Cargando…

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

To enhance and highlight the authentication and traceability of table olive oil, we considered the analysis of 11 Tunisian table olive cultivars based on seven SNP molecular markers (SOD, CALC, FAD2.1, FAD2.3, PAL70, ANTHO3, and SAD.1) localized in six different genes. Accordingly, we assessed the p...

Descripción completa

Detalles Bibliográficos
Autores principales: Ben Ayed, Rayda, Rebai, Ahmed
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6381586/
https://www.ncbi.nlm.nih.gov/pubmed/30881998
http://dx.doi.org/10.1155/2019/8291341
_version_ 1783396529397039104
author Ben Ayed, Rayda
Rebai, Ahmed
author_facet Ben Ayed, Rayda
Rebai, Ahmed
author_sort Ben Ayed, Rayda
collection PubMed
description To enhance and highlight the authentication and traceability of table olive oil, we considered the analysis of 11 Tunisian table olive cultivars based on seven SNP molecular markers (SOD, CALC, FAD2.1, FAD2.3, PAL70, ANTHO3, and SAD.1) localized in six different genes. Accordingly, we assessed the potential genotype-phenotypes links between the seven SNPs, on the one hand, and the quantitative and qualitative parameters, on the other. The obtained genotypes were analyzed with computational biology tools based on bivariate analysis, multinomial logistic regression, and the Bayesian networks modeling. Obtained results showed that PAL70 SNP marker was negatively influenced by the phenol rate (r = -0.886; p <0.001), the oxidative stability (r = -0.884; p <0.001), traducing a direct effect of the PAL70 genotype deviations on the proportion of total phenol for each variety. Additionally, we revealed a significant association of SAD.1 marker with the content of the linolenic unsaturated fatty acids (C18:3; p=0.046). Moreover, SAD.1 was positively correlated with the saturated stearic acid C18:0 (r = 0.644; p = 0.032) based on multinomial logistic regression and Bayesian networks modeling, respectively. This research work provides better understanding and characterization of the quality of Tunisian table olive and supplies a significant knowledge and data information for table olive traceability and breeding.
format Online
Article
Text
id pubmed-6381586
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher Hindawi
record_format MEDLINE/PubMed
spelling pubmed-63815862019-03-17 Tunisian Table Olive Oil Traceability and Quality Using SNP Genotyping and Bioinformatics Tools Ben Ayed, Rayda Rebai, Ahmed Biomed Res Int Research Article To enhance and highlight the authentication and traceability of table olive oil, we considered the analysis of 11 Tunisian table olive cultivars based on seven SNP molecular markers (SOD, CALC, FAD2.1, FAD2.3, PAL70, ANTHO3, and SAD.1) localized in six different genes. Accordingly, we assessed the potential genotype-phenotypes links between the seven SNPs, on the one hand, and the quantitative and qualitative parameters, on the other. The obtained genotypes were analyzed with computational biology tools based on bivariate analysis, multinomial logistic regression, and the Bayesian networks modeling. Obtained results showed that PAL70 SNP marker was negatively influenced by the phenol rate (r = -0.886; p <0.001), the oxidative stability (r = -0.884; p <0.001), traducing a direct effect of the PAL70 genotype deviations on the proportion of total phenol for each variety. Additionally, we revealed a significant association of SAD.1 marker with the content of the linolenic unsaturated fatty acids (C18:3; p=0.046). Moreover, SAD.1 was positively correlated with the saturated stearic acid C18:0 (r = 0.644; p = 0.032) based on multinomial logistic regression and Bayesian networks modeling, respectively. This research work provides better understanding and characterization of the quality of Tunisian table olive and supplies a significant knowledge and data information for table olive traceability and breeding. Hindawi 2019-02-06 /pmc/articles/PMC6381586/ /pubmed/30881998 http://dx.doi.org/10.1155/2019/8291341 Text en Copyright © 2019 Rayda Ben Ayed and Ahmed Rebai. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Ben Ayed, Rayda
Rebai, Ahmed
Tunisian Table Olive Oil Traceability and Quality Using SNP Genotyping and Bioinformatics Tools
title Tunisian Table Olive Oil Traceability and Quality Using SNP Genotyping and Bioinformatics Tools
title_full Tunisian Table Olive Oil Traceability and Quality Using SNP Genotyping and Bioinformatics Tools
title_fullStr Tunisian Table Olive Oil Traceability and Quality Using SNP Genotyping and Bioinformatics Tools
title_full_unstemmed Tunisian Table Olive Oil Traceability and Quality Using SNP Genotyping and Bioinformatics Tools
title_short Tunisian Table Olive Oil Traceability and Quality Using SNP Genotyping and Bioinformatics Tools
title_sort tunisian table olive oil traceability and quality using snp genotyping and bioinformatics tools
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6381586/
https://www.ncbi.nlm.nih.gov/pubmed/30881998
http://dx.doi.org/10.1155/2019/8291341
work_keys_str_mv AT benayedrayda tunisiantableoliveoiltraceabilityandqualityusingsnpgenotypingandbioinformaticstools
AT rebaiahmed tunisiantableoliveoiltraceabilityandqualityusingsnpgenotypingandbioinformaticstools