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Article

Effects of Apigenin and Luteolin on Myzus persicae (Hemiptera: Aphididae) Probing Behavior

1
Department of Botany and Ecology, University of Zielona Góra, Szafrana 1, 65-516 Zielona Góra, Poland
2
Department of Entomology, Phytopathology and Molecular Diagnostics, University of Warmia and Mazury in Olsztyn, Prawocheńskiego 17, 10-720 Olsztyn, Poland
3
Department of Mathematical and Statistical Methods, Poznań University of Life Sciences, Wojska Polskiego 28, 60-637 Poznań, Poland
*
Author to whom correspondence should be addressed.
Int. J. Mol. Sci. 2025, 26(9), 4452; https://doi.org/10.3390/ijms26094452
Submission received: 9 February 2025 / Revised: 23 April 2025 / Accepted: 3 May 2025 / Published: 7 May 2025
(This article belongs to the Special Issue Insect–Plant Interactions: From Genes to Biochemical Elements)

Abstract

:
Apigenin and luteolin are products of the phenylpropanoid pathway, where apigenin serves as a substrate for the synthesis of luteolin. Apigenin and luteolin are highly bioactive flavones; therefore, in search of prospective biopesticides, the receptiveness of the polyphagous green peach aphid Myzus persicae (Sulzer) (Hemiptera: Aphididae) to apigenin and luteolin was studied. The flavones were applied as 0.1% ethanolic solutions to the host plant leaf surface, and aphid probing and feeding activities were monitored using the Electrical Penetration Graph (EPG) technique. The structural difference between apigenin and luteolin, which was the number of hydroxyl groups in the molecule, had an impact on the activity of these flavones. On apigenin-treated plants, the duration of the first probe was three times as short as on the control and five times as short as on the luteolin-treated plants; the duration of the time to the first ingestion phase within the successful probe was shorter than on the control and luteolin-treated plants; the mean duration of xylem sap ingestion bouts and the proportion of xylem phase in all probing activities were the highest; and the duration of salivation before phloem sap ingestion was the longest. Aphids’ response to luteolin-treated plants was less distinct as compared to apigenin-treated plants.

1. Introduction

Apigenin (4′,5,7,-trihydroxyflavone) and luteolin (3′,4′,5,7-tetrahydroxyflavone) (Figure 1) are structurally related natural plant polyphenolic secondary metabolites assigned to the flavone subgroup of flavonoids [1,2].
Flavones, like all flavonoids, are omnipresent in the plant kingdom and can be found in different plant tissues [3,4,5,6]. Flavones, in particular, are an ancient class of plant secondary metabolites: the ability to biosynthesize flavones coincided with the initial colonization of the terrestrial environment by plants [5]. The crucial role of flavones and other flavonoids in plant survival on land is associated with their primary functions as UV protectants and signaling molecules in interactions with other organisms, mainly bacteria and fungi [5]. Their present-day ecological roles also include the participation in plant responses to various abiotic and biotic stresses, and they are involved in multitrophic relationships and other positive and negative interactions between plants and other organisms [6]. The extensive research on the biological significance of flavones has revealed their exceptionally broad bioactivity, which has made them particularly desirable as antioxidant, anti-inflammatory, antitumor, antigenotoxic, antiallergic, neuroprotective, cardioprotective, and antimicrobial agents for application in human medicine [1,2,7].
The involvement of flavones and other flavonoids in the intrinsic mechanisms of plant resistance to pathogens, herbivores, and environmental stresses has led to a growing interest in these allelochemicals for applications in sustainable crop protection practices [5,8,9,10,11,12,13,14,15]. Various ideas have been considered, including the direct application of these compounds as attractants, stimulants, repellents, deterrents, and less-toxic insecticides [13]; indirect application by using agricultural wastes as the flavonoids’ source material [14]; and using flavonoid-releasing plants in “push–pull” systems [15,16]. Flavonoids exuded into the rhizosphere have allelopathic activity [6,10,17] and may prevent infestation by parasitic plants [15,16] and infection by pathogenic fungi [18,19], and they affect the host location of subterranean insects [20]. However, the best-known and best-explored use is the role of flavonoids in plant resistance mechanisms against herbivores in general and phytophagous insects in particular [8]. The breeding, either conventional or through genetic engineering, of herbivore-resistant plant varieties and cultivars is one of the most promising methods of potential sustainable pest management approaches [20,21,22,23,24,25,26]. Therefore, knowledge of individual herbivore species’ strategies for host plant location, recognition, and acceptance is crucial for choosing the correct pest control procedure [27,28].
Insect herbivores exploit plants in a multitude of ways, which determine their dietary specializations [29,30]. Briefly, they differ in the breadth of the host plants’ ranges and in the mode of feeding. In these respects, they can be roughly divided into specialist (mono- and oligophagous) and generalist (polyphagous) herbivores and, on the other hand, depending on their mouthparts’ structure, into chewing–biting and piercing–sucking herbivores [30,31]. The combination of food source preferences and mode of feeding determines the insect herbivore strategy for host plant selection and recognition. In this process, phytophagous insects depend mainly on chemical cues generated by both volatile and non-volatile plant allelochemicals [32]. While volatile cues are used mainly to locate the potential host in biodiverse habitats, non-volatile cues are used at the final stages of host selection, which conclude in either the acceptance or the rejection of the plant source [30,31,32,33,34]. Following the host location in the sequence of events, contact chemoreception is essential for gathering information on the identity and quality of a host plant [28,32]. Chewing–piercing insects are able to recognize their host plants prior to consumption using the external gustatory receptors on their mouthparts, but piercing–sucking insects need to ingest samples of the plant material for gustatory purposes, as their gustatory receptors are located in the cibarium [35].
Aphids (Hemiptera: Aphididae) represent a group of piercing–sucking insect herbivores. The specific mechanism of host plant selection and recognition, i.e., the inevitability of piercing plant tissues and ingesting plant sap for gustatory and nutritional purposes, makes these insects very efficient vectors for plant viruses [36]. It is believed that the indirect damage caused by aphids due to virus transmission exceeds their direct impact on crops [37]. Among aphid plant pests, the green peach aphid, Myzus persicae (Sulzer), has an exceptional position: it is extremely polyphagous—its host plant range embraces more than 400 species of 50 plant families, and it is able to transmit more than 100 plant viruses, both persistent and non-persistent [38,39]. In addition, M. persicae has evolved diverse mechanisms of resistance to various insecticides [40,41]. Since a global trend in reducing insecticide use has been observed in response to environmental issues, there is a growing demand for the replacement of traditional insecticides, at least in part, by natural product-based insect control agents and/or the introduction of cultivars resistant to aphid infestation [42]. These two optional or complementary approaches involve the use of allelochemicals that may alter the behavior of aphids at various stages of the host plant selection process, essentially at the plant recognition and acceptance phases [42,43,44,45,46].
Flavonoids in general and flavones in particular have great insect-behavior-modifying potential [11,12,13,47,48]. The effects of flavones and other flavonoids on aphid plant selection behavior and plant susceptibility to aphid infestation have been thoroughly studied in recent years. The reported results have demonstrated a significant specificity of flavonoid compound activity toward individual aphid species. As an illustration, quercetin promotes the probing activities of the pea aphid, Acyrthosiphon pisum (Harris), within non-phloem and phloem tissues and accelerates access to the phloem in M. persicae but has no effect on the probing behavior of the bird cherry-oat aphid, Rhopalosiphum padi (L.) [49]; rutin causes a delay in A. pisum’s ability to reach sieve elements, deters the probing activities of M. persicae within non-phloem tissues and does not affect R. padi [49]; in A. pisum, daidzein causes a delay in reaching phloem vessels and limits sap ingestion, kaempferol causes a reduction in the frequency and duration of the phloem phase, and genistein does not affect aphid probing behavior [50]; hesperidin affects the pre-phloem probing phase in A. pisum and the ingestion phase in R. padi and does not affect M. persicae [51]; naringenin and quercetin have no direct effect on diet ingestion in A. pisum [52] but enhance sap ingestion in M. persicae [53]. These sample results [49,50,51,52,53] exemplify the very well-known fact that the biological activities of compounds depend on their structural characteristics [53,54,55,56,57].
The present study focused on two structurally related flavonols, apigenin and luteolin. In plant biosynthetic pathways, apigenin is a product of the phenylpropanoid pathway and serves as a substrate for the synthesis of luteolin thanks to the action of flavonoid 3′-hydroxylase [1,2,56,57,58,59]. Both apigenin and luteolin are flavonoids with diverse biomedical activities, including antibacterial, anti-inflammatory, anti-cancer, anti-diabetic, and cardioprotective activities [1,2,58,59]. The involvement of apigenin and luteolin in inter-organismal/interspecies relationships is also known. In particular, apigenin is toxic to the Formosan subterranean termite, Coptotermes formosanus Shiraki (Isoptera: Rhinotermitidae), and to the larvae of Culex quinquefasciatus Say (Diptera: Culicidae) [60,61]; shows antifeedant activity toward adult striped flea beetles, Phyllotreta striolata Fabricius (Coleoptera: Chrysomelidae) [62]; and negatively affects metabolism in predatory fish Channa punctata (Bloch) (Anabantiformes: Channidae) [63]. Luteolin negatively affects the development of Spodoptera exigua (Hübner) larvae (Lepidoptera: Noctuidae) [64]; stimulates the feeding of leaf beetles, Chrysomela vigintipunctata (Scopoli) (Coleoptera: Chrysomelidae) and Plagiodera versicolora Laicharting (Coleoptera: Chrysomelidae) [65]; and contributes to the antibiotic resistance of centipedegrass Eremochloa ophiuroides (Munro) Hack (Poaceae) to the larvae of the fall armyworm, Spodoptera frugiperda (J.E. Smith) (Lepidoptera: Noctuidae) [66].
In search of prospective biopesticides, the receptiveness of aphids to apigenin and luteolin in their diet has also been explored. Studies have involved the development and probing behavior of A. pisum [50,67,68] and the black bean aphid, Aphis fabae Scopoli (Hemiptera: Aphididae) [69]. There are certain unfocused reports that apigenin and luteolin may reduce plant acceptability in M. persicae [70], but no precise research exists on the direct impact of the two flavones on this highly polyphagous and globally important [71] pest aphid.
The aim of the present study was to evaluate the probing and feeding deterrent potential of apigenin and luteolin against M. persicae. We applied apigenin and luteolin as 0.1% ethanolic solutions to the host plant leaf surface and monitored aphid probing and feeding activities on treated and untreated plants using the Electrical Penetration Graph (EPG) technique. EPG is the only research technique that visualizes aphid stylet movements and related activities within plant tissues, which are otherwise unavailable for direct observation [72,73]. EPG is commonly applied in studies on Hemiptera–plant relationships [67,68,69,72,73].
We hypothesized that (i) apigenin and luteolin impair green peach aphid activities in non-vascular and vascular tissues, and (ii) structural differences between the two chemically related flavones affect their impact on the behavior of M. persicae.

