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Statistical optimization of xylanase production, using different agricultural wastes by Aspergillus oryzae MN894021, as a biological control of faba bean root diseases

Abstract

Background

Xylanase enzyme plays an important role in nature as being a part of protecting the environment from pollution. It has also various industrial applications.

Main body of abstract

Marine fungal isolate was recovered from red sea water at Sharm El-Sheikh province, Egypt, and tested for xylanase activity, using different agricultural wastes as a substrate. It was found that rice straw was the best substrate for xylanase production (0.37 U/ml). Thus, it was subjected for identification by 18S rDNA gene. The phylogenetic analysis results indicated that this fungal isolate belonging to Aspergillus species with a similarity of 99% and named as A. oryzae SS_RS-SH (MN894021). The regular two-level factorial design was used to optimize the important medium components, which significantly affected the xylanase production. The model in equation suggested optimal conditions of 2% of rice straw, 8 g/l of yeast extract, 4 g/l of (NH4)2SO4, 2 g/l K2HPO4, and 2.5 g/l MgSO4.7H2O for a maximum xylanase yield. The antifungal activity of crude xylanase on mycelial growth of some pathogenic fungi isolated from different hosts was investigated. The results showed that xylanase T1 had a potent antifungal activity than control. Greenhouse experiments indicated that all treatments with xylanase at different concentrations significantly decreased infection occurrence of beans, which have been effectively infected with root rot pathogens, compared to unprocessed control treatments.

Short conclusion

Xylanase yield increased 2.43-folds than initial screening. The xylanase had a potential antifungal activity both in vitro and under greenhouse conditions. The outcome of this study ensured that this fungal strain could be used as biological control for plant disease.

Background

Xylanase (E.C.2.8.1.8) is defined as a set of hemicellulose, which is necessary for the hydrolysis of 1, 4-xylans present in lignocellulostic materials (Jae et al. 2009). It plays an important role in nature as being a part of protecting the environment from pollution because of its alternative way to chemical hydrolysis (El Shamy et al. 2016). Industrial applications of xylanase depended upon its ability to hydrolyze xylan, which is the abundant natural polysaccharide (Polizeli et al. 2005). Xylanase from different microorganisms such as fungi, bacteria, and few yeast strains have gained interest owing to their prospective uses in numerous industrialized manners such as hydrolyses production, nutritive enhancement of lignocellulosic feedstuff, wines and liquids clearing up, and bio-bleaching of craft soft tissue in paper manufacturing, food additives, poultry, improving the handling of dough used for extraction of coffee, plant oils and extraction of starch (Shabeena et al. 2017 and Nitin et al. 2017).

The greatest shared industrialized xylanase producing microorganisms are the species of Trichoderma and Aspergillus along with the bacterial strains as Bacillus species (Sapag et al. 2002). Fungi have been broadly used to deliver hydrolytic enzymes for industrialized applications, comprising xylanases, whose levels in fungi are commonly a lot higher than in yeast and microscopic microorganisms (Atalla et al. 2020).

Some of the most commonly agro-residues used as a cheap and renewable carbon source for xylanase production and for developing biotechnological processes of industrial interest; as wheat bran (El Shamy et al. 2016), wheat husk (Kumar et al. 2018), different and numerous of agricultural wastes, and different vegetable leaf industries and groundnut shell (Rosmine et al. 2017; Sindhu et al. 2017). A recent study also showed that wastewater from the pulp industry was reused as medium for xylanase production (de Queiroz-Fernandes et al. 2017).

Plackett-Burman design (PBD) is a powerful statistical technique to screen “n” variables in just “n + 1” in a shake flask experiment, which is used to reduce the total number of experiments, as it commonly used to optimize fermentation processes. This technique cannot determine the interaction effect, but it is very useful for the first step of an optimization procedure. As well as, it evaluates the essential of each factor in moderately few experiments (Bharti 2016; Plackett and Burman 1946).

The aim of this work was xylanase production from different agriculture wastes by genetically identified marine fungal Aspergillus oryzae strain. Then, the significant nutritional elements of Plackett-Burman design and assessment of their optimum concentrations in the cultivation medium were selected for competent production. Finally, its application as a biological control for faba bean root diseases.

