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使用 SNP 基因分型和生物信息学工具进行突尼斯油橄榄溯源和品质评估。

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

机构信息

Molecular and Cellular Screening Processes Laboratory, Centre of Biotechnology of Sfax, BP 1177, 3018, University of Sfax, Tunisia.

出版信息

Biomed Res Int. 2019 Feb 6;2019:8291341. doi: 10.1155/2019/8291341. eCollection 2019.

DOI:10.1155/2019/8291341
PMID:30881998
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6381586/
Abstract

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 ( = -0.886; 0.001), the oxidative stability ( = -0.884; 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; ). Moreover, SAD.1 was positively correlated with the saturated stearic acid C18:0 ( = 0.644; = 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.

摘要

为了增强和突出油橄榄的认证和可追溯性,我们考虑基于七个 SNP 分子标记(SOD、CALC、FAD2.1、FAD2.3、PAL70、ANTHO3 和 SAD.1)对 11 个突尼斯油橄榄品种进行分析,这些标记定位在六个不同的基因中。因此,我们评估了七个 SNP 与定量和定性参数之间的潜在基因型-表型联系。获得的基因型通过基于双变量分析、多项逻辑回归和贝叶斯网络建模的计算生物学工具进行分析。获得的结果表明,PAL70 SNP 标记受到酚类物质含量(=-0.886; 0.001)和氧化稳定性(=-0.884; 0.001)的负面影响,这表明 PAL70 基因型偏差对每种品种总酚含量的直接影响。此外,我们发现 SAD.1 标记与多不饱和脂肪酸(C18:3;)的含量显著相关。此外,基于多项逻辑回归和贝叶斯网络建模,SAD.1 与饱和硬脂酸 C18:0(=0.644; = 0.032)呈正相关。这项研究工作提供了对突尼斯油橄榄质量的更好理解和特征描述,并为油橄榄的可追溯性和育种提供了重要的知识和数据信息。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6ea4/6381586/9bf512d86178/BMRI2019-8291341.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6ea4/6381586/30851075738b/BMRI2019-8291341.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6ea4/6381586/9bf512d86178/BMRI2019-8291341.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6ea4/6381586/30851075738b/BMRI2019-8291341.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6ea4/6381586/9bf512d86178/BMRI2019-8291341.002.jpg

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