Literature DB >> 23301175

Development and evolution of caste dimorphism in honeybees - a modeling approach.

Olof Leimar1, Klaus Hartfelder, Manfred D Laubichler, Robert E Page.   

Abstract

The difference in phenotypes of queens and workers is a hallmark of the highly eusocial insects. The caste dimorphism is often described as a switch-controlled polyphenism, in which environmental conditions decide an individual's caste. Using theoretical modeling and empirical data from honeybees, we show that there is no discrete larval developmental switch. Instead, a combination of larval developmental plasticity and nurse worker feeding behavior make up a colony-level social and physiological system that regulates development and produces the caste dimorphism. Discrete queen and worker phenotypes are the result of discrete feeding regimes imposed by nurses, whereas a range of experimental feeding regimes produces a continuous range of phenotypes. Worker ovariole numbers are reduced through feeding-regime-mediated reduction in juvenile hormone titers, involving reduced sugar in the larval food. Based on the mechanisms identified in our analysis, we propose a scenario of the evolutionary history of honeybee development and feeding regimes.

Entities:  

Keywords:  Caste determination; developmental evolution; plasticity; polyphenism; social insects

Year:  2012        PMID: 23301175      PMCID: PMC3539003          DOI: 10.1002/ece3.414

Source DB:  PubMed          Journal:  Ecol Evol        ISSN: 2045-7758            Impact factor:   2.912


Introduction

Eusocial insects are characterized by a reproductive division of labor and overlapping generations (Michener 1969; Wilson 1971; Hölldobler and Wilson 2009). In the highly eusocial insects, there is a queen–worker caste dimorphism, with morphologically and physiologically distinct reproductive queens and more or less sterile workers, which involves a division of labor that includes brood care. A honeybee queen may lay up to 2000 eggs per day during the spring, whereas workers normally only lay eggs in the absence of the queen and young larvae. Queens and workers display strong diphenism where workers have a much lower body mass than queens (Fig. 1; Linksvayer et al. 2011), have two small ovaries containing few ovarioles, a vestigial spermatheca, a barbed sting used in defense of the nest, and mid and hind leg structures adapted for pollen collection and transport. Queens, on the other hand, have two large ovaries that contain many more ovarioles. In addition, the queen has a shorter tongue, nonbarbed sting, and lacks the pollen collection structures on the legs.
Figure 1

A honeybee queen (center left) attended by her retinue of workers. Photo by Harry H. Laidlaw Jr.

