Nucleic Acids ResearchGenomicsPeer-reviewed journal article
Ribosomal RNA operons define a central functional compartment in the Streptomyces chromosome
Jean-Noël LorenziiD, Annabelle ThibessardiD, Virginia S. LioyiD, Frédéric BoccardiD, Pierre LeblondiD, Jean‐Luc PernodetiD, Stéphanie Bury‐MonéiD
Abstract
Streptomyces are prolific producers of specialized metabolites with applications in medicine and agriculture. These bacteria possess a large linear chromosome genetically compartmentalized: core genes are grouped in the central part, while terminal regions are populated by poorly conserved genes and define the chromosomal arms. In exponentially growing cells, chromosome conformation capture unveiled sharp boundaries formed by ribosomal RNA (rrn) operons that segment the chromosome into multiple domains. The first and last rrn operons delimit the highly expressed central compartment and the rather transcriptionally silent terminal compartments. Here we further explore the link between the genetic distribution of rrn operons and Streptomyces genomic compartmentalization. A large panel of genomes of species representative of the genus diversity revealed that rrn operons and core genes form a central skeleton, the former being identifiable from their core gene environment. We implemented a new nomenclature for Streptomyces genomes and trace their rrn-based evolutionary history. Remarkably, rrn operons are close to pericentric inversions. Moreover, the central compartment delimited by rrn operons has a very dense, nearly invariant core gene content. Finally, this compartment harbors genes with the highest expression levels, regardless of gene persistence and distance to the origin of replication. Our results highlight that rrn operons define the structural boundaries of a central functional compartment prone to transcription in Streptomyces.
- organism: bacteria (other)
- assay: whole-genome sequencing
- research focus: gene regulatory network inference
- approach: statistical model
- Citations
- 12
- FWCI
- 1.66
- Field percentile
- top 16%
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