Skip to main content

Enhancement of protein production in Aspergillus niger by engineering the antioxidant defense metabolism

Abstract

Background

Research on protein production holds significant importance in the advancement of food technology, agriculture, pharmaceuticals, and bioenergy. Aspergillus niger stands out as an ideal microbial cell factory for the production of food-grade proteins, owing to its robust protein secretion capacity and excellent safety profile. However, the extensive oxidative folding of proteins within the endoplasmic reticulum (ER) triggers ER stress, consequently leading to protein misfolding reactions. This stressful phenomenon results in the accelerated generation of reactive oxygen species (ROS), thereby inducing oxidative stress. The accumulation of ROS can adversely affect intracellular DNA, proteins, and lipids.

Result

In this study, we enhanced the detoxification of ROS in A. niger (SH-1) by integrating multiple modules, including the NADPH regeneration engineering module, the glutaredoxin system, the GSH synthesis engineering module, and the transcription factor module. We assessed the intracellular ROS levels, growth under stress conditions, protein production levels, and intracellular GSH content. Our findings revealed that the overexpression of Glr1 in the glutaredoxin system exhibited significant efficacy across various parameters. Specifically, it reduced the intracellular ROS levels in A. niger by 50%, boosted glucoamylase enzyme activity by 243%, and increased total protein secretion by 88%.

Conclusion

The results indicate that moderate modulation of intracellular redox conditions can enhance overall protein output. In conclusion, we present a strategy for augmenting protein production in A. niger and propose a potential approach for optimizing microbial protein production system.

Background

Aspergillus niger is distinguished by its notable safety profile, with numerous derivatives being recognized as Generally Regarded As Safe (GRAS) by the U.S. Food and Drug Administration [1, 2]. This microorganism exhibits an exceptional capacity for protein secretion, facilitating the synthesis of a broad spectrum of industrial enzymes, including glucoamylase, amylase, glucose oxidase, pectinase, peroxidase, phytase, xylanase, and cellulase [3]. Furthermore, it can grow in low-cost biomass sources, considerably lowering industrial production costs. These extraordinary characteristics establish A. niger as an ideal platform for the production of edible enzymes and food-grade proteins, emphasizing its critical significance in biotechnological applications.

A. niger, being an obligate aerobic organism, encounters the formation of superoxide anion radicals under aerobic conditions due to the incomplete reduction of molecular oxygen. These radicals can subsequently transform into hydrogen peroxide or other ROS, which possess a higher reactivity compared to molecular oxygen. Excessive accumulation of ROS disrupts intracellular homeostasis, potentially leading to the inactivation of proteins or enzymes, and can inflict oxidative damage on DNA and lipids, a phenomenon termed oxidative stress [4,5,6,7,8]. In eukaryotic cells, ROS predominantly originate from the mitochondrial respiratory chain, with mitochondrial electron transport enzymes, the NADPH oxidase complex, and external stressors such as radiation and chemical exposure, acting as principal contributors to ROS generation [9, 10].

In the context of high protein-producing strains of A. niger, an additional concern arises when the endoplasmic reticulum (ER) is burdened beyond its capacity. This overload hinders proteins from achieving their native conformation, resulting in the accumulation of unfolded proteins within the ER lumen, a condition known as ER stress [11]. ER stress triggers the unfolded protein response (UPR), a critical adaptive mechanism. Within the ER, the major enzymatic players in ROS production are protein disulfide isomerase (PDI) and ER oxidoreductin (ERO), which are instrumental in the formation of protein disulfide bonds [12]. ERO facilitates the transfer of electrons from PDI to the ER lumen through flavin adenine dinucleotide (FAD)-dependent reactions. Through a series of thiol-disulfide exchange reactions, electrons are transferred from PDI to molecular oxygen, leading to the incomplete reduction of oxygen and the consequent formation of superoxide anion radicals. These radicals may then be converted to hydrogen peroxide (H2O2) or other ROS, culminating in oxidative stress induced by protein folding within the ER [4, 13]. Notably, there is a significant correlation between the UPR and oxidative stress triggered by ROS, highlighting the intricate relationship between protein folding, oxidative stress, and cellular homeostasis in A. niger [14].

In fungi, diverse strategies have been elucidated to mitigate the detrimental effects of ROS, with Saccharomyces cerevisiae serving as the model organism where these mechanisms are most comprehensively characterized. S. cerevisiae employs a bifurcated antioxidant defense system, encompassing both enzymatic and non-enzymatic strategies [15]. The non-enzymatic defense apparatus primarily comprises antioxidant molecules that neutralize ROS or stabilize free radicals, thereby averting oxidative harm to biomolecules. Key antioxidant constituents include GSH [16, 17], ascorbic acid (vitamin C), and tocopherol (vitamin E), among others. These molecules engage with ROS or free radicals to prevent their interaction with biomolecules, safeguarding cellular integrity from oxidative damage. Conversely, the enzymatic defense system is predicated on the electron transfer among antioxidant enzymes to eradicate ROS. Predominant antioxidant enzymes include catalase (CAT), glutathione peroxidase (GPX), and superoxide dismutase (SOD). In the context of elevated intracellular ROS levels inducing oxidative stress, the antioxidative stress transcription factors Yap1 and Skn7 orchestrate a coordinated response [18, 19]. Yap1, upon activation, translocates to the nucleus to upregulate the expression of a cadre of antioxidant enzymes, such as SOD and GPX, in addition to genes integral to the glutamatergic exchange system and the thioredoxin reduction system, including thioredoxin reductase (Trr1) and glutathione reductase (Glr1). The genes products thus generated contribute to maintaining the cellular redox state [20, 21]. Skn7 primarily addresses hydrogen peroxide-induced stress, activating genes implicated in hydrogen peroxide detoxification (e.g., catalase [CAT]) and thioredoxin reductases [22, 23]. Additionally, Skn7 plays roles in cell wall synthesis and repair, as well as cell cycle regulation [24].

In this study, we used the antioxidant system in S. cerevisiae and protein structure comparison to understand the oxidative stress response mechanisms in A. niger. To better investigate these systems, we created multiple functional modules, including a NADPH regeneration module, a glutaredoxin system, a GSH synthesis module, and a transcription factor regulatory module. Our comprehensive analytical technique aided in the discovery of key genes involved in GSH metabolism, which are important in conferring oxidative stress resistance and increasing protein production in A. niger. This integrative technique not only offers light on eukaryotic oxidative stress regulation, but also identifies prospective targets for increasing protein yield in industrial microbes.

Material and methods

Strains, reagents, and culture conditions

Laboratory-conserved A. niger SH-1 (ΔpyrG) (The strain of A. niger SH-1 was derived from the strain of A. niger CICC2462 by classical mutagenesis.) serves as a host for gene expression. All strains were grown in Czapek-Dox media (CD) (including 0.05% agar powder). Before transformation, A. niger was cultured in the Dextrose Peptone Yeast extract media (DPY), and shake flask fermentations were conducted utilizing a specific fermentation medium [25]. For detailed compositions of all media used, please refer to the Supplementary Material (Table S1). Sterilization of all materials was achieved through autoclaving at 115 °C for 20 min. The A. niger employed in our study is cataloged in Table 1. Cultivation conditions for all strains involved growth at 30 °C in CD medium for initial culture, followed by incubation in either DPY medium or the designated fermentation medium under a constant agitation of 220 rpm.