2. Results

The probing activity of Myzus persicae on untreated and apigenin- and luteolin-treated Brassica rapa ssp. Pekinensis was monitored for 8 h continuously. Each of the three treatments was replicated 20 times, and the success rate, i.e., the number of complete 8 h EPG recordings suitable for analysis, was high for all plants: 85%, 95%, and 80%, respectively, for untreated and apigenin- and luteolin-treated plants (Table 1, Table 2, Tables S1 and S2; all the traits had a normal distribution). On all plants, M. persicae showed various probing activities that embraced stylet penetration within the epidermis and mesophyll (consisting of typical stylet movements in the apoplast with short intracellular punctures represented by pathway waveform “C” and, sporadically, misguided stylet movements in the apoplast caused by their “derailment”, labeled waveform “F”), xylem vessels (i.e., xylem sap ingestion, “G”), and sieve elements (comprising salivation, “E1”, and phloem sap ingestion, “E2”) (Figure 2).
The no-probing activities, i.e., when aphids kept their stylets withdrawn from plant tissues, occupied a similar proportion of the complete experimental time, i.e., 12.5%, 13.1%, and 11.3%, on untreated and apigenin- and luteolin-treated plants, respectively, despite individual variation in behavior between aphids within each treatment (Table 1 and Table S1; Figure 3a,c,e). Correspondingly, the proportions of probing activities spent on pathway (“C”) and phloem activities (“E”) were comparable between the treatments and amounted to, respectively, from 46% of the total probing time on luteolin-treated plants to 53 % on apigenin-treated plants (pathway) and from 42% on apigenin-treated plants to 48 % (phloem sap ingestion) on luteolin-treated plants. Likewise, the frequency and duration of derailed stylet activities in the apoplast (“F”) were similar in all treatments (Table 1 and Table S1). Significant differences occurred in the average duration of xylem sap ingestion, “G”: the longest ingestion periods and the highest proportion of probing time spent on “G” activity occurred in aphids on apigenin-treated plants. The duration of individual bouts of watery salivation, “E1”, preceding the first bout of sustained phloem sap ingestion (“E2 > 10 min”) differed significantly between treatments: the longest “E1” occurred in aphids on apigenin-treated plants (Table 1 and Table S1).
The sequence of aphid activities during the 8 h monitoring period started with the onset of stylet penetration in the epidermis and mesophyll (pathway activities) that followed the initial no probing at the start of the experiment. On control and flavone-treated plants, M. persicae began probing within 1–3 min after gaining access to the plants, i.e., after the individual aphids were put on plant leaves to start the EPG recording (Table 2 and Table S2). However, the duration of the first probe was significantly shorter for aphids on apigenin-treated plants as compared to aphids on control and luteolin-treated plants. Nevertheless, the proportion of no-probing activities declined rapidly on all plants, during the first hour of the experiment in favor of pathway activities that predominated in the course of the second and third hours (Figure 3b,d,f). The first phloem phase occurred approximately 3 h after the first stylet penetration event in plant tissues on all plants, and most of that time was occupied by pathway activity; no probing was marginal (Table 2 and Table S2). On control and luteolin-treated plants, the phloem phase was the main activity beginning with the third hour of the experiment onwards with, respectively, 56% and 63% of all activities at the end of the experiment (Figure 3b,f), while on apigenin-treated plants, the phloem phase occupied 45% of all activities at the experiment termination (Figure 3d).
On control and luteolin-treated plants, 94% of aphids reached the phloem phase, while on apigenin-treated plants – 84% (Figure 4a). The elapsed time between the first probe and the first phloem phase, the first sap ingestion phase, and the first sustained ingestion phase was similar for all plants (Table 2 and Table S2). However, within the successful probe, i.e., the probe that included the first bout of phloem sap ingestion, “E2”, the elapsed time from stylet insertion to the onset of ingestion was significantly shorter on the apigenin-treated plants than on the control plants. The first phloem phase was twice as short, on average, on apigenin-treated plants (Table 2 and Table S2).

