Screening for genes involved in cellulase regulation by expression under the control of a novel constitutive promoter in Trichoderma reesei

Beier, Sabrina; Stiegler, Marlene; Hitzenhammer, Eva; Schmoll, Monika

doi:10.1016/j.crbiot.2022.04.001

Cited by 5 publications

(4 citation statements)

References 65 publications

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“…have two exoglucanase genes (CBHI and CBHII), five genes of endoglucanases (EGI, EGII, EGIII, EGIV and EGV) and two genes of β-glucosidases (Srisodsuk, 1994;Saloheimo et al, 1997;Hong et al, 2001;Foreman et al 2003;Azimova et al, 2016). CBH1 is critical gene with strong promoter which encode for enzyme that hydrolyze the cellulose from the ends, and represent about 60% of total protein (Seiboth et al, 1992;Horn et al, 2012;Beier et al, 2022). Meanwhile, EGI and EGII encode for endoglucanases which attack the cellulose chains internally and represent more than 20% of the extracellular protein (Wood and McCrae, 1982;Miettinen-Oinonen and Suominen, 2002;Karkehabadi et al, 2008;Horn et al, 2012;Chokhawala et al, 2015).…”

Section: Discussionmentioning

confidence: 99%

“…CBH1 is substantial enzyme that degrade the cellulose from the ends, and represent about 60% of total protein (Seiboth et al, 1992;Horn et al, El Zanaty, A.M.;. It was shown that the promoter of CBH1gene is classified as one of the strongest promoters (Beier et al, 2022). Meanwhile, EGI and EGII attack the cellulose polymer internally and represent more than 20% of the extracellular protein (Wood and McCrae, 1982;Miettinen-Oinonen and Suominen, 2002;Karkehabadi et al, 2008;Horn et al, 2012;Chokhawala et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

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Screening of Cellulase Genes and Degrading Activities of Trichoderma Asperellum via Solid-State Fermentation of Rice Straw and Sugarcane Bagasse

Zanaty

Ismaiel²,

Abdel-Lateif³

2022

Menoufia Journal of Agricultural Biotechnology

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PCR based on specific primers was employed for detection of important cellulase genes (CBH1, EGI and EGII genes) in the genomes of eighteen Trichoderma isolates recovered from Egyptian soil rich with the agricultural wastes. The Trichoderma asperellum (Tm4) isolate that exhibited the highest hydrolysis zone was selected for evaluation their cellulase activities via solid state fermentation on media supplemented with rice straw and sugarcane bagasse as sole carbon sources. The results showed that the highest FPase, CMCase, Xylanase activities were obtained when rice straw was used as sole carbon source as compared to sugarcane bagasse. In addition, the cellulase activities were better in each the untreated rice straw and sugarcane bagasse than the alkali pretreated rice straw and sugarcane bagasse. The C/N ratio was decreased, while the weight loss was increased in the treatments inoculated with Trichoderma as compared to control. Moreover, the pH values of each alkali pretreated rice straw and sugar cane bagasse were shifted toward the acidity. Meanwhile, the pH values of untreated rice straw were shifted toward alkali state.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Screening of Cellulase Genes and Degrading Activities of Trichoderma Asperellum via Solid-State Fermentation of Rice Straw and Sugarcane Bagasse

Zanaty

Ismaiel²,

Abdel-Lateif³

2022

Menoufia Journal of Agricultural Biotechnology

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“…A different approach to the enhancement of enzyme production using an MLM is illustrated in the work of Beier and co-workers, who used an MLM to associate a network of six selected genes with the induction of cellulase produced by Trichoderma reesei and thus establish the basis for overexpression of cellulase [228].…”

