Enhancing and monitoring spore production in Clostridium butyricum using pH-based regulation strategy and a robust soft sensor based on back-propagation neural networks.

Clostridium butyricum is a probiotic that forms anaerobic spores and plays a crucial role in regulating gut microbiota. However, the total viable cell count and spore yield of C. butyricum in industrial production are comparatively low. To this end, we investigated the metabolic characteristics of the strain and proposed three distinct pH regulation strategies for enhancing spore production. In addition, precise measurement of fermentation parameters such as substrate concentration, total viable cell count, and spore concentration is crucial for successful industrial probiotics production. Nevertheless, online measurement of these intricate parameters in the fermentation of C. butyricum poses a considerable challenge owing to the complex, nonlinear, multivariate, and strongly coupled characteristics of the production process. Therefore, we analyzed the capacitance and conductivity acquired from a viable cell sensor as the core parameters for the fermentation process. Subsequently, a robust soft sensor was developed using a seven-input back-propagation neural network model with input variables of fermentation time, capacitance, conductivity, pH, initial total sugar concentration, ammonium ion concentration, and calcium ion concentration. The model enables the online monitoring of total viable biomass count, substrate concentrations, and spore yield, and can be extended to similar fermentation processes with pH changes as a characteristic feature.

An inducible CRISPRi circuit for tunable dynamic regulation of gene expression in Saccharopolyspora erythraea.

Actinomyces are gram-positive bacteria known for their valuable secondary metabolites. Redirecting metabolic flux towards desired products in actinomycetes requires precise and dynamic regulation of gene expression. In this study, we integrated the CRISPR interference (CRISPRi) system with a cumate-inducible promoter to develop an inducible gene downregulation method in Saccharopolyspora erythraea, a prominent erythromycin-producing actinobacterium. The functionality of the cumate-inducible promoter was validated using the gusA gene as a reporter, and the successful inducible expression of the dCas9 gene was confirmed. The developed inducible CRISPRi strategy was then employed to downregulate the expression of target genes rppA in the wild-type strain NRRL2338 and sucC in the high erythromycin-producing strain E3. Through dynamic control of sucC expression, a significant enhancement in erythromycin production was achieved in strain E3. This study demonstrated the effectiveness of an inducible gene downregulation approach using CRISPRi and a cumate-inducible promoter, providing valuable insights for optimizing natural product production in actinomyces.

An Efficient High-Throughput Screening of High Gentamicin-Producing Mutants Based on Titer Determination Using an Integrated Computer-Aided Vision Technology and Machine Learning.

The "design-build-test-learn" (DBTL) cycle has been adopted in rational high-throughput screening to obtain high-yield industrial strains. However, the mismatch between build and test slows the DBTL cycle due to the lack of high-throughput analytical technologies. In this study, a highly efficient, accurate, and noninvasive detection method of gentamicin (GM) was developed, which can provide timely feedback for the high-throughput screening of high-yield strains. First, a self-made tool was established to obtain data sets in 24-well plates based on the color of the cells. Subsequently, the random forest (RF) algorithm was found to have the highest prediction accuracy with an R2 value of 0.98430 for the same batch. Finally, a stable genetically high-yield strain (998 U/mL) was successfully screened out from 3005 mutants, which was verified to improve the titer by 72.7% in a 5 L bioreactor. Moreover, the verified new data sets were updated on the model database in order to improve the learning ability of the DBTL cycle.

Advances in sustainable approaches utilizing orange peel waste to produce highly value-added bioproducts.