3. Discussion

3.1. Effects of Apigenin and Luteolin on Aphid Activities in Non-Vascular and Vascular Tissues

Aphid probing is usually divided into two major phases, probing in non-vascular tissues and probing in vascular tissues, due to the different goals they are to meet. The main destination for aphid stylets is the plant phloem, specifically, the sieve tubes of the phloem, the basic source of nutrients [73,74]. Occasionally, aphids also need to ingest the sap from xylem vessels, principally to minimize the osmotic effects of the consumed phloem sap [75]. To reach the phloem and xylem, which are both vascular tissues embedded within the parenchyma inside plant organs, aphids first need to penetrate the epidermis and then a number of layers of other non-vascular tissues [37,72,73].
Probing within non-vascular tissues, the epidermis and parenchyma (the mesophyll in leaves), involves the penetration of the aphid mouthpart stylets into the apoplast, i.e., within the system of plant cell walls, toward vascular tissues [73]. This activity is mainly the mechanical progressive movement of the stylets, but almost all cells along the stylet pathway are briefly punctured [37,39,73]. These punctures are usually 5–10 s long and include both salivation and ingestion, allowing for the collection of cell content samples used for host recognition [72,73,75]. Probing in non-vascular tissues prior to the first contact with sieve elements is crucial for the acceptance or rejection of a plant: on non-hosts, aphids discontinue probing and withdraw their stylets while still penetrating the mesophyll, and no waveform associated with the phloem phase can be observed in an EPG [76,77]. Similar behavior can be observed in aphids whose host plants are treated with unacceptable xenobiotics: a significant decline in phloem activities can be observed on such plants [78,79,80].
In the present study, the probing behavior of M. persicae in non-vascular plant compartments did not differ significantly between treatments, with only two exceptions: the duration of the first probe and the duration of the time to the first ingestion phase within the successful probe. The first probe on the apigenin-treated plants was three times as short as on the control and five times as short as on the luteolin-treated plants. The initial probes on new plants are usually no longer than three minutes and reflect the punctures of epidermal cells [73]. The withdrawal of stylets by M. persicae from apigenin-treated leaves soon after the insertion can, therefore, be interpreted as a negative response to this flavone, as was observed in other studies on plant suitability to aphids [79,81]. However, the deterrent effect of apigenin observed here seems short-lived, as neither the general probing activity nor the time and success regarding reaching the phloem were affected. Moreover, the time to reach the sieve element sap ingestion phase within the probe on the apigenin-treated plants was shorter than on the control and luteolin-treated plants.
Probing in vascular tissues is devoted to ingestion. The mechanical movements of stylets pause in favor of the passive or active ingestion of phloem or xylem sap, respectively [72,73,75]. In the present study, two aspects of probing in vascular tissues appeared significant in relation to flavone treatment for plants. First, the mean duration of xylem sap ingestion bouts and the proportion of the xylem phase in all probing activities were highest in aphids on apigenin-treated plants. Second, the duration of watery salivation before the first bout of phloem sap ingestion was longer on apigenin-treated plants as compared to the control. As stated earlier, the ingestion of xylem sap is mainly caused by osmotic stress following the consumption of phloem sap with high osmotic potential [75,82]. However, an increase in xylem sap ingestion has also been observed in other situations, for example, in parasitized aphids [83]; aphids on unsuitable or resistant plants [84,85]; and in relation to aphid age, morph, or developmental stage [85,86]. The increased duration of the xylem phase on apigenin-treated plants found in the present study corresponds to the idea that xylem sap ingestion might limit the negative impact of toxins in the phloem sap by diluting them below their noxious concentration [85]. This possible explanation is also consistent with another finding of our study: increased salivation before phloem sap ingestion on apigenin-treated plants. Generally, salivation into sieve elements precedes any bout of sap ingestion and is presumed to reduce or eliminate the effects of plant defense mechanisms that would have prevented uninterrupted ingestion by aphids [72,73,75]. Therefore, the duration of salivation is considered an indicator of natural plant resistance at the level of phloem vessels and the deterrent effects of exogenously applied xenobiotics, which are also perceptible at the phloem level [73,78,85]. However, the present study showed that despite the initial increase in phloem salivation on apigenin-treated plants, phloem sap ingestion by M. persicae was not impeded by any of the flavones applied.
In our previous studies using the same method, we demonstrated that the behavioral response of M. persicae and other polyphagous aphid species to flavonoids administered to host plants is rather poor [50,51,53]. The present research provided new evidence for those findings: apigenin had a very limited effect, and luteolin did not affect the probing behavior of M. persicae in a significant way. We conducted our experiments using Chinese cabbage as the test plant. Interestingly, “flavones-producing plant species belong to more than 70 different families within the plant kingdom”, but “these compounds seem to be absent in almost all of the about 3000 Brassicaceae species, although many other flavonoid-classes are present, especially flavonols” [5]. However, considering the extremely wide spectrum of host plants for M. persicae, reaching far beyond Brassicaceae [38], it is highly probable that the green peach aphid made contact with apigenin and luteolin during coevolutionary processes and developed a high tolerance to these compounds.

3.2. Effects of Apigenin and Luteolin Molecular Structures on Aphid Probing Behavior

The structural differences between apigenin and luteolin refer to the number and positions of hydroxyl groups in the molecule. Apigenin has three hydroxyl groups at positions C-5 and C-7 of the A-ring and C-4′ of the B-ring of the basic flavonoid structure, while luteolin has four hydroxyl groups at positions C-5 and C-7 of the A-ring and C-3′ and C-4′ of the B-ring [1,2].
In the search for feeding deterrents against M. persicae, a number of structure–activity studies have been carried out (e.g., [80,87,88,89]). These studies show that the natural presence or synthetic incorporation of hydroxyl groups into molecules of various natural compounds can strongly affect their activity. Hydroxylactones derived from natural piperitone cause a significant decrease in probing in non-vascular tissues and the duration of phloem sap ingestion in relation to the original compound [78]. On farnesol-treated plants, the total duration of the phloem phase and the mean duration of individual sustained ingestion periods were significantly lower and the proportion of phloem salivation was higher than on control plants; on nerolidol-treated plants, the occurrence of the first phloem phase was delayed, and the frequency of the phloem phase was lower than on control plants. Both farnesol and nerolidol are natural compounds [80]. β-Damascone, a natural terpenoid, appears to be a weak attractant that is close to inactive toward M. persicae, but dihydro-β-damascol is a strong deterrent that significantly increases salivation into sieve elements and reduces phloem sap ingestion [88]. Jasmonate derivatives containing a hydroxy group, especially in correlation with a lactone ring, cause a decrease in the duration of non-probing intervals and an increase in the duration of sap ingestion periods as compared to the natural compound cis-jasmone [90].
In the present study, we determined that the structural difference between apigenin and luteolin, which was the number of hydroxyl groups in the molecule, also had an impact on the activity of these flavones. The mean duration and proportion of xylem sap ingestion in total aphid probing on luteolin-treated plants were lower than on apigenin-treated plants. The duration of salivation into sieve elements preceding the first bout of sustained sap ingestion was shorter on luteolin-treated plants than on apigenin-treated plants. The first probe was longer, and the proportion of phloem sap ingestion activity at the termination of the experiment was higher on luteolin-treated plants than on apigenin-treated plants.

4. Materials and Methods

4.1. Compounds, Insect and Plant Cultures, and Application of Compounds

Apigenin and luteolin were purchased from Sigma–Aldrich (Poznań, Poland).
Aphids (Myzus persicae) (kept as a multiclonal colony) and plants (Chinese cabbage Brassica rapa ssp. pekinensis) were reared in a laboratory at 20 °C, 65% r.h., with a 16:8 (L/D) photoperiod. One- to seven-day-old apterous females of M. persicae and three-week-old plants with 4–5 fully developed leaves were used for experiments. All experiments were carried out under the same temperature, relative humidity, and photoperiod conditions. Bioassays were started at 10–11 a.m. To imitate the natural environment under laboratory conditions, apigenin and luteolin were presented to aphids by treating their host plants. Preparation and application of the compounds followed the procedure described by Polonsky et al. [87], later modified by Gabryś et al. [88]. The compounds were applied to one leaf of an intact plant by immersing it in a 0.1% ethanolic solution of a given compound for 30 sec. Control leaves of similar size were immersed in 70% ethanol, which was used as a solvent for apigenin and luteolin. Treated and control leaves were allowed to dry for 1 h before the start of the experiment to permit the evaporation of the solvent.

4.2. Behavioral Responses of Aphids During Probing and Feeding: Electrical Penetration Graph Technique

Behavioral responses of aphids during probing and feeding were monitored by recording aphid stylet activities in plant tissues using the Electrical Penetration Graph technique. In this experimental setup, the aphids and plants were made parts of an electrical circuit by attaching them to electrodes (aphid electrode: 25–30 mm long ø18 μm golden wire attached to aphid dorsum with water-soluble silver paint; plant electrode: copper wire inserted into the soil). The electrical circuit was completed when the aphid inserted its stylets into the plant. Weak voltage was supplied in the circuit, and all changing electric properties were recorded as EPG waveforms that could be correlated with aphid activities and stylet positions in plant tissues [72]. The values of parameters derived from EPG recordings—e.g., the duration of probing, duration of phloem sap ingestion, and number of probes—reflect the suitability of a food source to aphids [73,74,75,76,81,89]. After the attachment of the golden wire electrode, aphids were starved for 1 h prior to the experiment. Each aphid was given access to a freshly prepared leaf. A Giga-8 DC EPG system with 1 GΩ of input resistance (EPG Systems, Wageningen, The Netherlands) was used to record EPGs. EPGs were recorded using the Stylet+d_2019 software (EPG Systems). The probing behavior of 20 apterous females per studied flavone/aphid combination was monitored for 8 h continuously. Each aphid was given access to a freshly prepared plant leaf of an intact plant. Each plant–aphid set was considered a replication and was tested only once. The number of replications (EPG recordings) for each plant treatment was 20. Recordings that terminated due to an aphid falling from the plant or where the EPG signal was unclear and the total duration of no probing exceeded 75% of the total recording time were discarded from the analysis. Only the replications that included complete 8 h recordings were kept for analysis.

