A method to precisely generate and to comprehensively characterize morphology of filamentous fungus Aspergillus niger is described, which allows the mathematical correlation of morphological appearance and productivity.
The filamentous fungus A. niger is a widely used strain in a broad range of industrial processes from food to pharmaceutical industry. One of the most intriguing and often uncontrollable characteristics of this filamentous organism is its complex morphology. It ranges from dense spherical pellets to viscous mycelia (Figure 1). Various process parameters and ingredients are known to influence fungal morphology 1. Since optimal productivity correlates strongly with a specific morphological form, the fungal morphology often represents the bottleneck of productivity in industrial production.
A straight forward and elegant approach to precisely control morphological shape is the addition of inorganic insoluble micro particles (like hydrous magnesium silicate, aluminum oxide or titanium silicate oxide) to the culture medium contributing to increased enzyme production 2-6. Since there is an obvious correlation between micro particle dependent morphology and enzyme production it is desirable to mathematically link productivity and morphological appearance. Therefore a quantitative precise and holistic morphological description is targeted.
Thus, we present a method to generate and characterize micro particle dependent morphological structures and to correlate fungal morphology with productivity (Figure 1) which possibly contributes to a better understanding of the morphogenesis of filamentous microorganisms.
The recombinant strain A. niger SKAn1015 is cultivated for 72 h in a 3 L stirred tank bioreactor. By addition of talc micro particles in concentrations of 1 g/L, 3 g/L and 10 g/L prior to inoculation a variety of morphological structures is reproducibly generated. Sterile samples are taken after 24, 48 and 72 hours for determination of growth progress and activity of the produced enzyme. The formed product is the high-value enzyme β-fructofuranosidase, an important biocatalyst for neo-sugar formation in food or pharmaceutical industry, which catalyzes among others the reaction of sucrose to glucose 7-9. Therefore, the quantification of glucose after adding sucrose implies the amount of produced β-fructofuranosidase. Glucose quantification is made by a GOD/POD-Assay 10, which is modified for high-throughput analysis in 96-well micro titer plates.
Fungal morphology after 72 hours is examined by microscope and characterized by digital image analysis. In doing so, particle shape factors for fungal macro morphology like Feret’s diameter, projected area, perimeter, circularity, aspect ratio, roundness und solidity are calculated with the open source image processing program ImageJ. Relevant parameters are combined to a dimensionless Morphology number (Mn) 11, which enables a comprehensive characterization of fungal morphology. The close correlation of the Morphology number and productivity are highlighted by mathematical regression.
1. Reactor Setup and Start of Cultivation
4 bioreactor cultivations in total are conducted.
2. Sterile Sampling after 24, 48 and 72 h of Cultivation
3. Determination of the Biomass Dry Weight after 24, 48 and 72 h of Cultivation
4. Determination of the Extracellular Enzymatic Activity of β-fructofuranosidase by GOD/POD-essay after 24, 48 and 72 h of Cultivation
Store the samples on ice constantly while working with them.
5. Microscopy and Automated Image Analysis after 72 h of Cultivation
6. Representative Results
Through addition of talc micro particles A. niger SKAn 1015 morphology is changed from a true pellet morphology to a dispersed or even mycelial morphology. Whereas pellet morphology is exhibited at standard conditions a mycelial morphology is created by supplementation of medium with 10 g/L of talc micro particles (Figure 4.). Concurrently the activity of β-fructofuranosidase increases around 3 fold 3-5. A supplementation of 1 or 3 g/L of talc powder leads to a dispersed morphology, with a doubled fructofuranosidase activity (Figure 4.).
The micro particle dependent morphology can be comprehensively described by the Morphology number which can be calculated using parameters determined by automatic image analysis. Perfectly round and smooth pellets will in microscopic images appear as perfect circles. For such particles the Morphology number has a value of 1. The smallest fragment of mycelial morphology can be simplified as a one-dimensional line yielding a Morphology number of 0. All intermediate morphological forms like elongated irregular pellets or clumps will therefore have values between 0 and 1. Fairly large particles will result in a high, fungal particles with a large surface or elongated particles, in a rather low Morphology number 11.
