Proteome-wide measurement of non-canonical bacterial mistranslation by quantitative mass spectrometry of protein modifications

Mechanisms and Delivery of tRNA Therapeutics

Transfer ribonucleic acid (tRNA) therapeutics will provide personalized and mutation specific medicines to treat human genetic diseases for which no cures currently exist. The tRNAs are a family of adaptor molecules that interpret the nucleic acid sequences in our genes into the amino acid sequences of proteins that dictate cell function. Humans encode more than 600 tRNA genes. Interestingly, even healthy individuals contain some mutant tRNAs that make mistakes. Missense suppressor tRNAs insert the wrong amino acid in proteins, and nonsense suppressor tRNAs read through premature stop signals to generate full length proteins. Mutations that underlie many human diseases, including neurodegenerative diseases, cancers, and diverse rare genetic disorders, result from missense or nonsense mutations. Thus, specific tRNA variants can be strategically deployed as therapeutic agents to correct genetic defects. We review the mechanisms of tRNA therapeutic activity, the nature of the therapeutic window for nonsense and missense suppression as well as wild-type tRNA supplementation. We discuss the challenges and promises of delivering tRNAs as synthetic RNAs or as gene therapies. Together, tRNA medicines will provide novel treatments for common and rare genetic diseases in humans.

Resilience and proteome response of Escherichia coli to high levels of isoleucine mistranslation

Accurate pairing of amino acids and tRNAs is a prerequisite for faithful translation of genetic information during protein biosynthesis. Here we present the effects of proteome-wide mistranslation of isoleucine (Ile) by canonical valine (Val) or non-proteinogenic norvaline (Nva) in a genetically engineered Escherichia coli strain with an editing-defective isoleucyl-tRNA synthetase (IleRS). Editing-defective IleRS efficiently mischarges both Val and Nva to tRNAIle and impairs the translational accuracy of Ile decoding. When mistranslation was induced by the addition of Val or Nva to the growth medium, an Ile-to-Val or Ile-to-Nva substitution of up to 20 % was measured by high-resolution mass spectrometry. This mistranslation level impaired bacterial growth, promoted the SOS response and filamentation during stationary phase, caused global proteome dysregulation and upregulation of the cellular apparatus for maintaining proteostasis, including the major chaperones (GroES/EL, DnaK/DnaJ/GrpE and HtpG), the disaggregase ClpB and the proteases (Lon, HslV/HslU, ClpA, ClpS). The most important consequence of mistranslation appears to be non-specific protein aggregation, which is effectively counteracted by the disaggregase ClpB. Our data show that E. coli can sustain high isoleucine mistranslation levels and remain viable despite excessive protein aggregation and severely impaired translational fidelity. However, we show that inaccurate translation lowers bacterial resilience to heat stress and decreases bacterial survival at elevated temperatures.

Phosphoproteome Dynamics of Streptomyces rimosus during Submerged Growth and Antibiotic Production

Streptomyces rimosus is an industrial streptomycete, best known as a producer of oxytetracycline, one of the most widely used antibiotics. Despite the significant contribution of Streptomyces species to the pharmaceutical industry, most omics analyses have only been conducted on the model organism Streptomyces coelicolor. In recent years, protein phosphorylation on serine, threonine, and tyrosine (Ser, Thr, and Tyr, respectively) has been shown to play a crucial role in the regulation of numerous cellular processes, including metabolic changes leading to antibiotic production and morphological changes. In this study, we performed a comprehensive quantitative (phospho)proteomic analysis during the growth of S. rimosus under conditions of oxytetracycline production and pellet fragmentation. Liquid chromatography-tandem mass spectrometry (LC-MS/MS) analysis combined with phosphopeptide enrichment detected a total of 3,725 proteins, corresponding to 45.6% of the proteome and 417 phosphorylation sites from 230 phosphoproteins. Significant changes in abundance during three distinct growth phases were determined for 494 proteins and 98 phosphorylation sites. Functional analysis revealed changes in phosphorylation events of proteins involved in important cellular processes, including regulatory mechanisms, primary and secondary metabolism, cell division, and stress response. About 80% of the phosphoproteins detected during submerged growth of S. rimosus have not yet been reported in streptomycetes, and 55 phosphoproteins were not reported in any prokaryote studied so far. This enabled the creation of a unique resource that provides novel insights into the dynamics of (phospho)proteins and reveals many potential regulatory events during antibiotic production in liquid culture of an industrially important bacterium. IMPORTANCE Streptomyces rimosus is best known as a primary source of oxytetracycline (OTC). The significant global market value of OTC highlights the need for a better understanding of the regulatory mechanisms that lead to production of this antibiotic. Our study provides, for the first time, a detailed insight into the dynamics of (phospho)proteomic profiles during growth and antibiotic production in liquid culture of S. rimosus. Significant changes in protein synthesis and phosphorylation have been revealed for a number of important cellular proteins during the growth stages that coincide with OTC production and morphological changes of this industrially important bacterium. Most of these proteins have not been detected in previous studies. Therefore, our results significantly expand the insight into phosphorylation events associated with important cellular processes and antibiotic production; they also greatly increase the phosphoproteome of streptomycetes and contribute with newly discovered phosphoproteins to the database of prokaryotic phosphoproteomes. This can consequently lead to the design of novel research directions in elucidation of the complex regulatory network in Streptomyces.

