Back

A transcriptional regulatory circuit for the photosynthetic acclimation of microalgae to carbon dioxide limitation

Olga Blifernez-Klassen; Hanna Berger; Birgit Gerlinde Katharina Mittmann; Viktor Klassen; Louise Schelletter; Tatjana Buchholz; Thomas Baier; Maryna Soleimani; Lutz Wobbe; Olaf Kruse

2020-07-10 plant biology
10.1101/2020.07.09.195545 bioRxiv
Show abstract

In green microalgae, prolonged exposure to inorganic carbon depletion requires long-term acclimation responses, based on a modulated expression of genes and adjusting photosynthetic activity to the prevailing supply of carbon dioxide. Here, we depict a microalgal regulatory cycle, adjusting the light-harvesting capacity at PSII to the prevailing supply of carbon dioxide in Chlamydomonas reinhardtii. It engages a newly identified low carbon dioxide response factor (LCRF), which belongs to the Squamosa promoter binding protein (SBP) family of transcription factors, and the previously characterized cytosolic translation repressor NAB1. LCRF combines a DNA-binding SBP domain with a conserved domain for protein-protein interactions and transcription of the LCRF gene is rapidly induced by carbon dioxide depletion. LCRF activates transcription of the NAB1 gene by specifically binding to tetranucleotide motifs present in its promoter. Accumulation of the NAB1 protein enhances translational repression of its prime target mRNA, encoding the PSII-associated major light-harvesting protein LHCBM6. The resulting reduction of the PSII antenna size helps maintaining a low excitation during the prevailing carbon dioxide limitation. Analyses of low carbon dioxide acclimation in nuclear insertion mutants devoid of a functional LCRF gene confirm the essentiality of this novel transcription factor for the regulatory circuit.

Matching journals

The top 5 journals account for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.