Negative in vitro selection identifies the rRNA recognition motif for ErmE methyltransferase

Molecular dynamics simulations suggest why the A2058G mutation in 23S RNA results in bacterial resistance against clindamycin

Clindamycin, a lincosamide antibiotic, binds to 23S ribosomal RNA and inhibits protein synthesis. The A2058G mutation in 23S RNA results in bacterial resistance to clindamycin. To understand the influence of this mutation on short-range interactions of clindamycin with 23S RNA, we carried out full-atom molecular dynamics simulations of a ribosome fragment containing clindamycin binding site. We compared the dynamical behavior of this fragment simulated with and without the A2058G mutation. Molecular dynamics simulations suggest that clindamycin in the native ribosomal binding site is more internally flexible than in the A2058G mutant. Only in the native ribosome fragment did we observe intramolecular conformational change of clindamycin around its C7-N1-C10-C11 dihedral. In the mutant, G2058 makes more stable hydrogen bonds with clindamycin hindering its conformational freedom in the ribosome-bound state. Clindamycin binding site is located in the entrance to the tunnel through which the newly synthesized polypeptide leaves the ribosome. We observed that in the native ribosome fragment, clindamycin blocks the passage in the tunnel entrance, whereas in the mutated fragment the aperture is undisturbed due to a different mode of binding of clindamycin in the mutant. Restricted conformational freedom of clindamycin in a position not blocking the tunnel entrance in the A2058G mutant could explain the molecular mechanism of bacterial resistance against clindamycin occurring in this mutant.

Impact of ribosomal modification on the binding of the antibiotic telithromycin using a combined grand canonical monte carlo/molecular dynamics simulation approach

Resistance to macrolide antibiotics is conferred by mutation of A2058 to G or methylation by Erm methyltransferases of the exocyclic N6 of A2058 (E. coli numbering) that forms the macrolide binding site in the 50S subunit of the ribosome. Ketolides such as telithromycin mitigate A2058G resistance yet remain susceptible to Erm-based resistance. Molecular details associated with macrolide resistance due to the A2058G mutation and methylation at N6 of A2058 by Erm methyltransferases were investigated using empirical force field-based simulations. To address the buried nature of the macrolide binding site, the number of waters within the pocket was allowed to fluctuate via the use of a Grand Canonical Monte Carlo (GCMC) methodology. The GCMC water insertion/deletion steps were alternated with Molecular Dynamics (MD) simulations to allow for relaxation of the entire system. From this GCMC/MD approach information on the interactions between telithromycin and the 50S ribosome was obtained. In the wild-type (WT) ribosome, the 2'-OH to A2058 N1 hydrogen bond samples short distances with a higher probability, while the effectiveness of telithromycin against the A2058G mutation is explained by a rearrangement of the hydrogen bonding pattern of the 2'-OH to 2058 that maintains the overall antibiotic-ribosome interactions. In both the WT and A2058G mutation there is significant flexibility in telithromycin's imidazole-pyridine side chain (ARM), indicating that entropic effects contribute to the binding affinity. Methylated ribosomes show lower sampling of short 2'-OH to 2058 distances and also demonstrate enhanced G2057-A2058 stacking leading to disrupted A752-U2609 Watson-Crick (WC) interactions as well as hydrogen bonding between telithromycin's ARM and U2609. This information will be of utility in the rational design of novel macrolide analogs with improved activity against methylated A2058 ribosomes.

Minimal substrate features for Erm methyltransferases defined by using a combinatorial oligonucleotide library

Erm methyltransferases are prevalent in pathogenic bacteria and confer resistance to macrolide, lincosamide, and streptogramin B antibiotics by specifically methylating the 23S ribosomal RNA at nucleotide A2058. We have identified motifs within the rRNA substrate that are required for methylation by Erm. Substrate molecules were constructed in a combinatorial manner from two separate sets (top and bottom strands) of short RNA sequences. Modifications, including LNA monomers with locked sugar residues, were incorporated into the substrates to stabilize their structures. In functional substrates, the A2058 methylation target (on the 13- to 19-nucleotide top strand) was displayed in an unpaired sequence immediately following a conserved irregular helix, and these are the specific structural features recognized by Erm. Erm methylation was enhanced by stabilizing the top-strand conformation with an LNA residue at G2056. The bottom strand (nine to 19 nucleotides in length) was required for methylation and was still functional after extensive modification, including substitution with a DNA sequence. Although it remains possible that Erm makes some unspecific contact with the bottom strand, the main role played by the bottom strand appears to be in maintaining the conformation of the top strand. The addition of multiple LNA residues to the top strand impeded methylation; this indicates that the RNA substrate requires a certain amount of flexibility for accommodation into the active site of Erm. The combinatorial approach for identifying small but functional RNA substrates is a step towards making RNA-Erm complexes suitable for cocrystal determination, and for designing molecules that might block the substrate-recognition site of the enzyme.

Alanine-scanning mutagenesis of the predicted rRNA-binding domain of ErmC' redefines the substrate-binding site and suggests a model for protein-RNA interactions

The Erm family of adenine-N(6) methyltransferases (MTases) is responsible for the development of resistance to macrolide-lincosamide-streptogramin B antibiotics through the methylation of 23S ribosomal RNA. Hence, these proteins are important potential drug targets. Despite the availability of the NMR and crystal structures of two members of the family (ErmAM and ErmC', respectively) and extensive studies on the RNA substrate, the substrate-binding site and the amino acids involved in RNA recognition by the Erm MTases remain unknown. It has been proposed that the small C-terminal domain functions as a target-binding module, but this prediction has not been tested experimentally. We have undertaken structure-based mutational analysis of 13 charged or polar residues located on the predicted rRNA-binding surface of ErmC' with the aim to identify the area of protein-RNA interactions. The results of in vivo and in vitro analyses of mutant protein suggest that the key RNA-binding residues are located not in the small domain, but in the large catalytic domain, facing the cleft between the two domains. Based on the mutagenesis data, a preliminary three-dimensional model of ErmC' complexed with the minimal substrate was constructed. The identification of the RNA-binding site of ErmC' may be useful for structure-based design of novel drugs that do not necessarily bind to the cofactor-binding site common to many S-adenosyl-L- methionine-dependent MTases, but specifically block the substrate-binding site of MTases from the Erm family.