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. 2019 Oct 17;5(10):e02668. doi: 10.1016/j.heliyon.2019.e02668

Antifungal and anti-mycotoxigenic activity of selected South African medicinal plants species

PM Dikhoba a, NI Mongalo b,∗, EE Elgorashi a,c, TJ Makhafola d
PMCID: PMC6806395  PMID: 31692684

Abstract

Antifungal and anti-mycotoxigenic activity of 25 acetone leaf extracts of South African medicinal plants with potent antioxidant activity were investigated against three phytopathogenic fungal strains. The extracts exhibited varying degrees of in vitro anti-mycotoxigenic effect against Fusarium verticillioides, Aspergillus flavus and Aspergillus ochraceous. Markhamia obtusifolia (Baker) Sprague exhibited the lowest minimum inhibitory concentration (MIC) values as low as 0.08 mg/ml against Aspergillus flavus and Furasium verticilloides at both 24 and 48 hr incubation period, while Curtisia dentata exhibited similar MIC value against Aspergillus ochraceous. Curtisia dentata further yielded the highest total activity of 1583 ml/g against Aspergillus ochraceous at 24 and 48 hr incubation period. In the mycelial growth inhibition (MGI) evaluation, Fusarium verticilloides was more sensitive to plants extracts, while Kirkia wilmsii exhibited highest MGI of 50.08% against Fusarium verticilloides on the 6th day of incubation. Five acetone extracts from Acokanthora oppositifolia, Bauhinia galpinii, Combretum caffrum, Ricinus communis and Solanum aculeastrum exhibited lowest IC50 value of 0.01 mg/ml against (2,2’-azinobis-3-ethylbenzthiazoline-6-suphonic acid (ABTS). Curtisia dentata and Markhamia obtusifolia extracts were further subjected to gas chromatography mass-spectrophotometry (GC-MS) analysis. Curtisia dentata revealed the presence of triterpenoid compounds, β-amyrin (53.30%) and α-amyrin (6.42%), while Markhamia obtusifolia yielded the presence of neophytadiene (4.38%) and palmitic acid (3.61%) The results suggest that natural products from plants may well be used as possible substitutes for synthetic fungicides. Given the antifungal and antioxidant potential of the selected plants, they may have potential as possible leads for the development of biofungicides that may well prevent oxidation related food spoilage.

Keywords: Agriculture, Environmental science, Plant biology, Antifungal, Antioxidant activity, Mycelial growth inhibition, Phyto-compounds, Mycotoxins

Agriculture; Environmental science; Plant biology; Antifungal; Antioxidant activity; Mycelial growth inhibition; Phyto-compounds; Mycotoxins

1. Introduction

Agriculture and food industries are suffering from major losses as a result of fungal infections and subsequent mycotoxin contamination of crops and feeds by microorganisms during pre and post-harvest (Mdee et al., 2009). These toxins are mostly produced by ubiquitous, saprophytic fungal strains belonging to the genus Aspergillus, Fusarium, Aternaria, Claviceps and Penicillium. Mycotoxin food contamination is a worldwide food safety problem with an estimate of about twenty-five percent of world's crop annually affected (Garcia et al., 2012). Crop infection by these fungi does not only result into mycotoxin contamination but it also leads to a reduced crop yield and quality that hinders the trade markets of many countries. Consumption of food contaminated with mycotoxins does not only affect plants, but also poses a huge risk to both human and animal health. Occurrence of mycotoxin levels in food systems are mostly regulated by legislations and limits in developed countries. Although some developing and underdeveloped countries adopted these regulations, the enforcement remains less due to socio-economic impacts and unacceptable agricultural practises (Wagacha and Muthomi, 2008).

Exposure to mycotoxins occurs mainly through direct consumption of contaminated crops and plant-derived food or mycotoxin metabolites carried over in animal products (Thompson and Henke, 2000). Studies also show that mycotoxins are associated with several health effects such as carcinogenesis, hepatotoxicity, nephrotoxicity, teratogenicity and mutagenicity (Reddy et al., 2010). Most researches are focused on mycotoxins of agricultural and health importance including among others fumonisins, zearalones, deoxynivalenol, T-2, aflatoxins and ochratoxins which mostly infect maize, wheat and rice (Alshannaq and Yu, 2017). Significant exposure to fumonisin B1 is suspected to increase the risk of oesophageal cancer, while fumonisins are associated with neural tube defects (Marasas et al., 2004). According to van Rensburg et al. (2015), commercially produced maize in South Africa is mainly contaminated with Fusarium verticilloides during pre-harvest. With maize being a staple diet to most of African countries, there is an increased risk of fumonisin consumption (Chelule et al., 2001).

Medicinal plants have been the basis for medicinal treatment through much of human history, and such traditional medicines are still widely practiced today where many people across the world are resorting to these products for treatment of various health challenges in different healthcare settings (Begaa and Messaoudi, 2019). Plants offer excellent perspectives for the discovery of new therapeutic products, some of which can be developed as biofungicides (for prevention of contamination) and nutraceuticals for prevention of mycotoxicosis. These plant-based biofungicides may have low to no toxic effects. Plants are considered to be rich source of secondary metabolites which are pharmacologically active compounds recognised by pharmacologists to have reactions towards sickness. The enormous chemical diversity of plant secondary metabolites presents a valuable resource for possible development of new pharmaceuticals. Several strategies to control mycotoxin contamination both pre-harvest and post-harvest have been applied which include among others the use of atoxigenic fungi/bacteria to control toxigenic fungal strains. Genetically modified crops and synthetic fungicides are also used to control crop contamination by phyto-pathogenic fungi; however, these are expensive to most resource poor farmers (Salako, 2002).

Synthetic fungicides application appears to be the most favored method, but due to negative environmental hazards, long degradation periods and toxigenic fungal strains developing resistance to most synthetic fungicides, there is a need for a search of an alternative less expensive and eco-friendly method to control fungal contamination both pre and post-harvest (Daferera et al., 2000). Medicinal plants harbor valuable secondary metabolites, which have tremendous biological activities against variety of pathogens and may well prevent oxidation in crops (Prakash et al., 2012). The aim of this study is to explore the in vitro antifungal and antioxidant activity of selected South African medicinal plants, with the aim of developing a less expensive, easily biodegradable and eco-friendly bio-fungicide that can be used as a possible substitute to synthetic fungicides. The plants used in the current study were selected based on their availability in the National Botanical Garden (NBI) as the identity of the plant is already confirmed. Only leaves were used due to plant conservation consideration.

2. Materials and methods

2.1. Plant collection

Leaves of twenty-five plant species without symptoms of fungal or bacterial infections were collected from tress growing in the Lowveld Botanical Garden (30˚57ˊ58.16 " E 25˚26ˊ42.61 " S Long 30.96800 Lat -2544669) in the Mpumalanga province, South Africa, in March 2016. Mr Willem Froneman (South African National Biodiversity Institute) confirmed the identity of the plants and matched those in the herbarium with voucher specimen numbers reported (Table 1). The leaves were shade dried at room temperature in a well-ventilated room, pulverised into fine powder and stored in glass bottles in a cool dry place.

Table 1.

Plant species used and their specimen voucher numbers.

