Use of molecular markers SSR and SCAR for identification of olive accessions

Abstract

Morphological and agronomical describers are traditionally used in plant characterization. However, the usage of these describers have some limitations such as susceptibility to abiotic and biotic stress and environmental factors. Furthermore, the describers are not stable over time and many can only be evaluated during the adult phase of the plants, which requires time and physical space. Molecular markers offer numerous advantages compared to the conventional alternatives based on phenotype: they are stable and detectable in all vegetable tissues, and are independent of the environment and development phase. One of the main advantages of the use of molecular markers is the time reduction in the identification of genetic diversity among the studied subjects, as the genotypes may even be described for the seed or seedling phase. Many countries have already adopted molecular markers to identify olive cultivars more accurately. The aim of this study was to evaluate the genetic identity of eight olive accessions supposedly belonging to cultivar Arbequina by using microsatellite (SSR) and Sequence Characterized Amplified Region (SCAR) markers. One accession corresponding to the cultivar was also incorporated into the analysis as a reference genotype. The molecular marker data were analyzed on the software GENALEX6. The markers generated an accumulated PI and PE of 1.26 x 10-6 and 0.949, respectively. The results supported the hypothesis that all accessions belong to the cultivar Arbequina, and the markers can therefore be applied to other varieties of olive species.

Development, Characterization and Genetic Diversity of New Microsatellite Markers for Dipteryx Alata Vogel, A Species with Multiple Uses in the Brazilian Cerrado

“…The probability of paternity exclusion through the combined analysis for the developed SSR loci was high, providing high reliability to correctly exclude an individual from paternity [25]. The seven SSR loci were su cient to distinguish between the ninety individuals, indicating that the set of microsatellite markers is e cient in discriminating individuals in populations [24]. According to the linkage disequilibrium test, most loci segregate independently, with no signi cant association between them, except only for pairs of loci (Dalat G6 X Dalat B3, Dalat G6 X Dalat H3, Dalat G6 X Dalat B4 and Dalat B4 X Dalat B5), for which the linkage disequilibrium was signi cant even after Bonferroni correction (α = 0.0023809524) (Table 4).…”

“…The probability of paternity exclusion (PE) based on the seven pairs of microsatellite loci ranged from 0.12 for locus (Dalat B3) to 0.70 for locus (Dalat B4), in the combined analysis, where no parent is known, the average value was 1.00 for all loci (Table 3). The set of microsatellite markers showed a low combined probability of identity (PI), indicating the probability of nding, by chance, two individuals from a sample with the same genotype in a given set of markers is minimal [24]. The probability of paternity exclusion through the combined analysis for the developed SSR loci was high, providing high reliability to correctly exclude an individual from paternity [25].…”

Molecular insight for baru Dipteryx alata (Fabaceae) populations based on novel SSRs

“…The PE through the combined analysis for the developed SSR loci was high, providing high reliability to correctly exclude an individual from paternity (Rocha et al 2018). The seven SSR loci were sufficient to distinguish between ninety individuals, indicating that the set of microsatellite markers is efficient in discriminating individuals in populations (Val et al 2020).…”

“…2). The set of microsatellite markers showed a low combined PI, indicating the probability of finding, by chance, two individuals from a sample with the same genotype in each set of markers is minimal (Val et al 2020). The PE through the combined analysis for the developed SSR loci was high, providing high reliability to correctly exclude an individual from paternity (Rocha et al 2018).…”