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. Author manuscript; available in PMC: 2008 Dec 23.
Published in final edited form as: J Insect Physiol. 2007 Feb 16;53(5):399–410. doi: 10.1016/j.jinsphys.2007.01.010

Flight and fight

A comparative view of the neurophysiology and genetics of honey bee defensive behavior

GJ Hunt 1,*
PMCID: PMC2606975  NIHMSID: NIHMS75480  PMID: 17379239

Abstract

Honey bee nest defense involves guard bees that specialize in olfaction-based nestmate recognition and alarm-pheromone-mediated recruitment of nestmates to sting. Stinging is influenced by visual, tactile and olfactory stimuli. Both quantitative trait locus (QTL) mapping and behavioral studies point to guarding behavior as a key factor in colony stinging response. Results of reciprocal F1 crosses show that paternally inherited genes have a greater influence on colony stinging response than maternally inherited genes. The most active alarm pheromone component, isoamyl acetate (IAA) causes increased respiration and may induce stress analgesia in bees. IAA primes worker bees for ‘fight or flight’, possibly through actions of neuropeptides and/or biogenic amines. Studies of aggression in other species lead to an expectation that octopamine or 5-HT might play a role in honey bee defensive response. Genome sequence and QTL mapping identified 128 candidate genes for three regions known to influence defensive behavior.

Comparative bioinformatics suggest possible roles of genes involved in neurogenesis and central nervous system (CNS) activity, and genes involved in sensory tuning through G-protein coupled receptors (GPCRs), such as an arrestin (AmArr4) and the metabotropic GABAB receptor (GABA-B-R1).

Keywords: Aggressive behavior, Apis mellifera, Behavior genetics, Tango, 14-3-3 epsilon, Homer, PKA, Neuromodulator, Biogenic amine, Darkener of apricot

1. Introduction

Understanding the underlying cause of aggression in humans is an important problem that has benefited from the use of non-human models. With a newly sequenced genome, the honey bee offers an opportunity to study aggression in a social insect. Within insect societies, natural selection operates not just at the level of the individual, but also at the level of the colony, which favors specialization and cooperation (reviewed by Wilson, 1971). As with human societies, bees have “soldiers” that die in defense of the colony. The honey bee colony is genetically diverse because the queen mates with about 12-17 haploid males (drones). A drone transmits an identical genome to each of his daughters, resulting in genetically divergent patrilines that often differ in their tendency to perform particular tasks (e.g., Frumhoff and Baker, 1988; Page and Robinson, 1991). If too many bees participate in a stinging response, the labor force of the colony would be depleted. Honey bees use an early-warning system in which some individuals detect threats and recruit nestmates to defend the nest. Neotropical Africanized honey bees (AHB) are derived from the subspecies Apis mellifera scutellata and exhibit a higher level of defensive behavior in comparison to most European honey bee (EHB) races (Collins et al., 1982). AHB in the neotropics represent an admixture of races but appear to retain much of the African genotype and highly defensive phenotype of the introduced population (Schneider et al., 2004; Whitfield et al., 2006).

The defensive response consists of several specific behavior patterns of worker bees: stinging, guarding and pursuing (reviewed by Breed et al., 2004). These behaviors originate near the nest. Nest defense also involves recruitment through alarm pheromone. The early-warning system of the colony consists of guards in the nest entrance and several studies have emphasized the role of guards in the stinging response. Guard bees inspect incoming bees and other arthropods, and show a typical alert posture. They approach incoming bees and may fly up at a moving visual cue. Guards that are alerted by physical disturbance or agonistic encounter often extrude their sting causing release of alarm pheromone (Maschwitz, 1964). Guards engage in non-associative (unrewarded) learning; they learn to recognize nestmates based on olfactory cues from cuticular hydrocarbons (Breed et al., 1995). Non-nestmates are rejected by biting or stinging. Guard bees are a small minority of the bees that respond by stinging moving targets at the hive entrance but the number of guards in the entrance correlates with the colony stinging response and removal of guards temporarily reduces the response (Arechavaleta-Velasco and Hunt, 2003). Workers usually guard for just one to several days (Breed et al., 1988). Colonies with workers that guard for longer periods show greater stinging responses than colonies with less persistent guards (Breed and Rogers, 1991; Hunt et al., 2003a).

