Hostname: page-component-78c5997874-mlc7c Total loading time: 0 Render date: 2024-11-18T01:17:29.913Z Has data issue: false hasContentIssue false

Development and use of retrotransposons-based markers (IRAP/REMAP) to assess genetic divergence among table grape cultivars

Published online by Cambridge University Press:  18 February 2019

Danuza Kelly Strioto
Affiliation:
Genetics and Breeding, State University of Maringá, Maringá, PR, Brazil
Betty Cristiane Kuhn
Affiliation:
Genetics and Breeding, State University of Maringá, Maringá, PR, Brazil
William Seiji Lemes Nagata
Affiliation:
Biotechnology, State University of Maringá, Maringá, PR, Brazil
Giovana Marinelli
Affiliation:
Biotechnology, State University of Maringá, Maringá, PR, Brazil
Sandra Aparecida Oliveira-Collet
Affiliation:
Departament of Biotechnology, Genetics and Cell Biology, State University of Maringá, Maringá, PR, Brazil
Claudete A. Mangolin
Affiliation:
Departament of Biotechnology, Genetics and Cell Biology, State University of Maringá, Maringá, PR, Brazil
Maria de Fátima P. S. Machado*
Affiliation:
Departament of Biotechnology, Genetics and Cell Biology, State University of Maringá, Maringá, PR, Brazil
*
*Corresponding author. E-mail: mfpsmachado@uem.br

Abstract

For more than four decades after the introduction of cv. Italia (Vitis vinifera L.) in Brazil, several somatic mutations in the genome of cv. Italia and its somatic mutants gave rise to phenotypes which generated at least five new cultivars of fine table grapes. Since no molecular marker proved to be effective in discriminating cv. Italia (V. vinifera L.) and its coloured mutants (Rubi, Benitaka, Brasil, Black Star), primers for the long terminal repeat (LTR) sequences were developed to analyse Inter Retrotransposon Amplified Polymorphism (IRAP) and Retrotransposon-Microsatellite Amplified Polymorphism (REMAP), and investigate how the coloured cultivars derived from clonal propagations of somatic mutations are genetically structured. Primers for LTR sequences of IRAP and REMAP markers were edited from grape sequence databases available at a GenBank. Twenty-four primers, denominated DKS001–DKS024, were edited. Three hundred and forty-nine DNA segments were amplified by individual DKS primers and DKS/ISSR (Inter Simple Sequence Repeats) primer combinations, at an average of 13.96 amplicons per primer pair. High genetic divergence between the five cultivars was inferred from polymorphism in retrotransposons IRAP and REMAP. The analysis of polymorphism of IRAP and REMAP retrotransposons was crucial to show that clonal propagation of somatic mutations may lead towards the formation of genetically divergent cultivars by the formation of genetically structured vineyards and show the mixture of genomes within each cultivar.