Materials and methods

Microorganism

Marine fungal strain, Aspergillus oryzae MN894021, was isolated from the red sea water at Sharm El-Sheikh province, Egypt, and identified by 18S rRNA gene. The fungal culture was maintained on a medium containing glucose 1.0 g/l, peptone 0.5 g/l, yeast extract 0.1 g/l, agar 15 g/l, 800 ml sea water, and 200 ml distilled water (Jenkins et al. 1998), incubated at 30 °C for 7 days and then kept at 4 °C for storage.

Molecular identification of fungal isolate

DNA isolation, PCR amplification, and sequencing

DNA extraction was done, using the protocol of Gene Jet genomic DNA purification Kit (Thermo# K0791), following the manufacture of the kit. The PCR amplification of 18S rDNA region was carried out, following the manufacture of Maxima Hot Start PCR Master Mix (Mix (Thermo) #K0221). The 18srDNA was amplified by polymerase chain reaction (PCR), using primers designed to amplify 1500 bp fragment of the 18SrDNA region. The ITS1–5.8S–ITS2 genomic region was amplified from genomic DNA, using the forward primer ITS1 (5-TCCGTAGGTGAACCTGCGG-3) and the reverse primer ITS4 (5-TCCTCCGCTTATTGATATGC-3) (Hamed et al. 2015; White et al. 1990).

The PCR reaction was performed with 2 μl of 10 X Taq PCR buffer, 1.6 μl from 2.5 mM dNTP mixture, 1 μl of both forward and reverse primers (10 pmol/μl), 2 μl template genomic DNA (20 ng/μl), 0.2 μl from KOMA-Taq. (2.5 U/μl), and distilled water (HPLC grade) up to 20 μl. The reaction mixture was as follows: initial denaturation at 95 °C for 1 min, 30 cycles dent. 95 °C for 30 s, annealing 55 °C for 2 min, extension 68 °C for 1.5 min, final extension 68 °C for 10 min for 1 cycle. After completion, the PCR products were electrophoresed on 1% agarose gels, containing ethidium bromide (10 mg ml), to ensure that a fragment of the correct size had been amplified.

The amplification products were purified by Montage PCR clean up kit (Millipore). The purified PCR products were sequenced, using the 2 primers that were used before in the PCR reaction. Sequencing was performed by big Dye Terminator Cycle Sequencing kit V.3.1 (Applied Biosystems, USA). PCR products were resolved on an Applied Biosystems model 3730XL automated DNA sequencing system (Applied Biosystems, USA) at the Macrogen, INC, Seoul Korea.

Phylogenetic analysis and tree construction

Phylogenetic data were obtained by aligning the nucleotides of different 18S rRNA retrieved from BLAST algorithm (www.ncbi.nlm.nih.gov/BLAST), using the CLUSTAL W program version 1.8 with standard parameters. Phylogenetic and molecular evolutionary analyses were conducted, using Mega 6 program (Tamura et al. 2013). All analyses were performed on a bootstrapped data set containing 100 replicates (generated by the program).

Pathogenic fungi

The tested soil-borne pathogenic fungi were Fusarium (F) solani, F. chlamydosporum, F. incranatum, Rhizoctonia solani, Sclerotium rolfsii, Macrophomina phaseolina, Sclerotinia sclerotiorum, and Botrytis cinerea. These fungi were isolated from various hosts, showing root rot and or damping-off disease symptoms. All isolates were identified according to Booth (1985); Barnett and Hunter (1986), and Simmons (2007).

Substrates

Different agricultural wastes (potato peel, orange peel, corn cobs, rice straw, soybean, sawdust, and wheat bran) were used as substrates for xylanase production under greenhouse conditions. All wastes were washed, dried at 70 °C in an oven, and powdered, using a blender before use. One substrate further was selected to give the maximum xylanase production (El Shamy et al. 2016).

Production medium

According to Cunha et al. (2018), the medium used for xylanase production was composed of (%): 0.4 peptone, 0.4 yeast extract, 0.2 KH2PO4, 0.8 (NH4)2SO4, 0.25 MgSO4.7H2O, 2% substrate at pH 7.0. A 50 ml of fermentation medium into a 250-ml Erlenmeyer flasks was inoculated by two disks in diameter from the fungal strain and incubated on rotary shaker at 150 rpm, on 30 °C for 7 days.

