Abstract
Wing polymorphism contributes significantly to the success of a wide variety of insects. However, its underlying molecular mechanism is less well understood. The migratory planthopper (BPH), Nilaparvata lugens, is one of the most extensively studied insects for wing polymorphism, due to its natural features of short- and long-winged morphs. Using the BPH as an example, we first surveyed the environmental cues that possibly influence wing developmental plasticity. Second, we explained the molecular basis by which two insulin receptors (InR1 and InR2) act as switches to determine alternative wing morphs in the BPH. This finding provides an additional layer of regulatory mechanism underlying wing polymorphism in insects in addition to juvenile hormones. Further, based on a discrete domain structure between InR1 and InR2 across insect species, we discussed the potential roles by which they might contribute to insect polymorphism. Last, we concluded with future directions of disentangling the insulin signalling pathway in the BPH, which serves as an ideal model for studying wing developmental plasticity in insects.
This article is part of the themed issue ‘Evo-devo in the genomics era, and the origins of morphological diversity’.
Keywords: wing polymorphism, insulin receptors, phenotypic plasticity, planthoppers
1. Introduction
Wing polymorphism is an evolutionarily successful feature found in a wide variety of insect species, most notably in the Coleoptera, Diptera, Heteroptera, Hymenoptera, Lepidoptera, Orthoptera, Psocoptera and Thysanoptera orders [1]. Typically, the long-winged morph (macropter) consists of developed wings and functional flight muscles, and thus is flight-capable. By contrast, the short-winged morph (brachypter) or the wingless morph (apter) has underdeveloped wings and flight muscles, and thus is obligate flightless. The proximate causes for alternate wing morphs vary between species, either resulting from different genotypes or induced by various environmental stimuli. In some cases, the macropters of some aphids, water striders and crickets can histolyse their wing muscles, and thus transform themselves into functional brachypters [1,2], but this phenotype will not be discussed herein.
Wing polymorphism contributes significantly to the ecological success of some insect species in natural and agricultural habitats. The long-winged morph is capable of long-distance dispersal, thus escaping deteriorating environments and colonizing new habitats. By contrast, the short-winged morph or wingless morph generally exhibits a fitness trade-off between flight capability and reproduction, hence this type of morph both reproduces earlier and oviposits more eggs than the long-winged morph [1,3]. Given its important ecological significance, wing polymorphism has fascinated evolutionary biologists and physiologists for decades. However, its underlying proximate mechanism remains less well understood.
Wing dimorphism in rice planthoppers (Hemiptera: Delphacidae) is one of the intensively studied and economically significant examples of wing polymorphism in insects. There are about 40 delphacid planthopper species that are able to use rice as a host plant in Asia [4], such as the most notorious species the brown planthopper (BPH, Nilaparvata lugens) (figure 1), the small BPH (Laodelphax striatellus) and the white-backed planthopper (Sogatella furcifera). All three species have developed the ability to migrate and track spatial changes in the quality of host plants. The BPH has five nymphal stages, and its wing buds grow gradually along with the increasing stage of the nymph, but the short- and long-winged morphs are externally indistinguishable until the adults emerge. The nymphal period varies widely depending on temperature, density during development and other environmental factors. BPHs in the tropics take about 10–18 days (3–5 days for each stadium) from the hatching of the first-instar nymph till the adult stage. The total life cycle of the BPH is about three to four weeks and a new generation may appear monthly. Long-winged morphs differ from short-winged morphs with respect to flight capability and reproduction. Besides having fully developed wings, long-winged morphs have functional flight muscles, and a slightly but significantly extended mesonotum. By contrast, short-winged morphs exhibit reduced wings and underdeveloped flight muscles. However, they have a shorter pre-oviposition period (3–4 days) than long-winged morphs (3–10 days) under cool conditions, and lay more eggs (60–500) [5].
Figure 1.

Wing dimorphism of the brown planthopper Nilaparvata lugens. (Online version in colour.)
The ability to develop into the long-winged morph enables BPHs to migrate over long distances, resulting in extensive damage to rice production across wide geographical areas. During the spring and summer, long-winged BPHs migrate northward from tropical or subtropical areas as rice becomes available in temperate areas of China, northern India, Japan and Korea. In the autumn, returning migrations (from north to south) of BPH populations have been observed across China and India [6,7]. Most adult BPHs in subsequent post-migration generations are short-winged morphs and exhibit increased fecundity [8]. Heavy BPH infestation can cause the complete drying and wilting of plants, known as ‘hopper burn’ [4,8]. Furthermore, the BPH also vectors several plant pathogens such as rice ragged stunt virus (RRSV) and rice grassy stunt virus (RGSV), which affect plant vigour and reduce yield [9,10]. For that reason, the BPH is the primary cause of in-field yield loss of rice throughout Asia [11].
