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Article

Intraguild Predation of Hippodamia variegata on Aphid Mummies in Cotton Field

by
Shuying Dou
1,2,
Bing Liu
2,
Yangtian Liu
2,
Jianping Zhang
1,* and
Yanhui Lu
2,3,*
1
Xinjiang Production and Construction Corps Key Laboratory of Special Fruits and Vegetables Cultivation Physiology and Germplasm Resources Utilization/Key Laboratory at Universities of Xinjiang Uygur Autonomous Region for Oasis Agricultural Pest Management and Plant Protection Resources Utilization, College of Agriculture, Shihezi University, Shihezi 832003, China
2
State Key Laboratory for Biology of Plant Diseases and Insect Pests, Institute of Plant Protection, Chinese Academy of Agricultural Sciences, Beijing 100193, China
3
Western Agricultural Research Center, Chinese Academy of Agricultural Sciences, Changji 831100, China
*
Authors to whom correspondence should be addressed.
Insects 2023, 14(1), 81; https://doi.org/10.3390/insects14010081
Submission received: 8 December 2022 / Revised: 6 January 2023 / Accepted: 11 January 2023 / Published: 13 January 2023
(This article belongs to the Section Insect Pest and Vector Management)
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Abstract

:

Simple Summary

When there are multiple natural enemies in the same ecosystem, intraguild predation between natural enemies will affect the population dynamics of target organisms and the effectiveness of biological control. It is necessary to study this relationship in depth to enhance the function of biological control. Hippodamia variegata (Goeze) and parasitoids are two types of dominant natural enemies of the cotton aphid Aphis gossypii Glover in Xinjiang, China. Among them, the ladybeetle preys on common aphids as well as parasitoids. This study measured the feeding choices of H. variegata towards mummies with different densities of A. gossypii. Meanwhile, investigation and sampling in the cotton field were conducted from 2017 to 2019. The predation of H. variegata individuals on aphids and mummies was detected using diagnostic PCR. The results showed that H. variegata had no obvious feeding preference towards live aphids and mummies, and preferred denser prey. The molecular detection results show that A. gossypii was the main prey source and medium of consumption of parasitoids for the ladybeetle. H. variegata had strong trophic links to both parasitoids and aphids. The above information is crucial for evaluating the pest control ability of H. variegata more comprehensively and strengthening the strategies for the biological control of aphids.

Abstract

Intraguild predation among arthropod predators in agricultural ecosystems may have a negative impact on biological control. At present, there are few direct reports on trophic relationships among participants of predation in field groups. In this study, we measured the feeding choices of Hippodamia variegata (Goeze) towards mummies with different densities of Aphis gossypii Glover. The dynamics of the occurrence of mummies in the cotton field were investigated over 2017–2019. Singleplex PCR and multiplex PCR were used to detect the predation of 2090 H. variegata individuals on aphids and mummies in Xinjiang cotton field, which revealed the intraguild predation frequency between H. variegata and various parasitoids. There was no obvious feeding preference of H. variegata towards live aphids or mummies, which mainly depended on the relative density of prey. Among the four species of aphids detected in H. variegata, A. gossypii had a high detection rate and was the main prey source of the ladybeetle in the cotton filed. Mostly, ladybeetles consumed parasitoids through mummies, with 6.39% directly feeding on adult parasitoids. H. variegata had strong trophic links to both parasitoids and aphids. We established a food web of aphids–primary parasitoids–hyperparasitoids–H. variegata, which can be used to evaluate the pest control ability of H. variegata from a new perspective.

