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Article

Genetic Variation in the Feeding Behavior of Isofemale Lines of Nesidiocoris tenuis

by
Milena Chinchilla-Ramírez
1,*,
Meritxell Pérez-Hedo
1,
Bart A. Pannebakker
2 and
Alberto Urbaneja
1
1
Unidad de Entomología UJI-IVIA, Centro de Protección Vegetal y Biotecnología, Instituto Valenciano de Investigaciones Agrarias (IVIA), CV-315, Km. 10,7, 46113 Moncada (Valencia), Spain
2
Wageningen University & Research, Laboratory of Genetics, Droevendaalsesteeg 1, 6708 PB Wageningen, The Netherlands
*
Author to whom correspondence should be addressed.
Insects 2020, 11(8), 513; https://doi.org/10.3390/insects11080513
Submission received: 25 June 2020 / Revised: 5 August 2020 / Accepted: 5 August 2020 / Published: 7 August 2020

Abstract

:

Simple Summary

Breeding of species for the benefit of humans is a well-known practice in plants and some vertebrates. However, its application to invertebrates, specifically biocontrol agents, is rather new and there is still a lack of information on breeding parameters of key traits. In this study, we address two important traits for biocontrol, i.e., the phytophagy and zoophagy of a population of the zoophytophagous predator Nesidiocoris tenuis. Here, we determine whether there is variation in these two traits and the proportion of that variation that has a genetic basis. Our results revealed the presence of genetic variation in both traits for this population. Genetic variation observed in zoophagy was larger than that found in phytophagy. These findings are relevant to the field of genetic improvement of biocontrol agents, since it reports quantitative values necessary for potential breeding programs. Moreover, our results suggest that if such variation is maintained in larger populations, it might be possible that selection for more zoophagous individuals could entail a reduction of the damages derived from its phytophagy. Furthermore, this study sheds light on genetic tools that could be applied to improve the biocontrol practice and, consequently, contribute to a more sustainable agriculture.

Abstract

Zoophytophagous predators provide biocontrol services in various major crops of modern horticulture due to the combination of its predatory capacity and the induction of plant defenses derived from its phytophagy. However, under certain conditions of prey scarcity, these natural enemies can inflict plant damage. Exploitation of genetic variation and subsequent selective breeding on foraging traits is a potential alternative to overcome this inconvenience. In this study, we quantified the genetic variation of phytophagy and zoophagy of Nesidiocoris tenuis (Reuter) (Hemiptera: Miridae), a zoophytophagous predator widely used in tomato crops to suppress key pests. We compared nine isofemale lines on their capacity to produce necrotic rings and wilting on tomato plants as a proxy for phytophagy, as well as their efficacy to prey on Ephestia kuehniella Zeller (Lepidoptera: Pyralidae) eggs, as a proxy for zoophagy. Differences between isofemale lines in phytophagy and zoophagy indicated a genetic basis. Variation found in the zoophagy levels was larger than that in phytophagy levels. Our results showed that there is a genetic basis for the variation observed in the feeding behavior of isofemale lines of N. tenuis, highlighting the potential importance of selective breeding for such traits of biocontrol interest.

1. Introduction

The importance of zoophytophagous species to suppress pests in agroecosystems has increased over the last decades [1,2,3,4,5,6,7,8]. However, the assessment of genetic variation on traits of biocontrol interest in these species is rather recent [9,10]. Dumont et al. [9] tested the hypothesis that zoophytophagous populations consist of a mix of specialized genotypes (i.e., zoophagous, phytophagous, and generalists) instead of only one highly plastic genotype. In this study, Dumont et al. [9] demonstrated genetic differences in the feeding behavior of Campylomma verbasci (Meyer) (Hemiptera: Miridae), specifically in the zoophagy of the two different prey species this zoophytophagous feeds upon in apple orchards. These results shed light on the possibility to explore and exploit intraspecific genetic variation of interesting biocontrol traits in commercially available zoophytophagous species.
Nesidiocoris tenuis (Reuter) (Hemiptera: Miridae) is a cosmopolitan zoophytophagous predator that is extensively used in tomato crops in the Mediterranean basin to control different key pests [6]. Its major contribution in the biocontrol programs in tomato is attributed to its efficacy against the ubiquitous whitefly Bemisia tabaci (Gennadius) (Hemiptera: Aleyrodidae) and the invasive South American pinworm Tuta absoluta (Meyrick) (Lepidoptera: Gelichiidae) [3,4,5,6,11,12,13,14,15]. However, its status as a biocontrol agent is sometimes controversial because of the damage it can inflict in plant tissues when the prey levels decrease [6,16,17,18,19,20]. The exploitation of the genetic variation in the feeding behavior of N. tenuis was suggested as a means to improve its predatory efficiency, while mitigating the detrimental effects derived from its phytophagy [10].
Most natural enemies currently used in augmentative biological control programs are selected based on differences between species (interspecific variation) to effectively control pests. Nevertheless, there is a growing interest in the exploitation of genetic differences in the traits of interest within species (intraspecific variation) of natural enemies [21,22,23,24,25]. This approach was applied before in predatory insects, predatory mites, and parasitoids, with successful selection on traits such as pesticide resistance, increased fecundity, host preference, sex ratio, and improved climatic tolerance [26,27,28,29]. However, only few of these examples went beyond laboratory or pilot tests, and most of them were not continued after a few years, despite their positive outcomes. Financial, technical, and legal limitations were deemed as likely causes preventing the development of genetic improvement in biocontrol agents [25,28]. Therefore, the current efforts are focused on the generation of knowledge and optimization of procedures that was missing for arthropods, to promote artificial selection on biocontrol agents [23,24,25].
A first step for selection to be feasible is the presence of variability in the target trait, but more relevant is the existence of a genetic basis for at least part of the variation observed in that trait [28,30]. Once the genetic variation is explored and confirmed, multiple genetic tools could be further applied to identify the gene(s) and the factors involved in their expression on a certain population, and to choose the optimal approach for artificial selection [21]. For instance, the recent sequencing of the genome of N. tenuis [31] is one of those tools that enables the genetic exploration of this species for improvement of its biocontrol traits.
In this study, we aimed to investigate whether there is genetic variation in two important traits of the feeding behavior of a wild population of N. tenuis, i.e., phytophagy and zoophagy, by using an isofemale line approach. Necrotic rings and wilting inflicted in plant tissue, as well as consumption of E. kuehniella eggs, were used as a proxy for phytophagy and zoophagy, respectively. We expected to find variation among isofemale lines for phytophagy and zoophagy, indicative of genetic variation for these traits. Our study was the first to investigate the genetic basis of the phytophagy and zoophagy of N. tenuis, and the results shed light on the potential to use the genetic variation in these two traits to enhance the biocontrol services of this zoophytophagous predator.

