Abstract
The green peach aphid, Myzus persicae, is one of the most threatening pests in pepper cultivation and growers would benefit from resistant varieties. Previously, we identified two Capsicum accessions as susceptible and three as resistant to M. persicae using an aphid population originating from the Netherlands (NL). Later on we identified an aphid population originating from a different geographical region (Switserland, SW) that was virulent on all tested Capsicum accessions. The objective of the current work is to describe in detail different aspects of the interaction between two aphid populations and two selected Capsicum accessions (one that was susceptible [PB2013046] and one that was resistant [PB2013071] to population NL), including biochemical processes involved. Electrical penetration graph (EPG) recordings showed similar feeding activities for both aphid populations on PB2013046. On accession PB2013071 the aphid population SW was able to devote significantly more time to phloem ingestion than population NL. We also studied plant defense response and found that plants of accession PB2013046 could not induce an accumulation of reactive oxygen species and callose formation after infestation with either aphid population. However, plants of PB2013071 induced a stronger defense response after infestation by population NL than after infestation by population SW. Based on these results, population SW of M. persicae seems to have overcome the resistance of PB2013071 that prevented feeding of aphids from NL population. The potential mechanism by which SW population overcomes the resistance is discussed.
Keywords: callose deposition, EPG, plant–aphid interaction, plant immunity, ROS accumulation, virulence
Introduction
Aphids are among the most important plant pests worldwide, damaging crops directly by feeding from the phloem and indirectly by transmitting many harmful viruses (Dixon, 1977; Powell et al., 2006). The generalist green peach aphid, Myzus persicae, is one of the most important pest insects in pepper crops (Capsicum spp.), causing chlorosis, leaf defoliation, flower and fruit abortion (Blackman & Eastop, 2000). Many pepper viruses are mainly vectored by M. persicae, including Pepper mottle virus, Pepper severe mosaic virus and Pepper yellow mosaic virus (Black et al., 1991; Kenyon et al., 2014). Chemical pesticides have been widely used to control aphids. However, due to the long‐time use of these chemicals, more and more species (and populations) of aphids are reported to be developing resistance to pesticides (Wang et al., 2002; Cheng et al., 2004; Bass et al., 2014). With increasing concern about the negative environmental impact of insecticides, host plant resistance is commonly seen as a desirable goal in plant breeding and is projected to play an indispensable role in integrated pest management (Broekgaarden et al., 2011). In many cases, resistance factors like Quantitative Trait Loci (QTLs) or genes controlling plant resistance have been successfully used in breeding programs, such as the resistance in lettuce to the black currant‐lettuce aphid Nasonovia ribisnigri (Eenink et al., 1982), the resistance in wheat to the Russian wheat aphid Diuraphis noxia (Cleveland et al., 2003), the resistance in soybean to soybean aphid Aphis glycines (Wu et al., 2004) and the resistance in melon to cotton aphid Aphis gossypii (Pitrat & Lecoq, 1980). One type of plant resistance mechanism was hypothesized to work according to the gene‐for‐gene principle, which means that a resistance gene (R gene) in the resistant plant recognizes an effector secreted by the aphid and then activates defense responses against the attacking aphid (Stotz et al., 1999; Kessler & Baldwin, 2002). Later on the more comprehensive zigzag model was developed (Jones & Dangl, 2006; Smith & Boyko, 2007; Yates & Michel, 2018). During aphid infestation, plants can recognize conserved molecules (known as pathogen or herbivore‐associated molecular patterns or PAMPs/HAMPS) by pattern recognition receptors (PRR) and activate PAMP‐triggered immunity (PTI) (Jones & Dangl, 2006; Smith & Boyko, 2007). In order to colonize plants, aphids may secrete effectors to prevent the plant defense response, which is known as effector‐triggered susceptibility (ETS) (Rodriguez & Bos, 2013; Elzinga et al., 2014). At their turn plants may respond with the production of R proteins that are able to recognize effectors, leading to effector‐triggered immunity (ETI) (Hogenhout & Bos, 2011; Jaouannet et al., 2014). Both PTI and ETI result in an incompatible plant–aphid interaction (Tsuda & Katagiri, 2010). The incompatible interaction between host and insect may be observed as a