How bacterial ribosomal protein L20 assembles with 23 S ribosomal RNA and its own messenger RNA

Different Regulatory Modes of Synechocystis sp. PCC 6803 in Response to Photosynthesis Inhibitory Conditions

Cyanobacteria are promising industrial platforms owing to their ability to produce diverse natural secondary metabolites and nonnative value-added biochemicals from CO₂ and light. To fully utilize their industrial potency, it is critical to understand their photosynthetic efficiency under various environmental conditions. In this study, we elucidated the inhibitory mechanisms of photosynthesis under high-light and low-temperature stress conditions in the model cyanobacterium Synechocystis sp. PCC 6803. Under each stress condition, the transcript abundance and translation efficiency were measured using transcriptome sequencing (RNA-seq) and ribosome profiling, and the genome-wide transcription unit architecture was constructed by data integration of transcription start sites and transcript 3′-end positions obtained from differential RNA-seq and sequencing of 3′-ends (Term-seq), respectively. Our results suggested that the mode of photosynthesis inhibition differed between the two stress conditions; high light stress induced photodamage responses, while low temperature stress impaired the translation efficiency of photosynthesis-associated genes. In particular, poor translation of photosystem I resulted from ribosome stalling at the untranslated regions, affecting the overall photosynthetic yield under low temperature stress. Our comprehensive multiomics analysis with transcription unit architecture provides foundational information on photosynthesis for future industrial strain development.

IMPORTANCE Cyanobacteria are a compelling biochemical production platform for their ability to propagate using light and atmospheric CO₂ via photosynthesis. However, the engineering of strains is hampered by limited understanding of photosynthesis under diverse environmental conditions such as high-light and low-temperature stresses. Herein, we decipher the transcriptomic and translatomic responses of the photosynthetic efficiency to stress conditions using the integrative analysis of multiomic data generated by RNA-seq and ribosome profiling, respectively. Through the generated massive data, along with the guide of the genome-wide transcription unit architecture constructed by transcription start sites and transcript 3′-end positions, we identified the factors affecting photosynthesis at transcription, posttranscription, and translation levels. Importantly, the high-light stress induces photodamage responses, and the low-temperature stress cripples the translation efficiency of photosynthesis-associated genes. The resulting insights provide pivotal information for future cyanobacterial cell factories powered by the engineering toward robust photosynthesis ability.

Recombinant RNA technology: the tRNA scaffold

RNA has emerged as a major player in most cellular processes. Understanding these processes at the molecular level requires homogeneous RNA samples for structural, biochemical and pharmacological studies. So far, this has been a bottleneck, as the only methods for producing such pure RNA have been in vitro syntheses. Here we describe a generic approach for expressing and purifying structured RNA in Escherichia coli, using tools that parallel those available for recombinant proteins. Our system is based on a camouflage strategy, the 'tRNA scaffold', in which the recombinant RNA is disguised as a natural RNA and thus hijacks the host machinery, escaping cellular RNases. This opens the way to large-scale structural and molecular investigations of RNA function.

Escherichia coli ribosomal protein L20 binds as a single monomer to its own mRNA bearing two potential binding sites

Ribosomal protein L20 is crucial for the assembly of the large ribosomal subunit and represses the translation of its own mRNA. L20 mRNA carries two L20-binding sites, the first folding into a pseudoknot and the second into an imperfect stem and loop. These two sites and the L20-binding site on 23S ribosomal RNA are recognized similarly using a single RNA-binding site located on one face of L20. In this work, using gel filtration and fluorescence cross-correlation spectroscopy (FCCS) experiments, we first exclude the possibility that L20 forms a dimer, which would allow each monomer to bind one site of the mRNA. Secondly we show, using affinity purification and FCCS experiments, that only one molecule of L20 binds to the L20 mRNA despite the presence of two potential binding sites. Thirdly, using RNA chemical probing, we show that the two L20-binding sites are in interaction. This interaction provides an explanation for the single occupancy of the mRNA. The two interacting sites could form a single hybrid site or the binding of L20 to a first site may inhibit binding to the second. Models of regulation compatible with our data are discussed.

