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Laloi, David; Bailez, Omar; Blight, Margaret M.; Röger, B.; Pham-Delègue, M.H.; Wadhams, L. J.

doi:10.1023/a:1005522826673

Cited by 62 publications

(20 citation statements)

References 28 publications

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“…Boi et al (2013) identified pollen grains of D. viscosa in several samples of honey collected in western Mediterranean, showing visits of honeybees Apis mellifera L. (Hymenoptera: Apidae) to D. viscosa. Laloi et al (2000) showed that some floral scent compounds, e.g. linalool, also identified in our study in D. viscosa flowers and galls, attracted A. mellifera.…”

Section: Discussionsupporting

confidence: 77%

Changes in volatile compounds of Dittrichia viscosa caused by the attack of the gall-forming dipteran Myopites stylatus

Santos

Mota

Malheiro

et al. 2016

Industrial Crops and Products

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Section: Discussionsupporting

confidence: 77%

Changes in volatile compounds of Dittrichia viscosa caused by the attack of the gall-forming dipteran Myopites stylatus

Santos

Mota

Malheiro

et al. 2016

Industrial Crops and Products

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“…Odourant dominance within complex olfactory blends has been reported in several studies of olfactory processing in bees [9,10,31,36,37]. Yet, the features that define this dominance remained unclear until now so that this phenomenon was thought to be mixture-specific [31,38].…”

Section: Discussionmentioning

confidence: 99%

Odourant dominance in olfactory mixture processing: what makes a strong odourant?

et al. 2015

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The question of how animals process stimulus mixtures remains controversial as opposing views propose that mixtures are processed analytically, as the sum of their elements, or holistically, as unique entities different from their elements. Overshadowing is a widespread phenomenon that can help decide between these alternatives. In overshadowing, an individual trained with a binary mixture learns one element better at the expense of the other. Although element salience (learning success) has been suggested as a main explanation for overshadowing, the mechanisms underlying this phenomenon remain unclear. We studied olfactory overshadowing in honeybees to uncover the mechanisms underlying olfactory-mixture processing. We provide, to our knowledge, the most comprehensive dataset on overshadowing to date based on 90 experimental groups involving more than 2700 bees trained either with six odourants or with their resulting 15 binary mixtures. We found that bees process olfactory mixtures analytically and that salience alone cannot predict overshadowing. After normalizing learning success, we found that an unexpected feature, the generalization profile of an odourant, was determinant for overshadowing. Odourants that induced less generalization enhanced their distinctiveness and became dominant in the mixture. Our study thus uncovers features that determine odourant dominance within olfactory mixtures and allows the referring of this phenomenon to differences in neural activity both at the receptor and the central level in the insect nervous system.

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“…A general finding of these experiments is that when bees learn a mixture and are afterward tested with the individual components, they usually respond to some components more strongly than to others. Such components have been termed key-compounds (or key-components, Wadhams et al, 1994; Laloi et al, 2000; Reinhard et al, 2010). What determines that a component is a key-component?…”

Section: Olfactory Behavior In the Honeybeementioning

confidence: 99%

“…Neither relative quantity nor volatility are predictive (Wadhams et al, 1994; Le Métayer et al, 1997; Reinhard et al, 2010). Rather, the perceptual salience of a component appears to be important, as measured by the conditioning success with this odor presented alone (Laloi et al, 2000). Additionally, whether a component will be learned in a mixture depends on the identity of the other components (Laloi et al, 2000; Reinhard et al, 2010).…”

Section: Olfactory Behavior In the Honeybeementioning

confidence: 99%

“…Rather, the perceptual salience of a component appears to be important, as measured by the conditioning success with this odor presented alone (Laloi et al, 2000). Additionally, whether a component will be learned in a mixture depends on the identity of the other components (Laloi et al, 2000; Reinhard et al, 2010). Thus, the processing of different odorants simultaneously produces unpredictable outcomes, a phenomenon termed “mixture interaction.” Due to the apparent complexity of mixture processing, research on mixture interactions has focused on binary mixtures (Getz and Smith, 1987, 1990, 1991; Chandra and Smith, 1998; Smith, 1998; Deisig et al, 2001).…”

Section: Olfactory Behavior In the Honeybeementioning

confidence: 99%

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Behavioral and Neurophysiological Study of Olfactory Perception and Learning in Honeybees

Sandoz¹

2011

Front. Syst. Neurosci.

105

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The honeybee Apis mellifera has been a central insect model in the study of olfactory perception and learning for more than a century, starting with pioneer work by Karl von Frisch. Research on olfaction in honeybees has greatly benefited from the advent of a range of behavioral and neurophysiological paradigms in the Lab. Here I review major findings about how the honeybee brain detects, processes, and learns odors, based on behavioral, neuroanatomical, and neurophysiological approaches. I first address the behavioral study of olfactory learning, from experiments on free-flying workers visiting artificial flowers to laboratory-based conditioning protocols on restrained individuals. I explain how the study of olfactory learning has allowed understanding the discrimination and generalization ability of the honeybee olfactory system, its capacity to grant special properties to olfactory mixtures as well as to retain individual component information. Next, based on the impressive amount of anatomical and immunochemical studies of the bee brain, I detail our knowledge of olfactory pathways. I then show how functional recordings of odor-evoked activity in the brain allow following the transformation of the olfactory message from the periphery until higher-order central structures. Data from extra- and intracellular electrophysiological approaches as well as from the most recent optical imaging developments are described. Lastly, I discuss results addressing how odor representation changes as a result of experience. This impressive ensemble of behavioral, neuroanatomical, and neurophysiological data available in the bee make it an attractive model for future research aiming to understand olfactory perception and learning in an integrative fashion.

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Cited by 62 publications

References 28 publications

Changes in volatile compounds of Dittrichia viscosa caused by the attack of the gall-forming dipteran Myopites stylatus

Changes in volatile compounds of Dittrichia viscosa caused by the attack of the gall-forming dipteran Myopites stylatus

Odourant dominance in olfactory mixture processing: what makes a strong odourant?

Behavioral and Neurophysiological Study of Olfactory Perception and Learning in Honeybees

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