microscopic hypersensitive response in the host plant after insect infestation, involving phloem protein plugging (Tjallingii, 2006; Medina‐Ortega & Walker, 2015), callose deposition (Villada et al., 2009; Luna et al., 2011), and/or accumulation of reactive oxygen species (ROS) (Moloi & van der Westhuizen, 2006; Villada et al., 2009; Lei et al., 2014). Phloem protein plugging is a fast process, which has been best studied in legumes, involving forisomes (Peters et al., 2006). So far there is only limited information on protein plugging of sieve elements in other species (Knoblauch et al., 2014; Garzo et al., 2018). The deposition of callose, a β‐1,3‐glucan, has been reported as an important and long‐lasting reaction to wounding, pathogen infection and insect infestation (Stone & Clarke, 1992; Donofrio & Delaney, 2001; van der Westhuizen et al., 2002; Hao et al., 2008). Phloem protein plugging and callose deposition induced by phloem‐feeding insects are triggered by an influx of calcium. They prevent the uptake of sieve‐tube sap by the insect and is suggested to be a resistance factor against several insects (Van der Westhuizen et al., 1998; Liu et al., 2017; Sun et al., 2018). The accumulation of ROS is an earlier and faster reaction than callose deposition after pathogen or insect attack (Piedras et al., 1998; Miller et al., 2009). ROS accumulation is believed to play an important role in plant resistance to invading aphids (Moloi & van der Westhuizen, 2006; Kerchev et al., 2012; Shoala et al., 2018). Not only does it protect plants directly (Liu et al., 2010), it also acts as signal to activate downstream defense enzymes (Moloi & van der Westhuizen, 2006; Kuśnierczyk et al., 2008). The incompatible host–aphid interaction also can be detected by monitoring aphid probing and feeding behavior using the electrical penetration graph (EPG) technique (Alvarez et al., 2006; Chandran et al., 2013). The EPG technique provides information about the aphid's activity on the plant through different waveforms (Tjallingii, 1988; Tjallingii et al., 2010) and these waveforms have been used to deduce the physical location of resistance factors encountered by aphids (Alvarez et al., 2006; Khan et al., 2015).
Although breeding resistant varieties is a promising method to manage aphid populations, one challenge is to prevent the evolution of new aphid populations which can overcome the resistance (Haley et al., 2004; Hill et al., 2010; ten Broeke et al., 2013a). An aphid population that can overcome host resistance is called a virulent population. Virulent populations are often found with specialist aphids such as Diuraphis noxia (Haley et al., 2004), A. glycines (Kim et al., 2008), and A. pisum (Kanvil et al., 2014). For generalist aphids, there are only a few reports showing that certain populations of Macrosiphum euphorbiae (Hebert et al., 2007; Pallipparambil et al., 2010), A. gossypii (Lombaert et al., 2009), and M. persicae (Cabrera‐Brandt et al., 2015) can overcome or partially overcome crop resistance. To prevent the emergence of virulent or semivirulent aphid populations it is important to understand how they overcome the resistance. Previous studies which revealed the existence of virulent aphid populations mostly payed attention to the variation in aphid behavior on resistant plants. A more detailed study on the interaction, which involves not only aphid behavior but also constitutive and induced plant resistance mechanisms, may help to understand the mechanism by which a virulent aphid population overcomes resistance.
Recently, we identified Capsicum accessions susceptible and resistant to a M. persicae population from the Netherlands (Sun et al., 2018). These accessions were also challenged with a M. persicae population originating from a different geographical region (Switzerland). Aphid feeding activity and plant defense responses were studied in the various aphid–plant combinations in order to elucidate in detail different aspects of the interaction between the pepper accessions and the two aphid populations.
Materials and methods
Plant materials
The plant materials used are C. baccatum accessions (PB2013046, PB2012022, PB2013062 and PB2013071, obtained from the collection of Wageningen University & Research, NL) and a C. annuum accession (CGN19226, obtained from the Centre for Genetic Resources, NL). About 2 weeks after sowing, plants were transplanted into 14 cm pots with potting compost and grown in a standard greenhouse at 19–21 °C, 60%–70% relative humidity and a 16–8 h light–dark photoperiod at Wageningen University & Research, NL. Plants were watered every other day. No insect control was applied during growth and testing of the plants.
