| Literature DB >> 35011429 |
Sayed E El-Sayed1, Neveen A Abdelaziz1, Hosam-Eldin Hussein Osman2, Ghadir S El-Housseiny3, Ahmed E Aleissawy4, Khaled M Aboshanab3.
Abstract
Resistance to antifungal agents represents a major clinical challenge, leading to high morbidity and mortality rates, especially in immunocompromised patients. In this study, we screened soil bacterial isolates for the capability of producing metabolites with antifungal activities via the cross-streak and agar cup-plate methods. One isolate, coded S6, showed observable antifungal activity against Candida (C.) albicans ATCC 10231 and Aspergillus (A.) niger clinical isolate. This strain was identified using a combined approach of phenotypic and molecular techniques as Lysinibacillus sp. MK212927. The purified metabolite displayed fungicidal activity, reserved its activity in a relatively wide range of temperatures (up to 60 °C) and pH values (6-7.8) and was stable in the presence of various enzymes and detergents. As compared to fluconazole, miconazole and Lamisil, the minimum inhibitory concentration of the metabolite that showed 90% inhibition of the growth (MIC90) was equivalent to that of Lamisil, half of miconazole and one fourth of fluconazole. Using different spectroscopic techniques such as FTIR, UV spectroscopy, 1D NMR and 2D NMR techniques, the purified metabolite was identified as terbinafine, an allylamine antifungal agent. It is deemed necessary to note that this is the first report of terbinafine production by Lysinibacillus sp. MK212927, a fast-growing microbial source, with relatively high yield and that is subject to potential optimization for industrial production capabilities.Entities:
Keywords: 2D NMR; Lysinibacillus; antifungal; bio-active metabolite; fungicidal; terbinafine
Mesh:
Substances:
Year: 2021 PMID: 35011429 PMCID: PMC8746802 DOI: 10.3390/molecules27010201
Source DB: PubMed Journal: Molecules ISSN: 1420-3049 Impact factor: 4.411
Figure 1Molecular phylogenetic analysis of the query isolate (S6) using maximum likelihood method based on the Kimura 2-parameter model in MEGA X.
Fractionation of crude antifungal metabolite by Lysinibacillus isolate showing ratios of the solvent systems used, the retention factor(s), dry weight(s) and bioautography results.
| Pooled Fractions (PFs) | n-Hexane: Ethyl Acetate (EA) | Elutes Recovered | Retardation Factor (RF) | Dry Weight of Each PF (mg) | Mean Inhibition Zones | |
|---|---|---|---|---|---|---|
|
|
| |||||
| 1 | n-hexane 100% | 1–7 | 0.96 | 1.4 | - | - |
| 2 | 95:5 | 8–19 | 0.93 | 1.8 | - | - |
| 3 | 90:10 | 20–25 | 0.88 | 4.6 | 16 ± 0.25 | 14 ± 0.25 |
| 4 | 85:15 | 26–36 | 0.84 | 2 | 21 ± 0.45 | 20 ± 0.36 |
| 5 | 80:20 | 37–42 | 0.78 | 3.33 | 22 ± 0.36 | 14 ± 0.25 |
| 6 | 75:25 | 43–47 | 0.71 | 4.1 | 31 ± 0.58 | 29 ± 0.58 |
| 7 | 70:30 | 48–53 | 0.69 | 2.4 | 30 ± 0.36 | 27 ± 0.36 |
| 8 | 65:35 | 54–59 | 0.63 | 4.22 | 29 ± 0.58 | 28 ± 0.58 |
| 9 | 60:40 | 60–64 | 0.60 | 2.6 | 13 ± 0.25 | 15 ± 0.36 |
| 10 | 55:45 | 65–69 | 0.58 | 0.99 | - | - |
| 11 | 50:50 | 70–76 | 0.52 | 0.89 | - | - |
| 12 | 45:55 | 77–82 | 0.49 | 4 | - | - |
| 13 | 40:60 | 83–88 | 0.46 | 3.9 | - | - |
| 14 | 35:65 | 89–94 | 0.43 | 3.7 | 17 ± 0.45 | 19 ± 0.58 |
| 15 | 30:70 | 95–99 | 0.39 | 1.67 | 18 ± 0.45 | 15 ± 0.25 |
| 16 | 25:75 | 100–106 | 0.35 | 2.78 | 14 ± 0.36 | 16 ± 0.36 |
| 17 | 20:80 | 107–112 | 0.31 | 4.4 | 12 ± 0.25 | 11 ± 0.25 |
| 18 | 15:85 | 113–119 | 0.28 | 1.8 | 15 ± 0.45 | 17 ± 0.36 |
| 19 | 10:90 | 120–125 | 0.23 | 1.01 | 20 ± 0.36 | 18 ± 0.36 |
| 20 | 5:95 | 126–130 | 0.14 | 5.2 | 19 ± 0.45 | 20 ± 0.58 |
| 21 | EA 100% | 131–136 | 0.12 | 4.9 | 23 ± 0.58 | 21 ± 0.36 |
Figure 2Linear relationship between different concentrations of the purified extract (µg/mL) and the inhibition zone diameter (mm).
