, was generally in agreement with the grouping made on the basis of morphological traits, as well as with the pedigree information available. The novel markers appear valuable for differentiation between common lilac cultivars.

Keywords

cultivar identificationfingerprintingOleaceaeSSR markers
Type
Short Communication
Information
Plant Genetic Resources , Volume 11 , Issue 3 , December 2013 , pp. 279 - 282
Copyright
Copyright © NIAB 2013 

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

Doyle, JJ and Doyle, JL (1990) Isolation of plant DNA from fresh tissue. Focus 12: 13–15.Google Scholar
De La Rosa, R, James, CM and Tobutt, KR (2002) Isolation and characterization of polymorphic microsatellites in olive (Olea europaea L.) and their transferability to other genera in the Oleaceae. Molecular Ecology Notes 2: 265–267.CrossRefGoogle Scholar
Fiala, JL and Vrugtman, F (2008) Lilacs. A Gardener's Encyclopedia. 2nd revised edn.Portland: Timber Press.Google Scholar
Harbourne, ME, Douglas, GC, Waldren, S and Hodkinson, TR (2005) Characterization and primer development for amplification of chloroplast microsatellite regions of Fraxinus excelsior. Journal of Plant Research 118: 339–341.CrossRefGoogle ScholarPubMed
Kodama, K, Yamada, T and Maki, M (2008) Development and characterization of 10 microsatellite markers for the semi-evergreen tree species, Ligustrum ovalifolium (Oleaceae). Molecular Ecology Resources 8: 1008–1010.Google Scholar
Korpelainen, H, Kostamo, K and Virtanen, V (2007) Microsatellite marker identification using genome screening and restriction–ligation. BioTechniques 42: 479–486.Google Scholar
Lindén, L, Hauta-aho, L, Temmes, O and Tegel, S (2010) An inventory of old lilac and crab apple cultivars in the city of Helsinki, Finland. Acta Horticulturae no. 881 2: 1027–1030.Google Scholar
McKelvey, SD (1928) The Lilac – A Monograph. New York: Macmillan.Google Scholar
Peakall, R and Smouse, P (2006) GENALEX 6: genetic analysis in Excel. Population genetic software for teaching and research. Molecular Ecology Notes 6: 288–295.Google Scholar
Rzepka-Plevneš, D, Smolik, M and Tańska, K (2006) Genetic similarity of chosen Syringa species determined by the ISSR-PCR technique. Dendrobiology 56: 61–67.Google Scholar
Smolik, M, Andrys, D, Franas, A, Krupa-Malkiewicz, M and Malinowska, K (2010) Polymorphism in Syringa rDNA regions assessed by PCR technique. Dendrobiology 64: 55–64.Google Scholar
Tamura, K, Dudley, J, Nei, M and Kumar, S (2007) MEGA4: Molecular Evolutionary Genetics Analysis (MEGA) software version 4.0. Molecular Biology and Evolution 24: 1596–1599.CrossRefGoogle ScholarPubMed
Supplementary material: File

Juntheikki-Palovaara Supplementary Material

Table S1-S2

Download Juntheikki-Palovaara Supplementary Material(File)
File 38.1 KB