1. Introduction

Intraguild predation (IGP), which exists widely in ecosystems, refers to the existence of both competition and predation or parasitism among species of the same trophic level, and can be understood as the mutual predation and parasitism among different species of natural enemies of target pests in an agricultural ecosystem [1,2,3]. IGP is common between generalist predators and parasitoids that share common prey. Parasitoids lay eggs in the host pests, and predators usually prey on the parasitoids developing in the host pests [4,5,6]. Such asymmetric IGP may negatively affect the population and dynamics of parasitoids, and even the biological control of pests. Therefore, the study of the actual occurrence of IGP among natural enemies is the basis for the improvement of the biological control effect in the field.
Among the natural enemies of aphids, it is common for ladybeetles to prey on parasitoids, which grow in the host until adult emergence. During this process, the host aphid gradually turns into a mummy, which is easy to be consumed by ladybeetles. Evidence for the occurrence of IGP usually comes from direct observation or feeding selection experiments [5,6,7], but it is difficult to disentangle the relationships between different trophic levels of species when the food web contains multiple arthropods. Therefore, molecular methods based on diagnostic PCR technology have been widely used to detect aphid–parasitoid, aphid–predator and parasitoid–predator interactions [8,9,10,11]. A multiplex system allows the amplification of more than one targeted DNA fragment through a combination of primer pairs [12,13,14]. However, few studies have tracked complete trophic interactions and are limited to aphid–parasitoid or aphid–predator interactions.
With the succession of cotton pests in Xinjiang, aphids have become a major pest affecting cotton yield in recent years [15]. The rampant rise of Aphis gossypii Glover and other aphids has caused a serious loss of cotton yield [16]. Ladybeetles and parasitoids are dominant species in the natural enemy community of aphids in local cotton fields [17]. The predatory ladybeetle community mainly includes Hippodamia variegata (Goeze), Propylaea quatuordecimpunctata (Linnaeus), Oenopia conglobata (Linnaeus), Coccinella tredecimpunctata Linnaeus, and Stethorus punctillum Weise. Survey results of field population density showed that H. variegata was abundant in cotton fields in many areas of Xinjiang [18,19,20], and was a dominant predator [21,22]. Regarding aphid parasitoids in the cotton fields of Xinjiang, the population dynamics and parasitism rate of aphids have been investigated and the composition of the aphid parasitoid community has been determined (65% primary parasitoids, 35% hyperparasitoids). Among the four primary parasitoid species, the proportion of Binodoxys communis (Gahan) accounted for 95.19% [23]. However, up to now, there have been no reports of predation between H. variegata and aphid parasitoids.
In a previous study, a multiplex PCR detection system of common aphids, primary parasitoids and hyperparasitoids from a cotton ecosystem in Xinjiang was successfully constructed and applied to the identification of parasitoids within mummies collected in cotton fields [24]. In the present study, food webs of aphids–primary parasitoids–hyperparasitoids–H. variegata in the cotton fields of Korla, Xinjiang, were constructed by using the above detection system in combination with field investigation and feeding selection. Firstly, in the laboratory, we compared the effect of aphid density on IGP between H. variegata and mummies under three different aphid densities. Secondly, we investigated and recorded the population dynamics of mummies in the cotton fields of Korla. Finally, multiplex PCR was used to detect the predation frequency of ladybeetles on various aphids, primary parasitoids and hyperparasitoids. Quantitative food webs of aphids–primary parasitoids–hyperparasitoids–H. variegata were constructed, and the relative abundance of different prey at the same trophic level was evaluated. This study can help in better understanding the trophic relationships among ladybeetles, parasitoids and aphids. With these data, we can devise better plans to use both natural enemies together to control aphids.

2. Materials and Methods

2.1. Insect Rearing

A. gossypii, B. communis and H. variegata were collected from cotton fields at the Korla Experimental Station, Chinese Academy of Agricultural Sciences (CAAS; 41.75° N, 85.81° E). Next, they were reared at the Langfang Experimental Station, Chinese Academy of Agricultural Sciences (CAAS; 39.51° N, 116.61° E) (Langfang, Hebei Province). A. gossypii was reared on young cotton leaves and maintained within screened cages (55 × 35 × 50 cm). H. variegata was fed on Myzus persicae (Sulzer) in plastic containers (diameter: 8 cm; height: 11.5 cm). B. communis was provided with 10% honey in plexiglass rearing cages (30 × 30 × 25 cm), using A. gossypii as the host. After the population had stabilized (about 2 weeks), these insects were used for experiments.

2.2. Feeding Selection

H. variegata adults, 0–24 h after eclosion, were starved for 12 h (water provided) in a Petri dish (diameter: 9 cm; height: 2 cm). Ten newly formed mummies were gently selected with a brush from the plexiglass rearing cages and placed on a new Petri dish that was already covered with a cotton leaf. Next, 0, 10 or 100 3rd-4th-instar A. gossypii nymphs were added to the Petri dish. The aphids and mummies were randomly distributed. Each Petri dish was connected with a ladybeetle that had been hungry and was wrapped with a sealing film to prevent aphids from climbing out. The sealing film was pierced with an insect needle for air permeability. After feeding for 4 h, the ladybeetles were removed, and the number of aphids and mummies was recorded. Each treatment was replicated 15 times. All of the tests were completed within a controlled climate chamber (RXZ500D, Ningbo Jiangnan Instrument Factory, Ningbo, China) at 26 ± 1 °C, 70 ± 5% RH and 16:8 h (L:D) photoperiod.

2.3. Population Dynamics Investigation and Sample Collection

The field work was carried out on extensively planted cotton fields in Korla, Xinjiang Uygur Autonomous Region. Three monocropping cotton plots with the same growth stage, area and management were selected. From 2017 to 2019, we visually assessed abundance levels of mummified aphids on 50 randomly chosen plants per plot. From June to August of every year, sampling was conducted at seven-day intervals with a population survey. About 30 H. variegata adults were collected per plot on each sampling date. Meanwhile, nontarget arthropods (Table S1) were collected for cross-reactivity tests. All samples were individualized in 1.5 mL centrifuge tubes (Axygen, Union City, CA, USA) and immediately stored in 95% ethanol at −20 °C until DNA extraction. Neither insecticide nor herbicide was used on the cotton fields.