A pair of isoleucyl-tRNA synthetases in Bacilli fulfills complementary roles to keep fast translation and provide antibiotic resistance

Isoleucyl-tRNA synthetase (IleRS) is an essential enzyme that covalently couples isoleucine to the corresponding tRNA. Bacterial IleRSs group in two clades, ileS1 and ileS2, the latter bringing resistance to the natural antibiotic mupirocin. Generally, bacteria rely on either ileS1 or ileS2 as a standalone housekeeping gene. However, we have found an exception by noticing that Bacillus species with genomic ileS2 consistently also keep ileS1, which appears mandatory in the family Bacillaceae. Taking Priestia (Bacillus) megaterium as a model organism, we showed that PmIleRS1 is constitutively expressed, while PmIleRS2 is stress-induced. Both enzymes share the same level of the aminoacylation accuracy. Yet, PmIleRS1 exhibited a two-fold faster aminoacylation turnover (kcat ) than PmIleRS2 and permitted a notably faster cell-free translation. At the same time, PmIleRS2 displayed a 104 -fold increase in its Ki for mupirocin, arguing that the aminoacylation turnover in IleRS2 could have been traded-off for antibiotic resistance. As expected, a P. megaterium strain deleted for ileS2 was mupirocin-sensitive. Interestingly, an attempt to construct a mupirocin-resistant strain lacking ileS1, a solution not found among species of the family Bacillaceae in nature, led to a viable but compromised strain. Our data suggest that PmIleRS1 is kept to promote fast translation, whereas PmIleRS2 is maintained to provide antibiotic resistance when needed. This is consistent with an emerging picture in which fast-growing organisms predominantly use IleRS1 for competitive survival.

Ad hoc learning of peptide fragmentation from mass spectra enables an interpretable detection of phosphorylated and cross-linked peptides

Mass spectrometry-based proteomics provides a holistic snapshot of the entire protein set of living cells on a molecular level. Currently, only a few deep learning approaches exist that involve peptide fragmentation spectra, which represent partial sequence information of proteins. Commonly, these approaches lack the ability to characterize less studied or even unknown patterns in spectra because of their use of explicit domain knowledge. Here, to elevate unrestricted learning from spectra, we introduce ‘ad hoc learning of fragmentation’ (AHLF), a deep learning model that is end-to-end trained on 19.2 million spectra from several phosphoproteomic datasets. AHLF is interpretable, and we show that peak-level feature importance values and pairwise interactions between peaks are in line with corresponding peptide fragments. We demonstrate our approach by detecting post-translational modifications, specifically protein phosphorylation based on only the fragmentation spectrum without a database search. AHLF increases the area under the receiver operating characteristic curve (AUC) by an average of 9.4% on recent phosphoproteomic data compared with the current state of the art on this task. Furthermore, use of AHLF in rescoring search results increases the number of phosphopeptide identifications by a margin of up to 15.1% at a constant false discovery rate. To show the broad applicability of AHLF, we use transfer learning to also detect cross-linked peptides, as used in protein structure analysis, with an AUC of up to 94%.