Interactions between nestmates are an important aspect of colony defense. For example, interactions between individuals can increase the stimulus for guarding. In mixed-genotype hives, AHB exhibited increased guarding behavior in colonies containing high proportions of AHB. Individual EHB were relatively unaffected by genotypic interactions but were less likely to initiate guarding in high-AHB hives (Hunt et al., 2003a). Similar interactions occurred in small- and large-population hives, but both AHB and EHB were more persistent at guarding in large colonies. The positive feedback on guarding behavior could be explained by either releaser or primer effects of alarm pheromone (see below) or perhaps the act of guarding causes release of neurohormones (neuropeptides or biogenic amines) that reinforce the behavior. Interactions are also important for recruitment to sting. AHB were 81% of the first few bees to sting leather flags waived directly over small, open colonies composed of 50% of each bee type. But after ten seconds of stinging activity, European nestmates were as likely to sting as African-derived bees. This phenomenon apparently was caused by recruitment, and not by the slower reaction times of EHB, since large source colonies from which these European bees were originally obtained never stung in assays repeated eight times, even though large colony populations greatly increase stinging responses (Guzmán-Novoa et al., 2004).

2. Alarm pheromones

Beekeepers are familiar with the banana-like odor of the principal active compound of honey bee alarm pheromone, isoamyl acetate, or IAA and use smoke to reduce defensive responses. Smoke reduces the stimulation of olfactory receptor neurons in the presence of IAA as measured by electroantennograms (EAGs; Visscher et al., 1995). Over 40 aliphatic and aromatic compounds have been identified in the alarm pheromone blend that is produced primarily in the Koshewnikov gland associated with the sting apparatus. The adaptive significance of this complexity is unknown (Blum and Fales, 1988; Lensky and Cassier, 1995; Slessor et al., 2005). The mandibular glands of workers also produce a compound, 2-heptanone, which can release alarm behavior, meaning bees will flicker their wings, exhibit alarm postures identical to guards, fly towards visual stimuli (moving or dark objects) and perhaps, sting. Alarm pheromone rapidly releases stinging behavior but the presence of a moving visual stimulus is usually required (Free, 1961; Ghent and Gary, 1962; Wager and Breed, 2000). Primer pheromones have longer lasting effects on behavior and physiology, and likely influence gene expression. Primer effects have not been reported for alarm pheromone, but there is recent evidence that exposure to IAA influences expression of at least one gene, the immediate early transcription factor c-Jun, in the antennal lobes of the bee brain (Alaux and Robinson, 2006).

Many alarm pheromone components act as attractants at low concentrations near the nest but at higher concentrations release attack behaviors or are repellent (Boch et al., 1970; Blum and Fales, 1988). Specific compounds of the pheromone blend vary in their effects on chemotaxis, flying and stinging (Pickett et al., 1982; Wager and Breed, 2000). The most abundant compound present in honey bee alarm pheromone, (Z)-11-eicosenol, elicits a synergistic response when combined with IAA and the mixture was as behaviorally active as an intact sting (Pickett et al., 1982). An unsaturated derivative of IAA was recently discovered in AHB, 3-methyl-2-buten-1-yl acetate, or 3M2BA (Hunt et al., 2003b). 3M2BA was as active as IAA for recruitment and mixed with IAA had a synergistic effect.

3. Age-related changes and physiological correlates of defensive behavior

Honey bees exhibit age-polyethism (reviewed by Robinson, 1992). Workers engage in within-nest tasks when young and spend the end of their lives foraging for pollen or nectar outside the nest. Young workers (nurse bees) feed brood with glandular secretions. Middle-age workers usually perform the in-nest tasks of comb building and food storing, and only a small proportion (10-15%) engage in guarding behavior prior to becoming foragers (Moore et al., 1987; Hunt et al., 2003a). Bees that respond to a disturbance by stinging or flying out of the hive are similar in age to foragers (Breed et al., 1990; Huang et al., 1994). Older workers produce more venom and alarm pheromones (Boch and Shearer, 1966; Crewe and Hastings, 1976; Whiffler et al., 1988). In one study, IAA production peaked at about 2-3 weeks of age in workers but remained low in bees caged for 6 weeks (Boch and Shearer, 1966). Perhaps the caged bees were not exposed to stimuli necessary to initiate IAA biosynthesis or physiological changes associated with worker ovarian development in the queenless state inhibited production. Older workers (Allan et al., 1987) and older drones (Vetter and Visscher, 1997) exhibit higher EAG responses to alarm pheromone. Like workers, IAA repels drones in olfactometer assays (Becker et al., 2000). Workers older than 5-7 days also stung more readily upon electrical stimulation than young workers (Kolmes and Fergusson-Kolmes, 1989; Paxton et al., 1994).