4.3. Identification of EPG Waveforms and Calculation of EPG Variables

Individual EPG waveforms generated by aphids on control and apigenin- and luteolin-treated plants were identified manually using the Stylet+ software (EPG Systems, Wageningen, The Netherlands). The following EPG patterns were distinguished: np (no probing; aphid stylets outside the plant), C (pathway phase; intercellular apoplastic stylet pathway, including some pds), F (the derailed stylet activities), G (xylem sap ingestion), E1 (salivation into sieve elements), and E2 (ingestion of phloem sap). The E1/E2 transition patterns were included in E2. A number of sequential (i.e., describing the sequence of events during the recording) and non-sequential (i.e., referring to frequency and total and average duration of patterns) parameters were calculated and analyzed in configurations related to activities in peripheral and vascular tissues using the MS Excel workbook for automatic calculation [91].

4.4. Statistical Analysis

The normality of the distributions of the studied traits was tested using Shapiro–Wilk’s normality test [92]. The homogeneity of variance was verified using Bartlett’s test. One-way analyses of variance (ANOVA) were carried out to determine the effects of the experimental treatment on the variability of the examined traits for each trait independently. The arithmetic means and standard error of the mean (SEM) of traits were calculated. Tukey’s honest significant differences (HSDs) were estimated at a significance level of α = 0.05, corrected for multiple testing using the Benjamini–Hochberg method. Homogeneous groups for the analyzed traits were determined based on HSD values. All the analyses were conducted using the GenStat 23 statistical software package [93].

Supplementary Materials

The following supporting information can be downloaded at https://www.mdpi.com/article/10.3390/ijms26094452/s1.

Author Contributions

Conceptualization, B.G. and A.W.-K.; methodology, B.G., A.W.-K. and B.K.; validation, B.G., B.K., J.B. and A.W.-K.; investigation, A.W.-K. and K.S.; resources, B.G. and B.K.; data curation, A.W.-K. and K.S.; writing—original draft preparation, A.W.-K. and B.G.; writing—review and editing, B.G. and A.W.-K.; visualization, A.W.-K., J.B. and B.K.; supervision, B.G. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

The data are provided in the present article.

Conflicts of Interest

The authors declare no conflicts of interest.