A novel fluorescent reporter sensitive to serine mis-incorporation

High-fidelity translation was considered a requirement for living cells. The frozen accident theory suggested that any deviation from the standard genetic code should result in the production of so much mis-made and non-functional proteins that cells cannot remain viable. Studies in bacterial, yeast, and mammalian cells show that significant levels of mistranslation (1–10% per codon) can be tolerated or even beneficial under conditions of oxidative stress. Single tRNA mutants, which occur naturally in the human population, can lead to amino acid mis-incorporation at a codon or set of codons. The rate or level of mistranslation can be difficult or impossible to measure in live cells. We developed a novel red fluorescent protein reporter that is sensitive to serine (Ser) mis-incorporation at proline (Pro) codons. The mCherry Ser151Pro mutant is efficiently produced in Escherichia coli but non-fluorescent. We demonstrated in cells and with purified mCherry protein that the fluorescence of mCherry Ser151Pro is rescued by two different tRNA^Ser gene variants that were mutated to contain the Pro (UGG) anticodon. Ser mis-incorporation was confirmed by mass spectrometry. Remarkably, E. coli tolerated mistranslation rates of ~10% per codon with negligible reduction in growth rate. Conformational sampling simulations revealed that the Ser151Pro mutant leads to significant changes in the conformational freedom of the chromophore precursor, which is indicative of a defect in chromophore maturation. Together our data suggest that the mCherry Ser151 mutants may be used to report Ser mis-incorporation at multiple other codons, further expanding the ability to measure mistranslation in living cells.

Misincorporation Proteomics Technologies: A Review

Proteinopathies are diseases caused by factors that affect proteoform conformation. As such, a prevalent hypothesis is that the misincorporation of noncanonical amino acids into a proteoform results in detrimental structures. However, this hypothesis is missing proteomic evidence, specifically the detection of a noncanonical amino acid in a peptide sequence. This review aims to outline the current state of technology that can be used to investigate mistranslations and misincorporations whilst framing the pursuit as Misincorporation Proteomics (MiP). The current availability of technologies explored herein is mass spectrometry, sample enrichment/preparation, data analysis techniques, and the hyphenation of approaches. While many of these technologies show potential, our review reveals a need for further development and refinement of approaches is still required.

Quantitative Proteomics Reveals UGA-Independent Misincorporation of Selenocysteine throughout the Escherichia coli Proteome

Selenocysteine is cotranslationally inserted into polypeptide chains by recoding the stop codon UGA. However, selenocysteine has also been found to be misincorporated into a small number of proteins displacing cysteines in previous studies, but such misincorporation has not yet been examined at the proteome level thoroughly. We performed label-free quantitative proteomics analysis on Escherichia coli grown in a high-selenium medium to obtain a fuller picture of selenocysteine misincorporation in its proteome. We found 139 misincorporation sites, including 54 recurred in all biological replicates, suggesting that some cysteine sites are more prone to be misincorporated than others. However, sequence and evolutionary conservation analysis showed no clear pattern among these misincorporation sites. We hypothesize that misincorporations occur randomly throughout the proteome, but the degradation rate of such misincorporated proteins varies depending on the impact of the misincorporation on protein function and stability, leading to the differential detectability of misincorporated sites by proteomics. Our hypothesis is further supported by two observations: (1) cells cultured with severely limited sulfur still retained a substantial proportion of normal cysteine counterparts of all of the found misincorporated proteins and (2) proteins involved in protein folding and proteolysis were highly upregulated in high-selenium culture.

Discovery of Gut Bacteria Specific to Alzheimer's Associated Diseases is a Clue to Understanding Disease Etiology: Meta-Analysis of Population-Based Data on Human Gut Metagenomics and Metabolomics

Alzheimer's disease (AD)-associated sequence (ADAS) of cultured fecal bacteria was discovered in human gut targeted screening. This study provides important information to expand our current understanding of the structure/activity relationship of ADAS and putative inhibitors/activators that are potentially involved in ADAS appearance/disappearance. The NCBI database analysis revealed that ADAS presents at a large proportion in American Indian Oklahoman (C&A) with a high prevalence of obesity/diabetes and in colorectal cancer (CRC) patients from the US and China. An Oklahoman non-native group (NNI) showed no ADAS. Comparison of two large US populations reveals that ADAS is more frequent in individuals aged ≥66 and in females. Prevalence and levels of fecal metabolites are altered in the C&A and CRC groups versus controls. Biogenic amines (histamine, tryptamine, tyramine, phenylethylamine, cadaverine, putrescine, agmatine, spermidine) that present in food and are produced by gut microbiota are significantly higher in C&A (e.g., histamine/histidine 95-fold) versus NNI (histamine/histidine 16-fold). The majority of these bio-amines are cytotoxic at concentrations found in food. Inositol phosphate signaling implicated in AD is altered in C&A and CRC. Tryptamine stimulated accumulation of inositol phosphate. The seizure-eliciting tryptamine induced cytoplasmic vacuolization and vesiculation with cell fragmentation. Present additions of ADAS-carriers at different ages including infants led to an ADAS-comprising human sample size of 2,830 from 27 studies from four continents (North America, Australia, Asia, Europe). Levels of food-derived monoamine oxidase inhibitors and anti-bacterial compounds, the potential modulators of ADAS-bacteria growth and biogenic amine production, were altered in C&A versus NNI. ADAS is attributable to potentially modifiable risk factors of AD associated diseases.

