Genetic diversity and population structure assessed by SSR and SNP markers in a large germplasm collection of grape View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2013-03-07

AUTHORS

Francesco Emanuelli, Silvia Lorenzi, Lukasz Grzeskowiak, Valentina Catalano, Marco Stefanini, Michela Troggio, Sean Myles, José M Martinez-Zapater, Eva Zyprian, Flavia M Moreira, M Stella Grando

ABSTRACT

BackgroundThe economic importance of grapevine has driven significant efforts in genomics to accelerate the exploitation of Vitis resources for development of new cultivars. However, although a large number of clonally propagated accessions are maintained in grape germplasm collections worldwide, their use for crop improvement is limited by the scarcity of information on genetic diversity, population structure and proper phenotypic assessment. The identification of representative and manageable subset of accessions would facilitate access to the diversity available in large collections. A genome-wide germplasm characterization using molecular markers can offer reliable tools for adjusting the quality and representativeness of such core samples.ResultsWe investigated patterns of molecular diversity at 22 common microsatellite loci and 384 single nucleotide polymorphisms (SNPs) in 2273 accessions of domesticated grapevine V. vinifera ssp. sativa, its wild relative V. vinifera ssp. sylvestris, interspecific hybrid cultivars and rootstocks. Despite the large number of putative duplicates and extensive clonal relationships among the accessions, we observed high level of genetic variation. In the total germplasm collection the average genetic diversity, as quantified by the expected heterozygosity, was higher for SSR loci (0.81) than for SNPs (0.34). The analysis of the genetic structure in the grape germplasm collection revealed several levels of stratification. The primary division was between accessions of V. vinifera and non-vinifera, followed by the distinction between wild and domesticated grapevine. Intra-specific subgroups were detected within cultivated grapevine representing different eco-geographic groups. The comparison of a phenological core collection and genetic core collections showed that the latter retained more genetic diversity, while maintaining a similar phenotypic variability.ConclusionsThe comprehensive molecular characterization of our grape germplasm collection contributes to the knowledge about levels and distribution of genetic diversity in the existing resources of Vitis and provides insights into genetic subdivision within the European germplasm. Genotypic and phenotypic information compared in this study may efficiently guide further exploration of this diversity for facilitating its practical use. More... »

PAGES

39

References to SciGraph publications

  • 2004-09-30. Development of a standard set of microsatellite reference alleles for identification of grape cultivars in THEORETICAL AND APPLIED GENETICS
  • 2006-01-10. SSR analysis of the Medicago truncatula SARDI core collection reveals substantial diversity and unusual genotype dispersal throughout the Mediterranean basin in THEORETICAL AND APPLIED GENETICS
  • 2008-04-02. Construction of nested genetic core collections to optimize the exploitation of natural diversity in Vitis vinifera L. subsp. sativa in BMC PLANT BIOLOGY
  • 2002-07-15. Measuring genetic distances between breeds: use of some distances in various short term evolution models in GENETICS SELECTION EVOLUTION
  • 2008-05-15. Characterization of sequence polymorphisms from microsatellite flanking regions in Vitis spp in MOLECULAR BREEDING
  • 1998-07. Application of AFLPs to the characterization of grapevine Vitis vinifera L. genetic resources. A case study with accessions from Rioja (Spain) in THEORETICAL AND APPLIED GENETICS
  • 2011-10-13. STRUCTURE HARVESTER: a website and program for visualizing STRUCTURE output and implementing the Evanno method in CONSERVATION GENETICS RESOURCES
  • 1996-06. Neolithic resinated wine in NATURE
  • <error retrieving object. in <ERROR RETRIEVING OBJECT
  • 2009-07-29. Microsatellite variation in maize landraces from Northwestern Argentina: genetic diversity, population structure and racial affiliations in THEORETICAL AND APPLIED GENETICS
  • 2003-09-16. Evidence of a secondary grapevine domestication centre detected by SSR analysis in THEORETICAL AND APPLIED GENETICS
  • 2000-07. Conservation of microsatellite loci within the genus Vitis in THEORETICAL AND APPLIED GENETICS
  • 2010-11-09. A candidate gene association study on muscat flavor in grapevine (Vitis viniferaL.) in BMC PLANT BIOLOGY
  • 2009-11-18. Evolution of the VvMybA gene family, the major determinant of berry colour in cultivated grapevine (Vitis vinifera L.) in HEREDITY
  • 2010-01-09. An extensive study of the genetic diversity within seven French wine grape variety collections in THEORETICAL AND APPLIED GENETICS
  • 2010-02-16. Effects of ascertainment bias and marker number on estimations of barley diversity from high-throughput SNP genotype data in THEORETICAL AND APPLIED GENETICS
  • 2011-11-08. A 48 SNP set for grapevine cultivar identification in BMC PLANT BIOLOGY
  • 2000-02. Microsatellite variability in grapevine cultivars from different European regions and evaluation of assignment testing to assess the geographic origin of cultivars in THEORETICAL AND APPLIED GENETICS
  • 2010-01-10. Population structure and genetic diversity in a commercial maize breeding program assessed with SSR and SNP markers in THEORETICAL AND APPLIED GENETICS
  • 2010-08-06. The SSR-based molecular profile of 1005 grapevine (Vitis vinifera L.) accessions uncovers new synonymy and parentages, and reveals a large admixture amongst varieties of different geographic origin in THEORETICAL AND APPLIED GENETICS
  • 2009-08-13. Molecular markers for establishing distinctness in vegetatively propagated crops: a case study in grapevine in THEORETICAL AND APPLIED GENETICS
  • 2011-01-14. High throughput analysis of grape genetic diversity as a tool for germplasm collection management in THEORETICAL AND APPLIED GENETICS
  • 2009-10-11. Molecular characterization of global maize breeding germplasm based on genome-wide single nucleotide polymorphisms in THEORETICAL AND APPLIED GENETICS
  • 2010-09-24. Characterization of a global germplasm collection and its potential utilization for analysis of complex quantitative traits in maize in MOLECULAR BREEDING
  • 1994-09. DNA typing of grapevines: A universal methodology and database for describing cultivars and evaluating genetic relatedness in PLANT MOLECULAR BIOLOGY
  • 2007-11-19. High throughput SNP discovery and genotyping in grapevine (Vitis vinifera L.) by combining a re-sequencing approach and SNPlex technology in BMC GENOMICS
  • 2007-10-10. Untranslated leader region polymorphism of Tvv1, a retrotransposon family, is a novel marker useful for analyzing genetic diversity and relatedness in the genus Vitis in THEORETICAL AND APPLIED GENETICS
  • 2002-01. Evaluating the potential of SSR flanking regions for examining taxonomic relationships in the Vitaceae in THEORETICAL AND APPLIED GENETICS
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    http://scigraph.springernature.com/pub.10.1186/1471-2229-13-39

    DOI

    http://dx.doi.org/10.1186/1471-2229-13-39

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1052013437

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/23497049


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