A honeybee queen (center left) attended by her retinue of workers. Photo by Harry H. Laidlaw Jr. A major concern for the study of social insects is to explain how the caste dimorphism evolved. This dimorphism is a well-studied and intriguing case of developmental plasticity and polyphenism, which throws light on such basic issues as whether plasticity is a continuous reaction norm or a discontinuous switching between phenotypes (Nijhout 2003). It has the striking property that socially determined environmental circumstance plays a role in inducing the dimorphic development, for instance through the feeding behavior of nurse workers. In this sense, the emergence of caste dimorphism is an example of developmental evolution that includes the colony level, in that the environmental input to a developing larva becomes socially regulated. The evolution of caste dimorphism thus involves changes both in the rearing of larvae and in the developmental response to the rearing. Our aim is to elucidate this coevolutionary process. This entails an identification of the basic properties of the rearing procedure, for instance the ingredients of the larval diet that act as cues for development, and the nature of the developmental response to the rearing. We approach the question using a mathematical model. Traditionally, ideas about the regulation of development have played significant roles in conceptual treatments of caste polyphenism (Wheeler 1986; West-Eberhard 1996; Linksvayer and Wade 2005; Page and Amdam 2007), but so far, there has been no comprehensive analysis that synthesizes what is known about the developmental evolution of this syndrome. We perform such an analysis for the well-studied case of the honeybee by constructing a model of the rearing and development of queens and workers, based on available information about developmental and behavioral processes, and then comparing the model results with experimental data on the caste morphospace obtained from hive and laboratory rearing of larvae. Among the important components of the model are, first, the implementation of distinct nurse feeding regimes for worker- and queen-destined larvae and, second, the regulation of worker ovary development, and hence worker reproductive potential, by programmed cell death (PCD) of ovarioles (Schmidt Capella and Hartfelder 1998, 2002) as a response to nurse-mediated food restriction. Ovariole PCD may have been present in some form before the evolution of the honeybee caste dimorphism and might have been co-opted into this developmental system. PCD is a component of the developmental regulation of reproductive investment in many different organisms (Baum et al. 2005). There are also observations of ovariole PCD influencing caste development in stingless bees (Boleli et al. 1999), although this developmental process is probably not homologous to that in honeybees, because it occurs in pupal rather than larval development and results in the complete destruction of the ovaries. One possibility for the evolution of PCD as a way of regulating reproduction is that it was originally a general starvation response, which was exploited by honeybee nurses in order to control ovary development in worker larvae. The diets of honeybee queen and worker larvae are controlled by the feeding behavior of nurse workers. There are queen–worker differences in the amounts fed (such that queens get more), but also differences in the diet composition. A number of properties of the larval diet have been suggested to influence or determine caste development (Dietz and Haydak 1971; Asencot and Lensky 1976, 1985, 1988; Chittka and Chittka 2010; Kamakura 2011). For our modeling, diet differences that contribute to differential queen–worker development are the most important. So, for instance, the sugar content of the diet is a crucial input from the nurses to the larvae, such that the sugar concentration in the food provided to 1- to 3-day-old worker larvae is considerably lower than that provided to queens, and this is known to influence the developmental trajectory (Asencot and Lensky 1976, 1985, 1988). As an another possibility, a recent study (Kamakura 2011) showed that royalactin, a major royal jelly protein (MRJP), influences larval growth and development and is needed for the full development of a queen phenotype. Royalactin (also known as monomeric MRJP1) quantitatively affects growth and developmental rates of larvae through activation of the epidermal growth factor (EGF) receptor (Egfr) pathway (Kamakura 2011). However, hive-reared larvae are continuously fed fresh royal jelly (queens) or a mixed diet containing fresh royal jelly (workers), indicating that both queens and workers ingest royalactin. Queen and worker larval diets in fact contain quite similar concentrations of protein (Shuel and Dixon 1959, 1960), with essentially the same complement of MRJPs (Schmitzová et al. 1998). Based on available information, it then seems unlikely that a queen–worker diet difference in the concentration of royalactin is the sole determinant of caste in naturally reared honeybees. Royalactin might still serve as a (redundant) quantitative nutritional signal, but it appears that sugar is a more important differential determinant of the caste dimorphism. For this reason, we have chosen to focus on the sugar concentration in larval food. Two properties of the feeding regimes have particular significance in the model: a reduced sugar content of the food given to young worker-destined larvae, which lowers their metabolic rate and hemolymph juvenile hormone (JH) titer and induces ovariole PCD; and a reduced amount of food to older worker-destined larvae, which makes them smaller. A striking feature of the evolution of caste dimorphism is that social behavior, in the form of the nurse feeding regimes, has become integrated into a colony-level developmental network that produces the dimorphism (Linksvayer et al. 2011, 2012a,b). As an illustration of the colony-level integration of social behavior and individual development, we find that the discrete queen–worker dimorphism is the result of discrete feeding regimes imposed by nurse workers, whereas a range of artificial feeding regimes result in a range of phenotypes that include queen–worker intercastes.

Model

The model specifies how larval development and nurse worker feeding behavior together determine the phenotype of an individual (queen or worker) honeybee. The phenotype of an individual is two-dimensional (x, y), where x is the body size (weight) and y is the ovary size measured as total number of ovarioles (summing over both ovaries). Additional model details and explanations are presented in the Appendix.

Feeding regimes and JH profiles

In honeybee queen and worker development, the timing, quality, and amount of food delivered by nurse workers influence the JH profiles of larvae (Fig. 2a), which in turn direct the developmental trajectories of the castes. We treat the first three larval instars as one component or phase, because queens and workers each receive constant feeding schedules during this phase and because the effect of feeding during the first two instars can be overridden in the third instar (Nijhout and Wheeler 1982). Experimental manipulation of larval diet (Asencot and Lensky 1985, 1988) and topical application of JH (Nijhout and Wheeler 1982; Asencot and Lensky 1984; Antonialli and da Cruz-Landim 2009) have established that the sugar content of the food during the third and fourth instars (L3 and L4) influences the hemolymph JH titer, and that this in turn determines queen versus worker development. As illustrated in Figure 2b, we model the influence of L3 diet q1 on JH as
Figure 2