Open Database Searching Enables the Identification and Comparison of Bacterial Glycoproteomes without Defining Glycan Compositions Prior to Searching

Mass spectrometry has become an indispensable tool for the characterization of glycosylation across biological systems. Our ability to generate rich fragmentation of glycopeptides has dramatically improved over the last decade yet our informatic approaches still lag behind. Although glycoproteomic informatics approaches using glycan databases have attracted considerable attention, database independent approaches have not. This has significantly limited high throughput studies of unusual or atypical glycosylation events such as those observed in bacteria. As such, computational approaches to examine bacterial glycosylation and identify chemically diverse glycans are desperately needed. Here we describe the use of wide-tolerance (up to 2000 Da) open searching as a means to rapidly examine bacterial glycoproteomes. We benchmarked this approach using N-linked glycopeptides of Campylobacter fetus subsp. fetus as well as O-linked glycopeptides of Acinetobacter baumannii and Burkholderia cenocepacia revealing glycopeptides modified with a range of glycans can be readily identified without defining the glycan masses before database searching. Using this approach, we demonstrate how wide tolerance searching can be used to compare glycan use across bacterial species by examining the glycoproteomes of eight Burkholderia species (B. pseudomallei; B. multivorans; B. dolosa; B. humptydooensis; B. ubonensis, B. anthina; B. diffusa; B. pseudomultivorans). Finally, we demonstrate how open searching enables the identification of low frequency glycoforms based on shared modified peptides sequences. Combined, these results show that open searching is a robust computational approach for the determination of glycan diversity within bacterial proteomes.

Open Database Searching Enables the Identification and Comparison of Bacterial Glycoproteomes without Defining Glycan Compositions Prior to Searching

Mass spectrometry has become an indispensable tool for the characterization of glycosylation across biological systems. Our ability to generate rich fragmentation of glycopeptides has dramatically improved over the last decade yet our informatic approaches still lag behind. Although glycoproteomic informatics approaches using glycan databases have attracted considerable attention, database independent approaches have not. This has significantly limited high throughput studies of unusual or atypical glycosylation events such as those observed in bacteria. As such, computational approaches to examine bacterial glycosylation and identify chemically diverse glycans are desperately needed. Here we describe the use of wide-tolerance (up to 2000 Da) open searching as a means to rapidly examine bacterial glycoproteomes. We benchmarked this approach using N-linked glycopeptides of Campylobacter fetus subsp. fetus as well as O-linked glycopeptides of Acinetobacter baumannii and Burkholderia cenocepacia revealing glycopeptides modified with a range of glycans can be readily identified without defining the glycan masses before database searching. Using this approach, we demonstrate how wide tolerance searching can be used to compare glycan use across bacterial species by examining the glycoproteomes of eight Burkholderia species (B. pseudomallei; B. multivorans; B. dolosa; B. humptydooensis; B. ubonensis, B. anthina; B. diffusa; B. pseudomultivorans). Finally, we demonstrate how open searching enables the identification of low frequency glycoforms based on shared modified peptides sequences. Combined, these results show that open searching is a robust computational approach for the determination of glycan diversity within bacterial proteomes.

Exploiting evolutionary trade-offs for posttreatment management of drug-resistant populations

Antibiotic resistance frequently evolves through fitness trade-offs in which the genetic alterations that confer resistance to a drug can also cause growth defects in resistant cells. Here, through experimental evolution in a microfluidics-based turbidostat, we demonstrate that antibiotic-resistant cells can be efficiently inhibited by amplifying the fitness costs associated with drug-resistance evolution. Using tavaborole-resistant Escherichia coli as a model, we show that genetic mutations in leucyl-tRNA synthetase (that underlie tavaborole resistance) make resistant cells intolerant to norvaline, a chemical analog of leucine that is mistakenly used by tavaborole-resistant cells for protein synthesis. We then show that tavaborole-sensitive cells quickly outcompete tavaborole-resistant cells in the presence of norvaline due to the amplified cost of the molecular defect of tavaborole resistance. This finding illustrates that understanding molecular mechanisms of drug resistance allows us to effectively amplify even small evolutionary vulnerabilities of resistant cells to potentially enhance or enable adaptive therapies by accelerating posttreatment competition between resistant and susceptible cells.

