Project description:We aimed to identify miRNA regulated by alternate bearing in O. europaea. For this purpose, six olive (Olea europaea L. )(Ayvalık variety) small RNA libraries were constructed from fruits (ripe and unripe) and leaves ("on-year" and "off-year" mature -leaven in November and juvenile - leaven in July plants) and sequenced by high-throughput Illumina sequencing. Bioinformatics analyses of 93,526,915 reads identified 135 conserved miRNA, belonging to 22 miRNA families in olive tree. In addition, 38 novel miRNA were discovered in the datasets. Expression of olive tree miRNA varied greatly among the six libraries, indicating contribution of diverse miRNA in balancing between reproductive and vegetative phases. The differential expression of miRNA was evaluated on the basis of the developmental phase of the samples.
Project description:We carried out genome wide transcriptome analyses in different organs and developmental stages of the olive tree using the NimbleGen Array oligonucleotide probe sets. Cluster analyses of the genes showed that samples collected from different organs could be sorted into separate groups. The nutritional control had a particularly remarkable impact on the alternate bearing for O. europaea, as shown by the differential expressions of transcripts under different developmental phases and organs Six sample sets were prepared for array analyses: i) unripe fruit (UF); ii) ripe fruit (RF); iii) “on-year” mature leaf (November sample, ON-M); iv) “on-year” juvenile leaf (July sample, ON-J); v) “off-year” mature leaf (November samples, OFF-M); and vi) “off-year” juvenile leaf (July sample, OFF-J).
Project description:We aimed to identify miRNA regulated by alternate bearing in O. europaea. For this purpose, six olive (Olea europaea L. )(Ayvalık variety) small RNA libraries were constructed from fruits (ripe and unripe) and leaves ("on-year" and "off-year" mature -leaven in November and juvenile - leaven in July plants) and sequenced by high-throughput Illumina sequencing. Bioinformatics analyses of 93,526,915 reads identified 135 conserved miRNA, belonging to 22 miRNA families in olive tree. In addition, 38 novel miRNA were discovered in the datasets. Expression of olive tree miRNA varied greatly among the six libraries, indicating contribution of diverse miRNA in balancing between reproductive and vegetative phases. The differential expression of miRNA was evaluated on the basis of the developmental phase of the samples. Sequences of six olive miRNAs (Olea europaea L. )(Ayvalık variety) plants (ripe and unripe fruits, leaves of mature and juvenile plants of both "on-year" and "off-year") were generated by Illumina sequencing
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:We carried out genome wide transcriptome analyses in different organs and developmental stages of the olive tree using the NimbleGen Array oligonucleotide probe sets. Cluster analyses of the genes showed that samples collected from different organs could be sorted into separate groups. The nutritional control had a particularly remarkable impact on the alternate bearing for O. europaea, as shown by the differential expressions of transcripts under different developmental phases and organs
Project description:This is an RNA-seq study of the transcriptomic activity of different tissues from adult olive tree cv. Picual on field conditions. This analysis unveiled 53,456 genes with expression in at least one tissue; 32,030 of them were expressed in all organs and 19,575 were found to be potential housekeeping genes. In addition, the specific expression pattern in each part of the plant was studied. The flower was clearly the organ with the highest number of exclusive expressed genes, 3,529, and many of them were involved in reproduction. On the contrary, the stem only showed 229 exclusive expressed genes. The gene ontology (GO) terms analysis of these genes in each organ highlighted some tissue-specific pathways. In general, many of these organ-specific genes are involved in regulatory activities and have nuclear protein localization, with the exception of the leave, where there are also many genes whose coded proteins have plastid localization; to a lesser extent, this was also observed in stems. On the other hand, the pathogen defense and immunity pathways are highly represented in the roots. These data show a complex pattern of gene expression in different organs.
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.
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.