Table 1 A. niger used in this study

Construction of recombinant plasmids and construction of recombinant strains

The plasmids for expression cassettes and CRISPR/Cas9 utilized in this study are delineated in the Supplementary Material (Fig. S1). The repair template's open reading frame was synthesized using the genomic DNA of the P-WT strain as the template for the expression cassette vector. This template was amplified employing PrimeSTAR® Max DNA Polymerase (Takara, Japan). Subsequent ligation of the vector was performed using the Seamless Assembly cloning kit (CloneSmarter, USA), adhering strictly to the guidelines provided by the manufacturer. The resultant vector was then introduced into E. coli Mach1 T1 cells, and plasmids were isolated utilizing the Plasmid Extraction Kit (Magen, Guangzhou, China) before the transformation process. For detailed visualization of the cas9 plasmid pFC332-02 g construction, targeting the integration site, refer to the schematic diagram presented in the Supplementary Material (Fig.S1). The integration of the A. niger genome, devoid of any labels, was executed as follows: the initial strain was converted into protoplasts through enzymatic digestion. These protoplasts were then meticulously washed, and a combination of pFC332-02 g and the repair template was introduced at a molar ratio of 1:10 (Fig. S2). Screening of the transformants was conducted on plates infused with thaumatin. The integration of tags into the genome was facilitated by the addition of ribonucleoprotein complexes (RNPs) [26] along with 50–100 μg of a repair template (Fig. S2). Given that the repair template is pre-tagged with pyrG (The source of this tagged gene is Aspergillus nidulans FGSC A4 and the Fungi DB accession number is AN6157.), transformants were efficiently screened utilizing hypertonic CD plates [27]. In this study, the genomic locus targeted by the RNPs is delineated between genes An17g00730 and An17g00740. Concurrently, the insertion site for the plasmid pFC332-02 g is demarcated between genes An02g08020 and An02g08030. The guide RNAs (gRNAs) (Table S2) specific to these sites were meticulously predicted and designed employing the CRISPR RGEN Tool (available at http://www.rgenome.net/cas-offinder/), with the last access dated December 15, 2022.

Assessment of phenotypic responses under exogenous pressure

The strains were incubated in a CD liquid medium devoid of agar at a constant temperature of 30 °C for a duration ranging from 7 to 14 days. Subsequently, a specified volume of the culture with an optical density (OD600) of 1 was homogenized. From this homogenate, 10 μl aliquots were inoculated onto CD agar plates that had been pre-supplemented with varying concentrations of the exogenous agent. The resultant phenotypic manifestations and growth patterns were meticulously observed following static incubation for three days at 30 °C.

Quantitative analysis of intracellular ROS and GSH levels

Mycelia of A. niger in their exponential growth phase were harvested through filtration and subjected to multiple washes with both water and phosphate-buffered saline (PBS) solutions, respectively, to ensure complete removal of the growth medium. Mycelia were dried overnight at 60 ℃ [19]. To facilitate the detection of intracellular ROS, a precise mass of 0.0500 g of mycelium was measured. The DCFH-DA probe, obtained from Solarbio's ROS detection kit (Solarbio, Beijing, China), was diluted 2000-fold for the assay. Fluorescence microscopy was employed for detection, with excitation and emission wavelengths set at 488 nm and 525 nm, respectively. For the quantification of GSH, the DTNB (5,5'-dithio-bis-(2-nitrobenzoic acid)) method was employed. Mycelia were dried overnight at 60 ℃. Specifically, 0.1000 g of the mycelium was accurately weighed and homogenized in 1 ml of GSH Content Assay Reagent 1 (Solarbio, Beijing, China) using liquid nitrogen. Following thorough grinding, the sample was centrifuged at 8000 g for 10 min at 4 °C. Subsequently, Reagent 2 and Reagent 3 from the kit were added in sequence, and the mixture was allowed to stand at room temperature for 2 min before the absorbance was measured at 412 nm. The experiments were performed in triplicate.

Determination of glucoamylase activity and total protein level

The strains were cultured in a fermentation medium at 30 °C with an agitation speed of 220 rpm for 7 days. Following incubation, the cultures were centrifuged at 12,000 rpm for 10 min at ambient temperature to collect the clear supernatant containing the fermentation broth. The activity of glucoamylase in the supernatant was quantitatively assessed using a spectrophotometric method, employing p-nitrophenyl-α-D-glucopyranoside (pNPG) as the substrate [28]. Total extracellular proteins in culture supernatants were determined using the BCA Protein Assay Kit (GBCBIO, Guangzhou, China) according to the manufacturer’s manual. Enzyme activity assays were performed in triplicate.

RNA extraction and transcriptome sequencing

The mycelium of A. niger was harvested at the designated index period, employing the methodology delineated earlier, and was immediately frozen in liquid nitrogen. After thorough pulverization, total RNA was isolated using the HiPure Fungal RNA Kit (Magen, Guangzhou, China), in strict accordance with the manufacturer's protocols. The isolated RNA was then reverse-transcribed utilizing the PrimeScript RT-PCR Kit (TaKaRa, Japan) [29]. Transcriptome sequencing was conducted on the Illumina HiSeq™ platform at Sangon Bioengineering (Sangon, Shanghai, China). The generated sequencing datasets underwent rigorous quality evaluation and analysis to ensure the integrity and reliability of the transcriptomic insights.

Results

Engineering the antioxidant defense metabolism to detoxify ROS in A. niger

To study antioxidant defense metabolism to detoxify ROS in response to intracellular oxidative stress in A. niger, we annotated the function genes of the antioxidant defense metabolism of A. niger from homologous genes of S. cerevisiae's antioxidant system by the method of the protein BLAST (Fig. 1). We categorized the antioxidant system of A. niger into several distinct components, which can be simplified as follows: ROS generated in the ER or mitochondria are first converted into hydrogen peroxide by SOD. This hydrogen peroxide then activates the transcription factor Yap1 (An11g07980). Yap1, in turn, induces the expression of its downstream target proteins, including peroxidase and SOD. Additionally, Yap1 regulates both the GSH and thioredoxin systems. Within the glutathione system, GSH plays a pivotal role in maintaining ER homeostasis. Therefore, we included the GSH synthesis pathway in our analysis, which encompasses GSH1 (An02g09720), GSH2 (An09g03030), MetG (An14g00930), and MecB (An16g08720). The systems regulated by Yap1 are dependent on NADPH for their activity, represented in the figure by NAD kinase (An03g05090). Consequently, we segmented this system into the following components: NADPH regeneration engineering module, glutaredoxin system, GSH synthesis engineering module, and transcription factor module.