2. Materials and Methods

2.1. Isofemale Lines and Plants

Wild adults and nymphs of N. tenuis were collected with an aspirator from two outdoor tomato farms located in Peñíscola, Castellón (Spain) (Field-1: 40°23′39.33″ N/0°24′24.79″ E; Field-2: 40°22′44.5″ N/0°23′49.71″ E) (ca. 2 km distance between fields) in September of 2016. The tomato plants in these farms were grown organic and no previous releases of N. tenuis were done before the time of collecting, but wild N. tenuis was reported to appear in these crops every season. The province of Castellón is considered a transition zone between the two regions where mirid predators are used in tomato farms—the warmer Southern Spanish territories, where mostly N. tenuis is released in tomato crops for pest control, and the temperate Eastern Spanish territories, where Macrolophus pygmaeus (Rambur) (Hemiptera: Miridae) is the predominant species used in tomato crops for pest suppression [32]. Wild populations of N. tenuis were scarce during the season of 2016 and only a few insects (adults and nymphs) were captured (Field 1: n = 9, Field 2: n = 16), hence, it was necessary to mix them to secure the establishment of the laboratory colony with the maximum diversity available at the moment of collection. Individuals collected in both farms were brought to the laboratory, mixed, and placed in a plastic cage (30 × 30 × 30 cm) with green bean pods (Phaseolus vulgaris L.) and eggs of Ephestia kuehniella Zeller (Lepidoptera: Pyralidae) provided twice a week as oviposition substrate and food source, respectively. This colony was kept in the laboratory during five generations at 25 ± 2 °C, 50% ± 10% RH, and 14L:10D h photoperiod (1 generation~22 days at these experimental conditions). Individuals from the colony were allowed to randomly mate and increase the population numbers necessary to found the isofemale lines. After five generations in the colony, the isofemale lines were initiated as follows—one male and one virgin female, both less than three-days-old, were allowed to mate in a Petri dish with mesh on the lid for ventilation (90 mm on diameter), with an entire green bean pod (ca. 15 cm long) as oviposition substrate and E. kuehniella eggs ad libitum supplied twice a week until the female died. Fifteen isofemale lines were founded but only nine of them survived (extinct isofemale lines did not survive beyond generation three). Each bean pod bearing eggs laid by the founder females was then placed in an individual muslin cage (25 × 25 × 25 cm), with new bean pods and E. kuehniella eggs. Insects of the same isofemale line were allowed to mate randomly but the parents and progeny were kept separated at all times by removing the bean pods bearing the laid eggs twice a week and placing them in a new cage. E. kuehniella eggs were supplied twice a week as food source. The isofemale lines were kept at 25 ± 2 °C, 50% ± 10% RH, and 14L:10D h photoperiod. Frozen E. kuehniella eggs for all rearings and experiments were provided by Koppert Biological Systems (Almería, Spain).
Tomato plants cv Raf Supermarmande (Mascarell Seeds, Spain) used in this experiment were in vegetative stages V5 to V7 (ca. 30–40 cm height). Plants were grown in pots (8 × 8 × 8 cm) filled with soil and vermiculite (3:1) and watered every two days. Plants were kept in pest-free climatic chambers until the start of the experiment, at 25 ± 2 °C, 50% ± 10% RH, and 14L:10D h photoperiod. This cultivar was known to be susceptible to the feeding damage of N. tenuis, hence, it was selected for this study to allow for the visualization and measurement of the phytophagy parameters explained below.

2.2. Phytophagy Experiment

The isofemale line approach is convenient to study the genetic variation in traits of interest. It consists of the establishment of several strains or lines, each from a single mated female, and the quantification of the trait in several offspring produced by each female [33,34]. Considering that rearing and experimental conditions for all isofemale lines are identical, the variation observed between them for the mean values of the trait could be considered of genetic origin [30,35]. This experiment was carried out in generation 11, due to the limited availability of individuals in the earlier generations that prevented the attainment of the minimum of replicates necessary, and to secure homozygosity in the isofemale lines, which increases with the generations in the isofemale lines [36].
As a proxy for phytophagy, we quantified the number of necrotic rings and wilting percentage produced by ten adults of each isofemale line per replicate, on two types of leaves of a tomato plant. Adult insects used in this experiment were three-five days-old. The age of the experimental individuals was chosen to allow sufficient time for the females to mature, mate, and oviposit, in order to secure enough progeny and survival of the isofemale lines for the following zoophagy experiment (see below). The phytophagy parameters were evaluated in leaves attached to entire plants. During the experiment, the plants were placed in trays inside a pest-free climatic chamber and watered every two days. The space between plants in the trays was enough to avoid differences in development or leaf quality due to competition for light, as well as to reduce the possibility of plant injuries during manipulation of the plants and trays. Provided that the apical part of the tomato plant is preferred by N. tenuis [17,37], the two youngest fully developed leaves in the upper section of the plants were selected for this experiment, and classified according to its position from the apical bud—the young leaf was the closest to the apical bud and the old leaf was the second-to-last from the apical bud. The apical bud was not used to test for phytophagy because of (1) the heterogeneity in their size and structure and (2) limitations on the maximum number of individuals available in each isofemale line, at a given generation. Each leaf was enclosed in a muslin bag (15 × 21 cm) and ten adults of the corresponding isofemale line were placed inside the muslin bag without a supplementary food source or prey. The insects were allowed to feed for five days. The dead individuals were removed daily from the muslin bags to prevent necrophagy during this experiment, and mortality per isofemale line was recorded. Dead individuals were not replaced with new individuals. After the feeding period, the remaining insects were removed, and the level of phytophagy was evaluated. Necrotic rings visible in the petiole and rachis were recorded. For wilting evaluation, each leaflet (five leaflets per leaf, all of similar size) was assigned the percentage of wilting in a 20% of the total leaf surface.
This experiment was carried out in ten consecutive blocks (all with individuals from generation 11, after the start of the isofemale lines). In each block, all isofemale lines were included with a minimum of one replicate per isofemale line (except isofemale lines 5 and 10 in blocks 6 and 7, respectively) (Table S1). A replicate consisted of one leaf enclosed in a muslin bag with ten adults (five males and five females). A total of 240 replicates were used in this experiment, with the number of replicates tested per isofemale line ranging between 21–33. One tomato plant always contained two replicates, one on the young leaf and one on the old leaf, and replicates on the same plant never belonged to the same isofemale line to exclude any possible plant effect. Each block consisted of similar-aged adults (three-five days old) and plants of similar developmental stage, as described above. Similar-aged adults were obtained from the bean pods, which were replaced in the cages twice a week, as previously described. This experiment was carried out in a pest-free climatic chamber at 25 ± 2 °C, 50% ± 10% RH, and 14L:10D h photoperiod.

