Next Article in Journal
Bcl-2 Family of Proteins in the Control of Mitochondrial Calcium Signalling: An Old Chap with New Roles
Previous Article in Journal
Identification of QTLs and a Candidate Gene for Reducing Pre-Harvest Sprouting in Aegilops tauschiiTriticum aestivum Chromosome Segment Substitution Lines
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Structural Investigation and Molecular Modeling Studies of Strobilurin-Based Fungicides Active against the Rice Blast Pathogen Pyricularia oryzae

1
Department of Food, Environmental and Nutritional Science (DeFENS), University of Milan, 20133 Milan, Italy
2
Department of Pharmacological and Biomolecular Sciences (DiSFeB), University of Milan, 20133 Milan, Italy
3
Data Science Research Center (DSRC), University of Milan, 20133 Milan, Italy
*
Authors to whom correspondence should be addressed.
Int. J. Mol. Sci. 2021, 22(7), 3731; https://doi.org/10.3390/ijms22073731
Submission received: 22 February 2021 / Revised: 27 March 2021 / Accepted: 1 April 2021 / Published: 2 April 2021
(This article belongs to the Section Molecular Informatics)

Abstract

:
The increasing emergence of fungicide-resistant pathogens requires urgent solutions for crop disease management. Here, we describe a structural investigation of new fungicides obtained by combining strobilurin and succinate dehydrogenase inhibitor pharmacophores. We identified compounds endowed with very good activity against wild-type Pyricularia oryzae, combined in some cases with promising activity against strobilurin-resistant strains. The first three-dimensional model of P. oryzae cytochrome bc1 complex containing azoxystrobin as a ligand was developed. The model was validated with a set of commercially available strobilurins, and it well explains both the resistance mechanism to strobilurins mediated by the mutation G143A and the activity of metyltetraprole against strobilurin-resistant strains. The obtained results shed light on the key recognition determinants of strobilurin-like derivatives in the cytochrome bc1 active site and will guide the further rational design of new fungicides able to overcome resistance caused by G143A mutation in the rice blast pathogen.

1. Introduction

The mitochondrial respiratory chain is one of the most important targets for the development of agricultural fungicides [1]. Different fungicide classes act on enzymes within the respiratory chain, the most important being succinate dehydrogenase inhibitors (SDHI, or complex II) and strobilurins (quinone outside inhibitors, QoI, or complex III) [2,3,4,5,6]. Strobilurins interact with the cytochrome bc1 complex (complex III) involved in electron transfer, oxidation of hydroquinone, and reduction of cytochrome c in the mitochondrial respiratory chain. Strobilurin fungicides have been a milestone in the fungicide market, and they are still among the best-selling agrochemicals worldwide. Succinate dehydrogenase (SDH), on the other side, is a particular enzyme on the interface between the tricarboxylic acid cycle (TCA) and the mitochondrial respiratory chain. It couples the oxidation of succinate to fumarate in TCA with the reduction of ubiquinone to ubiquinol in the electron transfer chain. SDHI are the fastest growing class of fungicides in terms of newly discovered products [7].
Notwithstanding their enormous potential, both fungicide classes have a single-site mode of action, which makes them prone to resistance development in fungal pathogen populations. The resistance to strobilurins is most often determined by a single amino acid substitution from glycine to alanine (G143A) and until now has been detected in approximately 50 different pathogens, while diverse mutations in the B, C, and D subunits of the SDH enzyme are known in ca. 20 fungal species [8,9,10]. Strict anti-resistance measures are being applied particularly to strobilurin use to ensure their long-lasting activity and to delay the spread of fungicide resistance, e.g., limited number of treatments, preferably in a mixture or rotation with fungicides having a different mode of action [11].
Rice blast, caused by the fungus Pyricularia oryzae, is one of the most serious fungal diseases of cultivated rice worldwide, causing each year 10–30% yield losses corresponding to ca. 70 billion USD of economic loss [12,13,14]. It is managed predominantly by fungicides, especially in regions where traditional rice blast-susceptible varieties are grown, and breeding of resistant varieties has been neglected. During the years, diverse fungicide classes have been used against P. oryzae, among which β-tubulin inhibitors (e.g., benomyl), sterol biosynthesis inhibitors (e.g., propiconazole), melanin biosynthesis inhibitors (e.g., tricyclazole), antibiotics (e.g., kasugamycin), or QoI/strobilurins (e.g., azoxystrobin) [15,16]. In Europe and particularly in Italy, only strobilurins and demethylation inhibitors (DMI) are currently approved [17]. Therefore, to augment the portfolio of fungicides for rice blast management and to delay/overcome the resistance development against at-risk fungicides, new solutions are urgently needed.
In the search for innovative antifungal treatments, we reported in a recent paper the development of new hybrid fungicides obtained by combining the pharmacophore features of QoI and SDHI [18]. The first-generation hybrid compounds (Figure 1, 1a–c) featured the three ring-based structure of azoxystrobin (2) and contained the methyl-(E)-β-methoxyacrylate strobilurin pharmacophore connected by a proper linker to the carboxamide pharmacophore of three commercial SDHI inhibitors, e.g., mepronil (3), fluopyram (4), and boscalid (5). The pilot hybrid compounds showed good in vitro mycelium growth inhibition of the rice blast pathogen, Pyricularia oryzae; however, they almost completely lost their activity on strobilurin-resistant strains.
The major goal of this work was to modify the structure of the most promising candidate 1a in order to obtain highly active compounds, possibly capable of overcoming strobilurin resistance in P. oryzae.
The strobilurin pharmacophore was maintained unaltered, as it was previously found to interact very strongly with the enzyme. Instead, attention was focused on the following aspects:
  • Spatial orientation of the two pharmacophores
  • Role and nature of the linker
  • Nature and substitution pattern of the SDHI pharmacophore.

2. Results

To address the objectives described above, we synthesized compounds reported in Figure 2. Initially, we investigated the influence of the orientation of the two pharmacophore moieties. For this purpose, we prepared derivatives 7 and 8 with SDHI and QoI pharmacophores positioned in ortho and para relative positions on the central ring, respectively (Figure 2). Moreover, we varied the position of the substituent (methyl group) on the benzamide ring (compounds 9 and 10).
Successively, we investigated the effect of the introduction of diverse substituents on the benzamide ring. Thus, we prepared compounds 11ag bearing substituents with different steric and stereoelectronic properties.
After this, we changed the nature of the aromatic ring in the SDHI moiety, replacing the benzamide with a heterocyclic amide (compounds 12 and 13). Compound 13 is featured with the pyrazole carboxamide found in the commercial SDHI inhibitor fluxapyroxad (6, Figure 1).
Finally, we focused our attention on the linker between the two pharmacophores. In compounds 14a–c, we increased the distance between the strobilurin and SDHI moieties, using glycine, β-alanine, and γ-aminobutyric acid (GABA) as linkers. In addition, a further aromatic ring was placed between the two active moieties in compound 15 (Figure 2).