Since age has an effect on individual defensive response and highly defensive AHB begin foraging at a younger age than EHB, Giray et al. (2000) experimentally increased the age of bees in colonies by dividing them to produce demographically old or young hives. They found higher colony stinging response in ‘old’ hives, for both AHB and EHB. In addition, stinging responses correlated with the rate of behavioral development (measured as the age at which a colony’s bees take their first foraging flight) within EHB. The rate of behavioral development may influence defensive behavior by significantly increasing the proportion of ‘physiologically old’ bees. However, results of quantitative trait locus (QTL) mapping do not lend support to this conclusion because QTLs that were mapped that influence the trait ‘age at first foraging’, or AFF, were unlinked to QTLs that influence defensive behavior (Rueppell et al., 2004; Hunt et al., 1998, see below). The effect of rate of behavioral development on defensive behavior may be too small to be detected by QTL studies, or other QTLs remain to be characterized that have pleiotropic effects on these two traits.

The behavioral progression of bees correlates with juvenile hormone (JH) titer (Fluri et al., 1977; reviewed by Robinson and Vargo, 1997). JH generally increases throughout the adult stage in honey bees. Nurse bees usually have much lower JH titers than foragers, but JH levels decrease in older workers if they revert to nursing in response to experimental removal of nurses, and precocious foragers have elevated JH titers compared to same-age nurses. Some studies have suggested a positive correlation between JH titer and aggressivity. Injecting newly emerged bees with 15 or 50 μg of JH III significantly reduced aggression of workers towards foreign queens 5 days later in a lab behavioral assay (Breed, 1983). JH treatment in this case was interpreted as causing a reduction in JH titer through negative feedback because JH treatment caused a reduction in corpora allata volume after 5 days. Applying the JH analog methoprene to newly emerged bees caused an increase in alarm pheromone production (Robinson, 1985) and increased the behavioral response to either IAA or 2-heptanone 5 days after treatment, but not the EAG response (Robinson, 1987). Methoprene may provide a more prolonged JH effect because of slower uptake and metabolism. In another study, guard bees and undertakers had higher JH levels than similar-age wax producers and food storers (Huang et al., 1994). But bees that stung a target after disturbance of the hive had JH levels equivalent to foragers. Pearce et al. (2001) also looked for a connection between JH levels and aggression using a nestmate-recognition assay in which 10 bees in an arena either reject or accept an introduced foreign bee. Assay results correlated with colony defensive response and showed lower aggression during the winter when JH levels are low in bees, as compared to summer. In general, bees classified as aggressive had higher JH levels but the comparisons were between bees of unknown age, and between winter and summer bees. There was no correlation between average colony JH level and aggression. Similarly, Robinson et al. (1987) found that highly defensive AHB did not have higher JH titers than low-defensive EHB.

Stress has the potential to increase aggressive behavior in both vertebrate and invertebrate species. JH levels seem to correlate with stress in young bees. One stressful treatment is to cage bees in the laboratory. Both mortality rate and JH biosynthesis varies inversely with the number of caged bees (Huang and Robinson, 1992; Moncharmont et al., 2003). Workers caged in isolation for 5 days exhibited more aggression towards foreign queens and had larger corpora allata than those caged in groups (Breed, 1983). Caging or cold-anesthetizing nurse bees caused an increase in JH titer within just 1 h (Lin et al., 2004). Foragers that were caged also showed a change in JH titer, but their JH levels either increased if they were initially low or fell if they were initially high. This indicates that JH levels do not correlate with stress in older bees. Decoupling stress and JH levels could provide a way to test whether JH or stress causes increased aggressivity in older bees. A virus was identified in the brains of worker bees attacking hornets presented at hive entrances that was not detectable in non-attacking nestmates (Fujiyuki et al., 2004, 2005). Subsequent studies showed that other stresses also caused elevated titers of this virus (Fujiyuki et al., 2006). All these observations raise the question of whether stress increases the defensive behavior. The sacrifice of stressed individuals in colony defense would be a good adaptive strategy because colonial animals such as bees require mechanisms to remove potentially infectious diseased individuals and the residual value of stressed individuals to the colony is relatively low.

4. Possible roles of biogenic amines

Comparisons of studies in different taxa can suggest some trends in the physiological correlates of aggression. In general, aggressive behavior is episodic. It involves short bouts of activity, and agonistic encounters can be stressful for all individuals involved. Aggressive interactions or stress can cause changes in titers of specific neurohormones or neurotransmitters. The basal levels of some of these compounds have been associated with a predisposition to engage in aggressive acts. Of course, studies involving biogenic amine applications or analyses of their levels are limited by the fact that the timing, amount and sites of neurotransmitter release, the receptor subtypes, and receptor densities can all vary independently to affect neural transmission and physiology (reviewed in Page and Erber, 2002). In addition, it is difficult to draw conclusions from comparisons involving diverse taxonomic groups because species differ in neural physiology and different motivations may be involved, such as competition, predation or defense. Despite all these caveats, some underlying patterns can be recognized. Neuromodulatory systems associated with aggression in vertebrates include the biogenic amines serotonin (5-HT) and dopamine (DA), and the neurotransmitter, γ-aminobutyric acid (GABA) (Miczek et al., 2002). 5-HT levels in specific brain regions appear to play a central role as a negative regulator of aggression in vertebrate species as diverse as reptiles, fish, birds and mammals (Nelson and Chiavegatto, 2001; Summers et al., 2005; Wendland et al., 2006; Popova, 2006). In mammals, evidence from activity or polymorphisms of genes involved in serotonin metabolism and transport, serotonin receptors and results of breeding for non-aggressive behavior, all point to the role of the serotonergic system (Nelson and Chiavegatto, 2001; Popova, 2006).