In vitro susceptibilities of six C. albicans isolates to fluconazole, miconazole, Lamisil, and the antifungal metabolite determined by agar well diffusion method.
| Inhibition Zone Diameter (mm) ± SD | ||||
|---|---|---|---|---|
| 110 µg/mL | 150 µg/mL | 190 µg/mL | 250 µg/mL | |
| Fluconazole | ||||
| 1 | 0 | 0 | 11 ± 0.33 | 15 ± 0.26 |
| 2 | 12 ± 0.58 | 14 ± 0.26 | 17 ± 0.33 | 20 ± 0.33 |
| 3 | 0 | 11 ± 0.33 | 13 ± 0.33 | 16 ± 0.58 |
| 4 | 11 ± 0.25 | 14 ± 0.25 | 17 ± 0.58 | 19 ± 0.33 |
| 5 | 23 ± 0.58 | 25 ± 0.58 | 28 ± 0.58 | 30 ± 0.33 |
| 6 | 14 ± 0.58 | 16 ± 0.58 | 19 ± 0.58 | 21 ± 0.58 |
| Miconazole | ||||
| 1 | 0 | 11 ± 0.33 | 14 ± 0.33 | 16 ± 0.33 |
| 2 | 13 ± 0.33 | 15 ± 0.33 | 17 ± 0.33 | 19 ± 0.67 |
| 3 | 11 ± 0.33 | 12 ± 0.46 | 13 ± 0.33 | 14 ± 0.26 |
| 4 | 11. ± 0.33 | 14 ± 0.36 | 16 ± 0.33 | 18 ± 0.33 |
| 5 | 18 ± 0.33 | 19 ± 0.67 | 23 ± 0.26 | 24 ± 0.33 |
| 6 | 14 ± 0.46 | 15. ± 0.33 | 17 ± 0.33 | 19 ± 0.33 |
| Lamisil | ||||
| 1 | 0 | 11 ± 0.33 | 14 ± 0.26 | 17 ± 0.33 |
| 2 | 11 ± 0.33 | 15 ± 0.33 | 16 ± 0.58 | 19. ± 0.67 |
| 3 | 0 | 0 | 11 ± 0.33 | 14 ± 0.58 |
| 4 | 15 ± 0.33 | 18 ± 0.5 | 21 ± 0.33 | 25 ± 0.58 |
| 5 | 19 ± 0.67 | 23 ± 0.33 | 26 ± 0.33 | 29 ± 0.6 |
| 6 | 13 ± 0.33 | 15 ± 0.33 | 17 ± 0.33 | 19 ± 0.6 |
| Antifungal metabolite | ||||
| 1 | 0 | 11 ± 0.33 | 14 ± 0.33 | 16 ± 0.33 |
| 2 | 13 ± 0.33 | 15 ± 0.66 | 17 ± 0.33 | 19 ± 0.69 |
| 3 | 11 ± 0.33 | 12 ± 0.33 | 13 ± 0.33 | 14 ± 0.45 |
| 4 | 11 ± 0.33 | 14 ± 0.33 | 16 ± 0.2 | 18 ± 0.33 |
| 5 | 18 ± 0.6 | 19 ± 0.67 | 23 ± 0.3 | 24 ± 0.33 |
| 6 | 14 ± 0.6 | 15 ± 0.33 | 17 ± 0.3 | 19 ± 0.67 |
Figure 3Boxplots showing inhibition zone diameter (mm) vs. antifungal agents (fluconazole, miconazole, Lamisil and the active metabolite) at different concentrations: (a) 110 µg/mL, (b) 150 µg/mL, (c) 190 µg/mL and (d) 250 µg/mL. Dots representing each sample were overlaid to show the actual variability and distribution of the data. Plot was created by R (“ggplot2”) package.