Aphid populations
Two populations of M. persicae were used in this study. One population was collected in the Netherlands in the 1980s and reared for many years on Chinese cabbage (Brassica rapa L. ssp. pekinensis cv. Granaat) at Wageningen University & Research, NL. The other population originates from Switzerland where it was collected in 1982. It was reared on peas until 2013, when it was transferred to C. annuum. The populations are referred to as NL and SW, respectively. We refer to them as populations, as it is unclear if they were started from one single aphid. They may in fact be two different clones. For the experiments discussed here, both populations were reared since 2015 on C. baccatum accession PB2013046 under the same conditions as used for growing of the pepper plants.
Evaluation of aphid performance by a clip cage test
The evaluations were performed in 2016 in a greenhouse of Wageningen University & Research, NL, when the plants were seven weeks old and still in the vegetative stage. Five plants of each accession were used per aphid population. All plants were randomized in one greenhouse compartment. Each plant received three clip cages (25 mm diameter), containing five 1‐d‐old nymphs from either the NL or SW population. The 1‐d‐old nymphs were produced by putting adult aphids on a clean leaf for 24 h and collecting all nymphs produced during that period, which were then used for infestation. After 12 d the number of surviving and dead aphids as well as new nymphs produced in each clip cage were counted. Statistical analysis was carried out as described previously (Sun et al., 2018). The observations from the three clip cages per plant were combined. Aphid survival was determined by dividing the number of living aphids by the total number of original aphids (dead and alive) that were found back in the clip cage. The number of next generation nymphs per original aphid was calculated by dividing the number of next generation aphids by the average number of living aphids present in the clip‐cage, which was calculated as (2 × living aphids + dead aphids)/2. In this formula we assume that dead original aphids contributed to the offspring during half of their life. Given that some aphids were able to escape from the clip cages because of the uneven leaf surface, data from clip cages with less than four aphids (dead and alive) were not included in the analysis. For statistical analysis data were transformed to stabilize the residual variance: survival as arcsin[sqrt(x)] and nymphs produced per average living adult as sqrt(x). Significance of accession effects (five tested accessions) was evaluated using ANOVA and the LSD test (P < 0.05) was used to assess pairwise differences between accessions, and between the two aphid populations using the t‐test (P < 0.05).
Monitoring of aphid probing and feeding behavior
The Electrical Penetration Graph (EPG) technique was used to monitor probing and feeding behavior of the two aphid populations on C. baccatum accessions PB2013071 and PB2013046, which were resistant and susceptible to the aphids of the NL population, respectively. Seven‐week‐old plants were probed with one adult aphid per plant placed on the abaxial side of the second fully expanded leaf from the top. For each recording a new aphid and plant were used. The EPG setup was as described by Alvarez et al. (2013). EPG recordings lasted for 6 h and were carried out under constant light and at a temperature of 20 ± 2 °C. We made 14 recordings (one per aphid) with each population on accession PB2013071, and 13 recordings with each population on accession PB2013046, after removing incomplete recordings because of aphid escape, respectively. The Stylet+ analysis software version 1.20 (http://www.epgsystems.eu/) was used to convert EPG recordings into different waveforms. EPG parameters were calculated online using EPG‐Calc 6.1.3 (Giordanengo, 2014). When a waveform was not produced, its duration was set to 0 (zero). t‐tests were used to determine the significance of both the differences between the accessions treated by the same aphid population and the differences between two aphid populations feeding on the same accession. Parameters that represent a fraction (such as parameter “% of E1 to E”) were transformed as arcsin[sqrt(x)] to stabilize variances. Other parameters were transformed to Ln(x+1) if needed. All the t‐tests were done in R v3.4.1 (https://www.R-project.org/) with default packages.
DAB staining for ROS accumulation
DAB (3,3’‐Diaminobenzidine) staining was performed according to the protocol of Daudi and O'Brien (2012) on plants of the accessions PB2013071 and PB2013046 after infestation with the two aphid populations. Seven‐week‐old plants received three clip cages containing 15 randomly selected wingless adult aphids per cage or three empty clip cages. Per accession we used four biological replicates (four plants) per aphid population. Leaf disks were collected from the clip cage areas after 6 h of aphid infestation, and disks under empty clip cages were collected at the same time for reference. Feeding aphids were removed from the leaves with a brush, and disks were then placed in 1 mg/mL 3,3’‐diaminobenzidine (DAB)‐HCl (Sigma‐Aldrich, USA) followed by vacuum infiltration for 20 min. After that, the disks were gently shaken and incubated overnight at room temperature in the dark. The next day they were cleaned with 96% ethanol in a 65 °C water bath for 3 h or in boiling water for 30–40 min. Ethanol was replaced when needed. After chlorophyll was removed, samples were washed in 30% ethanol and then mounted on glass slides with 30% glycerol. The presence of ROS was manifested by brown polymerized deposits. Photos were taken using a Zeiss Axiophoto digital imaging microscope (Carl Zeiss AG, Germany).