5-HT also appears to play a role in agonistic behavior of arthropods. But in contrast to vertebrates, 5-HT levels are positively correlated with aggression in crustaceans (Huber et al., 1997; Kravitz, 2000; Kravitz and Huber, 2003; Panksepp et al., 2003) and response to 5-HT application may depend on dominance status (Yeh et al., 1996). 5-HT also may increase aggression in crickets (Dyakonova et al., 1999). Similarly, stress and inter-specific fighting resulted in increased 5-HT levels in an ant (Tarchalska et al., 1975). However, recent studies suggested that octopamine (OA) plays a more critical role in aggressive behavior of insects. Pharmacological studies showed that experience-dependent aggressive interactions in crickets were influenced by OA, but not 5-HT (Stevenson et al., 2005) and fighting caused an increase in OA but not 5-HT (Adamo et al., 1995). In bumblebee colonies, worker ovaries can develop at the end of the season and there is competition between workers for egg laying. Dominant bumblebees (those that either engaged in egg laying or aggressive acts) had higher OA levels than other individuals, but levels of 5-HT or DA were similar (Bloch et al., 2000). Another study involved a queenless ant species in which all workers in the colony have similar reproductive potential and compete for reproductive status. Dominant ants had higher OA, lower DA and equal 5-HT levels to subordinates (Cuvillier-Hot and Lenoir, 2006). The association of OA with insect aggression seems to make sense because OA is believed to prime insects for the ‘fight or flight’ response through a rise in cAMP or Ca2+ levels (Roeder, 2005).

In the honey bee brain, biogenic amine levels have not been correlated with stinging or guarding behaviors but OA application has been shown to affect olfactory conditioning, which is a component of guarding behavior (e.g., Erber et al., 1993; Menzel et al., 1999; Farooqui et al., 2003), and enhances nestmate recognition (Robinson et al., 1999), as well as sensitivity to specific odors during undertaker behavior (Spivak et al., 2003). Stress induced by restraining a forager by the leg causes brain levels of both OA and 5-HT to be elevated and peak in about 10 min (Harris and Woodring, 1992). In general, levels of 5-HT, OA and DA increase with age in adult bees but levels vary significantly between colonies (Fuchs et al., 1989; Harris and Woodring, 1992; Wagener-Hulme et al., 1999). There are earlier peaks in DA and 5-HT during the pupal stage and GABA and glutamate levels peak when bees are 10 days old, corresponding to the approximate age at which they are guarding or taking their first foraging flights. These peaks may reflect the role for these compounds in neural development (Fuchs et al., 1989; Taylor et al., 1992).

5. Insights from laboratory assays

Behaviors involved in colony defense are difficult to study out of social context, but lab assays have provided useful insights. Burrell and Smith used an isolated abdomen preparation to look at sting extension. Electromyogram activity of the abdomen was released by severing the ventral nerve chord and activity was highest in bees 5-7 days and older (Burrell and Smith, 1994). Abdomens from younger bees had a lower threshold for initiating sting extension by stimulation with a piezo electric buzzer, even though older bees are more likely to sting. OA injection reduced electromyogram activity during the stimulation trials but it increased the occurrence of full sting extension, an effect that lasted at least 3 h (Burrell and Smith, 1995). The authors suggested OA has multiple targets in the modulation of sting extension. Further evidence for central nervous system (CNS) inhibition of sting extension came from the repellent effect of vials that previously held a worker bee, which were then exposed to test bees. Vials that previously contained beheaded bees resulted in a longer-lasting repellent effect than those with intact bees (Balderrama et al., 1996), suggesting that the CNS inhibited sting extension and release of alarm pheromone.