At standard conditions the morphology in reactor 1 exhibits a Morphology number around 0.8. The morphology in reactor 4 with 10 g/L talc powder features a Mn around 0.1. The Morphology number for reactors 2 and 3, with talc powder concentrations of 1 and 3 g/L, lies between these extremes, demonstrating a dispersed morphology. Since micro particle dependent morphology is closely related with the β-fructofuranosidase productivity, a mathematical correlation of Morphology number and productivity similar to Figure 5 is obtained.
Figure 1. Overall scheme of the experimental design and the analytic procedure. A. niger is cultivated (with or without micro particles) in an 3 L stirred tank bioreactor for 72 h. After 24, 48 and 72 h a sample is taken for determination of biomass dry weight and β-fructofuranosidase activity, which again are used for calculation of the specific productivity. After 48 h the fungal morphology is examined by microscope and characterized by digital image analysis. Relevant parameters of image analysis are combined to a Morphology number, which is mathematical correlated with the specific productivity.
Figure 2. Steps of image processing for microscopic-generated images of morphological structures from A. niger. Step 1: image acquisition by microscope. Step 2: image improvement if necessary. Step 3: image binarization, black-and-white (binary) image generated in ImageJ. Step 4: the binary image is processed by and unwanted object are cleared. Step 5: morphological analysis is conducted with the “Analyze particles” function of the open source program ImageJ.
Figure 3. Different morphological forms of A. niger dependent on the concentration of added micro particles. With increasing concentration of micro particles added the pellet size can be precisely decreased down to small core-shell pellets, small flocks and even freely dispersed mycelium. Morphology engineering of Aspergillus niger SKAn1015 by micro particle supplementation in submerged culture. Without microparticles (A), 10 mg/L (B), 0.1 g/L (C), 0.2 g/L (D), 0.3 g/L (E), 0.6 g/L (F), 1.0 g/L (G), 1.5 g/L (H), 2.0 g/L (I), 2.5 g/L (J), 3.0 g/L (K), 3.5 g/L (L), 4.0 g/L (M), 4.5 g/L (N), 5.0 g/L (O), 10 g/L (P), 15 g/L (Q), 20 g/L (R), 30 g/L (S) and 40-50 g/L (T). Images were taken by light microscopy after 72 h of cultivation.
Figure 4. Fructofuranosidase activity in dependence of talc micro particle concentration 1 g/L (reactor 2), 3 g/L (reactor 3) and 10 g/L (reactor 4). Reactor 1 is not supplemented with micro particles; here the cultivation is conducted under standard conditions.
Figure 5. Representative good correlation (R2 = 0.91) of the Morphology number and the specific productivity. The Morphology number is plotted (abscissa) against the specific productivity (ordinate). Nonlinear regression yields the exponential correlation.
The modification of fungal morphology has been of interest in biotechnology since many decades. Different studies have tried to vary selected process parameters such as pH value, power input, temperature, medium nutrients or inoculum concentration 1, but suffer from rather imprecise and incomplete control of morphology, high energy costs, inhibition effects or product instability, In contrast, the supplementation of micro particles allows a precise engineering of fungal morphology through fine-tuned variation of particle size and concentration. This opens new possibilities to use micro particles for optimization and for tailor-made design of high producing morphology in biotechnological production with A. niger and other filamentous microorganisms.
The digital image analysis is an easy reproducible method to characterize fungal macro morphology. However, the variety of parameters for size, shape and surface character of morphological structures described in literature makes quick assessment of fungal morphology complicated. The presented Morphology number as a combination of relevant parameters, avoids this deficiency and can be used not only for comprehensive characterization of morphological structures but also for direct mathematical correlation with productivity. This again renders an estimation of productivity by given morphology and therefore a customization of morphology for process needs possible.
Using the Morphology number, it is possible to distinguish between various pellet and clump morphologies 4,5. For further development of the Morphology number the consideration of the fractal dimension seems to be promising. A fractal dimension gives a measurement of the complexity and mass filling properties of an object 13 and is therefore predestinated for holistic characterization of mycelial morphology.
The creation of a high producing mycelial morphology, however, might lead to problems with process performance especially in large scale cultivation, because the mycelial growth form has been previously shown to exhibit much greater culture broth viscosities 2. This leads to problems with heat and mass transfer and formation of stagnant non mixed zones, which require a higher power input and make the cultivation more expensive to operate1. Therefore the relationship between fungal morphology and culture broth viscosity should be considered when changing the morphology and be incorporated in further models.
