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Abstract
Photosynthesis can be impaired by combined high light and high temperature (HLHT) stress. Obtaining HLHT tolerant photoautotrophs is laborious and time-consuming, and in most cases the underlying molecular mechanisms remain unclear. Here, we increase the mutation rates of cyanobacterium Synechococcus elongatus PCC 7942 by three orders of magnitude through combinatory perturbations of the genetic fidelity machinery and cultivation environment. Utilizing the hypermutation system, we isolate Synechococcus mutants with improved HLHT tolerance and identify genome mutations contributing to the adaptation process. A specific mutation located in the upstream non-coding region of the gene encoding a shikimate kinase results in enhanced expression of this gene. Overexpression of the shikimate kinase encoding gene in both Synechococcus and Synechocystis leads to improved HLHT tolerance. Transcriptome analysis indicates that the mutation remodels the photosynthetic chain and metabolism network in Synechococcus. Thus, mutations identified by the hypermutation system are useful for engineering cyanobacteria with improved HLHT tolerance.
Cyanobacteria mutants with improved tolerance to combined high light and high temperature (HLHT) are rarely reported. Here, the authors use a hypermutation system for adaptive laboratory evolution and identify a mutant with improved HLHT tolerance by enhancing expression of shikimate kinase.
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1 Qingdao Institute of Bioenergy and Bioprocess Technology, Chinese Academy of Sciences, Qingdao, China (GRID:grid.458500.c) (ISNI:0000 0004 1806 7609); Shandong Energy Institute, Qingdao, China (GRID:grid.458500.c) (ISNI:0000 0004 1806 7609); Qingdao New Energy Shandong Laboratory, Qingdao, China (GRID:grid.458500.c); University of Chinese Academy of Sciences, College of Life Science, Beijing, China (GRID:grid.410726.6) (ISNI:0000 0004 1797 8419)
2 Qingdao Institute of Bioenergy and Bioprocess Technology, Chinese Academy of Sciences, Qingdao, China (GRID:grid.458500.c) (ISNI:0000 0004 1806 7609); Shandong Energy Institute, Qingdao, China (GRID:grid.458500.c) (ISNI:0000 0004 1806 7609); Qingdao New Energy Shandong Laboratory, Qingdao, China (GRID:grid.458500.c); University of Chinese Academy of Sciences, College of Life Science, Beijing, China (GRID:grid.410726.6) (ISNI:0000 0004 1797 8419); Dalian National Laboratory for Clean Energy, Dalian, China (GRID:grid.410752.5)
3 Qingdao Institute of Bioenergy and Bioprocess Technology, Chinese Academy of Sciences, Qingdao, China (GRID:grid.458500.c) (ISNI:0000 0004 1806 7609); Shandong Energy Institute, Qingdao, China (GRID:grid.458500.c) (ISNI:0000 0004 1806 7609); Qingdao New Energy Shandong Laboratory, Qingdao, China (GRID:grid.458500.c); Central South University of Forestry and Technology, College of Life Science and Technology, Changsha, China (GRID:grid.440660.0) (ISNI:0000 0004 1761 0083)
4 Qingdao Institute of Bioenergy and Bioprocess Technology, Chinese Academy of Sciences, Qingdao, China (GRID:grid.458500.c) (ISNI:0000 0004 1806 7609); Shandong Energy Institute, Qingdao, China (GRID:grid.458500.c) (ISNI:0000 0004 1806 7609); Qingdao New Energy Shandong Laboratory, Qingdao, China (GRID:grid.458500.c)
5 Qingdao Institute of Bioenergy and Bioprocess Technology, Chinese Academy of Sciences, Qingdao, China (GRID:grid.458500.c) (ISNI:0000 0004 1806 7609); Shandong Energy Institute, Qingdao, China (GRID:grid.458500.c) (ISNI:0000 0004 1806 7609); Qingdao New Energy Shandong Laboratory, Qingdao, China (GRID:grid.458500.c); University of Chinese Academy of Sciences, College of Life Science, Beijing, China (GRID:grid.410726.6) (ISNI:0000 0004 1797 8419); Dalian National Laboratory for Clean Energy, Dalian, China (GRID:grid.410752.5); Qingdao National Laboratory for Marine Science and Technology, Laboratory for Marine Biology and Biotechnology, Qingdao, China (GRID:grid.484590.4) (ISNI:0000 0004 5998 3072)