Visualisation tools for dependent peptide searches to support the exploration of in vitro protein modifications

Dependent peptide searching is a method for discovering covalently-modified peptides-and therefore proteins-in mass-spectrometry-based proteomics experiments. Being more permissive than standard search methods, it has the potential to discover novel modifications (e.g., post-translational modifications occurring in vivo, or modifications introduced in vitro). However, few studies have explored dependent peptide search results in an untargeted way. In the present study, we sought to evaluate dependent peptide searching as a means of characterising proteins that have been modified in vitro. We generated a model data set by analysing N-ethylmaleimide-treated bovine serum albumin, and performed dependent peptide searches using the popular MaxQuant software. To facilitate interpretation of the search results (hundreds of dependent peptides), we developed a series of visualisation tools (R scripts). We used the tools to assess the diversity of putative modifications in the albumin, and to pinpoint hypothesised modifications. We went on to explore the tools' generality via analyses of public data from studies of rat and human proteomes. Of 19 expected sites of modification (one in rat cofilin-1 and 18 across six different human plasma proteins), eight were found and correctly localised. Apparently, some sites went undetected because chemical enrichment had depleted necessary analytes (potential 'base' peptides). Our results demonstrate (i) the ability of the tools to provide accurate and informative visualisations, and (ii) the usefulness of dependent peptide searching for characterising in vitro protein modifications. Our model data are available via PRIDE/ProteomeXchange (accession number PXD013040).

How evolution shapes enzyme selectivity - lessons from aminoacyl-tRNA synthetases and other amino acid utilizing enzymes

Aminoacyl-tRNA synthetases (AARSs) charge tRNA with their cognate amino acids. Many other enzymes use amino acids as substrates, yet discrimination against noncognate amino acids that threaten the accuracy of protein translation is a hallmark of AARSs. Comparing AARSs to these other enzymes allowed us to recognize patterns in molecular recognition and strategies used by evolution for exercising selectivity. Overall, AARSs are 2-3 orders of magnitude more selective than most other amino acid utilizing enzymes. AARSs also reveal the physicochemical limits of molecular discrimination. For example, amino acids smaller by a single methyl moiety present a discrimination ceiling of ~200, while larger ones can be discriminated by up to 10⁵ -fold. In contrast, substrates larger by a hydroxyl group challenge AARS selectivity, due to promiscuous H-bonding with polar active site groups. This 'hydroxyl paradox' is resolved by editing. Indeed, when the physicochemical discrimination limits are reached, post-transfer editing - hydrolysis of tRNAs charged with noncognate amino acids, evolved. The editing site often selectively recognizes the edited noncognate substrate using the very same feature that the synthetic site could not efficiently discriminate against. Finally, the comparison to other enzymes also reveals that the selectivity of AARSs is an explicitly evolved trait, showing some clear examples of how selection acted not only to optimize catalytic efficiency with the target substrate, but also to abolish activity with noncognate threat substrates ('negative selection').

Broad range of missense error frequencies in cellular proteins

Assessment of the fidelity of gene expression is crucial to understand cell homeostasis. Here we present a highly sensitive method for the systematic Quantification of Rare Amino acid Substitutions (QRAS) using absolute quantification by targeted mass spectrometry after chromatographic enrichment of peptides with missense amino acid substitutions. By analyzing incorporation of near- and non-cognate amino acids in a model protein EF-Tu, we show that most of missense errors are too rare to detect by conventional methods, such as DDA, and are estimated to be between <10⁻⁷–10^-5 by QRAS. We also observe error hotspots of up to 10⁻³ for some types of mismatches, including the G-U mismatch. The error frequency depends on the expression level of EF-Tu and, surprisingly, the amino acid position in the protein. QRAS is not restricted to any particular miscoding event, organism, strain or model protein and is a reliable tool to analyze very rare proteogenomic events.

On the Mechanism and Origin of Isoleucyl-tRNA Synthetase Editing against Norvaline

Aminoacyl-tRNA synthetases (aaRSs), the enzymes responsible for coupling tRNAs to their cognate amino acids, minimize translational errors by intrinsic hydrolytic editing. Here, we compared norvaline (Nva), a linear amino acid not coded for protein synthesis, to the proteinogenic, branched valine (Val) in their propensity to mistranslate isoleucine (Ile) in proteins. We show that in the synthetic site of isoleucyl-tRNA synthetase (IleRS), Nva and Val are activated and transferred to tRNA at similar rates. The efficiency of the synthetic site in pre-transfer editing of Nva and Val also appears to be similar. Post-transfer editing was, however, more rapid with Nva and consequently IleRS misaminoacylates Nva-tRNA^Ile at slower rate than Val-tRNA^Ile. Accordingly, an Escherichia coli strain lacking IleRS post-transfer editing misincorporated Nva and Val in the proteome to a similar extent and at the same Ile positions. However, Nva mistranslation inflicted higher toxicity than Val, in agreement with IleRS editing being optimized for hydrolysis of Nva-tRNA^Ile. Furthermore, we found that the evolutionary-related IleRS, leucyl- and valyl-tRNA synthetases (I/L/VRSs), all efficiently hydrolyze Nva-tRNAs even when editing of Nva seems redundant. We thus hypothesize that editing of Nva-tRNAs had already existed in the last common ancestor of I/L/VRSs, and that the editing domain of I/L/VRSs had primarily evolved to prevent infiltration of Nva into modern proteins.