Electrical stimulation of restrained bees has provided further insights into the physiology behind stinging. Morphine, but not other opioid peptides tested, caused a dose-dependent reduction of sting extension, but at a dosage much higher than typically used in vertebrate studies. Small doses of IAA applied to a vial containing five bees kept for 30 min increased subsequent voltage-induced sting extension, but larger doses of IAA resulted in a dose-dependent reduction of sting extension. The reduction in sting extension could be reversed by the opioid antagonist nalaxone. These results suggested that an endogenous opioid system is present in honey bees and that IAA causes stress-induced analgesia (Nunéz et al., 1983, 1998). Endogenous morphine and pharmacological evidence of opioid receptor activity have been detected in other invertebrates in response to stress. It has been suggested that one function of the opioid system in diverse species, from protozoa to arthropods is to suppress avoidance of pain or danger to permit alternative behavioral responses (Dyakonova, 2001). Currently, no opioid receptors have been identified in insects. It is possible that morphine in the above experiment was binding to non-opioid receptors to cause the effects observed. Perhaps IAA stimulates release of neuropeptides and/or biogenic amines to ready the bee for ‘fight or flight’. In mammals for example, a physiological “defense response” that includes increased respiration and heart rate was recently found to be dependent on the activity of the neuropeptide orexin (Zhang et al., 2006). Insect neuropeptides are often localized to specific neural circuits and act in concert with neurotransmitters to affect behavior (Nässel and Homberg, 2006). If physiological response to alarm pheromone is a result of neuropeptide release, it may be difficult to identify the receptors and ligands involved because these molecules evolve more rapidly than biogenic amine receptors (Hauser et al., 2006; Hummon et al., 2006).

Further evidence that alarm pheromone causes physiological readiness for ‘fight or flight’ comes from pioneering work showing that IAA causes a transient increase in respiration of caged bees, and that this increase correlates with colony defensive response (Southwick and Moritz, 1985). The metabolic reaction to IAA per bee increases with group size up to about 100 individuals. This group effect may be the result of secondary alarm pheromone release or behavioral interactions. Interestingly, mixtures of genotypes sometimes resulted in non-additive interactions (Moritz and Southwick, 1987). The metabolic assay has been refined and used to evaluate the defensive behavior of AHB (Andere et al., 2002). High-defensive AHB also have an inherently higher respiration rate than EHB, but whether this difference is relevant to defensive behavior is unknown (Southwick, 1990; Harrison and Hall, 1993; Harrison et al., 2005).

Electrical stimulation has been used to elicit stinging from individual, unrestrained bees. In this assay, parallel wires are electrified and a suede piece of leather is placed beneath the wires for the bee to sting. Increasing voltage or current can be used to determine the threshold of response, and workers from more defensive colonies were shown to have lower response thresholds for stinging (Kolmes and Fergusson-Kolmes, 1989). However, colony environment also affects response thresholds. Low-defensive bees only had higher response thresholds when fostered in their natal colony; when cross-fostered in a defensive colony, their response thresholds were the same as the majority of bees in the colony (Paxton et al., 1994). However, another study in which restrained bees were electrically stimulated showed a significant difference in sting extension between patrilines of workers from a naturally mated queen in a common environment (Lenoir et al., 2006). Besides using restrained bees, the latter study also differed from that of Paxton et al. in that bees were collected upon emergence and kept in small groups of 70 individuals in the laboratory without a queen and tested 12 days later. In this situation, environmental effects were not sufficiently large to prevent detection of significant differences between patrilines. In addition to differences in thresholds of response, there were qualitative differences between patriline responses. During the four stimulation periods, some patrilines responded each time with the same degree of sting extension while others showed a habituation to the stimulus.

6. Gene expression studies

Honey bee defensive behavior responds to selective breeding. Robinson and Page (1988) detected a genetic component to individual guarding behavior and a number of studies have looked at the heritability of colony stinging behavior (reviewed by Collins and Rinderer, 1991; Stort and Gonçalves, 1991). A microarray experiment compared gene expression between age-matched full sister worker bees engaging in either comb building, guarding or “undertaker” behaviors. Undertakers are bees that remove corpses from the colony. Age-matched comb builders differed from both guards and undertakers for expression of 248 cDNAs at p<0.01, which was 4.5 times more than expected by chance (Cash et al., 2005). But the number of genes differentially expressed between guards and undertakers (50) was similar to that expected by chance alone (56). Lack of differentiation in gene expression between guards and undertakers suggests that either expression differences are subtle, are limited to specific brain regions or life stages, or that similar gene expression is occurring in these two task groups. Both guards and undertakers are involved in removing bees from the hive based on olfactory cues, although the cues and actual behaviors are different for bees dealing with live versus dead bees.