Plant species Family Voucher No.
Acokanthera oppositifolia (Lam.) Codd. Apocynaceae Glow179/1986
Apodytes dimidiate E.Mey ex Arn. Metteniusaceae Glow 63/1986
Artemesia afra Jacq. ex Willd. Asteraceae Glow 27/2010
Brachylaena discolour DC. Asteraceae Glow 47/1993
Bauhinia galpini N.E.Br. Fabaceae Glow 27/1986
Millettia grandis (E.Mey.) Skeels Fabaceae Glow 264/1981
Breonadia salicina (Vahl) Hepper & J.R.I. Wood Rubiaceae Glow 137/1985
Capparis tamentosa Lam. Capparaceae Glow 22/1982
Combretum caffrum (Eckl. & Zeyh.) Kuntze Combretaceae Glow 92/1997
Curtisia dentate (Burm.f.) C.A.Sm. Cornaceae Glow 96/1998
Dracaena mannii Bakker Asparagaceae Glow 30/1971
Ficus natelensis Hochst. Moraceae Glow 87/1975
Harpephyllum caffrum Bernh. Anacardiaceae Glow 164/1974
Heteromorpha arborescens (Spreng.) Charm & Schltdl. Apiaceae Glow 88/1972
Kirkia wilmsii Engl. Kirkiaceae Glow 82/1972
Markhamia obtusifolia (Baker) Sprague Bignoniaceae Glow 16/1994
Maytenus undata (Thunb.) Blakelock Celastraceae Glow 157/1986
Mystroxylon aethiopicum (Thunb.) Loes. Celastraceae Glow 51/1983
Ricinus communis L. Euphorbiaceae Glow322/1988
Solanum aculeastrum Dunal. Solanaceae Glow 229/1987
Spirostachys africana Sond. Euphorbiaceae Glow 146/1972
Strychnos mitis S.Moore Loganiaceae Glow 243/1993
Warburgia salutaris (G.Bertol) Chiov. Canellaceae Glow 167/1988
Xylotheca kraussiana Hochst. Achariaceae Glow 228/1990
Zanthoxylum capense (Thunb) Harv. Rutaceae Glow 117/1985
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2.2. Extraction

The powdered leaf material (3g) of each plant species was added to 30 ml acetone-AR grade (1:10 w/v) in glass bottles. The bottles were vigorously shaken in a laboratory shaker overnight (Already Enterprise Inc., Taiwan, Model LM-600 RD) at 120 rpm. The resulting supernatant was filtered through Whatman no.1 filter paper and concentrated to dryness using rotary evaporator. Percentage extraction yield of each plant extract was determined by dividing the total extracted mass by dried plant mass used for extraction. Plant extracts of 10 mg/ml concentration dissolved in 30% acetone were prepared for subsequent bioassays.

2.3. Antifungal activity

2.3.1. Selected fungal pathogens

Freshly prepared fungal cultures of Aspergillus flavus (PPRI: 14636), Aspergillus ochraceous (PPRI: 6816) and Fusarium verticilloides (PPRI: 10148) were purchased from Agricultural Research Council-Plant Protection Research Institute (ARC-PPRI). Dr Adriaana Venter-Jacobs (Agricultural Research Council-Plant Protection Research Institute) confirmed their identities. The fungal cultures were sub cultured from potato dextrose agar (PDA) slants into the plates of freshly prepared Potato dextrose broth (PDB) growth medium.

2.3.2. Inoculum preparation

Sterile distilled water and 0.1% tween-80 spore suspensions were prepared by gently scrubbing the conidia from periphery of actively growing 4 to 5 days old cultures of Fusarium and Aspergillus respectively. Tween-80 assists with coating Aspergillus spores and prevents them from floating in liquid broth media. A full loop of each spore suspension was transferred into 50 ml freshly prepared potato dextrose broth (PDB) and incubated for 3 to 4 days at 30 °C until slight turbidity was observed. A turbid inoculum was gently agitated using a probe sonicator to release the conidia from the hyphae and filtered through sterile autoclaved non-absorbent piece of cheesecloth. The final inoculum was adjusted to approximately 1×106 conidia ml−1 using haemocytometer (Petrikkou et al., 2001).

2.3.3. Determination of minimum inhibitory concentrations (MIC) and total activity of plant extracts

Microplate dilution method developed by Eloff (1998) with slight modifications was used to determine minimum inhibitory concentrations of 10 mg/ml plant extracts against selected phyto-pathogenic fungi. Briefly, 100μl of plant extracts were transferred into the first row of wells in a flat bottom sterile 96 well plate (Merck, RSA) laid with 100 μl autoclaved distilled water. The contents in the wells were serially diluted two fold from wells A to H. Aliquot of 100 μl of quantified inoculum of each fungal strain was added into all the wells. Amphotericin B and 30 % acetone were prepared as positive and negative controls respectively. All the wells were then loaded with 40 μl of 2 mg/ml p-Iodonitroterazolium (INT) chloride (Sigma-Aldrich, Germany). The plates were sealed with parafilm and incubated at 30 °C for 24 and 48 hours under 100% humidity. Minimum inhibitory concentration was determined as the lowest concentration of plant extract that inhibits microbial growth after 24 and 48 hours of incubation. The extracts were tested in triplicates. Total activity was calculated by dividing quantity extracted in milligrams from 1g of plant material by MIC value (mg/ml), to determine total activity level of antifungal compounds of each extract (Masoko et al., 2005).

2.3.4. Mycelial growth inhibition (MGI) study

The effect of plant extracts on inhibition of fungal mycelia growth was evaluated by using a method previously applied by Shukla et al. (2012) with slight modifications. Briefly, three biological replicates of varying concentrations of plant extracts and Amphotericin B were added into Potato Dextrose Agar petri dishes during preparation to yield the final concentrations of MIC values (i.e MIC, ½ MIC and ¼ MIC concentrations). The PDA plates without amendments were used as controls for each tested concentration. The discs of 4mm diameter cut from periphery of fresh and actively growing 4–5 days old fungal strains were aseptically inoculated upside down at the centre of all treatments and control set and a drop (10 μl) spore suspensions of all fungal species was pipetted at the centre of the plates. The plates were then incubated for nine days at 30 °C and the mycelial growth diameter was measured after every three days. Percentage MGI was determined from growth diameter using the formula;

%MGI = (ΔDc-ΔDt)/ΔDc ×100

Where ΔDc = Average mycelial growth diameter measured at three points on control sets and ΔDt = Average mycelial growth diameter measured at three points in the treatment sets.

2.4. Antioxidant activity

2.4.1. 2,2-diphenyl-1-picrylhydrazyl (DPPH) radical scavenging activity

The DPPH radical scavenging activity of acetone plant extracts was determined using the method previously described by (Mongalo et al., 2012) with slight modifications. Briefly, aliquots of plant extracts were serially diluted two-fold to yield concentrations (1000, 500, 250, 125, 63, 31, 16, 8, 4 μg/ml) in 100 μl of methanol inside 96 well microplate, followed by addition of 100 μl methanol solution of 0.02 mg/ml DPPH (w/v) into all wells. Ascorbic acid (0.5 mg/ml) and methanol were used as positive and negative controls respectively. The plates were then incubated in dark for 1 hr prior to absorbance reading at 517.

2.4.2. The 2,2’-azinobis(3-ethylbenzthiazoline-6-suphonic acid (ABTS) radical scavenging activity

ABTS solution was prepared by dissolving 7mM ABTS and 2mg of potassium persulphate in 3 ml distilled water. The solution was incubated in dark for 16–17 hours. The solution was then diluted 1:60 (v/v) with pure grade methanol. In a sterile 96 well microplate laid with 100 μl methanol, plant extracts were serially diluted two fold to yield different concentrations (500, 250, 125, 63, 31, 16, 8, 4 μg/ml) followed by addition of 100μl methanol solution of ABTS into all the wells. The plates were then incubated in dark for 5 minutes. Ascorbic acid (0.5 mg/ml) and methanol were used as positive and negative controls respectively. The absorbance was measured at 734 nm (Re et al., 1999).

In both assays (DPPH and ABTS), the percentage of inhibition (IC50) were calculated using the formula:

% inhibition = 1-(At/A0) ×100

Where, At equals absorbance of treated sample, A0 equals absorbance of negative control. IC50 values were determined using Prism pad programme from three experimental replicates.

3. Results and discussion

The investigated plants varied in their percentage leaf extracts yield. The highest percentage yield of the plant leaf extracts was obtained from Xylotheca kraussiana (35.0%), while the lowest was obtained from both Acokanthera oppositifolia and Ficus natalensis yielding 3.33% (Table 2). The percentage yields in the crude extracts of these plant species may be proportionately associated with biological compounds responsible for various biological activities such as antimicrobial activity, antioxidant activity and antiproliferative effect (Mongalo et al., 2019).