Xylanase assay

Determination of enzyme activity was carried out according to the method of Monreal and Reese (1969): One milliliter of 1% birch wood xylan (Sigma Aldrich, St. Louis, USA) in acetate buffer (pH 4.6) in test tubes was added to 1 ml of the culture filtrate and mixed by shaking. The mixture was incubated in a water bath at 50 °C for 30 min, then cooled and centrifuged before assaying. The amount of reducing sugars was determined with 1 ml of 3, 5-dinitrosalicylic acid (DNS). One unit of enzyme activity was taken from the catalyst one micromole of substrate in 1 min under specific conditions.

Experiment design and statistical analysis

The regular two-level factorial design was used to optimize the important medium components, which converting affected on xylanase production by A. oryzae MN894021. Five indented variables (different substrate concentrations, yeast extract, (NH4)2SO4, K2HPO4, MgSO4.7H2O) were investigated, using regular two-level factorial design at two levels, low level (−1) and high level (+1) (Table 1).

Table 1 Variable codes and their levels employed in the two-level factorial design for screening of medium components affecting xylanase production by Aspergillus oryzae MN894021

Factorial experiment design is based on the first-order model equation: Y = β + ∑βixi, where: Y is the response (enzyme activity), β is the model coefficient, βi is the linear coefficient, and xi is the level of the independent variable.

In the present study, 5 factors were screened in 32 experimental designs. All experiments were carried out in duplicate and the averages of xylanase activity were taken as response (Table 2). An analysis of variance (ANOVA) for the obtained results was used. For designing the experiments, analysis of variance and the Design-Expert 12 software from StatEase, Inc. were applied.

Table 2 Two-level factorial design of variables (in coded levels) with actual values and predicted response

Evaluation of the efficiency of crude xylanase grown on rice straw against different fungal isolates by agar well diffusion method

Crude xylanase from A. oryzae MN894021 was screened for antifungal activity, using a sterile cork borer of size 6.0 mm in diameter according to Bobbarala et al. (2009). Potato dextrose agar (PDA) (Sigma Aldrich, St. Louis, USA) plates were inoculated by old cultures grown for 72 h (PDA) of the selected pathogenic fungal strains. An aliquot (0.02 ml) of inocula was introduced to molten PDA and poured into Petri dish by pour plate technique. A distance 500 μl of filtrate of crude xylanase solution was homogenized, filled in deep blocks, and incubated at 25 °C for 48-72 h. The antifungal activity was evaluated by measuring inhibition of mycelial growth (in millimeter) and the experiment was carried out in triplicates. The toxicity of the extracts to fungi growth, in terms of percentage inhibition of mycelial growth was calculated, using the formula: % inhibition = dc − dt/dc × 100, where dc = average increase in mycelial growth in control, dt = average increase in mycelial growth in treatment (Singh and Tripathi 1999).

Green house experiment

Source of faba bean seeds

Faba bean (Vicia fabae L.) cultivar Giza 40 used in this study was obtained from Legume Crop Research Department, Field Crop Research Institute, Agriculture Research Centre, Ministry of Agriculture, Egypt. Three fungal pathogens, F. solani, M. phaseolina, and R. solani showed high percentages of infection and evaluated the antifungal activity of crude xylanase on different concentrations of rice straw waste under greenhouse conditions on faba bean were evaluated. Sandy clay soil was transferred in pots. Inoculum from each of the above cultures was colonized separately and was infected at the rate of 3 g/100 g soil. The disinfected bean seeds were coated with crude xylanase at the rate of 5 ml/kg seeds. Seed dressing was carried out by applying the xylanase to the gum-moistened seeds in polyethylene bags and shaked well to ensure even distribution of the added materials. The treated seeds were then left on a plastic tray to air dried. Three replicates were used per treatment. Pathogen free-seeds were surface sterilized and planted (5 seeds/pot) in both inoculated and non-inoculated soils. All pots were maintained in greenhouse conditions. Fifteen days after sowing, the disease ratios were determined by recording the number of non-emerged seeds (pre-emergence damping-off), while post-emergence root rot was recorded from (30 to 45 days after sowing). The equation described by Khalifa (1987) was followed:

$$ \mathrm{Pre}-\mathrm{emergence}\ \left(\%\right)\ \mathrm{damping}\ \mathrm{off}=\mathrm{no}.\mathrm{of}\ \mathrm{non}-\mathrm{emerged}\ \mathrm{seeds}/\mathrm{no}.\mathrm{of}\ \mathrm{sown}\ \mathrm{seeds}\times 100 $$
$$ \mathrm{Post}-\mathrm{emergence}\ \left(\%\right)\ \mathrm{damping}\ \mathrm{off}=\mathrm{no}.\mathrm{of}\ \mathrm{dead}\ \mathrm{seedling}/\mathrm{no}.\mathrm{of}\ \mathrm{sown}\ \mathrm{seeds}\times 100 $$

Statistical analysis

Tukey test for multiple comparisons among means was utilized (Neler et al. 1985).

Results and discussion

Molecular identification of the isolate

DNA isolation and PCR amplification

The DNA content of SS_RS-SH strain was endangered to PCR via common primers to magnify the ITS1 and ITS4 sections among the minor and major genomic rDNA, comprising the 18S rDNA. The present primers improved a DNA piece of about 579 bp. The present outcome was in contract with Rasul et al. (2007) who originated that these primers were exact for fungus and an augmented DNA piece of about 560 bp expending some fungus. Aspergillus oryzae SS_RS-SH nucleotide sequence (520 bp) was blasted by the presented GenBank data via NCBI-BLAST search (www.ncbi.nlm.nih.gov/BLAST) to associate the SS_RS-SH isolate with individuals of Aspergillus sp. strains. The consequences presented the extraordinary sequence correspondence species (99%) with A. oryzae.

Phylogenetic analysis and GC%

The phylogenetic tree (Fig. 1) disclosed that SS_RS-SH isolate was the greatest nearly correlated to A. oryzae. Thus, it was suggested a name, A. oryzae SS_RS-SH. The G + C% was unique of numerous universal structures utilized to identify the fungi genomes. The GC content of the SS_RS-SH isolate was 58 mol% achieved from the phylogenetic analysis. This outcome was in agreement with those by Nakase and Komagata (1971) who revealed that the G + C content of fungus varied from 31.5 to 63%, depending on each class, genus, and species.

Fig. 1
figure1

Phylogenetic relations of Aspergillus oryzae SS_RS-SH and intimately correlated species from the GenBank list, based on 18S rDNA sequence correspondence

GenBank ID

The nucleotide sequences of 18S rRNA gene of A. oryzae SS_RS-SH were dumped in the Gen Bank under accession number: MN894021.

Production xylanase using different agricultural wastes

Different agricultural wastes (potato peel, orange peel, corn cobs, rice straw, soybean, saw dust, and wheat bran) were used as substrates for xylanase production from A. oryzae MN894021. The results in Fig. 2 showed that a maximum xylanase activity was at 0.37 U/ml, using rice straw waste as substrate, followed by soybean and corn cobs produced (0.32, 0.29 U/ml), respectively, while saw dust, orange peel, and wheat bran produced (0.25, 0.46 and 0.17 U/ml), respectively and exhibited low xylanase production. Comparatively less xylanase production observed with potato peel waste produced 0.18 U/ml. These results proved that rice straw was the best substrate for xylanase production, using A. oryzae MN894021. de O Souza et al. (1999) proposed that xylanase production by few fungal strains utilizing agricultural wastes relied upon the substrate structures, selection of fermentation style, and conditions just as downstream handling of the delivered enzymes. These results were greater than that obtained by Soroor et al. (2013) who reported that total xylanase activity of 0.005 and 0.002 U/ml in a basal medium complemented with rice straw as C-source. As well as, obtained results were coincided with Anthony et al. (2003) who found that A. fumigatus formed extraordinary levels of xylanase from rice straw.

Fig. 2
figure2

Effect of different agricultural wastes on xylanase production by Aspergillus oryzae SS_RS-SH

Optimization of medium components for xylanase production

The statistical design was used to improve medium constituents that improving xylanase production from A. oryzae MN894021, using the rice straw as substrate. The two-level factorial design optimized significant variables along with their interactions on xylanase production. Several studies reported that statistical methods have been applied for optimization of microbial enzyme production and the enzyme yield was increased (Vishwanatha et al. 2010).