In this review, we will limit the scope to the BPH system to shed light on the underlying mechanism of wing dimorphism in insects. The BPH system was chosen for three primary reasons. First, we have recently sequenced and assembled its genome [12], which will provide an avenue for disentangling the gene networks underpinning wing dimorphism as well as its physiology at the molecular level. Second, susceptibility of the BPH to RNA interference (RNAi) [13] allows us to interrogate gene function easily. Third, the BPH is the primary pest of rice, a major food source for more than half of the world's population [14], and thus is economically important.
First, we will briefly present general information on the environmental factors and endocrine hormones influencing wing dimorphism in the BPH. Second, we will highlight recent work on the contribution of the insulin signalling pathway to tissue developmental plasticity in several model insects. Third, we will document recent evidence revealing the mechanistic basis underlying wing dimorphism in the BPH. Lastly, we end with conclusions to address future directions on deeply exploring underlying molecular genetics by using the BPH system.
2. Environmental factors influencing wing dimorphism in the brown planthopper
Wing dimorphism contributes significantly to the success of the BPH in biological adaptation and agricultural habitats. Various environmental cues such as crowding, host plant quality, photoperiod and temperature are known to influence the development of alternative wing morphs. The long-winged morph can be promoted by overcrowding density encountered during nymphal development, and is intensified by low-quality plants [8,15–23]. Nymphs reared under the condition of short day length or low temperature were found to develop into short-winged morphs [8,24]. Additionally, the wing-morph differentiation might be influenced by the physiological status of the host rice. The percentage of the long-winged morphs that result from feeding on yellow-ripe rice is higher than that on booting-stage rice [25], while nymphs fed on the latter produce more long wings than those fed on tillering-stage rice [26]. As the short-winged morph ratio might be negatively correlated with soluble sugar, whereas it is positively correlated with nitrogen content in the host plant [24,26], it is plausible to speculate that the host nutritional status as sensed by nymphs might affect wing-morph switch. However, a recent study reported that the content of soluble protein, soluble sugar and lysine played negligible roles in wing-morph alteration [17]. In addition, of all the environmental factors relevant, population density is probably the dominant one; however, rigorous support for this premise is missing. For example, unlike planthoppers collected from the temperate region, some Philippines populations showed weak response to rearing density [18]. Currently, the effect of environmental factors on BPH wing dimorphism is controversial.
As with many reports on aphids and crickets [1,2,27–30], the level of juvenile hormones (JH) has long been thought to control wing-morph switch in planthoppers. Topical application of JHs or JH agonists on the BPHs at sensitive developmental stages induced short-winged morphs [20,31], whereas treatment with JH antagonists induced long-winged morphs [32–34]. Nevertheless, the most convincing evidence via measuring the JH levels in alternative wing morphs is missing [30].
3. Insulin/insulin-like growth factor signalling pathway and developmental plasticity
The insulin/insulin-like growth factor (IGF) signalling (IIS) pathway is an evolutionarily conserved nutrient-sensing pathway that modulates growth and development in metazoans [35–44]. Emerging evidence indicated that the IIS pathway plays a key role in determining the developmental plasticity of tissue or organs in insects [39,45]. In Drosophila, selective dysfunction of the insulin receptor (InR) in the eye resulted in a dramatic reduction in eye tissue and in the head capsule, whereas the other body parts were of wild-type size. Conversely, overexpression of InR in the eye led to hyper-proliferation [46]. In a follow-up study, Puig and his colleages eye-specifically overexpressed Drosophila FOXO protein, a negative transcription factor downstream from the insulin signalling pathway, and found that the eye size of the mutant flies was significantly smaller than that of wild-type flies [47]. More recently, Tang et al. [48] documented that organ-autonomous changes in FOXO expression are sufficient to autonomously alter an organ's nutritional plasticity and insulin sensitivity in Drosophila. More relevant evidence that links the IIS pathway with polyphenism has been derived from studies on male rhinoceros beetles. Horn size in the male beetles is hyper-variable, ranging from tiny bumps to exaggerated structures in accordance with the available nutrients. Mechanistic analysis showed that the horns exert enhanced tissue-specific sensitivity to the IIS pathway compared with other tissues, and as a result, knockdown of the InR disproportionately and significantly reduced horn size [49]. Taken together, this evidence implies that certain tissues or organs in some insects are capable of adjusting their size based on organ-specific insulin sensitivity in accordance with developmental nutrition.
