Integrated Transcriptomic and Proteomic Analysis of the Global Response of Synechococcus to High Light Stress*
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Sufficient light is essential for the growth and physiological functions of photosynthetic organisms, but prolonged exposure to high light (HL) stress can cause cellular damage and ultimately result in the death of these organisms. Synechococcus sp. PCC 7002 (hereafter Synechococcus 7002) is a unicellular cyanobacterium with exceptional tolerance to HL intensities. However, the molecular mechanisms involved in HL response by Synechococcus 7002 are not well understood. Here, an integrated RNA sequencing transcriptomic and quantitative proteomic analysis was performed to investigate the cellular response to HL in Synechococcus 7002. A total of 526 transcripts and 233 proteins were identified to be differentially regulated under HL stress. Data analysis revealed major changes in mRNAs and proteins involved in the photosynthesis pathways, resistance to light-induced damage, DNA replication and repair, and energy metabolism. A set of differentially expressed mRNAs and proteins were validated by quantitative RT-PCR and Western blot, respectively. Twelve genes differentially regulated under HL stress were selected for knockout generation and growth analysis of these mutants led to the identification of key genes involved in the response of HL in Synechococcus 7002. Taken altogether, this study established a model for global response mechanisms to HL in Synechococcus 7002 and may be valuable for further studies addressing HL resistance in photosynthetic organisms.
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Synechococcus sp. PCC 7002 has been reported to grow rapidly under light intensities of up to 2000 μmol photons m−2 s−1 and to survive under extremely high irradiance up to approximately 4500 μmol photons m−2 s−1, equivalent to about two times peak sunlight.
“This strain has been reported to grow rapidly under light intensities of up to 2000 µmol photons m−2 s−1, while also being reported to survive under extremely high irradiance, up to approximately 4500 µmol photons m−2 s−1, equivalent to about two times peak sunlight [69].”
From Cyanobacteria as a Photosynthetic Chassis for Metabolic Pathway Engineering with Heterologous Gene Expression (2026) · cites this paper as [69]
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- Authors
- Xiong, Q., Feng, J., Li, S.-T., Zhang, G.-Y., Qiao, Z.-X., Chen, Z., Wu, Y., Lin, Y., Li, T., Ge, F., & Zhao, J.-D.
- Affiliations
- Chinese Academy of Sciences (CN)
- Corresponding author
- Li, Tao
- Ge, Feng
- Venue
- Molecular & Cellular Proteomics
- Publisher
- Elsevier BV
- Published
- 2015-04
- Volume
- 14
- Issue
- 4
- Pages
- 1038-1053
- ISSN
- 1535-9476 (ISSN-L)
- PMC
- PMC4390250
- OpenAlex
- W2126895025
- Cited by
- 64
- References
- 72
- Citations by year
- 2026: 8 · 2025: 4 · 2024: 6 · 2023: 5 · 2022: 6 · 2021: 8 · 2020: 9 · 2019: 2 · 2018: 6 · 2017: 6 · 2016: 3 · 2015: 1
- FWCI
- 2.31
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Molecular & Cellular Proteomics (publishedVersion, cc-by)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Institute of Hydrobiology, CAS Institutional Repository (submittedVersion)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Photosynthetic Processes and Mechanisms
- Life Sciences › Agricultural and Biological Sciences › Plant Science › Plant Stress Responses and Tolerance
- Life Sciences › Agricultural and Biological Sciences › Plant Science › Light effects on plants
- Keywords
- Synechococcus sp. PCC 7002, high light stress, cyanobacteria, light damage, photosynthesis, DNA replication and repair, energy metabolism, differentially expressed genes, knockout mutants, light tolerance
- MeSH terms
- Bacterial Proteins, Light, Models, Biological, Mutation, RNA, Messenger, Stress, Physiological, Time Factors, Blotting, Western, Reproducibility of Results, Gene Expression Regulation, Bacterial, Cluster Analysis, Reactive Oxygen Species, Thylakoids, Proteome, Gene Expression Profiling, Proteomics, Synechococcus, Gene Knockout Techniques, Transcriptome, Real-Time Polymerase Chain Reaction, Gene Ontology
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