References

  1. Shankar, E.; Goel, A.; Gupta, K.; Gupta, S. Plant flavone apigenin: An emerging anticancer agent. Curr. Parmacol. Rep. 2017, 3, 423–446. [Google Scholar] [CrossRef] [PubMed]
  2. Bangar, S.P.; Kajla, P.; Chaudhary, V.; Sharma, N.; Ozogul, F. Luteolin: A flavone with myriads of bioactivities and food applications. Food Biosci. 2023, 52, 102366. [Google Scholar]
  3. Valant-Vetschera, K.M.; Wollenweber, E. Flavones and flavonols. In Flavonoids: Chemistry, Biochemistry and Applications; Andersen, O.M., Markham, K.R., Eds.; CRC Press, Taylor Francis Group: Boca Raton, FL, USA, 2006; pp. 617–748. [Google Scholar]
  4. Jiang, N.; Doseff, A.I.; Grotewold, E. Flavones: From biosynthesis to health benefits. Plants 2016, 5, 27. [Google Scholar] [CrossRef] [PubMed]
  5. Martens, S.; Mithöfer, A. Flavones and flavone synthases. Phytochemistry 2005, 66, 2399–2407. [Google Scholar] [CrossRef]
  6. Mierziak, J.; Kostyn, K.; Kulma, A. Flavonoids as Important Molecules of Plant Interactions with the Environment. Molecules 2014, 19, 16240–16265. [Google Scholar] [CrossRef]
  7. Singh, M.; Kaur, M.; Silakari, O. Flavones: An important scaffold for medicinal chemistry. Eur. J. Med. Chem. 2014, 84, 206–239. [Google Scholar] [CrossRef]
  8. Simmonds, M.S.J. Flavonoid–insect interactions: Recent advances in our knowledge. Phytochemistry 2003, 64, 21–30. [Google Scholar] [CrossRef]
  9. Treutter, D. Significance of flavonoids in plant resistance: A review. Environ. Chem. Lett. 2006, 4, 147–157. [Google Scholar] [CrossRef]
  10. Shah, A.; Smith, D.L. Flavonoids in agriculture: Chemistry and roles in, biotic and abiotic stress responses, and microbial associations. Agronomy 2020, 10, 1209. [Google Scholar] [CrossRef]
  11. Pereira, V.; Figueira, O.; Castilho, P.C. Flavonoids as insecticides in crop protection—A Review of current research and future prospects. Plants 2024, 13, 776. [Google Scholar] [CrossRef]
  12. Schnarr, L.; Segatto, M.L.; Olsson, O.; Zuin, V.G.; Kümmerer, K. Flavonoids as biopesticides–Systematic assessment of sources, structures, activities and environmental fate. Sci. Total Environ. 2022, 824, 153781. [Google Scholar] [CrossRef] [PubMed]
  13. Riddick, E.W. Evaluating the effects of flavonoids on insects: Implications for managing pests without harming beneficials. Insects 2024, 15, 956. [Google Scholar] [CrossRef] [PubMed]
  14. Ghitti, E.; Rolli, E.; Crotti, E.; Borin, S. Flavonoids are intra- and inter-kingdom modulator signals. Microorganisms 2022, 10, 2479. [Google Scholar] [CrossRef]
  15. Khan, Z.R.; Midega, C.A.; Bruce, T.J.; Hooper, A.M.; Pickett, J.A. Exploiting phytochemicals for developing a ‘push–pull’ crop protection strategy for cereal farmers in Africa. J. Exp. Bot. 2010, 61, 4185–4196. [Google Scholar] [CrossRef]
  16. Khan, Z.; Midega, C.A.; Hooper, A.; Pickett, J. Push-pull: Chemical ecology-based integrated pest management technology. J. Chem. Ecol. 2016, 42, 689–697. [Google Scholar] [CrossRef]
  17. Liu, Q.; Xu, R.; Yan, Z.; Jin, H.; Cui, H.; Lu, L.; Zhang, D.; Qin, B. Phytotoxic allelochemicals from roots and root exudates of Trifolium pratense. J. Agric. Food Chem. 2013, 61, 6321–6327. [Google Scholar] [CrossRef]
  18. Wang, Y.; Jiang, Y.; Liu, X.; Chen, Y.; Zhang, Q.; Wang, L.; Li, W. Analysis of Ginkgo biloba root exudates and inhibition of soil fungi by flavonoids and terpene lactones. Plants 2024, 13, 2122. [Google Scholar] [CrossRef]
  19. Were, E.; Schöne, J.; Viljoen, A.; Rasche, F. Phenolics mediate suppression of Fusarium oxysporum f. sp. cubense TR4 by legume root exudates. Rhizosphere 2022, 21, 100459. [Google Scholar]
  20. Johnson, S.N.; Gregory, P.J. Chemically-mediated host-plant location and selection by root-feeding insects. Physiol. Entomol. 2006, 31, 1–13. [Google Scholar] [CrossRef]
  21. Sharma, H.C.; Ortiz, R. Host plant resistance to insects: An eco-friendly approach for pest management and environment conservation. J. Environ. Biol. 2002, 23, 111–135. [Google Scholar]
  22. Kloth, K.J.; Thoen, M.P.; Bouwmeester, H.J.; Jongsma, M.A.; Dicke, M. Association mapping of plant resistance to insects. Trends Plant Sci. 2012, 17, 311–319. [Google Scholar] [CrossRef] [PubMed]
  23. Smith, C.M. Plant resistance to insects. In Biological and Biotechnological Control of Insect Pests; Rechcigl, J.E., Rechcigl, N.A., Eds.; CRC Press, Taylor Francis Group: Boca Raton, FL, USA, 1999; pp. 171–208. [Google Scholar]
  24. Hilder, V.A.; Boulter, D. Genetic engineering of crop plants for insect resistance—A critical review. Crop Prot. 1999, 18, 177–191. [Google Scholar] [CrossRef]
  25. Mitchell, C.; Brennan, R.M.; Graham, J.; Karley, A.J. Plant defense against herbivorous pests: Exploiting resistance and tolerance traits for sustainable crop protection. Front. Plant Sci. 2016, 7, 1132. [Google Scholar] [CrossRef] [PubMed]
  26. Flors, V.; Kyndt, T.; Mauch-Mani, B.; Pozo, M.J.; Ryu, C.M.; Ton, J. Enabling sustainable crop protection with induced resistance in plants. Front. Sci. 2024, 2, 1407410. [Google Scholar] [CrossRef]
  27. Borkakati, R.N.; Venkatesh, M.R.; Saikia, D.K.; Sasanka, S.B. A brief review on food recognition by insects: Use of sensory and behavioural mechanisms. J. Entomol. Zool. Stud. 2019, 7, 574–579. [Google Scholar]
  28. Anton, S.; Cortesero, A.M. Plasticity in chemical host plant recognition in herbivorous insects and its implication for pest control. Biology 2022, 11, 1842. [Google Scholar] [CrossRef]
  29. Ali, J.G.; Agrawal, A.A. Specialist versus generalist insect herbivores and plant defense. Trends Plant Sci. 2012, 17, 293–302. [Google Scholar] [CrossRef]
  30. Dethier, V.G. Evolution of feeding preferences in phytophagous insects. Evolution 1954, 8, 33–54. [Google Scholar] [CrossRef]
  31. Bernays, E.A. Evolution of feeding behavior in insect herbivores. Bioscience 1998, 48, 35–44. [Google Scholar] [CrossRef]
  32. Silva, R.; Clarke, A.R. The “sequential cues hypothesis”: A conceptual model to explain host location and ranking by polyphagous herbivores. Insect Sci. 2020, 27, 1136–1147. [Google Scholar] [CrossRef]
  33. Visser, J.H. Host odor perception in phytophagous insects. Ann. Rev. Emomol. 1986, 31, 121–144. [Google Scholar] [CrossRef]
  34. Jones, L.C.; Rafter, M.A.; Walter, G.H. Host interaction mechanisms in herbivorous insects–life cycles, host specialization and speciation. Biol. J. Linn. Soc. 2022, 137, 1–14. [Google Scholar] [CrossRef]
  35. Chapman, R.F. Chemosensory regulation of feeding. In Regulatory Mechanisms in Insect Feeding; Chapman, R.F., de Boer, G., Eds.; Springer: Boston, MA, USA, 1995; pp. 101–136. [Google Scholar]
  36. Katis, N.I.; Tsitsipis, J.A.; Stevens, M.; Powell, G. Transmission of plant viruses. In Aphids as Crop Pests, 1st ed.; van Emden, H.F., Harrington, R., Eds.; CABI: Wallingford, UK, 2007; pp. 353–390. [Google Scholar]
  37. Brault, V.; Uzest, M.; Monsion, B.; Jacquot, E.; Blanc, S. Aphids as transport devices for plant viruses. C. R. Biol. 2010, 333, 524–538. [Google Scholar] [CrossRef] [PubMed]
  38. Blackman, R.; Eastop, V. Taxonomic Issues. In Aphids as Crop Pests; van Emden, H., Harrington, R., Eds.; CABI: Wallingford, UK, 2007; pp. 1–29. [Google Scholar]
  39. Stevens, M.; Lacomme, C. Transmission of plant viruses. In Aphids as Crop Pests; van Emden, H.F., Harrington, R., Eds.; CABI: Wallingford, UK, 2017; pp. 323–361. [Google Scholar]
  40. Dedryver, C.A.; Le Ralec, A.; Fabre, F. The conflicting relationships between aphids and men: A review of aphid damage and control strategies. C. R. Biol. 2010, 333, 539–553. [Google Scholar] [CrossRef]
  41. Bass, C.; Puinean, A.M.; Zimmer, C.T.; Denholm, I.; Field, L.M.; Foster, S.P.; Gutbrod, O.; Nauen, R.; Slater, R.; Williamson, M.S. The evolution of insecticide resistance in the peach potato aphid. Insect Biochem. Mol. Biol. 2014, 51, 41–51. [Google Scholar] [CrossRef]
