Abstract
One of the most spectacular features of social insect colonies is their division of labor. Although individuals are often totipotent in terms of the labor they might perform, they might persistently work as scouts, fighters, nurses, foragers, undertakers or cleaners with a repetitiveness that might resemble an assembly line worker in a factory. Perhaps because of this apparent analogy, researchers have often assumed a priori that such labor division must be efficient, but empirical proof is scarce. New work on Themnothorax ants shows that there might be no link between an individual's propensity to perform a task, and their efficiency at that task, nor are task specialists more efficient than generalists. Here we argue that learning psychology might provide the missing link between social insect task specialization and efficiency: just like in human societies, efficiency at a job specialty is only partially a result of “talent”, or innate tendency to engage in a job: it is much more a result of perfecting skills with experience, and the extent to which experience can be carried over from one task to the next (transfer), or whether experience at one task might actually impair performance at another (interference). Indeed there is extensive circumstantial evidence that learning is involved in almost any task performed by social insect workers, including food type recognition and handling techniques, but also such seemingly basic tasks as nest building and climate control. New findings on Cerapachys ants indicate that early experience of success at a task might to some extent determine the “profession” an insect worker chooses in later life.
Key words: ants, bees, cerapachys, cognition, interference, themnothorax, transfer
“…The improvement of the dexterity of the workman necessarily increases the quantity of the work he can perform, and the division of labor, by reducing every man's business to some one simple operation, and making this operation the sole employment of his life, necessarily increases very much the dexterity of the work man.”
“…A man commonly saunters a little in turning his hand from one sort of employment to another. When he first begins his new work… for some time he rather trifles than applies to good purpose.”
—Adam Smith (1723–1790), In: “An Inquiry into the Nature and Causes of the Wealth of Nations (1776)”.1
You might sometimes question whether your job is right for you—but chances are that you are better at the current one than you might be in many alternative professions, and that you're also better at doing your job than most other people would be. This is, in part, because you've undergone years of training to obtain the necessary skills. With some probability, you've chosen this particular career path because there were early indicators that you would succeed at it. Even if you have reason to believe that you might be good at an altogether different profession, this might require extensive retraining with substantial costs and a somewhat unpredictable outcome. However, this will depend on the similarity of the tasks: because of transferable skills, it might be feasible to switch from being an actor to a politician, but not as easily from being a scientist to a concert violinist. Indeed, Adam Smith, the father of modern economics, considered skill learning, labor division and minimization of switching costs to be key components of improved efficiency of individuals and, as a by-product, society as a whole.
Specialization = Efficiency?
These considerations should apply to any animal society, not just Homo sapiens.2 The insect societies, e.g., ants, bees and termites, arguably rule the planet, and their success, too, has been attributed to labor division, specialization, and the resulting efficiency.3 Individuals of many insect colonies are indeed often highly specialized, so that animals will predominantly engage in colony defense, nursing larvae, removing debris, or foraging only for particular commodities but not other available ones.4–7 With the exception of rigid castes, such as egg-laying “queens” or termite “soldiers”, specialists are often not distinct in morphology, and indeed largely totipotent in terms of the tasks they can potentially perform. Indeed, even though social insect specialists might perform the same routine over and over for extended periods, with the same repetitiveness as assembly line workers, they can typically switch to other activities should these become necessary. Surprisingly, there is relatively little quantitative research into the question of how specialization contributes to colony efficiency (see refs. 2, 8 and 9). The proverb that the “Jack-of-all-trades is an ace of none” is perhaps so intuitively appealing that many scientists have not deemed empirical proof necessary. Past controversies from ecology10 and psychology,11,12 however, indicate that the advantages of specialization can not be assumed a priori, and might depend fundamentally on the tasks involved, and their context.