Table 2.

Minimum inhibitory concentrations (mg/ml) of twenty-five acetone plant extracts against fungi recorded after 24 and 48 hours incubation periods.

Medicinal plants Extraction Yield A. flavus
 A. ochraceous
 F. verticilloides
24 hrs 48 hrs 24 hrs 48 hrs 24 hrs 48 hrs
Acokanthera oppositifolia 3.33 0.16 0.63 1.25 2.5 2.5 2.5
Apodytes dimidiata 17.67 0.16 0.16 1.25 2.5 2.5 1.25
Artemesia afra 16.00 0.16 0.78 0.31 1.25 1.25 2.5
Bauhinia galpini 6.33 0.16 0.16 0.10 1.25 0.20 0.20
Brachylaena discolor 4.33 0.16 0.16 2.5 2.5 2.5 2.5
Breonadia salicina 13.67 0.16 0.16 1.25 2.5 2.5 2.5
Capparis tamentosa 8.67 0.31 1.25 0.31 2.5 2.5 2.5
Combretum caffrum 8.33 0.16 0.16 0.16 0.63 0.63 0.31
Curtisia dentata 12.67 0.63 1.25 0.08 0.08 0.16 0.16
Dracaena mannii 7.00 0.31 0.31 0.63 0.63 2.5 2.5
Ficus natelensis 3.33 2.5 2.5 0.31 0.63 0.31 0.63
Harpephyllum caffrum 12.33 0.63 1.25 0.78 1.56 0.78 0.78
Heteromorpha arborescens 14.00 0.63 2.5 0.31 1.25 1.25 1.25
Kirkia wilmsii 16.67 0.16 0.16 2.5 2.5 2.5 2.5
Markhamia obtusifolia 7.67 0.08 0.08 0.16 0.16 0.08 0.08
Maytenus undata 8.00 0.16 0.16 0.08 0.16 0.31 0.63
Millettia grandis 8.00 0.16 0.16 0.20 0.39 0.39 0.78
Mystroxylon aethiopicum 8.67 0.16 0.16 0.31 0.31 0.08 0.16
Ricinus communis 8.00 0.08 0.16 0.20 0.39 0.39 0.39
Solanum aculeastrum 7.00 0.16 0.16 0.78 0.39 0.26 0.33
Spirostachys africana 18.67 0.16 0.16 0.16 0.31 0.31 0.31
Strychnos mitis 16.33 1.25 1.25 0.31 2.5 0.63 2.5
Warburgia salutaris 12.00 0.78 0.78 0.13 0.39 0.10 0.20
Xylotheca kraussiana 35.00 0.78 0.78 2.5 2.5 0.63 0.63
Zanthoxylum capense
 8.00
 0.78
 0.78
 0.16
 2.5
 0.08
 0.63
Amphotericin B (mg/ml) 0.16 1.56 0.16 1.25 1.56 1.56
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Bold value indicates noteworthy activity.

Minimum inhibitory concentration (MIC) is the lowest concentration of plant extract that inhibits the fungal growth. In this study, the tested plants showed potent to weak antifungal activities, indicated by varying degrees of colour density in the wells where fungal proliferation is indicated by reduction of yellowish p-Iodonitroterazolium (INT) chloride to a reddish coloured formazan. The MIC values ranged from as low as 0.08 to 2.5 mg/ml against tested phyto-pathogenic strains of A. flavus, A. ochraceous and F. verticilloides were observed (Table 2). As there is no validated endpoint criteria for in vitro testing of plant extracts; a proposed classification by Souza et al., 2007 was adopted in determining the antifungal activity of the extracts. That is, extracts with MIC< 0.5 mg/ml were considered strong inhibitors while MIC between 0.5 and 1.6 mg/ml were considered moderate inhibitors and extracts with MIC> 1.6 mg/ml were considered weak inhibitors. Aspergillus flavus had moderate sensitivity to most plant extracts, namely Acokanthera oppositifolia, Apodytes dimidiata, Artemisia affra, Bauhinia galpinii, Brachylaena discolour, Breonadia salicina, Combretum caffrum, Kirkia wilmsi, Maytenus undata, Milletia grandis, Mystroxylon aeththopicum, Solanum aculeastrum and Spirostachys africana with MIC value of 0.16 mg/ml after 24 hr incubation period. Curtisia dendata, Markhamia obtusifolia and Maytenus undata extracts had good antifungal activity against Aspergillus ochraceous with MIC values ranging between 0.08 and 0.16 mg/ml.

Similarly, the MIC values of 0.08 and 0.16 mg/ml were recorded for M. osbtusifolia and C. dendata respectively against Fusarium verticilloides. A noteworthy activity was observed for M. obtusifolia extract, with strong antifungal activity against all tested myco-toxigenic fungal strains. The varying sensitivity levels of the tested fungi to varying concentrations of plants extracts can be attributed to the type of the conidia formed as a protective mechanism to the toxicity of plant extracts. External factors such as stress due to application of fungicides, nitrogen fertilizers and environmental factors like temperature, pH and moisture are known to influence the fungal conidia formation (Leandro et al., 2003; Paterson, 2007; Mabuza et al., 2018). Ricinus communis, Zanthoxylum capense, C. dendata, M. obtusifolia, M. undata and M. aethiopicum had good antifungal activity, with the lowest MIC value of 0.08 mg/ml comparable to the antifungal activity of the antibiotic drug, Amphoteracin B, that had the lowest MIC value of 0.16 mg/ml. These results are corroborating those of other South African medicinal plant species, which exhibited a similar MIC value against other mycotoxigenic fungal strains (Masoko et al., 2005), while other plant extracts yielded MIC values as low as 0.02 mg/ml (Mahlo et al., 2010; Manganyi et al., 2015; Eloff et al., 2017). However, it is important to note that the consensus on antimicrobial agents from medicinal plants is that an extract with MIC value of 0.1 mg/ml in an in vitro assay is noteworthy and may be further explored for possible antimicrobial compounds (Mongalo et al., 2015).

Total activity of the selected medicinal plants are presented in Table 3. Extracts of C. dendata exhibited the highest total activity yielding 1583 ml/g against Aspergillus ochraceous, while Apodytes dimidiata exhibited total activity of 1104 ml/g against Aspergillus flavus. These results suggest that 1 g of the acetone extract from C. dentata can still inhibit the growth of A. ochraceous even when diluted with 1583 ml of distilled water (Fadipe et al., 2015). It is important to note that the total activity is dependent on the solubility of the plant materials in a specific solvent and the activity of such extract on the selected microorganisms.

Table 3.

Total activity in (ml/g) of selected medicinal plants after 24 and 48 hours incubations.

Plant species A. flavus
 A. ochraceous
 F. verticilloides
24 hrs 48 hrs 24 hrs 48 hrs 24 hrs 48 hrs
A. opposititolia 208 53 27 13 13 13
A. dimidiata 1104 1104 141 71 71 141
A. affra 205 1000 516 128 128 64
B. galpinii 396 396 633 51 317 317
B. discolor 271 271 17 17 17 17
B. salicina 854 854 109 55 55 55
C. tamentosa 280 69 280 35 35 35
C. caffrum 521 521 521 132 132 269
C. dentata 201 101 1583 1583 792 792
D. mannii 226 226 111 111 28 28
F. natalensis 13 13 108 53 108 53
H. caffrum 196 99 158 79 158 158
H. arborescens 222 56 452 112 112 112
K. wilmsii 1042 1042 67 67 67 67
M. obtusifolia 958 958 479 479 958 958
M. undata 500 500 1000 500 258 127
M. grandis 500 500 400 205 205 103
M. aethiopicum 542 542 280 280 1083 542
R. communis 103 500 400 205 205 205
S. aculeastrum 438 438 90 179 269 212
S. africana 1167 1167 1167 602 602 602
S. mitis 131 131 527 65 259 65
W. salutaris 154 154 923 308 1200 600
X. kraussiana 449 449 140 140 556 556
Z. capense 103 103 500 32 1000 127
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Bold value indicates noteworthy activity.

