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

Barreneche, Teresa and de la Concepcion, Maria Carcamo and Blouin-Delmas, Marine and Ordidge, Matthew and Nybom, Hilde and Lacis, Gunars and Feldmane, Daina and Sedlak, Jiri and Meland, Mekjell and Kaldmae, Hedi and Kahu, Kersti and Bekefi, Zsuzsanna and Stanivukovic, Sanda and Đurić, Gordana and Hoefer, Monika and Galik, Martin and Schueller, Elisabeth and Spornberger, Andreas and Sirbu, Sorina and Drogoudi, Pavlina and Agulheiro-Santos, Ana Cristina and Kodad, Ossama and Vokurka, Ales and Lateur, Marc and Fernandez, Felicidad Fernandez and Giovannini, Daniela and Quero-Garcia, Jose (2021). SSR-Based Analysis of Genetic Diversity and Structure of Sweet Cherry (Prunus avium L.) from 19 Countries in Europe. Plants. 10 , 1983
[Research article]

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Abstract

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.

Authors/Creators:Barreneche, Teresa and de la Concepcion, Maria Carcamo and Blouin-Delmas, Marine and Ordidge, Matthew and Nybom, Hilde and Lacis, Gunars and Feldmane, Daina and Sedlak, Jiri and Meland, Mekjell and Kaldmae, Hedi and Kahu, Kersti and Bekefi, Zsuzsanna and Stanivukovic, Sanda and Đurić, Gordana and Hoefer, Monika and Galik, Martin and Schueller, Elisabeth and Spornberger, Andreas and Sirbu, Sorina and Drogoudi, Pavlina and Agulheiro-Santos, Ana Cristina and Kodad, Ossama and Vokurka, Ales and Lateur, Marc and Fernandez, Felicidad Fernandez and Giovannini, Daniela and Quero-Garcia, Jose
Title:SSR-Based Analysis of Genetic Diversity and Structure of Sweet Cherry (Prunus avium L.) from 19 Countries in Europe
Series Name/Journal:Plants
Year of publishing :2021
Volume:10
Article number:1983
Number of Pages:17
Publisher:MDPI
Associated Programs and Other Stakeholders:Z - SLU - Library > Odla mera
Language:English
Publication Type:Research article
Article category:Scientific peer reviewed
Version:Published version
Copyright:Creative Commons: Attribution 4.0
Full Text Status:Public
Subjects:(A) Swedish standard research categories 2011 > 4 Agricultural Sciences > 401 Agricultural, Forestry and Fisheries > Agricultural Science
Keywords:Prunus avium, SSR, genetic diversity, population structure, genetic resources, breeding
URN:NBN:urn:nbn:se:slu:epsilon-p-114483
Permanent URL:
http://urn.kb.se/resolve?urn=urn:nbn:se:slu:epsilon-p-114483
Additional ID:
Type of IDID
DOI10.3390/plants10101983
Web of Science (WoS)000717195900001
ID Code:26246
Faculty:LTV - Fakulteten för landskapsarkitektur, trädgårds- och växtproduktionsvetenskap
Department:(LTJ, LTV) > Department of Plant Breeding (from 130101)
Deposited By: SLUpub Connector
Deposited On:30 Nov 2021 11:25
Metadata Last Modified:01 Dec 2021 05:04

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