Generalists on a par with Specialists in an Ant
In what is perhaps the most comprehensive exploration of this question to date, Dornhaus13 heroically marked 1142 Temnothorax albipennis ants from 11 colonies with paint dots (Fig. 1), so that she could identify individuals and measure their performance in four different tasks that became necessary as a result of various emergencies that required immediate attention. In the first treatment, the roof of the colony was removed, so forcing the entire colony to migrate to a new nest, and carrying the helpless brood along in the process. In the second treatment, ants were offered diluted honey and dead flies a small distance away from the colony after a period of starvation. Finally, the front wall of the ants' dwelling was removed, so that they had to scramble to obtain building material (small stones; Fig. 2).
For each individual ant, performance was quantified by averaging the duration of the first two successive trips. Performance was evaluated as a function of that individual's degree of specialization (its propensity to focus activity on only one task, or two or more). Unexpectedly, specialists did not outperform generalists for any of the tasks. Also, an individual's readiness to engage in a task (as quantified by the time taken to first embark on it after the start of the experiment) did not consistently predict its performance.
These results are provocative, and a healthy reminder that we should not assume that biological complexity is automatically adaptive in any situation. However, the specialization of workers in social insects must surely be adaptive in some situations, and our hope is that studies as comprehensive as the one by Dornhaus will be performed to identify these conditions. Perhaps the emergency situations that were in force in this study meant that as many individuals as possible (independently of previous specialization, experience and efficiency) needed to engage, resulting in recruitment of many suboptimal performers into a task they would not otherwise perform. It might also be informative to test colonies in emergency-free situations, where they are given a choice between multiple activities that can be performed concurrently.
Much research on social insect specialization has been concerned with the stimuli by which workers identify the need for a task to be performed, and the sensory thresholds at which individuals respond to these stimuli.4,5,14,15 Ideally, the readiness with which an individual engages in a task should correspond to its innate ability (or “talent”) at performing the task.8 Although such a correlation has been found in some tasks,8 the results of Dornhaus' study show that it should not be assumed to be general. However, a correlation between response thresholds and efficiency might be generated over an individual's lifetime, since the thresholds themselves might become gradually lower with experience,16 but also because, as a result of a lower threshold, an animal might perform the task more often, allowing it to polish its skills over time.
Learning, Transfer and Interference in Social Insect Work
Indeed, our introductory remarks about labor division in humans indicate that the most decisive factor that generates advantages of task specialization might relate to learning and memory, task transfer and interference. In Dornhaus' study, “all hands on deck” were needed; thus individuals might have had little chance to familiarize themselves with a task and improve performance over time. In more day-to-day situations, experience might often be the single best predictor of performance. Learning has been shown to play a fundamental role in efficiency of many everyday tasks in social insects' lives, including food handling techniques17,18 (where performance can improve with experience by an order of magnitude12), information about the locations and identification of food sources,19–23 nest repair,24 nestmate recognition,25,26 comb building,27 strategies in handling prey28 and nest climate control16 (but not, for example, in corpse removal in honeybee colonies8). For complex tasks such as natural foraging at long distances from the nest, efficiency can increase with experience over a substantial portion of an insect's lifetime.29,30
Just like in human laborers, there can be substantial interference if insects switch from one task to another12,31—in one study on butterflies, feeding on a new plant species resulted in almost complete forgetting of the handling procedures for a previously visited flower species.32 In other studies, individuals seemed comfortable in juggling two tasks.33 If interference occurs, then the very mechanisms that make it preferable for an individual to work efficiently may lead to a certain inertia in switching tasks.6 In some cases, the transition from one task to another may be orchestrated by fundamental alterations in brain structure, neuronal wiring pattern and protein synthesis, in part to generate the hardware to facilitate learning activities that come with the new tasks, but the changes can also be directly induced by new experience.34–37 These changes have been examined primarily in the mushroom bodies of honeybees at the major transition from within-nest activities to foraging, and there might be less pronounced alterations of circuitry when switching between activities does not involve a near-complete change of life-style. Nonetheless, this research suggests that costs of task switching can extend substantially beyond those of temporal inefficiency at a new task.
