Project description:Molecular oxygen (O2) is necessary for plant metabolic and physiological processes. Land plants have successfully adapted to a range of habitats characterised by very different dynamics of O2 availability. O2 sensing has been mainly characterised in angiosperms, where it is mediated by the N-Cys branch of the N-degron pathway. We aimed to characterise the transcriptional response to limited oxygen availability (hypoxia) in non-seed plants. We set out to compare the transcriptional response to hypoxia in a range of species that recapitulate the major events in the evolution of land plants: M. polymorpha for Hepatophyta, P. patens for Bryophyta, S. moellendorffii for Lycophyta, E. hyemale and P. vittata for eusporangiate and leptosporangiate Monilophyta. Given the differences in each division’s life cycle, we selected the developmental phase that includes the main photosynthetically active organs, to enable comparability of tissues with similar metabolic features. Therefore, we treated mature sporophytes of Marchantia (n), Selaginella (2n), Equisetum (2n) and Pteris (2n) with 1% O2 in the dark for 8 h, while we subjected Physcomitrium gametophores to the same treatment. Controls were maintained under aerobic conditions (21% O2) in the dark. We extracted total mRNAs and sequenced them using the Illumina technology (cit.) to identify differentially expressed genes. We compared the effect of hypoxia on these five species with the datasets available for photosynthetic sporophytes of angiosperms, Arabidopsis thaliana and Oryza sativa . We observed a different extent of response for these species, where P. patens exhibited the mildest changes, in terms of both number of DEGs and extent of up- and down-regulation. In contrast, Arabidopsis and Rice showed a strong response to the treatment.
2025-05-31 | GSE270814 | GEO
Project description:Comparison of cucumber rhizomicrobiome under some agronomic management practices
Project description:We used phytochemical profiling techniques to generate a list of compounds present in each of 13 Equisetum arvense samples sourced globally. We used microarrays to detail the global programme of gene expression underlying the treatment of the model system Saccharomyces cerevisiae to a chosen number of these extracts. A thorough bioinformatic analysis was performed to identify the relationship between phytochemical and gene expression response profiles. We analysed 18 Equisetum arvense microarrays. Six samples were chosen from the original 13 for microarray analysis, 5 of which were performed in duplicate and the sixth in quadruplicate. Control arrays were also performed in quadruplicate.