2.3. Zoophagy Experiment

In a separate experiment, we quantified the number of E. kuehniella eggs preyed upon by the adults of each isofemale line for 24 h, as a proxy for zoophagy. This experiment was carried out in generation 15 because of the decline in the number of individuals in all isofemale lines after the phytophagy experiment, in which most adults of each isofemale line were used to achieve enough replicates. Isofemale line 5 was excluded from the zoophagy experiment because the number of individuals were not enough for the minimum of replicates needed for this experiment. A total of 193 individuals were used in this experiment, with 22–26 individuals tested per isofemale line. For this, females and males of N. tenuis less than five-days-old were starved for 24 h, with a moist cotton plug for water supply. After the starvation period, the insects were placed individually in a Petri dish (55 mm on diameter), and E. kuehniella eggs (n = 120) were offered to each individual in a piece of sticky cardboard. Insects were allowed to feed for 24 h. After the feeding period, the N. tenuis adults were removed and the number of preyed eggs was counted with the help of a dissecting microscope. Experimental conditions were 25 ± 2 °C, 50% ± 10% RH, and 14L:10D h photoperiod.

2.4. Statistical Analysis

The variation for necrotic rings, wilting, and zoophagy was analyzed in two steps. For necrotic rings, we first fitted a linear mixed-effect model (LMM) on the square-root-transformed data to estimate the genetic variation between isofemale lines. In this model, ‘leaf type’ (young or old) and ‘mortality’ were entered as fixed effects, and ‘block’ and ‘line’ (9 isofemale lines) were entered as random effects. This model estimated the variance components by REML, which allowed for the estimation of the broad-sense heritability (H2) in isofemale lines [34,38]. To analyze possible differences in the number of necrotic rings between the isofemale lines, a second LMM was fitted with ‘block’ in the random structure and ‘leaf’, ‘mortality’, and ‘line’ in the fixed structure. ‘Line’ fitted as a fixed effect allowed for the comparison of the number or necrotic rings between the isofemale lines.
Similarly, wilting percentage was also analyzed following these two steps. First, genetic variation was estimated with an LMM fitted on arcsine-transformed data, with ‘leaf’ and ‘mortality’ as fixed effects, and ‘block’ and ‘line’ as random effects. The comparison of wilting percentages between isofemale lines was done by fitting a second LMM with ‘block’ as random effect and ‘leaf’, ‘mortality’, and ‘line’ as fixed effects. For zoophagy, genetic variation was estimated by fitting an LMM on square-root-transformed data, with ‘sex’ as fixed effect and ‘line’ as random effect. Comparison between isofemale lines was done after fitting a linear model on the square-root-transformed-data with ‘sex’ and ‘line’ as fixed effects. Model selection was done on the basis of the Akaike Information Criterion (AIC); models with the lowest AIC were selected as the best-fitted models [39] (Table 1). Significant fixed effects were followed by multiple comparison between the isofemale lines with Bonferroni correction (α = 0.05). Finally, Spearman Rank Correlation Analysis was used to estimate the correlations between zoophagy, necrotic rings, and wilting percentage within the isofemale lines. All statistical analyses were performed in R (version 3.6.1) [40].

2.5. Heritability

As an estimate of the genetic variance, the broad-sense heritability (H2) was calculated, as the ratio of the total genetic variance (VG) (i.e., additive, dominance, and epistatic) to the total phenotypic variance (VP) [38] (Table 2). The ratio VG/VP expresses the extent to which the phenotype of an individual is determined by its genotype, hence, it is also known as the degree of genetic determination [38]. For necrotic rings and wilting, VG was represented by between-line variance and VP was represented by the sum of between-line variance and environmental variance (i.e., block variance and residual variance). For zoophagy, VG was represented by between-line variance and VP was represented by the sum of between-line variance and within-line variance. Additionally, we calculated the coefficient of genetic variation (VG) for the phytophagy and zoophagy traits from the estimated genetic components, with the formula:
CV G   = 100 * V G   Χ ¯
where VG is the genetic variance and Χ ¯ is the trait mean. The coefficient of genetic variation (VG) is another parameter used as an indication of the ability of a population to respond to natural or artificial selection, i.e., the evolvability of a trait [41].

3. Results

3.1. Phytophagy

The number of necrotic rings was significantly different between the ‘old’ leaves and the ‘young’ leaves (F1221 = 17.86, p < 0.0001), with ‘young’ leaves showing more necrotic rings (2.1 ± 0.2) than ‘old’ leaves (1.4 ± 0.2). The number of necrotic rings inflicted on the tomato plants also differed across the isofemale lines (F8221 = 3.82, p = 0.0003). Isofemale line 14 inflicted the highest number of necrotic rings for both types of leaves, with an average of 2.9 ± 0.5 for ‘young’ leaves and 2.1 ± 0.4 for ‘old’ leaves. The isofemale line producing the least necrotic rings on both types of leaves was isofemale line 10, with an average of 1.5 ± 0.3 for ‘young’ leaves and 1.1 ± 0.2 for ‘old’ leaves (Figure 1). The broad-sense heritability for necrotic rings infliction was H2 = 0.16 (likelihood-ratio test: χ 1 2 = 7.74, p = 0.005) (Table 2).
For wilting percentage, significant differences were observed between leaf types (F1220 = 27.78, p < 0.0001). In the ‘young’ leaves, the percentage of wilting reached an average of 42.3 ± 5.9%, whereas in the ‘old’ leaves, the wilting average was 25.5 ± 5.5%. Differences were also observed between the isofemale lines (F8220 = 518, p < 0.0001). Isofemale line 13 produced the highest wilting proportion on both ‘young’ and ‘old’ leaves (80.3 ± 9.8 and 63.1 ± 13.9, respectively), whereas the lowest proportion of wilted leaves was produced by isofemale line 15, with 28.6 ± 12.2 for ‘young’ leaves and 14.4 ± 7.7 for ‘old’ leaves (Figure 2). Mortality showed a significant effect on the wilting percentage (F1220 = 15.96, p = 0.0001), with the highest observed mortality in isofemale line 8 (5.79 ± 0.35) and the lowest in isofemale line 15 (2.85 ± 0.36). The estimated broad-sense heritability for wilting was H2 = 0.18 (likelihood-ratio test: χ 1 2 = 7.45, p = 0.006) (Table 2).