2.1. Chemistry

Compound 7 was prepared by reacting (E)-methyl 2-(2-(bromomethyl)phenyl)-3-methoxyacrylate [18] with tert-butyl 2-hydroxyphenylcarbamate 16, followed by removal of the Boc protecting group and acylation of the resulting compound 18 with 2-methylbenzoic acid. The same synthetic strategy was used to obtain the isomer 8 starting from tert-butyl 4-hydroxyphenylcarbamate 19 (Scheme 1).
The synthesis of compounds 9–13 started from the common precursor 22 [18], which was coupled with the suitable carboxylic acid using EDC·HCl and HOBt as coupling reagents and DIPEA at 0 °C (Scheme 2).
Compounds 14a–c were prepared starting from 2-methylbenzoic acid 23, which was condensed with glycine, β-alanine, and GABA, respectively, to obtain intermediate acids 24a–c. Coupling with the amine 22 in the presence of EDC and HOBt provided the desired compounds 14a–c. Compound 15 was obtained by reaction of 23 with 3-aminobenzoic acid to give 25, which was then condensed with 22 following the protocol described above (Scheme 3).

2.2. Biological Activity

The inhibitory activity of the novel compounds 7–15 on the mycelium growth of P. oryzae was evaluated and compared to the activity of the reference compound 1a (Figure 3, Table 1). Acetone (ACT), used as a solvent, did not show any inhibitory activity on P. oryzae mycelium growth. The commercial fungicides azoxystrobin (AZX; QoI) and fluxapyroxad (FXP, SDHI) and the newly synthesized compounds were tested at the final concentration of 25 mg/L. AZX inhibited > 90% of the growth of wild-type (WT) strains, while the strobilurin-resistant (RES) strains were inhibited to < 50%. On the contrary, FXP (SDHI) showed low activity on WT strains (65% inhibition) but > 90% inhibition of RES strains.

2.3. SDH and Qo Inhibitory Activity of Compound 11b

As compound 11b showed very promising biological activity on both WT and RES strains of P. oryzae (>80% inhibition), we hypothesized that it maintained good Qo and SDH inhibitory activity. The measurement of decylubiquinol:Cyt c reductase activity (i.e., the Cyt bc1 complex activity) was performed to evaluate the QoI action of the selected compound. To this purpose, the reduction rate of Cyt c mediated by the mitochondrial fraction of P. oryzae was measured using decylubiquinol (DBH2) as the electron-donor substrate. The DBH2: Cyt c reductase activity was inhibited by 58 ± 18% by the compound 11b (50 µM). A similar inhibition value (61 ± 10%) was observed for azoxystrobin (50 µM), thus confirming that 11b retained the QoI action.
SDH enzymatic assay was performed measuring the electron transfer rate mediated by the mitochondrial fraction of P. oryzae in the presence of 2,3-dimethoxy-5-methyl-p-benzoquinone and succinate by a colorimetric method, using the redox dye 2,6-dichlorophenolindophenol (DCPIP, Figure 4).
Fluxapyroxad showed > 90% inhibition of SDH activity at the concentration of 40 µM. Surprisingly, at the same concentration, no SDH inhibition was observed for compound 11b. By increasing the concentration to 400 µM, approximately 23% inhibition of the SDH enzyme activity was observed.

2.4. In Silico Modeling and Docking

Since no experimental structures for P. oryzae cytochrome bc1 in complex with azoxystrobin are available, we produced a 3D model by homology. The Ramachandran plot (Figure 5), the side-chain packing, and the stereochemical quality were carefully checked to verify that all these parameters were suitable and consistent with typical values found in template crystallographic structures.
The final model contained azoxystrobin that was transferred by the selected template (PDB ID: 1SQB). The selected docking procedure, thoroughly described in the Materials and Methods section, was validated testing well-known strobilurin QoI: azoxystrobin, trifloxystrobin, kresoxim-methyl, and metominostrobin, characterized by the presence of a β-methoxyacrylate, α-methoxyimino acetate, or α-methoxyimino-N-methylacetamide pharmacophore, respectively (Figure 6). Metyltetraprole, a newly discovered strobilurin derivative insensitive to G143A mutation and thus active also against strobilurin-resistant pathogens [19,20], was added to validate the QoI binding site of the model.
The top-scoring docking solution for all the validation-set compounds showed a binding mode highly similar to the azoxystrobin placement in the bovine cytochrome bc1 (PDB ID: 1SQB) [21], in which the pharmacophore was very close to the G143 protein residue (Figure 7A–G, Table 2). The only validation compound with a top-scoring solution having a completely different orientation was pyraclostrobin; however, the second solution was similar to the co-crystallized azoxystrobin. The orientation of the methylester and the bioisosteric groups showed an interesting variability, with two different solutions (file S1). The superposition of the top-scoring poses for the entire validation set confirms a key role for Glu273 (Figure 7G) as observed in other organisms [22].
After validating the docking procedure, the five most active new compounds (10, 11a, 11b, 11e, and 13) were docked to gain more insights into their binding interactions (Table 3). All the five selected compounds showed a top-scoring pose with an orientation similar to the co-crystallized azoxystrobin in 1SQB and to the validation set, i.e., with the methoxyacrylate moiety close to G143; some other poses with higher energy values showed an orientation not compatible with the azoxystrobin/strobilurin binding mode.
The top-scoring poses of all five compounds showed a very similar binding mode, characterized by a strong overlap of the common rings and functional groups, as reported in Figure 8.
Figure 9 describes the ligand interaction diagram for azoxystrobin, metyltetraprole, and compound 11b, showing the role of Glu273 in the formation of a stable H-bond between the carbonyl function of the ester group and the amide function of the protein backbone. Moreover, in both azoxystrobin and metyltetraprole, Phe129 plays a stabilizing role through the formation of a π-π stacking interaction with the aromatic ring distal with respect to the methoxyacrylic function.
Since compound 11b maintained its biological activity also against strobilurin-resistant strains containing the G143A mutation (Figure 3), we tested the impact of this mutation on the cytochrome bc1 complex using a specific residue scan tool. The mutant protein showed a positive unfavorable ΔAffinity (approx. 5.7 kcal/mol), similar to the ΔAffinity value for azoxystrobin (approx. 4.7 kcal/mol) on the same mutant. On the contrary, the impact of the same mutation on the molecular recognition of metyltetraprole was negligible (approx. −0.7 kcal/mol), suggesting that the correctly oriented and less bulky methyltetrazolone ring did not negatively interact with the methyl group of A143.

