Genotypic variability in age polyethism and task specialization in the honey bee, Apis mellifera (Hymenoptera: Apidae)

Calderone, Nicholas W.; Page, Robert E.

doi:10.1007/bf00395694

Cited by 214 publications

(122 citation statements)

References 19 publications

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“…However, there is some agreement amongst researchers that if the task can be naturally decomposed into a set of complementary sub-tasks then specialization is often beneficial for increasing collective task performance (Arkin, 1998), (Arkin & Balch, 1999), (Balch, 2002a), (Balch, 2002b). Examples of such collective behavior task domains include: collective gathering (Bonabeau et al, 1997), (Bonabeau et al, 1998), (Holldobler & Wilson, 1990), (Gotwald, 1995), (Noirot, 1990), (O'Riain et al, 2000), (Calderone & Page, 1988), (Huang & Robinson, 1996), (Bonabeau et al, 1996), (Waibel et al, 2006), (Perez-Uribe, Floreano, & Keller, 2003); collective construction (Theraulaz & Bonabeau, 1995), ; resource assignment and distribution (Bonabeau et al, 1997), (Campos et al, 2001); predator prey (Miller & Cliff, 1996), (Nishimura & Takashi, 1997); pursuit-evasion (Haynes & Sen, 1997); collective herding (Potter et al, 2001); collective transport (Kube & Bonabeau, 1999); coordinated movement 14 (Quinn et al, 2003), (Nolfi, Deneubourg, et al, 2003), (Bonabeau et al, 1998);…”

Section: Collective Behavior Tasks and Specializationmentioning

confidence: 99%

“…Cooperative gathering and construction tasks are based upon the social insect metaphor and have been studied in both simulated multi-agent and physical multi-robot systems, as well as artificial life simulations (Bonabeau et al, 1997), (Bonabeau et al, 1998), (Holldobler & Wilson, 1990), (Gotwald, 1995), (Noirot, 1990), (O'Riain et al, 2000), (Calderone & Page, 1988), (Huang & Robinson, 1996), (Bonabeau et al, 1996), (Waibel et al, 2006), (Perez-Uribe et al, 2003) (Bonabeau et al, 1996), (Bonabeau et al, 1997), (Theraulaz, Bonabeau, & Deneubourg, 1998a), (Waibel et al, 2006), (Campos et al, 2001), (Theraulaz et al, 1998b) (Bonabeau, Theraulaz, Arpin, & Sardet, 1994), (Deneubourg, Theraulaz, & Beckers, 1991), (Ijspeert, Martinoli, Billard, & Gambardella, 2001), (Mataric, 1997), (Kreiger & Billeter, 2000), , (Bongard, 2000). Such studies typically draw inspiration from empirical evidence (Jeanne, 1991), (Karsai & Wenzel, 1998), (Karsai & Wenzel, 2000), (Traniello, 1978) and theoretical analyzes (Bourke, 1999), (Anderson & McShea, 2001) of biological social insect societies.…”

Section: Collective Gathering and Construction Tasksmentioning

confidence: 99%

“…Over the course of evolutionary time, specialization in biological communities has assumed both morphological (Wenseleers, Ratnieks, & Billen, 2003) and behavioral forms (Bonabeau, Theraulaz, & 3 Deneubourg, 1996). For example, the morphologically specialized castes that have emerged in certain termite colonies (Noirot & Pasteels, 1987), and honey bees that dynamically adapt their foraging behavior for pollen, nectar, and water as a function of individual preference and colony demand (Calderone & Page, 1988). The consequence of such specializations is that labor is efficiently divided between specialized castes 2 and individuals for the benefit of accomplishing group tasks.…”

Section: Introductionmentioning

confidence: 99%

“…Many artificial collective behavior systems have used design principles which draw their inspiration from examples of specialization in nature. Such examples include complex ecological communities such as social insect colonies (Noirot & Pasteels, 1987), (Wenseleers et al, 2003), (Seligmann, 1999), (Calderone & Page, 1988), (Bonabeau et al, 1996), (Bonabeau, Sobkowski, Theraulaz, & Deneubourg, 1997), biological neural networks (Baev, 1997), multi-cellular organisms (Hawthorne, 2001), economies of a nation, companies, corporations and other business organizations (Resnick, 1997), (Abdel-Rahman, 2001), (Ng & Yang, 1997). Such biologically inspired design principles are especially prevalent in multi-robot (Potter, Meeden, & Schultz, 2001) swarm intelligence (Bonabeau, Dorigo, & Theraulaz, 1998) and artificial life systems (Nishimura & Takashi, 1997) where it is highly desirable to replicate the success of biological collective behavior systems.…”

Section: Introductionmentioning

confidence: 99%

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Emergent Specialization in Biologically Inspired Collective Behavior Systems