3.2. Zoophagy

The consumption of E. kuehniella eggs in 24 h significantly differed between sexes (F1184 = 24.18; p < 0.0001). For females, isofemale line 15 showed the overall highest predation rate with 99.2 ± 5.0 eggs preyed in 24 h, whereas isofemale line 13 preyed the lowest rate with 44.3 ± 5.2 eggs (Figure 3A). In the case of males, the highest predation was also observed in isofemale line 15 (84.7 ± 5.4), whereas isofemale line 13 showed the lowest predation rate with 34.8 ± 5.1 eggs in 24 h (Figure 3B). The amount of E. kuehniella eggs preyed upon also differed across isofemale lines (F7184 = 14.45; p < 0.0001) (Figure 3A,B). Broad-sense heritability estimate for zoophagy was H2 = 0.37 (likelihood-ratio test: χ 1 2 = 57.57, p < 0.0001) (Table 2).
The number of necrotic rings was positively correlated with the wilting percentage (Spearman’s rho = 0.46, p < 0.0001) (Figure 4). Wilting percentage and zoophagy were negatively correlated (Spearman’s rho = −0.19, p = 0.0041) and there was no significant correlation between the necrotic rings and zoophagy (Spearman’s rho = −0.06, p = 0.3442).

4. Discussion

The presence of genetic variation in a trait is fundamental for selection processes to take place. In biocontrol agents, the existence of natural genetic variation in traits of interest, provides the opportunity to select for lower or higher values in those traits that could be useful in the biocontrol practice [21,24,25,28,29]. To the best of our knowledge, this is the first study to quantify the genetic variation in the feeding behavior of isofemale lines of N. tenuis. Our study adds to the growing body of literature reporting quantitative values of genetic variation, needed to enable successful genetic improvement of the biological control agents [29]. The phytophagy experiment showed that the ability of N. tenuis to produce necrotic rings and wilting on tomato plants differed across the isofemale lines and the leaf types. Similarly, differences were also observed for zoophagy across isofemale lines in their consumption of E. kuehniella eggs.
Necrotic rings in the stems and petioles of tomato plants are the most visible injuries produced by N. tenuis [6]. Our results showed that these injuries were more abundant in ‘young’ leaves than in ‘old’ ones. Similarly, wilting percentage on ‘young’ leaves was higher than that of ‘old’ leaves. This is consistent with previous studies that reported a higher number of necrotic rings in younger and softer plant tissues [37,42]. Thus, this suggest that the differences in the level of damage observed between leaf types are likely related to a gradient in tenderness or susceptibility of the leaf tissues. However, an experiment on the feeding behavior of the isofemale lines in different plant tissues is necessary to confirm this, since morphological differences (e.g., trichomes, exudates) could also influence the predator behavior, and thus the damage level. Interestingly, the phytophagous behavior of the isofemale lines was consistent across the two types of leaves for the two phytophagy parameters evaluated, i.e., isofemale lines inflicting more damage in ‘young’ leaves were also the isofemale lines inflicting more damage in ‘old’ leaves. Moreover, the positive correlation between necrotic rings and wilting also revealed consistency in the damage inflicted per isofemale line, with the isofemale lines inflicting more necrotic rings as the isofemale lines also cause more wilting, thus, reinforcing the presence of an isofemale line effect. Additionally, this positive correlation suggest that the occurrence of necrotic rings likely affects the transport of water and nutrients, thus, causing more wilting in tissues with higher number of necrotic rings.
Our results showed variability in the levels of necrotic rings and wilting percentage inflicted across the isofemale lines. However, the genetic component in both of these phytophagy parameters is rather limited, as suggested by the low H2 values. Besides the drawbacks commonly experienced by isofemale lines maintained for a number of generations in the laboratory, such as genetic drift, [36], other factors specific to zoophytophagous species can also explain low genetic variation in some of their traits. Castañé et al. [42] pointed at the complex interaction of physiological, behavioral, and morphological aspects of the insect, the host plant, and the environment that leads to the damage occurrence when zoophytophagous mirid predators are present.
For instance, as in many hemipterans, N. tenuis is a zoophytophagous insect that needs plant tissue for both feeding and oviposition [43]. Phytophagy is regarded as essential for extraoral digestion and survival of zoophytophagous species rather than facultative [42], and securing a favorable environment for their offspring is fundamental for several species [44], especially, when the eggs are inserted in the plant tissue, as is the case for N. tenuis. Thus, it is possible that the low genetic variation observed in the phytophagy-related traits is a trade-off resulting from selection acting on other related traits [45], such as reproduction. In addition, low heritability is consistent with strong selection pressure [46]. It is suggested that behavioral traits might be under the same type of selection as life history traits [47], whose heritability values are low often times. Thereby, the H2 values observed for phytophagy might be an indication of strong selection controlling this specific feeding strategy. Furthermore, genetic variation of species associated with cropping systems tends to be limited as a consequence of a homogeneous habitat (i.e., monocultures) that favors certain genotypes of the populations [48]. The individuals for our initial population were collected from tomato farms, where plant resources are homogeneous and readily available through the year. Hence, the individuals collected could be those genotypes already adapted to better exploit plant resources, thus, preventing the capture of a wider diversity for phytophagy traits. Nevertheless, the estimates of evolvability (CVG) for the phytophagy traits reveal that in the case of necrotic rings, the low H2 value could likely be the consequence of a larger environmental variance and not necessarily due to low genetic variance. Thus, some degree of response to selection might still be expected for the necrotic rings.
Zoophagy in N. tenuis is essential for its development [49,50]. In the present study, we found genetic variation for zoophagy among the N. tenuis isofemale lines. Larger differences between isofemale lines for this trait and the higher H2 values, suggest that a greater proportion of variation is due to variation in genotypes for zoophagy than in the phytophagy traits. This larger genetic variation is consistent with the conditions of constant fluctuations in prey densities and prey species faced by N. tenuis in cultivated systems. Other studies also argued the spatial and temporal changes in prey levels in the agricultural systems as an important cause for the genetic variation in other predatory invertebrates [9,51]. In addition, the larger variation and larger H2 values observed in this trait suggests that zoophagy is probably under less strong selection pressure [46], hence, allowing for faster responses to changing environments [51], such as those experienced in agroecosystems, in terms of prey. Interestingly, and opposite to the estimates for necrotic rings, the estimate of evolvability (CVG) for zoophagy is low, relative to a moderate value of H2. This is likely explained by a lower environmental variance relative to the genetic variance observed for this trait.
Previous studies with natural populations of N. tenuis showed that plant damage decreases when prey availability increases in tomato plants [52], and greenhouse experiments with commercial strains also showed a negative correlation between phytophagy and zoophagy [16,42]. In the present study, the correlation of phytophagous traits and zoophagy was negative, but it was significant only for the wilting percentage, not for the necrotic rings. However, there is a trend for the most zoophagous isofemale lines to be also the lines that inflict less damage. Further experiments with moving prey and other prey species in the plant would also be necessary to confirm whether this correlation is also maintained in more natural conditions. Interestingly, these negative correlations suggest that eventual selection for more zoophagous individuals in this population of N. tenuis could indeed entail a reduction in plant damage. However, in this study, N. tenuis did not have access to plant and prey simultaneously. A choice experiment would be necessary to confirm whether this increased zoophagy is indeed the result of diet specialization in certain isofemale lines (e.g., L-8 and L-15 zoophagy-specialized, and L-13 and L-14 phytophagy-specialized), or if it is due to individuals with increased voracity that can also perform well in absence/scarcity of prey. In the event that the increased zoophagy was due to diet specialization, breeding programs on these individuals could bring important benefits in terms of plant damage for the biocontrol practice. Nevertheless, such breeding attempts should also consider the potential drawback that zoophagy-specialized individuals might not survive periods of prey scarcity, which could mean an increase in the number of releases/introductions of this biocontrol agent in the crops.
The results of our study suggest an interesting potential of the genetic variation in the feeding behavior of N. tenuis, and of the isofemale lines approach, as a tool to be exploited in genetic improvement programs of biological control agents. Although the broad-sense heritability (H2) calculated on isofemale lines can sometimes lead to overestimations of the actual heritability in natural populations [36], the existence of a genetic component in feeding-related traits of a biocontrol agent is promising. The lower values of H2 and the smaller differences between isofemale lines observed in phytophagy, in addition to the diverse nature of the factors influencing its variation, suggest that this trait could be more challenging to target inbreeding programs. Although the evolvability (CVG) estimate observed for necrotic rings is still a good sign for potential selection against this trait and should be further investigated. Conversely, the larger variation observed in zoophagy represents a positive output for biocontrol improvement. The existence of isofemale lines showing higher predation rates could favor a decrease in the predator—prey ratio currently used in crops [10]. Hence, the use of fewer individuals of these “zoophagous” isofemale lines would allow a successful pest control, while reducing the exposure of crops to phytophagy and potential damage. It would be important to replicate these experiments with individuals collected in different environments and host plants, especially from non-agricultural settings, to increase the possibilities of capturing higher diversity of wild populations.