3. Discussion

Rice blast is the main fungal disease of cultivated rice worldwide, causing 10–30% yield losses each year. Its management still relies on the use of fungicides, but the development of resistance augments food insecurity and requires urgent and innovative solutions.
In this paper, we report a structural investigation on new fungicides obtained by combining the pharmacophores of two classes of marketed antifungal compounds: strobilurins and SDH inhibitors. The study focused on the structural variations/modifications of a previously identified hit candidate, with the aim to increase the antifungal activity both on wild-type and, more importantly, on strobilurin-resistant strains of P. oryzae. The spatial orientation of the two pharmacophores, the role and nature of the linker, and the substitution patterns of the SDHI pharmacophore were studied to shed light on the key structural determinants of their activity.
The obtained results clearly show that the relative orientation of the QoI and SDHI pharmacophores and the entire shape of the fungicide strongly impact the biological activity of the hybrid molecule. In particular, arranging the SDHI and QoI pharmacophores in ortho position on the central ring (Figure 2, compound 7) resulted in a significant drop in activity against the wild-type strains. Compound 8, with the two pharmacophores in para position, maintained activity comparable to 1a (meta position), remaining, however, almost inactive on resistant strains. This indicates that the introduction of the SDHI pharmacophore in ortho position probably creates a steric obstacle to the binding of the QoI-pharmacophore in the cytochrome b binding pocket, while meta and para orientations do not interfere with the binding.
The position of the substituent (methyl group) on the benzamide ring of the SDHI pharmacophore also affects the biological activity of the compounds. In particular, compound 10 with the methyl group in para on the carboxamide ring had higher activity on the resistant strains (52% inhibition) than compounds 9 (28%) and 1a (20%).
Increasing the length of the spacer between the two pharmacophores was deleterious. In fact, compounds 14a–c, with glycine, β-alanine, and γ-aminobutyric acid as linkers, and 15, with an additional aromatic ring between the two active moieties, showed low activity. Interestingly, the activity decreased with the increase of the chain length (14a versus 14b versus 14c).
Changing the nature of the aromatic ring in the SDHI moiety by replacing the benzamide with a heterocyclic amide (compounds 12 and 13) maintained a good activity of dual compounds on WT strains (73% and 87%, respectively). Interestingly, compound 13, which was featured with the pyrazole carboxamide found in the commercial SDHI inhibitor fluxapyroxad, maintained some activity also on RES strains (57% inhibition).
The introduction of substituents with different steric and stereoelectronic properties on the SDHI benzamide ring had a major effect on the activity of dual compounds. Compounds 11a and 11c showed activity comparable to the reference scaffold 1a, while 11d, 11g, and 11f were endowed with a lower efficacy. Compounds 11b and 11e showed excellent inhibition of wild-type strains (>80% inhibition), with compound 11b maintaining a strong activity also on resistant strains.
Unexpectedly, 11b showed low activity against SDH enzyme in the succinate:quinone oxidoreductase (SQR) assay. This prompted us to further investigate the binding mode of the compound with cytochrome bc1 by developing a three-dimensional model of P. oryzae cytochrome bc1 supramolecular assembly in complex with azoxystrobin. We simulated the putative binding site of our novel compounds, evidencing that they share the same binding mode of a set of selected commercially available strobilurins. Our in silico analysis suggests that the new compounds have the same molecular recognition mechanism of azoxystrobin for the P. oryzae cytochrome bc1 Qo binding site, as pointed out by their very good approx. binding free energy values computed through Glide XP Score, spanning from −12.6 to −9.1 kcal/mol, and from binding free energy values computed through MM-GBSA, spanning from −83.9 to −59.6 kcal/mol.
Interestingly, our finding suggests that the unique activity of the compound 11b against resistant strains of P. oryzae cannot be easily explained by our simulations, as the G143A mutation negatively impacts the binding of the compound differently from metyltetraprole. We speculate that additional targets other than cytochrome bc1 and SDH could be involved in the observed activity. Another intriguing hypothesis is that 11b could undergo biotransformation in P. oryzae, resulting in a compound able to efficiently bypass the resistance. Future efforts will be devoted to elucidating the peculiar activity of this promising compound.
Nevertheless, the availability of a new model for P. oryzae cytochrome bc1 in complex with azoxystrobin paves the way for a further rational design of new highly active compounds, possibly able to overcome the well-known strobilurin resistance in P. oryzae.

4. Materials and Methods

4.1. Chemistry

All reagents and solvents were reagent grade or were purified by standard methods before use. Melting points were determined in open capillaries on an SMP3 apparatus and are uncorrected.
1H NMR spectra were recorded on 300 and 600 MHz spectrometers; 13C NMR spectra were recorded on 300 and 600 MHz spectrometers. Solvents were routinely distilled prior to use; anhydrous THF and Et2O were obtained by distillation from sodium benzophenone ketyl; anhydrous CH2Cl2 was obtained by distillation from phosphorus pentoxide.
All reactions requiring anhydrous conditions were performed under a positive nitrogen flow, and all glassware was oven-dried. Isolation and purification of the compounds were performed by flash column chromatography on silica gel 60 (230–400 mesh). Analytical TLC was conducted on TLC plates (silica gel 60 F254, aluminum foil).
Compounds on TLC plates were detected under UV light at 254 and 365 nm or were revealed by spraying with 10% phosphomolybdic acid (PMA) in EtOH.
Compounds 16 [23], 19 [24], (E)-methyl 2-(2-(bromomethyl)phenyl)-3-methoxyacrylate [18], 22 [18], 24a [25], 25 [26], 2-benzyloxybenzoic acid [27], and 2-tert-butoxycarbonylaminobenzoic acid [28] were prepared as reported in literature.
The synthetic procedures for the obtainment of all the new compounds are reported in the Supplementary Material.

4.2. Fungal Strains

In this study, four strains of Pyricularia oryzae were used; two strains belonging to the Italian population and sensitive to quinone outside inhibitor (QoI) fungicides (WT): A2.5.2 and TA102; and two strains belonging to the Japanese population and resistant to QoI (RES): PO1312 and PO1336. The strains belong to a vast collection of monoconidial isolates maintained at the laboratory of plant pathology, University of Milan [29,30]. The strains were maintained as single-spore isolates on malt-agar medium (MA: 20 g/L malt extract, Oxoid, U.K.; 15 g/L agar, Oxoid, U.K.) at 4 °C.

4.3. Fungicides

The commercial fungicides azoxystrobin (AZX, Amistar SC—suspension concentrate, 22.9% ai., Syngenta Crop Protection) and fluxapyroxad (FXP, Sercadis EC—emulsifiable concentrate, 30% ai., BASF Italia, S.p.A.) were used as standards to evaluate the activity of QoI (azoxystrobin) and SDHI (fluxapyroxad) fungicides.

4.4. Inhibition of Mycelium Growth of Pyricularia oryzae by Novel Dual Compounds

The inhibitory activity of the novel dual compounds and commercial fungicides on the mycelium growth of P. oryzae was evaluated as described previously [18]. In short: a mycelium plug (0.5 cm in diameter) obtained from actively growing fungal colonies of P. oryzae A2.5.2, TA102, PO1312, and PO1336 was transferred to MA medium plates supplemented or not with commercial fungicides (AZX, FXP) and tested compounds at the concentration of 25 mg/L in three biological replicates. Due to the low solubility of the tested dual molecules in water, they were dissolved in acetone. Therefore, two controls were included: MA medium (C, control) and MA medium supplemented with acetone at the final concentration of 1% v/v (ACT). The plates were incubated at 24 °C in the dark. The mycelium growth was measured at 7 days after inoculation (DAI), and the inhibition of mycelium growth (%) was calculated by comparing the mycelium growth on control and fungicide-supplemented plates. The inhibition percentage was calculated as I% = (C−T)/C*100, where C = mycelium growth in the control medium and T = mycelium growth in the medium added with the tested compound. For AZX and FXP, the control was MA medium. For tested compounds, the control was considered ACT.

