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1.
J Bacteriol ; 197(9): 1606-13, 2015 May.
Article in English | MEDLINE | ID: mdl-25691529

ABSTRACT

UNLABELLED: MerR metalloregulators alleviate toxicity caused by an excess of metal ions, such as copper, zinc, mercury, lead, cadmium, silver, or gold, by triggering the expression of specific efflux or detoxification systems upon metal detection. The sensor protein binds the inducer metal ion by using two conserved cysteine residues at the C-terminal metal-binding loop (MBL). Divalent metal ion sensors, such as MerR and ZntR, require a third cysteine residue, located at the beginning of the dimerization (α5) helix, for metal coordination, while monovalent metal ion sensors, such as CueR and GolS, have a serine residue at this position. This serine residue was proposed to provide hydrophobic and steric restrictions to privilege the binding of monovalent metal ions. Here we show that the presence of alanine at this position does not modify the activation pattern of monovalent metal sensors. In contrast, GolS or CueR mutant sensors with a substitution of cysteine for the serine residue respond to monovalent metal ions or Hg(II) with high sensitivities. Furthermore, in a mutant deleted of the Zn(II) exporter ZntA, they also trigger the expression of their target genes in response to either Zn(II), Cd(II), Pb(II), or Co(II). IMPORTANCE: Specificity in a stressor's recognition is essential for mounting an appropriate response. MerR metalloregulators trigger the expression of specific resistance systems upon detection of heavy metal ions. Two groups of these metalloregulators can be distinguished, recognizing either +1 or +2 metal ions, depending on the presence of a conserved serine in the former or a cysteine in the latter. Here we demonstrate that the serine residue in monovalent metal ion sensors excludes divalent metal ion detection, as its replacement by cysteine renders a pan-metal ion sensor. Our results indicate that the spectrum of signals detected by these sensors is determined not only by the metal-binding ligand availability but also by the metal-binding cavity flexibility.


Subject(s)
Bacterial Proteins/genetics , Bacterial Proteins/metabolism , DNA-Binding Proteins/genetics , DNA-Binding Proteins/metabolism , Metals/metabolism , Metals/toxicity , Serine/metabolism , DNA Mutational Analysis , Ions/metabolism , Ions/toxicity , Substrate Specificity
2.
J Bacteriol ; 195(13): 3084-92, 2013 Jul.
Article in English | MEDLINE | ID: mdl-23645605

ABSTRACT

Two homologous transcription factors, CueR and GolS, that belong to the MerR metalloregulatory family are responsible for Salmonella Cu and Au sensing and resistance, respectively. They share similarities not only in their sequences, but also in their target transcription binding sites. While CueR responds similarly to Au, Ag, or Cu to induce the expression of its target genes, GolS shows higher activation by Au than by Ag or Cu. We showed that the ability of GolS to distinguish Au from Cu resides in the metal-binding loop motif. Here, we identify the amino acids within the motif that determine in vivo metal selectivity. We show that residues at positions 113 and 118 within the metal-binding loop are the main contributors to metal selectivity. The presence of a Pro residue at position 113 favors the detection of Cu, while the presence of Pro at position 118 disfavors it. Our results highlight the molecular bases that allow these regulators to coordinate the correct metal ion directing the response to a particular metal injury.


Subject(s)
Bacterial Proteins/metabolism , Metals/metabolism , Salmonella/metabolism , Bacterial Proteins/genetics , Copper/metabolism , DNA-Binding Proteins/genetics , DNA-Binding Proteins/metabolism , Gene Expression Regulation, Bacterial , Gold/metabolism , Salmonella/genetics , Silver/metabolism , Transcription Factors/genetics , Transcription Factors/metabolism
3.
Pediatr Dermatol ; 30(6): e138-42, 2013.
Article in English | MEDLINE | ID: mdl-23442195

ABSTRACT

Mutations of the GJB2 gene, which encodes connexin 26, are related to a range of conditions associated with sensorineural deafness and keratinization disorders. We present the case of a newborn girl with sensorineural deafness, erythematous hyperkeratotic plaques on intertriginous areas, and parakeratosis on the oral and esophageal mucosa. She had an F142L mutation in exon 1 of the GJB2 gene, which was described previously in a patient with a similar phenotype.


Subject(s)
Connexins/genetics , Hearing Loss, Sensorineural/genetics , Skin Diseases, Genetic/genetics , Connexin 26 , Family Health , Female , Humans , Infant, Newborn , Mouth Mucosa/pathology , Parents , Skin/pathology , Skin Diseases, Genetic/pathology , Syndrome
4.
Mol Microbiol ; 78(4): 853-65, 2010 Nov.
Article in English | MEDLINE | ID: mdl-20807206

ABSTRACT

The evolution of bacterial regulatory circuits often involves duplication of genes encoding transcription factors that may suffer both modifications in their detected signals, as well as, rewiring of their target operators. This, and subsequent horizontal gene transfer events contribute to generate a diverse array of regulatory pathways. In Salmonella, two homologous transcription factors CueR and GolS are responsible for Cu and Au sensing and resistance respectively. They share similarities not only in their sequence but also in their target binding sites, although they cluster separately among MerR-monovalent metal sensors. Here, we demonstrate that CueR and GolS can selectively distinguish their target binding sites by recognizing bases at positions 3' and 3 of their cognate operators. Swap of these bases results in switching regulator dependency. The differences in promoter architecture plus the environmentally controlled regulator's cytoplasmic availability warrant intra-regulon regulator-operator selectivity, and the proper response to metal injury. Furthermore, the presence of the distinctive operators' bases is widely extended among the two groups of MerR-monovalent metal sensors, providing evidence of the co-evolution of these factors and their target operators. This approach allows the prediction of regulator's dependency and the identification of transcription modules among groups of homologous transcription factors.


Subject(s)
Bacterial Proteins/metabolism , DNA-Binding Proteins/metabolism , Gene Expression Regulation, Bacterial , Salmonella typhimurium/genetics , Transcription Factors/metabolism , Transcription, Genetic , Base Sequence , Binding Sites , DNA, Bacterial/genetics , Ions/metabolism , Metals/metabolism , Molecular Sequence Data , Operator Regions, Genetic , Protein Binding , Salmonella typhimurium/metabolism
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