Abstract

Coevolution analyses identify residues that co-vary with each other during evolution, revealing sequence relationships unobservable from traditional multiple sequence alignments. Here we describe a coevolutionary analysis of phosphomannomutase/phosphoglucomutase (PMM/PGM), a widespread and diverse enzyme family involved in carbohydrate biosynthesis. Mutual information and graph theory were utilized to identify a network of highly connected residues with high significance. An examination of the most tightly connected regions of the coevolutionary network reveals that most of the involved residues are localized near an interdomain interface of this enzyme, known to be the site of a functionally important conformational change. The roles of four interface residues found in this network were examined via site-directed mutagenesis and kinetic characterization. For three of these residues, mutation to alanine reduces enzyme specificity to ∼10% or less of wild-type, while the other has ∼45% activity of wild-type enzyme. An additional mutant of an interface residue that is not densely connected in the coevolutionary network was also characterized, and shows no change in activity relative to wild-type enzyme. The results of these studies are interpreted in the context of structural and functional data on PMM/PGM. Together, they demonstrate that a network of coevolving residues links the highly conserved active site with the interdomain conformational change necessary for the multi-step catalytic reaction. This work adds to our understanding of the functional roles of coevolving residue networks, and has implications for the definition of catalytically important residues.

Highlights

  • Recent developments in bioinformatics have provided new tools for understanding relationships between protein sequence, structure, and function

  • The median overall sequence identity of the multiple sequence alignment (MSA) is 43.8% for,400 ungapped positions. This MSA is highly robust for the mutual information (MI) analysis below, both in terms of finite sample size effects, which can occur in alignments with fewer than 150 sequences, and phylogenetic influence, which can arise when a number of closely related sequences are found in the MSA [29]

  • Several variations of MI were tested on our MSA, including ZRes [5], Z-scored-product normalized mutual information (ZNMI) [30], and Zpx [31]

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Summary

Introduction

Recent developments in bioinformatics have provided new tools for understanding relationships between protein sequence, structure, and function. Recent studies of coevolving residues have revealed roles in protein stability, enzyme catalysis, intermolecular interactions, and macromolecular recognition [1,2,3,4,5,6,7] Methods such as coevolutionary analysis are increasingly necessary for deriving insights from the rapidly expanding quantities of sequence information, which far exceeds capacity for experimental investigation. PMM/PGM proteins have varied biosynthetic roles and are associated with virulence and resistance to antibiotics [21,22,23,24,25,26,27,28] These enzymes are of potential interest for the development of inhibitors with clinical utility against bacterial infections

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