Orange peel waste (OPW), a discarded part of orange fruit, is a rich source of essential constituents that can be transformed into highly value-added bioproducts. OPW is being generated in million tonnes globally and returns to the environment without complete benefit. Thus, a high volume of annually produced OPW in the industry requires effective valorization. In this regard, limited data is available that summarizes the broader spectrum for the sustainable fate of OPW to produce value-added bioproducts. The main objective of this treatise is to explore the sustainable production of bioproducts from OPW. Therefore, this review covers all the aspects of OPW, from its production to complete valorization. The review encompasses the extraction technologies employed for extracting different valuable bioactive compounds, such as: essential oil (EO), pectin, and carotenoids, from OPW. Furthermore, the suitability of bioconversion technologies (digestion/fermentation) in transforming OPW to other useful bioproducts, such as: biochemicals (lactic acid and succinic acid), biopolysaccharides (xanthan and curdlan gum), and bioenergy (biomethane and bioethanol) is discussed. Also, it includes the concept of OPW-based biorefineries and their development that shall play a definite role in future to cover demands for: food, chemicals, materials, fuels, power, and heat. Lastly, this review focuses on OPW-supplemented functional food products such as: beverages, yogurts, and extruded products. In conclusion, insights provided in this review maximize the potential of OPW for commercial purposes, leading to a safe, and waste-free environment.

Cephalosporin C biosynthesis and fermentation in Acremonium chrysogenum.

Cephalosporins are currently the most widely used antibiotics in clinical practice. The main strain used for the industrial production cephalosporin C (CPC) is Acremonium chrysogenum. CPC has the advantages of possessing a broad antibacterial spectrum and strong antibacterial activity. However, the yield and titer of cephalosporins obtained from A. chrysogenum are much lower than penicillin, which is also a ß-lactam antibiotic produced by Penicillium chrysogenum. Molecular biology research into A. chrysogenum has focused on gene editing technologies, multi-omics research which has provided information on the differences between high- and low-yield strains, and metabolic engineering involving different functional genetic modifications and hierarchical network regulation to understand strain characteristics. Furthermore, optimization of the fermentation process is also reviewed as it provides the optimal environment to realize the full potential of strains. Combining rational design to control the metabolic network, high-throughput screening to improve the efficiency of obtaining high-performance strains, and real-time detection and controlling in the fermentation process will become the focus of future research in A. chrysogenum. This minireview provides a holistic and in-depth analysis of high-yield mechanisms and improves our understanding of the industrial value of A. chrysogenum. KEY POINTS: • Review of the advances in A. chrysogenum characteristics improvement and process optimization • Elucidate the molecular bases of the mechanisms that control cephalosporin C biosynthesis and gene expression in A. chrysogenum • The future development trend of A. chrysogenum to meet industrial needs.

Engineering of succinyl-CoA metabolism in view of succinylation regulation to improve the erythromycin production.

As a novel protein post-translational modification (PTM), lysine succinylation is widely involved in metabolism regulation by altering the activity of catalytic enzymes. Inactivating succinyl-CoA synthetase in Saccharopolyspora erythraea HL3168 E3 was proved significantly inducing the global protein hypersuccinylation. To investigate the effects, succinylome of the mutant strain E3ΔsucC was identified by using a high-resolution mass spectrometry-based proteomics approach. PTMomics analyses suggested the important roles of succinylation on protein biosynthesis, carbon metabolism, and antibiotics biosynthesis in S. erythraea. Enzymatic experiments in vivo and in vitro were further conducted to determine the succinylation regulation in the TCA cycle. We found out that the activity of aconitase (SACE_3811) was significantly inhibited by succinylation in E3ΔsucC, which probably led to the extracellular accumulation of pyruvate and citrate during the fermentation. Enzyme structural analyses indicated that the succinylation of K278 and K373, conservative lysine residues locating around the protein binding pocket, possibly affects the activity of aconitase. To alleviate the metabolism changes caused by succinyl-CoA synthetase inactivation and protein hypersuccinylation, CRISPR interference (CRISPRi) was applied to mildly downregulate the transcription level of gene sucC in E3. The erythromycin titer of the CRISPRi mutant E3-sucC-sg1 was increased by 54.7% compared with E3, which was 1200.5 mg/L. Taken together, this work not only expands our knowledge of succinylation regulation in the TCA cycle, but also validates that CRISPRi is an efficient strategy on the metabolic engineering of S. erythraea. KEY POINTS: • We reported the first systematic profiling of the S. erythraea succinylome. • We found that the succinylation regulation on the activity of aconitase. • We enhanced the production of erythromycin by using CRISPRi to regulate the transcription of gene sucC.