5. Conclusions

The presence of genetic variation in traits of biocontrol interest is fundamental for selection of improved biocontrol agents. Our study was the first to quantify the genetic variation of the feeding behavior of N. tenuis. Phytophagy-related traits might be more challenging to select against, due to the interaction of several factors, whereas the variation found for zoophagy-related traits is promising for the biocontrol practice. As such, our study adds to the growing body of literature reporting quantitative values of genetic variation, needed to enable the successful genetic improvement of biological control agents.

Supplementary Materials

The following are available online at https://www.mdpi.com/2075-4450/11/8/513/s1. Table S1: Number of replicates per line in each block and per leaf type tested in the phytophagy experiment.

Author Contributions

Conceptualization M.C.-R., A.U., M.P.-H., and B.A.P.; methodology M.C.-R.; validation A.U., M.P.-H., and B.A.P.; formal analysis M.C.-R. and B.A.P.; investigation M.C.-R.; resources A.U. and M.P.-H.; data curation M.C.-R. and B.A.P.; visualization M.C.-R., A.U., and M.P.-H.; supervision A.U. and M.P.-H.; project administration A.U. and M.P.-H.; funding acquisition A.U., M.P.-H., and B.A.P.; writing—original draft preparation M.C.-R.; writing—review and editing A.U., M.P.-H., and B.A.P. All authors have read and agreed to the published version of the manuscript.

Funding

This work was supported by the European Union’s Horizon 2020 research and innovation programme Marie Sklodowska-Curie, grant agreement No. 641456, the Spanish Ministry of Economy and Competitiveness MINECO (RTA2017-00073-00-00) and by the Conselleria d’Agricultura, Pesca i Alimentació de la Generalitat Valenciana. M.P.-H. was supported by a grant from INIA Spain (Subprogram DOC-INIA-CCAA).

