Molecular & Cellular Proteomics · 2014 · 34 citations · 107 references
Life SciencesBioinformaticsBiologyPhotosynthesisPlant BiochemistryProteomicsAlgal Molecular BiologyGreen AlgaePhotosynthesis In MicroorganismsPhotosynthetic MetabolismPhotosystem IiReactive Oxygen SpeciesAlgal ProteomicsChloroplast Stress ResponsesLight StressPhotosynthetic Stress ResponsesProtein Sequence CoverageRetention Time AlignmentSequence Coverage AnalysisSequence Coverage Assessment
Light and oxygen are factors that are very much entangled in the reactive oxygen species (ROS) stress response network in plants, algae and cyanobacteria. The first obligatory step in understanding the ROS network is to separate these responses. In this study, a LC-MS/MS based quantitative proteomic approach was used to dissect the responses of Chlamydomonas reinhardtii to ROS, light and oxygen employing an interlinked experimental setup. Application of novel bioinformatics tools allow high quality retention time alignment to be performed on all LC-MS/MS runs increasing confidence in protein quantification, overall sequence coverage and coverage of all treatments measured. Finally advanced hierarchical clustering yielded 30 communities of co-regulated proteins permitting separation of ROS related effects from pure light effects (induction and repression). A community termed redox(II) was identified that shows additive effects of light and oxygen with light as the first obligatory step. Another community termed 4-down was identified that shows repression as an effect of light but only in the absence of oxygen indicating ROS regulation, for example, possibly via product feedback inhibition because no ROS damage is occurring. In summary the data demonstrate the importance of separating light, O₂ and ROS responses to define marker genes for ROS responses. As revealed in this study, an excellent candidate is DHAR with strong ROS dependent induction profiles.
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