Callose deposition
Histological analysis of in situ callose deposition was carried out on accessions PB2013071 and PB2013046, infested with two aphid populations when plants were seven weeks old. Plants received either an empty clip cage or a cage with aphids. Three leaves each with one clip cage from three independent biological replicates per treatment were collected 24 h after the start of aphid infestation. Fifteen randomly selected wingless adult aphids were used in one clip cage. Leaf disks under an empty clip cage were collected after 24 h and used as reference. Aphids on disks were gently brushed away, and then leaf disks were washed and stained according to (Kissoudis et al., 2016; Sun et al., 2018). Samples were subsequently mounted on glass slides with 50% glycerol. Callose fluorescence was observed under UV light and photos were taken using the Zeiss Axiophoto digital imaging microscope (Carl Zeiss AG, Germany). The number of fluorescent callose spots in each disk was counted. For statistical analysis, the significance of differences in the average number of callose spots from three treatments (NL population, SW population and uninfested reference) was evaluated using ANOVA with the LSD test (P < 0.05).
Results
Aphid performance
The aphid populations NL and SW, which were collected in the Netherlands and Switzerland respectively, can survive and reproduce well on accessions PB2013046 and CGN19226 (Fig. 1, Table S1). More than 90% of the 1‐d‐old nymphs of each population survived and developed into adults, and on average each aphid produced more than 10 offspring after turning into adults. However, reproduction on accession PB2013046 was significantly higher than on accession CGN19226 for both aphid populations (Fig. 1A, LSD, P < 0.05, Table S1).
On the other three accessions (PB2012022, PB2013062, and PB2013071), the population of NL aphids produced fewer next‐generation nymphs than on the accessions PB2013046 and CGN19226, whereas SW aphids produced significantly fewer nymphs than on PB2013046, but not compared with CGN19226 (Fig. 1A, LSD, P < 0.05, Table S1). Moreover, NL aphids on these three accessions produced significantly fewer next generation nymphs than SW aphids (Fig. 1A, t‐test, P < 0.05, Table S1). Aphids of the NL population showed a significantly lower survival on these three accessions than on the other two accessions (PB2013046 and CGN19226) (Fig. 1B, LSD, P < 0.05, Table S1), while aphids of SW population showed a similar survival level on all accessions.
EPG analysis
The EPG technique was used to study aphid feeding behavior on the pepper accessions PB2013071 and PB2013046 (resistant and susceptible to the NL population, respectively) using both aphid populations. Tables 1 and S2 show the results for some EPG parameters.
Table 1.
Parameter value | P value from t‐test | |||||||
---|---|---|---|---|---|---|---|---|
Population NL | Population SW | Population NL | Population SW | PB2013071 | PB2013046 | |||
PB2013071 (n = 14) | PB2013046 (n = 13) | PB2013071 (n = 14) | PB2013046 (n = 13) | PB2013071 VS PB2013046 | PB2013071 VS PB2013046 | Population NL VS Population SW | Population NL VS Population SW | |
Number of probes | 13.8±2.4 | 11.2±2.5 | 10.4±2.7 | 12.0±2.8 | 0.2687 | 0.5956 | 0.1948 | 0.7673 |
Total duration of probes | 342.9±3.2 | 348.2±2.5 | 333.7±6.1 | 341.7±4.5 | 0.1129 | 0.5038 | 0.3994 | 0.2880 |