4.5. Enzyme Inhibition Assay for the Measurement of SDHI and QoI Action

P. oryzae mitochondrial fraction from the A2.5.2 strain was prepared as described previously [18].
The SDHI action was evaluated measuring the succinate: quinone oxidoreductase (SQR) activity (i.e., the succinate dehydrogenase activity; EC 1.3.5.1) of the mitochondrial fraction in the presence of 11b compound using a method based on the use of the redox dye, 2,6-dichlorophenolindophenol (DCPIP) [31], with some modifications as described previously [18]. The enzyme reaction was monitored at 595 nm at fixed times using a fixed wavelength microplate reader (iMark™; Bio-Rad Laboratories, Inc., Hercules, CA, USA). To calculate the SQR reaction rate, the absorbance decrease due to the DCPIP reduction during the 2–60 min time interval was considered. Fluxapyroxad (37047, Sigma Aldrich, Milan, Italy) was used as the reference SDHI.
The strobilurin-like (QoI) action was evaluated measuring the decylubiquinol: Cyt c reductase activity (i.e., the Cyt bc1 complex activity; EC 1.10.2.2) of the mitochondrial fraction in the presence of the 11b compound, using the method described by Zhu et al. [32] with some modifications [18]. Azoxystrobin (31697, Sigma Aldrich, Milan, Italy) was used as the reference QoI.
In both enzyme assays, the enzyme rate in the presence of the tested molecule (ratemolecule) was compared to that achieved in the presence of the compound diluent DMSO (rateDMSO), in order to calculate the percent of inhibition (I %) as follows:
I   % = rate molecule   rate DMSO rate DMSO × 100

4.6. Statistical Analysis

The mycelium growth data for each treatment were grouped based on the QoI resistance of P. oryzae strains (WT or RES) and were submitted to ANOVA followed by a Tukey’s HSD post hoc test for multiple comparisons (p < 0.05) using the TukeyC package and R software, version R4.0.0 [33,34].
Similarly, ANOVA followed by posthoc Tukey’s HSD test for multiple comparisons was used for enzymatic activity data analysis.

4.7. In Silico Modeling

4.7.1. Homology Modeling of Cytochrome bc1 Complex

The Pyricularia oryzae cytochrome bc1 complex (complex III) primary structures were downloaded from the UniProt Protein Knowledgebase database (entry: Q85KP9 form P. grisea and G4N4E1 from P. oryzae, respectively [18]). After a protein BLAST search of the Protein Data Bank (RCSB PDB) database for homolog templates, the crystallographic structure of bovine cytochrome bc1 (PDB ID: 1SQB [21]), co-crystallized with azoxystrobin, chains E and N, was selected as a template for both subunits. Two alignments produced by the ClustalΩ software and manually optimized for cytochrome b and 1SQB chain N were used. Comparative model building was carried out by Schrödinger BioLuminate [35] Multiple Sequence Viewer/Editor in the knowledge-based model setting, including azoxystrobin, heme groups, and Fe-S clusters. The geometry of the final model was checked by the Ramachandran plot.

4.7.2. Ligand Preparation

Available/commercial ligands were downloaded from PubChem, and original ones were built with the Maestro 3D Builder tool. All ligands were prepared for docking with the LigPrep panel, using the OPLS3e [36] force field.

4.7.3. Molecular Docking and Affinity Calculations

The molecular docking procedure was carried out with the Schrödinger Small-Molecule Drug Discovery Suite [37]. The QoI binding site of the cytochrome bc1 complex was identified by the presence of azoxystrobin transferred from the bovine cytochrome bc1 complex (PDB ID: 1SQB [21]). Molecular docking was carried out via Glide in its extra precision (XP) mode [38,39,40]. Before the docking procedures, our model of cytochrome bc1 complex was prepared and energy-minimized via the BioLuminate Protein Preparation Wizard with the OPLS3e [36] force field. The same force field was applied in all the molecular docking procedures. The binding free energy of all the complexes produced by our molecular docking pipeline was evaluated via both Glide XP Score and Prime MM-GBSA that combines molecular mechanics with generalized Born and surface area scoring function [41]. The accuracy of the proposed methods is associated with a low level of accuracy. Glide XP Score is an empirical scoring function that approximates the ligand binding free energy, and that is generally good enough to separate ligands putatively from non-ligands. In Eberini et al. [42], we used an empirical scoring function for estimating ligand binding free energy after molecular docking: the comparison between computed and experimental affinities (i.e., dissociation constants, Ki, computed from ΔG values) showed approx. one order of magnitude accuracy for our predictions. An approach associated with a higher level of accuracy than the one based on Glide XP Score is based on MM-GBSA that allows the ligand to relax in the binding site.

4.7.4. Mutant Generation and Evaluation

The evaluation of the impact of G143A mutation on the enzyme stability and on the affinity for compound 11b was carried out with the Maestro BioLuminate Residue Scanning Tool, which considers the impact of a mutation on the stability of the protein (ΔStability) and on the affinity (ΔAffinity) for the tested ligand(s), expressed in kcal/mol [43].

Supplementary Materials

The Supplementary Materials are available online at https://www.mdpi.com/article/10.3390/ijms22073731/s1.

Author Contributions

Conceptualization, S.D., A.P., I.E., and P.C.; methodology, F.F., G.C., L.M., A.K., and L.P.; investigation, F.F., G.C., L.M., A.K., and L.P.; resources, A.P., S.D., A.K., P.C., and I.E.; data curation, F.F., G.C., L.M., A.K., and L.P.; writing—original draft preparation, A.K., A.P., S.D., and I.E.; writing—review and editing, all authors. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Acknowledgments

