Effect of Fe nanoparticle on growth and glycolipid biosurfactant production under solid state culture by marine Nocardiopsissp. MSA13A
BMC Biotechnology volume 14, Article number: 48 (2014)
Iron is an essential element in several pathways of microbial metabolism, and therefore low iron toxicity is expected on the usage of Fe nanoparticles (NPs). This study aims to determine the effect of Fe NPs on biosurfactant production by marine actinobacterium Nocardiopsis sp. MSA13A under solid state culture. Foam method was used in the production of Fe NPs which were long and fiber shaped in nature.
The SEM observation showed non toxic nature of Fe NPs as no change in the morphology of the filamentous structure of Nocardiopsis MSA13A. The production of biosurfactant by Nocardiopsis MSA13A under solid state culture supplemented with Fe NPs increased to 80% over control. The biosurfactant produced by Nocardiopsis MSA13A was characterized as glycolipid derivative which effectively disrupted the pre-formed biofilm of Vibrio pathogen.
The use of metal NPs as supplement would reduce the impact of non-metallic ions of the metal salts in a fermentation process. This would ultimately useful to achieve greener production process for biosurfactants. The present results are first report on the optimization of biosurfactant production under SSC using Fe NPs.
Production economy is a greater challenge in industrial production of biosurfactants. Successful production depends on the development of low-cost production processes and readily available raw materials which could reduce the cost of production process substantially . Development of economical engineering processes and the use of low cost feedstock for microorganism growth and surfactant production could reduce the production cost . It is a well-known fact that microorganisms are immensely affected by conditions that prevail surrounding them. Variations in carbon and nitrogen sources along with its stabilization at different pH and temperature have resulted in increased yield of biosurfactants. Metal supplementation was reported to be one of the critical factors required for enhanced production of biosurfactants . Among the metal ions, Fe is the key microelement for biosurfactant production in several microorganisms . Based on our previous bioprocess optimization for production of biosurfactants by marine actinobacteria [5, 6], it was established that metal ions such as FeCl3, CuSO4, MnCl2, and MgSO4 had significantly influenced biosurfactant production. Among the metal ions screened, FeCl3 was most appropriate metal precursor for the production of biosurfactant by marine actinobacteria followed by CuSO4. Makkar and Cameotra  reported that the biosurfactant production increased considerably (almost double) by the addition of metal supplements. Considering the significant role of metal ion on biosurfactant production, the present study was initiated to evaluate the effect of metal (Fe3+) NPs on biosurfactant production.
Nanoparticles (NPs) have been hypothesized to be influence microbial production, growth and survival. Previous reports evidenced the effect of different NPs on the growth and secondary metabolite production in various microorganisms [8, 9]. But reports revealed that NPs like Ag, Au and oxides of Al, Ti, Si and Zn have detrimental effect on the cells of microorganisms . Fe was considered as an essential element with many other novel properties, such as enhanced surface-to-volume ratio, super-paramagnetism and inherent biocompatibility [11, 12]. Because of using Fe atom in several pathways of metabolism, low iron toxicity is expected on the usage of Fe NPs [13, 14]. In this background, the present study aims to determine the effect of Fe NPs on biosurfactant production by marine actinobacterium under solid state culture (SSC).
Results and discussion
Isolation and identification of biosurfactant producer MSA13A
This report is an outcome of bioprospecting of actinobacteria associated with marine sponge Dendilla nigra. Among the 57 stable isolates (MSA01-MSA057), the strains MSA04, MSA10, MSA13A, MSA19 and MSA21 were considered as potential biosurfactant producers. In the present study, we report the biosurfactant production potential of MSA13A. The results of screening tests performed on MSA13A include hemolytic activity (6 mm), oil displacement (10 mm), lipase activity (72 U/mg), positive drop collapsing test and emulsification activity (23%). The isolate hydrolyzed starch, gelatin, chitin, cellulose and tributyrin. The 16S rRNA sequence of the isolate MSA13A was further analyzed using NCBI BLASTn tool with a query to limit the search for closest biosurfactant producing relatives. Representatives of maximum homologous sequences from the search were used for the construction of phylogenetic tree using UPGMA algorithm. The isolate MSA13A showed clustering with prominent biosurfactant producers Bacillus and Pseudomonas. These findings revealed that the isolate MSA13A was an actinobacterial strain producing extracellular biosurfactants. Based on the homology and similarity, the isolate was classified as Nocardiopsis sp. MSA13A. Sponge-associated actinobacteria have been reported to be prolific source of secondary metabolite producers [15, 16] and suggested to attribute largely to the chemical defense mechanisms of their host sponges against predators with biologically active compounds (repellents) and biofouling ( and references therein).
