4.7 Article

SSR-Based Analysis of Genetic Diversity and Structure of Sweet Cherry (Prunus avium L.) from 19 Countries in Europe

期刊

PLANTS-BASEL
卷 10, 期 10, 页码 -

出版社

MDPI
DOI: 10.3390/plants10101983

关键词

Prunus avium; SSR; genetic diversity; population structure; genetic resources; breeding

资金

  1. European Cooperative Program for Plant Genetic Resources Networks (ECP GR): EU.CHERRY project (ECPGR Activity Grant Scheme)
  2. COST Action Cherry
  3. European Union
  4. Greek national funds through the Operational Program Competitiveness, Entrepreneurship, and Innovation, under the call RESEARCH-CREATE-INNOVATE [T1EDK-05438]

向作者/读者索取更多资源

The study revealed a large genetic diversity in the sweet cherry collection, justifying the conservation efforts made over the years. New sources of diversity will help producers to face challenges such as climate change and the need for more sustainable production systems.
Sweet cherry (Prunus avium L.) is a temperate fruit species whose production might be highly impacted by climate change in the near future. Diversity of plant material could be an option to mitigate these climate risks by enabling producers to have new cultivars well adapted to new environmental conditions. In this study, subsets of sweet cherry collections of 19 European countries were genotyped using 14 SSR. The objectives of this study were (i) to assess genetic diversity parameters, (ii) to estimate the levels of population structure, and (iii) to identify germplasm redundancies. A total of 314 accessions, including landraces, early selections, and modern cultivars, were monitored, and 220 unique SSR genotypes were identified. All 14 loci were confirmed to be polymorphic, and a total of 137 alleles were detected with a mean of 9.8 alleles per locus. The average number of alleles (N = 9.8), PIC value (0.658), observed heterozygosity (H-o = 0.71), and expected heterozygosity (H-e = 0.70) were higher in this study compared to values reported so far. Four ancestral populations were detected using STRUCTURE software and confirmed by Principal Coordinate Analysis (PCoA), and two of them (K1 and K4) could be attributed to the geographical origin of the accessions. A N-J tree grouped the 220 sweet cherry accessions within three main clusters and six subgroups. Accessions belonging to the four STRUCTURE populations roughly clustered together. Clustering confirmed known genealogical data for several accessions. The large genetic diversity of the collection was demonstrated, in particular within the landrace pool, justifying the efforts made over decades for their conservation. New sources of diversity will allow producers to face challenges, such as climate change and the need to develop more sustainable production systems.

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