2023/01/06 by Wiebke Halpape, Donat Wulf, Bart Verwaaijen +10 · 1 voice · 1 citation
Biochemistry, Genetics and Molecular Biology · Agricultural and Biological Sciences · #Photosynthetic Processes and Mechanisms #Plant Molecular Biology Research #Lipid metabolism and biosynthesis
paper · pdf · doi:10.1101/2023.01.06.522973
openalex publication_date 2023/01/06 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/23
Abstract Photosynthesis by which plants convert carbon dioxide to sugars using the energy of light is fundamental to life as it forms the basis of nearly all food chains. Surprisingly, our knowledge about its transcriptional regulation remains incomplete. Effort for its agricultural optimization have mostly focused on post-translational regulatory processes 1–3 but photosynthesis is regulated at the post-transcriptional 4 and the transcriptional level 5 . Stacked transcription factor mutations remain photosynthetically active 5,6 and additional transcription factors have been difficult to identify possibly due to redundancy 6 or lethality. Using a random forest decision tree-based machine learning approach for gene regulatory network calculation 7 we determined ranked candidate transcription factors and validated five out of five tested transcription factors as controlling photosynthesis in vivo . The detailed analyses of previously published and newly identified transcription factors suggest that photosynthesis is transcriptionally regulated in a partitioned, non-hierarchical, interlooped network.