Transfer is likewise important—in some cases, there might be similarities in two tasks that facilitate performance on a new job.12,31 For example, in Dornhaus' study,13 all tasks involved locomotion, orientation within the (presumably familiar) surroundings of the nest, and three of four tasks involved carrying items with the mandibles—thus skills at these tasks would have been largely transferable, whereas more specialized activities (such as wall-building38) or handling live prey28 might involve learning (because the precise nature of the substrate is not predictable on an evolutionary scale), but skills obtained at either of these activities might not be transferable to the respective other one.
The extent to which transfer and interference exist for many of the within-nest tasks of social insect colonies remains to be shown on a case-by-case basis, but they could be more important in determining an individual's efficiency at any given task than the response threshold that causes it to engage with the task in the first place. The reason is that almost any motor task, however simple, will require some fine-tuning, i.e., adjusting actions to desired outcomes, even if it is based on genetically pre-programmed templates.17,39 Even in basic locomotion, “robotic”, fully hard wired motor routines would fail when load is redistributed along the body (such as when a prey item is carried) or when alterations occur to body structure (such as in insect flight when asymmetric wing wear occurs with ageing40).
Conclusion
Over a social insect's lifetime, it might come into contact with a large variety of tasks, and have a go at several of them. What are the feedback loops that ensure that individuals perform the tasks that they are good at? In humans, there is self-assessment (as well as feedback from others) of talent and the steepness of the learning curve: for example, it was clear fairly early on to these authors that they would never succeed as professional footballers, even with many years of training. In insects, there is likely no feedback from others (“Hey Jane, you're rubbish at pollen foraging!”), but there might be a role of individual experience in deciding which task an individual specializes on in the first place. In a fascinating recent report,41 previously naïve Cerapachys biroi ants repeatedly explored their environment for food—only for some individuals, the experimenters had made sure they never found any. Such ants gradually decreased their efforts, and in the end, stayed mostly in the confines of the nest and became specialist brood carers, whereas their more successful relatives happily continued to forage in the outside world (Fig. 3). In this case, the experience of success and failure determined specialization. We therefore suspect that the biggest missing piece of the puzzle in our understanding of labor division in animal societies relates to extent that individual experience, transfer and interference contribute to efficiency, just as Adam Smith pointed out at the dawn of the industrial revolution for human labor division.
Footnotes
Previously published online as a Communicative & Integrative Biology E-publication: http://www.landesbioscience.com/journals/cib/article/7600
References
- 1.Smith A. An Inquiry into the Nature and Causes of the Wealth of Nations; reprinted 1976. Oxford: Clarendon Press; 1776. [Google Scholar]
- 2.Jeanson R, Clark RM, Holbrook CT, Bertram SM, Fewell JH, Kukuk PF. Division of labor and socially induced changes in response thresholds in associations of solitary halictine bees. Anim Behav. 2008;7:593–602. [Google Scholar]