Fig. 1
figure 1

Antioxidant defense metabolism to detoxify ROS in response to intracellular oxidative stress in A. niger. The function genes of the antioxidant defense metabolism in the genome of A. niger CBS513.88 were annotated from homologous genes of S. cerevisiae's antioxidant system by the method of the protein BLAST. Simplified illustration of the antioxidant defense mechanism of A. niger in response to intracellular oxidative stress which is generated from the source of ROS in the endoplasmic reticulum and mitochondria. The antioxidant defense metabolism divided into four modules: NADPH regeneration, glutaredoxin system, GSH synthesis system, and transcription factor regulation. The NADPH regeneration module principally supports the provision of NADPH in A. niger through the pentose phosphate route and NAD kinase. An11g07980 (Yap1) and An06g01690 (Skn7) activate the system (GS) and thioredoxin system (TS), which coordinate transcriptional regulation. The genes overexpressed in this present study are highlighted in bold

Engineering the antioxidant defense metabolism to improve protein secretion in A. niger

To enhance the ability of A. niger to detoxify ROS, we focused on strengthening key metabolic modules, including the glutaredoxin system, NADPH regeneration, transcription factor regulation, and UPR. This resulted in the generation of mutants N1 to U3, each overexpressing specific functional genes as detailed in Table 1. By quantifying the endogenous ROS levels in the strains, we observed a significant reduction in ROS content in the mutants. Particularly, the N1 mutant overexpressing NAD kinase showed ROS levels that were 15% of those of the wild type (WT) (Fig. 2A). Mutants related to glutathione biosynthesis (G1–G4), with overexpression of gamma-glutamylcysteine synthetase GSH1 in the G1 mutant, showed an 18% reduction in ROS levels compared to the WT. Mutants related to the glutaredoxin system (GS1–GS5), with overexpression of glutathione reductase Glr1 (An03g03660) in the GS1 mutant, showed a reduction of approximately 52% in ROS levels compared to the WT. Additionally, the T1 mutant overexpressing the transcription factor Yap1 showed a 31% reduction in ROS levels compared to the WT. It is worth noting that the overexpression of glutaredoxin had a minor impact on ROS regulation, with OEGrx2 (mutant strains overexpressing An15g03220) leading to an increase in ROS levels. Mutants related to the UPR mechanism showed a 26–47% reduction in ROS levels compared to the WT (Fig. 2A). Furthermore, experiments involving mutants with co-overexpression of glutathione reductase Glr1, NAD kinase (An03g05090), and transcription factor Yap1 were conducted. Evaluation of ROS levels in these recombinant strains showed that compared to the WT, these strains had ROS levels that were 1.55 to 1.78 times higher (Fig. 2A).

Fig. 2
figure 2figure 2

Engineering antioxidant defense metabolism in A. niger increased the amount of protein secreted. A The intracellular ROS levels in the A. niger and its mutants were determined with Solarbio's ROS detection kit and the DCFH-DA probe. The ROS level in the WT was used as the control and the ROS levels of the mutants were compared with that of the WT. The FungiDB accession numbers for these strains are listed in Table 1. B The growth morphology of mutant strains on agar plates at series H2O2 concentrations ranging from 4.5 to 12 mM, and the WT as control, demonstrating the differential oxidative stress resilience conferred by modified modules. A red arrow has been added at the 9 mM concentration in the figure to highlight the significant growth differences observed between the wild type (WT) and the overexpression strains at this concentration. C The glucoamylase (GlaA) is the main representative of extracellular secreted proteins in A. niger. The glucoamylase enzyme activity for all strains was measured using the p-nitrophenyl-β-D-glucopyranoside (pNPG) assay. The activity of the WT was used as a control for normalization. D Total secreted protein levels were determined for all mutant strains using the BCA method and were set at 1 for the WT. E The amount of the secreted proteins from A. niger mutants was determined using sodium dodecyl sulfate–polyacrylamide gel electrophoresis (SDS-PAGE). In the SDS-PAGE figure, 10 µl of sample was loaded onto the gel when the number of samples was less than 10. Conversely, when the number of samples exceeded 10, 5 µl of the sample was loaded onto the gel.The SDS-PAGE plot of Marker using PageRuler 26616 (Thermo Fisher) with molecular weights ranging from 180 to 15 kDa. The gels show the locations of important secreted proteins from A. niger, including glucoamylase (GlaA), acid amylase (AamA), and neutral amylase (AmyA). The numerical identifiers before the gene names for overexpressing strains identify the respective modules: 'N' for the NADPH regeneration engineering module, 'GS' for the glutaredoxin system, 'G' for the glutathione synthesis engineering module, 'T' for the transcription factor regulation module, and 'U' for the UPR module

To assess the strains' ability to detoxify ROS, the growth morphology on solid media supplemented with various exogenous oxidative stressors was measured (Fig. 2B). Mutants were cultured on solid CD media containing varying concentrations of H2O2 and methyl menadione sodium bisulfite (MSB). While the WT and overexpressing strains exhibited different growth responses to these stressors, overall, mutants showed enhanced resistance, performing better than the WT under certain conditions. Specifically, the WT exhibits normal growth at a 6 mM H2O2 concentration, but its growth is compromised at higher concentrations. Notably, at the 9 mM concentration, significant growth differences are observed between the WT and the overexpression strains. Similarly, the WT experienced growth inhibition at concentrations ranging from 1.5 to 12 mM MSB, while overexpressing strains showed improved growth performance, albeit with significant inhibition compared to the WT (Fig. S3). We assayed intracellular ROS levels and cultured the strain on solid plates with externally added oxidative stress to identify genes suitable for modulating the intracellular redox state of A. niger, specifically focusing on the transcription factor Yap1 and the NAD kinase An03.