Knockout and functional analysis of BSSS-related genes in Acremonium chrysogenum by novel episomal expression vector containing Cas9 and AMA1.

OBJECTIVE: The target sorB gene, related to sorbicillinoid production, and the free expression element, AMA1, were used to verify the methodological approach in Acremonium chrysogenum. RESULT: CRISPR-Cas9 episomal expression system was used to introduce a point mutation into the sorB gene and the addition of sorB donor DNA achieved complete knockout of target genes. Four BSSS (yeast bud site selection system)-related genes, axl1, axl2, bud3, and bud4 were knocked out without impact on yield, dry weight, or pH. Relationships between morphology and stress tolerance in knockout strains were analyzed. CONCLUSION: The gene-editing system used in the current study exceeded 80% efficiency and arthrospores development was found to differ from that in wild-type strain.

Engineering the methyltransferase through inactivation of the genK and genL leads to a significant increase of gentamicin C1a production in an industrial strain of Micromonospora echinospora 49-92S.

In this study, a single-component high-yielding Micromonospora echinospora strain 49-92S-KL01 was constructed by deleting methyltransferase-encoding genes genK and genL. In 5-L fermentation trials, gentamicin C1a titers in the mutant strain were 3.22-fold higher than that in the parental strain (211 U/mL vs. 50 U/mL). The glycolysis pathway and tricarboxylic acid cycle fluxes were reduced by 26.8% and 26.6%, respectively, compared to the parental strain according to the metabolic flux analysis during the stationary phase, resulting in lower levels of energy supplements required for the cellular maintenance. Meanwhile, a significant enhancement in precursor (paromamine) accumulation and availability was observed in 49-92S-KL01 compared to parental strain. These results indicate that genK and genL significantly affect the synthesis of gentamicin C1a. In addition, this study provides a more rational strategy for gentamicin C1a production.

Exploring the metabolic fate of propanol in industrial erythromycin-producing strain via 13C labeling experiments and enhancement of erythromycin production by rational metabolic engineering of Saccharopolyspora erythraea.

Propanol had been widely used as a precursor for erythromycin synthesis in industrial production. However, the knowledge on the exact metabolic fate of propanol was still unclear. In the present study, the metabolic fate of propanol in industrial erythromycin-producing strain Saccharopolyspora erythraea E3 was explored via 13C labeling experiments. An unexpected pathway in which propanol was channeled into tricarboxylic acid cycle was uncovered, resulting in uneconomic catabolism of propanol. By deleting the sucC gene, which encodes succinyl-CoA synthetase that catalyse a reaction in the unexpected propanol utilization pathway, a novel strain E3-ΔsucC was constructed. The strain E3-ΔsucC showed a significant enhancement in erythromycin production in the chemically defined medium compared to E3 (786.61 vs 392.94 mg/L). Isotopically nonstationary 13C metabolic flux analysis were employed to characterize the metabolic differences between Saccharopolyspora erythraea E3 and E3-ΔsucC. The results showed that compared with the starting strain E3, the fluxes of pentose phosphate pathway in E3-△sucC increased by almost 200%. The flux of the metabolic reaction catalyzed by succinyl-CoA synthetase in E3-ΔsucC was almost zero, while the glyoxylate bypass flux significantly increased. These new insights into the precursor utilization of antibiotic biosynthesis by rational metabolic engineering in Saccharopolyspora erythraea provided the new vision in increasing industrial production of secondary metabolites.

Development of a novel noninvasive quantitative method to monitor Siraitia grosvenorii cell growth and browning degree using an integrated computer-aided vision technology and machine learning.