Feeding regimes and hormonal profiles of developing queens and workers. (a) The hemolymph JH titers (pmol/mL) of queens (blue curve) and workers (dashed blue) respond to the feeding regimes imposed by nurses. Queen food is unrestricted and contains about 12% sugar (light blue bar), whereas worker food changes over development (multicolored bar). During the first three instars (L1–L3) worker food is unrestricted, but contains only around 4% sugar (green). Feeding is restricted in the fourth instar (pink) and in the fifth, the sugar content is increased (orange). After nurses seal the worker cells (LS), workers starve (gray) through to the prepupal stage (PPW), whereas queen cells are mass provisioned at sealing, so queens continue feeding until the prepupal stage (PPQ). (b) The L3 JH titer h1 is a response to diet sugar content (q1; normalized to a 0–1 range), and influences growth and development. (c) The L4 JH titer h2 is a response to both L1–L3 and L4 diet (blue curve, q1 = 0.75; dashed blue, q1 = 0.25). High JH titers protect ovarioles from PCD, induced when ecdysteroid titers rise to initiate metamorphosis (beige curves in [a]). Based on Asencot and Lensky (1988), Rembold et al. (1980), Rembold (1987), Rachinsky et al. (1990) and Shuel and Dixon (1968), the curves in (a) are LOESS fits to empirical data.

where h1 is the base-10 logarithm of the JH titer in L3 (Fig. 2a) and h1, h1, s, and q0 are parameters. In the same way, the JH titer in L4 depends on the L3 and L4 diet (Fig. 2c), Feeding regimes and hormonal profiles of developing queens and workers. (a) The hemolymph JH titers (pmol/mL) of queens (blue curve) and workers (dashed blue) respond to the feeding regimes imposed by nurses. Queen food is unrestricted and contains about 12% sugar (light blue bar), whereas worker food changes over development (multicolored bar). During the first three instars (L1–L3) worker food is unrestricted, but contains only around 4% sugar (green). Feeding is restricted in the fourth instar (pink) and in the fifth, the sugar content is increased (orange). After nurses seal the worker cells (LS), workers starve (gray) through to the prepupal stage (PPW), whereas queen cells are mass provisioned at sealing, so queens continue feeding until the prepupal stage (PPQ). (b) The L3 JH titer h1 is a response to diet sugar content (q1; normalized to a 0–1 range), and influences growth and development. (c) The L4 JH titer h2 is a response to both L1–L3 and L4 diet (blue curve, q1 = 0.75; dashed blue, q1 = 0.25). High JH titers protect ovarioles from PCD, induced when ecdysteroid titers rise to initiate metamorphosis (beige curves in [a]). Based on Asencot and Lensky (1988), Rembold et al. (1980), Rembold (1987), Rachinsky et al. (1990) and Shuel and Dixon (1968), the curves in (a) are LOESS fits to empirical data. There is a similar relation for the JH titer h3 in L5 which contains a number of parameters.

Reproductive allocation

The JH titer causes developing ovariole primordia to be rescued from PCD (Schmidt Capella and Hartfelder 1998, 2002), in a process spanning L3, L4, and early L5 (Dedej et al. 1998; Antonialli and da Cruz-Landim 2009). We model this process as a distribution of rescue thresholds for ovarioles. In each of the phases, a proportion of the ovarioles are available for rescue by the JH titers h1, h2, and h3, respectively. Let h be the rescuing threshold of an ovariole, in the sense that ovariole PCD is prevented if the log JH titer h is above the threshold: h > h. We assume that there is random variation in the rescue threshold between ovarioles, such that h is normally distributed with mean μ0 and standard deviation σ0. A proportion r1 of the ovarioles are available for rescue by h1, and similarly the proportions r2 and r3 by h2 and h3, respectively (r1 + r2 + r3 = 1). Assuming that the distribution of rescue thresholds is the same for the different phases, the number of ovarioles after PCD, as a function of the JH titers, is where F is the standard normal cumulative distribution function and y0 is the number of developing ovarioles present before the onset of PCD. See Figure 3 for an illustration of the reproductive allocation. In this way, the larval development of ovariole primordia and the diet-modulated, and thus nurse-controlled, JH profile together determine the number of ovarioles of the adult insect. Although one might have expected that queen larval development involves laying down more ovariole primordia than worker larval development, this is not the case in honeybees (Hartfelder and Steinbrück 1997), so we ignore this possibility in the model. Apart from ovarioles, there are other important consequences of the JH titer, including higher respiration rates in queen-destined larvae (Shuel and Dixon 1959; Eder et al. 1983), accompanied by higher feeding expectation and higher potential growth rate.
Figure 3

Reproductive allocation, for a case where ovarioles are only available for rescue in L4, so that r2 = 1 in equation (4). (a) The probability distribution of rescue thresholds: an ovariole is rescued if h2 > h. (b) The resulting relation from equation (4). The example illustrated by the shading, indicating that ovarioles with thresholds less than h2 are rescued, corresponds to a worker allocation of ovarioles. Ovariole number (y) is given as a sum of the ovariole numbers of both ovaries.

