Improving the Catalytic Efficiency of a GH5 Processive Endoglucanase by a Combinatorial Strategy Using Consensus Mutagenesis and Loop Engineering

Abstract

Processive endoglucanase is a typical bifunctional biocatalyst for cellulose degradation. A GH5 processive endoglucanase from Bacillus subtilis BS-5 was previously identified and shown to exhibit highly efficient catalytic performance. To further augment its catalytic efficiency, both consensus mutagenesis and loop engineering were applied. Compared to the wild-type enzyme, a variant (M3-1) with the four point mutations, i.e., K91I, A198T, Q237D, and V240P, exhibits an 8.5-and 4.8-fold increase in catalytic efficiency toward the soluble substrate carboxymethyl cellulose-Na (CMC) and the insoluble phosphoric acid-swollen cellulose (PASC), respectively. Molecular dynamics simulations were employed to elucidate the conformational changes that led to the enhanced catalytic efficiency. Structural superpositions suggest that the mutations cause a swing in loop 230−241, which in turn affects enzyme−substrate affinity and recognition. Residues K91 and A198 are located distal from the active site. The mutations K91I and A198T influence key amino acids within the active pocket through residue interaction networks in the protein. Furthermore, dynamic cross-correlation matrices (DCCMs) indicate that variant M3-1 possesses a conformation that is more favorable than that of the wild-type enzyme, promoting an increased frequency of interactions between active site residues and substrate molecules and thereby enhancing catalytic efficiency. The combined results provide valuable insights into the rational design and engineering of processive endoglucanases and other glycoside hydrolases, enabling the development of improved enzymatic catalysts for biotechnology applications.