Gene age and genome organization in Escherichia coli and Bacillus subtilis
Artikel i vetenskaplig tidskrift, 2025

Using genomic phylostratigraphy, we examined the organization of Escherichia coli and Bacillus subtilis genomes from the perspective of evolutionary age of their genes. Phylostratigraphy analysis classifies individual genes into age-related bins, called phylostrata. Based on this analysis, several common features emerged in the genomes of the two model bacteria. More recent genes tend to be shorter and are expressed less frequently, or only in specific conditions. In terms of genomic location, new genes are enriched in areas containing prophages, suggesting a link with horizontal gene transfer. Interestingly, while most bacterial transcription regulators belong to the oldest phylostrata, they regulate expression of both older and more recent genes alike. A large fraction of bacterial operons contains genes from different phylostrata. This suggests that newer genes are integrated in the existing framework for regulating gene expression, and that the establishment of new regulatory circuits typically do not accompany acquisition of new genes. One striking difference between E. coli and B. subtilis genomes was observed. About 87.0% of all E. coli genes belong to the evolutionary oldest physlostratum. In B. subtilis, this number is only 71.8%, indicating a more eventful evolutionary past in terms of acquisition of new genes, either by gene emergence or by horizontal transfer.

transcription regulators

horizontal gene transfer

operon structure

genomic phylostratigraphy

prophages

Författare

C. Jers

Novo Nordisk Fonden

Hrvoje Mišetić

Ruder Boskovic Institute

V. Ravikumar

Novo Nordisk Fonden

Abhroop Garg

Novo Nordisk Fonden

D. Franjevic

Sveučilište u Zagrebu

Tomislav Domazet-Lošo

Ruder Boskovic Institute

Catholic University of Croatia

Ivan Mijakovic

Novo Nordisk Fonden

Chalmers, Life sciences, Systembiologi

Frontiers in Microbiology

1664302x (eISSN)

Vol. 16 1512923

Ämneskategorier (SSIF 2025)

Bioinformatik och beräkningsbiologi

Mikrobiologi

Genetik och genomik

DOI

10.3389/fmicb.2025.1512923

PubMed

40606165

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Senast uppdaterat

2025-07-16