| Literature DB >> 27583463 |
Xunhang Li1,2, Yanzhou Zhang1, Zhiwen Wei1, Zhengbing Guan1, Yujie Cai1, Xiangru Liao1.
Abstract
The gummosis disease is caused by Botryosphaeria dothidea (Moug. ex. Fr) Ces. et de Not., and it is one of the most important diseases of stone fruits worldwide. The use of biocontrol as an alternative approach to synthetic chemical fungicides has aroused general concern about how to control plant diseases that are caused by phytopathogens. The aim of this study is to isolate Bacillus strains from raw honeys with the capacity to inhibit B. dothidea and to explore the mechanisms by which they could be used in the biocontrol of peach gummosis. Bacillus amyloliquefaciens SYBC H47 was isolated and identified on the basis of its physiological and biochemical characteristics and its 16S rRNA and gyrB gene sequences. The cell suspension and the cell-free supernatant of its culture showed significant antifungal activity against Aspergillus niger, Mucor racemosus, Fusarium oxysporum, Penicillium citrinum, and Candida albicans by agar-diffusion assays. The primary antifungal substances were bacillomycin L, fengycin, and surfactin, which were analyzed by HPLC LC/ESI-MS/MS. Bacillomycin L showed the best inhibitory effect against conidial germination of B. dothidea, followed by fengycin and surfactin. Surfactin had limited effects on mycelial growth, contrary to those of bacillomycin L and fengycin. However, a mixture of the three lipopeptides had a synergistic effect that disrupted the structure of the conidia and mycelia. In order to reduce the production cost, the use of waste frying peanut oil and soy oil as the sole carbon source increased the lipopeptide yield levels by approximately 17% (2.42 g/L) and 110% (4.35 g/L), respectively. In a field trial, the decreases in the infected gummosis rate (IGR) and the disease severity index (DSI) through cell suspension treatments were 20% and 57.5% (in 2014), respectively, and 40% and 57.5% (in 2015), respectively, in comparison with the control. In conclusion, B. amyloliquefaciens SYBC H47 could inhibit the germination of conidia and the growth of mycelia from B. dothidea; therefore, this strain behaves as a potential biocontrol agent against the gummosis disease.Entities:
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Year: 2016 PMID: 27583463 PMCID: PMC5008826 DOI: 10.1371/journal.pone.0162125
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Phenotypic characteristics that differentiate strain SYBC H47 from phylogenetically related Bacillus species.
| Characteristic | 1 | 2 | 3 | 4 |
|---|---|---|---|---|
| Pigmentation | Creamy white | Creamy white | Opaque | Creamy white |
| NaCl tolerance | 15% | 10% | 10% | 4% |
| Growth temperature (°C) | 15–45 | 15–50 | 15–55 | 20–45 |
| Hemolytic activity | + | + | - | + |
| Acid production from: | ||||
| D-Xylose | + | - | + | - |
| L-Rhamnose | - | + | - | + |
| N-Acetylglucosamine | - | - | - | + |
| Lactose | + | + | - | + |
| Melibiose | + | + | - | + |
| Raffinose | - | + | + | - |
| Potassium gluconate | - | - | - | + |
| Citrate utilization | + | + | - | - |
| Indole production | + | + | - | - |
| DNA G+C content (mol%) | 46 | 46 | 45 | 45 |
Taxa: 1, strain SYBC H47 (data from this study); 2, B. amyloliquefaciens FZB42 [41]; 3, B. subtilis subsp. subtilis 168 (data from this study). 4, B. velezensis CBMB205 = B. methylotrophicus KACC 13105 [42]. All the isolates were positive for motility, catalase, strict aerobic growth, nitrate reduction to nitrite and the Voges-Proskauer test. All the taxa were positive for glycerol, L-arabinose, D-ribose, D-glucose, fructose, D-mannose, sorbitol, inositol, D-mannitol, methyl α-D-glucoside, amygdalin, aesculin, cellobiose, maltose, sucrose, trehalose, and starch. All the taxa were negative for nitrate reduction to N2, propionate, fucose, and potassium 2-ketogluconate. +, positive; -, negative.
Fig 1Phylogenetic trees based on 16S rRNA (a) and gyrB (b) gene sequences of strain SYBC H47 from bacteria related to Bacillus species.
The trees were constructed with the neighbor-joining method, and the genetic distances were computed by the maximum parsimony options model. The numbers at the branches denote the bootstrap percentages for 1,000 replicates. Bar, the number of substitutions at certain nucleotide positions.