Section: Process Optimization (Enzyme Synthesis)mentioning

confidence: 99%

Machine Learning: A Suitable Method for Biocatalysis

Sampaio

Fernandes

2023

Catalysts

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Biocatalysis is currently a workhorse used to produce a wide array of compounds, from bulk to fine chemicals, in a green and sustainable manner. The success of biocatalysis is largely thanks to an enlargement of the feasible chemical reaction toolbox. This materialized due to major advances in enzyme screening tools and methods, together with high-throughput laboratory techniques for biocatalyst optimization through enzyme engineering. Therefore, enzyme-related knowledge has significantly increased. To handle the large number of data now available, computational approaches have been gaining relevance in biocatalysis, among them machine learning methods (MLMs). MLMs use data and algorithms to learn and improve from experience automatically. This review intends to briefly highlight the contribution of biocatalysis within biochemical engineering and bioprocesses and to present the key aspects of MLMs currently used within the scope of biocatalysis and related fields, mostly with readers non-skilled in MLMs in mind. Accordingly, a brief overview and the basic concepts underlying MLMs are presented. This is complemented with the basic steps to build a machine learning model and followed by insights into the types of algorithms used to intelligently analyse data, identify patterns and develop realistic applications in biochemical engineering and bioprocesses. Notwithstanding, and given the scope of this review, some recent illustrative examples of MLMs in protein engineering, enzyme production, biocatalyst formulation and enzyme screening are provided, and future developments are suggested. Overall, it is envisaged that the present review will provide insights into MLMs and how these are major assets for more efficient biocatalysis.

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“…Li et al ( 2012 ) screened the promoters of 13 carbon metabolic genes and found that pdc (encoding pyruvate decarboxylase) and eno (encoding enolase) promoters had higher efficiencies in glucose medium. Also, the cfe1 gene was found to be highly expressed under various conditions, and its promoter was used for gene overexpression in T. reesei (Beier et al 2022 ). Nevertheless, the efficiencies of constitutive promoters in T. reesei are generally much lower than those of cellulase gene promoters (Nakari-Setäläas & Penttilä, 1995 ).…”

Section: Introductionmentioning

confidence: 99%

Genetic engineering and raising temperature enhance recombinant protein production with the cdna1 promoter in Trichoderma reesei

Jiang

Wang

Liu

et al. 2022

Bioresour. Bioprocess.

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The fungus Trichoderma reesei is a powerful host for secreted production of proteins. The promoter of cdna1 gene, which encodes a small basic protein of unknown function and high expression, is commonly used for constitutive protein production in T. reesei. Nevertheless, the production level of proteins driven by this promoter still needs to be improved. Here, we identified that the region 600- to 700-bp upstream of the start codon is critical for the efficiency of the cdna1 promoter. Increasing the copy number of this region to three improved the production of a heterologous β-mannanase by 37.5%. Screening of several stressful conditions revealed that the cdna1 promoter is heat inducible. Cultivation at 37 °C significantly enhanced the production of β-mannanase as well as a polygalacturonase with the cdna1 promoter compared with those at 30 °C. Combing the strategies of promoter engineering, multi-copy gene insertion, and control of cultivation temperature, β-mannanase of 199.85 U/mL and relatively high purity was produced in shake flask, which was 6.6 times higher than that before optimization. Taken together, the results advance the understanding of the widely used cdna1 promoter and provide effective strategies for enhancing the production of recombinant proteins in T. reesei. Graphical Abstract

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Screening for genes involved in cellulase regulation by expression under the control of a novel constitutive promoter in Trichoderma reesei

Cited by 5 publications

References 65 publications

Screening of Cellulase Genes and Degrading Activities of Trichoderma Asperellum via Solid-State Fermentation of Rice Straw and Sugarcane Bagasse

Screening of Cellulase Genes and Degrading Activities of Trichoderma Asperellum via Solid-State Fermentation of Rice Straw and Sugarcane Bagasse

Machine Learning: A Suitable Method for Biocatalysis

Genetic engineering and raising temperature enhance recombinant protein production with the cdna1 promoter in Trichoderma reesei

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