The NMR structure of an internal loop from 23S ribosomal RNA differs from its structure in crystals of 50s ribosomal subunits

Internal loops play an important role in structure and folding of RNA and in recognition of RNA by other molecules such as proteins and ligands. An understanding of internal loops with propensities to form a particular structure will help predict RNA structure, recognition, and function. The structures of internal loops 5' 1009CUAAG1013 3'/3' 1168GAAGC1164 5' and 5' 998CUAAG1002 3'/3' 1157GAAGC1153 5' from helix 40 of the large subunit rRNA in Deinococcus radiodurans and Escherichia coli, respectively, are phylogenetically conserved, suggesting functional relevance. The energetics and NMR solution structure of the loop were determined in the duplex 5' 1GGCUAAGAC9 3'/3' 18CCGAAGCUG10 5'. The internal loop forms a different structure in solution and in the crystal structures of the ribosomal subunits. In particular, the crystal structures have a bulged out adenine at the equivalent of position A15 and a reverse Hoogsteen UA pair (trans Watson-Crick/Hoogsteen UA) at the equivalent of U4 and A14, whereas the solution structure has a single hydrogen bond UA pair (cis Watson-Crick/sugar edge A15U4) between U4 and A15 and a sheared AA pair (trans Hoogsteen/sugar edge A14A5) between A5 and A14. There is cross-strand stacking between A6 and A14 (A6/A14/A15 stacking pattern) in the NMR structure. All three structures have a sheared GA pair (trans Hoogsteen/sugar edge A6G13) at the equivalent of A6 and G13. The internal loop has contacts with ribosomal protein L20 and other parts of the RNA in the crystal structures. These contacts presumably provide the free energy to rearrange the base pairing in the loop. Evidently, molecular recognition of this internal loop involves induced fit binding, which could confer several advantages. The predicted thermodynamic stability of the loop agrees with the experimental value, even though the thermodynamic model assumes a Watson-Crick UA pair.

Ribosomal protein gene regulation: what about plants?

The ribosome is an intricate ribonucleoprotein complex with a multitude of protein constituents present in equimolar amounts. Coordination of the synthesis of these ribosomal proteins (r-proteins) presents a major challenge to the cell. Although most r-proteins are highly conserved, the mechanisms by which r-protein gene expression is regulated often differ widely among species. While the primary regulatory mechanisms coordinating r-protein synthesis in bacteria, yeast, and animals have been identified, the mechanisms governing the coordination of plant r-protein expression remain largely unexplored. In addition, plants are unique among eukaryotes in carrying multiple (often more than two) functional genes encoding each r-protein, which substantially complicates coordinate expression. A survey of the current knowledge regarding coordinated systems of r-protein gene expression in different model organisms suggests that vertebrate r-protein gene regulation provides a valuable comparison for plants.

Double molecular mimicry in Escherichia coli: binding of ribosomal protein L20 to its two sites in mRNA is similar to its binding to 23S rRNA

Escherichia coli ribosomal L20 is one of five proteins essential for the first reconstitution step of the 50S ribosomal subunit in vitro. It is purely an assembly protein, because it can be withdrawn from the mature subunit without effect on ribosome activity. In addition, L20 represses the translation of its own gene by binding to two sites in its mRNA. The first site is a pseudoknot formed by a base-pairing interaction between nucleotide sequences separated by more than 280 nucleotides, whereas the second site is an irregular helix formed by base-pairing between neighbouring nucleotide sequences. Despite these differences, the mRNA folds in such a way that both L20 binding sites share secondary structure similarity with the L20 binding site located at the junction between helices H40 and H41 in 23S rRNA. Using a set of genetic, biochemical, biophysical, and structural experiments, we show here that all three sites are recognized similarly by L20.

Detecting local structural similarity in proteins by maximizing number of equivalent residues

A new algorithm for superimposing protein structures based on maximizing the number of spatially equivalent residues is introduced. The algorithm works in three distinct steps. First, the optimal residue map is calculated by structural alignment. By default, the double dynamic programming algorithm, as implemented in the program ASH, was used for the structure alignment step, but we also present results based on alignments imported from three other programs (Dali, CE, and VAST).Second, the structures are spatially superimposed such that the effective number of equivalent residues (NER)--aligned residue pairs that can be spatially overlapped--is maximized. The NER score is an analytic, differentiable similarity function that rewards spatially equivalent residues but ignores non-equivalent ones. Maximization of the NER score results in accurate superpositions in cases where root mean square deviation (RMSD) minimization fails. Third, the NER function is used in conjunction with traditional dynamic programming to realign the structures based on the proximity of residues in the superposition. Results are presented for a wide range of superposition problems and compared to results from Dali, CE, and VAST. In addition, several structure-structure pairs that show only partial similarity are discussed, and results are compared to those from the LGA, SARF2, and ThreeCa programs.