To investigate the impact of the enhanced antioxidant capacity of A. niger on its protein secretion, we evaluated glucoamylase activity across all strains (Fig. 2C). The total secreted protein content of all mutant strains was examined using the BCA method (Fig. 2D), and the secreted protein levels were characterized by SDS-PAGE (Fig. 2E). Various overexpression strains demonstrated distinct abilities in modulating protein secretion dynamics. Compared to the WT, overexpression of NAD kinase increased glucoamylase activity to 312% of the WT and elevated total secretory protein levels to 175% of the WT. Notably, the overexpression of Grx1 (An04g00150) and Grx4 (An18g04790) led to a reduction of 18% in glucoamylase levels, while simultaneously elevating total protein secretion levels by 31% and 39%, respectively. Particularly noteworthy was the profound impact of Glr1 (An03g03660), which not only elevated glucoamylase activity to 3.43-fold of the WT, but also augmented total protein levels to 1.88-fold of the WT, demonstrating the most significant effect among all genes studied. Elevated expression of the glutathione synthesis module resulted in increased glucoamylase enzyme activity (Fig. 2C), with MetG (An14g00930) increased glucoamylase enzyme activity by 200% and total protein levels by 69% compared to the WT. Transcription factor Yap1 and its regulatory proteins demonstrated differential effects on glucoamylase enzyme activity and total protein levels upon overexpression. Yap1 overexpression resulted in a 3.15-fold increase in glucoamylase activity of the WT and a 1.68-fold increase in total protein of the WT. Conversely, GpxA (An02g08110) and Sod2 (An04g04870) significantly reduced glucoamylase activity while elevating total protein to 1.25-fold and 1.27-fold of the WT, respectively. Mutant strains with up-regulated UPR pathway-related genes exhibited no significant alterations in glucoamylase activity or total protein secretion levels compared to the WT (Fig. 2C, D). In contrast, OEHacA (mutant strains overexpressing An01g00160) displayed decreased secreted protein levels, with 53% of glucoamylase activity and 7% of total protein compared to the WT. Our findings revealed that the co-expression of a substantial number of significantly up-regulated genes resulted in a multimutant strain with a slight increase in glucoamylase enzyme activity. When Glr1 and Yap1 were co-expressed, glucoamylase enzyme activity increased to 152% of the WT, and total secretory protein levels increased to 127% of the WT (Fig. 2C, D). Despite this, this combination was one of the most effective among those tested. In contrast, when all three genes were simultaneously overexpressed, glucoamylase levels increased to 116% of the WT, and total secretory protein levels increased to 118% of the WT. Our findings illustrate that reducing intracellular ROS levels can significantly enhance the secretion levels of total protein in A. niger through the overexpression of individual genes. Notably, the overexpression of Glr1 emerged as the most efficacious, amplifying glucoamylase enzyme activity by 243% and total protein secretion by 88%. The overexpression of An03 and Yap1 also yielded substantial enhancements. Nonetheless, the simultaneous co-expression of these three genes did not yield the anticipated reduction in ROS levels. Instead, it led to a substantial decline in protein secretion levels, markedly inferior to the outcomes observed with the overexpression of individual genes.

Studies on GSH changes during protein synthesis and secretion in A. niger

To elucidate the role of GSH content in the protein secretion capability of A. niger, we investigated the intracellular GSH content in both high-expression strains (N1, GS1, and T1) and mutant strains overexpressing GSH synthase (G1-G4). Our analysis revealed that a moderate elevation in GSH content facilitates protein secretion, whereas an excessive augmentation adversely affects the secretion levels. We found that overexpression of An03 increased the intracellular GSH content of A. niger up to 5.49-fold of the WT, overexpression of Glr1 increased GSH content up to 2.58-fold of the WT, and overexpression of Yap1 resulted in a GSH content up to 3.54-fold of the WT (Fig. 3). However, intracellular GSH content was significantly increased in the multiple combination strains of these three genes, with GSH content exceeding 8.41-fold of the WT in all three multiple combination strains, and reaching 10.93-fold of the WT in the strain expressing all three genes simultaneously. Surprisingly, the significant increase in GSH did not promote protein secretion (Fig. 2C, D), nor did it reduce ROS levels (Fig. 2A), but instead elevated ROS levels. Overexpression of GSH1 in the GSH synthesis pathway increased intracellular GSH content up to 4.11-fold of the WT, while overexpression of the remaining three genes, GSH2, MetG, and MecB, resulted in GSH increases up to 5.93-fold, 5.21-fold, and 5.62-fold, respectively, of the WT. Our findings indicate that in A. niger, both glucoamylase activity and overall protein secretion levels in the SH-1 strain were significantly enhanced upon elevating the GSH content to 2.58–5.93 times that of the WT. However, our data show that when GSH levels were elevated to more than 8.42 times that of the WT, both glucoamylase enzyme activity and total secretory protein levels were significantly reduced, despite a slight increase compared to the WT. This observation suggests that excessive GSH concentrations may have a deleterious effect on enzyme activity and protein secretion, indicating an optimal threshold for GSH that supports cellular function without hindering biochemical processes.

Fig. 3
figure 3

Comparative analysis of intracellular GSH content in recombinant A. niger strains. This graph depicts the intracellular GSH concentration of strains overexpressing Glr1 (OEGlr1), Yap1 (OEYap1), An03 (OEAn03), and their respective multi-gene combinations, as well as strains designed to overexpress GSH1 (OEGSH1), GSH2 (OEGSH2), MetG (OEMetG), and MecB (OEMecB). The GSH content of the WT is normalized to 1, which serves as a baseline for comparison

Genome-wide transcriptional differences under reduced intracellular oxidative stress

To elucidate the transcriptional alterations associated with reduced intracellular oxidative stress, we conducted transcriptome sequencing of the WT and genetically modified strains of A. niger: overexpressors of Glr1 (OEGlr1), An03 (OEAn03), and Yap1 (OEYap1). Previous studies have demonstrated that alleviating intracellular oxidative stress enhances both glucoamylase activity and the total secretion of proteins in A. niger SH-1. Accordingly, we analyzed the transcriptional profiles of common secretory proteins (enzymes) in A. niger based on their Fragments Per Kilobase per Million (FPKM) values (Fig. 4A). Enzymes analyzed included amyR (An04g06910), glaA (An03g06550), amyA (An12g06930), aamA (An11g03340), and agda (An04g06920). Our findings show that overexpression of Glr1 markedly increases the transcription levels of these proteins. Similarly, OEAn03 significantly upregulates the transcription of glaA, a pattern also observed with OEYap1. Furthermore, we identified genes in A. niger associated with ROS production (Fig. 4B), including components of mitochondrial electron transport chain complexes I–III (including An08g04240, An02g12770, An02g01830, etc.), and their precursors or cofactors, NADPH oxidase (An11g08510, An08g10000), endoplasmic reticulum oxidoreductase (An16g07620), and disulfide bond isomerase (An02g14800) (Fig. 4B). Transcriptional profiling indicated that Glr1 overexpression leads to a substantial downregulation of ROS-generating genes. Conversely, overexpression of NAD kinase diminishes transcript levels of genes associated with complexes I and III, while paradoxically increasing those of complex II. Overexpression of Yap1 upregulates transcript levels of complexes I-III without inhibiting ROS production at the transcriptional level. From these transcriptional profiles, it is evident that reducing intracellular oxidative stress enhances protein transcription. To further investigate, we generated knockout strains for Glr1, An03, and Yap1, designated as ΔGlr1, ΔAn03, and ΔYap1, respectively. Post-fermentation determination ((Fig. 4C–E)) revealed that ΔAn03 exhibited the most pronounced changes, with a 31% reduction in glucoamylase activity and a 56% decline in total secreted protein levels. Additionally, the ROS level in ΔAn03 increased by 116%. The outcomes in the other two knockout strains were more similar; however, the glucoamylase activity of ΔYap1 remained comparable to that of the WT.

