Bayesian and Phylogenic Approaches for Studying Relationships among Table Olive Cultivars

Abstract

To enhance table olive tree authentication, relationship, and productivity, we consider the analysis of 18 worldwide table olive cultivars (Olea europaea L.) based on morphological, biological, and physicochemical markers analyzed by bioinformatic and biostatistic tools. Accordingly, we assess the relationships between the studied varieties, on the one hand, and the potential productivity-quantitative parameter links on the other hand. The bioinformatic analysis based on the graphical representation of the matrix of Euclidean distances, the principal components analysis, unweighted pair group method with arithmetic mean, and principal coordinate analysis (PCoA) revealed three major clusters which were not correlated with the geographic origin. The statistical analysis based on Kendall's and Spearman correlation coefficients suggests two highly significant associations with both fruit color and pollinization and the productivity character. These results are confirmed by the multiple linear regression prediction models. In fact, based on the coefficient of determination (R ) value, the best model demonstrated the power of the pollinization on the tree productivity (R = 0.846). Moreover, the derived directed acyclic graph showed that only two direct influences are detected: effect of tolerance on fruit and stone symmetry on side and effect of tolerance on stone form and oil content on the other side. This work provides better understanding of the diversity available in worldwide table olive cultivars and supplies an important contribution for olive breeding and authenticity.

Pertinence des marqueurs microsatellites (SSR) et apport de la bioinformatique en vue de la valorisation de l’huile d’olive

“…Les marqueurs moléculaires basés sur le polymorphisme de l'ADN nucléaire ont montré une grande aptitude à décrire la variabilité génétique ainsi que sa répartition au sein des populations et des espèces du genre Olea. Différents marqueurs moléculaires ont été appliqués comme les RAPDs [3,4,5,6,7], les AFLPs [8,9,10], les RFLPs [11], les SCARs [12,13], les ISSRs [5,14,15], les SSRs [16,17,18,19,20,21] et les SNPs [22,23,24,25,26,27]. Les marqueurs moléculaires RAPD, AFLP, SCAR, ISSR, SSR et SNP ont été largement utilisés avec succès chez l'olivier à des fins diverses (Tab.…”

“…De plus, Krishnan et al [62] ont développé des modèles basés sur la croissance des cultures afin de mieux comprendre les interactions complexes entre différentes variables environnementales qui influent sur la croissance et le rendement des cultures. Pour l'espèce Olea europaea L., Ben Ayed et al [25] ont identifié deux marqueurs SNP étroitement associés à la composition en acides gras de l'huile d'olive tunisienne et ont conçu des blocs haplotypes, éventuellement responsables des interactions SNP associées aux acides gras en utilisant une simulation génétique statistique. En outre, la modélisation par simulation informatique a été utilisée pour étudier les relations entre les variétés de plantes.…”

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

“…There is a high degree of selfincompatibility is reported for many olive genotypes, and to the strong environmental influence, results of compatibility tests are often contradictory (MONTEMURRO et al, 2019) Many countries have already adopted molecular markers to identify olive cultivars more accurately. In the olive species, the markers are also used to assist breeding programs, track the origin of olive oil, characterize and identify germplasm accessions, and study the outcrossing rate (AYED et al, 2016a;AYED et al, 2016b;AYED et al, 2017; RAIETA; MUCCILLO; COLANTOI, 2015; SEBASTIANI; BUSCONI, 2017; SAKAR; UNVER; ERCISLI, 2016). The microsatellite markers are frequently used in olive studies because of the easy handling, low cost, broad genome sampling, identification of codominant genotypes, and reproducible results (BRAKE et al, 2014;BRACCI et al, 2009).…”

Tunisian Table Olive Oil Traceability and Quality Using SNP Genotyping and Bioinformatics Tools

“…According to our previous results from studies performed on main world table olive varieties [2], the genetic diversity and distribution of table olive varieties are related to several qualitative and quantitative parameters. Additionally, biological and organoleptic markers together with computational biology tools could help characteristics determination of table olives and hence start resolving its authenticity.…”

“…Additionally, biological and organoleptic markers together with computational biology tools could help characteristics determination of table olives and hence start resolving its authenticity. Moreover, this study highlighted that some varieties could be more suitable as olive oil cultivars than table olive consumption regarding their high yield and consistent oil fruit content (22%) [2]. For these reasons, it is crucial to develop strategies and procedures of traceability and authentication that allows rapid and relevant identification and then valorisation of cultivars.…”