On the clustering of rare codons and its effect on translation

TL;DR

This paper introduces a statistical method to identify rare codon clusters in genes and demonstrates that denser clusters correlate with reduced protein yields in E. coli.

Contribution

It presents a novel statistical approach for detecting rare codon clusters and links cluster density to protein production efficiency.

Findings

Denser rare codon clusters are associated with lower protein yields.

A new statistical method effectively identifies codon clusters.

Cluster density impacts translation efficiency.

Abstract

The presence of clusters of rare codons is known to negatively impact the efficiency and accuracy of protein production. In this paper, we demonstrate a statistical method of identifying such clusters in the coding sequence of a gene. Using E. coli as our model organism, we show that genes having denser clusters tend to have lower protein yields.