In the present study, a two-level factorial design was successfully applied to test the relative importance of medium components on xylanase production. The two-level factorial design with both the actual and predicted responses for the 32 experimental runs was presented in Table 2. The data indicated that there was a wide variation from 0.35 to 0.90 U/ml of xylanase enzyme in the 32 runs, which reflected the caused variations due to the presence of different factors affecting the activity at low and high importance of levels of medium optimization to achieve higher productivity. The results showed that the maximal xylanase yield of 0.90 U/ml was realized in run 14 achieved under optimal experimental conditions with 2.5% rice straw and 9.0 g/l yeast extract, 6.0 g/l (NH4)2SO4, 1.5 g/l K2HPO4, and 2.0 g/l MgSO4.7H2O, while the lowest yield was found in run 31 (0.35 U/ml). Obtained results were greater than those of Park et al. (2002) who denoted that the enhanced xylanase activity of 0.5 U/ml, using rice straw by A. niger culture, was achieved by fractional factorial design of optimization medium conditions and process parameters. As well, the present results were the most close to those obtained by Salihu et al. (2015) who reported that the maximum xylanase activity varied from 1.00 to 1.5 U/ml, using soybean hulls by A. fumigatus NITDGPKA3 and A. niger, respectively, using statistical methods.

The relationship between the medium components and the response obtained from the 32 experiments was predicted by the first-order model equation which was used to explain the xylanase production,

$$ Y=0.6456+0.0613\times \mathrm{A}+0.0819\times \mathrm{B}+0.0994\times \mathrm{C}+0.0144\times \mathrm{A}\mathrm{D}-0.0119\times \mathrm{A}\mathrm{E}+0.0187\times \mathrm{C}\mathrm{D}+0.0137\times \mathrm{C}\mathrm{E}-0.0119\times \mathrm{DE}-0.0169\times \mathrm{A}\mathrm{BD}-0.0131\times \mathrm{A}\mathrm{CD}+0.0131\times \mathrm{A}\mathrm{CE}+0.0187\times \mathrm{B}\mathrm{CD}+0.0113\times \mathrm{B}\mathrm{CE}+0.0119\times \mathrm{B}\mathrm{D}\mathrm{E}+0.0144\times \mathrm{A}\mathrm{BCD}+0.0119\times \mathrm{B}\mathrm{CD}\mathrm{E}-0.0200\times \mathrm{A}\mathrm{BCD}\mathrm{E} $$

where Y predicted response and A, B, C, D, and E are the coded values of substrate concentration, yeast extract, (NH4)2SO4, KH2PO4, and MgSO4.7H2O, respectively.

Analysis of the data from the factorial experiments involved a first-order (main effects) model. The main effects of the examined factors on the xylanase activity were calculated and presented in the Pareto graph (Fig. 3). The Pareto graph was an important tool for analyzing all the parameters, then to focus on the most significant factors. On the analysis of the regression coefficients of the 5 variables, values for (NH4)2SO4, yeast extract, and substrate concentration were significant showing a positive effect on xylanase activity, while KH2PO4 and MgSO4.7H2O were contributed negatively. The analysis of variance (ANOVA) of the main effects of factors showed that the model F value of 24.62 implying the model was significant. There was only a 0.01% chance that an F value this large could occur due to noise, probability values < 0.05, (p < 0.05) indicated that model terms were significant, in these cases A, B, C, CD, ABD, BCD, ABCDE, whereas p values > 0.1 (p > 0.1) indicated that model terms were not significant as shown in Table 3.

Fig. 3
figure3

Experimental xylanase activity contrasted with the predicted xylanase activity under the optimum fermentation conditions

Table 3 Statistical analysis of variance (ANOVA) for the selected factorial design to optimization of xylanase production by Aspergillus oryzae

The p value was the probability that the magnitude of a contrast coefficient was due to random process variability and served as a tool for checking the significance of each of the coefficients, when the concentration effect of the tested variable was positive, the influence of the variable upon xylanase enzyme production was greater at a high concentration. The fit of the model can be checked by the “determination coefficient” R2, R2 = 0.9676. Normally, a regression model having an R2 value higher than 0.90 was considered to have a very high correlation (Haaland 1989). The value of the “Predicted R2” was found to be 0.8309 which has a reasonable agreement with the R2 of 0.9676 and adjusted R2 of 0.9283. This revealed that there was good agreement and a high correlation between the experimental and the theoretical values predicted by the model, and the regression model provided an excellent explanation of the relationship between the independent variables (factors) and the response (xylanase production) and almost all the variation could be accounted for by the model equation. The equation in terms of coded factors can be used to make predictions about the response for given levels of each factor. By default, the coded equation is useful for identifying the relative impact of the factors by comparing the factor coefficients.