Reproductive allocation, for a case where ovarioles are only available for rescue in L4, so that r2 = 1 in equation (4). (a) The probability distribution of rescue thresholds: an ovariole is rescued if h2 > h. (b) The resulting relation from equation (4). The example illustrated by the shading, indicating that ovarioles with thresholds less than h2 are rescued, corresponds to a worker allocation of ovarioles. Ovariole number (y) is given as a sum of the ovariole numbers of both ovaries.

Critical weight and size determination

Certain of the mechanistic aspects of larval growth and metamorphosis in holometabolous insects are well established and are thought to hold generally, so they should also apply to honeybees. These include the basic observation that larval growth tends to follow Dyar's rule, stating that the proportional size increase between successive instars is approximately constant, which holds for honeybees (Rembold et al. 1980; Cnaani and Hefetz 2001), as well as the regulatory role of the so-called critical weight (Mirth and Riddiford 2007). In the model, the L4 diet q2 influences the critical weight u and the amount q3 fed during L5 influences the postcritical growth increment v (these equations are illustrated in Fig. 4), and u and v together determine the final weight
Figure 4

Determination of the larval critical weight and postcritical growth increment. (a) Larval critical weight u (mg) as a function of the L4 diet q2, as given by equation (5). (b) The postcritical growth increment v (mg) as a function of the L5 diet q3, as given by equation (6).

where the parameter a0 gives the proportional reduction in weight, from the maximal larval weight to the adult weight at eclosion. In summary, the model of size determination we use is inspired by previous modeling of insect growth (Nijhout et al. 2006, 2010). The L4 feeding determines the critical weight and after critical weight has been reached in L5, there is a more or less fixed time interval in which a larva will continue to feed. The weight increment it achieves in this final period of growth is determined by the quantity of the food it receives. Determination of the larval critical weight and postcritical growth increment. (a) Larval critical weight u (mg) as a function of the L4 diet q2, as given by equation (5). (b) The postcritical growth increment v (mg) as a function of the L5 diet q3, as given by equation (6). Finally, in addition to the effects directly represented in the model, it is likely that the target of rapamycin (TOR), Egfr and insulin signaling pathways are involved in the determination of size (Mirth and Riddiford 2007; see also Wheeler et al. 2006; Patel et al. 2007; Kamakura 2011 for honeybees), as well as in honeybee caste determination in general (Wheeler et al. 2006; Patel et al. 2007; Kamakura 2011; Mutti et al. 2011). However, at least for insulin signaling, there is no simple relation with growth rates or molecular markers of oxidative metabolism in queen and worker honeybees (Azevedo and Hartfelder 2008; Azevedo et al. 2011).

Results

Data on body mass and the number of ovarioles of honeybees reared under diverse conditions, including artificial and hive rearing, show that these two key caste-dimorphic characters are correlated and vary continuously, forming a single cloud in phenotypic space rather than two distinct clouds (Fig. 5a). Two clouds would be expected if the caste dimorphism arises from a developmental switch intrinsic to a larva. The single cloud indicates that the switch is extrinsic and controlled by the nurses: when nurse bees control the feeding of larvae, two distinct distributions of phenotypes are observed (the boxes in Fig. 5a). The model output spans the observed phenotype space, allowing for variation in the quality and quantity of feeding and variation in model parameters (Fig. 5a).
Figure 5

The queen–worker ovary size versus body size spectrum. (a) The cloud of light green points represents observed body weights (mg) and total ovariole counts of individual honeybees from different origins and reared under varied conditions (hive reared, cross-fostered as well as laboratory reared; 3610 individuals (Linksvayer et al. 2011; Page and Fondrk 1995; Kaftanoglu et al. 2010). The cloud maps out a total phenotypic space. The green boxes delineate the phenotypic subspaces of hive-reared individuals, showing that the distinctness of queens and workers is a consequence of distinct feeding regimes imposed by nurses. The model generated, fitted phenotype set (orange curve) illustrates the effect of variation in food quality and quantity (q1, q2, and q3 vary in parallel from 0.1 to 0.9). Two model variants are shown, where larvae either have a stronger (upper gray curve) or weaker (lower gray curve) JH response to the quality and quantity of food. (b) Observed and model-fitted phenotype sets of workers of two strains of honeybees, selected for either high (blue points and curve) or low (red) pollen hoarding behavior (Kaftanoglu et al. 2011; Linksvayer et al. 2011). The model fits entail a less threshold-like JH response to the diet for high-strain bees as compared with low-strain bees. The gray lines show the effects of high- versus low-strain-rearing environments on the model fits (solid gray: reared by high-strain nurses; dashed gray: reared by low-strain nurses).