The research was partly supported by the University of Milan grant SEED2019 “Dual-active hybrid fungicides against Pyricularia oryzae”. L.P. and I.E. were supported by grants from MIUR—Progetto Eccellenza. I.E. was supported by the departmental “Linea 2- Azione A 2019” grant of the University of Milan. A.P. was supported by “Transition Grant 2015–2017—Linea 1A” of the University of Milan. G.C. was supported by Fondazione F.lli Confalonieri (PhD Scholarship). The authors thank Alessandra Casubolo for assistance in the enzyme assays experiments.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. FRAC. FRAC Code List©* 2020: Fungal Control Agents Sorted by Cross Resistance Pattern and Mode of Action. Available online: https://cpb-us-w2.wpmucdn.com/u.osu.edu/dist/b/28945/files/2020/02/frac-code-list-2020-final.pdf (accessed on 26 March 2021).
  2. Lamberth, C. Complex III inhibiting strobilurin esters, amides, and carbamates as broad-spectrum fungicides. In Bioactive Carboxylic Compound Classes: Pharmaceuticals and Agrochemicals; Wiley: Weinheim, Germany, 2016; pp. 371–384. [Google Scholar]
  3. Walter, H. Fungicidal succinate-dehydrogenase-inhibiting carboxamides. In Bioactive Carboxylic Compound Classes: Pharmaceuticals and Agrochemicals; Wiley: Weinheim, Germany, 2016; pp. 405–425. [Google Scholar]
  4. Xiong, L.; Shen, Y.-Q.; Jiang, L.-N.; Zhu, X.-L.; Yang, W.-C.; Huang, W.; Yang, G.-F. Succinate Dehydrogenase: An Ideal Target for Fungicide Discovery. In Discovery and Synthesis of Crop Protection Products; ACS Publications: Washington, DC, USA, 2015; pp. 175–194. ISBN 9780841231023. [Google Scholar]
  5. Bartlett, D.W.; Clough, J.M.; Godwin, J.R.; Hall, A.A.; Hamer, M.; Parr-Dobrzanski, B. The strobilurin fungicides. Pest Manag. Sci. 2002, 58, 649–662. [Google Scholar] [CrossRef]
  6. Musso, L.; Fabbrini, A.; Dallavalle, S. Natural compound-derived cytochrome bc1 complex inhibitors as antifungal agents. Molecules 2020, 25, 4582. [Google Scholar] [CrossRef] [PubMed]
  7. Steinhauer, D.; Salat, M.; Frey, R.; Mosbach, A.; Luksch, T.; Balmer, D.; Hansen, R.; Widdison, S.; Logan, G.; Dietrich, R.A.; et al. A dispensable paralog of succinate dehydrogenase subunit C mediates standing resistance towards a subclass of SDHI fungicides in Zymoseptoria tritici. PLoS Pathog. 2019, 15, e1007780. [Google Scholar] [CrossRef] [PubMed]
  8. FRAC. FRAC List of Plant Pathogenic Organisms Resistant to Disease Control Agents. Available online: https://www.frac.info/docs/default-source/working-groups/sdhi-fungicides/group/list-of-resistant-plant-pathogens_2012-edition.pdf?sfvrsn=ef18469a_2 (accessed on 26 March 2021).
  9. Torriani, S.F.F.; Frey, R.; Buitrago, C.; Wullschleger, J.; Waldner, M.; Kuehn, R.; Scalliet, G.; Sierotzki, H. Succinate-dehydrogenase inhibitor (SDHI) resistance evolution in plant pathogens. In Modern Fungicides and Antifungal Compounds; Deising, H.B., Fraaije, B., Mehl, A., Oerke, E.C., Sierotzki, H., Stammler, G., Eds.; Deutsche Phytomedizinische Gesellschaft: Braunschweig, Germany, 2016; Volume VIII, pp. 89–94. ISBN 978-3-941261-15-0. [Google Scholar]
  10. Fernández-Ortuño, D.; Torés, J.A.; de Vicente, A.; Pérez-García, A. The QoI fungicides, the rise and fall of a successful class of agricultural fungicides. In Fungicides; Carisse, O., Ed.; IntechOpen: London, UK, 2010; pp. 203–220. ISBN 978-953-307-266-1. [Google Scholar]
  11. FRAC. FRAC Reccomendations for QoI Fungicides. Available online: https://www.frac.info/frac-teams/working-groups/qol-fungicides/recommendations-for-qoi (accessed on 16 March 2021).
  12. Asibi, A.E.; Chai, Q.; Coulter, J.A. Rice blast: A disease with implications for global food security. Agronomy 2019, 9, 451. [Google Scholar] [CrossRef] [Green Version]
  13. Nalley, L.; Tsiboe, F.; Durand-Morat, A.; Shew, A.; Thoma, G. Economic and environmental impact of rice blast pathogen (Magnaporthe oryzae) alleviation in the United States. PLoS ONE 2016, 11, e0167295. [Google Scholar] [CrossRef] [PubMed]
  14. Scheuermann, K.K.; Raimondi, J.V.; Marschalek, R.; de Andrade, A.; Wickert, E. Magnaporthe oryzae genetic diversity and its outcomes on the search for durable resistance. In The Molecular Basis of Plant Genetic Diversity; IntechOpen: London, UK, 2012; pp. 331–356. [Google Scholar]
  15. Ishii, H. Rice pathogens in Japan. In Fungicide Resistance in Plant Pathogens; Springer: Tokyo, Japan, 2015; pp. 341–354. [Google Scholar]
  16. Kunova, A.; Cortesi, P. Tricyclazole and azoxystrobin in rice blast management: A review of their activity and pathogen responses. In Fungicides: Classification, Role in Disease Management and Toxicity Effects; Wheeler, M.N., Johnston, B.R., Eds.; Nova Science Publishers, Inc.: New York, NY, USA, 2013; pp. 39–66. ISBN 978-1-62948-045-9. [Google Scholar]
  17. Fitogest® Image Line Fitogest®. Available online: https://fitogest.imagelinenetwork.com/it/ (accessed on 6 November 2020).
  18. Zuccolo, M.; Kunova, A.; Musso, L.; Forlani, F.; Pinto, A.; Vistoli, G.; Gervasoni, S.; Cortesi, P.; Dallavalle, S. Dual-active antifungal agents containing strobilurin and SDHI-based pharmacophores. Sci. Rep. 2019, 9, 11377. [Google Scholar] [CrossRef] [PubMed]
  19. Suemoto, H.; Matsuzaki, Y.; Iwahashi, F. Metyltetraprole, a novel putative complex III inhibitor, targets known QoI-resistant strains of Zymoseptoria tritici and Pyrenophora teres. Pest Manag. Sci. 2019, 75, 1181–1189. [Google Scholar] [CrossRef] [Green Version]
  20. Matsuzaki, Y.; Yoshimoto, Y.; Arimori, S.; Kiguchi, S.; Harada, T.; Iwahashi, F. Discovery of metyltetraprole: Identification of tetrazolinone pharmacophore to overcome QoI resistance. Bioorg. Med. Chem. 2020, 28, 115211. [Google Scholar] [CrossRef]
  21. Esser, L.; Quinn, B.; Li, Y.-F.; Zhang, M.; Elberry, M.; Yu, L.; Yu, C.-A.; Xia, D. Crystallographic studies of quinol oxidation site inhibitors: A modified classification of inhibitors for the cytochrome bc 1 complex. J. Mol. Biol. 2004, 341, 281–302. [Google Scholar] [CrossRef]
  22. Palsdottir, H.; Lojero, C.G.; Trumpower, B.L.; Hunte, C. Structure of the yeast cytochrome bc1 complex with a hydroxyquinone anion Qo site inhibitor bound. J. Biol. Chem. 2003, 278, 31303–31311. [Google Scholar] [CrossRef] [Green Version]
  23. Kim, E.M.; Jung, C.K.; Choi, E.Y.; Gao, C.; Kim, S.W.; Lee, S.H.; Kwon, O.P. Highly conductive polyaniline copolymers with dual-functional hydrophilic dioxyethylene side chains. Polymer 2011, 52, 4451–4455. [Google Scholar] [CrossRef]
  24. Huang, R.; Li, Z.; Ren, P.; Chen, W.; Kuang, Y.; Chen, J.; Zhan, Y.; Chen, H.; Jiang, B. N- Phenyl- N- aceto-vinylsulfonamides as efficient and chemoselective handles for N-terminal modification of peptides and proteins. Eur. J. Org. Chem. 2018, 2018, 829–836. [Google Scholar] [CrossRef]
  25. Zhou, X.; Wang, Q.; Zhao, W.; Xu, S.; Zhang, W.; Chen, J. Palladium-catalyzed ortho-arylation of benzoic acid derivatives via C-H bond activation using an aminoacetic acid bidentate directing group. Tetrahedron Lett. 2015, 56, 851–855. [Google Scholar] [CrossRef]
  26. Crestey, F.; Frederiksen, K.; Jensen, H.S.; Dekermendjian, K.; Larsen, P.H.; Bastlund, J.F.; Lu, D.; Liu, H.; Yang, C.R.; Grunnet, M.; et al. Identification and electrophysiological evaluation of 2-methylbenzamide derivatives as Nav1.1 modulators. ACS Chem. Neurosci. 2015, 6, 1302–1308. [Google Scholar] [CrossRef] [PubMed]
  27. Baramov, T.; Schmid, B.; Ryu, H.; Jeong, J.; Keijzer, K.; von Eckardstein, L.; Baik, M.; Süssmuth, R.D. How many O-donor groups in enterobactin does it take to bind a metal cation? Chem. Eur. J. 2019, 25, 6955–6962. [Google Scholar] [CrossRef]
  28. Vilaivan, T. A rate enhancement of tert-butoxycarbonylation of aromatic amines with Boc2O in alcoholic solvents. Tetrahedron Lett. 2006, 47, 6739–6742. [Google Scholar] [CrossRef]
  29. Kunova, A.; Pizzatti, C.; Cortesi, P. Impact of tricyclazole and azoxystrobin on growth, sporulation and secondary infection of the rice blast fungus, Magnaporthe oryzae. Pest Manag. Sci. 2013, 69, 278–284. [Google Scholar] [CrossRef]
  30. Kunova, A.; Pizzatti, C.; Bonaldi, M.; Cortesi, P. Sensitivity of nonexposed and exposed populations of Magnaporthe oryzae from rice to tricyclazole and azoxystrobin. Plant Dis. 2014, 98, 512–518. [Google Scholar] [CrossRef] [Green Version]