Interaction of NPs with actinobacterium
Foam method was used in the production of Fe NPs which were long and fiber shaped in nature (Figure 1A). The diameter of the synthesized Fe NPs was about 40 nm and they were around 1 μm in length. The SEM results showed fibrous shape of the Fe NPs along with their approximate size. EDS analysis evidenced iron to be the metal in Fe NPs synthesized (Figure 1C). Absence of oxygen indicated that the Fe NPs had not undergone oxidation even though mild exposure to air during the synthesis process. UV–vis spectroscopy of Fe NPs showed an absorption peak at 230 nm (data not shown). Fe NPs obviously show peaks at 216 nm and 268 nm in distilled water . The strong absorbance obtained at a wavelength <250 nm indicated that the size of the Fe NPs synthesized was < 40 nm. It was observed that the highest densities of colonies were appeared on the plate with 10 mg/L of Fe nanoparticle. No significant change was observed between fresh and one week old Fe NPs. Growth rate of Nocardiopsis MSA13A was induced significantly by Fe NPs at 10 mg/L. The effect of Fe NPs at 100 mg/L and lower than 10 mg/L showed least or no effect on the growth of Nocardiopsis MSA13A. The reduction in cell density on addition of high concentration of Fe NPs was probably due to aggregation in the medium leading to damage of the growing cell [19–21]. The present study evidenced Fe NPs was non-toxic to actinobacterium whereas Cu NPs were reported to be toxic to bacterial cells . Little change was observed with one week old Fe NPs indicating the variation in toxicity of the NPs probably due to their oxidation but still the overall effect had remained the same. To avoid oxidative effect on Fe NPs, the present study was carried out with freshly prepared Fe NPs. The Fe NPs positively interacted with actinobacterium which was evident from the intact filamentous morphology of Nocardiopsis MSA13A treated with 10 mg/L of Fe NPs for 4 h (Figure 1C).
Influence of Fe NPs on biosurfactant production
The production of biosurfactant by Nocardiopsis MSA13A was increased to 80% over control (without NPs) at 10 mg/L Fe NPs (Figure 2). It was recorded that the production of biosurfactant decreased at higher concentration of Fe NPs. The initial increase in production was due to the effect of Fe nanoparticle providing more nutrition to the organism by activation of the medium . Electron donating nature of the Fe2+ ion has been studied previously which satiates the demand of the organism for electron . Ehrlich  reported that some bacteria can acquire energy for growth from oxidation of Fe2+ to Fe3+. Fe is an important enzyme activator, specifically of isocitrate lyase, an enzyme involved in cell growth on hydrophobic substrates. This enzyme is essential for cell to modulate metabolic pathway of acetyl-CoA and convert it into a C4 unit during biosurfactant synthesis . The microorganisms have developed a variety of strategies for acquiring iron while simultaneously protecting them from the potential toxicity of iron . The main strategies used by bacteria and fungi to acquire iron include producing and utilizing siderophores.
Optimization of biosurfactant production under SSC
The production of biosurfactant by Nocardiopsis MSA13A was increased substantially with treated molasses (distillery waste) as substrate (E24 35%) followed by tannery pretreated sludge (20%), pre-treated molasses (20%), tannery treated sludge (20%) and wheat bran (18%). Enhanced biosurfactant production by Nocardiopsis MSA13A under SSC was achieved with glucose as carbon source, yeast extract as nitrogen source, pH 7.0, 2% NaCl, and asparagine as amino acid. The production of biosurfactant by Nocardiopsis MSA13A was consistently increased between 30°C and 40°C. The influence of metal ions such as CuSO4, MnCl2, MgSO4 and FeCl3 on the production of biosurfactant by Nocardiopsis MSA13A was evaluated under SSC. Among the metal ions screened, FeCl3 was most essential metal ion for enhanced biosurfactant production by Nocardiopsis MSA13A followed by CuSO4. The strain showed maximum production on the substrate inoculated with 2.5 ml inoculum. The moisture content required for the maximum production of biosurfactant was >80%. Factors optimized under one-factor at a time experiments are given in supplementary figure. The strain Nocardiopsis MSA13A produced maximum biosurfactant on treated molasses with 3% glucose as carbon source and 2% yeast extract as nitrogen source (Figure 3A and B). The strain required a higher amount of carbon source compared to that of the nitrogen source concentration based on the effect of C/N ratio.