Acknowledgments

The authors thank Miquel Alonso (IVIA) and María del Carmen Laurín Ferrer (Tragsa) for their technical assistance, Javier Calvo (Koppert Biological Systems, Spain) for supplying the insects, Bas Zwaan (WUR) and Eric Wajnberg (INRAE) for their input and discussion about the experimental design, and Elena Lázaro Hervás (IVIA) for her invaluable help on the statistical analysis.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Mcgregor, R.R.; Gillespie, D.R.; Quiring, D.M.J.; Foisy, M.R.J. Potential use of Dicyphus hesperus Knight (Heteroptera: Miridae) for biological control of pests of greenhouse tomatoes. Biol. Control 1999, 110, 104–110. [Google Scholar] [CrossRef]
  2. Alomar, O.; Riudavets, J.; Castañe, C. Macrolophus caliginosus in the biological control of Bemisia tabaci on greenhouse melons. Biol. Control 2006, 36, 154–162. [Google Scholar] [CrossRef]
  3. Calvo, F.J.; Bolckmans, K.; Belda, J.E. Release rate for a pre-plant application of Nesidiocoris tenuis for Bemisia tabaci control in tomato. BioControl 2012, 57, 809–817. [Google Scholar] [CrossRef]
  4. Urbaneja, A.; González-Cabrera, J.; Arnó, J.; Gabarra, R. Prospects for the biological control of Tuta absoluta in tomatoes of the Mediterranean basin. Pest Manag. Sci. 2012, 68, 1215–1222. [Google Scholar] [CrossRef] [PubMed]
  5. Zappalà, L.; Biondi, A.; Alma, A.; Al-Jboory, I.J.; Arnò, J.; Bayram, A.; Chailleux, A.; El-Arnaouty, A.; Gerling, D.; Guenaoui, Y.; et al. Natural enemies of the South American moth, Tuta absoluta, in Europe, North Africa and Middle East, and their potential use in pest control strategies. J. Pest Sci. 2013, 86, 635–647. [Google Scholar] [CrossRef]
  6. Pérez-Hedo, M.; Urbaneja, A. The zoophytophagous predator Nesidiocoris tenuis: A successful but controversial biocontrol agent in tomato crops. In Advances in Insect Control and Resistance Management; Horowitz, A.R., Ishaaya, I., Eds.; Springer: Cham, Switzerland, 2016; pp. 9–26. [Google Scholar]
  7. Pérez-Hedo, M.; Suay, R.; Alonso, M.; Ruocco, M.; Giorgini, M.; Poncet, C.; Urbaneja, A. Resilience and robustness of IPM in protected horticulture in the face of potential invasive pests. Crop Prot. 2017, 97, 19–127. [Google Scholar] [CrossRef]
  8. Van Lenteren, J.C.; Alomar, O.; Ravensberg, W.J.; Urbaneja, A. Biological control agents for control of pests in greenhouses. In Integrated Pest and Disease Management in Greenhouse Crops; Gullino, M.L., Nicot, P.C., Albajes, R., Eds.; Springer: Cham, Switzerland, 2020; pp. 409–439. [Google Scholar]
  9. Dumont, F.; Lucas, E.; Réale, D. Evidence of genetic basis of zoophagy and nymphal developmental time in isogroup lines of the zoophytophagous mullein bug, Campylomma verbasci. BioControl 2016, 61, 425–435. [Google Scholar] [CrossRef]
  10. Dumont, F.; Aubry, O.; Lucas, E. From Evolutionary aspects of zoophytophagy to biological control. Front. Ecol. Evol. 2018, 6, 221. [Google Scholar] [CrossRef] [Green Version]
  11. Calvo, J.; Urbaneja, A. Nesidiocoris tenuis un aliado para el control biológico de mosca blanca. Hortic. Int. 2004, 44, 20–25. [Google Scholar] [CrossRef]
  12. Desneux, N.; Wajnberg, E.; Wyckhuys, K.A.G.; Burgio, G.; Arpaia, S.; Narváez-Vasquez, C.A.; González-Cabrera, J.; Ruescas, D.C.; Tabone, E.; Frandon, J.; et al. Biological invasion of European tomato crops by Tuta absoluta: Ecology, geographic expansion and prospects for biological control. J. Pest Sci. 2010, 83, 197–215. [Google Scholar] [CrossRef]
  13. Cabello, T.; Gallego, J.R.; Fernandez, F.J.; Gamez, M.; Vila, E.; Del Pino, M.; Hernandez-Suarez, E. Biological control strategies for the South American Tomato Moth (Lepidoptera: Gelechiidae) in greenhouse tomatoes. J. Econ. Entomol. 2013, 105, 2085–2096. [Google Scholar] [CrossRef] [PubMed]
  14. Mollá, O.; Biondi, A.; Alonso-Valiente, M.; Urbaneja, A. A comparative life history study of two mirid bugs preying on Tuta absoluta and Ephestia kuehniella eggs on tomato crops: Implications for biological control. BioControl 2014, 59, 175–183. [Google Scholar] [CrossRef]
  15. Sanchez, J.A.; La-Spina, M.; Lacasa, A. Numerical response of Nesidiocoris tenuis (Hemiptera: Miridae) preying on Tuta absoluta (Lepidoptera: Gelechiidae) in tomato crops. Eur. J. Entomol. 2014, 111, 387–395. [Google Scholar] [CrossRef] [Green Version]
  16. Calvo, J.; Bolckmans, K.; Stansly, P.A.; Urbaneja, A. Predation by Nesidiocoris tenuis on Bemisia tabaci and injury to tomato. BioControl 2009, 54, 237–246. [Google Scholar] [CrossRef]
  17. Arnó, J.; Castañé, C.; Riudavets, J.; Gabarra, R. Risk of damage to tomato crops by the generalist zoophytophagous predator Nesidiocoris tenuis (Reuter) (Hemiptera: Miridae). Bull. Entomol. Res. 2010, 100, 105–115. [Google Scholar] [CrossRef]
  18. Arnó, J.; Castañé, C.; Riudavets, J.; Roig, J.; Gabarra, R. Characterization of damage to tomato plants produced by the zoophytophagous predator Nesidiocoris tenuis. IOBC/ WPRS Bull 2006, 29, 249–254. [Google Scholar]
  19. Sánchez, J.A.; Lacasa, A. Impact of the zoophytophagous plant bug Nesidiocoris tenuis (Heteroptera: Miridae) on tomato yield. J. Econ. Entomol. 2008, 101, 1864–1870. [Google Scholar] [CrossRef]
  20. Cano, M.; Vila, E.; Janssen, D.; Bretones, G.; Salvador, E.; Lara, L.; Tellez, M.M. Selection of refuges for Nesidiocoris tenuis (Het.: Miridae) and Orius laevigatus (Het.: Anthocoridae): Virus reservoir risk assessment. IOBC/wprs Bull 2009, 49, 281–286. [Google Scholar]
  21. Leung, K.; Ras, E.; Ferguson, K.B.; Ariëns, S.; Babendreier, D.B.; Bijma, P.; Bourtzis, K.; Brodeur, J.; Bruins, M.; Centurión, A.; et al. Next-generation biological control: The need for integrating genetics and genomics. Biol. Rev. 2020. [Google Scholar] [CrossRef]
  22. Bielza, P.; Balanza, V.; Cifuentes, D.; Mendoza, J.E. Challenges facing arthropod biological control: Identifying traits for genetic improvement of predators in protected crops. Pest Manag. Sci. 2020. [Google Scholar] [CrossRef]