Number of NP | 12.9±2.4 | 10.2±2.5 | 9.4±2.7 | 11.1±2.8 | 0.2542 | 0.5785 | 0.1830 | 0.7470 |
Total duration of NP | 16.9±3.2 | 11.4±2.6 | 16.5±3.8 | 17.6±4.6 | 0.1125 | 0.8793 | 0.9362 | 0.3222 |
Number of C | 26.3±2.5 | 16.7±2.9 | 15.8±3.1 | 14.5±2.8 | 0.0025 | 0.7041 | 0.0030 | 0.4814 |
Total duration of C | 162.1±6.3 | 122.5±7.5 | 127.7±8.5 | 105.7±7.6 | 0.0482 | 0.4003 | 0.1458 | 0.4588 |
Number of F | 3.2±1.8 | 2.9±1.5 | 0.5±0.8 | 1.2±1.2 | 0.7945 | 0.1162 | 0.0090 | 0.0422 |
Total duration of F | 64.3±8.6 | 111.9±7.8 | 48.1±8.8 | 77.8±9.3 | 0.0823 | 0.3674 | 0.5846 | 0.2625 |
Total duration of G | 45.3±5.7 | 19.0±4.6 | 9.4±4.2 | 12.4±5.1 | 0.0199 | 0.7306 | 0.0018 | 0.4841 |
Time to first G | 176.0±10.2 | 264.8±10.2 | 334.7±8.1 | 325.3±8.6 | 0.0357 | 0.7341 | 0.0000 | 0.1022 |
Total duration of E | 71.2±6.6 | 94.8±9.2 | 156.7±10.4 | 145.8±10.3 | 0.3830 | 0.7995 | 0.0178 | 0.1913 |
Time to first E | 63.9±6.8 | 154.6±9.4 | 48.0±6.3 | 121.1±10.3 | 0.0042 | 0.0329 | 0.3481 | 0.3893 |
Total duration of E1 | 71.2±6.6 | 19.8±4.7 | 75.1±8.1 | 20.2±3.3 | 0.0007 | 0.0111 | 0.8566 | 0.9541 |
Number of single E1 | 9.1±1.9 | 2.5±1.8 | 4.6±1.9 | 1.2±1.0 | 0.0000 | 0.0045 | 0.0026 | 0.0817 |
Total duration of single E1 | 69.9±6.6 | 13.5±4.0 | 42.6±6.7 | 5.5±2.6 | 0.0003 | 0.0117 | 0.1236 | 0.1084 |
Number of E1 followed by E2 | 0.9±1.6 | 0.7±0.8 | 2.0±1.4 | 1.8±1.0 | 0.8265 | 0.3123 | 0.2346 | 0.0062 |
Total duration of E1 followed by E2 | 1.3±2.0 | 6.3±3.2 | 32.5±7.5 | 14.7±3.3 | 0.0151 | 0.2896 | 0.0717 | 0.0518 |
% of E1 to E | 99.9±0.6 | 50.4±6.7 | 67.7±6.4 | 30.1±5.7 | 0.0020 | 0.0160 | 0.0149 | 0.2034 |
Total duration of E2 | 0.1±0.4 | 74.9±9.5 | 81.6±10.7 | 125.6±10.4 | 0.0107 | 0.0500 | 0.0257 | 0.2038 |
Time to first E2 | 340.4±7.8 | 284.8±9.5 | 231.9±11.0 | 187.7±10.4 | 0.0108 | 0.3352 | 0.0092 | 0.0207 |
Total duration of sE2† | 0.0±0.0 | 74.8±9.5 | 76.3±10.4 | 124.5±10.4 | 0.0000 | 0.0298 | 0.0263 | 0.2153 |
Time to first sE2† | 360.0±0.0 | 284.9±9.5 | 266.0±11.0 | 195.3±10.7 | 0.0044 | 0.1377 | 0.0152 | 0.0371 |
Number of potential drops | 152.9±6.7 | 69.9±6.2 | 106.9±7.5 | 65.4±6.1 | 0.0000 | 0.0390 | 0.0296 | 0.7674 |
†sE2 represents sustained E2, phloem ingestion lasting for longer than 10 min.
Comparison between pepper accessions
For both aphid populations many differences were observed between the two accessions during the phloem feeding phase. More time was spent on phloem salivation and much less time on phloem ingestion by aphids on accession PB2013071 than on accession PB2013046. The time until the first phloem event was shorter for aphids on accession PB2013071 than for those on accession PB2013046. In addition, the total number of potential drops (individual cell punctures) for both aphid populations was higher on accession PB2013071 than on accession PB2013046.
For some parameters, the aphids of the NL population showed clear and significant differences in performance on the two accessions while the aphids of the SW population did not show a significant difference. These included the total time spent in the intercellular apoplastic pathway phase, the number of this pathway phases and the total time spent on xylem sap ingestion (all larger on accession PB2013071 than on accession PB2013046) and the time until first xylem probing (shorter on accession PB2013071).