The queen–worker ovary size versus body size spectrum. (a) The cloud of light green points represents observed body weights (mg) and total ovariole counts of individual honeybees from different origins and reared under varied conditions (hive reared, cross-fostered as well as laboratory reared; 3610 individuals (Linksvayer et al. 2011; Page and Fondrk 1995; Kaftanoglu et al. 2010). The cloud maps out a total phenotypic space. The green boxes delineate the phenotypic subspaces of hive-reared individuals, showing that the distinctness of queens and workers is a consequence of distinct feeding regimes imposed by nurses. The model generated, fitted phenotype set (orange curve) illustrates the effect of variation in food quality and quantity (q1, q2, and q3 vary in parallel from 0.1 to 0.9). Two model variants are shown, where larvae either have a stronger (upper gray curve) or weaker (lower gray curve) JH response to the quality and quantity of food. (b) Observed and model-fitted phenotype sets of workers of two strains of honeybees, selected for either high (blue points and curve) or low (red) pollen hoarding behavior (Kaftanoglu et al. 2011; Linksvayer et al. 2011). The model fits entail a less threshold-like JH response to the diet for high-strain bees as compared with low-strain bees. The gray lines show the effects of high- versus low-strain-rearing environments on the model fits (solid gray: reared by high-strain nurses; dashed gray: reared by low-strain nurses). The relationship between body mass and ovariole number, however, is not fixed, but can differ among genotypes of honeybees and is selectable (Figs. 5b, 6). For the high and low pollen hoarding strains (Page and Fondrk 1995), selection for more stored pollen resulted in worker bees with a greater tendency to collect pollen and more ovarioles. From the model fitting (details in the Appendix), the higher number of ovarioles of high-strain workers, as well as the higher body weight–ovariole number correlation for these workers (Figs. 5b, 6), is explained by a higher (Amdam et al. 2010). Based on the model fitting, this difference in JH response to diet is statistically significant (see Appendix). Cross-fostering and laboratory-rearing studies have previously shown that larvae of the two strains respond differently to nutritional inputs with regard to the relationship between ovariole number and body size, as well as to other queen–worker dimorphic traits (Linksvayer et al. 2011).
Figure 6

Observed and model-fitted phenotypes of queens and workers of two strains of honeybees, selected for either (a) high or (b) low pollen hoarding behavior (Linksvayer et al. 2011). Body weights and ovariole numbers are shown on logarithmic scales. The worker data and model fit (lower left cloud in (a) and (b)) are the same as those shown in Figure 5b.

Observed and model-fitted phenotypes of queens and workers of two strains of honeybees, selected for either (a) high or (b) low pollen hoarding behavior (Linksvayer et al. 2011). Body weights and ovariole numbers are shown on logarithmic scales. The worker data and model fit (lower left cloud in (a) and (b)) are the same as those shown in Figure 5b. Model fitted JH titers as a function of diet for high- (blue) and low-strain (red) bees in the middle (a) and late (b) phases of the feeding regime. The horizontal gray line indicates the mean ovariole rescue threshold μ0. In addition to the difference between strains in developmental responses to feeding, differences in the feeding regimes of nurses have been inferred (Linksvayer et al. 2011). Our model fitting indicates that the quality/quantity of the L4 worker diet supplied by low-strain workers is higher than that supplied by high-strain workers (this difference is statistically significant; see Appendix). In conjunction with the differences in developmental responses between high- and low-strain larvae, the effect is that the ovariole numbers of high-strain workers respond more strongly than low-strain workers to this larval diet variation, as illustrated in Fig. 5b (dashed and solid gray lines). This result is consistent with the findings of Linksvayer et al. (2011). As seen in Figure 2a, the queen feeding regime is relatively simple, with ad libitum feeding of secretions from nurse workers' hypopharyngeal glands throughout the larval development. Workers, on the other hand, require a more complicated feeding program that includes phases with lower sugar content and restricted amounts. The more complex nutritional program of the worker larva, compared with the queen larva, provides a clue to the evolutionary history of the queen and worker phenotypes and suggests the scenario in Table 1. In the scenario, larval and nurse bee control of caste development evolve together, such that larvae evolve to respond appropriately to the nutritional inputs of the nurse bees, and nurse bees evolve the appropriate feeding behavior and glandular nutritional components to shape the queen and worker phenotypes. This joint evolution of the developmental program of caste differentiation is a signature of colony-level selection and gives rise to a superorganism (Hölldobler and Wilson 2009; Linksvayer et al. 2011).
Table 1