The rapid, accurate and noninvasive detection of biomass and plant cell browning can provide timely feedback on cell growth in plant cell culture. In this study, Siraitia grosvenorii suspension cells were taken as an example, a phenotype analysis platform was successfully developed to predict the biomass and the degree of cell browning based on the color changes of cells in computer-aided vision technology. First, a self-made laboratory system was established to obtain images. Then, matrices were prepared from digital images by a self-developed high-throughput image processing tool. Finally, classification models were used to judge different cell types, and then a semi-supervised classification to predict different degrees of cell browning. Meanwhile, regression models were developed to predict the plant cell mass. All models were verified with a good agreement by biological experiments. Therefore, this method can be applied for low-cost biomass estimation and browning degree quantification in plant cell culture.

Advances in sophorolipid-producing strain performance improvement and fermentation optimization technology.

Sophorolipids (SLs), currently one of the most promising biosurfactants, are secondary metabolites produced by many non-pathogenic yeasts, among which Candida bombicola ATCC 22214 is the main sophorolipid-producing strain. SLs have gained much attention since they exhibit anti-tumor, anti-bacterial, anti-inflammatory, and other beneficial biological activities. In addition, as biosurfactants, SLs have a low toxicity level and are easily degradable without polluting the environment. However, the production cost of SLs remains high, which hinders the industrialization process of SL production. This paper describes SL structure and the metabolic pathway of SL synthesis firstly. Furthermore, we analyze factors that contribute to the higher production cost of SLs and summarize current research status on the advancement of SL production based on two aspects: (1) the improvement of strain performance and (2) the optimization of fermentation process. Further prospects of lowering the cost of SL production are also discussed in order to achieve larger-scale SL production with a high yield at a low cost. KEY POINTS: • Review of advances in strain performance improvement and fermentation optimization. • High-throughput screening and metabolic engineering for high-performance strains. • Low-cost substrates and semi-continuous strategies for efficient SL production.

Rational high-throughput system for screening of high sophorolipids-producing strains of Candida bombicola.

A rational high-throughput screening can significantly improve the efficiency of strain screening with high performance. In this study, based on the addition reaction of unsaturated fatty acids in the sophorolipids (SLs) and I2 molecules, a simple and rapid high-throughput detection method for SLs was established which demonstrated a correlation coefficient (R2) of 0.9106 with high-performance liquid chromatography (HPLC) method. Moreover, chlorpromazine, as a rational selecting pressure for enrichment of mutants with high cytochrome P450 enzyme activity, which was a key enzyme in the synthesis of SLs, was introduced into the high-throughput screening model. Consequently, with the aid of this effective screening system, a high-yielding mutant designated as Candida bombicola F6.5 was successfully screened out from 1500 single colonies, which presented improvements of 40.3% and 11.4% on SLs titer and yield, respectively, compared to the parent strain in a 1 L bioreactor.

Dynamic changes of metabolomics and expression of candicidin biosynthesis gene cluster caused by the presence of a pleiotropic regulator AdpA in Streptomyces ZYJ-6.

Candicidin is one of the frequent antibiotics for its high antifungal activity, but the productivity is still extremely low. Introduction of adpA into Streptomyces ZYJ-6 could improve candicidin productivity significantly and achieved 9338 µg/mL, which was the highest value ever reported in the literature. Combined analyses of transcriptional levels, metabolic flux and metabolomics indicate that para-aminobenzoic acid and the first step of shikimic acid metabolism were not the bottleneck for the candicidin production in the control. However, methylmalonyl-CoA played a central role in the candicidin production and the gene methB responsible for the biosynthesis of methylmalonyl-CoA might be the candidate gene target for further improving the production of candicidin.

Combined available nitrogen resources enhanced erythromycin production and preliminary exploration of metabolic flux analysis under nitrogen perturbations.