Loss of protein synthesis quality control in host-restricted organisms

Intracellular organisms, such as obligate parasites and endosymbionts, typically possess small genomes due to continuous genome decay caused by an environment with alleviated natural selection. Previously, a few species with highly reduced genomes, including the intracellular pathogens Mycoplasma and Microsporidia, have been shown to carry degenerated editing domains in aminoacyl-tRNA synthetases. These defects in the protein synthesis machinery cause inaccurate translation of the genetic code, resulting in significant statistical errors in protein sequences that are thought to help parasites to escape immune response of a host. In this study we analyzed 10,423 complete bacterial genomes to assess conservation of the editing domains in tRNA synthetases, including LeuRS, IleRS, ValRS, ThrRS, AlaRS, and PheRS. We found that, while the editing domains remain intact in free-living species, they are degenerated in the overwhelming majority of host-restricted bacteria. Our work illustrates that massive genome erosion triggered by an intracellular lifestyle eradicates one of the most fundamental components of a living cell: the system responsible for proofreading of amino acid selection for protein synthesis. This finding suggests that inaccurate translation of the genetic code might be a general phenomenon among intercellular organisms with reduced genomes.

The kinases HipA and HipA7 phosphorylate different substrate pools in Escherichia coli to promote multidrug tolerance

Differences in the targets of HipA and its variant HipA7 may explain why these kinases have different effects on bacterial persistence.

Metabolite–Enzyme Coevolution: From Single Enzymes to Metabolic Pathways and Networks

How individual enzymes evolved is relatively well understood. However, individual enzymes rarely confer a physiological advantage on their own. Judging by its current state, the emergence of metabolism seemingly demanded the simultaneous emergence of many enzymes. Indeed, how multicomponent interlocked systems, like metabolic pathways, evolved is largely an open question. This complexity can be unlocked if we assume that survival of the fittest applies not only to genes and enzymes but also to the metabolites they produce. This review develops our current knowledge of enzyme evolution into a wider hypothesis of pathway and network evolution. We describe the current models for pathway evolution and offer an integrative metabolite–enzyme coevolution hypothesis. Our hypothesis addresses the origins of new metabolites and of new enzymes and the order of their recruitment. We aim to not only survey established knowledge but also present open questions and potential ways of addressing them.

Synthesis of non-canonical branched-chain amino acids in Escherichia coli and approaches to avoid their incorporation into recombinant proteins

In E. coli the non-canonical amino acids acids norvaline, norleucine, and β-methylnorleucine, which derive from an off-pathway of the branched-chain amino acid synthesis route are synthesized and incorporated into cellular and recombinant proteins. The synthesis of these amino acids is supported by a high flux of glucose through the glycolytic pathway in combination with a derepression of the enzymes of the branched chain amino acid pathway, for example, when leucine-rich proteins are produced. Avoiding the synthesis and misincorporation of these amino acids has been challenging, especially in large-scale pharmaceutical processes where the problem is boosted by the typical fed-batch production and the technical limitation of mass transfer in the bioreactors. Despite its industrial importance, so far this issue has not been discussed comprehensively. Therefore this paper reviews, firstly, the specific pathway of the non-canonical branched chain amino acids starting at pyruvate, secondly, the molecular factors for their misincorporation, and thirdly, approaches to avoid this misincoporation. While the synthesis of these amino acids is difficult to prevent due to the broad promiscuity of the connected enzymes, recent studies on the control mechanisms of aminoacyl tRNA synthetases open new opportunities to avoid this misincorporation.

mRNA Translation Gone Awry: Translation Fidelity and Neurological Disease

Errors during mRNA translation can lead to a reduction in the levels of functional proteins and an increase in deleterious molecules. Advances in next-generation sequencing have led to the discovery of rare genetic disorders, many caused by mutations in genes encoding the mRNA translation machinery, as well as to a better understanding of translational dynamics through ribosome profiling. We discuss here multiple neurological disorders that are linked to errors in tRNA aminoacylation and ribosome decoding. We draw on studies from genetic models, including yeast and mice, to enhance our understanding of the translational defects observed in these diseases. Finally, we emphasize the importance of tRNA, their associated enzymes, and the inextricable link between accuracy and efficiency in the maintenance of translational fidelity.

