# Efficient Degradation of Monoacylglycerols by an Engineered Aspergillus oryzae Lipase: Synergistic Effects of sfGFP Fusion and Rational Design

**Authors:** Yuqing Wang, Fang Liu, Yuxi Tian, Jiazhen Sun, Dawei Liu, Fei Li, Yaping Wang, Ben Rao

PMC · DOI: 10.3390/molecules31030398 · Molecules · 2026-01-23

## TL;DR

Scientists improved a fungal enzyme to efficiently break down a byproduct of oil processing, making it a better tool for producing biodiesel and pure fatty acids.

## Contribution

A synergistic approach combining sfGFP fusion and rational design significantly enhanced the enzyme's performance for monoacylglycerol degradation.

## Key findings

- The sfGFP fusion improved enzyme solubility and stability, achieving a 65% MAG conversion rate.
- The Y92Q mutation boosted conversion to 98%, surpassing commercial standards like Novozym 435.
- Structural analysis showed the mutation enlarged the active site, easing substrate access.

## Abstract

Monoacylglycerols (MAGs) are significant intermediate byproducts in the hydrolysis of oils and fats. The accumulation of MAGs not only reduces the quality and purity of the final products in biodiesel production and edible oil refining but also poses challenges for downstream separation processes. Therefore, the development of efficient biocatalysts for the specific MAG conversion is of great industrial importance. The lipase from Aspergillus oryzae (AOL) has shown potential for lipid modification; however, the wild-type enzyme (WT) suffers from poor solubility, tendency to aggregate, and low specific activity towards MAGs in aqueous systems, which severely restricts its practical application. In this study, a combinatorial protein engineering strategy was employed to overcome these limitations. We integrated fusion protein technology with rational design to enhance both the functional expression and catalytic efficiency of AOL. Firstly, the superfolder green fluorescent protein (sfGFP) was fused to the N-terminus of AOL. The results indicated that the sfGFP fusion tag significantly improved the solubility and stability of the enzyme, preventing the formation of inclusion bodies. The fusion protein sfGFP-AOL exhibited a MAG conversion rate of approximately 65%, confirming the positive impact of the fusion tag on enzyme developability. To further boost catalytic performance, site-directed mutagenesis was performed based on structural analysis. Among the variants, the mutant sfGFP-Y92Q emerged as the most potent candidate. In the MAG conversion, sfGFP-Y92Q achieved a conversion rate of 98%, which was not only significantly higher than that of sfGFP-AOL but also outperformed the widely used commercial immobilized lipase, Novozym 435 (~54%). Structural modeling and docking analysis revealed that the Y92Q mutation optimized the geometry of the active site. The substitution of Tyrosine with Glutamine at position 92 likely enlarged the substrate-binding pocket and altered the local electrostatic environment, thereby relieving steric hindrance and facilitating the access of the bulky MAG substrate to the catalytic center. In conclusion, this work demonstrates that the synergistic application of sfGFP fusion and rational point mutation (Y92Q) can dramatically transform the catalytic properties of AOL. The engineered sfGFP-Y92Q variant serves as a robust and highly efficient biocatalyst for MAG degradation. Its superior performance compared to commercial standards suggests immense potential for cost-effective applications in the bio-manufacturing of high-purity fatty acids and biodiesel, offering a greener alternative to traditional chemical processes.

## Linked entities

- **Chemicals:** Monoacylglycerols (PubChem CID 753)
- **Species:** Aspergillus oryzae (taxon 5062)

## Full-text entities

- **Chemicals:** MAG (MESH:D050178), oils (MESH:D009821), lipid (MESH:D008055), fatty acids (MESH:D005227)
- **Species:** Aspergillus oryzae (species) [taxon 5062]
- **Mutations:** Tyrosine with Glutamine at position 92

## Full text

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## Figures

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## References

20 references — full list in the complete paper: https://tomesphere.com/paper/PMC12899640/full.md

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Source: https://tomesphere.com/paper/PMC12899640