The authors have nothing to disclose.
The authors gratefully acknowledge financial support provided by the German Research Foundation (DFG) through the collaborative research center SFB 578 “From Gene to Product” at the Technische Universität Braunschweig, Germany.
Table of Equipment:
Equipment | Company | Catalogue Number/model |
autoclave | Systec | V150 |
Büchner funnel (plastic) | VWR | – |
cellulose filter (for biomass dry weight) | Sartorius Stedim Biotech | Filter Discs Grade 389 |
cellulose acetate filter (for air filtration at reactor) | Sartorius stedim biotech | Midisart 200 PTFE |
cellulose acetate filter (for enzyme activity) | Sartorius Stedim Biotech | Midisart NML |
centrifuge | Eppendorf | Centrifuge 5415R |
centrifuge | Heraeus | Biofuge fresco |
centrifuge | Heraeus sepatech | Varifuge 3.0R |
compartment dryer (105 °C) | Heraeus | Kelvitran t |
control unit (temperature) | Jumo | Jumo iTron 08 |
control unit (pH-value) | meredos | pH Control 2 |
desiccator | Duran | Vacuum stable |
Falcon tubes | Omnilab | FALC352070 |
heating block 40 °C | Biometra | TB1 Thermoblock |
heating block 95 °C | HLC | HBT 130 |
micro plate reader | Tecan | Sunrise-Microplate-Reader |
micro scales | Sartorius | CP 225 |
microscope (digital inverted) | AMG | EVOS xl |
micro pipettes and tips (different sizes) | Omnilab | 5283303 5283298 5283299 5283300 |
micro titer plate | Nunc | MaxiSorp |
multi pipette and tips | Eppendorf/ Omnilab | 5283611/ 5283611 |
pH-electrode | Schott | pH-Meter CG840 |
reaction tubes | Roth | E518.1 |
scale | Sartorius | CP 3202 S |
stirred tank bioreactor with equipment | Applikon Biotechnology | 2L Bioreactor set |
syringe | Eppendorf | Combitips Plus 5 mL |
Table of Reagents:
Name of the reagent | Company |
Acetic acid | Roth |
Disodium hydrogen phosphate | Merck |
Ethanol (95%) | Roth |
Glucose monohydrate, (α-D-) | Roth |
Glucose oxidase (Typ II from Aspergillus niger) | Sigma |
Hydrochloride acid (37 % w/v) | Fiedel-de Haën |
Hydrous magnesium silicate | Roth |
Monopotassium phosphate | Merck |
o-dianoisidine dihydrochloride | Sigma |
Peroxidase (Typ II from horseradish) | Sigma |
Sodium acetate | Roth |
Sodium hydroxide | Merck |
Sucrose, D-(+) | Fluka |
Water (deionized) | – |
Table of Solutions and Medium Composition:
Solution | Components | Amount |
50 mM sodium acetate buffer (pH 6.5) | Sodium acetate Bring to volume with deionized water Adjust at pH 6.5 with acetic acid | 4.1 g L-1 |
0.05 M monopotassium phosphate solution | Monopotassium phosphate Bring to volume with deionized water | 6.805 g L-1 |
0.05 M disodium hydrogen phosphate solution | Disodium hydrogen phosphate Bring to volume with deionized water | 7.1 g L-1 |
0.05 M phosphate buffer (pH 7.0) | 0.05 M disodium hydrogen phosphate solution Bring to volume with 0.05 M monopotassium phosphate solution | 61.2 mL |
0.05 M phosphate buffer (pH 5.4) | 0.05M disodium hydrogen phosphate solution Bring to volume with 0.05 M monopotassium phosphate solution | 3 mL |
1.65 M sucrose solution | D-(+)-sucrose Bring to volume with phosphate buffer (pH 5.4) | 564.8 g L-1 |
reagent solution | o-Dianisidin-Dihydrochlorid Ethanol (95%) | 25 mg 10 mL |
Glucose reagent solution | Glucose oxidase Peroxidase Phosphate buffer (pH 7.0) reagent solution | 10.5 mg 3 mg 90 mL 10 mL |