Fig. 4
figure 4

RNA-Seq analysis of WT, OEGlr1, OEAn03 and OEYap1. A Delineates the expression profiles of common secreted proteins in A. niger, such as glaA, amyA, and aamA. B Delineates the expression profiles of ROS-producing genes in A. niger. C Intracellular ROS levels in A. niger strains with the knockout of Glr1, An03 and Yap1. D Glucoamylase activity of A. niger strains with the knockout of Glr1, An03 and Yap1. E Total secretory protein levels in A. niger strains with the knockout of Glr1, An03 and Yap1. F Shows the enrichment in OEYap1 and OEGlr1, with the vertical axis denoting function annotation information and the horizontal axis representing the Rich factor. The Rich factor is determined by dividing the number of differentially expressed genes ascribed to a certain function by the total number of genes annotated to that function. The color intensity of each dot is proportional to the Q-value magnitude; a lower Q-value produces a color closer to red. Furthermore, the dot size represents the number of differentially expressed genes for each function. To ensure clarity, only the top 30 Gene Ontology (GO) terms with the highest enrichment degree were plotted

The Gene Ontology (GO) analysis revealed significant functional enrichments for OEYap1 and OEGlr1, as depicted in the scatter plots (Fig. 4F). Specifically, in the comparison between OEYap1 and the WT, a notable enrichment was observed in pathways such as GO:0044281 (small molecule metabolic process), along with oxidoreductase activity, oxidation–reduction process, carboxylic acid metabolic process, oxoacid metabolic process, and organic acid metabolic process, indicating a high number of differentially enriched gene sets in these pathways. Conversely, OEGlr1 showed a distinct enrichment profile, with a higher prevalence in catalytic activity, mitochondrial localization, and small molecule metabolic processes. This enrichment highlights the potential influence of these genetic alterations on A. niger's metabolic landscape, particularly in terms of increasing its capacity for small molecule metabolism and oxidation–reduction activities. Catalytic activity and small molecule metabolic pathways were all significantly enriched in the OEGlr1. Comparable findings were observed with OEAn03, with comprehensive results available in the Supplementary Material (Fig. S4). Collectively, our findings suggest that overexpression of Yap1 mitigates ROS through the activation of antioxidant downstream proteins, differing fundamentally from the mechanism employed by Glr1. Specifically, Glr1 overexpression decreases ROS levels by downregulating genes involved in ROS production. Moreover, Glr1 significantly reduces the mitochondrial energy supply, which is compensated by an enhancement of the cell's overall catalytic activity and the metabolism of small molecules. In contrast, overexpression of An03 appears to be linked with the stimulation of intracellular vesicular transport and secretion mechanisms.

Discussion

A. niger is renowned for its exceptional capacity to produce industrial enzymes, serving as an exemplary fungal cell factory. The augmentation of protein production, with a particular emphasis on glucoamylase, has traditionally focused on strategies such as gene amplification, the deployment of strong promoters, and the engagement of molecular chaperones [30,31,32]. In employing the aforementioned strategy, there is an inherent increase in stress on the ER, as protein folding constitutes a critical juncture in the secretory pathway. Only proteins that are correctly folded can be secreted extracellularly, whereas misfolded proteins are targeted for degradation into amino acids via the ER-associated degradation (ERAD) pathway [33, 34]. Protein folding demands substantial quantities of redox agents, the utilization of which generates ROS as a byproduct. Excessive accumulation of ROS can induce ER stress and trigger the UPR, which strives to restore ER functionality by diminishing protein synthesis, enhancing protein degradation, and facilitating protein folding. However, the activation of the UPR might also contribute to further ROS production [35, 36], and sustained ER stress can lead to cell death if the UPR is unable to rectify the protein folding disruptions, a situation potentially exacerbated by ROS accumulation. Previous studies, such as those by Marizela et al., have successfully mitigated the metabolic burden and cellular stress associated with high oxidative loads during protein folding [37]. This was achieved by modulating the antioxidant capacity in Pichia pastoris, thereby reestablishing suitable redox conditions and enhancing secretory capacity. Building on these insights, the present study utilized the highly glucoamylase-secreting A. niger SH-1 strain (ΔpyrG) as the foundational model. This choice was driven by our aim to investigate whether reducing intracellular oxidative stress could amplify the strain’s protein secretion capabilities. In this study, we identified and described a cohort of genes implicated in the oxidative stress response of A. niger using comparative analysis of protein structures. Current studies indicate that under oxidative stress conditions, such as the presence of H₂O₂, the transcription factor Yap1 undergoes conformational changes to form disulfide bonds and aggregates in the nucleus. This aggregation facilitates the activation of genes encoding downstream antioxidant enzymes and molecular chaperones, including superoxide dismutase and glutathione peroxidase. In addition to the aforementioned downstream proteins, Yap1 also orchestrates the regulation of the glutaredoxin and thioredoxin systems. The glutaredoxin system utilizes NADPH to convert GSSG to GSH. GSH can function within the mitochondria and endoplasmic reticulum. Furthermore, GSH plays a dual role by directly interacting with ROS in a non-enzymatic manner, highlighting the importance of the GSH synthesis pathway in cellular defense mechanisms. So, we deconstructed it into four distinct modules: NADPH regeneration engineering, glutaredoxin system, GSH synthesis engineering, and transcription factor regulation. Additionally, given the significant correlation between the UPR and the antioxidant system, we also investigated the UPR module. We systematically examined the impact of overexpressing these genes in recombinant strains, examining multiple parameters including intracellular ROS levels, growth under oxidative stress, protein production, and GSH level.

Initial tests focused on intracellular ROS, which revealed that overexpression often reduced ROS levels. Remarkably, most of the recombinant strains succeeded in diminishing intracellular ROS levels, with the strain overexpressing NAD kinase (An03) achieving the most significant reduction (Fig. 2A). NAD kinase is essential for maintaining intracellular levels of reduced NADPH by catalyzing the conversion of NAD+ to NADPH, one of the major intracellular reductants that plays a central role in the intracellular antioxidant defense system.

Interestingly, ROS levels increased in the OEGrx2, despite its close homolog possessing glutathione disulfide oxidoreductase activity, yet the precise mechanism remains elusive. Additionally, we identified that genes associated with the UPR contribute to the reduction of ROS levels, potentially due to a decreased need for protein folding, thereby conserving ATP for disulfide bond formation, because the accurate folding of nascent polypeptides is dependent on the ATP-fueled actions of molecular chaperones and disulfide bond isomerases [38]. This insight suggests a link between reduced oxidative stress and the optimization of protein folding processes within the cell. A. niger B1-D was exposed to sub-lethal concentrations of hydrogen peroxide, which resulted in growth retardation as well as upregulation of antioxidant defenses such as superoxide dismutase, catalase, glutathione peroxidase, and glutathione reductase [39]. Cultivation of the recombinant strains on solid media containing hydrogen peroxide and MSB revealed a significant increase in resilience to exogenous oxidative stress compared to the WT counterparts, highlighting the protective benefit supplied by the overexpressed antioxidant genes. Notably, the OEYap1 distinguished itself by demonstrating the most pronounced stress resistance, as demonstrated by its performance on selective media under stress conditions.