In the current study, the effect of different available nitrogen sources on erythromycin fermentation by Saccharopolyspora erythraea No. 8 is evaluated. Three different combinations of corn steep liquor and yeast powder were developed to investigate their impacts on erythromycin production. The results indicate that the optimal combination of available nitrogen sources was 10.0 g/L corn steep liquor and 4.0 g/L yeast power, generating a maximum yield of erythromycin of 13672 U/mL. To explore the effects of nitrogen perturbations on cell metabolism, metabolic flux analyses were performed and compared under different conditions. A high flux pentose phosphate pathway provided more NADPH for erythromycin synthesis via nitrogen optimization. Moreover, high n-propanol specific consumption rate enhanced erythromycin synthesis and n-propanol flowed into the central carbon metabolism by methylmalonyl-CoA node. These results indicate that the selection of an appropriate organic nitrogen source is essential for cell metabolism and erythromycin synthesis, and this is the first report of the successful application of available nitrogen source combinations in industrial erythromycin production.

Oxygen-enriched fermentation of sodium gluconate by Aspergillus niger and its impact on intracellular metabolic flux distributions.

Different concentrations of oxygen-enriched air were utilized for sodium gluconate (SG) fermentation by Aspergillus niger. The fermentation time shortened from 20 to 15.5 h due to the increase of volumetric oxygen transfer coefficient (KLa) and the formation of more dispersed mycelia when inlet oxygen concentration ascended from 21 to 32%. According to metabolic flux analysis, during the growth phase, extracellular glucose for SG synthesis accounted for 79.0 and 85.3% with air and oxygen-enriched air (25%), respectively, whereas the proportions were 89.4 and 93.0% in the stationary phase. Intracellular glucose consumption decreased in oxygen-enriched fermentation, as cell respiration was more high-efficiently performed. Metabolic profiling indicated that most intermediates in TCA cycle and EMP pathway had smaller pool sizes in oxygen-enriched fermentations. Moreover, the main by-product of citric acid dramatically decreased from 1.36 to 0.34 g L-1 in oxygen-enriched fermentation. And the sodium gluconate yield increased from 0.856 to 0.903 mol mol-1.

Kinetic analysis of sodium gluconate production by Aspergillus niger with different inlet oxygen concentrations.

To further understand fermentation kinetics of sodium gluconate (SG) production by Aspergillus niger with different inlet oxygen concentrations, logistic model for cell growth and two-step models for SG production and glucose consumption were established. The results demonstrated that the maximum specific growth rate (µm) presented exponential relationship with inlet oxygen concentration and the maximum biomass (Xm) exhibited linear increase. In terms of SG production, two-step model with Luedeking-Piret equation during growth phase and oxygen-dependent equation during stationary phase could well fit the experimental data. Notably, high inlet oxygen concentration exponentially improved SG yield (YP/S), whereas biomass yield to glucose (YX/S) and cell maintenance coefficient (m) were almost independent on inlet oxygen concentration, indicating that high oxygen supply enhancing SG synthesis not only functioning as a substrate directly, but also regulating glucose metabolism towards SG formation. Finally, the applicability and predictability of the proposed models were further validated by additional experiments.

Enhancing candicidin biosynthesis by medium optimization and pH stepwise control strategy with process metabolomics analysis of Streptomyces ZYJ-6.

Candicidin is one of the most effective antimonilial agents. In order to enhance candicidin productivity, medium optimization and pH stepwise control strategy in process optimization were conducted by Streptomyces ZYJ-6. With the aid of Design Expert software and N/C/P-sources regulation, chemically defined medium fit for cell growth and candicidin biosynthesis was developed. Moreover, pH effects on cell growth and metabolism were investigated. The results indicated that the optimal pH for cell growth and candicidin biosynthesis were 6.8 and 7.8, respectively. The metabolomics analysis revealed that the pH stepwise control strategy (pH 6.8-7.8) combined the advantages of pH 6.8 and pH 7.8 and avoided precursor limitation in pH 6.8 and 7.8. Consequently, the pH stepwise control strategy played positive performance on cell growth and candicidin biosynthesis with the maximum titer of 5161 µg/mL. The titer of 5161 µg/mL was the highest level ever reported for candicidin production, which laid a solid foundation for industrial application. Additionally, pH stepwise control strategy was important reference for process optimization.

