scholarly journals Green light perception paved the way for the diversification of GAF domain photoreceptors

2021 ◽  
Author(s):  
Nibedita Priyadarshini ◽  
Niklas Steube ◽  
Dennis Wiens ◽  
Rei Narikawa ◽  
Annegret Wilde ◽  
...  

AbstractPhotoreceptors are proteins that sense incident light and then trigger downstream signaling events. Phytochromes are linear tetrapyrrole-binding photoreceptors present in plants, algae, fungi, and various bacteria. Most phytochromes respond to red and far-red light signals. Among the phytochrome superfamily, cyanobacteria-specific cyanobacteriochromes show much more diverse optical properties covering the entire visible region. Both phytochromes and cyanobacteriochromes share the GAF domain scaffold to cradle the chromophore as the light-sensing region. It is unknown what physiological demands drove the evolution of cyanobacteriochromes in cyanobacteria. Here we utilize ancestral sequence reconstruction and report that the resurrected ancestral cyanobacteriochrome proteins reversibly respond to green and red light signals. pH titration analyses indicate that the deprotonation of the bound phycocyanobilin chromophore enables the photoreceptor to perceive green light. The ancestral cyanobacteriochromes show modest thermal reversion to the green light-absorbing form, suggesting that they evolved to sense green-rich irradiance rather than red light, which is preferentially utilized for photosynthesis. In contrast to plants and green algae, many cyanobacteria can utilize green light for photosynthesis with their special light-harvesting complexes, phycobilisomes. The evolution of green/red sensing cyanobacteriochromes may therefore have allowed ancient cyanobacteria to acclimate to different light environments by rearranging the absorption capacity of the cyanobacterial antenna complex by chromatic acclimation.Significance StatementLight serves as a crucial environmental stimulus affecting the physiology of organisms across all kingdoms of life. Photoreceptors serve as important players of light responses, absorbing light and actuating biological processes. Among a plethora of photoreceptors, cyanobacteriochromes arguably have the wealthiest palette of color sensing, largely contributing to the success of cyanobacteria in various illuminated habitats. Our ancestral sequence reconstruction and the analysis of the resurrected ancestral proteins suggest that the very first cyanobacteriochrome most probably responded to the incident green-to-red light ratio, in contrast to modern red/far-red absorbing plant phytochromes. The deprotonation of the light-absorbing pigment for green light-sensing was a crucial molecular event for the invention of the new class of photoreceptors with their huge color tuning capacity.

2021 ◽  
Vol 69 ◽  
pp. 131-141
Author(s):  
Matthew A. Spence ◽  
Joe A. Kaczmarski ◽  
Jake W. Saunders ◽  
Colin J. Jackson

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Ryutaro Furukawa ◽  
Wakako Toma ◽  
Koji Yamazaki ◽  
Satoshi Akanuma

Abstract Enzymes have high catalytic efficiency and low environmental impact, and are therefore potentially useful tools for various industrial processes. Crucially, however, natural enzymes do not always have the properties required for specific processes. It may be necessary, therefore, to design, engineer, and evolve enzymes with properties that are not found in natural enzymes. In particular, the creation of enzymes that are thermally stable and catalytically active at low temperature is desirable for processes involving both high and low temperatures. In the current study, we designed two ancestral sequences of 3-isopropylmalate dehydrogenase by an ancestral sequence reconstruction technique based on a phylogenetic analysis of extant homologous amino acid sequences. Genes encoding the designed sequences were artificially synthesized and expressed in Escherichia coli. The reconstructed enzymes were found to be slightly more thermally stable than the extant thermophilic homologue from Thermus thermophilus. Moreover, they had considerably higher low-temperature catalytic activity as compared with the T. thermophilus enzyme. Detailed analyses of their temperature-dependent specific activities and kinetic properties showed that the reconstructed enzymes have catalytic properties similar to those of mesophilic homologues. Collectively, our study demonstrates that ancestral sequence reconstruction can produce a thermally stable enzyme with catalytic properties adapted to low-temperature reactions.


2018 ◽  
Vol 35 (7) ◽  
pp. 1783-1797 ◽  
Author(s):  
Ricardo Assunção Vialle ◽  
Asif U Tamuri ◽  
Nick Goldman

2019 ◽  
Vol 400 (3) ◽  
pp. 367-381 ◽  
Author(s):  
Kristina Straub ◽  
Mona Linde ◽  
Cosimo Kropp ◽  
Samuel Blanquart ◽  
Patrick Babinger ◽  
...  

Abstract For evolutionary studies, but also for protein engineering, ancestral sequence reconstruction (ASR) has become an indispensable tool. The first step of every ASR protocol is the preparation of a representative sequence set containing at most a few hundred recent homologs whose composition determines decisively the outcome of a reconstruction. A common approach for sequence selection consists of several rounds of manual recompilation that is driven by embedded phylogenetic analyses of the varied sequence sets. For ASR of a geranylgeranylglyceryl phosphate synthase, we additionally utilized FitSS4ASR, which replaces this time-consuming protocol with an efficient and more rational approach. FitSS4ASR applies orthogonal filters to a set of homologs to eliminate outlier sequences and those bearing only a weak phylogenetic signal. To demonstrate the usefulness of FitSS4ASR, we determined experimentally the oligomerization state of eight predecessors, which is a delicate and taxon-specific property. Corresponding ancestors deduced in a manual approach and by means of FitSS4ASR had the same dimeric or hexameric conformation; this concordance testifies to the efficiency of FitSS4ASR for sequence selection. FitSS4ASR-based results of two other ASR experiments were added to the Supporting Information. Program and documentation are available at https://gitlab.bioinf.ur.de/hek61586/FitSS4ASR.


2004 ◽  
Vol 21 (10) ◽  
pp. 1871-1883 ◽  
Author(s):  
Neeraja M. Krishnan ◽  
Hervé Seligmann ◽  
Caro-Beth Stewart ◽  
A. P. Jason de Koning ◽  
David D. Pollock

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