We explored the protein secretion capabilities of various overexpressed strains, given the extensive and complex nature of secreted proteins by A. niger. We selected the SH-1 strain, known for its high glucoamylase production, as a representative marker for assessing secreted enzyme activity. Our findings indicated a reduction in enzyme activity for the strain overexpressing the UPR transcription factor HacA, aligning with previous reports [40]. Overexpression of PdiA and EROA did not markedly enhance enzyme activity. Among the components of the glutathione reduction system [41], Glr1 and An03 emerged as significant contributors to enzyme activity enhancement. Glr1, by utilizing NADPH as an electron donor, facilitates the reduction of GSSG to two GSH molecules, thereby replenishing GSH for its antioxidant functions [42]. The expression of Glr1 has been demonstrated to safeguard proteins against ROS-induced oxidative damage by activating multiple pathways, thus enhancing both proteostasis and redox homeostasis in yeast cells [43]. Our laboratory's prior work has established that overexpression of An03 notably boosts glucoamylase activity [28]. Remarkably, overexpression of An03 at the amyA site of the A. niger genome resulted in a glucoamylase enzyme activity that was 1.7-fold that of the starting strain, altering the insertion site resulted in the glucoamylase activity reaching 312% of the WT, a finding corroborated by both transcriptomic analyses and protein gel electrophoresis. The transcriptome analysis revealed that the gene encoding glucoamylase, glaA, was transcribed at exceptionally high levels (see Fig. 4A). Despite this, the enzyme activity did not surpass that observed with overexpression of Glr1. This discrepancy may be attributed to the dynamics of gene copy number and cellular capacity. Specifically, introducing an additional copy of the glaA gene effectively enhances its transcriptional activity, potentially increasing the production of glucoamylase in A. niger [30]. However, overloading the host cell with excessive copies of glaA may inadvertently impede the overall production of glucoamylase [44], suggesting a complex interplay between gene dosage and cellular processing capabilities. This finding underscores the need to balance gene expression and cellular capacity to optimize enzyme production.

The constitutive co-overexpression of PpYAP1 in P. pastoris significantly elevates the level of secreted recombinant proteins, due to the overexpression of this transcription factor [37]. Yap1 overexpression affects GSH accumulation at both its biosynthesis and substrate availability levels [45]. Our current experiments show that constitutive overexpression of Yap1 not only significantly increased protein secretion, but also effectively reduced intracellular levels of ROS and increased intracellular GSH concentrations. These findings emphasize Yap1 overexpression's potential as a strategic tool for optimizing recombinant protein production in yeast systems, as it increases both the output of secreted recombinant proteins and the cellular antioxidant capacity. Enhancements in glutathione biosynthesis within brewer's yeast have previously been reported to bolster the resilience of lignocellulosic materials pre-treated for bioconversion, particularly against inhibitors [46]. In our study, overexpression of Yap1 in A. niger enhanced the strain's resistance to oxidative stress, increased GSH content, and also enhanced protein secretion levels. By overexpressing the genes GSH1, GSH2, MetG, and MecB in the SH-1, we achieved a notable increase in glucoamylase activity, surpassing 2.35-fold that of the WT in the recombinant variant. Furthermore, our investigation into the synergistic effects of gene overexpression, we discovered that ROS levels were considerably higher in strains with multigene recombinations than those with single-gene overexpression. This significant increase in GSH levels in multigene recombinant strains modify the proteins' redox status. Such changes may aggravate oxidative stress, negatively impacting protein folding and stability (Fig. 2A). Furthermore, the likelihood of S-glutathionylation of proteins in these settings may have an impact on protein functionality, implying a complicated interplay between high GSH levels and protein biochemistry that requires additional exploration [41, 47,48,49].

Our findings revealed that adjusting intracellular GSH levels could significantly increase the secretory output of A. niger proteins. This optimization entails glutathione reductase (Glr1) enzymatically reducing GSSG to GSH while An03 simultaneously provides NADPH to match the metabolic demands of this redox system, both of which are critical for the effective conversion of GSSG. Furthermore, expanding the GSH biosynthesis route is another promising method for increasing protein secretion. However, it is important to note that an excess of GSH over the ideal threshold causes a perceptible decrease in A. niger protein secretion, demonstrating the need for a balanced approach to adjusting GSH levels to attain maximum secretory efficiency. This finding underscores the delicate balance required in the redox environment for optimal protein folding and secretion in A. niger, highlighting the complex interplay between gene overexpression and cellular biochemical pathways [37].

Conclusion

In this study, we successfully delineated genes involved in the conversion and synthesis of GSH by specifically overexpressing antioxidant genes, revealing their significant influence on protein secretion—most notably, the secretion of glucoamylase in the SH-1 strain. While direct GSH synthesis did not considerably lower ROS, GSH conversion genes significantly reduced intracellular ROS concentrations. Glr1 proved to be the most effective of them, primarily targeting GSSG and so effectively altering the intracellular GSH/GSSG balance. This modification significantly boosted GSH availability, consequently reinforcing A. niger's antioxidant defenses and increasing enzyme productivity through better protein production. Notably, Glr1 overexpression increased glucoamylase activity significantly, demonstrating the value of targeted genetic interventions in fine-tuning biochemical pathways for enzyme synthesis in the industrial setting. Our findings highlight the critical importance of selective antioxidant gene alteration in increasing enzyme yields and establish the framework for future research into the genetic optimization of microbial strains for increased production of commercially important enzymes. This discovery has great potential for developing biotechnological applications and optimizing industrial operations.

Availability of data and materials

All data generated or analyzed during this study are included in this published article and its Additional file.

Abbreviations

WT:

Wild type

ER:

Endoplasmic reticulum

ROS:

Reactive oxygen species

UPR:

Unfolded protein response

MSB:

Menadione sodium bisulfite

FPKM:

Fragments per kilobase per million

References

  1. Dong L, Lin X, Yu D, Huang L, Wang B, Pan L. High-level expression of highly active and thermostable trehalase from Myceliophthora thermophila in Aspergillus niger by using the CRISPR/Cas9 tool and its application in ethanol fermentation. J Ind Microbiol Biotechnol. 2020;47:133–44.

    Article  CAS  PubMed  Google Scholar 

  2. Li C, Zhou J, Du G, Chen J, Takahashi S, Liu S. Developing Aspergillus niger as a cell factory for food enzyme production. Biotechnol Adv. 2020;44: 107630.

    Article  CAS  PubMed  Google Scholar 

  3. Cairns TC, Nai C, Meyer V. How a fungus shapes biotechnology: 100 years of Aspergillus niger research. Fungal Biol Biotechnol. 2018;5:13.

    Article  PubMed  PubMed Central  Google Scholar 

  4. Apel K, Hirt H. Reactive oxygen species: metabolism, oxidative stress, and signal transduction. Annu Rev Plant Biol. 2004;55:373–99.