Type
Research Article
Copyright
Copyright © NIAB 2019 

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

Camargo, UA (1998) Cultivares para a viticultura tropical no Brasil. Informe Agropecuário – EPAMIG 19: 1519.Google Scholar
Castro, JA, Neves, CG, Jesus, ON and Oliveira, EJ (2012a) Definition of morpho-agronomic descriptors for the characterization of yellow passion fruit. Scientia Horticulturae 145: 1722.Google Scholar
Castro, I, D'Onofrio, C, Martín, JP, Ortiz, JM, Lorenzis, G, Ferreira, V and Pinto-Carnide, O (2012b) Effectiveness of AFLPs and retrotransposon-based markers for the identification of Portuguese grapevine cultivars and clones. Molecular Biotechnology 52: 2639.Google Scholar
D‘Onofrio, C, Lorenzis, G, Giordani, T, Natali, L, Cavallini, A and Scalabrelli, G (2010) Retrotransposon-based molecular markers for grapevine species and cultivars identification. Tree Genetics and Genomes 6: 451466.Google Scholar
Du, X, Zhang, Q and Luo, Z (2009) Development of retrotransposon primers and their utilization for germplasm identification in Diospyros spp. (Ebenaceae). Tree Genetics & Genomes 5: 235245.Google Scholar
Gonçalves, JA (1995) Paraná descobre nova variedade de uva. André Lahóz (ed.) Folha de São Paulo, São Paulo, 12 dez. Agrofolha, 1.Google Scholar
Kishino, AY and Mashima, M (1980) In: Fundação Instituto Agronômico do Paraná. Manual Agropecuário para o Paraná, 139177. Londrina, PR, Brazil.Google Scholar
Maia, SHZ, Mangolin, CA, Oliveira-Collet, SA and Machado, MFPS (2009) Genetic diversity in somatic mutants of grape (Vitis vinifera L.) cultivar Italia based on random amplified polymorphic DNA. Genetics and Molecular Research 8: 2838.Google Scholar
Nei, M (1973) Analysis of gene diversity in subdivided populations. Proceedings of the National Academy of Sciences USA 70: 33213323.Google Scholar
Ocanã, J, Walter, B and Schellenbaum, P (2013) Stable MSAP markers for the distinction of Vitis vinifera cv Pinot Noir clones. Molecular Biotechnology 55: 236248.Google Scholar
Oliveira-Collet, SA, Collet, MA and Machado, MFPS (2005) Differential gene expression for isozymes in somatic mutants of Vitis vinifera L. (Vitaceae). Biochemical Systematics and Ecology 33: 691703.Google Scholar
Orasmo, GR, Oliveira-Collet, SA, Lapenta, AS and Machado, MFPS (2007) Biochemical and genetic polymorphism for carboxylesterase and acetylesterase in grape clones of Vitis vinifera L. (Vitaceae) cultivars. Biochemical Genetics 45: 663670.Google Scholar
Page, RDM (2001) TreeView (Win 32). Version 1.6.6. Available at http://taxonomy.zoology.gla.ac.uk/rod/rod.html.Google Scholar
Pavlícek, A, Hrdá, S and Flegr, J (1999) Free-Tree – freeware program for construction of phylogenetic trees on the basis of distance data and bootstrap/jackknife analysis of the tree robustness. Application in the RAPD analysis of genus Frenkelia. Folia Biologica 45: 9799.Google Scholar
Peakall, R and Smouse, PE (2006) GENALEX 6: genetic analysis in Excel. Population genetic software for teaching and research. Molecular Ecology Notes 6: 288295.Google Scholar
Pires, EJP, Sawazaki, HE, Terra, MM, Botelho, RV, Conagim, A and Nogueira, NAM (2003) Redimeire: a natural mutation of cv. Italia in Brazil. Vitis 42: 5556.Google Scholar
Roberto, SR, Assis, AM, Genta, W, Yamamoto, LY and Sato, AJ (2012) ‘Black star’: uma mutação somática natural da uva fina de mesa cv. Brasil. Revista Brasileira de Fruticultura 34: 947950.Google Scholar
Sneath, PH and Sokal, RR (1973) Numerical Taxonomy: The Principle and Practice of Numerical Classification. San Francisco, USA: W H Freeman.Google Scholar
Sousa, JSI (1996) Uvas Para O Brasil, 2a. edn. Rev. FEALQ, Piracicaba, São Paulo, Brazil. 791p.Google Scholar
Stajner, D, Popovic, BM, Boza, P and Kapor, A (2009) Antioxidant capacity of Melampyrum barbatum – weed and medicinal plant. Phytotherapy Research 23: 10061010.Google Scholar
Strioto, DK, Pepineli, AC, Eisele, TG, Marinelli, GC, Mangolin, CA, Cantagali, LB, Oliveira-Collet, SA and Machado, MFPS (2019) Clonal propagation of cv. Italy grapes and the generation of genetic divergence among vineyards. Scientia Horticulturae 244: 263269.Google Scholar
Thomas, MR, Cain, P and Scott, NS (1994) DNA typing of grapevines: a universal methodology and database for describing cultivars and evaluating genetic relatedness. Plant Molecular Biology 25: 939949.Google Scholar
Thompson, JD, Higgins, DG, Gibson, TJ and Clustal, W (1994) An improving the sensitivity of progressive multiple sequence alignment through sequence weighting, position specific gap penalties and weight matrix choice. Nucleic Acids Research 22: 46734680.Google Scholar
Villano, C, Carputo, D, Frusciante, L, Santoro, X and Aversano, R (2014) Use of SSR and retrotransposon-based markers to interpret the population structure of native grapevines from Southern Italia. Molecular Biotechnology 56: 10111020.Google Scholar
Wright, S (1978) Variability Within and Among Populations. Chicago: University of Chicago Press, 580p.Google Scholar
Yeh, FC, Yang, R and Boyle, T (1999) Popgene Version 1.31: Microsoft Window based freeware for population genetic analysis: Quick user guide. University of Alberta, Center for International Forestry.Google Scholar