4. Insulin/insulin-like growth factor signalling pathway and wing dimorphism in the brown planthopper
(a). Two insulin receptors determine wing morphs in planthoppers
In contrast with the single InR found in Drosophila, two putative InRs have been identified in the BPH, designated NlInR1 and NlInR2, respectively. NlInR1 and NlInR2 closely resemble each other as well as their Drosophila counterpart with respect to amino acid identity and domain architecture [50]. Surprisingly, NlInR1 and NlInR2 play fully opposite roles in wing-morph determination in the BPH. Nymphal knockdown of NlInR2 led to a strong bias towards long-winged adults; by contrast, dysfunction of NlInR1 resulted in the development of short-winged BPHs. In other words, production of long-winged morphs is positively related to the activity of NlInR1, but is inversely related to the activity of NlInR2. Morphologically, perturbation of either NlInR resulted in correct wing veins, indicating that both InRs mainly constrain their functions to modulate wing size instead of its developmental pattern. Besides, both genetic and biochemical analyses suggested that NlInR1 resembles the well-established canonical function of InR as with the Drosophila InR, whereas NlInR2 acted more probably as a negative regulator of the NlInR1 signalling cascade, and shares the same signalling cascade downstream from NlInR1. Additional evidence shows that the wing tissue in the BPH is highly susceptible to insulin signalling activity relative to other body parts, and that NlInR2 regulates wing-morph development in a tissue-specific manner rather than through a systemic effect on growth and metabolism. These breakthrough findings suggest that the BPH employs the same suit of genes to generate different wing morphs in different environments by alternating their expressional levels. Further, functional studies on insulin receptors from additional two planthopper species, L. striatellus and S. furcifera, indicated that the planthopper family might share a common regulatory mechanism underlying wing dimorphism [50]. Thus, we refer to the wing-morph plasticity in planthoppers as wing polyphenism instead of wing polymorphism, as alternative wing morphs are caused by redeployment of the existing developmental pathways, but are not genetically determined.
Recently, we found that the short-winged and the long-winged morph could be switched up to the fifth-instar nymph (the final nymphal stadium) (W-H Xue, Y-Q Jiang, J-L Zhang, N Xu, C-X Zhang, H-J Xu 2016 unpublished data). Prior to the fifth-instar stage, the short- and the long-winged morphs could be reversible depending on the activities of NlInR1 and NlInR2, respectively. The advantage of wing-morph commitment at their final stadium allows planthoppers to respond to environmental variability more flexibly and economically, as the building of wings and musculature is energetically expensive [1,8]. This finding of binary control of insulin signalling activity will facilitate a deep understanding of the mechanistic basis of wing polyphenism in insects.
(b). Conservation of the second insulin receptor across insects
The distinct physiological roles defined by NlInR1 and NlInR2 lead to questions on the structural difference between them and the extent to which the function of these two InRs are conserved across insects. Genomic sequencing of selected insect species advances bioinformatic mining to identify homologous genes in diverse insect species. By examining 42 species in the orders of Anoplura, Blattodea, Coleoptera, Diptera, Hemiptera, Hymenoptera and Lepidoptera, we found two putative InRs in 24 species belonging to five orders, except for in Anoplura and Blattodea (electronic supplementary material, table S1). In the order Blattodea, the dampwood termite Zootermopsis nevadensis has three InRs. However, in the order Anoplura, an orphan InR was identified, as in the majority of Diptera species. Conversely, in the order Hymenoptera (i.e. ants, bees and wasps), two putative InRs were identified in 17 of 19 species examined (electronic supplementary material, table S1). Considering complex social life traits of most Hymenoptera species, it would be interesting to investigate whether InR2 plays any roles in their social castes. Although the data are limited, we speculate that more insects encoding two or more InRs will be revealed as more genomic sequences become available.
By examining the structural difference between NlInR1 and NlInR2 in the BPH, we found that the second InR (NlInR2) lacks four cysteine residues adjacent to the amino-terminal part of the furin-like cysteine-rich region (Fu) domain [50] that plays an important functional role in the interaction of the receptor with insulin [51,52]. Especially, only one cysteine at position 550 (C550), numbered after the Drosophila counterpart, is found within the amino-terminal portion of the Fu domain in the NlInR2, whereas concatenate residues of two cysteines (C549C550) are present in the corresponding position in NlInR1 (figure 2). Intriguingly, this pattern is exclusively conserved in another 37 insect species examined, and even in the human InR. Herein, we propose the InRs containing C549C550 residues in the Fu domain as the first InR (InR1), whereas those with one cysteine residue are the second InR (InR2). More interestingly, a maximum-likelihood phylogenetic tree based on the tyrosine kinase domain of InRs is fully congruent with this premise. The InR group was apparently separated from the anaplastic lymphoma kinase (Alk) that also belongs to the receptor tyrosine kinase family. However, InR1 and InR2 further form separate clades in the InR group (figure 3). Notably, the placement of human InR in the InR1 clade is consistent with findings of how NlInR1 functions as a typical InR [49].