Evolutionary history of honeybee development and feeding regimes

StageDevelopmental state or changeFeeding regime
0Ancestral nutrition-related ovariole length – body size allometry; ancestral ovariole number (total 8)Ancestral seasonal variation in feeding of larvae, with more workers per larva, and thus more food, toward the end of the season; mass provisioning with all food of similar, high quality
1Same nutrition-related ovariole length and body size variation as before, but a greater amplitude (bigger “queens”)Simultaneous differential feeding of individuals, with more food to “queens” and restricted food to “workers” during the last larval instar; the increased caste dimorphism is favored by larger colony size
2Increased ovariole numbers, favored by larger colony size in combination with swarm founding by old queens; ovariole primordia develop early and there is nutrition- and JH-mediated ovariole PCD (in parallel, male testiole numbers also increase)Same differential feeding as before
3Increased amplitude in JH-mediated ovariole number variation, providing the colony advantage of the L1-L4 diet manipulationWorker-destined larvae are fed less in L4 and the sugar content of the L1-L4 worker diet is lowered; no change in L5 sugar content, which is needed for metamorphosis (Shuel and Dixon 1968)
4Divergence of other queen and worker traits, as signaled by the differential feeding regimesQueen feeding regime essentially the ancestral one; honeybee worker feeding regime now in place
5Extant honeybee developmentExtant honeybee queen and worker feeding regimes

The scenario starts form a primitively eusocial ancestral state (Kawakita et al. 2008; Cardinal and Danforth 2011) and proceeds to the current honeybee state. In each of the stages 1–4, there is evolutionary change in the larval development and/or the nurse feeding regimes.

Evolutionary history of honeybee development and feeding regimes The scenario starts form a primitively eusocial ancestral state (Kawakita et al. 2008; Cardinal and Danforth 2011) and proceeds to the current honeybee state. In each of the stages 1–4, there is evolutionary change in the larval development and/or the nurse feeding regimes.

Discussion

The overall purpose of the model is to integrate current knowledge about the regulation of caste-dimorphic development in honeybees, providing sufficient detail to enable a fit of the model to data on realized phenotypes. In particular, the model gives an explanation for the observed correlation of body weight and ovariole number: the correlation derives from a partial overlap and correlation of the feeding-regime-mediated inputs to the determination of body weight and ovariole number of developing larvae. Other caste-dimorphic characters such as mandible shape, development of the corbicula and pollen brush (pollen collecting apparatus of workers), and wax mirrors (part of the wax producing glands of workers) also vary continuously, are determined at different stages of development, and correlate to a greater or lesser degree with body weight and ovariole number (Dedej et al. 1998; Linksvayer et al. 2011). The model allows us to pinpoint the differences in the developmental responses of body weight and ovariole number to diet between high- and low-strain bees (Figs. 5b, 6, 7), as well as the differences between the feeding regimes of high- and low-strain nurses. These differences are the result of selection on a colony-level trait, the amount of stored pollen (Page and Fondrk 1995), illustrating the integration of colony-level processes and individual larval development (Linksvayer et al. 2009, 2011, 2012a,b). According to our analysis here, the high-strain worker larvae have, by way of a higher and more diet-responsive JH titer, become modified to rescue a higher proportion of their ovarioles, but at the same time, the high-strain nurses have lowered the quality/quantity of the diet provided to L4 worker larvae, such that, to a degree, the diet change counteracts the increase in ovariole number. The net result is that adult high-strain workers have somewhat more ovarioles and a slightly lower body weight compared with low-strain workers (Fig. 5b).
Figure 7

Model fitted JH titers as a function of diet for high- (blue) and low-strain (red) bees in the middle (a) and late (b) phases of the feeding regime. The horizontal gray line indicates the mean ovariole rescue threshold μ0.

