Interplay between Two-Component Regulatory Systems Is Involved in Control of Cupriavidus metallidurans Metal Resistance Genes

Metal resistance of Cupriavidus metallidurans is based on determinants that were acquired in the past by horizontal gene transfer during evolution. Some of these determinants encode transmembrane metal efflux systems. Expression of most of the respective genes is controlled by two-component regulatory systems composed of a membrane-bound sensor/sensory histidine kinase (HK) and a cytoplasmic, DNA-binding response regulator (RR). Here, we investigated the interplay between the three closely related two-component regulatory systems CzcRS, CzcR(2)S(2), and AgrRS. All three systems regulate the response regulator CzcR, while the RRs AgrR and CzcR(2) were not involved in czc regulation. Target promoters were czcNp and czcPp for genes upstream and downstream of the central czc gene region. The two systems together repressed CzcRS-dependent upregulation of czcP-lacZ at low zinc concentrations in the presence of CzcS but activated this signal transmission at higher zinc concentrations. AgrRS and CzcR(2)S(2) interacted to quench CzcRS-mediated expression of czcNp-lacZ and czcPp-lacZ. Together, cross talk between the three two-component regulatory systems enhanced the capabilities of the Czc systems by controlling expression of the additional genes czcN and czcP. IMPORTANCE Bacteria are able to acquire genes encoding resistance to metals and antibiotics by horizontal gene transfer. To bestow an evolutionary advantage on their host cell, new genes must be expressed, and their expression should be regulated so that resistance-mediating proteins are produced only when needed. Newly acquired regulators may interfere with those already present in a host cell. Such an event was studied here in the metal-resistant bacterium Cupriavidus metallidurans. The results demonstrate how regulation by the acquired genes interacts with the host’s extant regulatory network. This leads to emergence of a new system level of complexity that optimizes the response of the cell to periplasmic signals.