Comparison between aphid populations
Aphids of the SW population were more successful than the aphids of the NL population when feeding on accession PB2013071, which is also more resistant to the NL population in terms of survival and reproduction. Although no significant differences between both aphid populations were detected in the overall duration of phloem salivation and the time until first phloem event, aphids of SW population spent much more time on phloem ingestion and needed less time until the first phloem ingestion compared to aphids of the NL population. The SW population also had a smaller number of intercellular apoplastic pathway phases, derailed stylets, xylem ingestion, and potential drops compared with the NL population.
While on accession PB2013046 only minor differences between the two aphid populations were observed: aphids of the NL population had more penetration difficulties (higher number of F) and needed a longer time until the first phloem ingestion compared with aphids of the SW population.
ROS accumulation
To investigate possible differences in the accumulation of reactive oxygen species (ROS) in plants when aphids of the NL or SW population were present, leaf disks (under the clip cages) where aphids had been feeding for 6 h were collected and stained for ROS accumulation. No ROS accumulation was seen in leaf disks from the accession PB2013046 with either aphid population or without aphids (Fig. S1). On accession PB2013071 (resistant to the NL population), dark staining was observed on leaf disks infested with aphids from the NL population and stained spots were mostly distributed along leaf veins. Conversely, only a very weak staining signal was seen on leaves of this accession infested with SW aphids (Fig. 2) and no staining was observed at all on leaf disks under empty clip cages.
Callose deposition
The formation of callose was examined to explore differences in defense after infestation with aphids of the NL or SW population on accessions PB2013071 and PB2013046 (resistant and susceptible to the NL population, respectively). No callose signal was detected in plants of the accession PB2013046 with either aphid population or in leaf disks without aphids infestation (results not shown). A clear callose signal was found in the vascular system of plants of the accession PB2013071 after 24 h of infestation with either aphid population (Fig. 3A and B). More fluorescent signal was detected in leaf disks infested with aphids of the NL population compared to the SW population (Fig. 3D, LSD, P < 0.05).
Discussion
Resistance in accession PB2013071 seems to be overcome by aphids of the SW population
The five accessions can be classified into resistant or susceptible based on differences in the performance of the aphid population from the Netherlands (NL) for both parameters used: survival of the original nymphs and the number of next generation nymphs produced. When using the SW population on plants of the three accessions resistant to the NL population (PB2012022, PB2013062, and PB2013071), we found that aphids of the SW population always had a higher survival and produced more offspring than those of the NL population. This difference between the two aphid populations was not seen on plants of accessions PB2013046 and CGN19226, on which both aphid populations behaved the same. Similar results were obtained in other studies involving other aphids and host plants; different populations of an aphid species performed differently on resistant, but not on susceptible plants (Pallipparambil et al., 2010; ten Broeke et al., 2013a,b). During EPG recordings, many differences were observed in the feeding of aphids from the two populations on accession PB2013071 that is resistant to the NL population, and these differences were apparent in all phases except the nonprobing phase, although not for all parameters. The most important difference between the two populations was seen during the phloem feeding phase. Both aphid populations were able to start phloem ingestion, but only aphids of the SW population were able to continue feeding for a prolonged time, resulting in a large difference in the length of the E2 phase. Probably because of successful phloem feeding, aphids of the SW population were able to propagate on accession PB2013071, as was shown by the performance experiment. In contrast, for aphids of the NL population it was almost impossible to take up phloem sap. These aphids often switched to xylem ingestion, perhaps to prevent starvation (Helden & Tjallingii, 1993; Crompton & Ode, 2010). Compared to aphids of the SW population, an attack by aphids of the NL population induced a stronger defense response in accession PB2013071. This induction was accompanied by a clearer ROS accumulation and more callose deposition. As one of the functions proposed for ROS is that it acts as a local toxin and discourages the attacker (Chen & Schopfer, 1999; Liu et al., 2010), it might be expected that strong ROS accumulation in resistant pepper leaves is induced directly in the phloem vessels, and this is indeed suggested by the distribution of stained spots along leaf veins in our case. Also in the leaves of accession PB2013071 more callose deposits were found upon infestation with NL aphids than with SW aphids. More callose deposition may lead to more serious occlusion of the phloem vessels and cause more difficulties to aphids during prolonged feeding (Hao et al., 2008; Sun et al., 2018). However, the fast plant reaction that prevents NL aphids from feeding might be caused by phloem proteins (Tjallingii, 2006; Furch et al., 2009). Coagulation of phloem proteins may cause the occlusion (plugging) of sieve elements and the aphid food canal (Garzo et al., 2018; Peng & Walker, 2018). Further experiments are needed to elucidate what is going on during this fast response in pepper‐aphid interaction. Based on all these data presented in our study, the resistance mechanism in accession PB2013071 seems to be much less effective against the SW population than against the NL population. Compared to aphids of the NL population, those of the SW population were able to initiate sustained phloem ingestion and only induced a mild defense response, suggesting that the aphids of the SW population are (semi)virulent on PB2013071 and have for a large part overcome the resistance. Such differences in virulence between populations were also reported for other aphid species and on other host plants (Tolmay et al., 2007; Lombaert et al., 2009; ten Broeke et al., 2013b). However, in our case population SW can only be termed semivirulent because accession PB2013071 still shows some residual resistance to the SW aphids.
