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Frontiers of Chemical Science and Engineering

ISSN 2095-0179

ISSN 2095-0187(Online)

CN 11-5981/TQ

Postal Subscription Code 80-969

2018 Impact Factor: 2.809

Front. Chem. Sci. Eng.    2023, Vol. 17 Issue (12) : 2101-2113    https://doi.org/10.1007/s11705-023-2361-5
RESEARCH ARTICLE
Discovery of novel ursolic acid derivatives as effective antimicrobial agents through a ROS-mediated apoptosis mechanism
Yihong Yang, Siyue Ma, Ting Li, Jingjing He, Shitao Liu, Hongwu Liu, Jiaojiao Zhang, Xiang Zhou(), Liwei Liu, Song Yang()
National Key Laboratory of Green Pesticide, Key Laboratory of Green Pesticide and Agricultural Bioengineering (Ministry of Education), Center for R & D of Fine Chemicals of Guizhou University, Guiyang 550025, China
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Abstract

In response to the reduction of food production and economic losses caused by plant bacterial diseases, it is necessary to develop new, efficient, and green pesticides. Natural products are rich and sustainable source for the development of new pesticides due to their low toxicity, easy degradation, and eco-friendliness. In this study, we prepared three series of ursolic acid derivatives and assessed their antibacterial ability. Most target compounds exhibited outstanding antibacterial activities. Among them, the relative optimal EC50 values of Xanthomonas oryzae pv. oryzae and Xanthomonas axonopodis pv. citri were 2.23 (A17) and 1.39 (A16) μg·mL–1, respectively. The antimicrobial mechanism showed that compound A17 induced an excessive accumulation and production of reactive oxygen species in bacteria and damaged the cell membrane integrity to kill bacteria. More interestingly, the addition of low concentrations of exogenous hydrogen peroxide enhanced the antibacterial efficacy of compound A17 against Xanthomonas oryzae pv. oryzae. These entertaining results suggested that compound A17 induced an apparent apoptotic behavior in the tested bacteria. Overall, we developed the promising antimicrobial agents that destroyed the redox system of phytopathogenic bacteria, further demonstrating the unprecedented potential of ursolic acid for agricultural applications.

