Abstract
In-depth characterization of the genetic diversity and population structure of wild relatives is of paramount importance for genetic improvement and biodiversity conservation, and is particularly crucial when the wild relatives of crops are endangered. In this study, we sampled the Alpine plum (Briançon apricot) Prunus brigantina Vill. across its natural distribution in the French Alps, where its populations are severely fragmented and its population size strongly impacted by humans. We analysed 71 wild P. brigantina samples with 24 nuclear simple sequence repeat (microsatellite) markers and studied their genetic diversity and population structure, with the aim to inform in situ conservation measures and build a core collection for long-term ex situ conservation. We also examined the genetic relationships of P. brigantina with other species in the Prunophora subgenus, encompassing the Prunus (Eurasian plums), Prunocerasus (North American plums) and Armeniaca (apricots) sections, to check its current taxonomy. We detected a moderate genetic diversity in P. brigantina and a Bayesian model–based clustering approach revealed the existence of three genetically differentiated clusters, endemic to three geographical regions in the Alps, which will be important for in situ conservation measures. Based on genetic diversity and population structure analyses, a subset of 36 accessions were selected for ex situ conservation in a core collection that encompasses the whole detected P. brigantina allelic diversity. Using a dataset of cultivated apricots and wild cherry plums (P. cerasifera) genotyped with the same markers, we detected gene flow neither with European P. armeniaca cultivars nor with diploid plums. Similar to previous studies, dendrograms and networks placed P. brigantina closer to the Armeniaca section than to the Prunus section. Our results thus confirm the classification of P. brigantina within the Armeniaca section; it also illustrates the importance of the sampling size and design in phylogenetic studies.
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Data availability
The datasets generated by the current study, i.e. the SSR genotyping, are available at the INRAE data portal (https://data.inrae.fr/) where they can be freely retrieved under the link: https://doi.org/10.15454/4DKVVV
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Acknowledgements
Molecular analysis was performed at the GenoToul Get-PlaGe (INRAE Center of Toulouse) and GENTYANE (INRAE Center of Clermont-Ferrand) platforms. The authors wish to acknowledge all the people who helped in collecting the samples, in particular, collaborators from Le Plantivore at Château Ville-vieille, Histoire de Confiture at Plampinet, Nevache, C. Gatineau from Cervières and the managers of the Queyras and Mercantour natural parks. We thank the curators of the French Genetic Resources Centre (Marine Delmas) and of the USDA-ARS National Clonal Germplasm Repository (Davis, California, John Preece). We acknowledge the good and efficient care of the plants at the UMR BFP (Unité Mixte de Recherches Biologie du Fruit et Pathogènes, INRAE) by Jean-Philippe Eyquard and Pascal Briard. Appropriate permissions from responsible authorities for collecting and using Prunus samples from Central Asia and Caucasia were obtained by the local collaborators. The official authorization for the survey and sampling of P. brigantina genetic resources is registered and accessible through the following link: https://absch.cbd.int/database/ABSCH-IRCC-FR-246978. The rest of the samples were kindly provided, with due authorizations, by the curators of the French INRAE Genetic Resources Centre (GRC) and the USDA-ARS National Clonal Germplasm Repository (Davis, California), further details are available on their respective databases.
Funding
S.L. is a recipient of a Chinese Scholarship Council PhD grant. Part of the cost for genotyping and E.H. internship were supported by the PRIMA FREECLIMB project (ANR-18-PRIM-0001-10).
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Figure S1.
DeltaK plot as a function of K for the Prunus brigantina (A) and Prunophora (B) dataset. (PNG 120 kb)
Figure S2.
Bayesian clustering on Prunus brigantina samples in the French Alps. Prunus brigantina dataset that included 71 individuals sampled from the French Alps and two samples from the French CRB repository (PNG 1621 kb)
Figure S3.
Bayesian analysis on Armeniaca and wild Prunus brigantina accessions. Genetic subdivision among Armeniaca species, P. brigantina included, was inferred with STRUCTURE with 24 microsatellite markers listed in Table S2. The 648 samples belong to the five Armeniaca species as described by Rehder (1940) and correspond to European, Central Asian and Chinese P. armeniaca (N = 474), P. mume (N = 9), P. sibirica (N = 84), P. mandshurica (N = 8) and P. brigantina (N = 73). More details on those samples, except for P. brigantina (this study), are provided by Liu et al. (2019). (PNG 635 kb)
Figure S4.
Bayesian analysis on the Prunus brigantina dataset together with an extended Prunophora dataset. Genetic subdivision among Armeniaca, Prunus and Prunocerasus species was inferred with STRUCTURE with 23 microsatellite markers after removal of UDP96_018 due to poor amplification in cherry plums (supplemental information for the list of markers). The 226 samples belong to three different Prunophora species including P. brigantina (N = 73), P. cerasifera (N = 66), P. armeniaca (N = 87), P. salicina (N = 10), P. mume (N = 9), P. mexicana (N = 1), P. munsoniana (N = 1), P. maritima (N = 1), P. americana (N = 1) and P. subcordata (N = 1). The blue stars (*), at the bottom of the bar plots, correspond to Japanese plums (P. salicina) admixed with P. cerasifera. (PNG 1776 kb)
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Liu, S., Decroocq, S., Harte, E. et al. Genetic diversity and population structure analyses in the Alpine plum (Prunus brigantina Vill.) confirm its affiliation to the Armeniaca section. Tree Genetics & Genomes 17, 2 (2021). https://doi.org/10.1007/s11295-020-01484-6
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DOI: https://doi.org/10.1007/s11295-020-01484-6