Figure 2.

Alignment of the furin-like cysteine-rich (Fu) domains of insect InRs. The insect InR contains a typical domain architecture that consists of a signal peptide (SP), two ligand-binding loops (L1 and L2), a Fu region, three fibronectin type 3 domains (Fn3), a single transmembrane (TM) and a tyrosine kinase (TyrKc). Amino acid sequences of the Fu domain are selected from nine insect species that represent orders of Anoplura, Blattodea, Coleoptera, Diptera, Hemiptera, Hymenoptera and Lepidoptera, respectively. Concatenate residues of two cysteines (C549C550) are indicated with stars. Znev: Zootermopsis nevadensis; Bger: Blattella germanica; Nlug: Nilaparvata lugens; Amel: Apis mellifera; Phco: Pediculus humanus corporis; Ldec: Leptinotarsa decemlineata; Adar: Anopheles darlingi; Dple: Danaus plexippus; Dmel: Drosophila melanogaster; Hsap: Homo sapiens. (Online version in colour.)
Figure 3.

Phylogenetic analysis of InRs from 37 insect species. A maximum-likelihood phylogenetic tree (bootstraps with 1000 replications) is created using the full-length sequences of the tyrosine kinase domains of InRs and anaplastic lymphoma kinase (Alk). The GenBank accession numbers of InRs are indicated in electronic supplementary material, table S1. The InR1 and InR2 branches are at the upper clade (shown in green and blue lines, respectively), and orders are listed on the right. Sinv: Solenopsis invicta; Veme: Vollenhovia emeryi; Waur: Wasmannia auropunctata; Acep: Atta cephalotes; Aech: Acromyrmex echinatior; Pbar: Pogonomyrmex barbatus; Lhum: Linepithema humile; Csol: Ceratosolen solmsi marchali; Nvit: Nasonia vitripennis; Aros: Athalia rosae; Hsal: Harpegnathos saltator; Fari: Fopius arisanus; Mdem: Microplitis demolitor; Mrot: Megachile rotundata; Amel: Apis mellifera; Bimp: Bombus impatiens; Bter: Bombus terrestris; Phcor: Pediculus humanus corporis; Znev: Zootermopsis nevadensis; Bger: Blattella germanica; Ldec: Leptinotarsa decemlineata; Tcas: Tribolium castaneum; Bmor: Bombyx mori; Dple: Danaus plexippus; Hmel: Heliconius melpomene; Msex: Manduca sexta; Pxyl: Plutella xylostella; Mdes: Mayetiola destructor; Aaeg: Aedes aegypti; Agam: Anopheles gambiae; Dmel: Drosophila melanogaster; Bdor: Bactrocera dorsalis; Ccap: Ceratitis capitata; Nlug: Nilaparvata lugens; Apis: Acyrthosiphon pisum; Cflo: Camponotus floridanus; Clec: Cimex lectularius; Acol: Atta colombica; Hsap: Homo sapiens. (Online version in colour.)
The phylogenetic tree also led to questions whether InR2 was a novel evolved gene or a redundant gene that was lost during the evolutionary process in some insect species. Phylogenomic analyses based on 1478 protein-coding genes from 103 insect species showed that the origins of Hemiptera and Hymenoptera insects dated back to the Carboniferous and Permian periods [53], respectively. Both orders originated earlier than the Diptera insects that originated in the Triassic period. Given that Hemiptera and most Hymenoptera insects contain both InR1 and InR2, and the majority of Diptera insects only have InR1, we assume that InR2 might be an ancestral gene that was lost during the evolutionary process in some species. For those species containing two insulin receptors, InR2 might be necessary for their adaption to special ecological niches. For example, as aforementioned, the function of InR2 in the BPH is likely to leverage InR1 activity to produce alternative wing morphs, and as a result balances trade-offs between dispersal and reproduction in response to environmental heterogeneity. Consequently, further analysis based on comparative genomics is needed to elucidate how evolution has modified the InR2 outcome.