Keywords ursolic acid      antibacterial activities      reactive oxygen species      apoptosis     
Corresponding Author(s): Xiang Zhou,Song Yang   
Online First Date: 03 November 2023    Issue Date: 30 November 2023
 Cite this article:   
Yihong Yang,Siyue Ma,Ting Li, et al. Discovery of novel ursolic acid derivatives as effective antimicrobial agents through a ROS-mediated apoptosis mechanism[J]. Front. Chem. Sci. Eng., 2023, 17(12): 2101-2113.
 URL:  
https://academic.hep.com.cn/fcse/EN/10.1007/s11705-023-2361-5
https://academic.hep.com.cn/fcse/EN/Y2023/V17/I12/2101
Fig.1  (a) Bioactive derivatives of UA; (b) compounds that contain antibacterial units; (c) design strategy for target compounds.
  Scheme1 Synthetic route for target compounds A1–A22.
  Scheme2 Synthetic route for title molecules B1–B10.
  Scheme3 Synthetic route for target compounds C1–C6.
CompoundsXooXac
Regression equationEC50/(μg·mL–1)Regression equationEC50/(μg·mL–1)
UA> 100> 100
A1y = 1.3485x + 4.08474.77 ± 0.08y = 4.5158x + 4.14411.55 ± 0.01
A2y = 2.8466x + 3.22544.20 ± 0.02y = 3.1304x + 3.67432.65 ± 0.04
A3y = 1.6833x + 3.75725.47 ± 0.11y = 1.0546x + 4.51432.89 ± 0.02
A4y = 3.1192x + 1.802310.60 ± 0.01y = 0.7948x + 4.44125.05 ± 0.15
A5> 100y = 0.6888x + 4.51685.03 ± 0.18
A6> 100> 100
A7> 100> 100
A8y = 1.4445x + 3.75827.24 ± 0.02y = 1.6773x + 4.31092.58 ± 0.08
A9y = 3.1241x + 2.89864.71 ± 0.15y = 2.1874x + 4.24832.21 ± 0.03
A10y = 1.8586x + 3.15909.78 ± 0.41y = 0.7490x + 4.37436.85 ± 0.10
A11y = 1.6168x + 3.148213.90 ± 0.20y = 1.5910x + 4.25922.92 ± 0.05
A12> 100> 100
A13> 100> 100
A14y = 2.1129x + 3.78123.77 ± 0.08y = 3.8544x + 3.93091.89 ± 0.02
A15y = 2.9677x + 3.01734.66 ± 0.04y = 2.5479x + 4.56171.49 ± 0.01
A16y = 2.8108x + 3.17674.45 ± 0.06y = 7.8826x + 3.88171.39 ± 0.06
A17y = 2.8140x + 4.02002.23 ± 0.04y = 1.7133x + 3.86184.62 ± 0.11
A18y = 2.3797x + 2.77668.60 ± 0.13y = 2.6996x + 3.46393.71 ± 0.04
A19> 100> 100
A20> 100> 100
A21> 100> 100
A22> 100> 100
BTy = 3.4433x – 0.059829.48 ± 0.27y = 1.5478x + 1.963061.92 ± 0.91
TCy = 4.9500x – 4.719591.95 ± 0.79y = 1.3619x + 2.619555.97 ± 0.96
Tab.1  EC50 values of title molecules A1A22 against pathogens in vitro
CompoundsXooXac
Regression equationEC50/(μg·mL–1)Regression equationEC50/(μg·mL–1)
B1y = 2.6401x + 2.098312.56 ± 0.05y = 4.1497x – 0.076316.72 ± 0.12
B2y = 1.6770x + 3.88934.60 ± 0.04y = 2.2433x + 2.507712.91 ± 0.21
B3> 100> 100
B4> 100> 100
B5> 100> 100
B6> 100> 100
B7y = 1.8850x + 3.51356.15 ± 0.44y = 1.6010x + 3.028217.05 ± 0.09
B8y = 1.0727x + 4.14886.22 ± 0.13y = 2.1255x + 2.603213.41 ± 0.19
B9y = 2.3299x + 2.194816.00 ± 0.20y = 1.2564x + 3.136530.42 ± 0.52
B10y = 1.6409x + 3.59867.15 ± 0.11y = 1.7408x + 2.835417.52 ± 0.60
BTy = 3.4433x – 0.059829.48 ± 0.27y = 1.5478x + 1.963061.92 ± 0.91
TCy = 4.9500x – 4.719591.95 ± 0.79y = 1.3619x + 2.619555.97 ± 0.96
Tab.2  EC50 values of title molecules B1B10 against pathogens in vitro
Fig.2  SAR analysis of title molecules.
CompoundsXooXac
Regression equationEC50/(μg·mL–1)Regression equationEC50/(μg·mL–1)
C1> 100> 100
C2> 100> 100
C3> 100> 100
C4> 100> 100
C5> 100> 100
C6> 100> 100
BTy = 3.4433x – 0.059829.48 ± 0.27y = 1.5478x + 1.963061.92 ± 0.91
TCy = 4.9500x – 4.719591.95 ± 0.79y = 1.3619x + 2.619555.97 ± 0.96
Tab.3  EC50 values of compounds C1C6 against pathogens in vitro
Fig.3  Fluorescence pattern of Xoo cells after incubation with compound A17 at (a) 0 μg·mL–1, (b) 12.5 μg·mL–1, (c) 25 μg·mL–1, and (d) 50 μg·mL–1, respectively (scale bar =10 μm).
Fig.4  The effect of compound A17 on enzyme activities. (a) CAT enzyme activities triggered by different dosages of compound A17; (b) SOD enzyme activities triggered by different dosages of compound A17. Statistical analysis was conducted using the ANOVA method under the condition of equal variances assumed (p > 0.05) and equal variances not assumed (p < 0.05). Different lower-case letters indicate the control efficiencies with significant differences among different treatment groups at p < 0.05.
Fig.5  Effect of exogenous H2O2 on the bactericidal ability of compound A17. (a) Schematic and (b) images of plate assay after treatment with 0 μg·mL–1 H2O2 or compound A17, 0.05 mmol·L–1 H2O2, 12.5 μg·mL–1 compound A17, and 12.5 μg·mL–1 compound A17 + 0.05 mmol·L–1 H2O2; (c) average bacterial colony diameter after treatment with A17 and H2O2. Statistical analysis was conducted using the ANOVA method under the condition of equal variances assumed (p > 0.05) and equal variances not assumed (p < 0.05). Different lower-case letters indicate the control efficiencies with significant differences among different treatment groups at p < 0.05.
Fig.6  SEM images of Xoo after incubation with various dosages of compound A17 at (a) 0 μg·mL–1, (b) 3.125 μg·mL–1, (c) 6.25 μg·mL–1, (d) 12.5 μg·mL–1, (e) 25 μg·mL–1, and (f) 50 μg·mL–1 (scale bar = 2 μm).
Fig.7  AO-EB staining pattern of Xoo cells triggered by various concentrations of molecule A17. A17-treated Xoo cells stained with (a–c) AO and (d–f) EB. (g–i) Superimposed images of AO and EB staining (scale bar = 10 μm).
Fig.8  Schematic illustration of the action mechanism for compound A17 on Xoo cells.
ChemicalsCurative activityProtective activity
Morbidity/%Disease index/%Control efficiency/%b)Morbidity/%Disease index/%Control efficiency/%b)
A1710045.1947.41 b10040.7452.99 b
A17-OPO10035.5658.62 a10031.8563.25 a
A17-OSi10034.0760.34 a10029.6365.81 a
BT10048.8943.10 c10048.8943.59 c
TC10049.6342.24 c10051.1141.03 c
CKa)10085.9310086.67
Tab.4  Control effects of compound A17 against rice bacterial blight at 200 μg·mL–1 in vivo
ChemicalsProtective efficiency/%a)Curative efficiency/%a)
A1682.73 ± 15.94 a56.50 ± 5.26 b
TC69.32 ± 16.31 a52.81 ± 8.12 b
Tab.5  In vivo control efficiencies (14 days after spraying) of compound A16 and TC against citrus bacterial canker at 200 μg·mL–1
Fig.9  In vivo pot assay of compounds A17, A17-OPO, A17-OSi, BT, and TC at doses of 200 μg·mL–1 against rice bacterial blight.
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