Nitschke

Schut

Eiben

2008

Intelligent Complex Adaptive Systems

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Specialization is observable in many complex adaptive systems and is thought by many to be a fundamental mechanism for achieving optimal efficiency within organizations operating within complex adaptive systems. This chapter presents a survey and critique of collective behavior systems designed using biologically inspired principles, where specialization that emerges as a result of system dynamics and is used problem solver or means to increase task performance. The chapter presents an argument for developing design methodologies and principles that facilitate emergent specialization in collective behavior systems. Open problems of current research and future research directions are highlighted for the purpose of encouraging the development of such emergent specialization design methodologies. 2 Emergent Specialization in Biologically Inspired Collective Behavior Systems AbstractSpecialization is observable in many complex adaptive systems and is thought by many to be a fundamental mechanism for achieving optimal efficiency within organizations operating within complex adaptive systems. This chapter presents a survey and critique of collective behavior systems designed using biologically inspired principles, where specialization that emerges as a result of system dynamics and is used problem solver or means to increase task performance. The chapter presents an argument for developing design methodologies and principles that facilitate emergent specialization in collective behavior systems. Open problems of current research and future research directions are highlighted for the purpose of encouraging the development of such emergent specialization design methodologies.

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Section: Collective Behavior Tasks and Specializationmentioning

confidence: 99%

Section: Collective Gathering and Construction Tasksmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Emergent Specialization in Biologically Inspired Collective Behavior Systems

Nitschke

Schut

Eiben

2008

Intelligent Complex Adaptive Systems

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“…Role changes can be triggered by specific conditions, such as amount and type of available forage as well as a shortage of workers performing a specific task in the colony (Page et al 1989;Robinson 1992;Robinson et al 1992;Huang & Robinson 1996). Genetic differences between bee races and strains were also described as a factor that can cause differences in foraging age (Winston & Katz 1982;Calderone & Page 1987). Transitions between tasks are accompanied with changes in expression of various genes participating in exocrine, endocrine and brain activities (Whitfield et al 2003;Cash et al 2005;Liu et al 2011).…”

Section: Introductionmentioning

confidence: 99%

Identification and validation of reference genes for real time PCR expression studies in heads of nurse honeybees

et al. 2013

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Abstract:The primary aim of this study was to identify reference genes and workers of particular role and ages that would be suitable for exploring genetic/epigenetic variations in constitutive expression of a gene encoding antimicrobial peptide defensin1 in worker heads using real-time PCR. This peptide is an integral component of larval food and honey and has potential to act against some brood pathogens. Expression levels of distinct genes may vary in worker heads due to genetic factors, age of bee, and particular role of a worker that depends on its age or colony needs. Prerequisite for exploring the variations in defensin1 expression was therefore to identify such workers in which correlated expression of defensin1 and suitable reference genes occurs. Selection process was done by carefully designed quantitative real-time PCR procedure in two colonies showing different age-related division of labor. Expression of ten candidate reference genes, defensin1 and amylase, as a marker of forager bees, was assessed in pooled head samples of workers aged 2 to 30 days. Correlated and moreover stable expression of defensin1 and six candidate genes was detected in nursing bees in both colonies. The suitable reference genes were therefore selected on the basis of their expression stability. This was evaluated by geNorm and NormFinder algorithms in pooled head samples and through plotted Cq data in head samples of individual nurse bees. As the best reference genes were selected: psa1, tctp1, cyclophilin, gapdh and mrjp4 (in this order). They are suitable for aforementioned defensin1 expression studies and also for studies of other genes expressed in heads of nurses. In addition, an amylase expression-based procedure for reliable distinguishing nurses from foragers was elaborated.

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Structural plasticity of identified glomeruli in the antennal lobes of the adult worker honey bee

1996

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Adult worker honey bees alter their behaviour with age but retain a strong reliance on sensory information from the antennae. The antennae house a diverse array of receptors, including mechanoreceptors, hygroreceptors, olfactory receptors, and contact chemoreceptors, which relay information to the brain. Antennal sensory neurons that project to the antennal lobes of the brain converge onto second-order interneurones to form discrete spheres of neuropil, called glomeruli. The spatial organisation of glomeruli in the antennal lobes of the honey bee is constant, but the central distribution of information from receptors tuned to different sensory modalities is unknown. Here we show that the glomerular neuropil of the antennal lobes undergoes constant modification during the lifetime of the adult worker bee. Changes in morphology are site specific and highly predictable. The total volume of the glomerular neuropil of the antennal lobe increased significantly during the first 4 days of adult life. Each of the five readily identifiable glomeruli examined in this study exhibited a unique pattern of growth. The growth of two of the five glomeruli changed dramatically with the shift to foraging duties. Furthermore, significant differences were identified between the antennal lobes of bees performing nectar- and pollen-foraging tasks. The highly compartmentalized nature of the antennal lobes, the ease with which specific glomeruli can be identified, and the predictability of changes to the antennal lobe neuropil make this an ideal system for examining the mechanisms and behavioural consequences of structural plasticity in primary sensory centres of the brain.

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Genotypic variability in age polyethism and task specialization in the honey bee, Apis mellifera (Hymenoptera: Apidae)

Cited by 214 publications

References 19 publications

Emergent Specialization in Biologically Inspired Collective Behavior Systems

Emergent Specialization in Biologically Inspired Collective Behavior Systems

Identification and validation of reference genes for real time PCR expression studies in heads of nurse honeybees

Structural plasticity of identified glomeruli in the antennal lobes of the adult worker honey bee

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