Fruitflies can be selected for aggressive behavior in the context of competition for food resources or mating. Two studies recently identified candidate genes using expression profiling of lines selected for aggression in food competition. In the first study, 21 generations of selection for higher aggressivity resulted in a large (30-fold) response to the aggressive index. Differential expression of 474 and 775 genes was found between two aggressive lines and the control line (p<0.05; Dierick and Greenspan, 2006). The 80 genes with the most significant expression differences had generally higher gene expression in aggressive lines, and included genes involved in muscle contraction, Ca2+ signaling, energy metabolism and cuticle formation. In the second study, 30 generations of bi-directional selection was performed. A whole-genome microarray identified 1083 transcripts that differed between low and high lines at a false discovery rate of 0.001 (Edwards et al., 2006). Some of these candidate genes were tested functionally by assessing the aggression scores of homozygous, p-element induced mutations within the genes. Surprisingly, 15 of 19 genes tested showed altered aggression in comparison to the coisogenic control line. There were some similar trends in these two studies. Neither selection regime resulted in a change in basal locomotor activity. The most surprising consensus was that neither study identified genes involved in biogenic amine metabolism, transporters or receptors, with the exception of Catecholamines up (Edwards et al., 2006) and did not include previously identified genes involved in Drosophila aggression. Candidate genes represented a spectrum of functional categories. It will be necessary to perform QTL mapping experiments in these populations to determine which changes in gene expression are causal regulators of aggressive behavior and which are coincidental or correlated responses to selection. It may be useful to test for differential expression of genes in guards versus non-guards or AHB versus EHB.

7. Epigenetics: The paternal effect on stinging behavior

There have been numerous reports that the high-defensive colony stinging response of AHB is genetically dominant over the low-defensive EHB phenotype (see Stort and Gonçalves, 1991; DeGrandi-Hoffman et al., 1998; Guzmán-Novoa and Page, 1994; Guzmán-Novoa et al., 2002). However, data from four independent sets of reciprocal F1 crosses revealed that colony stinging behavior shows a large paternal effect (Guzmán-Novoa et al., 2005). Crosses in which the African-derived colony was used to provide the father of the F1 workers resulted in colonies that were as defensive as the African type, indicating dominant gene effects. But reciprocal crosses with European paternity resulted in colonies that were intermediate between the parental types, showing additive gene effects. The paternal effect could be the result of genomic imprinting of maternal or paternal alleles, resulting expression that is dependent on the parental origin.

According to the genomic conflict theory, selection for imprinting effects are favored by multiple paternity, and also may be favored by haplo-diploidy (reviewed by Haig, 1992; Wood and Oakey, 2006). Alleles of some mammalian genes and genomic regions are known to be differentially methylated depending on parental origin, thus reducing or eliminating transcription of one parental allele. Methylation often is limited to specific tissues and early developmental stages (Wood and Oakey, 2006). Honey bees have active CpG methylation systems more similar to humans than to Drosophila (Wang et al., 2006). Imprinting effects on defensive behavior could be an example of intra-genomic conflict in which the fitness benefit that accrues from expression of the allele is not the same for the father as it is for the mother (Haig, 2000; Queller, 2003). Reduction in the expression of maternal alleles could reduce costs associated with too great of a defensive response because either all of the workers (if the queen is homozygous) or half of the workers (if the queen is heterozygous) in a colony would inherit the maternal allele. Preferential expression of paternal alleles, on the other hand, could lead to specialization of some patrilines in colony defense (Guzmán-Novoa et al., 2005). Another potential selective advantage for paternal effects involves fights between virgin queens. Normally, there is one queen in a honey bee colony, but when virgin queens emerge concurrently, they fight until one is eliminated. Paternal expression of genes involved in aggression in queens could confer a selective advantage for the patriline that carries them.

Results of studies reviewed above suggest a model for honey bee defensive behavior that includes behavioral interactions involving guards and release alarm pheromone release, which readies worker bees for ‘fight or flight’ (Fig. 1). Specific gene effects have not been identified as of yet, but progress towards identifying causal genes is discussed below.

Fig. 1.

Fig. 1

A conceptual model of honey bee defensive behavior. Guard bee specialization is influenced by genetic effects and social interactions. Guards release alarm pheromone when they become alerted, resulting in release of neurohormones (neuropeptides or biogenic amines) that influences the ‘fight or flight’ response analogous to that of vertebrates, which includes increased metabolic rate and stress-induced analgesia. The result is a release of flight activity, searching for visual targets, and stinging behavior. Both additive and paternal genetic effects on whole-colony stinging behavior have been demonstrated, suggesting that imprinted gene expression affects defensive behavior.

