Project description:Transcriptomic profiling of the diatom Thalassiosira pseudonana at normal and elevated CO2 levels and at normal and elevated light levels. Common reference total RNA (Agilent Quick-Amp Cy3-labeled) was used in all arrays as an internal standard.
Project description:Transcriptomic profiling of the diatom Thalassiosira pseudonana at normal and elevlated CO2 levels and at normal and elevated light levels. Common reference total RNA (Agilent Quick-Amp Cy3-labeled) was used in all arrays as an internal standard. Triplicate batch cultures grown at normal (~400ppm) and elevated (~800ppm) CO2 levels, both at i) normal or ii) elevated light levels. Samples were taken during a) exponential and b) stationary growth during all growth experiments. Result: 48 total transcriptomic measurements: [3 parallel replicates] x [400ppm, 800ppm] x [normal light, high light] x [exponential, stationary] x [2 serial replicates]
Project description:Transcript levels of all T. pseudonana genes was measured every twelve hours throughout the batch (non-chemostatic) growth of axenic cells grown in large glass bioreactors on a 12hr:12hr dark:light cycle for five days. The data were analyzed to reveal the physiological and regulatory changes that recurred in this diatom when transitioning between dark and light conditions, as well as from exponential phase to stationary, nutrient limited conditions. The longitudinal experiment was performed with two replicates, at 400 and 800ppm CO2.
Project description:To identify the molecular components involved in diatom cell division, global transcript level changes were monitored over the silicon-synchronized cell cycle the model diatom Thalassiosira pseudonana.
Project description:We applied an iTRAQ-based quantitative proteomic approach to compare the protein expression profiles of Thalassiosira pseudonana grown in nutrient-replete, and N-, P- and Si-deficient conditions.
Project description:Transcript levels of all T. pseudonana genes was measured every twelve hours throughout the batch (non-chemostatic) growth of axenic cells grown in large glass bioreactors on a 12hr:12hr dark:light cycle for five days. The data were analyzed to reveal the physiological and regulatory changes that recurred in this diatom when transitioning between dark and light conditions, as well as from exponential phase to stationary, nutrient limited conditions. The longitudinal experiment was performed with two replicates, at 400 and 800ppm CO2. Two growth experiments were conducted, with 10 and 9 longitudinal samples collected from each experiment, respectively. Two-color arrays were used with dye flips for labeling. A common internal reference sample was used for one channel on each array. Expression changes for longitudinal analysis were calculated as the difference from the mean log2 expression ratio for each to the common reference sample, for each gene, over all samples within an experiment. For the analysis of diel states in T. pseudonana, samples from the two series were matched according to the time from innoculation, and divided into four classes: dawn samples (taken at the end of each dark phase), dusk samples (taken at the end of each light phase), exponential samples (the first five samples in each series prior to a drop in growth rate on Day 3), and stationary samples (all samples including following the drop in growth rate on Day 3).
Project description:Iron (Fe) is an important growth limiting factor for diatoms and its availability is further restricted by changes in the carbonate chemistry of the water. We investigated the physiological attributes and transcriptional profiles of the diatom Thalassiosira pseudonana grown on a day:night cycle under different CO2/pH and iron concentrations, that in combination generated available iron (Fe’) concentrations of 1160, 233, 58 and 12 pM. We found the light-dark conditions to be the main driver of transcriptional patterns, followed by Fe’ concentration and CO2 availability, respectively. At the highest Fe’ (1160 pM), 55% of the transcribed genes were differentially expressed between day and night, whereas at the lowest Fe’ (12 pM), only 28% of the transcribed genes displayed comparable patterns. While Fe limitation disrupts the diel transcriptional patterns for genes in most central metabolism pathways, the diel periodicity of light- signaling molecules and glycolytic genes, was relatively robust in response to reduced Fe’. Moreover, we identified a non-canonical splicing of transcripts encoding triose-phosphate isomerase, a key-enzyme of glycolysis, generating transcript isoforms that would encode proteins with and without an active site. Transcripts that encoded an active enzyme maintained a diel pattern at low Fe’, while transcripts that encoded the non-active enzyme lost the diel pattern. This work illustrates the interplay between nutrient limitation and transcriptional regulation over the diel cycle. Considering that future ocean conditions will reduce the availability of Fe in many parts of the oceans, our work identifies some of the regulatory mechanisms that may shape future ecological communities.
Project description:Phytoplankton and bacteria form the base of marine ecosystems and their interactions drive global biogeochemical cycles. The effect of bacteria and bacteria-produced compounds on diatoms range from synergistic to pathogenic and can affect the physiology and transcriptional patterns of the interacting diatom. Here, we investigate physiological and transcriptional changes in the marine diatom Thalassiosira pseudonana induced by extracellular metabolites of a known antagonistic bacterium Croceibacter atlanticus. Mono-cultures of C. atlanticus released compounds that inhibited diatom cell division and elicited a distinctive phenotype of enlarged cells with multiple plastids and nuclei, similar to what was observed when the diatom was co-cultured with the live bacteria. The extracellular C. atlanticus metabolites induced transcriptional changes in diatom pathways that include recognition and signaling pathways, cell cycle regulation, carbohydrate and amino acid production, as well as cell wall stability. Phenotypic analysis showed a disruption in the diatom cell cycle progression and an increase in both intra- and extracellular carbohydrates in diatom cultures after bacterial exudate treatment. The transcriptional changes and corresponding phenotypes suggest that extracellular bacterial metabolites, produced independently of direct bacterial-diatom interaction, may modulate diatom metabolism in ways that support bacterial growth.
Project description:To characterize the transcript level component of metabolic regulation, genome-wide transcript level changes were documented in the model diatom Thalassiosira pseudonana over a time-course of silicon starvation. Growth, cell cycle progression, chloroplast replication, fatty acid composition, pigmentation, and photosynthetic parameters were characterized alongside lipid accumulation. Extensive coordination of large suites of genes was observed, highlighting the existence of clusters of co-regulated genes as a key feature of global gene regulation in T. pseudonana. The identity of key enzymes for carbon metabolic pathway inputs (photosynthesis) and outputs (growth and storage) reveals these clusters are organized to synchronize these processes.
Project description:Diatoms are important primary producers in the world’s oceans, yet their growth is constrained in large regions by low bioavailable iron (Fe). Low Fe-induced limitation of primary production is due to requirements for Fe in components of essential metabolic pathways including photosynthesis and other chloroplast plastid functions. Studies have shown that under Fe-limited stress, diatoms alter plastid-specific processes, including components of electron transport. These physiological changes suggest changes of protein content and their abundance within the diatom plastid. While in-silico predictions provide putative information on plastid-localized proteins, knowledge of diatom plastid proteins remains limited in comparison to model photosynthetic organisms. To characterize proteins enriched in diatom plastids we have used shotgun proteomics to assess the proteome of subcellular plastid-enriched fractions from Thalassiosira pseudonana. To improve our understanding of how the plastid proteome is remodeled in response to Fe limitation, proteome sequencing has been performed on T. pseudonana grown under Fe replete and limited conditions. These analyses have shown that Fe limitation regulates major metabolic pathways in the plastid, including the Calvin cycle, as well as changes in light harvesting protein expression. In-silico localization predictions of proteins identified in this plastid-enriched proteome allowed for an in-depth comparison of theoretical vs observed plastid-localization, providing evidence for the potential of additional protein import pathways into the diatom plastid.