2.4. Molecular Detection

DNA extraction of both H. variegata adults and nontarget arthropods was performed as follows. After cleaning the body surface with ddH2O, the ladybeetles collected above were transferred to a new 1.5 mL centrifuge tube individually with tweezers. The tweezers should be soaked in anhydrous ethanol and burned on an alcohol lamp each time, avoiding cross-contamination between samples. The centrifuge tube was placed in liquid nitrogen and cryogenically frozen for 2 min. Next, the whole sample was ground to powder and placed at room temperature. DNA extraction was carried out using a TIANapm Genomic DNA Kit (TIANGEN, Beijing, China) following the manufacturer’s instructions. Finally, 50 μL TE buffer was added for elution, and the DNA products were stored at −20 °C.
Three multiplex PCR diagnostic systems and one singleplex PCR system were developed and used for the rapid and accurate identification of four aphid, four parasitoid and seven hyperparasitoid species in Xinjiang cotton fields. The target species and corresponding band sizes [24] are shown in Table 1.
DNA samples of H. variegata extracted above were amplified following the procedures described in Li et al. [24]. The negative controls were ddH2O and H. variegata adults which were starved for 24 h, while the positive controls were target insects. A set of DNA samples from nontarget species from the Korla cotton fields (Table S1) were analyzed to test the specificity of the system.
Amplified DNA fragments were separated on 2% agarose gels and visualized using a gel imaging system (UVITEC Essential V6, Cambridge, UK).

2.5. Data Analysis

Under different densities of A. gossypii, the differences in consumption of mummies were compared via one-way ANOVA, and then multiple comparisons were conducted with Tukey’s HSD test at the 0.05 level. The difference in consumption of aphids was analyzed using a t-test. In particular, the difference in consumption between aphids and mummies was explored using a t-test when they had the same density (10:10). All the data were statistically processed using Excel 2016 and SPSS25.0. The food web diagram was drawn using the “Igraph” package of R 4.0.5 soft, and the others were drawn using Graphpad Prism 8 software.

3. Results

3.1. Feeding Selection of Live and Mummified A. gossypii by H. variegata

The experimental results showed that, despite the change in density of A. gossypii, H. variegata preyed on the mummies (Figure 1). As the aphid density increased, mummy consumption by H. variegata clearly decreased (F = 12.22; df = 2, 22; p < 0.001). Compared to the control with no aphids, the predation of mummies decreased by 20.17% and 53.78% in the other two treatments (10 aphids or 100 aphids, respectively). When the density of aphids increased from 10 to 100 aphids per dish, there was a significant increase in the number of consumed aphids (t = −11.77, df = 14.56, p < 0.001). However, there was no significant difference in consumption between the aphids and mummies when they had the same density (t = −1.53, df = 28, p = 0.139).

3.2. Dynamics of Mummies in the Cotton Field

Across the three study years (Figure 2), the dynamics of the mummy population recorded in the cotton fields were basically consistent. The mummies appeared on cotton seedlings in late June, with the number increasing gradually and peaking in early July. There was a secondary peak in late July, and then the mummy population decreased, eventually disappearing. However, the density of the mummies varied greatly over the 3 years (2017: 111.67 ± 36.67; 2018: 1463.33 ± 132.77; 2019: 189 ± 103.59 individuals per 50 plants at the peak).

3.3. Molecular Detection of Filed-Collected H. variegata

3.3.1. Detection Rate of Aphids, Primary Parasitoids and Hyperparasitoids

The three multiplex PCR detection systems and singleplex PCR detection system could successfully amplify the DNA of the corresponding target prey with high specificity (Figures S1–S4). A total of 2090 ladybeetles collected in the Korla cotton fields from 2017 to 2019 were detected using the above system, and 398 of them were negative to all detection targets (2017: 255; 2018: 71; 2019: 72 individuals). DNA fragments of aphids, primary parasitoids and hyperparasitoids were detected in all three years. In terms of the detection frequency of different groups, among the 2090 samples, aphids were detected 1713 times, followed by primary parasitoids 933 times and hyperparasitoids only 92 times (Table 2).
Four aphid species in cMP1 were detected in the ladybeetle samples (Acyrthosiphon gossypii Mordviiko, except in 2017). A. gossypii was the most abundant species, accounting for more than 90% of the total aphids detected (Figure 3A). Through cMP2, B. communis was detected in the largest proportion of samples, which was much higher than the proportion of Trioxys asiaticus Telenga, Lysiphlebus fabarum (Marshall) and Praon barbatum Mackauer over the 3 years. The four primary parasitoid species were detected in 2019, while only two of the primary parasitoid species (2017: B. communis and L. fabarum; 2018: B. communis and T. asiaticus) were detected in 2017 and 2018 (Figure 3B). Seven hyperparasitoid species contained in cMP3 and cSP1 had also been detected, but at a lower detection rate. Syrphophagus spp. (three species: Syrphophagus aphidivorus, Syrphophagus sp., Syrphophagus taeniatus) dominated the seven hyperparasitoid species, varying between 54.55% and 67.61%. The proportions of the remaining species from high to low were Pachyneuron aphidis (Bouché), Alloxysta sp. and Dendrocerus laticeps (Hedicke) (Figure 3C). However, Asaphes suspensus (Nees) was not detected in all samples.
According to the average percentage of different groups detected in the three years (Figure 3), A. gossypii was the main species, accounting for 93.08% of the total detected amounts of aphids, followed by M. persicae, Aphis craccivora Koch and Ac. gossypii, accounting for 2.72%, 2.72% and 1.48%, respectively. The proportions of primary parasitoids detected were as follows: B. communis 90.76%, T. asiaticus 8.67%, L. fabarum 0.57% and P. barbatum 0.08%. The proportions of the seven hyperparasitoids detected from high to low were Syrphophagus spp. (62.94%), P. aphidis (16.08%), Alloxysta sp. (13.99%), D. laticeps (6.99%) and A. suspensus (0%).