Pepper accession PB2013071 shows residual resistance to the SW population
The EPG analysis revealed that aphids of the SW population to some extent experienced difficulties in taking up the phloem sap on the plants of accession PB2013071. The phloem salivation periods were longer and the phloem uptake periods were shorter on accession PB2013071 than on accession PB2013046. Differences were also detected in the level of ROS accumulation and callose deposition between both accessions after the infestation with the SW aphid population. No ROS accumulation and no callose deposits were found in the leaves of accession PB2013046 after infestation, whereas weak signals were clearly present in the resistant accession. These observations suggest that there still are resistance components in PB2013071 showing some residual effectivity against the SW population. Similar studies by others show that virulent aphids or pathogens are sometimes not able to overcome resistance completely and show a reduced virulence, therefore they are called as semivirulent (Stewart et al., 2003; Tan et al., 2008; Humphries et al., 2013; Humphries et al., 2016).
The interaction between two aphid populations and pepper accession PB2013071
The interaction between aphids and their host plants is often hypothesized to follow the gene‐for‐gene principle (Flor, 1971; Stotz et al., 1999; Kessler & Baldwin, 2002), which has been developed into the more comprehensive zigzag model (Jones & Dangl, 2006; Smith & Boyko, 2007; Yates & Michel, 2018). When aphids attack a plant, herbivore‐associated molecular patterns (HAMPs) from aphid saliva might be recognized by pattern recognition receptors (PRRs), causing PAMP‐triggered immunity (PTI) (Hogenhout & Bos, 2011). Insects may develop effectors that suppress PTI which is called effector‐triggered susceptibility (ETS) (Rodriguez & Bos, 2013; Elzinga et al., 2014; Wang et al., 2015). In their turn, plants may develop R proteins that recognize effectors in the saliva of the aphids and thus through effector‐triggered immunity (ETI) restore resistance (Bos et al., 2010; Chaudhary et al., 2014). If we apply this model to our system we may hypothesize that accession PB2013071 is resistant to the NL aphid population through PTI or ETI (Fig. 4A) while it is partially susceptible to the SW aphids because PTI is suppressed by effectors from SW aphids (Pitino & Hogenhout, 2013; Rodriguez et al., 2017), ETI is not activated because of lack of effectors that can be recognized by R protein (Drurey et al., 2017), and/or the resistance response is suppressed at a later stage (Postma et al., 2012; Białas et al., 2017; Zhuo et al., 2017) (Fig. 4B). Further and more detailed studies are necessary to elucidate the mechanism behind the differential interaction between the two M. persicae populations and accession PB2013071.
Conclusion
Two populations of M. persicae (NL and SW) perform similarly with respect to survival and reproduction on two Capsicum accessions susceptible to the NL population, but significantly different on three Capsicum accessions resistant to that population. The performance difference between the two aphid populations is accompanied by differences in feeding and probing activity as well as in levels of defense response (ROS accumulation, callose deposition), strongly suggesting that the SW population has (partially) overcome the resistance that is effective against the NL population.
Disclosure
The authors declare that they have no competing interests.
Supporting information
Acknowledgments
Funding for this project was provided by a grant (PPS 1409‐029) from the Ministry of Agriculture, Nature and Food Quality under the Groene Veredeling (Green Breeding) programme of the Netherlands, as well as the breeding companies Syngenta B.V., the Netherlands and Bayer Crop Science B.V., the Netherlands. MS is supported by a grant from the China Scholarship Council. We would like to thank Dr. Freddy Tjallingii for valuable discussions on the EPG data, Sean Geurts and Maarten Peters for taking care of the plants.
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