The antifungal stability of plant extracts against fungal strains of F. verticilloides, A. flavus and A. ochraceous was also evaluated by amending plant extracts into PDA growth media. The extracts varied in the extent of degree of fungal inhibition, inhibiting mycelial growth in a concentration dependent manner (Tables 4, 5, and 6). Extracts of A. affra, C. dendata, K. wilmsii, M. aethopicum and S. aculeastrum exhibited good inhibition of mycelial growth of Fusarium. verticilloides with percentage inhibition values of 46.78, 37.29, 47.17, 41.58, and 38.11 respectively at the highest concentration tested after three days incubation period. Both A. dimidiata and M. aethiopicum extracts exhibited potent MGI (% inhibition >10 in all three tested concentrations) against Aspergillus flavus, while extracts from S. aculeastrum and B. salicina yielded potent inhibition of mycelial growth of Furasium verticilloides and Aspergillus ochraceous respectively.

Table 4.

Percentage mycelia growth inhibition (%MGI) of varying concentrations of acetone extracts on Fusarium verticilloides.

Plant name 3days
 6days
 9 days
MIC 0.5MIC 0.25MIC MIC 0.5MIC 0.25MIC MIC 0.5MIC 0.25MIC
A. oppstitufolia 19.77 ± 0.69 18.50 ± 0.68 12.29 ± 0.20 30.84 ± 0.63 26.66 ± 0.00 4.99 ± 0.51 20.56 ± 0.33 11.08 ± 0.00 2.76 ± 0.53
A. affra 46.78 ± 0.53 38.25 ± 0.05 29.22 ± 0.82 45.77 ± 0.84 36.90 ± 0.84 27.38 ± 0.00 32.29 ± 0.00 20.60 ± 0.12 7.13 ± 0.00
A. dimidiata 16.51 ± 0.16 10.05 ± 0.00 5.29 ± 0.13 18.20 ± .0.61 8.87 ± 0.01 1.21 ± 0.09 2.99 ± 0.34 0.25 ± 0.27 0.38 ± 0.06
B. discolor 25.30 ± 0.17 21.29 ± 0.15 8.32 ± 0.16 28.21 ± 0.82 23.71 ± 0.31 10.12 ± 0.40 22.62 ± 0.70 17.17 ± 0.21 6.27 ± 0.00
B. galpinii 5.14 ± 0.50 3.08 ± 0.00 2.65 ± 0.00 3.02 ± 0.57 3.14 ± 0.00 1.06 ± 0.27 0.46 ± 0.14 0.77 ± 0.38 0.83 ± 0.49
B. salcina 19.62 ± 0.25 6.87 ± 0.21 2.15 ± 0.13 19.53 ± 0.22 5.51 ± 0.99 5.02 ± 0.00 15.05 ± 0.00 14.25 ± 0.50 6.58 ± 0.07
C. caffrum 6.66 ± 0.00 2.57 ± 0.56 3.82 ± 0.27 6.88 ± 0.00 11.37 ± 0.68 0.38 ± 0.63 3.33 ± 0.00 1.26 ± 0.60 0.27 ± 0.84
C. dendata 37.29 ± 0.89 30.40 ± 0.00 19.19 ± 1.00 24.61 ± 0.00 25.28 ± 0.23 11.10 ± 0.58 18.61 ± 0.00 8.83 ± 0.23 7.96 ± 0.58
C. tamentosa 19.02 ± 0.57 13.85 ± 0.85 20.19 ± 0.00 22.06 ± 0.46 21.61 ± 0.08 19.24 ± 0.24 15.83 ± 0.31 9.13 ± 0.69 12.40 ± 0.77
D. mannii 4.12 ± 0.82 3.91 ± 0.00 4.37 ± 0.39 5.94 ± 0.00 3.74 ± 0.63 1.74 ± 0.00 0.40 ± 0.95 0.16 ± 0.95 0.35 ± 0.95
F. natalensis 16.20 ± 0.01 14.23 ± 0.74 11.66 ± 0.54 5.65 ± 0.66 8.62 ± 0.30 5.62 ± 0.63 0.47 ± 0.00 0.16 ± 0.54 0.93 ± 0.74
H. arbroscences 22.61 ± 0.60 19.08 ± 0.64 17.17 ± 0.96 14.59 ± 0.92 15.87 ± 0.63 12.97 ± 0.58 9.56 ± 0.86 7.87 ± 0.00 10.77 ± 0.84
H. caffrum 17.73 ± 0.39 3.44 ± 0.54 6.86 ± 0.19 7.36 ± 0.29 1.27 ± 0.92 4.30 ± 0.24 1.32 ± 0.41 0.77 ± 0.42 2.08 ± 0.27
K. wilmsii 47.17 ± 0.17 36.28 ± 0.00 23.89 ± 0.65 50.08 ± 0.53 33.36 ± 0.17 23.03 ± 0.64 13.73 ± 0.00 6.75 ± 0.41 8.53 ± 0.30
M. aethopicum 41.58 ± 0.10 20.66 ± 0.61 5.92 ± 0.52 35.78 ± 0.04 14.94 ± 1.00 2.21 ± 0.21 35.90 ± 0.56 26.40 ± 0.00 17.35 ± 0.00
M. grandis 22.51 ± 0.00 19.14 ± 0.50 21.33 ± 0.97 12.68 ± 1.00 8.61 ± 0.59 13.43 ± .00 8.45 ± 0.00 5.17 ± 0.51 9.12 ± 0.69
M. obstufolia 21.82 ± 0.12 15.79 ± 0.00 10.47 ± 0.10 6.04 ± 0.88 9.72 ± 0.00 0.50 ± 0.20 4.34 ± 0.54 0.79 ± 0.94 0.31 ± 0.85
M. undata 27.65 ± 0.58 16.62 ± 0.25 12.66 ± 0.17 17.22 ± 0.76 10.76 ± 0.64 6.59 ± 0.65 4.73 ± 0.54 0.37 ± 0.76 0.27 ± 0.17
R. communis 19.06 ± 0.29 7.62 ± 0.26 2.70 ± 0.50 18.84 ± 0.47 3.93 ± .30 2.58 ± 0.33 18.12 ± 0.53 4.10 ± 0.48 0.79 ± 0.00
S. aculeastrum 38.11 ± 0.17 31.97 ± 0.61 17.01 ± 0.90 34.32 ± 0.16 33.71 ± 0.20 24.55 ± 0.80 29.16 ± 0.49 28.87 ± 0.61 25.79 ± 0.69
S. africana 8.14 ± 1.00 5.82 ± 0.00 6.10 ± 0.69 6.57 ± 0.67 3.87 ± 0.77 4.55 ± 0.67 0.87 ± 0.45 1.73 ± 1.00 1.48 ± 0.56
S. mitis 9.46 ± 0.57 4.07 ± 0.94 3.65 ± 0.82 7.69 ± 0.55 3.38 ± 0.79 2.00 ± 0.38 1.63 ± 0.00 0.27 ± 0.13 0.56 ± 0.58
W. salutaris 35.65 ± 0.00 15.05 ± 0.04 4.93 ± 0.46 14.61 ± 0.00 10.57 ± 0.73 10.27 ± 0.09 5.27 ± 0.51 7.10 ± 0.00 2.62 ± 0.43
X. kraussiana 20.01 ± 0.82 6.87 ± 0.85 5.73 ± 0.38 24.20 ± 0.29 13.62 ± 0.60 5.05 ± 0.51 4.49 ± 0.62 0.99 ± 0.75 0.53 ± 0.51
Z. capense
 10.67 ± 0.17
 9.36 ± 0.63
 3.36 ± 0.00
 6.90 ± 0.51
 4.29 ± 0.50
 2.86 ± 0.50
 0.25 ± 0.48
 1.98 ± 0.54
 1.36 ± 0.6
Amphoteracin B 66.39 ± 0.68 60.92 ± 0.84 56.65 ± 0.62 55.93 ± 0.04 49.01 ± 0.50 44.88 ± 0.71 49.38 ± 0.56 43.43 ± 0.47 39.13 ± 0.24
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Bold value indicates noteworthy activity.