Self-protective responses to norvaline-induced stress in a leucyl-tRNA synthetase editing-deficient yeast strain

The editing function of aminoacyl-tRNA synthetases (aaRSs) is indispensible for formation of the correct aminoacyl-tRNAs. Editing deficiency may lead to growth inhibition and the pathogenesis of various diseases. Herein, we confirmed that norvaline (Nva) but not isoleucine or valine is the major threat to the editing function of Saccharomyces cerevisiae leucyl-tRNA synthetase (ScLeuRS), both in vitro and in vivo. Nva could be misincorporated into the proteome of the LeuRS editing-deficient yeast strain (D419A/ScΔleuS), potentially resulting in dysfunctional protein folding and growth delay. Furthermore, the exploration of the Nva-induced intracellular stress response mechanism in D419A/ScΔleuS revealed that Hsp70 chaperones were markedly upregulated in response to the potential protein misfolding. Additionally, proline (Pro), glutamate (Glu) and glutamine (Gln), which may accumulate due to the conversion of Nva, collectively contributed to the reduction of reactive oxygen species (ROS) levels in Nva-treated D419A/ScΔleuS cells. In conclusion, our study highlights the significance of the editing function of LeuRS and provides clues for understanding the intracellular stress protective mechanisms that are triggered in aaRS editing-deficient organisms.

Mistranslation: from adaptations to applications

BACKGROUND

The conservation of the genetic code indicates that there was a single origin, but like all genetic material, the cell's interpretation of the code is subject to evolutionary pressure. Single nucleotide variations in tRNA sequences can modulate codon assignments by altering codon-anticodon pairing or tRNA charging. Either can increase translation errors and even change the code. The frozen accident hypothesis argued that changes to the code would destabilize the proteome and reduce fitness. In studies of model organisms, mistranslation often acts as an adaptive response. These studies reveal evolutionary conserved mechanisms to maintain proteostasis even during high rates of mistranslation.

SCOPE OF REVIEW

This review discusses the evolutionary basis of altered genetic codes, how mistranslation is identified, and how deviations to the genetic code are exploited. We revisit early discoveries of genetic code deviations and provide examples of adaptive mistranslation events in nature. Lastly, we highlight innovations in synthetic biology to expand the genetic code.

MAJOR CONCLUSIONS

The genetic code is still evolving. Mistranslation increases proteomic diversity that enables cells to survive stress conditions or suppress a deleterious allele. Genetic code variants have been identified by genome and metagenome sequence analyses, suppressor genetics, and biochemical characterization.

GENERAL SIGNIFICANCE

Understanding the mechanisms of translation and genetic code deviations enables the design of new codes to produce novel proteins. Engineering the translation machinery and expanding the genetic code to incorporate non-canonical amino acids are valuable tools in synthetic biology that are impacting biomedical research. This article is part of a Special Issue entitled "Biochemistry of Synthetic Biology - Recent Developments" Guest Editor: Dr. Ilka Heinemann and Dr. Patrick O'Donoghue.

Discovery and Investigation of Natural Editing Function against Artificial Amino Acids in Protein Translation

Fluorine being not substantially present in the chemistry of living beings is an attractive element in tailoring novel chemical, biophysical, and pharmacokinetic properties of peptides and proteins. The hallmark of ribosome-mediated artificial amino acid incorporation into peptides and proteins is a broad substrate tolerance, which is assumed to rely on the absence of evolutionary pressure for efficient editing of artificial amino acids. We used the well-characterized editing proficient isoleucyl-tRNA synthetase (IleRS) from Escherichia coli to investigate the crosstalk of aminoacylation and editing activities against fluorinated amino acids. We show that translation of trifluoroethylglycine (TfeGly) into proteins is prevented by hydrolysis of TfeGly-tRNAIle in the IleRS post-transfer editing domain. The remarkable observation is that dissociation of TfeGly-tRNAIle from IleRS is significantly slowed down. This finding is in sharp contrast to natural editing reactions by tRNA synthetases wherein fast editing rates for the noncognate substrates are essential to outcompete fast aa-tRNA dissociation rates. Using a post-transfer editing deficient mutant of IleRS (IleRSAla10), we were able to achieve ribosomal incorporation of TfeGly in vivo. Our work expands the knowledge of ribosome-mediated artificial amino acid translation with detailed analysis of natural editing function against an artificial amino acid providing an impulse for further systematic investigations and engineering of the translation and editing of unusual amino acids.