  42. Isman, M. Botanical insecticides, deterrents, and repellents in modern agriculture and an increasingly regulated world. Annu. Rev. Entomol. 2006, 51, 45–66. [Google Scholar] [CrossRef]
  43. Dayan, F.E.; Cantrell, C.L.; Duke, S.O. Natural products in crop protection. Bioorg. Med. Chem. 2009, 17, 4022–4034. [Google Scholar] [CrossRef]
  44. Arora, S.; Husain, T.; Prasad, S. Allelochemicals as biocontrol agents: Promising aspects, challenges and opportunities. S. Afr. J. Bot. 2024, 166, 503–511. [Google Scholar] [CrossRef]
  45. Tlak Gajger, I.; Dar, S.A. Plant allelochemicals as sources of insecticides. Insects 2021, 12, 189. [Google Scholar] [CrossRef]
  46. Farhan, M.; Pan, J.; Hussain, H.; Zhao, J.; Yang, H.; Ahmad, I.; Zhang, S. Aphid-resistant plant secondary metabolites: Types, insecticidal mechanisms, and prospects for utilization. Plants 2024, 13, 2332. [Google Scholar] [CrossRef]
  47. Gautam, H.; Sharma, A.; Trivedi, P.K. The role of flavonols in insect resistance and stress response. Curr. Opin. Plant Biol. 2023, 73, 102353. [Google Scholar] [CrossRef] [PubMed]
  48. Morimoto, M.; Tanimoto, K.; Nakano, S.; Ozaki, T.; Nakano, A.; Komai, K. Insect antifeedant activity of flavones and chromones against Spodoptera litura. J. Agric. Food Chem. 2003, 51, 389–393. [Google Scholar] [CrossRef] [PubMed]
  49. Stec, K.; Kordan, B.; Gabryś, B. Quercetin and rutin as modifiers of aphid probing behavior. Molecules 2021, 26, 3622. [Google Scholar] [CrossRef]
  50. Stec, K.; Kordan, B.; Gabryś, B. Effect of soy leaf flavonoids on pea aphid probing behavior. Insects 2021, 12, 756. [Google Scholar] [CrossRef]
  51. Stec, K.; Kordan, B.; Bocianowski, J.; Gabryś, B. Hesperidin as a species-specific modifier of aphid behavior. Int. J. Mol. Sci. 2024, 25, 4822. [Google Scholar] [CrossRef]
  52. Goławska, S.; Sprawka, I.; Łukasik, I.; Goławski, A. Are naringenin and quercetin useful chemicals in pest-management strategies? J. Pest Sci. 2014, 87, 173–180. [Google Scholar] [CrossRef]
  53. Stec, K.; Kozłowska, J.; Wróblewska-Kurdyk, A.; Kordan, B.; Anioł, M.; Gabryś, B. Effect of naringenin and its derivatives on the probing behavior of Myzus persicae (Sulz.). Molecules 2020, 25, 3185. [Google Scholar] [CrossRef]
  54. Jacob, V.; Hagai, T.; Soliman, K. Structure-activity relationships of flavonoids. Curr. Org. Chem. 2011, 15, 2641–2657. [Google Scholar] [CrossRef]
  55. Chen, L.; Teng, H.; Xie, Z.; Cao, H.; Cheang, W.S.; Skalicka-Woniak, K.; Georgiev, M.I.; Xiao, J. Modifications of dietary flavonoids towards improved bioactivity: An update on structure–activity relationship. Crit. Rev. Food Sci. Nutr. 2018, 58, 513–527. [Google Scholar] [CrossRef]
  56. Muruganathan, N.; Dhanapal, A.R.; Baskar, V.; Muthuramalingam, P.; Selvaraj, D.; Aara, H.; Shiek Abdullah, M.Z.; Sivanesan, I. Recent updates on source, biosynthesis, and therapeutic potential of natural flavonoid luteolin: A Review. Metabolites 2022, 12, 1145. [Google Scholar] [CrossRef]
  57. Marín, L.; Gutiérrez-del-Río, I.; Yagüe, P.; Manteca, Á.; Villar, C.J.; Lombó, F. De novo biosynthesis of apigenin, luteolin, and eriodictyol in the actinomycete Streptomyces albus and production improvement by feeding and spore conditioning. Front. Microbiol. 2017, 8, 921. [Google Scholar] [CrossRef] [PubMed]
  58. López-Lázaro, M. Distribution and biological activities of the flavonoid luteolin. Mini-Rev. Med. Chem. 2009, 9, 31–59. [Google Scholar] [CrossRef] [PubMed]
  59. Salehi, B.; Venditti, A.; Sharifi-Rad, M.; Kręgiel, D.; Sharifi-Rad, J.; Durazzo, A.; Lucarini, M.; Santini, A.; Souto, E.B.; Novellino, E.; et al. The Therapeutic Potential of Apigenin. Int. J. Mol. Sci. 2019, 20, 1305. [Google Scholar] [CrossRef]
  60. Boué, S.M.; Raina, A.K. Effects of plant flavonoids on fecundity, survival, and feeding of the formosan subterranean termite. J. Chem. Ecol. 2003, 29, 2575–2584. [Google Scholar] [CrossRef] [PubMed]
  61. Johnson, A.D.; Singh, A. Larvicidal activity and biochemical effects of apigenin against filarial vector Culex quinquefasciatus. Int. J. Life Sci. Sci. Res. 2017, 3, 1315–1321. [Google Scholar] [CrossRef]
  62. Xu, D.; Huang, Z.; Cen, Y.J.; Chen, Y.; Freed, S.; Hu, X.G. Antifeedant activities of secondary metabolites from Ajuga nipponensis against adult of striped flea beetles, Phyllotreta striolata. J. Pest Sci. 2009, 82, 195–202. [Google Scholar] [CrossRef]
  63. Pratap, B.; Singh, A. In vivo Effects of apigenin isolated from Jatropha gossypifolia plant on the biochemical profile of fish. Glob. J. Pharmacol. 2013, 7, 166–171. [Google Scholar]
  64. Wang, S.D.; Liu, W.; Xue, C.B.; Luo, W.C. The effects of luteolin on phenoloxidase and the growth of Spodoptera exigua (Hübner) larvae (Lepidoptera: Noctuidae). J. Pest. Sci. 2010, 35, 483–487. [Google Scholar] [CrossRef]
  65. Matsuda, K.; Matsuo, H. A flavonoid, luteolin-7-glucoside, as well as salicin and populin, stimulating the feeding of leaf beetles attacking salicaceous plants. Appl. Entomol. Zoolog. 1985, 20, 305–313. [Google Scholar] [CrossRef]
  66. Wiseman, B.R.; Gueldner, R.C.; Lynch, R.E.; Severson, R.F. Biochemical activity of centipedegrass against fall armyworm larvae. J. Chem. Ecol. 1990, 16, 2677–2690. [Google Scholar] [CrossRef]
  67. Goławska, S.; Sprawka, I.; Łukasik, I. Effect of saponins and apigenin mixtures on feeding behavior of the pea aphid, Acyrthosiphon pisum Harris. Biochem. Syst. Ecol. 2014, 55, 137–144. [Google Scholar] [CrossRef]
  68. Goławska, S.; Łukasik, I. Antifeedant activity of luteolin and genistein against the pea aphid, Acyrthosiphon pisum. J. Pest Sci. 2012, 85, 443–450. [Google Scholar] [CrossRef] [PubMed]
  69. Goławska, S.; Łukasik, I.; Chojnacki, A.A. Luteolin and quercetin affect aphid feeding behavior. Eur. Zool. J. 2024, 91, 318–331. [Google Scholar] [CrossRef]
  70. Dreyer, D.L.; Jones, K.C. Feeding deterrency of flavonoids and related phenolics towards Schizaphis graminum and Myzus persicae: Aphid feeding deterrents in wheat. Phytochemistry 1981, 20, 2489–2493. [Google Scholar] [CrossRef]
  71. Margaritopoulos, J.T.; Kasprowicz, L.; Malloch, G.L.; Fenton, B. Tracking the global dispersal of a cosmopolitan insect pest, the peach potato aphid. BMC Ecol. 2009, 9, 13. [Google Scholar] [CrossRef]
  72. Tjallingii, W.F.; Esch, T.H.H. Fine structure of aphid stylet routes in plant tissues in correlation with EPG signals. Physiol. Entomol. 1993, 18, 317–328. [Google Scholar] [CrossRef]
  73. Pettersson, J.; Tjallingii, W.F.; Hardie, J. Host-plant selection and feeding. In Aphids as Crop Pests; van Emden, H.F., Harrington, R., Eds.; CABI: Wallingford, UK, 2017; pp. 173–195. [Google Scholar]
  74. Douglas, A.E. The nutritional physiology of aphids. Advan. Insect Physiol. 2003, 31, 73–140. [Google Scholar]
  75. Will, T.; Van Bel, A.J.E. Physical and chemical interactions between aphids and plants. J. Exp. Bot. 2006, 57, 729–737. [Google Scholar] [CrossRef]
  76. Gabryś, B.; Pawluk, M. Acceptability of different species of Brassicaceae as hosts for the cabbage aphid. Entomol. Exp. Appl. 1999, 91, 105–109. [Google Scholar] [CrossRef]
  77. Kordan, B.; Stec, K.; Słomiński, P.; Laszczak-Dawid, A.; Wróblewska-Kurdyk, A.; Gabryś, B. Antixenosis potential in pulses against the pea aphid (Hemiptera: Aphididae). J. Econ. Entomol. 2019, 112, 465–474. [Google Scholar] [CrossRef]
  78. Grudniewska, A.; Kłobucki, M.; Dancewicz, K.; Szczepanik, M.; Gabryś, B.; Wawrzeńczyk, C. Synthesis and antifeedant activity of racemic and optically active hydroxy lactones with the p-menthane system. PLoS ONE 2015, 10, e0131028. [Google Scholar] [CrossRef] [PubMed]