Figure 4 shows that the actual response values agreed well with the predicted response ones. This model can be used to predict the xylanase production within the limits of the experimental factors. The interaction effects of variables on xylanase were studied by plotting a three-dimensional (3D) surface plot against any two independent variables. The 3D response surface plots described by the regression model were drawn to illustrate the effects of the independent variables and the interactive effects of each independent variable on the variable responses. The interaction among the independent variables such as the substrate concentration, and yeast extract; substrate concentration and MgSO4.7H2O; substrate concentration and K2HPO4; (NH4)2SO4 and K2HPO4; (NH4)2SO4 and MgSO4.7H2O; K2HPO4 and MgSO4.7H2O showed a significant effect on xylanase activity by A. oryzae (Fig. 5a-f). The effect of concentration of substrate and one of the other variables was shown in Fig. 5a-c. Results indicated that the xylanase activity significantly increased with increasing substrate concentration, yeast extract, MgSO4.7H2O, and K2HPO4 and produced (0.90 U/ml). The same results in Fig. 5d-f showed that maximum xylanase activities were at 4 g/l (NH4)2SO4, 2 g/l K2HPO4, and 2.5 g/l MgSO4.7H2O. Obtained results were in agreement with Kanagasabai and Thangavelu (2013) who reported that the ammonium salts ((NH4)2SO4) improved the growth level as well as enhanced the protein appearance by mediating ammonium conforming enzymes; thereafter, xylanase activity was amended.

Fig. 4
figure4

Pareto chart showing the effect of medium components on xylanase activity by Aspergillus oryzae SS_RS-SH

Fig. 5
figure5

3D surface plot showing the interaction between significant factors affecting xylanase production. a Substrate concentration and yeast extract. b Substrate concentration and MgSO4. 7H2O. c Substrate concentration and KH2PO4. d (NH4)2SO4 and KH2PO4. e (NH4)2SO4 and MgSO4. 7H2O. f KH2PO4 and MgSO4. 7H2O

The obtained results indicated that the high yeast extract level had a high contribution to the xylanase yield. These results were in accordance to Cui and Zhao (2012) who denoted that increasing the yeast extract concentration in the medium enhanced xylanase activity by A. awamori NRRL 3112 due to it contained a lot of vitamins, minerals, and amino acids, which are usually used as growth stimulants or growth factors for microbes and may play an important role for the enzyme metabolism resulting in an increase in xylanase activity (Vimalashanmugam and Viruthagiri 2013).

The present results indicated the importance of the substrate concentration for xylanase production. The xylanase activity produced by Penicillium sp. WX-Z1 increased with gradual increase of wheat bran concentration as a substrate (Cui and Zhao 2012). Obtained results showed the xylanase activity was enhanced at a higher level of MgSO4. These results were in agreement with Cui and Zhao (2012) who indicated that the xylanase production could achieve a higher activity when the concentration of MgSO4 was at a higher level between −0.3 and 0.1 (coded value). This enhancement referred to Mg2+ has a positive effect on the stabilization of the ribosome and cellular membranes which relatively enhanced the activity of xylanase. The same phenomenon was observed by Vimalashanmugam and Viruthagiri (2013).

In vitro antifungal activity of crude xylanase

Effect of crude xylanase produced from A. oryzae MN894021, which was grown on rice straw on mycelial growth of some pathogenic fungi isolated from different hosts. Results showed that xylanase T1 showed higher antifungal activity than control and different treatments (Table 4). The highest inhibition with T1 against F. incranatum, B. cinrea, S. rolfsii, and R.solani were (100.0, 66.6, 66.6, 55.5%), respectively. Also, a moderate effect on F. solani, F. chlamydosporum, and M. phaseolina (50.0, 50.0, and 33.3%), respectively, and the weakest effect on S. sclerotiorum (10.0%). In case of T2, T3 and T4 had significant effects on all pathogenic fungi than the control. As also shown in Table 4, the antifungal activity of xylanase extract against some phyto-pathogenic fungi decreased the linear growth of A. alternata, F. oxysporum, Phoma destructive, R. solani, and Sclerotium rolfsii with different degrees of activity against the tested fungi.