Optimization of biosurfactant production using Response Surface Methodology (RSM)
Statistical optimization of biosurfactant production was carried out by Design-Expert software package (Stat-Ease, Inc., USA). The R2 value of 0.9406 which was closer to 1 shows the model to be stronger and it can better predict the response. The model was found to be significant with p < 0.0001 and insignificant lack of fit (Additional file 1). The behavior of the system is explained by the following quadratic model equation
Validation of the model
The predicted value of Y by the above explained quadratic model was found to be 72%. The experimental value obtained was 83%. The difference in the predicted and the experimental value can be attributed to Fe NPs. The Fe NPs might have induced the metabolic pathway of biosurfactant synthesis. It was found that the production was significantly influenced by the variables such as glucose, yeast extract, Fe NPs and inoculum size either interactively and/or independently. A significant interactive influence of primary control factors such as glucose and yeast extract was validated in the RSM design. The glucose and yeast extract interactively reached a central value to influence the production maxima over a stable area (Figure 4A). The Fe NPs and inoculum size interactively increase the production and the stable production was attained with the influence of both factors independently (Figure 4B). The present results are first report on the optimization of biosurfactant production using Fe NPs.
Chemical characterization of biosurfactant
Based on the TLC analysis, carbohydrate and lipid fractions were separated. The FT-IR spectra (Figure 5A) and GC-MS data (Figure 5B and C) showed that the compound produced by Nocardiopsis MSA13A was a glycolipid with a hydrophobic non-polar hydrocarbon chain (hexacosanoic acid, propyl ester) and hydrophilic part of the compound being a sugar methyl-4- O-methyl-β-D-xylopyranoside. Retention times, relative intensities (%) and EIMS of the relevant peaks are as follows: Peak A: 10.591, 30, EIMS m/z (% rel. intensity), 87.1 (100), 79.1 (30), 76 (70), 71 (40), 60.4 (20), 58.3 (40) and 52.3 (15). Peak B: 18.058, 100, EIMS m/z (% rel. intensity), 420 (70), 105 (20), 100 (30), 60 (60), 40 (100), 20 (15). It was established that GC-MS was a standard technique in carbohydrate analysis  and based on the previous reports, the peaks obtained the present study was matched with methyl-4- O-methyl-β-D-xylopyranoside.
Antibiofilm activity of biosurfactant
A prominent shrimp pathogen Vibrio aliginolyticus treated with 300 μg/ml of biosurfactant significantly disrupted the pre-formed biofilm (Figure 6). The biofilm disruption was indicated by the absence of visible film on the wall and bottom of the tube when the glass tube was incubated with biosurfactant (300 μg/ml) for 30 min at 28°C. Lower concentration was effective but not disrupted the biofilm completely. Vibriosis was by far the most significant factor of aquaculture loss in many countries. Vibrio is a serious pathogen of marine fish and invertebrates, particularly penaeid shrimp . The finding of the present study brings out a new biosurfactant derivative from marine actinobacterium which could effectively disrupt pathogenic biofilms.
Identification of bacterial responses provides vital information on the influence of NPs on microorganism. Due to their tiny size and stabilization , as well as high surface to volume ratio nanomaterials can easily influence the growth as well as secondary metabolite production of microorganisms, but this effect is not always negative in nature. In this study Fe NPs was used to enhance biosurfactant production by actinobacterium, since Fe is an essential nutrient for almost all microorganisms because it plays an important role in optimum cell growth as well as cofactor for a large number of enzymes, is a part of cytochromes and is required for many biochemical reaction, including respiration, photosynthetic transport, and DNA synthesis . It has been hypothesized that the use of metal salt as supplements in the fermentation process would retain the non-metal salt ions such as Cl- or SO42- as impurity in the medium. Therefore, the use of metal NPs as supplement would reduce residual effect of metal salts in the fermentation products. Based on the findings, the NPs could be used as inducer of metabolic pathway of actinobacterium for enhanced production of biosurfactant under SSC. The present study evidenced that the biosurfactant can be used to effectively disrupt and/or to prevent Vibrio sp. biofilms in shrimp aquaculture.