  79. Dancewicz, K.; Szumny, A.; Wawrzeńczyk, C.; Gabryś, B. Repellent and antifeedant activities of citral-derived lactones against the peach potato aphid. Int. J. Mol. Sci. 2020, 21, 8029. [Google Scholar] [CrossRef] [PubMed]
  80. Wróblewska-Kurdyk, A.; Dancewicz, K.; Gliszczyńska, A.; Gabryś, B. New insight into the behaviour modifying activity of two natural sesquiterpenoids farnesol and nerolidol towards Myzus persicae (Sulzer)(Homoptera: Aphididae). Bull. Entomol. Res. 2020, 110, 249–258. [Google Scholar] [CrossRef] [PubMed]
  81. Philippi, J.; Schliephake, E.; Jurgens, H.U.; Jansen, G.; Ordon, F. Feeding behavior of aphids on narrow-leafed lupin (Lupinus angustifolius) genotypes varying in the content of quinolizidine alkaloids. Entomol. Exp. Appl. 2005, 156, 37–51. [Google Scholar] [CrossRef]
  82. Pompon, J.; Quiring, D.; Goyer, C.; Giordanengo, P.; Pelletier, Y. A phloem-sap feeder mixes phloem and xylem sap to regulate osmotic potential. J. Insect Physiol. 2011, 57, 1317–1322. [Google Scholar] [CrossRef]
  83. Ramírez, C.C.; Villagra, C.A.; Niemeyer, H.M. Increased xylem ingestion and decreased phloem ingestion in the aphid Acyrthosiphon pisum (Hemiptera: Aphididae) parasitised by Aphidius ervi (Hymenoptera: Braconidae). Euro. J. Entomol. 2006, 103, 263. [Google Scholar] [CrossRef]
  84. Paprocka, M.; Dancewicz, K.; Kordan, B.; Damszel, M.; Sergiel, I.; Biesaga, M.; Mroczek, J.; Arroyo-Garcia, R.A.; Gabryś, B. Probing behavior of Aphis fabae and Myzus persicae on three species of grapevines with analysis of grapevine leaf anatomy and allelochemicals. Euro. Zool. J. 2023, 90, 83–100. [Google Scholar] [CrossRef]
  85. Pompon, J.; Pelletier, Y. Changes in aphid probing behaviour as a function of insect age and plant resistance level. Bull. Entomol. Res. 2012, 102, 550–557. [Google Scholar] [CrossRef]
  86. Boquel, S.; Giordanengo, P.; Ameline, A. Probing behavior of apterous and alate morphs of two potato–colonizing aphids. J. Insect Sci. 2011, 11, 164. [Google Scholar] [CrossRef]
  87. Polonsky, J.; Bhatnagar, S.C.; Griffiths, D.C.; Pickett, J.A.; Woodcock, C.M. Activity of qassinoids as antifeedants against aphids. J. Chem. Ecol. 1989, 15, 933–998. [Google Scholar] [CrossRef]
  88. Gabryś, B.; Dancewicz, K.; Gliszczyńska, A.; Kordan, B.; Wawrzeńczyk, C. Systemic deterrence of aphid probing and feeding by β-damascone analogues. J. Pest. Sci. 2015, 88, 507–516. [Google Scholar] [CrossRef] [PubMed]
  89. Mayoral, A.M.; Tjallingii, W.F.; Castanera, P. Probing behavior of Diuraphis noxia on five cereal species with different hydroxyamic acid levels. Entomol. Exp. Appl. 1996, 78, 341–348. [Google Scholar] [CrossRef]
  90. Paprocka, M.; Gliszczyńska, A.; Dancewicz, K.; Gabryś, B. Novel Hydroxy- and Epoxy-cis-Jasmone and Dihydrojasmone Derivatives Affect the Foraging Activity of the Peach Potato Aphid Myzus persicae (Sulzer) (Homoptera: Aphididae). Molecules 2018, 23, 2362. [Google Scholar] [CrossRef] [PubMed]
  91. Garzo, E.; Álvarez, A.J.; Moreno, A.; Walker, G.P.; Tjallingii, W.F.; Fereres, A. Novel program for automatic calculation of EPG variables. J. Insect Sci. 2024, 24, 28. [Google Scholar] [CrossRef]
  92. Shapiro, S.S.; Wilk, M.B. An analysis of variance test for normality (complete samples). Biometrika 1965, 52, 591–611. [Google Scholar] [CrossRef]
  93. VSN International Genstat for Windows, 23rd ed.; VSN International: Hemel Hempstead, UK, 2023.
Figure 1. Basic flavonoid structure and chemical structures of apigenin and luteolin.
Figure 1. Basic flavonoid structure and chemical structures of apigenin and luteolin.
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Figure 2. Electrical Penetration Graph recording of Myzus persicae stylet activities in plant tissues of Brassica rapa ssp. Pekinensis treated with 0.1% apigenin. Upper panel illustrates a 1 h section of the 8 h EPG. Lower panels show the details of individual EPG waveforms corresponding to the display in the upper panel. “np”—no probing; “C”—progressive stylet movements within the apoplast and occasional punctures of cells adjacent to the stylet track represented as potential drops, “pds”; “G”—active uptake of xylem sap; “E1”—egestion of saliva into sieve elements; “E2”—passive ingestion of phloem sap from sieve elements.
Figure 2. Electrical Penetration Graph recording of Myzus persicae stylet activities in plant tissues of Brassica rapa ssp. Pekinensis treated with 0.1% apigenin. Upper panel illustrates a 1 h section of the 8 h EPG. Lower panels show the details of individual EPG waveforms corresponding to the display in the upper panel. “np”—no probing; “C”—progressive stylet movements within the apoplast and occasional punctures of cells adjacent to the stylet track represented as potential drops, “pds”; “G”—active uptake of xylem sap; “E1”—egestion of saliva into sieve elements; “E2”—passive ingestion of phloem sap from sieve elements.
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Figure 3. Individual variation and sequential changes in probing behavior of Myzus persicae on Brassica rapa ssp. pekinensis untreated (a,b) and treated with 0.1% apigenin (c,d) and 0.1% luteolin (e,f). Panels (a,c,e) represent the proportion of time (percentage of cumulative time for individual aphids and the mean of the group) devoted to individual probing activities. Panels (b,d,f) represent the proportion of time (average percentage of cumulative time for aphids in the group) devoted to individual activities during the successive hours of the 8 h EPG recording. np = no probing; C + F + G = pathway + derailed stylet activities + xylem phase; E = phloem phase E1 (salivation) + E2 (sap ingestion) activities.
Figure 3. Individual variation and sequential changes in probing behavior of Myzus persicae on Brassica rapa ssp. pekinensis untreated (a,b) and treated with 0.1% apigenin (c,d) and 0.1% luteolin (e,f). Panels (a,c,e) represent the proportion of time (percentage of cumulative time for individual aphids and the mean of the group) devoted to individual probing activities. Panels (b,d,f) represent the proportion of time (average percentage of cumulative time for aphids in the group) devoted to individual activities during the successive hours of the 8 h EPG recording. np = no probing; C + F + G = pathway + derailed stylet activities + xylem phase; E = phloem phase E1 (salivation) + E2 (sap ingestion) activities.
Ijms 26 04452 g003aIjms 26 04452 g003b
Figure 4. Cumulative percentage of Myzus persicae that attained the phloem phase (reached sieve elements) during 8 h EPG monitoring of control untreated Brassica rapa ssp. pekinensis and Brassica rapa ssp. pekinensis treated trans-epidermally with 0.1% apigenin and 0.1% luteolin. Panel (a) represents aphids that showed any contact with sieve elements confirmed by the appearance of the first “E1” waveform (phloem salivation) in the successive hours of the EPG recording. Panel (b) represents aphids that showed the first bout of ingestion activity confirmed by the appearance of the first “E2” waveform (phloem sap ingestion) in the successive hours of the EPG recording.
Figure 4. Cumulative percentage of Myzus persicae that attained the phloem phase (reached sieve elements) during 8 h EPG monitoring of control untreated Brassica rapa ssp. pekinensis and Brassica rapa ssp. pekinensis treated trans-epidermally with 0.1% apigenin and 0.1% luteolin. Panel (a) represents aphids that showed any contact with sieve elements confirmed by the appearance of the first “E1” waveform (phloem salivation) in the successive hours of the EPG recording. Panel (b) represents aphids that showed the first bout of ingestion activity confirmed by the appearance of the first “E2” waveform (phloem sap ingestion) in the successive hours of the EPG recording.