3.3.2. Quantitative Food Webs of Aphids–Primary Parasitoids–Hyperparasitoids–H. variegata

The samples with positive amplification were screened from all the ladybeetles, and then, food webs were constructed according to the detection results (Figure 4). The proportions of aphids and parasitoids that were predated on together by the ladybeetles increased year by year, and the combination of A. gossypii and B. communis dominated, followed by the combination of A. gossypii and T. asiaticus. Only few hyperparasitoids were simultaneously detected. A total of 6.14% of ladybeetles tested positive for A. gossypii, B. communis and Syrphophagus spp. together in 2019, while less than 1% of the samples tested positive for other combinations.

4. Discussion

Intraguild predation is a complex interspecific relationship. In this study, the predation relationship between H. variegata and mummies with different densities of aphids was investigated. The results showed that, when the density of aphids increased from 10 to 100 aphids per dish, there was a significant increase in the number of consumed aphids. When the experimental treatment was 10 aphids and 10 mummies per dish, there was no obvious preference for live aphids or mummies. As the aphid density increased to 100 per dish, the consumption of mummies decreased significantly. In conclusion, following an increasing density of live aphids, the predator showed an obvious preference for live aphids rather than mummies, but when there was a low prey density, there was no significant preference between live aphids and mummies (i.e., 10 mummies + 10 live aphids in the T2 treatment). Actually, the parasitism rate of aphids was relatively low (less than 10%) in a previous survey [25]. Therefore, the ladybeetles preyed primarily on live aphids as natural enemies, supplemented by IGP on mummies.
The mummies were concentrated in July and decreased significantly in August. The population reached the highest peak in early July, followed by a secondary peak in middle or late July, and gradually declined. The survey of Li et al. [26] in the cotton fields of southern Xinjiang showed that the peak population of cotton aphids in the field was usually from late June to early July. Li et al. [23] reported the dynamics of cotton aphid populations in Korla, which reached a peak in mid-June and then gradually declined, and the parasitism rate increased with the increase in aphids, but lagged behind aphids. Following the population dynamics and host preferences of various predatory natural enemies in northern Xinjiang, Yang [27] found that H. variegata appeared in the cotton field in mid-June, and then reached a peak over late June to early July. A second peak occurred in late July, and then the population decreased. The density of H. variegata was significantly positively correlated with the aphid population. In conclusion, the spatio-temporal coincidence of the peak and dynamics of A. gossypii, mummies and H. variegata in the cotton fields provided convenient conditions for the occurrence of IGP.
In this study, the relative predation rates of several common aphids, primary parasitoids and hyperparasitoids in H. variegata were systematically detected for the first time. In addition, there were 398 ladybeetles with negative responses to all the tested targets. The possible reason is that the collection time was too long since the ladybeetles last fed, and the prey DNA in the gut had been digested and degraded. Rondoni et al. [13] found that the DNA detection of prey in the gut of Harmonia axyridis (Pallas) larvae decreased with the increase in feeding time, and the digestive half-life of Eucallipterus tiliae (Linnaeus) after feeding was 3.1 h. Otherwise, H. variegata has a wide range of prey, not only preying on a variety of insects pests [28], but also using pollen as a nutritional supplement [29]. Liang et al. found that, by providing pollen as a supplementary food, the IGP between H. axyridis and Propylea japonica (Thunberg), two predators of aphids, could be reduced [30]. Therefore, some samples collected in the field may not have been fed on aphids or parasitoids.
In the field, ladybeetles preyed on parasitoids mainly through the parasitized aphids, including live and mummified aphids containing parasitoids. DNA fragments of both aphids and parasitoids were often detected in ladybeetles simultaneously. In the samples that consumed parasitoids, 85.02% of them were positive for aphids and primary parasitoids simultaneously, 6.94% were positive for aphids, primary parasitoids and hyperparasitoid and only 6.39% were positive for parasitoids alone, which were directly preyed on by ladybeetles. Direct predation on parasitoids by predators has already been reported. Traugott et al. [31] used a combination of singleplex PCR and multiplex PCR to track the nutritional interactions among various predators, aphids and parasitoids in a winter wheat field in Warwickshire, UK, and found that 7.5% of predators captured at the end of May had eaten aphid parasitoids. More than 50% of the parasitoids’ DNA came from direct predation, and there were significant differences between predator taxa at levels at which the predators feed