The representation of the developmental mechanisms in the model provides a conceptual framework for evolutionary scenarios such as the one shown in Table 1, entailing a joint and successive evolution of the model-represented components of the developmental program. The scenario in Table 1 is not intended to suggest that there is a single evolutionary route or series of steps toward high social complexity in bees. In fact, another group of corbiculate bees, the stingless bees (Meliponini), has reached similar levels of social complexity, also involving larval provisions, body size diphenism, and caste differences in the JH titer (Hartfelder and Rembold 1991), but without caste differences in ovariole number. This difference implies an early branching in corbiculate bee social evolution after stage 1 of Table 1, with Apini on one branch and Bombini and Meliponini on the other (Kawakita et al. 2008; Cardinal and Danforth 2011). Such alternative routes are consistent with the distinct forms of swarm founding in Apini and Meliponini, which have a relation to a parallel versus serial organization of the egg maturation in queens, in the form of more but shorter versus fewer but longer ovarioles. In Apini, old queens establish colonies by swarming and can benefit from many ovarioles and a correspondingly shorter abdomen, by combining a high egg-laying capacity with efficient flight (stage 2 of Table 1), whereas in Meliponini young queens establish colonies by swarming, at an age before their ovarioles have been activated. Mature, egg-laying queens of stingless bees are incapable of flying, partly because their abdomens are greatly distended, and they are referred to as physogastric queens. From the perspective presented here, a honeybee colony, just as the colonies of other social insects, acts as a regulatory network, with both development and behavior associated with differential gene expression profiles (Evans and Wheeler 2000). Gene batteries are the ultimate targets of such regulatory states, and in honeybee caste development, these are not only composed of cis–trans regulatory networks (Evans and Wheeler 2000; Cristino et al. 2006) but also involve extensive epigenetic modification (Kucharski et al. 2008). Moreover, signals that activate or deactivate gene batteries are coming not only from cells within an organism, but are also the result of the behavioral interactions between the developing larvae, the nurse worker bees, and the queen. One signaling mechanism involves nutrition – the timing, amount, and quality of food. The colony-level social network is part of an extended regulatory network, where nurse behavior influences the development of individual larval phenotypes. The colony is then a superorganism (Hölldobler and Wilson 2009), in the sense of a developmental unit, for which the regulation of the caste dimorphism is a primary task.
Table A1

Parameter values

ParametersValuesEquationsMethod of estimation
2.12, 1.93, 1.47(1), (2), (3)Data in Fig. 1
2.94, 2.89, 2.60(1), (2), (3)Data in Fig. 1
0.5, 0.5(2)Reasonable values
0.25, 0.50, 0.25(3)Reasonable values
0.05, 0.45, 0.5(4)Dedej et al. (1998)
0.0, 6.0, 0.5(5), (6)Reasonable values
a00.60(7)Stabe (1930), Weiss(1974)
10.48, 29.62(1), (2), (3)MCMC
0.518, 0.479(1), (2), (3)MCMC
2.41, 0.30(4)MCMC
265.8, 245.3(4)MCMC
134.6, 129.6(5)MCMC
136.4, 159.9(5)MCMC
185.3, 209.1(6)MCMC
0.024, 0.100MCMC
0.10, 0.12MCMC
0.42, 0.19MCMC
−0.072, 0.052MCMC
−0.002, 0.002MCMC
−0.012, 0.019MCMC

Versions of the parameters for high and low strain bees are indicated with subscripts H and L. Apart from the parameters appearing in the equations, the table contains estimates of variance components and feeding quality/quantity deviations (see text for further explanation).

  32 in total

1.  IRS and TOR nutrient-signaling pathways act via juvenile hormone to influence honey bee caste fate.

Authors:  Navdeep S Mutti; Adam G Dolezal; Florian Wolschin; Jasdeep S Mutti; Kulvinder S Gill; Gro V Amdam
Journal:  J Exp Biol       Date:  2011-12-01       Impact factor: 3.312

2.  Royalactin induces queen differentiation in honeybees.

Authors:  Masaki Kamakura
Journal:  Nature       Date:  2011-04-24       Impact factor: 49.962

Review 3.  Development and evolution of adaptive polyphenisms.

Authors:  H Frederik Nijhout
Journal:  Evol Dev       Date:  2003 Jan-Feb       Impact factor: 1.930

Review 4.  Programmed cell death in the germline.