- 3.Hölldobler B, Wilson EO. The Ants. Berlin: Springer; 1990. [Google Scholar]
- 4.Gordon DM. The organization of work in social insect colonies. Nature. 1996;380:121–124. [Google Scholar]
- 5.Beshers SN, Fewell JH. Models of division of labor in social insects. Ann Rev Entomol. 2001;46:413–440. doi: 10.1146/annurev.ento.46.1.413. [DOI] [PubMed] [Google Scholar]
- 6.Chittka L, Thomson JD, Waser NM. Flower constancy, insect psychology and plant evolution. Naturwissenschaften. 1999;86:361–377. [Google Scholar]
- 7.Tofts C, Franks NR. Doing the right thing: Ants, honeybees and naked mole-rats. Trends Ecol Evol. 1992;7:346–349. doi: 10.1016/0169-5347(92)90128-X. [DOI] [PubMed] [Google Scholar]
- 8.Trumbo ST, Robinson GE. Learning and task interference by corpse-removal specialists in honey bee colonies. Ethology. 1997;103:966–975. [Google Scholar]
- 9.Langridge EA, Sendova-Franks AB, Franks NR. How experienced individuals contribute to an improvement in collective performance in ants. Behav Ecol Sociobiol. 2008;62:447–456. [Google Scholar]
- 10.Waser NM, Chittka L, Price MV, Williams N, Ollerton J. Generalization in pollination systems, and why it matters. Ecology. 1996;77:1043–1060. [Google Scholar]
- 11.Allport DA. Attention and performance. In: Claxton G, editor. Cognitive Psychology—new directions. London: Routledge & Kegan Paul; 1980. pp. 112–153. [Google Scholar]
- 12.Chittka L, Thomson JD. Sensori-motor learning and its relevance for task specialization in bumble bees. Behav Ecol Sociobiol. 1997;41:385–398. [Google Scholar]
- 13.Dornhaus A. Specialization does not predict individual efficiency in an ant. PLoS Biology. 2008;6:28–57. doi: 10.1371/journal.pbio.0060285. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Spaethe J, Brockmann A, Halbig C, Tautz J. Size determines antennal sensitivity and behavioral thereshold to odors in bumblebee workers. Naturwissenschaften. 2007;94:733–739. doi: 10.1007/s00114-007-0251-1. [DOI] [PubMed] [Google Scholar]
- 15.Waibel M, Floreano D, Magnenat S, Keller L. Division of labour and colony efficiency in social insects: effects of interactions between genetic architecture, colony kin structure and rate of perturbations. Proc R Soc B. 2006;273:1815–1823. doi: 10.1098/rspb.2006.3513. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Weidenmüller A. The control of nest climate in bumblebee (Bombus terrestris) colonies: interindividual variability and self reinforcement in fanning response. Behav Ecol. 2004;15:120–128. [Google Scholar]
- 17.Laverty TM, Plowright RC. Acquisition of handling skills on a complex flower: behavioural differences between specialist and generalist bumble bee species. Anim Behav. 1988:1–20. [Google Scholar]
- 18.Raine NE, Chittka L. Pollen foraging: learning a complex motor skill by bumblebees (Bombus terrestris) Naturwissenschaften. 2007;94:459–464. doi: 10.1007/s00114-006-0184-0. [DOI] [PubMed] [Google Scholar]
- 19.Srinivasan MV. Honeybee vision: in good shape for shape recognition. Curr Biol. 2006;16:58–60. doi: 10.1016/j.cub.2006.01.002. [DOI] [PubMed] [Google Scholar]
- 20.Collett TS, Zeil J. The selection and use of landmarks by insects. In: Lehrer M, editor. Orientation and communication in arthropods. Basel: Birkhäuser Verlag; 1997. pp. 41–65. [Google Scholar]
- 21.Saleh N, Chittka L. Traplining in bumblebees (Bombus impatiens): a foraging strategy's ontogeny and the importance of spatial reference memory in short-range foraging. Oecologia. 2007;151:719–730. doi: 10.1007/s00442-006-0607-9. [DOI] [PubMed] [Google Scholar]