5. Conclusion and prospects
The proximate molecular mechanisms of wing polymorphism have been extensively studied in some insect species, such as aphids, crickets and planthoppers, in which JH have long been considered to play critical roles [54]. Generally, the classical model proposed that the JH level above a threshold value at critical stadia represses wing development, and thus short-winged morphs emerge, and vice versa. In this review, we introduced another layer of regulatory mechanism that regulates wing plasticity in planthoppers. Aided by genomic resources and the recently developed RNAi technique, we found that two InRs appear to act as switches to determine alternative wing morphs in planthoppers. Although we are still a long way from understanding the mechanisms underlying wing polyphenism in insects, this finding provides the first insights into the genetic network underpinning alternative wing morphs.
It is noteworthy that the molecular genetics underlying wing plasticity in planthoppers cannot fully account for the proximate causes of wing polymorphism in other insect species. For example, with regard to aphid species, they have complex life cycles showing cyclic parthenogenesis with alternating asexual and sexual generations, which has been intensively studied and reviewed elsewhere [2,3,55–57]. Instead of the short- and long-winged morphs, wingless and winged morphs were produced in most aphid species. By contrast, wing buds in the BPH intrinsically maintain the capability of developing into short or long wings, indicating that the BPH constrains the function of the insulin signalling pathway on wing size, but not on its developmental pattern. Considering the diverse evolutionary process of wing polymorphism, comprehensive studies on different insect species are warranted to answer the fundamental question of this phenotypic variation. For example, comparative analysis of wing polymorphism in aphids and crickets within the context of the accumulated knowledge of Drosophila might help reveal its intrinsic regulatory mechanism.
Given that the BPH system appears to be an ideal model for studying developmental plasticity of wing size in insects, future research should be explored to resolve questions as to how environmental cues are translated into the molecular mechanism that regulates InR2 activity, whether wing polyphenism is co-regulated by the insulin signalling pathway and JH as well as the interplay between them, and what is the precise mechanism by which InR2 modulates InR1 signalling activity.
Supplementary Material
Data accessibility
The datasets supporting this article have been uploaded as part of the electronic supplementary material.
Authors' contributions
H.-J.X. and C.-X.Z. conceived of the study. H.-J.X. carried out data analysis and drafted the manuscript. All authors gave their final approval for publication.
Competing interests
We have no competing interests.
Funding
This work was supported by the National Science Fund for Excellent Young Scholars (no. 31522047, to H.-J.X.), Zhejiang Provincial Natural Science Fund for Distinguished Young Scholars (no. LR16C140001, to H.-J.X.) and Fundamental Research Funds for the Central Universities (no. 2015XZZX004-34, to H.-J.X.).
References
- 1.Zera AJ, Denno RF. 1997. Physiology and ecology of dispersal polymorphism in insects. Annu. Rev. Entomol. 42, 207–230. ( 10.1146/annurev.ento.42.1.207) [DOI] [PubMed] [Google Scholar]
- 2.Braendle C, Davis GK, Brisson JA, Stern DL. 2006. Wing dimorphism in aphids. Heredity 97, 192–199. ( 10.1038/sj.hdy.6800863) [DOI] [PubMed] [Google Scholar]
- 3.Harrison RG. 1980. Dispersal polymorphisms in insects. Ann. Rev. Ecol. Syst. 11, 95–118. ( 10.1146/annurev.es.11.110180.000523) [DOI] [Google Scholar]
- 4.Cheng JA. 2014. Rice planthoppers in the past half century in China. In Rice planthoppers: ecology, management, socio economic and policy (eds Heong KL, Cheng J, Escalada MM), pp. 1–33. Hangzhou, China: Zhejiang University Press. [Google Scholar]
