Topology Dictates Evolution of Regulatory Cysteines in a Family of Viral Oncoproteins
; Lorenzo Lopez, Juan Ramiro
; Camporeale, Gabriela
; Montero, Luciano ; Sánchez Miguel, Ignacio Enrique
; de Prat Gay, Gonzalo
; Alonso, Leonardo Gabriel 
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Fecha
07/2019
Editorial
Oxford University Press
Revista
Molecular Biology and Evolution
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Institución organizadora
ISSN
0737-4038
eISSN
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Inglés
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Resumen
Redox regulation in biology is largely operated by cysteine chemistry in response to a variety of cell environmental and intracellular stimuli. The high chemical reactivity of cysteines determines their conservation in functional roles, but their presence can also result in harmful oxidation limiting their general use by proteins. Papillomaviruses constitute a unique system for studying protein sequence evolution since there are hundreds of anciently evolved stable genomes. E7, the viral transforming factor, is a dimeric, cysteine-rich oncoprotein that shows both conserved structural and variable regulatory cysteines constituting an excellent model for uncovering the mechanism that drives the acquisition of redox-sensitive groups. By analyzing over 300 E7 sequences, we found that although noncanonical cysteines show no obvious sequence conservation pattern, they are nonrandomly distributed based on topological constrains. Regulatory residues are strictly excluded from six positions stabilizing the hydrophobic core while they are enriched in key positions located at the dimerization interface or around the Zn+2 ion. Oxidation of regulatory cysteines is linked to dimer dissociation, acting as a reversible redox-sensing mechanism that triggers a conformational switch. Based on comparative sequence analysis, molecular dynamics simulations and biophysical analysis, we propose a model in which the occurrence of cysteine-rich positions is dictated by topological constrains, providing an explanation to why a degenerate pattern of cysteines can be achieved in a family of homologs. Thus, topological principles should enable the possibility to identify hidden regulatory cysteines that are not accurately detected using sequence based methodology.
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