- 22.Menzel R, Giurfa M. Cognitive architecture of a mini-brain: the honeybee. Trends Cogn Sci. 2001;5:62–71. doi: 10.1016/s1364-6613(00)01601-6. [DOI] [PubMed] [Google Scholar]
- 23.Chittka L, Raine NE. Recognition of flowers by pollinators. Curr Opin Plant Biol. 2006;9:428–435. doi: 10.1016/j.pbi.2006.05.002. [DOI] [PubMed] [Google Scholar]
- 24.Downing HA. Hole repair and the influence of learning on nest repair in the paper wasp, Polistes fuscatus (Hymenoptera, Vespidae) J Insect Behav. 1992;5:459–468. [Google Scholar]
- 25.Sheehan MJ, Tibbetts EA. Robust long-term social memories in a paper wasp. Curr Biol. 2008;18:851–852. doi: 10.1016/j.cub.2008.07.032. [DOI] [PubMed] [Google Scholar]
- 26.Chaline N, Sandoz J-C, Martin SJ, Ratnieks FLW, Jones GR. Learning and discrimination of individual cuticular hydrocarbons by honeybees (Apis mellifera) Chem Sens. 2005;30:327–335. doi: 10.1093/chemse/bji027. [DOI] [PubMed] [Google Scholar]
- 27.Oelsen Gv, Rademacher E. Untersuchungen zum Bauverhalten der Honigbiene (Apis mellifera) Apidologie. 1979;10:175–209. [Google Scholar]
- 28.Corbara B, Dejean A. Adaptive behavioral flexibility of the ant Pachycondyla analis (Megaponera foetens) (Formicidae: Ponerinae) during prey capture. Sociobiol. 2000;36:465–483. [Google Scholar]
- 29.Dukas R, Visscher PK. Lifetime learning by foraging honey bees. Anim Behav. 1994;48:1007–1012. [Google Scholar]
- 30.Peat J, Goulson D. Effects of experience and weather on foraging rate and pollen versus nectar collection in the bumblebee, Bombus terrestris. Behav Ecol Sociobiol. 2005;58:152–156. [Google Scholar]
- 31.Dukas R. Transfer and interference in bumblebee learning. Anim Behav. 1995;49:1481–1490. [Google Scholar]
- 32.Lewis AC. Memory constraints and flower choice in Pieris rapae. Science. 1986;232:863–865. doi: 10.1126/science.232.4752.863. [DOI] [PubMed] [Google Scholar]
- 33.Weiss MR, Papaj D. Colour learning in two behavioural contexts: how much can a butterfly keep in mind? Anim Behav. 2003;65:425–434. [Google Scholar]
- 34.Gronenberg W, Heeren S, Holldobler B. Age-dependent and task-related morphological changes in the brain and the mushroom bodies of the ant Camponotus floridanus. J Exp Biol. 1996;199:2011–2019. doi: 10.1242/jeb.199.9.2011. [DOI] [PubMed] [Google Scholar]
- 35.Fahrbach SE, Farris SM, Sullivan JP, Robinson GE. Limits on volume changes in the mushroom bodies of the honey bee brain. J Neurobiol. 2003;57:141–151. doi: 10.1002/neu.10256. [DOI] [PubMed] [Google Scholar]
- 36.Robinson GE, Fernald RD, Clayton DF. Genes and Social Behavior. Science. 2008;322:896–900. doi: 10.1126/science.1159277. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Krofczik S, Khojasteh U, de Ibarra NH, Menzel R. Adaptation of microglomerular complexes in the honeybee mushroom body lip to manipulations of behavioral maturation and sensory experience. Dev Neurobiol. 2008;68:1007–1017. doi: 10.1002/dneu.20640. [DOI] [PubMed] [Google Scholar]
- 38.Aleksiev AS, Sendova-Franks AB, Franks NR. Nest ‘moulting’ in the ant Temnothorax albipennis. Anim Behav. 2007;74:567–575. [Google Scholar]
- 39.Wolf R, Voss A, Hein S, Heisenberg M. Can a fly ride a bicycle? Phil Trans R Soc Lond B. 1992;337:261–269. [Google Scholar]
- 40.Higginson AD, Barnard CJ. Accumulating wing damage affects foraging decisions in honeybees (Apis mellifera L.) Ecol Entomol. 2004;29:52–59. [Google Scholar]
- 41.Ravary F, Lecoutey E, Kaminski G, Chaline N, Jaisson P. Individual experience alone can generate lasting division labor in ants. Curr Biol. 2007;17:1–5. doi: 10.1016/j.cub.2007.06.047. [DOI] [PubMed] [Google Scholar]