Shotgun proteomic analysis of the unicellular alga Ostreococcus tauri.

Ostreococcus tauri is a unicellular green alga and amongst the smallest and simplest free-living eukaryotes. The O. tauri genome sequence was determined in 2006. Molecular, physiological and taxonomic data that has been generated since then highlight its potential as a simple model species for algae and plants. However, its proteome remains largely unexplored. This paper describes the global proteomic study of O. tauri, using mass spectrometry-based approaches: phosphopeptide enrichment, cellular fractionation, label-free quantification and (15)N metabolic labeling. The O. tauri proteome was analyzed under the following conditions: sampling at different times during the circadian cycle, after 24h of illumination, after 24h of darkness and under various nitrogen source supply levels. Cell cycle related proteins such as dynamin and kinesin were significantly up-regulated during the daylight-to-darkness transition. This is reflected by their higher intensity at ZT13 and this transition phase coincides with the end of mitosis. Proteins involved in several metabolic mechanisms were found to be up-regulated under low nitrogen conditions, including carbon storage pathways, glycolysis, phosphate transport, and the synthesis of inorganic polyphosphates. Ostreococcus tauri responds to low nitrogen conditions by reducing its nitrogen assimilation machinery which suggests an atypical adaptation mechanism for coping with a nutrient-limited environment.

Modelling non-stationary gene regulatory processes with a non-homogeneous Bayesian network and the allocation sampler.

METHOD: The objective of the present article is to propose and evaluate a probabilistic approach based on Bayesian networks for modelling non-homogeneous and non-linear gene regulatory processes. The method is based on a mixture model, using latent variables to assign individual measurements to different classes. The practical inference follows the Bayesian paradigm and samples the network structure, the number of classes and the assignment of latent variables from the posterior distribution with Markov Chain Monte Carlo (MCMC), using the recently proposed allocation sampler as an alternative to RJMCMC. RESULTS: We have evaluated the method using three criteria: network reconstruction, statistical significance and biological plausibility. In terms of network reconstruction, we found improved results both for a synthetic network of known structure and for a small real regulatory network derived from the literature. We have assessed the statistical significance of the improvement on gene expression time series for two different systems (viral challenge of macrophages, and circadian rhythms in plants), where the proposed new scheme tends to outperform the classical BGe score. Regarding biological plausibility, we found that the inference results obtained with the proposed method were in excellent agreement with biological findings, predicting dichotomies that one would expect to find in the studied systems. AVAILABILITY: Two supplementary papers on theoretical (T) and experi-mental (E) aspects and the datasets used in our study are available from http://www.bioss.ac.uk/associates/marco/supplement/

Circadian rhythms of ethylene emission in Arabidopsis.

Ethylene controls multiple physiological processes in plants, including cell elongation. Consequently, ethylene synthesis is regulated by internal and external signals. We show that a light-entrained circadian clock regulates ethylene release from unstressed, wild-type Arabidopsis (Arabidopsis thaliana) seedlings, with a peak in the mid-subjective day. The circadian clock drives the expression of multiple ACC SYNTHASE genes, resulting in peak RNA levels at the phase of maximal ethylene synthesis. Ethylene production levels are tightly correlated with ACC SYNTHASE 8 steady-state transcript levels. The expression of this gene is controlled by light, by the circadian clock, and by negative feedback regulation through ethylene signaling. In addition, ethylene production is controlled by the TIMING OF CAB EXPRESSION 1 and CIRCADIAN CLOCK ASSOCIATED 1 genes, which are critical for all circadian rhythms yet tested in Arabidopsis. Mutation of ethylene signaling pathways did not alter the phase or period of circadian rhythms. Mutants with altered ethylene production or signaling also retained normal rhythmicity of leaf movement. We conclude that circadian rhythms of ethylene production are not critical for rhythmic growth.