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Conserved amino acid networks modulate discrete functional properties in an enzyme superfamily.

ABSTRACT: In this work, we applied the sequence-based statistical coupling analysis approach to characterize conserved amino acid networks important for biochemical function in the pancreatic-type ribonuclease (ptRNase) superfamily. This superfamily-wide analysis indicates a decomposition of the RNase tertiary structure into spatially distributed yet physically connected networks of co-evolving amino acids, termed sectors. Comparison of this statistics-based description with new NMR experiments data shows that discrete amino acid networks, termed sectors, control the tuning of distinct functional properties in different enzyme homologs. Further, experimental characterization of evolutionarily distant sequences reveals that sequence variation at sector positions can distinguish homologs with a conserved dynamic pattern and optimal catalytic activity from those with altered dynamics and diminished catalytic activities. Taken together, these results provide important insights into the mechanistic design of the ptRNase superfamily, and presents a structural basis for evolutionary tuning of function in functionally diverse enzyme homologs.

SUBMITTER: Narayanan C

PROVIDER: S-EPMC5466627 | biostudies-literature | 2017 Jun

REPOSITORIES: biostudies-literature

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Conserved amino acid networks modulate discrete functional properties in an enzyme superfamily.

Narayanan Chitra C Gagné Donald D Reynolds Kimberly A KA Doucet Nicolas N

Scientific reports 20170609 1

In this work, we applied the sequence-based statistical coupling analysis approach to characterize conserved amino acid networks important for biochemical function in the pancreatic-type ribonuclease (ptRNase) superfamily. This superfamily-wide analysis indicates a decomposition of the RNase tertiary structure into spatially distributed yet physically connected networks of co-evolving amino acids, termed sectors. Comparison of this statistics-based description with new NMR experiments data shows ...[more]

PMID: 28600532

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Project description:IIA(Glc), the glucose-specific phosphocarrier protein of the phosphoenolpyruvate:glycose phosphotransferase system, is an allosteric inhibitor of Escherichia coli glycerol kinase. A linked-functions initial-velocity enzyme kinetics approach is used to define the MgATP-IIA(Glc) heterotropic allosteric interaction. The interaction is measured by the allosteric coupling constants Q and W, which describe the mutual effect of the ligands on binding affinity and the effect of the allosteric ligand on V(max), respectively. Allosteric interactions between these ligands display K-type activation and V-type inhibition. The allosteric coupling constant Q is about 3, showing cooperative coupling such that each ligand increases the affinity for binding of the other. The allosteric coupling constant W is about 0.1, showing that the allosteric inhibition is partial such that binding of IIA(Glc) at saturation does not reduce V(max) to zero. E. coli glycerol kinase is a member of the sugar kinase/heat shock protein 70/actin superfamily, and an element of the superfamily conserved ATPase catalytic core was identified as part of the IIA(Glc) inhibition network because it is required to transplant IIA(Glc) allosteric control into a non-allosteric glycerol kinase [A.C. Pawlyk, D.W. Pettigrew, Proc. Natl. Acad. Sci. USA 99 (2002) 11115-11120]. Two of the amino acids at this locus of E. coli glycerol kinase are replaced with those from the non-allosteric enzyme to enable determination of its contributions to MgATP-IIA(Glc) allosteric coupling. The substitutions reduce the affinity for IIA(Glc) by about 5-fold without changing significantly the allosteric coupling constants Q and W. The insensitivity of the allosteric coupling constants to the substitutions may indicate that the allosteric network is robust or the locus is not an element of that network. These possibilities may arise from differences of E. coli glycerol kinase relative to other superfamily members with respect to oligomeric structure and location of the allosteric site in a single domain far from the catalytic site.

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Conserved amino acid networks modulate discrete functional properties in an enzyme superfamily.

Publications

Conserved amino acid networks modulate discrete functional properties in an enzyme superfamily.

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