  23. Le Hesran, S.; Ras, E.; Wajnberg, E.; Beukeboom, L.W. Next generation biological control—An introduction. Entomol. Exp. Appl. 2019, 167, 579–583. [Google Scholar] [CrossRef] [Green Version]
  24. Kruitwagen, A.; Beukeboom, L.W.; Wertheim, B. Optimization of native biocontrol agents, with parasitoids of the invasive pest Drosophila suzukii as an example. Evol. Appl. 2018, 11, 1473–1497. [Google Scholar] [CrossRef] [PubMed]
  25. Lommen, S.T.E.; de Jong, P.W.; Pannebakker, B.A. It is time to bridge the gap between exploring and exploiting: Prospects for utilizing intraspecific genetic variation to optimize arthropods for augmentative pest control—A review. Entomol. Exp. Appl. 2017, 162, 108–123. [Google Scholar] [CrossRef]
  26. Hoy, M.A. Use of genetic improvement in biological control. Agric. Ecosyst. Environ. 1986, 15, 109–119. [Google Scholar] [CrossRef]
  27. Balanza, V.; Mendoza, J.E.; Bielza, P. Variation in susceptibility and selection for resistance to imidacloprid and thiamethoxam in Mediterranean populations of Orius laevigatus. Entomol. Exp. Appl. 2019, 626–635. [Google Scholar] [CrossRef] [Green Version]
  28. Lirakis, M.; Magalhães, S. Does experimental evolution produce better biological control agents? A critical review of the evidence. Entomol. Exp. Appl. 2019, 167, 584–597. [Google Scholar] [CrossRef] [Green Version]
  29. Ferguson, K.B.; Chattington, S.R.; Plouvier, W.N.; Pannebakker, B.A. Genetic variation of traits in natural enemies relevant for biological control: A systematic review. Preprints 2020. [Google Scholar] [CrossRef]
  30. Beukeboom, L.W.; Zwaan, B.J. Genetics. In Insects as Natural Enemies; Jervis, M., Ed.; Springer: Dordrecht, The Netherlands, 2005; pp. 167–218. [Google Scholar]
  31. Ferguson, K.B.; Visser, S.; Dalíková, M.; Provazníková, I.; Urbaneja, A.; Pérez-Hedo, M.; Marec, F.; Werren, J.H.; Zwaan, B.J.; Pannebakker, B.A.; et al. Jekyll or Hyde? The genome (and more) of Nesidiocoris tenuis, a zoophytophagous predatory bug that is both a biological control agent and a pest. BioRxiv 2020. [Google Scholar] [CrossRef] [Green Version]
  32. Urbaneja, A.; Instituto Valenciano de Investigaciones Agrarias, Moncada, Valencia, Spain. Personal communication, 2016.
  33. Parsons, P.A. Isofemale strains and evolutionary strategies in natural populations. In Evolutionary Biology; Hecht, M.K., Steere, W.C., Wallace, B., Eds.; Springer: Boston, MA, USA, 1980; Volume 113, pp. 175–217. [Google Scholar]
  34. Wajnberg, E. Measuring genetic variation in natural enemies used for biological control. In Genetics, Eolution and Biological Control; Ehler, L.E., Sforza, R., Mateille, T., Eds.; CABI Publishing: Oxon, UK, 2004; pp. 19–37. [Google Scholar]
  35. David, J.R.; Gibert, P.; Legout, H.; Pétavy, G.; Capy, P.; Moreteau, B. Isofemale lines in Drosophila: An empirical approach to quantitative trait analysis in natural populations. Heredity 2005, 94, 3–12. [Google Scholar] [CrossRef]
  36. Hoffmann, A.A.; Parsons, P.A. The analysis of quantitative variation in natural populations with isofemale strains. Genet. Sel. Evol. 1988, 1, 87–98. [Google Scholar] [CrossRef]
  37. Perdikis, D.; Lucas, E.; Garantonakis, N.; Giatropoulos, A.; Kitsis, P.; Maselou, D.; Panagakis, S.; Paraskevopoulos, A.; Lykouressis, D.; Fantinou, A. Intraguild predation and sublethal interactions between two zoophytophagous mirids, Macrolophus pygmaeus and Nesidiocoris tenuis. Biol. Control 2014, 70, 35–41. [Google Scholar] [CrossRef]
  38. Falconer, D.S.; Mackay, T.F. Introduction to Quantitative Genetics; Addison Wesley Longman Limited: Essex, UK, 1996. [Google Scholar]
  39. Bolker, B.M.; Brooks, M.E.; Clark, C.J.; Geange, S.W.; Poulsen, J.R.; Stevens, M.H.H.; White, J.S.S. Generalized linear mixed models: A practical guide for ecology and evolution. Trends Ecol. Evol. 2009, 24, 127–135. [Google Scholar] [CrossRef] [PubMed]
  40. R Core Team. R: A Language and Environment for Statistical Computing; R Foundation for Statistical Computing: Vienna, Austria, 2009. [Google Scholar]
  41. Houle, D. Comparing evolvability and variability of quantitative traits. Genetics 1992, 130, 195–204. [Google Scholar] [PubMed]
  42. Castañé, C.; Arnó, J.; Gabarra, R.; Alomar, O. Plant damage to vegetable crops by zoophytophagous mirid predators. Biol. Control 2011, 59, 22–29. [Google Scholar] [CrossRef]
  43. Wheeler, A.G. Biology of the Plant Bugs (Hemiptera: Miridae): Pests, Predators, Opportunists; Cornell University Press: Ithaca, NY, USA, 2001. [Google Scholar]
  44. Thompson, J.N.; Pellmyr, O. Evolution of oviposition behavior and host preference in Lepidoptera. Annu. Rev. Entomol. 1991, 36, 65–89. [Google Scholar] [CrossRef]
  45. Hedrick, A.V.; Riechert, S.E. Genetically-based variation between two spider populations in foraging behavior. Oecologia 1989, 80, 533–539. [Google Scholar] [CrossRef]
  46. Merilä, J.; Sheldon, B.C.; Kruuk, L.E.B. Explaining stasis: Microevolutionary studies in natural populations. Genetica 2001, 112–113, 199–222. [Google Scholar] [CrossRef]
  47. Mousseau, T.A.; Roff, D.A. Natural selection and the heritability of fitness components. Heredity 1987, 59, 181–197. [Google Scholar] [CrossRef] [Green Version]
  48. Mitter, C.; Futuyma, D.J. An evolutionary–genetic view of host-plant utilization by insects. In Variable Plants and Herbivores in Natural and Managed Systems; Denno, R.F., McClure, M.S., Eds.; Academic Press: New York, NY, USA, 1983; pp. 427–459. [Google Scholar]
  49. Urbaneja, A.; Tapia, G.; Stansly, P. Influence of host plant and prey availability on developmental time and surviorship of Nesidiocoris tenius (Het.: Miridae). Biocontrol Sci. Technol. 2005, 15, 513–518. [Google Scholar] [CrossRef]