Comparison of gyrB and 16S rRNA gene sequence similarity between Bacillus strains.
| strain SYBC H47 | |
| 99.4 / 99.9 | |
| 99.2 / 99.9 | |
| 99.0 / 99.9 | |
| 98.9 / 99.9 | |
| 95.9 / 99.7 | |
| 99.0 / 99.8 | |
| 81.0 / 99.7 | |
| 81.0 / 99.6 | |
| 82.0 / 99.4 | |
| 83.0 / 99.4 | |
| 78.0 / 97.9 | |
| 72.4 / 93.5 | |
| 71.3 / 93.8 | |
| 70.9 / 93.6 |
Fig 2GIR of cell suspension and cell-free supernatant against six indicator fungi.
1: B. dothidea; 2: A. niger; 3: M. racemosus; 4: F. oxysporum; 5: P. citrinum; and 6: C. albicans. Gray columns represent cell suspension, and white columns represent cell-free supernatant.
Fig 3RP-HPLC chromatogram of antifungal substances at 210 nm.
The peaks with numerical labels were infused into the MALDI SYNAPT Q-TOF MS and fractionated for further analysis.
Primary peaks detected by a UV-MALDI TOF MS analysis of the lipopeptides produced by strain SYBC H47.
| Lipopeptide classes | Fatty acid chain | Calculated ( | Fractions | ||
|---|---|---|---|---|---|
| [M+H]+ | [M+Na]+ | [M+K]+ | |||
| Bacillomycin L | |||||
| C13 | 1007.5 | 1029.5 | 1045.5 | 1–4 | |
| C14 | 1021.5 | 1043.5 | 1059.5 | ||
| C15 | 1035.5 | 1057.5 | 1073.5 | ||
| Fengycin A | |||||
| C16 | 1463.8 | 1485.8 | 1501.8 | 5–8 | |
| C17 | 1477.8 | 1499.8 | 1515.8 | ||
| Fengycin B | |||||
| C16 | 1491.8 | 1513.8 | 1529.8 | ||
| C17 | 1505.9 | 1527.8 | 1543.8 | ||
| Surfactin | |||||
| C13 | 994.6 | 1016.6 | 1032.6 | 9–12 | |
| C13,C14 | 1008.6 | 1030.6 | 1046.7 | ||
| C14,C15 | 1022.7 | 1044.6 | 1060.7 | ||
| C15 | 1036.7 | 1058.6 | 1074.6 | ||
Fig 4Mass spectra corresponding to an RP-HPLC chromatogram LC-MS of the methanolic fraction from antifungal substances.
a: Mass spectra corresponding to the bacillomycin L homolog; b: Mass spectra corresponding to the fengycin homolog; c: Mass spectra corresponding to the surfactin homolog.
Fig 5Effects of different lipopeptides on the suppression of conidial germination.
The lipopeptide mixture was composed of bacillomycin: fengycin: surfactin (1:1:1, v/v/v).
Fig 6Effects of different lipopeptides on the suppression of mycelial growth.
The lipopeptide concentration was 100 μm/mL.
Fig 7Effects of the lipopeptide mixture and water on the cell membranes of mycelia.
The concentration of the lipopeptide mixture was 100 μm/mL. a: Mycelia treated with water; b: mycelia treated with lipopeptide mixture; c: relative conductivity of B. dothidea mycelia grown in PDB amended with 100 μm/mL of lipopeptide mixture. Black arrow: mycelia of strain SYBC H47.
Lipopeptide concentration produced by strain SYBC H47 when using different oil substrates as the sole carbon source.
| Substrates | Lipopeptide concentration (g/L) | Bacillomycin L (%) | Fengycin (%) | Surfactin (%) |
|---|---|---|---|---|
| waste frying peanut oil | 2.42 ± 0.41b | 30.35 | 42.79 | 26.86 |
| waste frying soy oil | 4.35 ± 0.26a | 42.22 | 37.55 | 20.23 |
| Landy medium (control) | 2.07 ± 0.17b | 36.70 | 34.76 | 28.54 |
The different letters (a and b) listed after each number represent significant difference between treatments and control (P<0.05) by Duncan’s test.
Effects of the disease incidence rate and disease severity index of gummosis for different treatments in the field trial.
| Treatment | Cell suspension | Lipopeptide liquor | Carbendazol | Water |
|---|---|---|---|---|
| 2014 | ||||
| IGR (%) | 80.0b | 90.0ab | 100.0a | 100.0a |
| DSI (%) | 27.5c | 32.5c | 57.5b | 85.0a |
| 2015 | ||||
| IGR (%) | 60.0c | 80.0b | 100.0a | 100.0a |
| DSI (%) | 22.5c | 30.0c | 60.0b | 80.0a |
For the data for treatments that were summarized from the same trees in 2014 and 2015, each treatment had 10 replications. The suspension concentration was 2×106 cfu/mL and the carbendazol concentration was 200 μg/mL. Distilled water was used as a control. The different letters (a, b and c) listed after each number represent significant difference between treatments and control (P<0.05) by Duncan’s test.