  31. Ye, Y.-H.; Ma, L.; Dai, Z.-C.; Xiao, Y.; Zhang, Y.-Y.; Li, D.-D.; Wang, J.-X.; Zhu, H.-L. Synthesis and antifungal activity of nicotinamide derivatives as succinate dehydrogenase inhibitors. J. Agric. Food Chem. 2014, 62, 4063–4071. [Google Scholar] [CrossRef]
  32. Zhu, X.; Wang, F.; Li, H.; Yang, W.; Chen, Q.; Yang, G. Design, synthesis, and bioevaluation of novel strobilurin derivatives. Chin. J. Chem. 2012, 30, 1999–2008. [Google Scholar] [CrossRef]
  33. R Core Team. R: A Language and Environment for Statistical Computing; R Core Team, The R Foundation for Statistical Computing: Vienna, Austria, 2020. [Google Scholar]
  34. Faria, J.C.; Jelihovschi, E.G.; Allaman, I.B. Conventional Tukey Test; UESC: Ilheus, Brasil, 2020. [Google Scholar]
  35. Schrödinger Release 2020-3; BioLuminate, Schrödinger, LLC: New York, NY, USA, 2020.
  36. Harder, E.; Damm, W.; Maple, J.; Wu, C.; Reboul, M.; Xiang, J.Y.; Wang, L.; Lupyan, D.; Dahlgren, M.K.; Knight, J.L.; et al. OPLS3: A force field providing broad coverage of drug-like small molecules and proteins. J. Chem. Theory Comput. 2016, 12, 281–296. [Google Scholar] [CrossRef] [PubMed]
  37. Schrödinger Release 2020-3; Schrödinger, LLC: New York, NY, USA, 2020.
  38. Friesner, R.A.; Banks, J.L.; Murphy, R.B.; Halgren, T.A.; Klicic, J.J.; Mainz, D.T.; Repasky, M.P.; Knoll, E.H.; Shelley, M.; Perry, J.K.; et al. Glide: A new approach for rapid, accurate docking and scoring. 1. Method and assessment of docking accuracy. J. Med. Chem. 2004, 47, 1739–1749. [Google Scholar] [CrossRef]
  39. Halgren, T.A.; Murphy, R.B.; Friesner, R.A.; Beard, H.S.; Frye, L.L.; Pollard, W.T.; Banks, J.L. Glide: A new approach for rapid, accurate docking and scoring. 2. Enrichment factors in database screening. J. Med. Chem. 2004, 47, 1750–1759. [Google Scholar] [CrossRef]
  40. Friesner, R.A.; Murphy, R.B.; Repasky, M.P.; Frye, L.L.; Greenwood, J.R.; Halgren, T.A.; Sanschagrin, P.C.; Mainz, D.T. Extra precision glide: Docking and scoring incorporating a model of hydrophobic enclosure for protein-ligand complexes. J. Med. Chem. 2006, 49, 6177–6196. [Google Scholar] [CrossRef] [Green Version]
  41. Li, J.; Abel, R.; Zhu, K.; Cao, Y.; Zhao, S.; Friesner, R.A. The VSGB 2.0 model: A next generation energy model for high resolution protein structure modeling. Proteins Struct. Funct. Bioinform. 2011, 79, 2794–2812. [Google Scholar] [CrossRef] [Green Version]
  42. Eberini, I.; Rocco, A.G.; Mantegazza, M.; Gianazza, E.; Baroni, A.; Vilardo, M.C.; Donghi, D.; Galliano, M.; Beringhelli, T. Computational and experimental approaches assess the interactions between bovine β-lactoglobulin and synthetic compounds of pharmacological interest. J. Mol. Graph. Model. 2008, 26, 1004–1013. [Google Scholar] [CrossRef]
  43. Beard, H.; Cholleti, A.; Pearlman, D.; Sherman, W.; Loving, K.A. Applying physics-based scoring to calculate free energies of binding for single amino acid mutations in protein-protein complexes. PLoS ONE 2013, 8, e82849. [Google Scholar] [CrossRef] [Green Version]
Figure 1. First generation of dual compounds 1a–c [18], commercial strobilurins (2), and succinate dehydrogenase inhibitors (SDHIs) (36), chosen as templates.
Figure 1. First generation of dual compounds 1a–c [18], commercial strobilurins (2), and succinate dehydrogenase inhibitors (SDHIs) (36), chosen as templates.
Ijms 22 03731 g001
Figure 2. Design strategy to optimize the structure of compound 1a to obtain new dual SDHI-QoI (715).
Figure 2. Design strategy to optimize the structure of compound 1a to obtain new dual SDHI-QoI (715).
Ijms 22 03731 g002
Scheme 1. Synthesis of compounds 7–8. Reagents and conditions: (a) K2CO3, (E)-methyl 2-(2-(bromomethyl)phenyl)-3-methoxyacrylate, 18-crown-6, acetone, 3 h, reflux, 23% for 17, and 64% for 20; (b) TFA, CH2Cl2, 3 h, 0 °C, 98% for 18, and 95% for 21; (c) 2-methylbenzoic acid, EDC·HCl, HOBt, DIPEA, CH2Cl2, 24 h, rt, 35% for 7, and 64% for 8.
Scheme 1. Synthesis of compounds 7–8. Reagents and conditions: (a) K2CO3, (E)-methyl 2-(2-(bromomethyl)phenyl)-3-methoxyacrylate, 18-crown-6, acetone, 3 h, reflux, 23% for 17, and 64% for 20; (b) TFA, CH2Cl2, 3 h, 0 °C, 98% for 18, and 95% for 21; (c) 2-methylbenzoic acid, EDC·HCl, HOBt, DIPEA, CH2Cl2, 24 h, rt, 35% for 7, and 64% for 8.
Ijms 22 03731 sch001
Scheme 2. Synthesis of compounds 9–13. Reagents and conditions: (a) 3-methylbenzoic acid, EDC·HCl, HOBt, DIPEA, CH2Cl2, 0 °C to rt 84%; (b) 4-methylbenzoic acid, EDC·HCl, HOBt, DIPEA, CH2Cl2, 0°C to rt 82%; (c) for 11a: 2-methoxybenzoic acid, EDC·HCl, HOBt, DIPEA, CH2Cl2, 0 °C to rt, 64%; for 11b: 2-acetamidobenzoic acid, EDC·HCl, HOBt, DIPEA, CH2Cl2, 0 °C to rt; 59%; for 11c: 2-iodobenzoic acid, EDC·HCl, HOBt, DIPEA, CH2Cl2, 0 °C to rt, 86%, for 11d: 2-benzyloxybenzoic acid, EDC·HCl, HOBt, DIPEA, CH2Cl2, 0 °C to rt, 71%, for 11f: 2-tert-butoxycarbomylaminobenzoic acid, EDC·HCl, HOBt, DIPEA, CH2Cl2, 0 °C to rt, 41%; (d) 3-methylthiophene-2-carboxylic acid, EDC·HCl, HOBt, DIPEA, CH2Cl2, 0 °C to rt, 62%; (e) 3-(difluoromethyl)-1-methyl-1H-pyrazole-4-carboxylic acid, EDC·HCl, HOBt, DIPEA, CH2Cl2, 0 °C to rt, 57%; (f) 10% Pd/C, H2, ethyl acetate, rt, overnight, 91%; (g) TFA, CH2Cl2, 2 h, rt, 52%.
Scheme 2. Synthesis of compounds 9–13. Reagents and conditions: (a) 3-methylbenzoic acid, EDC·HCl, HOBt, DIPEA, CH2Cl2, 0 °C to rt 84%; (b) 4-methylbenzoic acid, EDC·HCl, HOBt, DIPEA, CH2Cl2, 0°C to rt 82%; (c) for 11a: 2-methoxybenzoic acid, EDC·HCl, HOBt, DIPEA, CH2Cl2, 0 °C to rt, 64%; for 11b: 2-acetamidobenzoic acid, EDC·HCl, HOBt, DIPEA, CH2Cl2, 0 °C to rt; 59%; for 11c: 2-iodobenzoic acid, EDC·HCl, HOBt, DIPEA, CH2Cl2, 0 °C to rt, 86%, for 11d: 2-benzyloxybenzoic acid, EDC·HCl, HOBt, DIPEA, CH2Cl2, 0 °C to rt, 71%, for 11f: 2-tert-butoxycarbomylaminobenzoic acid, EDC·HCl, HOBt, DIPEA, CH2Cl2, 0 °C to rt, 41%; (d) 3-methylthiophene-2-carboxylic acid, EDC·HCl, HOBt, DIPEA, CH2Cl2, 0 °C to rt, 62%; (e) 3-(difluoromethyl)-1-methyl-1H-pyrazole-4-carboxylic acid, EDC·HCl, HOBt, DIPEA, CH2Cl2, 0 °C to rt, 57%; (f) 10% Pd/C, H2, ethyl acetate, rt, overnight, 91%; (g) TFA, CH2Cl2, 2 h, rt, 52%.
Ijms 22 03731 sch002
Scheme 3. Synthesis of compounds 14–15. Reagents and conditions: (a) (COCl)2, CH2Cl2, DMF, 0 °C, rt, 63%; (b) for 24a: glycine, 2M NaOH, 8 h, rt, 19%; for 24b: β-alanine, 2M NaOH, overnight, rt, 24%; for 24c: GABA, 2M NaOH, 2 h at 0 °C then overnight at rt, 41%; (c) i. EDC·HCl, HOBt, CH2Cl2, 30′ at 0 °C; ii. 22, DIPEA, CH2Cl2, at 0 °C then overnight at rt, for 14a: 18%, for 14b: 49%, for 14c: 33%; (d) 3-aminobenzoic acid, TEA, CHCl3, 51%; (e) i. EDC·HCl, HOBt, CH2Cl2, 30′ at 0 °C; ii. 22, DIPEA, CH2Cl2, at 0 °C then overnight at rt, 33%.
Scheme 3. Synthesis of compounds 14–15. Reagents and conditions: (a) (COCl)2, CH2Cl2, DMF, 0 °C, rt, 63%; (b) for 24a: glycine, 2M NaOH, 8 h, rt, 19%; for 24b: β-alanine, 2M NaOH, overnight, rt, 24%; for 24c: GABA, 2M NaOH, 2 h at 0 °C then overnight at rt, 41%; (c) i. EDC·HCl, HOBt, CH2Cl2, 30′ at 0 °C; ii. 22, DIPEA, CH2Cl2, at 0 °C then overnight at rt, for 14a: 18%, for 14b: 49%, for 14c: 33%; (d) 3-aminobenzoic acid, TEA, CHCl3, 51%; (e) i. EDC·HCl, HOBt, CH2Cl2, 30′ at 0 °C; ii. 22, DIPEA, CH2Cl2, at 0 °C then overnight at rt, 33%.
Ijms 22 03731 sch003
Figure 3. Mycelium growth of wild-type (WT) and QoI-resistant (RES) Pyricularia oryzae strains on control malt-extract agar media (C = control, ACT = 1% acetone) and media supplemented with azoxystrobin (AZX), fluxapyroxad (FXP), or dual compounds (Cpds 1a, 7–15) at a concentration of 25 mg/L. Error bars represent the standard deviation of the mean.
Figure 3. Mycelium growth of wild-type (WT) and QoI-resistant (RES) Pyricularia oryzae strains on control malt-extract agar media (C = control, ACT = 1% acetone) and media supplemented with azoxystrobin (AZX), fluxapyroxad (FXP), or dual compounds (Cpds 1a, 7–15) at a concentration of 25 mg/L. Error bars represent the standard deviation of the mean.
Ijms 22 03731 g003
