An efficient method for mutant library creation inPichia pastorisuseful in directed evolution

Learning Strategies in Protein Directed Evolution

Synthetic biology is a fast-evolving research field that combines biology and engineering principles to develop new biological systems for medical, pharmacological, and industrial applications. Synthetic biologists use iterative "design, build, test, and learn" cycles to efficiently engineer genetic systems that are reliable, reproducible, and predictable. Protein engineering by directed evolution can benefit from such a systematic engineering approach for various reasons. Learning can be carried out before starting, throughout or after finalizing a directed evolution project. Computational tools, bioinformatics, and scanning mutagenesis methods can be excellent starting points, while molecular dynamics simulations and other strategies can guide engineering efforts. Similarly, studying protein intermediates along evolutionary pathways offers fascinating insights into the molecular mechanisms shaped by evolution. The learning step of the cycle is not only crucial for proteins or enzymes that are not suitable for high-throughput screening or selection systems, but it is also valuable for any platform that can generate a large amount of data that can be aided by machine learning algorithms. The main challenge in protein engineering is to predict the effect of a single mutation on one functional parameter-to say nothing of several mutations on multiple parameters. This is largely due to nonadditive mutational interactions, known as epistatic effects-beneficial mutations present in a genetic background may not be beneficial in another genetic background. In this work, we provide an overview of experimental and computational strategies that can guide the user to learn protein function at different stages in a directed evolution project. We also discuss how epistatic effects can influence the success of directed evolution projects. Since machine learning is gaining momentum in protein engineering and the field is becoming more interdisciplinary thanks to collaboration between mathematicians, computational scientists, engineers, molecular biologists, and chemists, we provide a general workflow that familiarizes nonexperts with the basic concepts, dataset requirements, learning approaches, model capabilities and performance metrics of this intriguing area. Finally, we also provide some practical recommendations on how machine learning can harness epistatic effects for engineering proteins in an "outside-the-box" way.

Improving the temperature characteristics and catalytic efficiency of a mesophilic xylanase from Aspergillus oryzae, AoXyn11A, by iterative mutagenesis based on in silico design

To improve the temperature characteristics and catalytic efficiency of a glycoside hydrolase family (GHF) 11 xylanase from Aspergillus oryzae (AoXyn11A), its variants were predicted based on in silico design. Firstly, Gly²¹ with the maximum B-factor value, which was confirmed by molecular dynamics (MD) simulation on the three-dimensional structure of AoXyn11A, was subjected to site-saturation mutagenesis. Thus, one variant with the highest thermostability, AoXyn11A^G21I, was selected from the mutagenesis library, E. coli/Aoxyn11A^G21X (X: any one of 20 amino acids). Secondly, based on the primary structure multiple alignment of AoXyn11A with seven thermophilic GHF11 xylanases, AoXyn11A^Y13F or AoXyn11A^G21I–Y13F, was designed by replacing Tyr¹³ in AoXyn11A or AoXyn11A^G21I with Phe. Finally, three variant-encoding genes, Aoxyn11A^G21I, Aoxyn11A^Y13F and Aoxyn11A^G21I–Y13F, were constructed by two-stage whole-plasmid PCR method, and expressed in Pichia pastoris GS115, respectively. The temperature optimum (T_opt) of recombinant (re) AoXyn11A^G21I–Y13F was 60 °C, being 5 °C higher than that of reAoXyn11A^G21I or reAoXyn11A^Y13F, and 10 °C higher than that of reAoXyn11A. The thermal inactivation half-life (t_1/2) of reAoXyn11A^G21I–Y13F at 50 °C was 240 min, being 40-, 3.4- and 2.5-fold longer than those of reAoXyn11A, reAoXyn11A^G21I and reAoXyn11A^Y13F. The melting temperature (T_m) values of reAoXyn11A, reAoXyn11A^G21I, reAoXyn11A^Y13F and reAoXyn11A^G21I–Y13F were 52.3, 56.5, 58.6 and 61.3 °C, respectively. These findings indicated that the iterative mutagenesis of both Gly21Ile and Tyr13Phe improved the temperature characteristics of AoXyn11A in a synergistic mode. Besides those, the catalytic efficiency (k_cat/K_m) of reAoXyn11A^G21I–Y13F was 473.1 mL mg⁻¹ s⁻¹, which was 1.65-fold higher than that of reAoXyn11A.