Data represents average radial mycelia growth inhibition± standard deviation, n = 3.

Table 5.

Percentage mycelia growth inhibition (%MGI) of varying concentrations of acetone extracts on Aspergillus flavus.

Plant Name 3days
 6days
 9 days
MIC 0.5MIC 0.25MIC MIC 0.5MIC 0.25MIC MIC 0.5MIC 0.25MIC
A. oppstitufolia 12.29 ± 0.17 10.91 ± 0.21 10.55 ± 0.00 6.37 ± 0.68 3.34 ± 0.33 3.42 ± 0.08 2.63 ± 0.21 0.67 ± 0.79 1.23 ± 0.54
A. affra 13.62 ± 0.04 9.57 ± 0.10 13.28 ± 0.16 11.55 ± 0.28 12.33 ± 0.24 9.50 ± 0.28 4.66 ± 0.54 4.85 ± 0.33 2.50 ± 0.66
A. dimidiata 30.79 ± 0.00 26.37 ± 0.51 22.70 ± 0.34 25.51 ± 0.56 23.95 ± 0.31 22.36 ± 0.00 17.06 ± 0.00 15.33 ± 0.59 12.99 ± 0.00
B. discolor 8.64 ± 0.16 10.67 ± 0.05 3.75 ± 0.74 0.13 ± 0.41 1.50 ± 0.27 1.47 ± 0.51 4.12 ± 0.15 4.30 ± 0.00 6.50 ± 0.00
B. galpinii 3.00 ± 0.49 0.08 ± 0.15 3.55 ± 0.78 0.40 ± 0.20 0.57 ± 0.00 0.94 ± 0.00 2.21 ± 0.47 2.23 ± 0.33 7.71 ± 8.71
B. salcina 5.75 ± 0.07 1.70 ± 0.97 2.62 ± 0.19 0.49 ± 0.25 0.14 ± 1.00 1.80 ± 0.61 3.56 ± 1.06 0.96 ± 0.56 0.12 ± 0.48
C. caffrum 13.64 ± 0.20 15.23 ± 0.07 11.61 ± 0.61 7.34 ± 0.01 2.99 ± 0.86 5.05 ± 0.18 2.80 ± 0.39 1.95 ± 0.18 2.73 ± 0.24
C. dendata 8.35 ± 0.40 1.72 ± 0.18 0.72 ± 0.06 9.13 ± 0.33 4.87 ± 0.42 4.19 ± 0.95 4.72 ± 0.99 0.41 ± 0.18 0.26 ± 0.08
C. tamentosa 7.97 ± 0.71 6.37 ± 0.32 3.52 ± 0.73 2.03 ± 0.00 1.69 ± 0.00 0.02 ± 0.02 0.13 ± 0.30 0.40 ± 0.43 0.14 ± 0.29
D. mannii 21.04 ± 0.00 15.35 ± 0.77 14.79 ± 0.25 12.41 ± 0.95 6.99 ± 0.79 2.38 ± 0.54 2.97 ± 0.72 1.92 ± 0.12 0.86 ± 0.52
F. natalensis 1.86 ± 0.35 6.55 ± 0.04 6.24 ± 0.49 5.14 ± 0.72 4.43 ± 0.53 1.06 ± 0.06 7.24 ± 0.00 3.36 ± 0.56 1.78 ± 0.05
H. arbroscences 32.13 ± 0.65 28.96 ± 0.93 19.90 ± 0.40 13.69 ± 0.74 10.31 ± 0.17 10.29 ± 0.08 2.28 ± 0.00 4.11 ± 0.38 1.45 ± 0.38
H. caffrum 4.73 ± 0.35 6.19 ± 0.10 5.49 ± 0.35 0.91 ± 0.00 2.21 ± 0.55 3.18 ± 0.81 4.97 ± 0.00 1.08 ± 0.37 2.43 ± 0.92
K. wilmsii 12.09 ± 0.07 5.91 ± 0.07 1.89 ± 0.61 19.35 ± 0.79 2.23 ± 0.09 0.11 ± 0.39 4.00 ± 0.56 4.14 ± 0.38 0.76 ± 0.09
M. aethopicum 38.15 ± 0.26 31.64 ± 0.21 25.46 ± 0.33 35.52 ± 0.13 23.18 ± 0.56 16.58 ± 0.00 14.73 ± 0.74 11.99 ± 0.00 15.04 ± 0.68
M. grandis 8.26 ± 0.00 9.17 ± 0.00 5.94 ± 0.27 3.47 ± 0.00 0.63 ± 0.17 0.51 ± 0.59 2.04 ± 0.23 1.62 ± 0.63 3.35 ± 0.29
M. obstufolia 18.38 ± 0.19 5.53 ± 0.26 7.84 ± 0.38 8.11 ± 0.28 0.42 ± 0.00 0.02 ± 0.33 7.26 ± 0.24 6.78 ± 0.57 7.06 ± 0.07
M. undata 8.35 ± 0.40 1.72 ± 0.18 0.72 ± 0.06 3.55 ± 0.29 2.56 ± 0.69 0.79 ± 0.00 6.51 ± 4.69 3.73 ± 2.78 2.68 ± 4.22
R. communis 9.38 ± 0.04 5.13 ± 0.10 9.02 ± 0.16 4.02 ± 0.49 2.03 ± 0.34 2.64 ± 0.46 0.81 ± 0.29 0.67 ± 0.74 4.16 ± 0.61
S. aculeastrum 11.40 ± 0.28 3.77 ± 0.41 5.59 ± 0.25 7.02 ± 0.38 4.00 ± 0.48 0.58 ± 0.04 3.63 ± 0.60 4.49 ± 0.66 1.28 ± 0.00
S. africana 19.17 ± 0.07 13.72 ± 0.10 10.94 ± 0.44 6.57 ± 0.00 2.14 ± 0.35 1.18 ± 0.93 4.48 ± 0.39 3.93 ± 0.00 2.14 ± 0.00
S. mitis 11.35 ± 0.11 7.47 ± 0.80 1.30 ± 0.84 7.66 ± 0.15 1.74 ± 0.49 1.03 ± 0.66 1.36 ± 0.51 0.65 ± 0.37 0.66 ± 0.17
W. salutaris 29.73 ± 0.58 25.71 ± 0.18 16.64 ± 0.40 11.12 ± 0.00 11.88 ± 0.17 8.40 ± 0.59 3.07 ± 0.00 3.78 ± 0.74 7.16 ± 0.61
X. kraussiana 5.52 ± 0.27 2.88 ± 0.19 0.77 ± 0.70 5.54 ± 0.00 2.21 ± 0.35 0.42 ± 0.41 5.82 ± 0.31 3.16 ± 0.36 1.55 ± 0.93
Z. capense
 12.54 ± 0.00
 7.66 ± 0.96
 2.57 ± 0.03
 7.25 ± 1.54
 1.63 ± 0.24
 0.22 ± 0.43
 6.15 ± 0.54
 3.10 ± 0.46
 1.70 ± 0.75
Amphoteracin B 59.55 ± 0.31 55.40 ± 0.02 50.29 ± 0.53 55.15 ± 0.48 52.34 ± 0.37 50.74 ± 0.13 42.68 ± 0.29 41.72 ± 0.64 40.22 ± 0.34
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Bold value indicates noteworthy activity.

Data represents average radial mycelia growth inhibition± standard deviation, n = 3.

Table 6.

Percentage mycelia growth inhibition (%MGI) of varying concentrations of acetone extracts on Aspergillus ochraceous.