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Table 1. Probing behavior of Myzus persicae on Brassica rapa ssp. Pekinensis untreated and treated with 0.1% apigenin and 0.1% luteolin: non-sequential EPG parameters.
Table 1. Probing behavior of Myzus persicae on Brassica rapa ssp. Pekinensis untreated and treated with 0.1% apigenin and 0.1% luteolin: non-sequential EPG parameters.
EPG VariableControl Apigenin Luteolin HSD0.05F-ANOVA
n 1Mean ± SEMn 1Mean ± SEMn 1Mean ± SEM
No probing
Total duration of np 1760.2 a ± 12.91973.4 a ± 9.901654.2 a ± 10.331.50.454
Number of np1741.2 a ± 6.601941.6 a ± 5.101638.8 a ± 5.8016.50.936
Mean duration of np 171.40 a ± 0.10191.70 a ± 0.20161.30 a ± 0.200.420.116
Probing
Total probing time17419.8 a ± 12.919406.6 a ± 9.916425.8 a ± 10.331.50.454
Number of probes1741.1 a ± 6.601941.5 a ± 5.101638.7 a ± 5.7016.40.935
Number of short probes (C < 3 min)1726.8 a ± 5.101927.6 a ± 4.201624.3 a ± 4.2012.80.867
Pathway phase
Total duration of C17196.0 a ± 22.719208.0 a ± 19.016190.6 a ± 18.056.80.817
Number of C1743.7 a ± 6.701945.2 a ± 4.801642.0 a ± 6.0016.50.927
Mean duration of C175.70 a ± 0.80195.20 a ± 0.50165.20 a ± 0.401.730.746
Proportion of probing spent in C (%)1749.0 a ± 6.601953.0 a ± 5.701646.2 a ± 5.1016.60.711
Derailed stylet activities
Total duration of F1729.2 a ± 9.801919.0 a ± 8.701618.4 a ± 7.2024.80.623
Number of F170.80 a ± 0.20190.50 a ± 0.20160.40 a ± 0.200.570.503
Mean duration of F 2942.1 a ± 9.20632.9 a ± 9.60645.6 a ± 11.919.20.376
Proportion of probing spent in F 2 (%)912.9 a ± 3.40614.2 a ± 4.60612.2 a ± 3.107.070.841
Xylem phase
Total duration of G1712.7 a ± 3.901923.6 a ± 6.81616.6 a ± 5.7016.30.393
Number of G170.60 a ± 0.20190.60 a ± 0.16160.70 a ± 0.200.530.977
Mean duration of G 2821.5 b ± 2.001038.5 a ± 7.70826.1 ab ± 7.5013.60.04
Proportion of probing spent in G 2 (%)86.60 b ± 1.101011.2 a ± 2.1087.80 ab ± 1.803.700.044
Phloem phase: general
Total duration of phloem phase E (E1 + E2)16193.2 a ± 30.416185.1 a ± 25.315213.3 a ± 28.776.30.752
Total duration of E1161.80 a ± 0.30167.40 a ± 4.60152.70 a ± 0.607.380.252
Total duration of E216191.5 a ± 30.616177.9 a ± 26.215210.9 a ± 28.977.40.693
Phloem phase: salivation (E1)
Number of E1171.90 a ± 0.30193.00 a ± 0.60162.90 a ± 0.601.530.306
Mean duration of E1 2160.90 a ± 0.10162.30 a ± 1.50150.90 a ± 0.702.440.371
Duration of the E1 followed by 1st E2 2161.70 a ± 0.30162.60 a ± 0.50152.20 a ± 0.401.070.185
Duration of E1 followed by 1st E2 > 10 min 2151.00 b ± 0.10151.80 a ± 0.26141.50 ab ± 0.300.600.035
Contribution of E1 to phloem phase (%) 2163.30 a ± 1.80166.10 a ± 3.60155.80 a ± 4.309.080.79
Proportion of probing spent in E1 (%)160.40 a ± 0.90161.80 a ± 1.20150.60 a ± 0.101.880.261
Phloem phase: sap ingestion (E2)
Number of E2171.80 a ± 0.30192.70 a ± 0.60162.60 a ± 0.601.450.39
Number of E2 > 10 min171.10 a ± 0.20191.70 a ± 0.30161.70 a ± 0.300.820.253
Mean duration of E2 216155.3 a ± 35.11685.5 a ± 21.015137.1 a ± 32.080.90.195
Proportion of probing spent in E2 (%)1643.2 a ± 6.601641.7 a ± 5.501547.6 a ± 6.0016.40.754
1 Number of replications; 2 only the EPG recordings that included a particular waveform were included in calculations; np—no probing (aphid stylets outside the plant tissues); C—pathway activity (extracellular stylet penetration with potential drops, i.e., short cell punctures); F—derailed stylet activities (difficulties in penetration); G—xylem phase (ingestion of xylem sap); E—phloem phase, including E1 (phloem salivation) and E2 (phloem sap ingestion); E2 > 10 min—sustained ingestion of phloem sap. Time and duration of various stylet activities are recorded in minutes. HSD0.05—honest significant difference at the 0.05 significance level. Different letters in rows show significant differences at p < 0.05 (ANOVA). Shading emphasizes variables that are significantly different between treatments.
Table 2. Probing behavior of Myzus persicae on Brassica rapa ssp. pekinensis untreated and treated with 0.1% apigenin and 0.1% luteolin: sequential EPG parameters.
Table 2. Probing behavior of Myzus persicae on Brassica rapa ssp. pekinensis untreated and treated with 0.1% apigenin and 0.1% luteolin: sequential EPG parameters.
ControlApigeninLuteolinHSD0.05F-
ANOVA
n 1Mean ± SEMn 1Mean ± SEMn 1Mean ± SEM
Start of EPG
Time to 1st probe from start of EPG171.30 a ± 0.50191.50 a ± 0.50163.20 a ± 1.202.140.161
Duration of 1st probe172.30 ab ± 0.70190.70 b ± 0.30163.70 a ± 1.502.670.048
Before 1st phloem phase
Time from 1st probe to 1st E 217183.1 a ± 30.519199.6 a ± 35.716170.9 a ± 29.392.10.820
Time to 1st E within the probe 31635.9 a ± 9.001619.8 a ± 2.601625.4 a ± 4.2016.20.131
Number of probes to 1st E1 21725.4 a ± 5.701928.4 a ± 4.601628.5 a ± 5.4014.80.891
Duration of no probing before 1st E 21737.9 a ± 12.61944.8 a ± 9.201632.0 a ± 7.5028.50.665
1st phloem phase
Duration of 1st phloem phase E 316145.9 a ± 37.61668.4 a ± 22.315120.9 a ± 34.086.30.181
Before 1st sap ingestion phase E2
Time from 1st probe to 1st E2 417190.3 a ± 30.519213.6 a ± 35.316171.7 a ± 29.391.60.654
Time to 1st E2 within the probe 51637.6 a ± 8.901620.00 b ± 2.601526.2 ab ± 4.2015.990.046
Before 1st sap ingestion phase E2 > 10 min
Time from 1st probe to 1st E2 > 10 min 617252.0 a ± 35.819245.5 a ± 37.416191.5 a ± 32.5101.30.445
Time to 1st E2 > 10 min. within the probe 71541.6 a ± 9.101527.7 a ± 5.201427.9 a ± 4.2017.40.197
After 1st phloem phase
Number of probes after 1st E 71616.7 a ± 4.801615.6 a ± 3.901510.9 a ± 2.3010.40.510
Number of probes < 3 min. after 1st E 71611.4 a ± 3.801610.3 a ± 2.70156.40 a ± 1.707.800.430
Potential E2 index 81564.8 a ± 9.001558.6 a ± 7.701463.1 a ± 7.9022.30.84
1 Number of replications; 2 time or number of probes from 1st probe to the end of EPG recording if E is missing; 3 missing data if E is missing; E2; 4 time from 1st probe to the end of EPG recording if E is missing; 5 missing data if E is missing; 6 time from 1st probe to the end of EPG recording if E is missing; 7 missing data if E is missing; 8 potential E2 index = the percentage of time spent in E2 by an aphid with any sustained E2, after reaching the first sustained E2. Time and duration of various stylet activities are recorded in minutes. HSD0.05—honest significant difference at the 0.05 significance level. Different letters in rows show significant differences at p < 0.05 (ANOVA). Shading emphasizes variables that are significantly different between treatments.
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Wróblewska-Kurdyk, A.; Kordan, B.; Bocianowski, J.; Stec, K.; Gabryś, B. Effects of Apigenin and Luteolin on Myzus persicae (Hemiptera: Aphididae) Probing Behavior. Int. J. Mol. Sci. 2025, 26, 4452. https://doi.org/10.3390/ijms26094452

AMA Style

Wróblewska-Kurdyk A, Kordan B, Bocianowski J, Stec K, Gabryś B. Effects of Apigenin and Luteolin on Myzus persicae (Hemiptera: Aphididae) Probing Behavior. International Journal of Molecular Sciences. 2025; 26(9):4452. https://doi.org/10.3390/ijms26094452

Chicago/Turabian Style

Wróblewska-Kurdyk, Anna, Bożena Kordan, Jan Bocianowski, Katarzyna Stec, and Beata Gabryś. 2025. "Effects of Apigenin and Luteolin on Myzus persicae (Hemiptera: Aphididae) Probing Behavior" International Journal of Molecular Sciences 26, no. 9: 4452. https://doi.org/10.3390/ijms26094452

APA Style

Wróblewska-Kurdyk, A., Kordan, B., Bocianowski, J., Stec, K., & Gabryś, B. (2025). Effects of Apigenin and Luteolin on Myzus persicae (Hemiptera: Aphididae) Probing Behavior. International Journal of Molecular Sciences, 26(9), 4452. https://doi.org/10.3390/ijms26094452

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