- 5.Dupo ALB, Barrion AT. 2009. Taxonomy and general biology of delphacid planthoppers in rice agroecosytems. In Planthoppers: new threats to the sustainability of intensive rice production systems in Asia (eds Heong KL, Hardy B), pp. 3–156. Los Baños, Philippines: International Rice Research Institute. [Google Scholar]
- 6.Riley JR, Cheng XN, Zhang XX, Reynolds DR, Xu GM, Smith AD, Cheng JY, Bao A D, Zhai BP. 1991. The long-distance migration of Nilaparvata lugens (Stål) (Delphacidae) in China: radar observations of mass return flight in the autumn. Ecol. Entomol. 16, 471–489. ( 10.1111/j.1365-2311.1991.tb00240.x) [DOI] [Google Scholar]
- 7.Riley JR, Reynolds DR, Mukhopadhyay S, Ghosh MR, Sarkar TK. 1995. Long-distance migration of aphids and other small insects in northeast India. Eur. J. Entomol. 92, 639–653. [Google Scholar]
- 8.Denno RF, Roderick GK. 1990. Population biology of planthoppers. Annu. Rev. Entomol. 35, 489–520. ( 10.1146/annurev.en.35.010190.002421) [DOI] [Google Scholar]
- 9.Cabauatan PQ, Cabunagan RC, Choi II-R. 2009. Rice viruses transmitted by the brownplanthopper Nilaparvata lugens Stål. In Planthoppers: new threats to the sustainability of intensive rice production systems in Asia (eds Heong KL, Hardy B), pp. 357–368. Los Baños, Philippines: International Rice Research Institute. [Google Scholar]
- 10.Otuka A. 2013. Migration of rice planthoppers and their vectored re-emerging and novel rice viruses in East Asia. Front. Microbiol. 4, 309 ( 10.3389/fmicb.2013.00309) [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Backus EA, Serrano MS, Ranger CM. 2005. Mechanisms of hopperburn: an overview of insect taxonomy, behavior, and physiology. Annu. Rev. Entomol. 50, 125–151. ( 10.1146/annurev.ento.49.061802.123310) [DOI] [PubMed] [Google Scholar]
- 12.Xue J, et al. 2014. Genomes of the rice pest brown planthopper and its endosymbionts reveal complex complementary contributions for host adaptation. Genome Biol. 15, 521 ( 10.1186/s13059-014-0521-0) [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Xu H-J, Chen T, Ma X-F, Xue J, Pan P-L, Zhang X-C, Cheng J-A, Zhang C-X. 2013. Genome-wide screening for components of small interfering RNA (siRNA) and micro-RNA (miRNA) pathways in the brown planthopper, Nilaparvata lugens (Hemiptera: Delphacidae). Insect Mol. Biol. 22, 635–647. ( 10.1111/imb.12051) [DOI] [PubMed] [Google Scholar]
- 14.Zeigler RS. 2009. Foreword. In Planthoppers: new threats to the sustainability of intensive rice production systems in Asia (eds Heong KL, Hardy B), pp. V–VI. Los Baños, Philippines: International Rice Research Institute. [Google Scholar]
- 15.Denno RF, Douglass LW, Jacobs D. 1986. Effects of crowding and host plant nutrition on a wing-dimorphic planthopper. Ecology 67, 116–123. ( 10.2307/1938509) [DOI] [Google Scholar]
- 16.Denno RF, Roderick GK, Dobel HG. 1991. Density-related migration in planthoppers (Homoptera: Delphacidae): the role of habitat persistence. Am. Nat. 138, 1513–1541. ( 10.1086/285298) [DOI] [Google Scholar]
- 17.Hu D-B, et al. 2013. Genome-wide analysis of Nilaparvata lugens nymphal responses to high-density and low-quality rice hosts. Insect Sci. 20, 703–716. ( 10.1111/j.1744-7917.2012.01571.x) [DOI] [PubMed] [Google Scholar]
- 18.Iwanaga K, Nakasuji F, Tojo S. 1987. Wing polymorphism in Japanese and foreign strains of the brown planthopper, Nilaparvata lugens. Entomol. Exp. Appl. 43, 3–10. ( 10.1111/j.1570-7458.1987.tb02194.x) [DOI] [Google Scholar]
- 19.Iwanaga K, Tojo S, Nagata T. 1985. Immigration of the brown planthopper, Nilaparvata lugens, exhibiting various responses to density in relation to wing morphism. Entomol. Exp. Appl. 38, 101–108. ( 10.1111/j.1570-7458.1985.tb03505.x) [DOI] [Google Scholar]
- 20.Iwanaga K, Tojo S. 1986. Effects of juvenile hormone and rearing density on wing dimorphism and oöcypte development in the brown planthopper, Nilaparvata lugens. J. Insect Physiol. 32, 585–590. ( 10.1016/0022-1910(86)90076-4) [DOI] [Google Scholar]
- 21.Kisimoto R. 1956. Effect of crowding during the larval period on the determination of the wing-form of an adult plant-hopper. Nature 178, 641–642. ( 10.1038/178641a0) [DOI] [Google Scholar]