Figure 4(a) Ridgeline plots showing the distribution of minimum inhibitory concentrations (µg/mL) for fluconazole, miconazole, Lamisil and the metabolite against six isolates of C. albicans. Area under the ridgeline is plotted after calculation of density estimates from the provided data. Plot was created by R (“gg ridges”) package. (b) Violin plots representing the kernel probability density of C. albicans isolates at different values of the minimum inhibitory concentrations (µg/mL) for fluconazole, miconazole, Lamisil and the metabolite. The filled black diamond signifies the MIC median value allowing better assessment of the data obtained from different antifungals. Plot was created by R (“ggplot2”) package.
In vitro susceptibilities of six C. albicans isolates to fluconazole, miconazole, Lamisil, and the antifungal metabolite determined by broth microdilution.
| Antifungal Product | Susceptibility (μg/mL) | |||
|---|---|---|---|---|
| Range | Median c | MIC50 a | MIC90 b | |
| Fluconazole | 1–128 | 24 | 16 | 128 |
| Miconazole | 2–128 | 48 | 32 | 64 |
| Lamisil | 1–128 | 24 | 16 | 32 |
| Antifungal metabolite | 0.5–32 | 16 | 16 | 32 |
a,b 50% and 90%, MICs at which 50 and 90% of isolates are inhibited, respectively; c in calculation of the median values, MICs of >64 μg/mL were classed as 128 μg/mL.
1H NMR and 13C NMR data of the pure metabolite in ppm (multiplicity, J in Hz) a.
| Position | δH (MeOD, 400 MHz, | δC (MeOD, 100 MHz) |
|---|---|---|
| 1 | - | 132.1 (C) |
| 2 | 7.54 (m) | 125.9 (CH) |
| 3 | 7.64 (m) | 126.6 (CH) |
| 4 | 8.2 (m) | 123.4 (CH) |
| 5 | - | 134 (C) |
| 6 | 7.54 (m) | 126.1 (CH) |
| 7 | 7.93 (m) | 128.7 (CH) |
| 8 | 7.93 (m) | 129.7 (CH) |
| 9 | 7.64 (m) | 129.6 (CH) |
| 10 | - | 131.9 (C) |
| 11 | 4.4 (s) | 56.8 (C) |
| 12 | 3.6 (d, 7) | 58.2 (CH2) |
| 13 | 5.9 (d, 15.9) | 118.2 (CH) |
| 14 | 6.1 (m) | 131.7 (CH) |
| 15 | - | 76.6 (C) |
| 16 | - | 100.1 (C) |
| 17 | - | 27.6 (C) |
| 18–20 | 1.23 (s) | 29.9 (CH3) |
| 21 (N-CH3) | 2.52 (s) | 39.9 (CH3) |
a Assignments were done based on COSY, HSQC and HMBC experiments.
Figure 5Chemical structure of the active metabolite produced by Lysinibacillus isolate MK212927 based on the spectral data showing 1H NMR,13C NMR signals assignments and 2D NMR (COSY, HMBC) correlations.