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Extended diversity analysis of cultivated grapevine Vitis vinifera with 10K genome-wide SNPs. | LitMetric

AI Article Synopsis

  • Grapevine is a key crop for fruits and wine, and understanding its genetic traits requires examining genetic diversity and structure across its genome.
  • An 18k SNP genotyping array was tested on 783 Vitis vinifera cultivars, revealing high genetic diversity and confirming close familial relationships among them.
  • The study identified eight genetic clusters with varying diversity and linkage disequilibrium, and conducted a genome-wide association study that pinpointed new genetic regions linked to traits like acidity.

Article Abstract

Grapevine is a very important crop species that is mainly cultivated worldwide for fruits, wine and juice. Identification of the genetic bases of performance traits through association mapping studies requires a precise knowledge of the available diversity and how this diversity is structured and varies across the whole genome. An 18k SNP genotyping array was evaluated on a panel of Vitis vinifera cultivars and we obtained a data set with no missing values for a total of 10207 SNPs and 783 different genotypes. The average inter-SNP spacing was ~47 kbp, the mean minor allele frequency (MAF) was 0.23 and the genetic diversity in the sample was high (He = 0.32). Fourteen SNPs, chosen from those with the highest MAF values, were sufficient to identify each genotype in the sample. Parentage analysis revealed 118 full parentages and 490 parent-offspring duos, thus confirming the close pedigree relationships within the cultivated grapevine. Structure analyses also confirmed the main divisions due to an eastern-western gradient and human usage (table vs. wine). Using a multivariate approach, we refined the structure and identified a total of eight clusters. Both the genetic diversity (He, 0.26-0.32) and linkage disequilibrium (LD, 28.8-58.2 kbp) varied between clusters. Despite the short span LD, we also identified some non-recombining haplotype blocks that may complicate association mapping. Finally, we performed a genome-wide association study that confirmed previous works and also identified new regions for important performance traits such as acidity. Taken together, all the results contribute to a better knowledge of the genetics of the cultivated grapevine.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5805323PMC
http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0192540PLOS

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