Identification of gene pools used in restoration and conservation by chloroplast microsatellite markers in Iberian pine species
2017
Hernández-Tecles, Enrique | de Las Heras, Jorge | Lorenzo, Zaida | Navascués, Miguel | Alia, Ricardo | Universidad de Castilla-La Mancha = University of Castilla-La Mancha (UCLM) | Centre de Biologie pour la Gestion des Populations (UMR CBGP) ; Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut National de la Recherche Agronomique (INRA)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Université de Montpellier (UM)-Institut de Recherche pour le Développement (IRD [Occitanie])-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro) | Universidad de Valladolid [Valladolid] (UVa)
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Show more [+] Less [-]English. Aim of study: To contribute to the characterization of the origin of material used in afforestation, restoration or conservation activities by using Cp-SSR markers. Area of study: We used information from the natural range of Iberian pines, from Spain. Material and methods: We used Iberian pines as an example to undertook gene pool characterization based on a wide Iberian sample of 97 populations from five Pinus species (Pinus halepensis, Pinus pinaster, Pinus nigra, Pinus sylvestris and Pinus uncinata). Haplotypes from each analyzed tree (derived from nine chloroplast microsatellites markers in P. halepensis and six in the rest of the species) were obtained. Based on this information we subdivided each species in regions (considering both genetic structure and its application in afforestation, restoration and conservation programs) and tested the assignation of populations to the different groups based on the genetic distance among samples. Main results: The rate of successful identification of populations among the different species was very high (> 94 %) for P. nigra, P. sylvestris and P. uncinata, high (81 %) for P. pinaster, and low (< 65 %) for P. halepensis. Research highlights: Chloroplast DNA markers from extensive population datasets can be used to assign the origin of the forest reproductive material in some pine species.
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