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Researchers Find a Common Proteome Response to Divergent Environmental Stresses in Cyanobacterium
Photosynthetic organisms have to coordinate their capacities in photosynthetic biomass production and survival when they are stressed in deleterious environments. However, how such a coordination is achieved remains to be clarified.
Using a photosynthetic model organism Synechocystis sp. PCC 6803, Professors WANG Yingchun’s group from the Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, found that depletion of Hik33, a histidine kinase homologous to ethylene receptor in higher plants, coordinately downregulates proteins in photosynthesis while upregulates heat shock proteins, chaperons, and proteases. Bioinformatic analysis reveals that such a proteome change is a common response to divergent types of stresses (Fig. 1).
This finding establishes Hik33 as a general regulator of stress response in cyanobacteria and underscores the importance of Hik33 in coordinating the photosynthetic biomass production and survival and also explains why Δhik33, a hik33-deficient strain, was more sensitive to different types of stresses (Fig. 2).
Together, their results provide a mechanistic insight, at a system level, on how photosynthetic organism acclimate to divergent type of stresses, and also provide a comprehensive catalog of Hik33-dependent stress responsive proteome. The latter can serve as a useful resource for the scientific community studying how photosynthetic organisms acclimate to changing environments.
This work entitled “Translating Divergent Environmental Stresses into a Common Proteome Response through Hik33 in a Model Cyanobacterium” has been published online in Molecular & Cellular Proteomics (DOI:10.1074/mcp.M117.068080) on May 12, 2017.
This work is supported by the National Natural Science Foundation of China (Grant number: 31670234).
Fig. 1 The heat maps show the upregulated (A) and the downregulated (B) common stress response (CSR) proteins in Δhik33.(Image by IGDB)
Fig. 2 A diagramed model explaining why Δhik33 is more sensitive to abiotic stresses. (Image by IGDB)
Dr. WANG Yingchun