on pests and parasitoids, indicating that the species of the predator itself greatly influenced the direct or indirect feeding of parasitoids. Diagnostic PCR technology based on specific primer amplification has become a common method to study the trophic interactions among arthropods [32,33,34], especially in open habitats with complex trophic interactions. For example, Lenka et al. [35] detected the DNA of natural predators Anyphaena and Philodromus in orchards, and found that the frequency of the two kinds of spider species’ predation on pear psylla was much higher than that of IGP. Ortiz-Martine et al. [10] revealed the frequency of IGP among ladybeetles and parasitoids in wheat fields under different landscape backgrounds. The results showed that the complexity of the landscape background did not affect the IGP and population dynamics of aphids in the wheat fields. However, the technology above still has its limitations, as the detection results can only determine whether predation occurs, but cannot effectively assess the prey amount. Paula et al. [36] determined the DNA sequence in the gut of natural enemies through DNA shotgun sequencing, and then compared it with the mitochondrial gene bank to determine the prey species. Combined with the bioinformation technology, they estimated the prey consumption through the reverse regression simulation of the detected prey readings. However, this method has a high cost and few genome sequence databases for reference, so it is necessary to improve the sequence database continuously in further study.
Trophic webs can quantitatively describe the basic structure and intensity of species interactions [37,38,39]. The construction of arthropod food webs is mainly based on the systematic analysis of a large number of samples collected in the field, so as to obtain the trophic interactions between predators and prey, parasites and hosts, etc. [40,41]. In the quantitative food web of predatory arthropods, “quantitative” refers to the occurrence frequency of the trophic links between different predators and prey [32]. In this study, the DNA extracts of H. variegata collected in the field were used as the template for detection by three multiplex PCRs and a singleplex PCR. Based on the results, three quantitative food webs of aphids, primary parasitoids, hyperparasitoids and ladybeetles over 2017–2019 were established. In order to reduce the interference of false positive amplification, a variety of nontarget arthropods’ DNA was extracted to determine the specificity of the system. The results showed that H. variegata preyed on four types of aphids, four primary parasitoids and six hyperparasitoids. A. gossypii, as the dominant species of aphid, interacted with three primary parasitoids: B. communis, T. asiaticus and L. fabarum. B. communis, as the primary parasitoid with the highest detection rate, not only interacted with all four aphid species in the detection system, but also interacted with all six hyperparasitoids. The detection rate of T. asiaticus was second only to that of B. communis. It interacted with three aphid species: A. gossypii, A. craccivora and Ac. gossypii, as well as five hyperparasitoids, but not P. aphidis. In this paper, the width of the connecting lines in the food webs represents the relative frequency of attacks of the higher-trophic-level species on the lower. The parasitoid populations predated on by the ladybeetle are abundant, but the detection frequency of A. gossypii in combination with B. communis was much higher than that of other species, which is highly consistent with the species composition of the aphids and parasitoids in the cotton fields of Xinjiang [23].
Although parasitoids are important natural enemies to control aphid population growth in Xinjiang cotton fields, the control effect may be impaired by IGP with predators. Therefore, it is necessary to systematically evaluate the intraguild predation effect in the food web. In this study, IGP between H. variegata and parasitoids was demonstrated. The population dynamics of mummies in the Korla cotton fields were investigated and recorded, and the composition ratio of aphids and parasitoids, which are preyed on by the dominant natural enemy of ladybeetles in cotton fields, was revealed by molecular detection. Quantitative food webs were constructed to describe the trophic interactions among different aphids, primary parasitoids, hyperparasitoids and H. variegata and their relative frequencies of occurrence. The above information will help to evaluate the pest control ability of H. variegata more comprehensively and strengthen the strategies for the biological control of aphids.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/insects14010081/s1. Table S1: Nontarget arthropods of cotton field for primers species-specific detection; Figure S1: Specificity and efficacy of multiplex PCR system MP1 for aphid detection; Figure S2: Specificity and efficacy of multiplex PCR system MP2 for primary parasitoids detection; Figure S3: Specificity and efficacy of multiplex PCR system MP3 for hyperparasitoid detection; Figure S4: Specificity and efficacy of multiplex PCR system SP1 for hyperparasitoid detection.