- 22.Morooka S, Ishibashi N, Tojo S. 1988. Relationships between wing-form response to nymphal density and black colouration of adult body in the brown planthopper, Nilaparvata lugens (Homoptera: Delphacidae). Appl. Entomol. Zool. 23, 449–458. [Google Scholar]
- 23.Morooka S, Tojo S. 1992. Maintenance and selection of strains exhibiting specific wing form and body colour under high density conditions in the brown planthopper, Nilaparvata lugens (Homoptera: Delphacidae). Appl. Entomol. Zool. 27, 445–454. ( 10.1303/aez.27.445) [DOI] [Google Scholar]
- 24.Zhang Z. 1983. A study on the development of wing dimorphism in the rice brown planthopper, Nilaparvata lugens Stål. Acta Entomol. Sin. 26, 260–265. [Google Scholar]
- 25.Wang Q, Du J, Cheng X. 1997. Genetic studies on wing dimorphism of brown planthopper, Nilaparvata lugens (Homoptera: Delphacidae). Acta Entomol. Sin. 40, 343–348. [Google Scholar]
- 26.Zou YD, Chen JC, Wang SH. 1982. The relation between nutrient substances in the rice plant and wing dimorphism of brown planthopper (Nilaparvata lugens Stål). Acta Entomol. Sin. 25, 220–222. [Google Scholar]
- 27.Hardie J. 1980. Juvenile hormone mimics the photoperiodic apterization of the alate gynopara of aphid, Aphis fabae. Nature 286, 602–604. ( 10.1038/286602a0) [DOI] [Google Scholar]
- 28.Nijhout HF. 1999. Control mechanisms of polyphenic development in insects. Bioscience 49, 181–192. ( 10.2307/1313508) [DOI] [Google Scholar]
- 29.Zera AJ. 2003. The endocrine regulation of wing polymorphism in insects: state of the art, recent surprises, and future directions. Integr. Comp. Biol. 43, 607–616. ( 10.1093/icb/43.5.607) [DOI] [PubMed] [Google Scholar]
- 30.Zera AJ. 2009. Wing polymorphism in Gryllus (Orthoptera: Grylidae): proximate endocrine, energetic and biochemical mechanisms underlying morph specialization for flight vs. reproduction. In Phenotypic plasticity of insects: mechanisms and consequences (eds Whiteman DW, Anathakrishnan TN), pp. 609–653. Enfield, CT: Science Publishers. [Google Scholar]
- 31.Ayoade O, Morooka S, Tojo S. 1999. Enhancement of short wing formation and ovarian growth in the genetically defined macropterous strain of the brown planthopper, Nilaparvata lugens. J. Insect Physiol. 45, 93–100. ( 10.1016/S0022-1910(98)00103-6) [DOI] [PubMed] [Google Scholar]
- 32.Ayoade O, Morooka S, Tojo S. 1996. Induction of macroptery, precocious metamorphosis, and retarded ovarian growth by topical application of Precocene II with evidence of its non-systemic allaticidal effects in the brown planthopper, Nilaparvata lugens. J. Insect Physiol. 42, 529–540. ( 10.1016/0022-1910(96)00135-7) [DOI] [Google Scholar]
- 33.Ayoade O, Morooka S, Tojo S. 1996. Metamorphosis and wing formation in the brown planthopper, Nilaparvata lugens, after topical application of precocene II. Arch. Insect Biochem. Physiol. 32, 485–491. ( 10.1002/(SICI)1520-6327(1996)32:3/4%3C485::AID-ARCH20%3E3.0.CO;2-7) [DOI] [Google Scholar]
- 34.Bertuso AG, Morooka S, Tojo S. 2002. Sensitive periods for wing development and precocious metamorphosis after precocene treatment of the brown planthopper, Nilaparvata lugens. J. Insect Physiol. 48, 221–229. ( 10.1016/S0022-1910(01)00167-6) [DOI] [PubMed] [Google Scholar]
- 35.Babonis LS, Martindale MQ. 2017. Phylogenetic evidence for the modular evolution of metazoan signalling pathways. Phil. Trans. R. Soc. B 372, 20150477 ( 10.1098/rstb.2015.0477) [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Britton JS, Lockwood WK, Li L, Cohen SM, Edgar BA. 2002. Drosophila's insulin/PI3-Kinase pathway coordinates cellular metabolism with nutritional conditions. Dev. Cell 2, 239–249. ( 10.1016/S1534-5807(02)00117-X) [DOI] [PubMed] [Google Scholar]
- 37.Cantley LC. 2002. The phosphoinositide 3-kinase pathway. Science 296, 1655–1657. ( 10.1126/science.296.5573.1655) [DOI] [PubMed] [Google Scholar]
- 38.Edgar BA. 2006. How flies get their size: genetics meets physiology. Nat. Rev. Genet. 7, 907–916. ( 10.1038/nrg1989) [DOI] [PubMed] [Google Scholar]
