Assembly constraints drive co-evolution among ribosomal constituents

Area of Science:

• Molecular Biology
• Biophysics
• Systems Biology

Background:

• Ribosome biogenesis is a complex, essential cellular process involving sequential assembly of protein and RNA components.
• Understanding the intricate assembly pathways and biophysical interactions within the ribosome is a significant challenge.

Purpose of the Study:

• To construct a co-evolutionary network of ribosome residues to predict assembly constraints.
• To identify relationships between co-evolutionary patterns and structural/functional properties of the ribosome.
• To explore the potential of co-evolutionary analysis for predicting mutation effects and antibiotic targets.

Main Methods:

• Construction of a co-evolutionary network based on nucleotide and amino acid residue data from the ribosome.
• Analysis of topological features within the co-evolutionary network to identify regions with different assembly dynamics.
• Correlation of co-evolutionary patterns with known structural reconstitution events and biophysical interactions.

Main Results:

• Assembly constraints were found to be strong predictors of co-evolutionary patterns in the ribosome.
• Co-evolutionary network topology successfully differentiated rRNA regions prone to rapid reconstitution from those with kinetic traps.
• Co-evolutionary patterns provided insights into deleterious mutation sites and potential antibiotic targeting sites.

Conclusions:

• Co-evolutionary analysis offers a powerful 'proof of concept' for understanding multicomponent macromolecular assembly.
• This approach can predict critical functional interactions and identify sites for assembly-blocking antibiotics.
• The study links evolutionary constraints directly to the biophysical interactions governing ribosome assembly.