MS-READ: Quantitative measurement of amino acid incorporation

Ribosomal protein synthesis results in the genetically programmed incorporation of amino acids into a growing polypeptide chain. Faithful amino acid incorporation that accurately reflects the genetic code is critical to the structure and function of proteins as well as overall proteome integrity. Errors in protein synthesis are generally detrimental to cellular processes yet emerging evidence suggest that proteome diversity generated through mistranslation may be beneficial under certain conditions. Cumulative translational error rates have been determined at the organismal level, however codon specific error rates and the spectrum of misincorporation errors from system to system remain largely unexplored. In particular, until recently technical challenges have limited the ability to detect and quantify comparatively rare amino acid misincorporation events, which occur orders of magnitude less frequently than canonical amino acid incorporation events. We now describe a technique for the quantitative analysis of amino acid incorporation that provides the sensitivity necessary to detect mistranslation events during translation of a single codon at frequencies as low as 1 in 10,000 for all 20 proteinogenic amino acids, as well as non-proteinogenic and modified amino acids. This article is part of a Special Issue entitled "Biochemistry of Synthetic Biology - Recent Developments" Guest Editor: Dr. Ilka Heinemann and Dr. Patrick O'Donoghue.

Mass spectrometric identification of phenol-soluble modulins in the ATCC® 43300 standard strain of methicillin-resistant Staphylococcus aureus harboring two distinct phenotypes

Staphylococcus aureus subsp. aureus Rosenbach (ATCC® 43300™) is a representative methicillin-resistant S. aureus (MRSA) strain that is used as a quality control strain for testing the methicillin susceptibility of clinical isolates. It has been consistently observed that colonies with two different colors (golden yellow and white) grow from the ATCC stock on blood agar plates. In this study, staphylococcal peptide and protein profiling was performed using matrix-assisted laser desorption/ionization time-of-flight (MALDI-TOF) mass spectrometry. From the extract of the potentially hemolytic 43300 strain, we identified a single significant peak at an observed mass-to-charge (m/z) value of 2306.9, which correlates well with the predicted mass of formylated phenol-soluble modulin α2, a major staphylococcal virulence factor. Subsequent liquid chromatography-tandem mass spectrometry (LC-MS/MS) analysis revealed that the hemolytic 43300 cells predominantly produced various phenol-soluble modulins (PSMs) and their export proteins, including four α type PSM peptides, PSMβ1, PSM-mec, PmtC and PmtD. However, none of the PSM peptides was detected in the presumably non-hemolytic 43300 strain, but the export proteins PmtC and PmtD. We found that this MRSA standard strain expresses two distinct phenotypes and that their phenotypic features are more likely associated with PSM toxin production. Therefore, careful attention is needed when MRSA reference strains are utilized for the diagnosis and susceptibility testing of MRSA in clinical settings.

Synthetic and editing reactions of aminoacyl-tRNA synthetases using cognate and non-cognate amino acid substrates

The covalent coupling of cognate amino acid-tRNA pairs by corresponding aminoacyl-tRNA synthetases (aaRS) defines the genetic code and provides aminoacylated tRNAs for ribosomal protein synthesis. Besides the cognate substrate, some non-cognate amino acids may also compete for tRNA aminoacylation. However, their participation in protein synthesis is generally prevented by an aaRS proofreading activity located in the synthetic site and in a separate editing domain. These mechanisms, coupled with the ability of certain aaRSs to discriminate well against non-cognate amino acids in the synthetic reaction alone, define the accuracy of the aminoacylation reaction. aaRS quality control may also act as a gatekeeper for the standard genetic code and prevents infiltration by natural amino acids that are not normally coded for protein biosynthesis. This latter finding has reinforced interest in understanding the principles that govern discrimination against a range of potential non-cognate amino acids. This paper presents an overview of the kinetic assays that have been established for monitoring synthetic and editing reactions with cognate and non-cognate amino acid substrates. Taking into account the peculiarities of non-cognate reactions, the specific controls needed and the dedicated experimental designs are discussed in detail. Kinetic partitioning within the synthetic and editing sites controls the balance between editing and aminoacylation. We describe in detail steady-state and single-turnover approaches for the analysis of synthetic and editing reactions, which ultimately enable mechanisms of amino acid discrimination to be determined.