Author Contributions

Conceptualization, Y.L. (Yanhui Lu) and J.Z.; data curation, S.D.; formal analysis, S.D. and B.L.; funding acquisition, Y.L. (Yanhui Lu); investigation, S.D., B.L. and Y.L. (Yangtian Liu); methodology, Y.L. (Yanhui Lu); project administration, Y.L. (Yanhui Lu); resources, Y.L. (Yanhui Lu); software, Y.L. (Yanhui Lu); supervision, Y.L. (Yanhui Lu) and J.Z.; validation, Y.L. (Yangtian Liu); visualization, Y.L. (Yanhui Lu); writing—original draft, S.D. and B.L.; writing—review and editing, Y.L. (Yanhui Lu) and J.Z. All authors have read and agreed to the published version of the manuscript.

Funding

This study was funded by the National Natural Science Funds of China (No. U2003212) and the China Agriculture Research System (CARS-15-21).

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

All the data analyzed in this study are included in this article.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Holt, R.D.; Polis, G.A. A theoretical framework for intraguild predation. Am. Nat. 1997, 149, 745–764. [Google Scholar] [CrossRef]
  2. Borer, E.T. Intraguild predation in larval parasitoids: Implications for coexistence. J. Anim. Ecol. 2002, 71, 957–965. [Google Scholar] [CrossRef]
  3. Yang, F.; Wang, Q.; Lu, Y.H.; Xu, J.X. Intraguild predation of Coccinellid species. Chin. J. Biol. Control 2014, 30, 253–259. [Google Scholar]
  4. Brodeur, J.; Rosenheim, J.A. Intraguild interactions in aphid parasitoids. Entomol. Exp. Appl. 2000, 97, 93–108. [Google Scholar] [CrossRef]
  5. Colfer, R.G.; Rosenheim, J.A. Predation on immature parasitoids and its impact on aphid suppression. Oecologia 2001, 126, 292–304. [Google Scholar] [CrossRef]
  6. Van Veen, F.J.; Müller, C.B.; Pell, J.K.; Godfray, H.C. Food web structure of three guilds of natural enemies: Predators, parasitoids and pathogens of aphids. J. Anim. Ecol. 2008, 77, 191–200. [Google Scholar] [CrossRef]
  7. Bilu, E.; Coll, M. The importance of intraguild interactions to the combined effect of a parasitoid and a predator on aphid population suppression. Biol. Control 2007, 52, 753–763. [Google Scholar] [CrossRef]
  8. Traugott, M.; Bell, J.R.; Broad, G.R.; Powell, W.; van Veen, F.J.F.; Vollhardt, I.M.G.; Symondson, W.O.C. Endoparasitism in cereal aphids: Molecular analysis of a whole parasitoid community. Mol. Ecol. 2008, 17, 3928–3938. [Google Scholar] [CrossRef] [PubMed]
  9. Krey, K.L.; Cooper, W.R.; Renkema, J.M. Revealing the diet of generalist insect predators in strawberry fields: Not only pests, but other predators beware. Environ. Entomol. 2020, 49, 1300–1306. [Google Scholar] [CrossRef]
  10. Ortiz-Martínez, S.; Staudacher, K.; Baumgartner, V.; Traugott, M.; Lavandero, B. Intraguild predation is independent of landscape context and does not affect the temporal dynamics of aphids in cereal fields. J. Pest Sci. 2020, 93, 235–249. [Google Scholar] [CrossRef]
  11. Chen, Y.; Giles, K.L.; Payton, M.E.; Greenstone, M.H. Identifying key cereal aphid predators by molecular gut analysis. Mol. Ecol. 2000, 9, 1887–1898. [Google Scholar] [CrossRef]
  12. King, R.A.; Read, D.S.; Traugott, M.; Symondson, W.O.C. Molecular analysis of predation: A review of best practice for DNA-based approaches. Mol. Ecol. 2008, 17, 947–963. [Google Scholar] [CrossRef] [PubMed]
  13. Rondoni, G.; Athey, K.J.; Harwood, J.D.; Conti, E.; Ricci, C.; Obrycki, J.J. Development and application of molecular gut-content analysis to detect aphid and coccinellid predation by Harmonia axyridis (Coleoptera: Coccinellidae) in Italy. Insect Sci. 2015, 6, 12. [Google Scholar]
  14. Peterson, J.A.; Burkness, E.C.; Harwood, J.D. Molecular gut-content analysis reveals high frequency of Helicoverpa zea (Lepidoptera: Noctuidae) consumption by Orius insidiosus (Hemiptera: Anthocoridae) in sweet corn. Biol. Control 2018, 121, 1–7. [Google Scholar] [CrossRef]
  15. Pan, H.S.; Jiang, Y.Y.; Wang, P.L.; Liu, J.; Lu, Y.H. Research progress in the status evolution and integrated control of cotton pests in Xinjiang. J. Plant Prot. 2018, 44, 42–50. [Google Scholar]
  16. Feng, H.Z.; Wang, L.; Xiong, R.C.; Dong, H.Q. Study on the population growth and economic thresholds of cotton aphids. China Cotton 2004, 31, 17–18. [Google Scholar]
  17. Li, B.P.; Tang, X.H. Control effect of natural enemies on Aphis gossypii. J. Xinjiang Agric. Univ. 1998, 4, 18–20. [Google Scholar]
  18. Pan, Y.F. Effect of Landscape Composition and Pesticide Application on Natural Enemies and Their Aphid Biocontrol Services in Cotton Fields in Southern Xinjiang. Master’s Thesis, Chinese Academy of Agricultural Sciences, Beijing, China, 2020. [Google Scholar]
  19. Guo, W.C.; Xu, J.J.; He, J.; Hajitai, B.S. A preliminary study on the community transfer of natural enemies in the mixed grain-cotton ecological zone in northern Xinjiang. Xinjiang Agric. Sci. 2000, S1, 119–122. [Google Scholar]