Isolation, screening and identification of marine actinobacterium
The collection and isolation of actinobacteria from the marine sponge Dendrilla nigra was performed as per the procedure of . Briefly, 1 cm3 of sponge tissue was excised from the internal mesohyl area using a pair of sterile scissors. The excised portion was homogenized with phosphate buffered saline using a tissue homogenizer. The aliquot was placed on various isolation media including marine sponge agar  and standard media (HiMedia). The inoculated plates were incubated at 27°C for 14 days in dark. The incubation temperature was reduced to achieve a near environmental temperature (25°C) range prevailed at the site of sponge collection. The morphologically distinct colonies were reisolated and maintained on actinomycetes isolation agar (HiMedia) at 4°C. The isolates were screened for biosurfactant production using drop collapsing test, oil displacement test , lipase activity , and hemolytic activity . Emulsification activity was performed according to Paraszkiewicz et al. . All the assays were performed in triplicate with distilled water as control. The actinomycetes isolation agar was included as negative control in the screening as to determine the effect of medium on the emulsification index of the isolate. The producer strain MSA13A was identified morphologically and biochemically according to the method of Lechevalier  and the genomic DNA was obtained by the method of Ferrara et al. . For the 16S rRNA sequencing the PCR analysis was performed as follows: Universal 16S rRNA eubacterial primer (5′-GAGTTTGATCCTGGCTCAG-3′; 5′-AGAAAGGAGGTGATCCAGCC-3′) was used for the amplification of 16S rRNA. The 16S rRNA gene sequence (FJ372669) obtained from the isolate MSA13A was compared with other bacterial sequences by using NCBI megaBLAST (http://blast.ncbi.nlm.nih.gov/Blast.cgi) for their pair wise identities. Phylogenetic tree was constructed in MEGA 4.0 version (http://www.megasoftware.net) using unweighted pair group method with arithmetic mean (UPGMA) algorithms (data not shown).
Synthesis of Fe
Foam method was followed in the synthesis of Fe NPs chemically . The NPs were synthesized in small batches of 0.27 g. Initially, 200 ml of FeSO4.7H2O solution (6 g/L) was prepared along with 250 ml of the cationic surfactant CTAB (3.2 g/L). Both the solution was thoroughly mixed for 10 min on a magnetic stirrer. NaBH4 solution (22 g/L) was prepared in 15 mL of deionised water and mixed with FeSO4.7H2O-CTAB solution for 15 min on a magnetic stirrer. On addition of NaBH4, the clear solution turned black in colour indicating the production of Fe NPs. The NPs were allowed to settle down for 15 min. The solution was flushed with acetone for six times and stored in acetone.
Effect of NPs on growth of marine actinobacterium
Marine actinobacterium MSA13A (originally designated as actinobacterium MSA10) was cultured in actinomycetes broth (Himedia) with 1% glycerol and 2% NaCl at 30°C for 5 d to reach its exponential growth phase. NPs obtained by foam method were sonicated in phosphate buffered saline (PBS) for 30 min at 40 Hz until completely dispersed in the saline without any signs of agglomeration. The artificial dispersant was not used in the present study as they might interfere the interaction of NPs with biosurfactants. Freshly prepared as well as one week old Fe NPs dispersed in PBS to prepare broad range aliquots (0.01 to 1000 mg/L) and added into the culture of exponentially growing marine actinobacteriun MSA13A. Resultant actinobacterium-nanoparticle conjugate was incubated at 30°C for 24 h. The conjugate was diluted to 104 fold and 10 μL each was plated on actinomycetes agar supplemented with 2% NaCl to determine growth rate by colony plate count method. After 5 d of incubation at 30°C, the number of colonies on triplicate plate was counted and calculated percent growth rate over control.
