Project description:Olive oil is correlated to long life and low rates of cancers and cardiovascular disease. The health benefits of the oil is contributed to the polyphenols. The polyphenols in olive leaf are simialr bit in high concentrations. We wanted to uncover whether measurable changes would occur with supplementation in human participants. we used affymetrix arrays to measure the gene expression changes with olive leaf extract compared to placebo control.
Project description:A transcriptomics approach was used as a tool to unravel gene regulatory network underlying salinity response in a salt-tolerant olive cultivar (cv. Kalamon) by simulating as much as possible olive growing conditions in the field. A 135 day long salinity experiment was conducted using one year old trees exposed to NaCl stress for 90 days followed by 45 days of post-stress period. Total RNA was extracted from the root samples after 15, 45 and 90 days of NaCl-treated and un-treated olive trees as well as after 15 and 45 days of post-treatment period and used for microarray hybridizations using a loop design. Hierarchical clustering of differentially expressed transcripts revealed two major, distinct clusters. Despite the limited number of probe set, a transcriptional regulatory networks was constructed for the salt-tolerant cultivar.
Project description:A comparative transcriptomics approach was used as a tool to unravel gene regulatory networks underlying salinity response in olive trees by simulating as much as possible olive growing conditions in the field. Specifically, we investigated the genotype-dependent differences in the transcriptome response of two olive cultivars, a salt tolerant and a salt sensitive. A 135 day long comparative salinity experiment was conducted using one year old trees exposed to NaCl stress for 90 days followed by 45 days of post-stress period. Total RNA was extracted from the root samples after 15, 45 and 90 days of NaCl-treated and un-treated olive trees as well as after 15 and 45 days of post-treatment period and used for microarray hybridizations using a loop design. Hierarchical clustering of differentially expressed transcripts revealed two major, distinct clusters for each cultivar. Despite the limited number of probe set, transcriptional regulatory networks were constructed for the salt-tolerant and salt-sensitive cultivar. The comparison of the salt responsive transcriptional regulatory networks in olive with those reported for Arabidopsis suggests that a tree species might respond in a similar to Arabidopsis way at the transcriptome level under salinity stress.
Project description:Proteomic analysis is a powerful tool to unravel the complexity of plant cellular processes that underpin the regulation of plant immunity. A major challenge is the improvement of the detectable fraction of the crop proteome that is still markedly lower compared to other omics, such as next generation sequencing technologies. This is due in part to the occurrence of large amounts of secondary compounds, which co-precipitate with proteins and severely interfere with the analysis. Olive leaf tissue is notoriously recalcitrant to common protein extraction methods due to high levels of interfering compounds, hence hampering deep proteomic investigations. The interest in the chemical composition of olive leaves has increased with the scope to re-evaluate this agricultural waste byproduct as their extracts are enriched in diverse bioactive compounds. Many of these secondary metabolites are involved in the defense systems along with their biosynthesis enzymes, whose activity is usually cultivar- and stimuli-dependent. Despite olive leaf proteomics providing important insights into the defense pathways as well as health diagnostic biomarkers, it has received much less attention compared to oil, drupes, seed and pollen tissues. Our study aims to overcome these hurdles and expand the application of deep proteomic analyses to olive leaves. We developed a complete proteomic pipeline, from sample preparation to LC-HRMS and data analyses, allowing the first comparative proteomic study among three Italian olive cultivars, i.e., Leccino, Ogliarola and Coratina, known to exhibit different susceptibility to Xylella fastidiosa infections, and enabling the detection of 1.922 proteins. Olive proteomic research is expected to become an essential part of integrated omics approaches; thus, our study is a significant contribution, paving the way to unravel the molecular complexity underlying the genotype-dependent immune response to stress.
Project description:A comparative transcriptomics approach was used as a tool to unravel gene regulatory networks underlying salinity response in olive trees by simulating as much as possible olive growing conditions in the field. Specifically, we investigated the genotype-dependent differences in the transcriptome response of two olive cultivars, a salt tolerant and a salt sensitive. A 135 day long comparative salinity experiment was conducted using one year old trees exposed to NaCl stress for 90 days followed by 45 days of post-stress period. Total RNA was extracted from the root samples after 15, 45 and 90 days of NaCl-treated and un-treated olive trees as well as after 15 and 45 days of post-treatment period and used for microarray hybridizations using a loop design. Hierarchical clustering of differentially expressed transcripts revealed two major, distinct clusters for each cultivar. Despite the limited number of probe set, transcriptional regulatory networks were constructed for the salt-tolerant and salt-sensitive cultivar. The comparison of the salt responsive transcriptional regulatory networks in olive with those reported for Arabidopsis suggests that a tree species might respond in a similar to Arabidopsis way at the transcriptome level under salinity stress. Five experimental time-points were analyzed: 15days stress, 45days stress, 90days stress, 15days post-stress and 45days post-stress. In each timepoint treated and untreated (control) samples were obtained. Dye swap hybridizations and 4 biological replicates were performed for each treatment/timepoint in a loop design experimental setup. Each sample included three spot replicates.
Project description:A transcriptomics approach was used as a tool to unravel gene regulatory network underlying salinity response in a salt-tolerant olive cultivar (cv. Kalamon) by simulating as much as possible olive growing conditions in the field. A 135 day long salinity experiment was conducted using one year old trees exposed to NaCl stress for 90 days followed by 45 days of post-stress period. Total RNA was extracted from the root samples after 15, 45 and 90 days of NaCl-treated and un-treated olive trees as well as after 15 and 45 days of post-treatment period and used for microarray hybridizations using a loop design. Hierarchical clustering of differentially expressed transcripts revealed two major, distinct clusters. Despite the limited number of probe set, a transcriptional regulatory networks was constructed for the salt-tolerant cultivar. Five experimental time-points were analyzed: 15days stress, 45days stress, 90days stress, 15days post-stress and 45days post-stress. In each timepoint treated and untreated (control) samples were obtained. Dye swap hybridizations and 4 biological replicates were performed for each treatment/timepoint in a loop design experimental setup. Low-quality arrays were not included in the data analysis (36 arrays/samples submitted). Each sample included three spot replicates.