    Article  CAS  PubMed  Google Scholar 

  5. Aguirre J, Rios-Momberg M, Hewitt D, Hansberg W. Reactive oxygen species and development in microbial eukaryotes. Trends Microbiol. 2005;13:111–8.

    Article  CAS  PubMed  Google Scholar 

  6. Kultz D. Molecular and evolutionary basis of the cellular stress response. Annu Rev Physiol. 2005;67:225–57.

    Article  PubMed  Google Scholar 

  7. Herrero E, Ros J, Belli G, Cabiscol E. Redox control and oxidative stress in yeast cells. Biochem Biophys Acta. 2008;1780:1217–35.

    Article  CAS  PubMed  Google Scholar 

  8. Aguirre J, Hansberg W, Navarro R. Fungal responses to reactive oxygen species. Med Mycol. 2006;44:S101–7.

    Article  CAS  PubMed  Google Scholar 

  9. Meares GP, Hughes KJ, Naatz A, Papa FR, Urano F, Hansen PA, Benveniste EN, Corbett JA. IRE1-dependent activation of AMPK in response to nitric oxide. Mol Cell Biol. 2011;31:4286–97.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  10. Schieber M, Chandel NS. ROS function in redox signaling and oxidative stress. Curr Biol. 2014;24:R453-462.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  11. Wan S, Jiang L. Endoplasmic reticulum (ER) stress and the unfolded protein response (UPR) in plants. Protoplasma. 2016;253:753–64.

    Article  CAS  PubMed  Google Scholar 

  12. Matsusaki M, Kanemura S, Kinoshita M, Lee YH, Inaba K, Okumura M. The protein disulfide isomerase family: from proteostasis to pathogenesis. Biochim Biophys Acta Gen Subj. 2020;1864: 129338.

    Article  CAS  PubMed  Google Scholar 

  13. Okumura M, Noi K, Kanemura S, Kinoshita M, Saio T, Inoue Y, Hikima T, Akiyama S, Ogura T, Inaba K. Dynamic assembly of protein disulfide isomerase in catalysis of oxidative folding. Nat Chem Biol. 2019;15:499–509.

    Article  CAS  PubMed  Google Scholar 

  14. Santos CX, Tanaka LY, Wosniak J, Laurindo FR. Mechanisms and implications of reactive oxygen species generation during the unfolded protein response: roles of endoplasmic reticulum oxidoreductases, mitochondrial electron transport, and NADPH oxidase. Antioxid Redox Signal. 2009;11:2409–27.

    Article  CAS  PubMed  Google Scholar 

  15. Zhao H, Chen J, Liu J, Han B. Transcriptome analysis reveals the oxidative stress response in Saccharomyces cerevisiae. RSC Adv. 2015;5:22923–34.

    Article  CAS  Google Scholar 

  16. Ilyas S, Rehman A. Oxidative stress, glutathione level and antioxidant response to heavy metals in multi-resistant pathogen, Candida tropicalis. Environ Monit Assess. 2015;187:4115.

    Article  PubMed  Google Scholar 

  17. Grant CM, MacIver FH, Dawes IW. Glutathione is an essential metabolite required for resistance to oxidative stress in the yeast Saccharomyces cerevisiae. Curr Genet. 1996;29:511–5.

    Article  CAS  PubMed  Google Scholar 

  18. Yaakoub H, Mina S, Calenda A, Bouchara JP, Papon N. Oxidative stress response pathways in fungi. Cell Mol Life Sci. 2022;79:333.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  19. Shao H, Tu Y, Wang Y, Jiang C, Ma L, Hu Z, Wang J, Zeng B, He B. Oxidative stress response of Aspergillus oryzae induced by hydrogen peroxide and menadione sodium bisulfite. Microorganisms. 2019; 7.

  20. Ross SJ, Findlay VJ, Malakasi P, Morgan BA. Thioredoxin peroxidase is required for the transcriptional response to oxidative stress in budding yeast. Mol Biol Cell. 2000;11:2631–42.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  21. Carmel-Harel O, Storz G. Roles of the glutathione- and thioredoxin-dependent reduction systems in the Escherichia coli and Saccharomyces cerevisiae responses to oxidative stress. Annu Rev Microbiol. 2000;54:439–61.

    Article  CAS  PubMed  Google Scholar 

  22. Mulford KE, Fassler JS. Association of the Skn7 and Yap1 transcription factors in the Saccharomyces cerevisiae oxidative stress response. Eukaryot Cell. 2011;10:761–9.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  23. Cecarini V, Gee J, Fioretti E, Amici M, Angeletti M, Eleuteri AM, Keller JN. Protein oxidation and cellular homeostasis: emphasis on metabolism. Biochim Biophys Acta. 2007;1773:93–104.

    Article  CAS  PubMed  Google Scholar 

  24. Ng CH, Tan SX, Perrone GG, Thorpe GW, Higgins VJ, Dawes IW. Adaptation to hydrogen peroxide in Saccharomyces cerevisiae: the role of NADPH-generating systems and the SKN7 transcription factor. Free Radic Biol Med. 2008;44:1131–45.

    Article  CAS  PubMed  Google Scholar 

  25. Qi J, Xiao X, Ouyang L, Yang C, Zhuang Y, Zhang L. Enhancement of fatty acid degradation pathway promoted glucoamylase synthesis in Aspergillus niger. Microb Cell Fact. 2022;21:238.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  26. Zheng J, Yao L, Zeng X, Wang B, Pan L. ERV14 receptor impacts mycelial growth via its interactions with cell wall synthase and transporters in Aspergillus niger. Front Microbiol. 2023;14:1128462.

    Article  PubMed  PubMed Central  Google Scholar 

  27. Lin X, Dong L, Yu D, Wang B, Pan L. High-level expression and characterization of the thermostable leucine aminopeptidase Thelap from the thermophilic fungus Thermomyces lanuginosus in Aspergillus niger and its application in soy protein hydrolysis. Protein Expr Purif. 2020;167: 105544.

    Article  CAS  PubMed  Google Scholar 

  28. Li LX, Yu LY, Wang B, Pan L. Impact of overexpressing NADH kinase on glucoamylase production in Aspergillus niger. J Ind Microbiol Biotechnol. 2022. https://doi.org/10.1093/jimb/kuac015.

    Article  PubMed  PubMed Central  Google Scholar 

  29. Li K, Zheng J, Yu L, Wang B, Pan L. Exploration of the strategy for improving the expression of heterologous sweet protein monellin in Aspergillus niger. J Fungi (Basel). 2023. https://doi.org/10.3390/jof9050528.

    Article  PubMed  PubMed Central  Google Scholar 

  30. An X, Ding C, Zhang H, Liu T, Li J. Overexpression of amyA and glaA substantially increases glucoamylase activity in Aspergillus niger. Acta Biochim Biophys Sin (Shanghai). 2019;51:638–44.