Influence of NPs on biosurfactant production
The biosurfactant production was optimized in the preliminary phase under submerged fermentation (SmF) conditions. For the SmF, actinomycetes broth (Himedia) with trace elements - ZnSO4.7H2O-0.29 g, CaCl2.4H2O - 0.24 g, CuSO4.5H2O - 0.25 g, MnSO4.H2O-0.17 g/100 ml were used as production medium. 500 ml Erlenmeyer flasks containing 200 ml of medium was inoculated with actinobacterium and incubated at 30°C for 7 days. Based on the SmF conditions (data not shown), the production medium without trace elements were used for determining the effect of NPs on biosurfactant production.
Biosurfactant production medium without trace elements was enriched with a broad range of Fe NPs (0.01 to 1000 mg/L) and the growth rate of actinobacterium during the fermentation process was estimated based on OD at 600 nm (UV–vis spectrophotometer AU-2701). The emulsification index E24 was determined to find the effect of NPs on biodurfactant production. Briefly, olive oil was added to the cell free supernatant in a ratio of 1:1 and vortexed vigorously for 2 min. After 24 h of incubation, the height of the emulsified layer was measured and compared with the total height of the liquid layer and multiplied by 100 (E24). The direct effect of NPs on the biosurfactant activity was determined based on emulsification index. The cell free supernatant was extracted at least three times with chloroform–methanol (3:1, v/v), with 15 mL of this solvent mixture being used for each extraction. The organic phase was concentrated - at 40°C in a rotary vacuum evaporator (Yamato). Various concentrations of Fe NPs were mixed with biosurfactant extracted and incubated for 24 h. The E24 was then determined with olive oil emulsion as described above.
Ethanol suspensions of immediately synthesized Fe NPs were vortexed and a thin, uniform smear was prepared on the surface of a cover slip. Sample prepared was then placed on carbon tape and was sputter-coated with carbon for SEM (S-3500 N Hitachi) observation. The interaction of Fe nanoparticle with the actinobacterium was observed under SEM. The exponentially growing actinobacterium were centrifuged at 1000 rpm for 10 min. The pellet obtained was resuspended in PBS containing the dispersed Fe nanoparticle and this actinobacterium-nanoparticle conjugate was incubated at room 30°C for 4 h. This conjugate was used to prepare thin and uniform smear on the surface of a cover slip. It was properly dehydrated and was placed into a carbon tape which was sputter-coated with carbon for SEM observation.
Energy-dispersive spectroscopy (EDS, Thermo, USA) was performed to determine the composition of the NPs. Along with freshly synthesized Fe NPs, one week old Fe NPs were also used as to find oxidative effect on the NPs. The spectral analysis was used to confirm the presence of elemental iron. It was also used to analyze the oxidized state of Fe NPs. Absorption spectrum of the synthesized Fe nanoparticle was measured by OD 500–900 nm scan in a UV–VIS spectrophotometer. Fe NPs were used without any dilution.
Optimization of biosurfactant production under solid state culture (SSC)
For the development of SSC, the production substrate was developed using agro-industrial and industrial waste . Based on the preliminary screening results, treated molasses (distillery waste), tannery pretreated sludge, pre-treated molasses, tannery treated sludge and wheat bran were selected for optimization experiments. The substrates were dried at 60°C in an oven prior to SSC formulation. The bioprocess was developed as per Kiran et al. . Optimization of biosurfactant production was carried out by search one at a time experiments. Factors such as carbon and nitrogen sources, pH, temperature, amino acids, metal ions, inoculum size and salt concentration affecting the biosurfactant production were determined (Additional file 1). Subsequently response surface methods (RSM) were applied to analyze the interactions between the critical control factors [37, 38]. In the RSM experiments, the ferric chloride was replaced with Fe NPs to determine the effect of NPs on biosurfactant production. The variables including glucose, yeast extract, Fe NPs and inoculum size that have effect on the production of biosurfactant were identified by the optimization experiments. Each independent variable was investigated at a high (+1) middle (0) and a low (-1) level. Runs of center points (control) were included in the matrix.