8. Quantitative trait loci influencing defensive behavior

Mapping genes as QTLs has been useful for identifying genetic factors influencing aggressive behavior in a number of species but has been slow to identify causal genes (Flint, 2003; Anholt, 2004). QTL analysis involves testing for association between the inheritance of marker alleles and phenotypes. QTLs that influence colony stinging behavior were mapped in progeny of a F1 queen, which was the result of a cross between a low-defensive European colony and a high-defensive African-derived colony (Hunt et al., 1998). Each haploid drone from the F1 queen was the father of a colony (a backcross to a European queen). The colony phenotype used was the number of stings deposited in a leather “flag” waived in front of a colony, after 1 min of stinging activity. Several putative QTL were identified influencing the colony phenotype and three (sting1, sting2 and sting3) were later confirmed to influence defensive behavior of individual worker bees. Three sets of confirmation crosses were used. Each consisted of a family of backcross workers: daughters of an F1 queen mother and a haploid father from one of the two parental colonies used to make the F1 cross. Workers that were among the first few bees to sting a leather patch were collected and the process was repeated until about 100 bees were obtained from each family. Bees that stung were assayed for their genotypes at markers linked to sting1. In two studies, the ratio of high-defensive marker allele to the low-defensive allele was higher than the expected 1:1 in these ‘responders’ and significantly different from a control sample, confirming the influence sting1 on individual defensive behavior (Guzmán-Novoa et al., 2002; Arechavaleta-Velasco et al., 2003). The other two QTL, sting2 and sting3, could not be tied to individual stinging behavior but all three QTLs influenced individual guarding behavior (Arechavaleta-Velasco et al., 2003). Putative QTLs that influence the levels of specific alarm pheromone components, and others that influence individual guarding behavior have also been identified but have not been tied to genomic sequence (Hunt et al., 1999; Arechavaleta-Velasco and Hunt, 2004).

9. Candidate genes for honey bee defensive behavior

Linkage maps are based on crossovers, and the size of the honey bee linkage maps revealed that the bee has the highest reported rate of meiotic recombination for any higher eukaryote (Hunt and Page, 1995; Solignac et al., 2004; Beye et al., 2006). A high recombination rate is fortuitous for QTL mapping studies because it increases resolution of confidence intervals for QTL location. Because of the bee’s high recombination rate, it was possible to use the newly published genome sequence (HGSC, 2006) to narrow the search for genes involved in defensive behavior to a manageable number of candidate genes within the 97% confidence intervals for the three sting QTLs. Respectively for sting1, sting2 and sting3, there were only 50, 61 and 16 predicted peptides coded by the genomic DNA (Hunt et al., 2006). The average size of each confidence interval was about 40 cM in genetic distance, but they did not cover extremely large physical distances. Fine-scale mapping to reduce confidence intervals to within 5 cM would reduce the list of candidates to about five genes. In comparison, a 40 cM distance in Mus would have about 500 genes, and the same size region in Drosophila would contain about 2000 genes.

We can speculate as to which of the candidate genes are most likely to be influencing defensive behavior. Reported functions of orthologous genes in the literature provides some insights because many of the genes involved in regulation of CNS development, sensory tuning and neural signaling pathways are conserved across taxa. In addition, a small number (19) of the candidate genes have been tested by qRT-PCR for differences in transcript levels in adult bees between a high-defensive family and a low-defensive family (Hunt et al., 2006). Sting1 accounted for more of the colony phenotypic variance (about 11%) for numbers of stings than the other two QTLs. The 50 genes in this region provide an array of likely candidates. There are at least seven genes that are orthologs of genes involved in neuronal development and signaling (see Table 1). For example, 14-3-3 epsilon is a protein that is highly expressed in the nervous system and is involved in neurogenesis (Berg et al., 2003). Recent microarray expression and single nucleotide polymorphism (SNP) association studies in humans identified 14-3-3 epsilon as a potential susceptibility gene for suicide (Yanagi et al., 2005). A honey bee ortholog of the Drosophila gene tango is also present at sting1. This is a basic helix-loop-helix (bHLH) transcription factor that is important in neuronal development in Drosophila (Crews, 1998). Other bHLH transcription factors are sensors of environmental stimuli or endogenous hormones and can have multiple dimerization partners (Godlewski et al., 2006; Gorr et al., 2006). The region also contains the gene for huntingtin protein, which is a scaffolding protein that affects neuronal transcription and transport and repeats in this gene cause Huntington’s chorea (Harjes and Wanker, 2003; Li and Li, 2004). Of these three, transcription of Am14-3-3 was significantly higher (1.5-fold) in the high-defensive family of bees compared to the low-defensive family, but expression of other candidate genes also showed trends in the same direction (Hunt et al., 2006).

Table 1.

