Antibiotic-induced ribosomal assembly defects result from changes in the synthesis of ribosomal proteins.

Inhibitors of protein synthesis cause defects in the assembly of ribosomal subunits. In response to treatment with the antibiotics erythromycin or chloramphenicol, precursors of both large and small ribosomal subunits accumulate. We have used a pulse-labelling approach to demonstrate that the accumulating subribosomal particles maturate into functional 70S ribosomes. The protein content of the precursor particles is heterogeneous and does not correspond with known assembly intermediates. Mass spectrometry indicates that production of ribosomal proteins in the presence of the antibiotics correlates with the amounts of the individual ribosomal proteins within the precursor particles. Thus, treatment of cells with chloramphenicol or erythromycin leads to an unbalanced synthesis of ribosomal proteins, providing the explanation for formation of assembly-defective particles. The operons for ribosomal proteins show a characteristic pattern of antibiotic inhibition where synthesis of the first proteins is inhibited weakly but gradually increases for the subsequent proteins in the operon. This phenomenon most likely reflects translational coupling and allows us to identify other putative coupled non-ribosomal operons in the Escherichia coli chromosome.

Preferred and avoided codon pairs in three domains of life.

BACKGROUND: Alternative synonymous codons are not used with equal frequencies. In addition, the contexts of codons - neighboring nucleotides and neighboring codons - can have certain patterns. The codon context can influence both translational accuracy and elongation rates. However, it is not known how strong or conserved the codon context preferences in different organisms are. We analyzed 138 organisms (bacteria, archaea and eukaryotes) to find conserved patterns of codon pairs. RESULTS: After removing the effects of single codon usage and dipeptide biases we discovered a set of neighboring codons for which avoidances or preferences were conserved in all three domains of life. Such biased codon pairs could be divided into subtypes on the basis of the nucleotide patterns that influence the bias. The most frequently avoided type of codon pair was nnUAnn. We discovered that 95.7% of avoided nnUAnn type patterns contain out-frame UAA or UAG triplets on the sense and/or antisense strand. On average, nnUAnn codon pairs are more frequently avoided in ORFeomes than in genomes. Thus we assume that translational selection plays a major role in the avoidance of these codon pairs. Among the preferred codon pairs, nnGCnn was the major type. CONCLUSION: Translational selection shapes codon pair usage in protein coding sequences by rules that are common to all three domains of life. The most frequently avoided codon pairs contain the patterns nnUAnn, nnGGnn, nnGnnC, nnCGCn, GUCCnn, CUCCnn, nnCnnA or UUCGnn. The most frequently preferred codon pairs contain the patterns nnGCnn, nnCAnn or nnUnCn.

Translation initiation region sequence preferences in Escherichia coli.

BACKGROUND: The mRNA translation initiation region (TIR) comprises the initiator codon, Shine-Dalgarno (SD) sequence and translational enhancers. Probably the most abundant class of enhancers contains A/U-rich sequences. We have tested the influence of SD sequence length and the presence of enhancers on the efficiency of translation initiation. RESULTS: We found that during bacterial growth at 37 degrees C, a six-nucleotide SD (AGGAGG) is more efficient than shorter or longer sequences. The A/U-rich enhancer contributes strongly to the efficiency of initiation, having the greatest stimulatory effect in the exponential growth phase of the bacteria. The SD sequences and the A/U-rich enhancer stimulate translation co-operatively: strong SDs are stimulated by the enhancer much more than weak SDs. The bacterial growth rate does not have a major influence on the TIR selection pattern. On the other hand, temperature affects the TIR preference pattern: shorter SD sequences are preferred at lower growth temperatures. We also performed an in silico analysis of the TIRs in all E. coli mRNAs. The base pairing potential of the SD sequences does not correlate with the codon adaptation index, which is used as an estimate of gene expression level. CONCLUSION: In E. coli the SD selection preferences are influenced by the growth temperature and not influenced by the growth rate. The A/U rich enhancers stimulate translation considerably by acting co-operatively with the SD sequences.

Highly expressed proteins have an increased frequency of alanine in the second amino acid position.

BACKGROUND: Although the sequence requirements for translation initiation regions have been frequently analysed, usually the highly expressed genes are not treated as a separate dataset. RESULTS: To investigate this, we analysed the mRNA regions downstream of initiation codons in nine bacteria, three archaea and three unicellular eukaryotes, comparing the dataset of highly expressed genes to the dataset of all genes. In addition to the detailed analysis of the nucleotide and codon frequencies we compared the N-termini of highly expressed proteins to the N-termini of all proteins coded in the genome. CONCLUSION: The most conserved pattern was observed at the amino acid level: strong alanine over-representation was observed at the second amino acid position of highly expressed proteins. This pattern is well conserved in all three domains of life.