  50. De Puysseleyr, V.; De Man, S.; Höfte, M.; De Clercq, P. Plantless rearing of the zoophytophagous bug Nesidiocoris tenuis. BioControl 2013, 58, 205–213. [Google Scholar] [CrossRef]
  51. Nachappa, P.; Margolies, D.C.; Nechols, J.R.; Morgan, T.J. Response of a complex foraging phenotype to artificial selection on its component traits. Evol. Ecol. 2010, 24, 631–655. [Google Scholar] [CrossRef]
  52. Sánchez, J.A. Zoophytophagy in the plantbug Nesidiocoris tenuis. Agric. For. Entomol. 2008, 10, 75–80. [Google Scholar] [CrossRef]
Figure 1. Average necrotic rings inflicted by N. tenuis on tomato plants. (A) Average necrotic rings in ‘young’ leaves, (B) Average necrotic rings in ‘old’ leaves. Bars sharing letters are not significantly different; error bars represent SE.
Figure 1. Average necrotic rings inflicted by N. tenuis on tomato plants. (A) Average necrotic rings in ‘young’ leaves, (B) Average necrotic rings in ‘old’ leaves. Bars sharing letters are not significantly different; error bars represent SE.
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Figure 2. Average wilting percentages inflicted by N. tenuis on tomato plants. (A) Average wilting percentage in ‘young’ leaves, (B) Average wilting percentage in ‘old’ leaves. Bars sharing letters are not significantly different; error bars represent SE.
Figure 2. Average wilting percentages inflicted by N. tenuis on tomato plants. (A) Average wilting percentage in ‘young’ leaves, (B) Average wilting percentage in ‘old’ leaves. Bars sharing letters are not significantly different; error bars represent SE.
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Figure 3. Average E. kuehniella eggs preyed by N. tenuis in 24 h. (A) Average E. kuehniella eggs preyed by N. tenuis females (B) Average E. kuehniella eggs preyed by N. tenuis males. Bars sharing letters are not significantly different; error bars represent SE.
Figure 3. Average E. kuehniella eggs preyed by N. tenuis in 24 h. (A) Average E. kuehniella eggs preyed by N. tenuis females (B) Average E. kuehniella eggs preyed by N. tenuis males. Bars sharing letters are not significantly different; error bars represent SE.
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Figure 4. Correlation between wilting percentage and necrotic rings, and necrotic rings and zoophagy on E. kuehniella eggs, and wilting percentage and zoophagy on E. kuehniella eggs by N. tenuis on tomato leaves. Numbers represent the isofemale lines ID.
Figure 4. Correlation between wilting percentage and necrotic rings, and necrotic rings and zoophagy on E. kuehniella eggs, and wilting percentage and zoophagy on E. kuehniella eggs by N. tenuis on tomato leaves. Numbers represent the isofemale lines ID.
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Table 1. Akaike Information Criterion (AIC) for different linear mixed-effect models (LMM) for number of necrotic rings and wilting percentage inflicted on tomato plants (n = 240 replicates from 9 isofemale lines) and zoophagy (i.e., consumption of E. kuehniella eggs in 24 h) (n = 193 individuals from 8 isofemale lines) by N. tenuis adults. Values in bold indicate the model selected based on the lowest AIC.
Table 1. Akaike Information Criterion (AIC) for different linear mixed-effect models (LMM) for number of necrotic rings and wilting percentage inflicted on tomato plants (n = 240 replicates from 9 isofemale lines) and zoophagy (i.e., consumption of E. kuehniella eggs in 24 h) (n = 193 individuals from 8 isofemale lines) by N. tenuis adults. Values in bold indicate the model selected based on the lowest AIC.
Fixed Effects Random Effects Akaike Information Criterion (AIC)
Necrotic RingsWiltingZoophagy
Leaf + MortalityBlock + Line457.21304.56
Leaf + MortalityLine493.52314.91
Leaf + MortalityBlock 463.03310.01
Leaf Block + Line451.19308.96
MortalityBlock + Line468.64321.92
SexLine 714.31
Sex 769.89
Table 2. Estimates of the means and standard errors (SE), genetic variation (VG), environmental variation (VE), broad-sense heritability (H2), and coefficient of genetic variation (CVG) for infliction of necrotic rings and wilting on tomato leaves, and zoophagy (i.e., consumption of E. kuehniella eggs in 24 h) by N. tenuis. Estimates are based on the squared-root-transformed data for necrotic rings and zoophagy, and arcsine-transformed data for wilting.
Table 2. Estimates of the means and standard errors (SE), genetic variation (VG), environmental variation (VE), broad-sense heritability (H2), and coefficient of genetic variation (CVG) for infliction of necrotic rings and wilting on tomato leaves, and zoophagy (i.e., consumption of E. kuehniella eggs in 24 h) by N. tenuis. Estimates are based on the squared-root-transformed data for necrotic rings and zoophagy, and arcsine-transformed data for wilting.
Parameter nMean ± SE *VGVEH2CVG (%)
Necrotic rings2401.177 ± 0.0440.0700.4440.1622.54
Wilting2401.254 ± 0.0320.0390.2170.1815.77
Zoophagy1937.961 ± 0.1311.1903.2310.3713.70
* Units: necrotic rings (number on leaves), wilting (percentage of leaf surface), and zoophagy (eggs of E. kuehniella consumed).

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Chinchilla-Ramírez, M.; Pérez-Hedo, M.; Pannebakker, B.A.; Urbaneja, A. Genetic Variation in the Feeding Behavior of Isofemale Lines of Nesidiocoris tenuis. Insects 2020, 11, 513. https://doi.org/10.3390/insects11080513

AMA Style

Chinchilla-Ramírez M, Pérez-Hedo M, Pannebakker BA, Urbaneja A. Genetic Variation in the Feeding Behavior of Isofemale Lines of Nesidiocoris tenuis. Insects. 2020; 11(8):513. https://doi.org/10.3390/insects11080513

Chicago/Turabian Style

Chinchilla-Ramírez, Milena, Meritxell Pérez-Hedo, Bart A. Pannebakker, and Alberto Urbaneja. 2020. "Genetic Variation in the Feeding Behavior of Isofemale Lines of Nesidiocoris tenuis" Insects 11, no. 8: 513. https://doi.org/10.3390/insects11080513

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