  20. Wu, G.; Wang, D.Y.; Wang, X.D. Investigation on species of predators of Bemisia tabasi Gennadius in the cotton field by SCAR PCR. Xinjiang Agric. Sci. 2011, 48, 223–228. [Google Scholar]
  21. Xue, Z.; Peng, T.; Liu, B.; Liu, Y.; Zhang, Z.; Wyckhuys, K.A.; Wang, P.; Lu, Y. Licorice strips enhance predator-mediated biological control in China’s cotton crop. Pest Manag. Sci. 2023. [Google Scholar] [CrossRef]
  22. Li, X.L.; Luo, Y.L.; Li, H.; Xie, X.; Ma, R.H.; Liu, Y.J.; Wang, P.L.; Lu, Y.H. Regulation and control effects of suaeda strips on the population occurrence of Hippomidia variegata in cotton fields. Xinjiang Agric. Sci. 2019, 56, 13–22. [Google Scholar]
  23. Li, J.H.; Wu, Y.K.; Zhang, Q.; Li, H.Q.; Pan, H.S.; Lu, W.; Wang, D.M.; Zhang, J.P.; Lu, Y.H. Aphid parasitism and parasitoid diversity in cotton fields in Xinjiang, China. PLoS ONE 2018, 13, e0207034. [Google Scholar] [CrossRef] [PubMed]
  24. Li, J.H.; Li, H.Q.; Yang, F.; Wu, Y.K.; Zhang, J.P.; Lu, Y.H. A molecular detection approach for assessing cotton aphid-primary parasitoid-hyperparasitoid food webs in Xinjiang, China. J. Plant Prot. 2021, 48, 970–979. [Google Scholar]
  25. Yang, F.; Liu, B.; Zhu, Y.L.; Desneux, N.; Liu, L.T.; Li, C.H.; Wyckhuys, K.A.; Lu, Y.H. Transgenic Cry1Ac + CpTI cotton does not compromise parasitoid-mediated biological control: An eight-year case study. Pest Manag. Sci. 2022, 78, 240–245. [Google Scholar] [CrossRef] [PubMed]
  26. Li, H.Q.; Wang, D.M.; Liu, J. Effects of walnut-cotton intercropping on arthropod community structure and the population of natural enemies in cotton fields. Xinjiang Agric. Sci. 2021, 59, 934–941. [Google Scholar]
  27. Yang, J. Conservation Functions of Non-Cotton Habitat on Predatory Natural Enemies in Northern Xinjiang. Master’s Thesis, Shihezi University, Shihezi, China, 2016. [Google Scholar]
  28. Jiang, Y.; Xiu, C.L.; Wang, D.M.; Ding, R.F.; Li, H.B.; Pan, H.S.; Liu, X.N. Effects of six aphid species on the development and reproduction of Hippodamia variegata (Goeze). Chin. J. Biol. Control 2022, 38, 1427–1434. [Google Scholar]
  29. Gu, H.J. The Impact of Pollen and Nectar Feeding on Population Fitness of Harmonia axyridis and Hippodamia variegata. Master’s Thesis, Yangzhou University, Yangzhou, China, 2020. [Google Scholar]
  30. Liang, Y.Y.; Chen, X.; Dai, H.; Wang, J.; Guo, X.J.; Wang, S.; Jaworski, C.C. Flower provision reduces intraguild predation between predators and increases aphid biocontrol in tomato. J. Pest Sci. 2022, 95, 461–472. [Google Scholar] [CrossRef]
  31. Traugott, M.; Bell, J.R.; Raso, L.; Sint, D.; Symondson, W.O. Generalist predators disrupt parasitoid aphid control by direct and coincidental intraguild predation. Bull. Entomol. Res. 2012, 102, 239–247. [Google Scholar] [CrossRef]
  32. Yang, F.; Liu, B.; Lu, Y.H. DNA Application of DNA-based molecular detection techniques in arthropod food web structure analyses. Chin. J. Biol. Control 2022, 49, 110–117. [Google Scholar]
  33. Gajski, D.; Pekár, S. Assessment of the biocontrol potential of natural enemies against psyllid populations in a pear tree orchard during spring. Pest Manag. Sci. 2021, 77, 2358–2366. [Google Scholar] [CrossRef]
  34. Pérez-Sayas, C.; Pina, T.; Gómez-Martínez, M.A.; Camañes, G.; Ibáñez-Gual, M.V.; Jaques, J.A.; Hurtado, M.A. Disentangling mite predator-prey relationships by multiplex PCR. Mol. Ecol. Resour. 2015, 15, 1330–1345. [Google Scholar] [CrossRef] [PubMed]
  35. Lenka, P.; Radek, M.; Pamela, L.; Lenka, S.; Stanislav, K.; Stano, P. Intraguild predation among spiders and their effect on the pear psylla during winter. Agric. Ecosyst. Environ. 2016, 233, 67–74. [Google Scholar]
  36. Paula, D.P.; Timbó, R.V.; Togawa, R.C.; Vogler, A.P.; Andow, D.A. Quantitative prey species detection in predator guts across multiple trophic levels by mapping unassembled shotgun reads. Mol. Ecol. Resour. 2023, 23, 64–80. [Google Scholar] [CrossRef]
  37. Liu, B.; Lu, Y.H. Arthropod food web structure and the biocontrol services of natural enemies in agro-ecosystems. J. Plant Prot. 2022, 49, 97–109. [Google Scholar]
  38. Harvey, E.; Gounand, I.; Ward, C.L.; Altermatt, F. Bridging ecology and conservation: From ecological networks to ecosystem function. J. Appl. Ecol. 2017, 54, 371–379. [Google Scholar] [CrossRef]
  39. Thompson, R.M.; Brose, U.; Dunne, J.A.; Hall, R.O., Jr.; Hladyz, S.; Kitching, R.L.; Martinez, N.D.; Rantala, H.; Romanuk, T.N.; Stouffer, D.B.; et al. Food webs: Reconciling the structure and function of biodiversity. Trends Ecol. Evol. 2012, 27, 689–697. [Google Scholar] [CrossRef]
  40. Avalos, S.; González, E.; Mangeaud, A.; Valladares, G. Caterpillar-parasitoid food webs and biological control in two extensive crops. Biol. Control 2019, 143, 104184. [Google Scholar] [CrossRef]
