Development, characterization and inheritance of new microsatellites in olive (Olea europaea L.) and evaluation of their usefulness in cultivar identification and genetic relationship studies |
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Authors: | Aurora Díaz Raúl De la Rosa Antonio Martín Pilar Rallo |
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Affiliation: | (1) Instituto de Agricultura Sostenible-CSIC, Alameda del Obispo s/n, 14080 Córdoba, Spain;(2) IFAPA, CICE, Junta de Andalucía, Avda Menéndez Pidal s/n, 14080 Córdoba, Spain;(3) Departamento de Ciencias Agroforestales, University of Sevilla-EUITA, Ctra Utrera km 1, 41013 Sevilla, Spain |
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Abstract: | Twelve new microsatellites have been developed in olive. For that purpose, a genomic library of the olive cultivar ‘Arbequina’ was enriched for GA, GT and ACT repeats. Two methods of screening yielded 27 sequences containing microsatellites out of the 119 clones sequenced. The GA repeat seems to be the most abundant motif. Among sequences containing microsatellites, 4 (14.8%) were redundant, 1 (3.7%) was previously described in the literature and 12 (44.4%) could not be used for primers design because the repeat motifs were incomplete. Suitable primer pairs were obtained for the remaining 10 (37.0%) sequences plus an additional 14 recovered from a formerly developed library. For the 24 primer pairs designed, 4 failed to amplify, 8 produced a complex bands pattern and 12 succeeded in giving amplification products. Considering these 12 primer pairs, 10 showed single locus amplification, whereas the other 2 revealed two loci each. This was demonstrated by studying allele segregation in two olive progenies. Sixty-eight alleles were detected for the 12 microsatellites when 51 olive cultivars were analysed. The number of alleles per locus ranged from 1 to 13. The expected heterozygosity varied between 0 and 0.83. All pairs of cultivars could be distinguished using only three microsatellites due to their great discrimination power value. The data coming from genotyping the 51 olive cultivars for 7 out of the 12 new microsatellites were used for constructing a dendrogram by unweighted pair group method with arithmetic mean cluster analysis using the Dice similarity coefficient. Cultivar association according to their geographical origin was observed. |
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Keywords: | Olive Discrimination power Enriched library Multi-locus SSR Genetic similarity |
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