Adaptation, Genetic Drift, Pleiotropy, and History in the Evolution of Bee Foraging Behavior
نویسندگان
چکیده
The formal study of foraging behavior began in the mid 1960s, using an approach that later became known as optimal foraging theory (Emlen, 1966; MacArthur and Pianka, 1966). Practitioners would use modeling to identify an optimal strategy for an animal facing a given number of foraging options, and then compare this to the strategy actually chosen by the animal (Maynard Smith, 1978; Orzack and Sober, 2001; Stephens and Krebs, 1991). This approach was instrumental in predicting quantitatively which types of food an animal should choose to consume (Pyke et al., 1977; Stephens and Krebs, 1991; Waddington and Holden, 1979), when to abandon a patch of food (Cuthill et al., 1990; Kacelnik and Krebs, 1985), how variance in food supply might affect forager choice (Fülöp and Menzel, 2000; Real, 1981; Shafir et al., 1999), and what currencies animals use in making decisions about food quality (McNamara et al., 1993; Schmid‐ Hempel et al., 1985). The field thrived and expanded rapidly throughout the 1970s and 1980s, receiving further impetus from studies on the neurobiological mechanisms that underlie and constrain foraging during the 1990s (Chittka et al., 1999; Clayton, 1995; Clayton and Krebs, 1994; Greggers and Menzel, 1993), and from studies into the genetic basis of foraging behavior (Ben‐Shahar et al., 2002; Rueppell et al., 2004a).
منابع مشابه
Pleiotropy, epistasis and new QTL: the genetic architecture of honey bee foraging behavior.
The regulation of division of labor in social insects, particularly in the honey bee (Apis mellifera L.), has received considerable attention from a number of biological subdisciplines, including quantitative and behavioral genetics, because of the high complexity of the behavioral traits involved. The foraging choices of honey bee workers can be accurately quantified, and previous studies have...
متن کاملApplication of Fuzzy and ABC Algorithm for DG Placement for Minimum Loss in Radial Distribution System
Distributed Generation (DG) is a promising solution to many power system problems such as voltage regulation, power loss, etc. This paper presents a new methodology using Fuzzy and Artificial Bee Colony algorithm(ABC) for the placement of Distributed Generators(DG) in the radial distribution systems to reduce the real power losses and to improve the voltage profile. A two-stage methodology is u...
متن کاملHoney bees as a model for understanding mechanisms of life history transitions.
As honey bee workers switch from in-hive tasks to foraging, they undergo transition from constant exposure to the controlled homogenous physical and sensory environment of the hive to prolonged diurnal exposures to a far more heterogeneous environment outside the hive. The switch from hive work to foraging offers an opportunity for the integrative study of the physiological and genetic mechanis...
متن کاملTwo extended haplotype blocks are associated with adaptation to high altitude habitats in East African honey bees
Understanding the genetic basis of adaption is a central task in biology. Populations of the honey bee Apis mellifera that inhabit the mountain forests of East Africa differ in behavior and morphology from those inhabiting the surrounding lowland savannahs, which likely reflects adaptation to these habitats. We performed whole genome sequencing on 39 samples of highland and lowland bees from tw...
متن کاملArtificial bee colony optimization for multi-area economic dispatch
This paper presents artificial bee colony optimization for solving multi-area economic dispatch (MAED) problem with tie line constraints considering transmission losses, multiple fuels, valve-point loading and prohibited operating zones. Artificial bee colony optimization is a swarm-based algorithm inspired by the food foraging behavior of honey bees. The effectiveness of the proposed algorithm...
متن کامل