    Article  CAS  PubMed  Google Scholar 

  31. Verdoes JC, Punt PJ, Schrickx JM, van Verseveld HW, Stouthamer AH, van den Hondel CA. Glucoamylase overexpression in Aspergillus niger: molecular genetic analysis of strains containing multiple copies of the glaA gene. Transgenic Res. 1993;2:84–92.

    Article  CAS  PubMed  Google Scholar 

  32. Zhao M, Ma J, Zhang L, Qi H. Engineering strategies for enhanced heterologous protein production by Saccharomyces cerevisiae. Microb Cell Fact. 2024;23:32.

    Article  PubMed  PubMed Central  Google Scholar 

  33. Martinez JL, Meza E, Petranovic D, Nielsen J. The impact of respiration and oxidative stress response on recombinant alpha-amylase production by Saccharomyces cerevisiae. Metab Eng Commun. 2016;3:205–10.

    Article  PubMed  PubMed Central  Google Scholar 

  34. Schroder M. Engineering eukaryotic protein factories. Biotechnol Lett. 2008;30:187–96.

    Article  PubMed  Google Scholar 

  35. Ong G, Logue SE. Unfolding the interactions between endoplasmic reticulum stress and oxidative stress. Antioxidants (Basel). 2023. https://doi.org/10.3390/antiox12050981.

    Article  PubMed  Google Scholar 

  36. Cao J, Wang C, Hao N, Fujiwara T, Wu T. Endoplasmic reticulum stress and reactive oxygen species in plants. Antioxidants (Basel). 2022. https://doi.org/10.3390/antiox11071240.

    Article  PubMed  PubMed Central  Google Scholar 

  37. Delic M, Graf AB, Koellensperger G, Haberhauer-Troyer C, Hann S, Mattanovich D, Gasser B. Overexpression of the transcription factor Yap1 modifies intracellular redox conditions and enhances recombinant protein secretion. Microb Cell. 2014;1:376–86.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  38. Simmen T, Lynes EM, Gesson K, Thomas G. Oxidative protein folding in the endoplasmic reticulum: tight links to the mitochondria-associated membrane (MAM). Biochim Biophys Acta. 2010;1798:1465–73.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  39. Kreiner M, McNeil B, Harvey LM. “Oxidative stress” response in submerged cultures of a recombinant Aspergillus niger(B1-D). Biotechnol Bioeng. 2000;70:662–9.

    Article  CAS  PubMed  Google Scholar 

  40. Carvalho NDSP, Jørgensen TR, Arentshorst M, Nitsche BM, van den Hondel CA, Archer DB, Ram AFJ. Genome-wide expression analysis upon constitutive activation of the HacA bZIP transcription factor in Aspergillus niger reveals a coordinated cellular response to counteract ER stress. BMC Genomics. 2012. https://doi.org/10.1186/1471-2164-13-350.

    Article  PubMed  PubMed Central  Google Scholar 

  41. Chai YC, Mieyal JJ. Glutathione and glutaredoxin-key players in cellular redox homeostasis and signaling. Antioxidants (Basel). 2023. https://doi.org/10.3390/antiox12081553.

    Article  PubMed  Google Scholar 

  42. Grant CM, Perrone G, Dawes IW. Glutathione and catalase provide overlapping defenses for protection against hydrogen peroxide in the yeast Saccharomyces cerevisiae. Biochem Biophys Res Commun. 1998;253:893–8.

    Article  CAS  PubMed  Google Scholar 

  43. Yoon HS, Shin SY, Kim YS, Kim IS. Glutathione reductase from Brassica rapa affects tolerance and the redox state but not fermentation ability in response to oxidative stress in genetically modified Saccharomyces cerevisiae. World J Microbiol Biotechnol. 2012;28:1901–15.

    Article  CAS  PubMed  Google Scholar 

  44. Cao W, Wang G, Lu H, Ouyang L, Chu J, Sui Y, Zhuang Y. Improving cytosolic aspartate biosynthesis increases glucoamylase production in Aspergillus niger under oxygen limitation. Microb Cell Fact. 2020;19:81.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  45. Orumets K, Kevvai K, Nisamedtinov I, Tamm T, Paalme T. YAP1 over-expression in Saccharomyces cerevisiae enhances glutathione accumulation at its biosynthesis and substrate availability levels. Biotechnol J. 2012;7:566–8.

    Article  CAS  PubMed  Google Scholar 

  46. Ask M, Mapelli V, Hock H, Olsson L, Bettiga M. Engineering glutathione biosynthesis of Saccharomyces cerevisiae increases robustness to inhibitors in pretreated lignocellulosic materials. Microb Cell Fact. 2013;12:87.

    Article  PubMed  PubMed Central  Google Scholar 

  47. Morris G, Gevezova M, Sarafian V, Maes M. Redox regulation of the immune response. Cell Mol Immunol. 2022;19:1079–101.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  48. Wang L, Wang CC. Oxidative protein folding fidelity and redoxtasis in the endoplasmic reticulum. Trends Biochem Sci. 2023;48:40–52.

    Article  CAS  PubMed  Google Scholar 

  49. Liu Y, Liu S, Tomar A, Yen FS, Unlu G, Ropek N, Weber RA, Wang Y, Khan A, Gad M, et al. Autoregulatory control of mitochondrial glutathione homeostasis. Science. 2023;382:820–8.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

Download references

Acknowledgements

Not applicable.

Funding

This work was supported by the National Key Research and Development Program of China (Project No.2021YFC2100200) and the Research and Development Plan in Key Areas of Guangdong Province (grant number 2022B1111050002).

Author information

Authors and Affiliations

Authors

Contributions

Conceptualization, X.C. and L.P.; methodology, X.C., B.W. and L.P.; validation, X.C. and L.P.; formal analysis, X.C. and L.P.; investigation X.C., B.W. and L.P.; resources, X.C., B.P., L.Y., B.W. and L.P.; writing—original draft preparation, X.C. and L.P.; visualization, X.C. and L.P.; funding acquisition, X.C., B.W. and L.P. All authors have read and agreed to the published version of the manuscript.

Corresponding author

Correspondence to Li Pan.

Ethics declarations

Ethics approval and consent to participate

Not applicable.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary Information

13068_2024_2542_MOESM1_ESM.docx

Supplementary Material 1. Table S1 The medium and its components used in this study. Table S2 The sgRNA used in this study. Figure S1 The plasmids for expression cassettes and CRISPR/Cas9 utilized in this study. Figure S2 Schematic representation of gene editing using CRISPR/Cas9 plasmid and RNP complexes. Figure S3 presents the growth patterns of both control and mutant strains on agar plates subjected to incremental concentrations of MSB, ranging from 1.5 to 12 mM. Figure S4 Significantly enriched GO scatter plots for OEAn03 and WT.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Chen, X., Pan, B., Yu, L. et al. Enhancement of protein production in Aspergillus niger by engineering the antioxidant defense metabolism. Biotechnol Biofuels 17, 91 (2024). https://doi.org/10.1186/s13068-024-02542-0

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s13068-024-02542-0

Keywords