Plant Name 3days
 6days
 9 days
MIC 0.5MIC 0.25MIC MIC 0.5MIC 0.25MIC MIC 0.5MIC 0.25MIC
A. oppstitufolia 1.32 ± 0.00 6.02 ± 0.32 0.47 ± 0.23 2.19 ± 0.00 1.91 ± 0.00 0.72 ± 0.22 0.09 ± 0.84 1.09 ± 0.70 0.92 ± 0.00
A. affra 18.57 ± 0.41 16.19 ± 0.13 10.33 ± 0.15 18.69 ± 0.68 9.77 ± 0.05 1.71 ± 0.39 18.89 ± 0.34 11.69 ± 0.09 2.72 ± 0.51
A. dimidiata 4.61 ± 0.39 3.83 ± 0.00 0.99 ± 0.32 2.54 ± 0.00 3.09 ± 0.14 1.62 ± 0.033 1.21 ± 0.42 1.50 ± 0.22 1.18 ± 0.12
B. discolor 13.47 ± 0.00 8.28 ± 0.00 5.94 ± 0.45 7.25 ± 0.51 3.89 ± 0.00 1.03 ± 0.58 10.94 ± 0.42 6.59 ± 0.00 4.10 ± 0.00
B. galpinii 3.38 ± 1.57 1.23 ± 1.72 4.04 ± 0.06 3.41 ± 1.84 2.79 ± 2.05 1.33 ± 0.13 2.41 ± 1.36 0.85 ± 1.02 0.24 ± 0.23
B. salcina 26.33 ± 0.76 27.19 ± 0.17 23.81 ± 0.23 25.52 ± 0.60 23.50 ± 0.00 21.41 ± 0.40 16.50 ± 0.96 14.53 ± 0.34 12.47 ± 0.31
C. caffrum 5.00 ± 0.97 3.12 ± 0.51 6.12 ± 0.50 10.85 ± 0.12 7.31 ± 0.38 8.06 ± 0.00 3.12 ± 0.00 0.49 ± 0.30 5.21 ± 0.64
C. dendata 14.20 ± 0.51 10.79 ± 0.00 14.14 ± 0.14 5.58 ± 0.62 5.57 ± 0.31 6.67 ± 0.84 4.29 ± 1.38 6.44 ± 0.47 6.20 ± 1.38
C. tamentosa 9.04 ± 0.66 6.12 ± 0.59 2.29 ± 0.00 3.63 ± 0.00 1.51 ± 0.56 1.36 ± 0.14 1.51 ± 0.00 0.54 ± 0.40 0.02 ± 0.35
D. mannii 27.99 ± 0.22 28.00 ± 0.57 25.37 ± 0.70 11.42 ± 0.00 13.94 ± 0.00 12.50 ± 0.77 11.30 ± 0.98 11.44 ± 0.64 7.92 ± 0.67
F. natalensis 11.54 ± 0.36 11.28 ± 0.51 9.39 ± 0.09 9.91 ± 0.00 0.47 ± 0.00 0.05 ± 0.07 1.84 ± 0.11 0.84 ± 0.00 0.63 ± 0.55
H. arbroscences 16.11 ± 0.62 11.95 ± 0.61 6.86 ± 0.67 14.92 ± 0.51 12.83 ± 0.00 5.20 ± 0.89 13.28 ± 0.43 11.54 ± 0.72 3.41 ± 0.29
H. caffrum 16.29 ± 0.90 9.53 ± 0.00 1.76 ± 0.13 9.96 ± 0.25 7.15 ± 0.00 4.49 ± 0.00 2.63 ± 0.00 1.33 ± 0.87 0.43 ± 0.57
K. wilmsii 7.34 ± 0.15 5.63 ± 0.73 2.21 ± 0.59 4.06 ± 0.31 5.36 ± 0.22 1.40 ± 0.20 1.68 ± 0.62 0.36 ± 0.52 0.18 ± 0.26
M. aethopicum 11.28 ± 0.03 10.76 ± 0.03 3.71 ± 0.74 0.24 ± 0.22 2.18 ± 0.18 2.35 ± 0.17 3.77 ± 0.00 3.80 ± 0.00 2.84 ± 3.90
M. grandis 14.58 ± 0.49 11.05 ± 0.00 12.48 ± 0.86 5.05 ± 0.64 6.10 ± 067 6.70 ± 0.86 5.84 ± 0.00 6.02 ± 1.38 4.94 ± 0.38
M. obstufolia 20.40 ± 0.50 21.40 ± 0.23 26.92 ± 0.02 18.05 ± 0.85 10.66 ± 0.85 10.06 ± 0.54 6.51 ± 0.00 3.73 ± 0.00 2.68 ± 0.00
M. undata 10.35 ± 0.10 11.43 ± 0.37 2.21 ± 0.09 7.04 ± 0.00 6.61 ± 0.09 2.07 ± 0.19 2.63 ± 0.35 1.83 ± 0.35 1.39 ± 0.40
R. communis 3.65 ± 0.42 3.50 ± 0.28 0.33 ± 0.85 3.54 ± 0.29 3.15 ± 0.59 1.11 ± 0.01 4.19 ± 0.00 1.33 ± 0.05 1.25 ± 0.89
S. aculeastrum 15.36 ± 0.71 10.46 ± 0.16 5.27 ± 0.45 6.79 ± 0.82 6.59 ± 0.08 1.76 ± 0.08 5.24 ± 0.00 4.78 ± 0.00 1.07 ± 0.81
S. africana 31.04 ± 0.02 24.88 ± 0.50 25.82 ± 0.23 18.05 ± 0.85 10.66 ± 0.85 10.06 ± 0.54 6.51 ± 0.00 3.73 ± 0.00 2.68 ± 0.00
S. mitis 24.69 ± 0.26 21.41 ± 0.00 19.46 ± 0.38 14.88 ± 1.31 2.47 ± 0.82 1.00 ± 0.64 2.07 ± 0.29 1.89 ± 0.56 0.75 ± 0.50
W. salutaris 28.59 ± 0.27 20.28 ± 0.32 13.37 ± 0.84 35.75 ± 0.29 22.62 ± 0.69 16.49 ± 0.00 14.73 ± 0.74 3.69 ± 0.62 0.24 ± 0.00
X. kraussiana 7.34 ± 0.32 5.63 ± 0.07 2.21 ± 0.12 10.07 ± 0.25 6.91 ± 0.11 7.44 ± 0.27 9.16 ± 0.13 8.76 ± 0.34 6.17 ± 2.57
Z. capense
 8.00 ± 0.38
 6.51 ± 0.97
 0.51 ± 0.51
 7.01 ± 0.62
 6.01 ± 0.93
 1.50 ± 0.82
 4.40 ± 0.00
 2.50 ± 0.52
 0.85 ± 0.34
Amphoteracin B 61.94 ± 0.31 57.67 ± 0.02 52.30 ± 0.47 54.94 ± 0.73 53.12 ± 0.15 51.10 ± 0.69 42.67 ± 0.62 42.66 ± 0.31 43.33 ± 0.84
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Bold value indicates noteworthy activity.

Data represents average radial mycelia growth inhibition± standard deviation, n = 3.

The extracts of B. salicina, D. mannii, S. africana, and W. Salutaris slightly inhibited the growth of A. ochraceous with percentage values 26.33, 27.99, 31.04 and 28.59 respectively. Mycelial growth inhibition results show that F. verticilloides is more sensitive to plants extracts with hyphal inhibition percentages ranging between the highs of 37.29%–47.17% compared to both Aspergillus flavus (29.73–38.15%) and Aspergillus ochraceous (26.33–31.04%). Similar findings were previously reported, where mycotoxigenic members of Fusarium spp. were found to be more sensitive to crude acetone plant extracts than mycotoxigenic members of Aspergillus spp. (Thembo et al., 2010).

