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Bayesian and Phylogenic Approaches for Studying Relationships among Table Olive Cultivars.
Biochem Genet. 2017 Aug; 55(4):300-313.BG

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 2) value, the best model demonstrated the power of the pollinization on the tree productivity (R 2 = 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.

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Publisher Full Text (DOI)

Authors+Show Affiliations

Ben Ayed R
Laboratory of Molecular and Cellular Screening Processes, Genomics and Bioinformatics Group, Centre of Biotechnology of Sfax, PB '1177', 3018, Sfax, Tunisia. raydabenayed@yahoo.fr.
Ennouri K
Laboratory of Molecular and Cellular Screening Processes, Genomics and Bioinformatics Group, Centre of Biotechnology of Sfax, PB '1177', 3018, Sfax, Tunisia.
Ben Amar F
LR: Amélioration et Protection des Ressources Génétiques de l'Olivier - Institut de l'Olivier, Route de l'aéroport km 1.5, BP 1087, 3003, Sfax, Tunisia.
Moreau F
Institut National de la Recherche Agronomique (INRA), 2 Place Pierre Viala, 34000, Montpellier, France.
Triki MA
LR: Amélioration et Protection des Ressources Génétiques de l'Olivier - Institut de l'Olivier, Route de l'aéroport km 1.5, BP 1087, 3003, Sfax, Tunisia.
Rebai A
Laboratory of Molecular and Cellular Screening Processes, Genomics and Bioinformatics Group, Centre of Biotechnology of Sfax, PB '1177', 3018, Sfax, Tunisia.

MeSH

Bayes TheoremComputational BiologyFruitMicrosatellite RepeatsOleaOlive OilPhylogenyPolymorphism, Genetic

Pub Type(s)

Journal Article

Language

eng

PubMed ID

28466379

Citation

Ben Ayed, Rayda, et al. "Bayesian and Phylogenic Approaches for Studying Relationships Among Table Olive Cultivars." Biochemical Genetics, vol. 55, no. 4, 2017, pp. 300-313.
Ben Ayed R, Ennouri K, Ben Amar F, et al. Bayesian and Phylogenic Approaches for Studying Relationships among Table Olive Cultivars. Biochem Genet. 2017;55(4):300-313.
Ben Ayed, R., Ennouri, K., Ben Amar, F., Moreau, F., Triki, M. A., & Rebai, A. (2017). Bayesian and Phylogenic Approaches for Studying Relationships among Table Olive Cultivars. Biochemical Genetics, 55(4), 300-313. https://doi.org/10.1007/s10528-017-9802-0
Ben Ayed R, et al. Bayesian and Phylogenic Approaches for Studying Relationships Among Table Olive Cultivars. Biochem Genet. 2017;55(4):300-313. PubMed PMID: 28466379.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Bayesian and Phylogenic Approaches for Studying Relationships among Table Olive Cultivars. AU - Ben Ayed,Rayda, AU - Ennouri,Karim, AU - Ben Amar,Fathi, AU - Moreau,Fabienne, AU - Triki,Mohamed Ali, AU - Rebai,Ahmed, Y1 - 2017/05/02/ PY - 2016/12/01/received PY - 2017/04/19/accepted PY - 2017/5/4/pubmed PY - 2017/8/5/medline PY - 2017/5/4/entrez KW - Directed acyclic graph KW - Principal components analysis KW - Principal coordinate analysis KW - Productivity KW - Table olive KW - Unweighted pair group method with arithmetic mean SP - 300 EP - 313 JF - Biochemical genetics JO - Biochem Genet VL - 55 IS - 4 N2 - 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 2) value, the best model demonstrated the power of the pollinization on the tree productivity (R 2 = 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. SN - 1573-4927 UR - https://www.unboundmedicine.com/medline/citation/28466379/Bayesian_and_Phylogenic_Approaches_for_Studying_Relationships_among_Table_Olive_Cultivars_ L2 - https://doi.org/10.1007/s10528-017-9802-0 DB - PRIME DP - Unbound Medicine ER -