Improvement in the thermostability of a type A feruloyl esterase, AuFaeA, from Aspergillus usamii by iterative saturation mutagenesis

Feruloyl or ferulic acid esterase (Fae, EC 3.1.1.73) catalyzes the hydrolysis of ester bonds between polysaccharides and phenolic acid compounds in xylan side chain. In this study, the thermostability of a type A feruloyl esterase (AuFaeA) from Aspergillus usamii was increased by iterative saturation mutagenesis (ISM). Two amino acids, Ser33 and Asn92, were selected for saturation mutagenesis according to the B-factors analyzed by B-FITTER software and ΔΔG values predicted by PoPMuSiC algorithm. After screening the saturation mutagenesis libraries constructed in Pichia pastoris, 15 promising variants were obtained. The best variant S33E/N92-4 (S33E/N92R) produced a T m value of 44.5 °C, the half-lives (t1/2) of 35 and 198 min at 55 and 50 °C, respectively, corresponding to a 4.7 °C, 2.33- and 3.96-fold improvement compared to the wild type. Additionally, the best S33 variant S33-6 (S33E) was thermostable at 50 °C with a t1/2 of 82 min, which was 32 min longer than that of the wild type. All the screened S33E/N92 variants were more thermostable than the best S33 variant S33-6 (S33E). This work would contribute to the further studies on higher thermostability modification of type A feruloyl esterases, especially those from fungi. The thermostable feruloyl esterase variants were expected to be potential candidates for industrial application in prompting the enzymic degradation of plant biomass materials at elevated temperatures.

Towards the development of systems for high-yield production of microbial lipases

Microbial lipases are a versatile and attractive class of biocatalysts for a wide variety of applications. Lipases can be produced by bacteria, yeasts or filamentous fungi. Nevertheless, they are often not optimal for direct use in industrial conditions due to low yields, low specific activities and a limited spectrum of activities. Improvements in the productivity of lipases have been made by genetic manipulation of the cell factory production hosts and by optimizing production media and conditions. Advances in protein engineering technology, ranging from directed evolution to rational design, have also been able to tailor lipases to particular applications. This review describes various approaches used to improve lipase production and applications.

Enhanced thermostability of a Rhizopus chinensis lipase by in vivo recombination in Pichia pastoris

Background

Lipase from Rhizopus chinensis is a versatile biocatalyst for various bioconversions and has been expressed at high-level in Pichia pastoris. However, the use of R. chinensis lipase in industrial applications is restricted by its low thermostability. Directed evolution has been proven to be a powerful and efficient protein engineering tool for improvement of biocatalysts. The present work describes improvement of the thermostability of R. chinensis lipase by directed evolution using P. pastoris as the host.

Results

An efficient, fast and highly simplified method was developed to create a mutant gene library in P. pastoris based on in vivo recombination, whose recombination efficiency could reach 2.3 × 10⁵ /μg DNA. The thermostability of r27RCL was improved significantly by two rounds of error-prone PCR and two rounds of DNA shuffling in P. pastoris. The S4-3 variant was found to be the most thermostable lipase, under the conditions tested. Compared with the parent, the optimum temperature of S4-3 was two degrees higher, T_m was 22 degrees higher and half-lives at 60°C and 65°C were 46- and 23- times longer. Moreover, the catalytic efficiency k_cat/K_m of S4-3 was comparable to the parent. Stabilizing mutations probably increased thermostability by increasing the hydrophilicity and polarity of the protein surface and creating hydrophobic contacts inside the protein.

Conclusions

P. pastoris was shown to be a valuable cell factory to improve thermostability of enzymes by directed evolution and it also could be used for improving other properties of enzymes. In this study, by using P. pastoris as a host to build mutant pool, we succeeded in obtaining a thermostable variant S4-3 without compromising enzyme activity and making it a highly promising candidate for future applications at high temperatures.

Multiple amino acid substitutions significantly improve the thermostability of feruloyl esterase A from Aspergillus niger

Feruloyl esterase A from Aspergillus niger (AnFaeA) is one of the most important feruloyl esterases of industrial relevance. Previous work aided by the PoPMuSiC algorithm has identified two beneficial mutants (D93G and S187F) with thermostabilization effect. In this work, twelve additional amino acid substitutions were identified to be beneficial to the thermostability of AnFaeA after screening a random mutagenesis library constructed in Pichia pastoris. Combination of these mutations resulted in a mutant with 80% residual activity after heat treatment at 90 °C for 15 min and a half-life increasing from 15 min to >4000 min at 55 °C. The thermostabilized mutant displayed significantly enhanced performance compared to the parental AnFaeA when applied to the treatment of steam-exploded corn stalk at 60 °C together with an xylanase, demonstrating its great potential for industrial application.