Free radical-scavenging activity of DPPH and ABTS results are summarised in (Table 7), presented as inhibitory concentration leading to 50% reduction of free radicals (IC50). The results of the tested plant extracts ranged from the lowest IC50 values of 0.03 and 0.01 mg/ml and the highest IC50 values of 0.87 and 0.33 mg/ml against free radicals of DPPH and ABTS respectively. The extracts of A. oppositifolia, A. affra, C. caffrum, R. communis and S. aculeastrum had good antioxidant activities against ABTS with IC50 values of 0.01 mg/ml, while B. salicina, C. caffrum, C. dendata, F. natalensis and H. caffrum showed potent antioxidant activity against free radicals of DPPH.

Table 7.

The 2,2-Diphenyl-1-picrylhydrazyl and 2,2’-azinobis (3-ethylbenzthiazoline-6-suphonic acid) radical scavenging activity assay results.

Plant species DPPH ABTS
Acokanthera oppositifolia 0.64 ± 0.54 0.01 ± 0.00
Apodytes dimidiata 0.23 ± 0.07 0.03 ± 0.00
Artemesia affra 0.30 ± 0.12 0.01 ± 0.00
Bauhinia galpini 0.43 ± 0.02 0.05 ± 0.03
Brachylaena discolor 0.17 ± 0.06 0.03 ± 0.01
Breonadia salicina 0.07 ± 0.02 0.33 ± 0.24
Capparis tamentosa 0.39 ± 0.16 0.08 ± 0.02
Combretum caffrum 0.07 ± 0.01 0.01 ± 0.00
Curtisia dentata 0.03 ± 0.01 0.03 ± 0.09
Dracaena mannii 0.16 ± 0.02 0.03 ± 0.00
Ficus natelensis 0.06 ± 0.03 0.05 ± 0.03
Harpephyllum caffrum 0.06 ± 0.04 0.04 ± 0.01
Heteromorpha arborescens 0.65 ± 0.45 0.10 ± 0.00
Kirkia wilmsii 0.13 ± 0.01 0.04 ± 0.01
Markhamia obtusifolia 0.20 ± 0.00 0.02 ± 0.01
Maytenus undata 0.35 ± 0.02 0.05 ± 0.00
Millettia grandis 0.87 ± 0.05 0.06 ± 0.04
Mystroxylon aethiopicum 0.16 ± 0.05 0.02 ± 0.01
Ricinus communis 0.35 ± 0.09 0.01 ± 0.00
Solanum aculeastrum 0.17 ± 0.08 0.01 ± 0.00
Spirostachys africana 0.23 ± 0.12 0.10 ± 0.03
Strychnos mitis 0.46 ± 0.01 0.05 ± 0.00
Warburgia salutaris 0.38 ± 0.09 0.06 ± 0.00
Xylotheca kraussiana 0.15 ± 0.01 0.03 ± 0.00
Zanthoxylum capense
 0.53 ± 0.35
 0.10 ± 0.01
L-Ascorbic acid 0.001 ± 0.00 0.003 ± 0.00
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Bold value indicates noteworthy activity.

Data presented as IC50 in mg/ml ±standard error, n = 3.

Medicinal plants extracts from some species which includes B. salicina, C. dendata, C. caffrum, R. communis, S. aculeastrum exhibited reasonable antifungal and antioxidant activity. Prakash et al. (2015) found the relationship between the antifungal and antioxidant activities of isolated essential oils of Curcuma longa and Zingiber officinale which also inhibited the secretion of aflatoxin from Aspergillus flavus. The findings in this study also proved Tian et al. (2011) hypothesis stating that the inhibition of mycotoxins by mycotoxigenic fungi is attributed to reduced fungal growth and inhibition of key enzymes during mycotoxin production.

Studies show that phytocompounds with antioxidant activity may be used as food preservatives and prevent lipid oxidation which ultimately leads to food spoilage (Prakash et al., 2015). A lower IC50 value indicates higher antioxidant activity and better protection against oxidation. Antioxidant capacity is widely used as parameter to measure bioactive and functional constituents in food commodities (Sowndhararajan and Kang, 2013).

This suggests that the extracts contain phyto-compounds with some antioxidant activity capable of scavenging imbalanced reactive oxygen species (ROS), which are considered major cause of many diseases such as cancer, cardiovascular diseases, neurodegenerative diseases, hypertension and AIDS. The antioxidant compounds can also be used to prevent lipid peroxidation in food commodities (Amorati and Valgimigli, 2015; Nunes et al., 2012). Lipid peroxidation is a complex aerobic cellular process where oxygen interacts with polyunsaturated fatty acids resulting in reduction of food shelf life (Prakash et al., 2015). Plant based extracts are reported to contain phytochemicals such as phenolic compounds that may be for responsible for antioxidant activity (Moyo et al., 2010). Extracts of A. oppositifolia, A. affra, C. caffrum, R. communis and S. aculeastrum had good antioxidant activities against ABTS with IC50 values of 0.01 mg/ml, While B. saligna, C. caffrum, C. dendata, F. natalensis, H. caffrum showed potent antioxidant activity against free radicals of DPPH.

Earlier, the antioxidant activity of methanol extracts from C. dentata, 1:1 methanol: dichloromethane extracts from Solanum aculeastrum, Bauhinia galpinii, Ricinus communis and Waburgia salutaris against DPPH have been reported (Fadipe et al., 2015; Mongalo et al., 2018). It is not easy to compare these results due to differences in terms of solvents used, collection site, geographical areas and collection times. However, these plants extracts are promising inhibitors of free radicals that may well be used to curb oxidation in various agricultural products.

GC-MS analysis of most active antifungal and potentially active medicinal plants is reported in Tables 8 and 9. Curtisia dentata revealed the presence of triterpenoinds such as β-amyrin (53.30%), α-amyrin (6.42%), β-sitosterol (2.47%) and vitamin E (4.99%), while Markhamia obtusifolia yielded the presence of neophytadiene (4.38%), palmitic acid (3.61%) and 4-(1E)-3-Hydroxy-1-propenyl)-2-methoxyphenol (2.04%). Triterpenes are well known to possess potential antifungal activity against both human and crop infecting fungal strains (Liu et al., 2015; Kongue et al., 2013; Hu et al., 2018).

Table 8.

Phytochemical profiling of acetone extract of Curtisia dentata using GC-MS.

No. RT Compound name Classification Peak area (%)
1 6.79 1,2,3-Benzenetriol Benzenetriol 0.50
2 8.09 1,6-Anhydro-.beta.-D-glucopyranose (Levoglucosan) Carbohydrate 1.86
3 8.25 Myristicin Phenylpropene 0.19
4 9.02 4-Propylpyrocatechol Benzene derivative 1.08
5 10.81 Myristic acid (Tetradecanoic acid) Fatty acid 0.36
6 11.85 Neophytadiene Terpernoid 1.34
7 11.93 6,10,14-Trimethyl-2-pentadecanone Essential oil 0.35
8 12.46 Phytol Diterpene 0.38
9 13.63 Hexadecanoic acid (Palmitic acid) Fatty acid 1.60
10 16.41 2-sec-Butylcyclopentanone Hydrocarbon 0.32
11 19.67 4,8,12,16-Tetramethylheptadecan-4-olide Diterpene 0.59
12 25.56 1-Docosene Alkene 1.29
13 27.39 Pentacosane Akane 0.86
14 28.20 β-Tocopherol (Vitamin E isomer) Vitamin 0.34
15 28.32 γ-Tocopherol (Vitamin E) Vitamin 1.63
16 28.46 4-Methylcholesta-8,14,24-trien-3-ol Cholestrol 1.07
17 28.60 β-Sitosterol acetate Triterpenoid 1.42
18 28.67 1-Eicosanol Arachidyl acohol 0.55
19 28.83 Vitamin E Vitamin 4.99
20 29.63 1,30-Triacontanediol Fatty alcohol 0.64
21 29.75 Stigmastan-4-one, 3-methoxy-, (3.beta.,24S)- Triterpenoid 0.59
22 29.94 7-Oxocholestan-3-yl acetate Acetate derivative 0.29
23 30.25 γ-Sitosterol Triterpenoid 2.47
24 30.40 Ursa-9(11),12-dien-3-ol Triterpenoid 0.90
25 30.66 α-Amyrin Triterpenoid 6.42
26 30.79 1,2-dihydroxybenzene (catechol) benzenediol 1.07
27 31.15 β-Amyrin Triterpenoid 53.30
38 32.23 Betulin Triterpenoid 0.73
31 32.64 Hopenone b Lipid 0.60
32 32.88 2-Azafluoranthene Polycyclic nitrogen fraction 0.33
33 33.08 24-Methyl-9,19-cyclolanost-25-en-3-ol Hydroxy steroid 2.56
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Bold value indicates noteworthy activity.

