Sep 2026· Journal of Biological Engineering· 0 citations
TL;DR
A comprehensive genome-wide characterization of the RpoD and RpoS regulons is provided, and systematically compare RpoN binding across nitrogen conditions, to establish a systems-level framework for resolving σ-factor regulation and its condition-dependent coordination.
Abstract
Pseudomonas putida
KT2440 is a widely recognized industrial chassis with broad metabolic versatility. Its large repertoire of σ-factors enables coordinated transcriptional response to diverse environmental and physiological conditions, yet the regulatory landscapes of its major σ-factors remain poorly defined. Here, we provide a comprehensive genome-wide characterization of the RpoD and RpoS regulons, and systematically compare RpoN binding across nitrogen conditions. By integrating ChIP-seq, RNA-seq, and independent component analysis, we establish a systems-level framework for resolving σ-factor regulation and its condition-dependent coordination.
RpoN occupied a largely conserved set of genomic targets across nitrogen sources, with binding intensity broadly increased under amino acid substrates relative to ammonium. An intragenic RpoN site within
rlmD
, upstream of the stringent-response gene
relA
, recapitulated a regulatory architecture previously identified in
Escherichia coli
and
Salmonella
Typhimurium, suggesting a conserved link between RpoN and the stringent response. Decomposition of transcriptomes using i-modulons uncovered cross-σ regulatory relationships including activation of RpoS-associated modules following
rpoN
deletion and activation of previously uncharacterized modules associated with genomic islands and an alternative Type VI secretion system under a nitrogen-limiting condition. During stationary phase, RpoS regulated TCA-cycle activity, while increased RpoD occupancy at promoters derepressed in the
rpoS
mutant provided evidence of σ-factor competition.
Together, these results delineate the functional architecture of major σ-factors regulation in
P. putida
and provide a foundational reference for future studies that leverage σ-factor for metabolic engineering.
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