Genome size and nucleotide skews as predictors of bacterial growth rate

Abstract

Bacterial growth rates are constrained by genome replication, yet the role of replication kinetics in bacterial growth rates remains incompletely understood. Here, we examine if genome size, replichore organization, and nucleotide compositional asymmetry are reasonable predictors of bacterial doubling times. In free-living bacteria, both genome size and the length of the longest replichore are found to correlate positively with doubling time, pointing to an influence of replication dynamics on bacterial growth rates. Moreover, fast-growing bacteria are shown to exhibit stronger nucleotide compositional skew. Incorporating skew into the model substantially improves predictive accuracy, suggesting that compositional asymmetry in genomes may facilitate replication fork progression and thereby enhance growth rates. Based on these observations, we speculate that nucleotide skew may play a potential adaptive role in bacterial genome replication. To assess whether the observed association between genome architecture and growth rate reflects an evolutionary signature or a mechanistic link, we reconstructed ancestral states and found that the model fits ancestral traits more strongly, with predictive strength (R2) decreasing progressively along the evolutionary tree as successive speciations occur. We speculate that this association has been stronger early in bacterial evolution and became subsequently screened as organisms diversified and increased in ecological and physiological complexity.