Authors:  J S Baum; J P St George; K McCall
Journal:  Semin Cell Dev Biol       Date:  2005-01-21       Impact factor: 7.727

5.  Cell death in ovarioles causes permanent sterility in Frieseomelitta varia worker bees.

Authors:  I C Boleli; Z L Paulino-Simões; M M Gentile Bitondi
Journal:  J Morphol       Date:  1999-12       Impact factor: 1.804

6.  Larval and nurse worker control of developmental plasticity and the evolution of honey bee queen-worker dimorphism.

Authors:  T A Linksvayer; O Kaftanoglu; E Akyol; S Blatch; G V Amdam; R E Page
Journal:  J Evol Biol       Date:  2011-06-23       Impact factor: 2.411

7.  Caste and metamorphosis: hemolymph titers of juvenile hormone and ecdysteroids in last instar honeybee larvae.

Authors:  A Rachinsky; C Strambi; A Strambi; K Hartfelder
Journal:  Gen Comp Endocrinol       Date:  1990-07       Impact factor: 2.822

8.  Honeybee social regulatory networks are shaped by colony-level selection.

Authors:  Timothy A Linksvayer; Michael K Fondrk; Robert E Page
Journal:  Am Nat       Date:  2009-03       Impact factor: 3.926

9.  A quantitative analysis of the mechanism that controls body size in Manduca sexta.

Authors:  H F Nijhout; G Davidowitz; D A Roff
Journal:  J Biol       Date:  2006

10.  Expression profiles during honeybee caste determination.

Authors:  J D Evans; D E Wheeler
Journal:  Genome Biol       Date:  2000-12-20       Impact factor: 13.583

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  17 in total

1.  Insulin-like peptides (AmILP1 and AmILP2) differentially affect female caste development in the honey bee (Apis mellifera L.).

Authors:  Ying Wang; Sergio V Azevedo; Klaus Hartfelder; Gro V Amdam
Journal:  J Exp Biol       Date:  2013-08-30       Impact factor: 3.312

2.  Functional response of the hypopharyngeal glands to a social parasitism challenge in Southern African honey bee subspecies.

Authors:  Zoë Langlands; Esther E du Rand; Abdullahi A Yusuf; Christian W W Pirk
Journal:  Parasitol Res       Date:  2022-01-06       Impact factor: 2.289

3.  Morphometric Identification of Queens, Workers and Intermediates in In Vitro Reared Honey Bees (Apis mellifera).

Authors:  Daiana A De Souza; Ying Wang; Osman Kaftanoglu; David De Jong; Gro V Amdam; Lionel S Gonçalves; Tiago M Francoy
Journal:  PLoS One       Date:  2015-04-20       Impact factor: 3.240

4.  Age at which larvae are orphaned determines their development into typical or rebel workers in the honeybee (Apis mellifera L.).

Authors:  Karolina Kuszewska; Michal Woyciechowski
Journal:  PLoS One       Date:  2015-04-16       Impact factor: 3.240

5.  Juvenile hormone biosynthesis gene expression in the corpora allata of honey bee (Apis mellifera L.) female castes.

Authors:  Ana Durvalina Bomtorin; Aline Mackert; Gustavo Conrado Couto Rosa; Livia Maria Moda; Juliana Ramos Martins; Márcia Maria Gentile Bitondi; Klaus Hartfelder; Zilá Luz Paulino Simões
Journal:  PLoS One       Date:  2014-01-29       Impact factor: 3.240

6.  Dimorphic ovary differentiation in honeybee (Apis mellifera) larvae involves caste-specific expression of homologs of ark and buffy cell death genes.

Authors:  Rodrigo Pires Dallacqua; Márcia Maria Gentile Bitondi
Journal:  PLoS One       Date:  2014-05-20       Impact factor: 3.240

7.  Queen and young larval pheromones impact nursing and reproductive physiology of honey bee (Apis mellifera) workers.

Authors:  Kirsten S Traynor; Yves Le Conte; Robert E Page
Journal:  Behav Ecol Sociobiol       Date:  2014-09-25       Impact factor: 2.980

8.  Extended evolution: A conceptual framework for integrating regulatory networks and niche construction.

Authors:  Manfred D Laubichler; Jürgen Renn
Journal:  J Exp Zool B Mol Dev Evol       Date:  2015-06-11       Impact factor: 2.656

9.  The transcriptomic and evolutionary signature of social interactions regulating honey bee caste development.

Authors:  Svjetlana Vojvodic; Brian R Johnson; Brock A Harpur; Clement F Kent; Amro Zayed; Kirk E Anderson; Timothy A Linksvayer
Journal:  Ecol Evol       Date:  2015-10-08       Impact factor: 2.912

10.  Evolution of Social Insect Polyphenism Facilitated by the Sex Differentiation Cascade.

Authors:  Antonia Klein; Eva Schultner; Helena Lowak; Lukas Schrader; Jürgen Heinze; Luke Holman; Jan Oettler
Journal:  PLoS Genet       Date:  2016-03-31       Impact factor: 5.917

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