Table 4 In vitro antifungal activity of xylanase from A. oryzae on mycelial growth of some pathogenic fungi

Greenhouse experiments

The data in Table 5 showed that all treatments with xylanase at different concentrations could highly significantly reduce disease incidence of beans, which have been artificially infected with root rot pathogens, than the untreated control treatment. Seed coating with xylanase (T1) gave a significant protection to emerged bean seeds against invasion of pathogenic fungi at the pre-emergence stage which recorded (71.5, 100.0, and 90.0% protection) on F. solani, M. phaseolina, and R. solani, respectively. Seed coating recorded more than 70.0% protection than the untreated control. At the post-emergence stage, data also showed that treatment with xylanase (T1 and T2) could reduce the percentages of root-rot incidence, which was higher than the untreated control (treatment with pathogens alone). Treatment with xylanase (T1) caused a reduction in the percentage of root-rot incidence recorded as 75.0, 100.0, and 90.9% in soils infected with F. solani, M. phaseolina, and R. solani, respectively.

Table 5 Effect of applying seed treatment against faba bean root diseases caused by soil-borne fungi under greenhouse conditions

Similar results were obtained by Das et al. (2013) who isolated the highest xylanase production by A. carneus and the highest cellulase production by A. fumigatus and were successfully used in the biodegradation of rice straw compost, which was rich in nitrogen, potassium and silicon. It enhanced plant growth, development, and disease suppression in chili cultivation (Dukare et al. 2011). Obtained results were in agreement to Kausar et al. (2013) who indicated that the rice straw compost was used for chili farming under glasshouse conditions. Chili seeds cv. Kulai were planted in Sclerotium rolfsii tested soil where microbial straw manure expanded seed germination, seedling foundation, plant development, and smothered improvement of foot rot disease which contrasted with utilizing commercial fertilizer and fungicide, Benomyl.

Conclusions

A marine fungal was recovered from the red sea water in Egypt, identified as A. oryzae MN894021, produced about 0.37 U/ml xylanase, using rice straw waste. Statistical optimization using two-level factorial design for xylanase production by A. oryzae using rice straw as raw material showed an improvement of the production on the medium constitutes. Applied treatment of crude xylanase is applicable, safe, and cost-effective method as an antifungal compound. It could have promise success as an alternative to conventional chemical fungicides for the management of plant diseases.

Abbreviations

PDA:

Potato dextrose agar

PCR :

Polymerase chain reaction

Rpm:

Round per minute

bp:

Base pair

GC:

Guanine and cytosine

Pp:

Pomegranate peel

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Acknowledgements

The authors acknowledge National Research Centre especially Chemistry of Natural and Microbial Products Department, Pharmaceutical and Drug Industries Research Division for their support and assurance.

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SA selected the marine fungi, optimization of xylanase, enzyme assay, writing fabricated the XYZ sample for the experiment, NA selected the microorganism, enzymes assay, optimization conditions, enzyme immobilization, fabricated the XYZ sample for the experiments, AE participated in the enzyme immobilization, enzyme assay, writing immobilization part, NG applied the antagonistic effects, green house experiment, HM participated in the strain identification, writing identification part, formatting, and revising the manuscript. All authors have approved the final article.

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Correspondence to Hassan M. Awad.

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Atalla, S.M.M., Ahmed, N.E., Awad, H.M. et al. Statistical optimization of xylanase production, using different agricultural wastes by Aspergillus oryzae MN894021, as a biological control of faba bean root diseases. Egypt J Biol Pest Control 30, 125 (2020). https://doi.org/10.1186/s41938-020-00323-z

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Keywords

  • Marine fungal isolation
  • Identification
  • Xylanase production
  • Statistical optimization
  • Agricultural wastes
  • Faba bean root diseases
  • Biological control