Table 9.

Phytochemical profiling of acetone extract of Markhamia obtusifolia.

No. RT Compound name Type of compound Peak area (%)
1 7.43 2,1,3-Benzothiadiazole (Piazthiole) Benzene derivative 1.05
2 7.57 n-Tridecane Alkane 0.80
3 8.05 2,4-di-tert-butylphenol Phenol 1.13
4 10.67 4-((1E)-3-Hydroxy-1-propenyl)-2-methoxyphenol (Coniferol) Phenylpropanoid 2.04
5 10.83 Myristic acid Fatty acid 0.85
6 11.17 Loliolide Lactone 0.48
7 11.86 Neophytadiene sesquiterpenoids 4.38
8 11.94 6,10,14-Trimethyl-2-pentadecanone Sesquiterpenoids 0.83
9 13.05 4-Ethylcyclohexanone Saturated hydrocarbon 0.49
10 13.68 Palmitic acid Fatty acid 3.61
11 14.13 1-(1-Hydroxybutyl)-2,5-dimethoxybenzene Phenethylamine 0.75
12 15.79 γ-Decalactone Lactone/aroma compound 0.23
13 15.86 2,2'-methylenebis-cyclopentanone, Methane derivative 0.36
14 15.93 Phytol Diterpene 0.24
15 16.36 Oleic acid Fatty acid 0.23
16 16.42 4,4,6-Trimethyl-2-cyclohexen-1-ol Terpene 0.71
17 16.74 Stearic acid Fatty acid 0.40
18 17.12 6-Formyl-3-methyl-2-oxo-4-hexenoic acid Fatty acid 0.18
19 18.27 Hahnfett N/A 0.48
20 19.68 4,8,12,16-Tetramethylheptadecan-4-olide Diterpene 0.34
21 19.87 Oleoamide Fatty acid amide 0.27
22 24.82 3-phenyl-Benzo[f][1,7]naphthyridin-5(6H)-one Alkaloid 0.24
23 25.40 exo-7-methylbicyclo[4.1.0]hept-2-ene-endo-7- Cyclopentone 0.16
24 25.55 1-Nonadecene Alkene 0.47
25 25.60 Heneicosane Alkane 0.13
27 26.64 PELTGERIN N/A 0.49
28 26.93 Dimethyl 4,6-dioxo-5,6-dihydro-4H-pyrido[3,2,1-jk]carbazole-5-spirocyclohexane-1,3-dicarboxylate Ether derivative 0.52
29 27.01 Endomethylamino-2-endobornanol-3 Amino acid derivative 0.24
31 27.39 Docosane Alkane 1.20
32 27.90 2,6,8-trimethyl-Pyrido[3,4-d]pyrimidin-4(3H)-one Pyrimidine derivative 0.93
33 28.02 N-methyl-N-[2-chloro-3-(1,2-epoxy-4-acetoxy-5-methylcyclohex-6-ON-YL)prop-2-enyl]-N-[4,4-dimethoxybutanoic acid]amide N/A 1.49
35 28.21 β-Tocopherol Vitamin 1.38
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Some of the detected compounds from Curtisia dendata extracts are reported to possess potential antimicrobial activities. For instance, α-amyrin and β-sitosterol are well known for their antifungal activity against Aspergillus flavus and Aspergillus niger (Singh and Singh, 2003). In addition, β-amyrin and its derivatives exhibited potential antifungal activity against various Candida species through the inhibition of adhesion of the fungus to the cell (Johann et al., 2007). Furthermore, such triterpenes may well possess anticancer, anti-inflammatory, anti-oxidative and anti-viral activities (Chudzik et al., 2015). Earlier in our studies, β-sitosterol and betulinic acid from methanol extract of the leaves of C. dentata were reported to possess potent anti-mycobacterial activity and no cytotoxicity to both HepG2 and HEK293 cell lines (Mongalo et al., 2016; Fadipe et al., 2015). Furthermore, betulinic acid and lupeol yielded a potent anti-parasitic effect (Opoku et al., 2016). The antifungal activity of Curtisia dendata as reported in the current paper may well be attributed to the triterpenes as identified abundantly in the GC-MS chemical spectra. The mode of action of the compounds may be through mycelial growth inhibition. However, other studies suggested that the compounds may act through cell membrane damage, compromising the integrity and permeability of fungal cells (Haraguchi et al., 1999; Leite et al., 2014) and possible leakage of cations from the cytoplasm (Wong et al., 2019).

The acetone extract from Markhamia obtustifolia leaves revealed the presence of ursolic acid [3β-hydroxyurs-12-en-28-oic acid], pomolic acid [3β,19α-dihydroxy-urs-12-en-28-oic acid], 2-epi-tormentic acid [2β,3β,19α-trihydroxy-urs-12-en-28-oic acid (Eloff et al., 2008; Nchu et al., 2010). Contrarily, the plant species in the current study revealed the presence of palmitic acid and neophytadiene as major constituents of the plant species. The bioactivity of the plant species may well be attributed to the two compounds individually or synergistically. Palmitic acid and neophytadiene from other plant species has been reported to be effective against Aspergillus species (Altieri et al., 2007; Felicio et al., 2010). Furthermore, these compounds possesses potential antimicrobial and anti-inflammatory activity (Ivanova et al., 2017).

Although the selected medicinal plants exhibited a noteworthy antifungal and antioxidant activity, the cytotoxicity studies of these plants is of paramount importance and still needs to be explored. According to Zotter et al. (2019), the organic compounds may have a devastating effect on human and animal health. These may include the deterioration of functionality on essential organs that may include heart, liver, lungs and the entire central nervous system (Shankar et al., 2018). It is important to note that African Traditional Medicine use mostly water as a solvent for extracting the active compounds responsible for management of relevant infections.

4. Conclusions

The results obtained in this study suggests that plant extracts and phyto-compounds have the potential for the development of alternative bio-fungicides and may be used as substitutes for synthetic fungicides. Given the fungicidal, fungi-toxic and antioxidant activity of the investigated plants, the plant selected medicinal plants species may have potential to be used as possible leads for the development of bio-fungicides that can also prevent oxidation related to food spoilage. However, toxicity-profiling studies of the active plants species still needs to be explored. Furthermore, in vivo studies, using crops as study model, are also necessary and still needs to be explored.

Declarations

Author contribution statement

P.M. Dikhoba: Conceived and designed the experiments; Performed the experiments; Analyzed and interpreted the data; Contributed reagents, materials, analysis tools or data.

N.I. Mongalo: Conceived and designed the experiments; Performed the experiments; Analyzed and interpreted the data; Wrote the paper.

E.E Elgorashi: Analyzed and interpreted the data; Contributed reagents, materials, analysis tools or data; Wrote the paper.

T.J. Makhafola: Conceived and designed the experiments; Analyzed and interpreted the data; Contributed reagents, materials, analysis tools or data.

Funding statement

This work was supported by the National Research Foundation South Africa (Grant Number: 94179).

Competing interest statement

The authors declare no conflict of interest.

Additional information

No additional information is available for this paper.

Acknowledgements

Authors are thankful to South African National Botanical Institute (SANBI) for granting permission for plant collection. Authors are also thankful to Agricultural Research Council – Plant Protection Research Institute for providing fungal strains.

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