A subset of annotated genes within three QTL regions confirmed to influence stinging and guarding behaviors

QTL region Gene ID Fly ortholog Annotation/similarity
Sting 1 GB18618 CG9995 Ortholog of Huntingtin
GB19676 CG8165 Jumonji-containing 1B homolog transcription factor
GB12861 Similar to jumonji-containing 1B, possible transcription factor
GB18878 CG14591 Myocardin-related transcription factor
GB15114 CG4643 F-box containing, C. elegans ortholog is involved in synapse formation
GB15582 CG31196 Ortholog of 14-3-3 Epsilon, highly expressed in CNS, neurogenesis
GB17763 CG11987 Ortholog of tango, CNS development
GB18608 CG12346 Ortholog of cag, also similar to dan and danr, TFs involved in antennal develop
Sting 2 GB14817 CG32434 Ortholog of siz, (guanine nucleotide exchange F.) CNS development
GB12341 CG8264 Ortholog of Bx42, transcription factor, eye-antennal disk development
GB10384 CG32683 Arrestin 4, AmArr4, GPCR signaling, vision and olfaction
GB10208 CG2212 Ortholog of sws, swiss cheese; brain development, neural transmission
GB14954 CG15274 GABA-B-R1 metabotropic GABAB receptor
GB10994 Similar to to brinker transcription factor, neural and glandular development
Sting 3 GB18361 CG12073 Am5HT7 Serotonin receptor, biogenic amine receptor, cAMP signaling
GB17175 CG4379 AmPKA-C1, catalytic subunit of PKA, associative learning, response to drugs
GB14479 CG11324 Ortholog of homer; Calcium signaling, synaptic activity

Near the most likely position for sting2 is an arrestin, AmArr4. This gene is an ortholog of Dm/arr1, which binds the light-activated form of the GPCR rhodopsin in the eye and recycles it. But arr1 was recently found to be expressed in Drosophila antennae and null mutants are defective in olfaction of class I and II odorants (Merrill et al., 2005). This is a particularly interesting candidate, because of the involvement of both moving visual stimuli and olfaction in defensive behavior. AmArr4 also showed a non-significant trend towards higher expression (1.4-fold) in the defensive family of bees. Near the edge of the confidence interval for sting2 is the honey bee ortholog of the gene encoding the GABA-B-R1 receptor, which was expressed at a significantly lower level (0.63-fold) in newly emerged defensive bees but not in older bees. GABA is the principal negative regulator of neural transmission in adult insects and is involved in neural development in pre-adult stages. The GABA-B-R1 receptor has also been shown to play specific roles in the patterns of interneuron activation in response to specific odors in the antennal lobe of Drosophila (Wilson and Laurent, 2005).

Sting3 contained only 16 genes within the 97% confidence interval. A previous report indicated that the Cloned marker sequence lies near the Am5-HT7 serotonin receptor was linked to Sting3 but subsequent analyses showed that it was on a different chromosome (Hunt et al. 2006, and unpublished data). The sting3 region containes two genes known to affect behavior and neural signaling in other species, the catalytic subunit of PKA and the ortholog of homer (Table 1). In mammals, homer proteins are key regulators of signal transduction in the brain and transcription and splicing of the homer 1 gene responds rapidly to synaptic activity (Bottai et al., 2002).

10. Conclusions

The defensive behavior of honey bees involves alerting to stimuli, social interactions, release of alarm pheromone, recruitment and attack. Our understanding of the physiology and genetics of this behavior is rudimentary but rapidly increasing. Study of other species suggests that neuropeptides and biogenic amines are likely involved. Alarm pheromone causes an increase in metabolic rate and the apparent induction of stress induced analgesia, possibly mediated by neuropeptides and/or biogenic amines. The adaptive significance for the chemical complexity of the honey bee alarm pheromone is unknown but synergistic effects between components have been detected and primer effects on behavior are possible. An intriguing finding from classical genetic studies is the occurrence of a paternal effect on colony stinging response. This raises the question of whether genomic imprinting is involved in the expression of key genes influencing this behavior. Candidate genes for sting1, which showed the strongest statistical association with stinging behavior, include a number of transcription factors involved in neural development and several genes involved in neuronal signaling. These genes could be tested for paternal expression patterns during CNS development. Genes near two other defensive-behavior QTLs suggest the involvement of G-protein signaling and synaptic regulation in defensive behavior. Analysis of candidate genes should lead to testable hypotheses to obtain evidence of gene functions. Differential expression assays, use of specific agonists and antagonists of GPCRs or experimentally changing gene expression by RNA interference could provide a better understanding of the underlying causes of honey bee defensive behavior.

Acknowledgments

I am grateful to Ernesto Guzmán-Novoa and Robert E. Page for years of collaboration and fruitful discussions, and to Andrew Ammons for useful comments on the manuscript. Past support from the National Science Foundation (IBN-0110842), NIH (R29 GM548580) and USDA (35302-10137) contributed towards our research.

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