Figure 4. Effect of compound 11b on the P. oryzae mitochondrial SDH activity. To evaluate the percent of inhibition due to the SDHI action, the rates of the succinate:2,3-dimethoxy-5-methyl-p-benzoquinone dehydrogenase activity of the mitochondrial fraction were measured at 25 °C (λ = 595 nm) using DCPIP in the presence of 11b and the reference compound, fluxapyroxad (FXP), at the indicated concentrations. Data represent the mean ± standard deviation of at least three independent trials. Different superscript letters indicate statistically significant differences (Tukey HSD, p ≤ 0.01).
Figure 4. Effect of compound 11b on the P. oryzae mitochondrial SDH activity. To evaluate the percent of inhibition due to the SDHI action, the rates of the succinate:2,3-dimethoxy-5-methyl-p-benzoquinone dehydrogenase activity of the mitochondrial fraction were measured at 25 °C (λ = 595 nm) using DCPIP in the presence of 11b and the reference compound, fluxapyroxad (FXP), at the indicated concentrations. Data represent the mean ± standard deviation of at least three independent trials. Different superscript letters indicate statistically significant differences (Tukey HSD, p ≤ 0.01).
Ijms 22 03731 g004
Figure 5. Ramachandran plot of the three-dimensional model for Pyricularia oryzae cytochrome bc1 complex. Red and yellow regions are respectively favored and allowed regions. Triangles refer to G, squares to P, and dots to the remaining amino acids.
Figure 5. Ramachandran plot of the three-dimensional model for Pyricularia oryzae cytochrome bc1 complex. Red and yellow regions are respectively favored and allowed regions. Triangles refer to G, squares to P, and dots to the remaining amino acids.
Ijms 22 03731 g005
Figure 6. Validation set of marketed strobilurins and metyltetraprole.
Figure 6. Validation set of marketed strobilurins and metyltetraprole.
Ijms 22 03731 g006
Figure 7. Top-scoring docking poses within the cytochrome b binding pocket of the commercial strobilurin fungicides included in the validation set: (A) azoxystrobin, (B) kresoxim-methyl, (C) metyltetraprole, (D) metominostrobin, (E) pyraclostrobin (the second top-scoring pose), and (F) trifloxystrobin. In (G), all validation set poses are reported to highlight their binding mode and the interaction with GLU273.
Figure 7. Top-scoring docking poses within the cytochrome b binding pocket of the commercial strobilurin fungicides included in the validation set: (A) azoxystrobin, (B) kresoxim-methyl, (C) metyltetraprole, (D) metominostrobin, (E) pyraclostrobin (the second top-scoring pose), and (F) trifloxystrobin. In (G), all validation set poses are reported to highlight their binding mode and the interaction with GLU273.
Ijms 22 03731 g007
Figure 8. Top-scoring docking poses for compounds (A) 10, (B) 11a, (C) 11b, (D) 11e, and (E) 13. In (F), the top-scoring docking poses for all the tested compounds are reported.
Figure 8. Top-scoring docking poses for compounds (A) 10, (B) 11a, (C) 11b, (D) 11e, and (E) 13. In (F), the top-scoring docking poses for all the tested compounds are reported.
Ijms 22 03731 g008
Figure 9. Ligand interaction diagram for (A) azoxystrobin, (B) metyltetraprole, and (C) compound 11b. H-bond between the carbonyl function of the ester group and Glu273 is pointed out by the purple arrow, and π-π stacking between the distal aromatic ring and Phe129 is pointed out by green line.
Figure 9. Ligand interaction diagram for (A) azoxystrobin, (B) metyltetraprole, and (C) compound 11b. H-bond between the carbonyl function of the ester group and Glu273 is pointed out by the purple arrow, and π-π stacking between the distal aromatic ring and Phe129 is pointed out by green line.
Ijms 22 03731 g009
Table 1. Inhibition of mycelium growth of wild-type (WT) and QoI-resistant (RES) Pyricularia oryzae (Scheme 1), acetone (ACT), and media supplemented with azoxystrobin (AZX), fluxapyroxad (FXP), or dual compounds (Cpds 1a, 7–15) at a concentration of 25 mg/L.
Table 1. Inhibition of mycelium growth of wild-type (WT) and QoI-resistant (RES) Pyricularia oryzae (Scheme 1), acetone (ACT), and media supplemented with azoxystrobin (AZX), fluxapyroxad (FXP), or dual compounds (Cpds 1a, 7–15) at a concentration of 25 mg/L.
WTRES
Compound% Inhibition aTukey HSD b% InhibitionTukey HSD
Control0a0a
ACT0a−4a
AZX92m47c
FXP67f h i94d
1a72h i j20b
725b c26b
867f g h i26b
963e f g h28b
1078j k l52c
11a79i j k l30b
11b83k l84d
11c71h i j35b
11d58e f g23b
11e84k l m50c
11f58e f23b
11g55e27b
1273h i j k22b
1387l m57c
14a42d15b
14b38d20b
14c18b15b
1531c d21b
a Inhibition (%) was calculated as I% = (C − T)/C*100, where C = is growth on control medium, and T = is growth on treated medium. b Tukey post hoc test of mycelium growth data. The different letters indicate statistically significant differences between mean growth (p > 0.05).
Table 2. Top-scoring docking solutions for all chemicals in the validation set. a Glide XP Score indicates the approx. binding affinity (kcal/mol) of the top-scoring binding pose. b MM-GBSA indicates a more accurate binding affinity (kcal/mol) of the top-scoring binding pose. c Number of poses for each compound obtained by the molecular docking procedure. d Range of the binding affinities (kcal/mol) for each tested chemical of the validation set. e Number of generated poses with an orientation similar to azoxystrobin (as transferred from the template) for each tested compound of the validation set.
Table 2. Top-scoring docking solutions for all chemicals in the validation set. a Glide XP Score indicates the approx. binding affinity (kcal/mol) of the top-scoring binding pose. b MM-GBSA indicates a more accurate binding affinity (kcal/mol) of the top-scoring binding pose. c Number of poses for each compound obtained by the molecular docking procedure. d Range of the binding affinities (kcal/mol) for each tested chemical of the validation set. e Number of generated poses with an orientation similar to azoxystrobin (as transferred from the template) for each tested compound of the validation set.
LigandGlide XP a [kcal/mol]MM-GBSA b [kcal/mol]Number of Poses cRange d [kcal/mol]Orientation of the Generated Poses e
azoxystrobin−10.6−76.45(−10.6; −9.4)5/5
trifloxystrobin−9.8−65.62(−9.8; −9.7)2/2
kresoxym-methyl−10.4−68.91(−10.4)1/1
metominostrobin−9.9−79.31(−9.9)1/1
pyraclostrobin−8.4−61.75(−10.0; −5.7)3/5
metyltetraprole−10.2−62.92(−10.2; −9.8)2/2
Table 3. Top-scoring docking solutions for the selected five novel compounds showing the highest biological activity against Pyricularia oryzae. a Glide XP Score indicates the approx. binding affinity (kcal/mol) of the top-scoring binding poses. b MM-GBSA indicates a more accurate binding affinity (kcal/mol) of the top-scoring binding pose. c Number of poses for each compound obtained by the molecular docking procedure. d Range of the binding affinities (kcal/mol) of individual poses for each tested novel compound. e Number of generated poses with an orientation similar to azoxystrobin (as transferred from the template) for each tested novel compound.
Table 3. Top-scoring docking solutions for the selected five novel compounds showing the highest biological activity against Pyricularia oryzae. a Glide XP Score indicates the approx. binding affinity (kcal/mol) of the top-scoring binding poses. b MM-GBSA indicates a more accurate binding affinity (kcal/mol) of the top-scoring binding pose. c Number of poses for each compound obtained by the molecular docking procedure. d Range of the binding affinities (kcal/mol) of individual poses for each tested novel compound. e Number of generated poses with an orientation similar to azoxystrobin (as transferred from the template) for each tested novel compound.
LigandGlide XP a [kcal/mol]MM-GBSA b [kcal/mol]Number of Poses cRange d [kcal/mol]Orientation of the Generated Poses e
10−11.7−83.93(−11.7; −9.1)3/3
11a−9.1−60.35(−9.1; −7.4)1/5
11b−9.4−59.65(−9.4; −7.4)3/5
11e−12.6−83.35(−12.6; −11.6)5/5
13−12.2−78.72(−12.2; −10.8)2/2
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Kunova, A.; Palazzolo, L.; Forlani, F.; Catinella, G.; Musso, L.; Cortesi, P.; Eberini, I.; Pinto, A.; Dallavalle, S. Structural Investigation and Molecular Modeling Studies of Strobilurin-Based Fungicides Active against the Rice Blast Pathogen Pyricularia oryzae. Int. J. Mol. Sci. 2021, 22, 3731. https://doi.org/10.3390/ijms22073731