- 39.Hietakangas V, Cohen SM. 2009. Regulation of tissue growth through nutrient sensing. Annu. Rev. Genet. 43, 389–410. ( 10.1146/annurev-genet-102108-134815) [DOI] [PubMed] [Google Scholar]
- 40.Marshall L, Rideout EJ, Grewal SS. 2012. Nutrient/TOR-dependent regulation of RNA polymerase III controls tissue and organismal growth in Drosophila. EMBO J. 31, 1916–1930. ( 10.1038/emboj.2012.33) [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Nakae J, Kido Y, Accili D. 2001. Distinct and overlapping functions of insulin and IGF-I receptors. Endocr. Rev. 22, 818–835. ( 10.1210/edrv.22.6.0452) [DOI] [PubMed] [Google Scholar]
- 42.Oldham S, Hafen E. 2003. Insulin/IGF and target of rapamycin signaling: a TOR de force in growth control. Trends Cell Biol. 13, 79–85. ( 10.1016/S0962-8924(02)00042-9) [DOI] [PubMed] [Google Scholar]
- 43.Taniguchi CM, Emanuelli B, Kahn CR. 2006. Critical nodes in signalling pathways: insights into insulin action. Nat. Rev. Mol. Cell Biol. 7, 85–96. ( 10.1038/nrm1837) [DOI] [PubMed] [Google Scholar]
- 44.Teleman AA. 2010. Molecular mechanisms of metabolic regulation by insulin in Drosophila. Biochem. J. 425, 13–26. ( 10.1042/BJ20091181) [DOI] [PubMed] [Google Scholar]
- 45.Shingleton AW, Frankino WA, Flatt T, Nijhout HF, Emlen DJ. 2007. Size and shape: the developmental regulation of static allometry in insects. BioEssays 29, 536–548. ( 10.1002/bies.20584) [DOI] [PubMed] [Google Scholar]
- 46.Brogiolo W, Stocker H, Ikeya T, Rintelen F, Fernandez R, Hafen E. 2001. An evolutionarily conserved function of the Drosophila insulin receptor and insulin-like peptides in growth control. Curr. Biol. 11, 213–221. ( 10.1016/S0960-9822(01)00068-9) [DOI] [PubMed] [Google Scholar]
- 47.Puig O, Marr MT, Ruhf ML, Tjian R. 2003. Control of cell number by Drosophila FOXO: downstream and feedback regulation of the insulin receptor pathway. Genes Dev. 17, 2006–2020. ( 10.1101/gad.1098703) [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.Tang H-Y, Smith-Caldas MSB, Driscoll MV, Salhadar S, Shingleton AW. 2011. FOXO regulates organ-specific phenotypic plasticity in Drosophila. PLoS Genet. 7, e1002373 ( 10.1371/journal.pgen.1002373) [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49.Emlen DJ, Warren IA, Johns A, Dworkin I, Lavine LC. 2012. A mechanism of extreme growth and reliable signaling in sexually selected ornaments and weapons. Science 337, 860–864. ( 10.1126/science.1224286) [DOI] [PubMed] [Google Scholar]
- 50.Xu H-J, et al. 2015. Two insulin receptors determine alternative wing morphs in planthoppers. Nature 519, 464–467. ( 10.1038/nature14286) [DOI] [PubMed] [Google Scholar]
- 51.Gustafson TA, Rutter WJ. 1990. The cysteine-rich domains of the insulin and insulin-like growth factor I receptors are primary determinants of hormone binding specificity. Evidence from receptor chimeras. J. Biol. Chem. 265, 18 663–18 667. [PubMed] [Google Scholar]
- 52.Rafaeloff R, Patel R, Yip C, Goldfine ID, Hawley DM. 1989. Mutation of the high cysteine region of the human insulin receptor alpha-subunit increases insulin receptor binding affinity and transmembrane signaling. J. Biol. Chem. 264, 15 900–15 904. [PubMed] [Google Scholar]
- 53.Misof B, et al. 2014. Phylogenomics resolves the timing and pattern of insect evolution. Science 346, 763–767. ( 10.1126/science.1257570) [DOI] [PubMed] [Google Scholar]
- 54.Nijhout HF. 1994. Insect hormones. Princeton, NJ: Princeton University Press. [Google Scholar]
- 55.Brisson JA. 2010. Aphid wing dimorphisms: linking environmental and genetic control of trait variation. Phil. Trans. R. Soc. B 365, 605–616. ( 10.1098/rstb.2009.0255) [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56.Müller CB, Williams IS, Hardie J. 2001. The role of nutrition, crowding and interspecific interactions in the development of winged aphids. Ecol. Entomol. 26, 330–340. ( 10.1046/j.1365-2311.2001.00321.x) [DOI] [Google Scholar]
- 57.Simpson SJ, Sword GA, Lo N. 2011. Polyphenism in insects. Curr. Biol. 21, R738–R749. ( 10.1016/j.cub.2011.06.006) [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
The datasets supporting this article have been uploaded as part of the electronic supplementary material.