Chemical characterization of biosurfactant
Extraction of glycolipids was performed with 100 mL of distilled water added to the SSC flasks and was agitated for 1 h at 200 rpm at 30°C on an orbital shaker. The suspension was filtered through cheesecloth, the excess liquid being squeezed out manually. This procedure was repeated three times. The extract was centrifuged for 10 min at 12,500 × g, and the supernatant was extracted at least three times with 15 mL each of chloroform–methanol (3:1, v/v) . The organic phase was concentrated at reduced pressure at 40°C, giving rise to a crude extract containing the glycolipids. Glycolipids were quantified in terms of rhamnose using the phenol-sulfuric acid method  with sugar (rhamnose) as the standard. A control sample prepared from uncultured medium in order to check for interference from medium components. The presence of rhamnolipids was determined using correction factor . To purify the surface active compound, the ethyl acetate extract was resolved through a column chromatography on reverse phase silica gel (230–400 mesh). Elution was performed with methanol from 65% to 100% at a flow rate of 0.5 ml/min at 30°C. An Agilent GC-MS system equipped with a fused silica capillary tube was used to analyze the components in this active fraction. The data was processed by GC-MSD Chemstation column condition was programmed as column oven temperature 150°C (4 min)–4°C/min, temperature of injection port 250°C and detector port 280°C. The peaks of the gas chromatography were subjected to mass-spectral analysis. The spectra were analyzed from the available library data. NIST MS search (version 2.0) (included with NIST’02 mass spectral library, Agilent p/n G1033A).
Antibiofilm activity of biosurfactant
The biofilm strains were inoculated in LB broth and incubated at 37°C for 24 h. After incubation the cells were washed and resuspended in phosphate buffered saline (pH 7.2) to a turbidity equivalent to a 0.5 M McFarland standard. The 96- well U-bottomed microtitre plates were filled with 80 μl of LB broth, 10 μl of each cell suspension and 10 μl of each test concentration in triplicate. The control was set with newly developed biofilm. Triplicate wells each were set with biosurfactant concentrations such as 50, 100, 150, 200, 250 and 300 μg/ml. Plates were incubated on a platform shaker. After 24 h the planktonic cells and spent media were discarded, and adherent cells were rinsed with deionized water. Then the plates were allowed to air dry. The biofilms were stained by 200 μl of 0.4% crystal violet for 10 min. After staining the dye was discarded and the wells were rinsed twice with deionized water. The plates were air dried and 200 μl of dimethylsulfoxide was added to each well. The OD was determined at 595 nm in a microplate reader (data not shown). The SEM analysis was performed on preformed biofilm treated with effective concentration of biosurfactant as determined in the microplate assay. The biofilm disruption was evident from SEM observation.
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ANL is thankful to DBT for JRF. JS is thankful to Department of Biotechnology, Govt of India for research grant. This is an outcome of DBT project No. BT/PR14678/AAQ/03/538/2011.
The authors declare that they have no competing interests.
JS designed, monitored and written the paper. ANL has performed Fe NPs synthesis and biofilm disruption part, GSK performed optimization part and AD and SP helped the lab experiments performed by GSK. All authors read and approved the final manuscript.
Electronic supplementary material
Additional file 1: Table S1: Factors considered for the optimization of biosurfactant production under solid state culture (SSC). Table S2. ANOVA analysis of the optimization of production by Nocardiopsis MSA13A. Figure S1. Effect of various substrates including agro-industrial and industrial waste on the production of biosurfactant. The SSC was performed with basal medium 6 ml/250 ml flask, substrate 5 g/250 ml flask and 7 ml/5 g substrate. Figure S2. Effect of various carbon sources on the production of biosurfactant. Figure S3. Effect of various nitrogen sources on the production of biosurfactant. Figure S4. Effect of pH on the production of biosurfactant. Figure S5. Effect of tempertaure on the production of biosurfactant. Figure S6. Effect of incubation period on the production of biosurfactant. Figure S7. Effect of metal ions on the production of biosurfactant. Figure S8. GC-MS data of purified biosurfactant fraction. (DOC 83 KB)
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Kiran, G.S., Nishanth, L.A., Priyadharshini, S. et al. Effect of Fe nanoparticle on growth and glycolipid biosurfactant production under solid state culture by marine Nocardiopsissp. MSA13A. BMC Biotechnol 14, 48 (2014). https://doi.org/10.1186/1472-6750-14-48