Predicting slippery spots for the ribosome

In the genetic blueprint for proteins, the information for each amino acid is encoded by codons. A codon consists of three consecutive building blocks of messenger RNA (mRNA), a base triplet that encodes exactly one amino acid. During protein synthesis, adaptor molecules - called tRNAs - specifically base-pair with the codon and bring the correct amino acid into the catalytic center of the ribosome, where it is attached to the growing peptide chain. Although this process has been thought to be highly accurate, on specific mRNAs ribosomes can be programmed to move by one base and thus change the meaning of all following codons. This phenomenon is called programmed ribosomal frameshifting (PRF) and is used in all domains of life, especially by pathogens such as viruses. As all downstream codons are affected, PRF can strongly alter the structure and function of the resulting protein. Junior Professor Neva Caliskan from the Helmholtz Institute for RNA-based Infection Research (HIRI) in Würzburg, a joint institution of the Helmholtz Centre for Infection Research in Braunschweig and the Julius Maximilian University Würzburg, collaborated with researchers from the Max Planck Institute for Biophysical Chemistry (MPI-BPC) to develop a model to calculate the frameshift efficiency from the free energy of base pairing. Using this approach, the researchers can now predict sites in the genome where PRF is likely to occur, giving rise to altered proteomes. The study was recently published in the journal Nature Communications.