Blocking the flow of propionate into TCA cycle through a mutB knockout leads to a significant increase of erythromycin production by an industrial strain of Saccharopolyspora erythraea.

A high erythromycin producing mutant strain Saccharopolyspora erythraea HL3168 E3-ΔmutB was constructed by deleting mutB (SACE_5639) gene encoding the beta subunit of methylmalonyl-CoA mutase of an industrial strain of S. erythraea HL3168 E3. Industrial media and process control strategies were adopted in a 5 L bioreactor for characterizing the physiological parameters. The total erythromycin titer and erythromycin A concentration in mutant were 46.9 (12740.5 µg/mL) and 64.9 % (8094.4 µg/mL) higher than those in original strain, respectively, which were comparable to industrial erythromycin production. The specific glucose and n-propanol consumption rates were increased by 52.4 and 39.8 %, respectively. During the rapid erythromycin synthesis phase, the yield of erythromycin on n-propanol also increased from 24.3 % in control group to 66.9 % in mutant group. Meanwhile, the specific formation rates of methylmalonyl-CoA and propionyl-CoA, two crucial precursors for erythromycin synthesis, were 1.89- and 2.02-folds higher in the mutant strain, respectively.

Enhanced L-lactic acid production in Lactobacillus paracasei by exogenous proline addition based on comparative metabolite profiling analysis.

This study investigated cell physiological and metabolic responses of Lactobacillus paracasei to osmotic stresses. Both cellular fatty acid composition and metabolite profiling were responded by increasing unsaturated and epoxy-fatty acid proportions, as well as accumulating some specific intracellular metabolites. Simultaneously, metabolite profiling was adopted to rationally and systematically discover potential osmoprotectants. Consequently, exogenous addition of proline or aspartate was validated to be a feasible and efficacious approach to improve cell growth under hyperosmotic stress in shake flasks. Particularly, with 5-L cultivation system, L-lactic acid concentration increased from 108 to 150 g/L during the following 16-h fermentation in 2 g/L proline addition group, while it only increased from 110 to 140 g/L in no proline addition group. Moreover, glucose consumption rate with proline addition reached 3.49 g/L/h during this phase, 35.8 % higher than that with no proline addition. However, extreme high osmotic pressure would significantly limit the osmoprotection of proline, and the osmolality threshold for L. paracasei was approximately 3600 mOsm/kg. It was suggested that proline principally played a role as a compatible solute accumulated in the cell for hyperosmotic preservation. The strategies of exploiting osmotic protectant with metabolite profiling and enhancing L-lactic acid production by osmoprotectant addition would be potential to provide a new insight for other microorganisms and organic acids production.

L-Lactic acid production benefits from reduction of environmental osmotic stress through neutralizing agent combination.

This paper hinged on the combination effect of two different neutralizing agents Ca(OH)2 and NH4OH on the production of L-lactic acid by Lactobacillus paracasei. Present study quantitatively indicated that environmental osmotic pressure (844-1,772 mOsm/kg) exerted minor influence on L-lactic acid production, but a critical level fell on approximately 3,000 mOsm/kg which restricted L-lactic acid production significantly. Once osmotic pressure exceeded 3,600 mOsm/kg, L-lactic acid production ran aground. A new and efficient neutralizing agent-adding strategy was established in this study to procure 2.21-fold enhancement (5.94 g/l/h) relative to previous productivity of L-lactic acid with NH4OH as neutralizing agent via batch cultivation. It was, therefore, speculated that inhibition effect in the late phase of the fermentation might be in large part attributed to the dramatic increase of environmental osmotic stress, other than cumulative effect of lactate concentration itself.