AMA Style

Kunova A, Palazzolo L, Forlani F, Catinella G, Musso L, Cortesi P, Eberini I, Pinto A, Dallavalle S. Structural Investigation and Molecular Modeling Studies of Strobilurin-Based Fungicides Active against the Rice Blast Pathogen Pyricularia oryzae. International Journal of Molecular Sciences. 2021; 22(7):3731. https://doi.org/10.3390/ijms22073731

Chicago/Turabian Style

Kunova, Andrea, Luca Palazzolo, Fabio Forlani, Giorgia Catinella, Loana Musso, Paolo Cortesi, Ivano Eberini, Andrea Pinto, and Sabrina Dallavalle. 2021. "Structural Investigation and Molecular Modeling Studies of Strobilurin-Based Fungicides Active against the Rice Blast Pathogen Pyricularia oryzae" International Journal of Molecular Sciences 22, no. 7: 3731. https://doi.org/10.3390/ijms22073731

APA Style

Kunova, A., Palazzolo, L., Forlani, F., Catinella, G., Musso, L., Cortesi, P., Eberini, I., Pinto, A., & Dallavalle, S. (2021). Structural Investigation and Molecular Modeling Studies of Strobilurin-Based Fungicides Active against the Rice Blast Pathogen Pyricularia oryzae. International Journal of Molecular Sciences, 22(7), 3731. https://doi.org/10.3390/ijms22073731

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop