Phenotypic suppression in Escherichia coli by chloramphenicol and other reversible inhibitors of the ribosome

Artificial intelligence-accelerated high-throughput screening of antibiotic combinations on a microfluidic combinatorial droplet system

Microfluidic platforms have been employed as an effective tool for drug screening and exhibit the advantages of lower reagent consumption, higher throughput and a higher degree of automation. Despite the great advancement, it remains challenging to screen complex antibiotic combinations in a simple, high-throughput and systematic manner. Meanwhile, the large amounts of datasets generated during the screening process generally outpace the abilities of the conventional manual or semi-automatic data analysis. To address these issues, we propose an artificial intelligence-accelerated high-throughput combinatorial drug evaluation system (AI-HTCDES), which not only allows high-throughput production of antibiotic combinations with varying concentrations, but can also automatically analyze the dynamic growth of bacteria under the action of different antibiotic combinations. Based on this system, several antibiotic combinations displaying an additive effect are discovered, and the dosage regimens of each component in the combinations are determined. This strategy not only provides useful guidance in the clinical use of antibiotic combination therapy and personalized medicine, but also offers a promising tool for the combinatorial screenings of other medicines.

Translation error clusters induced by aminoglycoside antibiotics

Aminoglycoside antibiotics target the ribosome and induce mistranslation, yet which translation errors induce bacterial cell death is unclear. The analysis of cellular proteins by quantitative mass spectrometry shows that bactericidal aminoglycosides induce not only single translation errors, but also clusters of errors in full-length proteins in vivo with as many as four amino acid substitutions in a row. The downstream errors in a cluster are up to 10,000-fold more frequent than the first error and independent of the intracellular aminoglycoside concentration. The prevalence, length, and composition of error clusters depends not only on the misreading propensity of a given aminoglycoside, but also on its ability to inhibit ribosome translocation along the mRNA. Error clusters constitute a distinct class of misreading events in vivo that may provide the predominant source of proteotoxic stress at low aminoglycoside concentration, which is particularly important for the autocatalytic uptake of the drugs.

Aminoglycoside antibiotics target the ribosome and induce misreading, yet which translation errors induce bacterial cell death is unclear. Here authors use quantitative mass spectrometry and show that bactericidal aminoglycosides induce clusters of errors in full-length proteins in vivo with as many as four amino acid substitutions in a row.

Structural Basis for the Decoding Mechanism

The bacterial ribosome is a complex macromolecular machine that deciphers the genetic code with remarkable fidelity. During the elongation phase of protein synthesis, the ribosome selects aminoacyl-tRNAs as dictated by the canonical base pairing between the anticodon of the tRNA and the codon of the messenger RNA. The ribosome's participation in tRNA selection is active rather than passive, using conformational changes of conserved bases of 16S rRNA to directly monitor the geometry of codon-anticodon base pairing. The tRNA selection process is divided into an initial selection step and a subsequent proofreading step, with the utilization of two sequential steps increasing the discriminating power of the ribosome far beyond that which could be achieved based on the thermodynamics of codon-anticodon base pairing stability. The accuracy of decoding is impaired by a number of antibiotics and can be either increased or decreased by various mutations in either subunit of the ribosome, in elongation factor Tu, and in tRNA. In this chapter we will review our current understanding of various forces that determine the accuracy of decoding by the bacterial ribosome.

Sensitivity and Resistance to Spectinomycin in Escherichia coli

Inhibition of growth and division of Escherichia coli by spectinomycin is reversible, and the kinetics of its interference with deoxyribonucleic and ribonucleic acid synthesis may be interpreted as secondary effects of inhibition of protein synthesis on the ribosome. Spontaneous mutations to spectinomycin resistance occur in E. coli K-12 at a rate of about 2 x 10(-10). Resistance is transducible with a discrete lag in phenotypic expression, and the kinetics of its development is about the same as that for streptomycin resistance. All spectinomycin-resistant mutants tested contain resistant ribosomes, and all map in a locus (spc) counterclockwise to and 70% cotransducible with the classical str locus. Differences in the residual drug sensitivity of various spectinomycin-resistant mutants, and of their ribosomes, indicate the existence of more than one phenotypic class of resistance.

The protein synthesis inhibitors, oxazolidinones and chloramphenicol, cause extensive translational inaccuracy in vivo

The oxazolidinone family is a new class of synthetic antibiotics that bind to the bacterial 50S ribosomal subunit. Two members of the family, linezolid and XA043, were examined for their effects on translational fidelity using a lacZ reporter gene in vivo. Both promoted highly significant frameshifting and nonsense suppression. Chloramphenicol, a peptidyl transferase inhibitor, affected translational fidelity in a similar fashion. Neither the oxazolidinones nor chloramphenicol stimulated misincorporation of amino acid residues at position 461 in the lacZ gene. In contrast, the aminoglycosides gentamicin and paromomycin, which interact with the decoding region of the 30S subunit, caused significant misincorporation but only modest increases in frameshifting or stop codon readthrough of the lacZ gene. We conclude that effects on translational fidelity may play a significant role in the mechanism of action of the oxazolidinones.

Ability of chloramphenicol to suppress phenotypically some bacterial mutations

Chloramphenicol (CLP) at slightly inhibitory concentrations (3-5 microgram/ml) suppresses the inhibition of DNA synthesis and cell division caused by the temperature sensitive mutation dnaE486 at the nonpermissive temperature. Some other mutations can also be phenotypically suppressed by CLP. A similar effect is shown by chlortetracycline. Phenotypic suppression is caused by both these drugs in different cases than by streptomycin.

Catabolie repression in inhibition of beta-galactosidase synthesis by Escherichia coli in the presence of agents producing translation errors

Studies were made of the synthesis of beta-galactosidase by Escherichia coli in the presence of 5-fluorouracil, streptomycin, and subinhibitory concentrations of chloramphenicol. The preferential inhibition of beta-galactosidase synthesis observed in the presence of the above drugs was found to be caused by catabolite repression.