  41. Roubinet, E.; Jonsson, T.; Malsher, G.; Staudacher, K.; Traugott, M.; Ekbom, B.; Jonsson, M. High redundancy as well as complementary prey choice characterize generalist predator food webs in agroecosystems. Sci. Rep. 2018, 8, 8054. [Google Scholar] [CrossRef] [PubMed]
Insects 14 00081 g001 550
Figure 1. The number of prey (mean ± SE) consumed by Hippodamia variegata adults after four hours. T1: 10 mummies and 0 aphids; T2: 10 mummies and 10 aphids; T3: 10 mummies and 100 aphids. Different letters above columns indicate significant differences in mummy consumption under different aphid densities, “A, B” of red color indicate a comparison between consumption of the mummies and “A, B” of black color indicate a comparison between consumption of the aphids (p < 0.01, Tukey’s HSD test); “ns” denotes no significant difference between the consumption of aphids and mummies with 10 aphids and 10 mummies per dish (p > 0.05).
Figure 1. The number of prey (mean ± SE) consumed by Hippodamia variegata adults after four hours. T1: 10 mummies and 0 aphids; T2: 10 mummies and 10 aphids; T3: 10 mummies and 100 aphids. Different letters above columns indicate significant differences in mummy consumption under different aphid densities, “A, B” of red color indicate a comparison between consumption of the mummies and “A, B” of black color indicate a comparison between consumption of the aphids (p < 0.01, Tukey’s HSD test); “ns” denotes no significant difference between the consumption of aphids and mummies with 10 aphids and 10 mummies per dish (p > 0.05).
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Insects 14 00081 g002 550
Figure 2. Dynamics of the mummy population in the cotton fields from 2017 to 2019.
Figure 2. Dynamics of the mummy population in the cotton fields from 2017 to 2019.
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Figure 3. The proportion of aphids (A), primary parasitoids (B) and hyperparasitoids (C) consumed by Hippodamia variegata over 2017–2019.
Figure 3. The proportion of aphids (A), primary parasitoids (B) and hyperparasitoids (C) consumed by Hippodamia variegata over 2017–2019.
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Insects 14 00081 g004 550
Figure 4. Quantitative food webs of aphids, primary parasitoids, hyperparasitoids and Hippodamia variegata in cotton fields. Each circle represents a species; the number below the circle is the detection frequency of the species, and the size of the circle represents the relative abundance of the species at the same trophic level. The width of the connecting lines represents the relative number of higher trophic species attacking the lower trophic species.
Figure 4. Quantitative food webs of aphids, primary parasitoids, hyperparasitoids and Hippodamia variegata in cotton fields. Each circle represents a species; the number below the circle is the detection frequency of the species, and the size of the circle represents the relative abundance of the species at the same trophic level. The width of the connecting lines represents the relative number of higher trophic species attacking the lower trophic species.
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Table
Table 1. Amplified DNA fragment sizes of aphids, primary parasitoids and hyperparasitoids.
Table 1. Amplified DNA fragment sizes of aphids, primary parasitoids and hyperparasitoids.
SystemSpeciesProduct Size/bp
cMP1Acyrthosiphon gossypii Mordviiko149
Aphis gossypii Glover191
Aphis craccivora Koch291
Myzus persicae (Sulzer)469
cPriMP2Binodoxys communis (Gahan)233
Lysiphlebus fabarum (Marshall)322
Trioxys asiaticus Telenga453
Praon barbatum Mackauer164
cHypMP3Dendrocerus laticeps (Hedicke)534
Alloxysta sp.362
Syrphophagus spp.425
Pachyneuron aphidis (Bouché)216
cSP1Asaphes suspensus (Nees)163
Table
Table 2. Detection frequency of aphids, primary parasitoids and hyperparasitoids in field-collected Hippodamia variegata individuals.
Table 2. Detection frequency of aphids, primary parasitoids and hyperparasitoids in field-collected Hippodamia variegata individuals.
YearLadybeetles Tested *
No.		Detection Frequency
AphidsPrimary ParasitoidsHyperparasitoids
201772847413611
201874368338710
201961955641071
Total2090171393392
* An individual of H. variegata may be detected for more than one species of prey.
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Dou, S.; Liu, B.; Liu, Y.; Zhang, J.; Lu, Y. Intraguild Predation of Hippodamia variegata on Aphid Mummies in Cotton Field. Insects 2023, 14, 81. https://doi.org/10.3390/insects14010081

AMA Style

Dou S, Liu B, Liu Y, Zhang J, Lu Y. Intraguild Predation of Hippodamia variegata on Aphid Mummies in Cotton Field. Insects. 2023; 14(1):81. https://doi.org/10.3390/insects14010081

Chicago/Turabian Style

Dou, Shuying, Bing Liu, Yangtian Liu, Jianping Zhang, and Yanhui Lu. 2023. "Intraguild Predation of Hippodamia variegata on Aphid Mummies in Cotton Field" Insects 14, no. 1: 81. https://doi.org/10.3390/insects14010081

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