Peak shift in honey bee olfactory learning.

Anim Cogn

Department of Biological Sciences, Macquarie University, Sydney, NSW, 2109, Australia.

Published: September 2014

If animals are trained with two similar stimuli such that one is rewarding (S+) and one punishing (S-), then following training animals show a greatest preference not for the S+, but for a novel stimulus that is slightly more different from the S- than the S+ is. This peak shift phenomenon has been widely reported for vertebrates and has recently been demonstrated for bumblebees and honey bees. To explore the nature of peak shift in invertebrates further, here we examined the properties of peak shift in honey bees trained in a free-flight olfactory learning assay. Hexanal and heptanol were mixed in different ratios to create a continuum of odour stimuli. Bees were trained to artificial flowers such that one odour mixture was rewarded with 2 molar sucrose (S+), and one punished with distasteful quinine (S-). After training, bees were given a non-rewarded preference test with five different mixtures of hexanal and heptanol. Following training bees' maximal preference was for an odour mixture slightly more distinct from the S- than the trained S+. This effect was not seen if bees were initially trained with two distinct odours, replicating the classic features of peak shift reported for vertebrates. We propose a conceptual model of how peak shift might occur in honey bees. We argue that peak shift does not require any higher level of processing than the known olfactory learning circuitry of the bee brain and suggest that peak shift is a very general feature of discrimination learning.

Download full-text PDF

Source
http://dx.doi.org/10.1007/s10071-014-0750-3DOI Listing

Publication Analysis

Top Keywords

peak shift
32
olfactory learning
12
honey bees
12
peak
8
shift honey
8
reported vertebrates
8
bees trained
8
hexanal heptanol
8
odour mixture
8
shift
7

Similar Publications

The evolution of precursors to form secondary organic aerosol (SOA) is still a challenge in atmospheric chemistry. Chamber experiments were conducted to simulate the ambient OH oxidation of naphthalene and α-pinene, which are typical markers of anthropogenic and biogenic emissions. Particulate matters were sampled by quartz filters and were analyzed by comprehensive two-dimensional gas chromatography (GC×GC) coupled with a thermal desorption system (TD) and a mass spectrometer (MS).

View Article and Find Full Text PDF

Mass spectrometry (MS)-based metabolomics often rely on separation techniques when analyzing complex biological specimens to improve method resolution, metabolome coverage, quantitative performance, and/or unknown identification. However, low sample throughput and complicated data preprocessing procedures remain major barriers to affordable metabolomic studies that are scalable to large populations. Herein, we introduce PeakMeister as a new software tool in the R statistical environment to enable standardized processing of serum metabolomic data acquired by multisegment injection-capillary electrophoresis-mass spectrometry (MSI-CE-MS), a high-throughput separation platform (<4 min/sample) which takes advantage of a serial injection format of 13 samples within a single analytical run.

View Article and Find Full Text PDF

The aim of this study was to investigate aggression-related work accidents in an inpatient psychiatric unit before and after implementing a no-restraint policy in Italy. Results revealed that, over the study period (2007-2022), 113 accidents occurred, mostly related to physical aggression (81.4%), with healthcare assistants and psychiatric nurses being the most affected and more accidents occurring during the morning shift (49.

View Article and Find Full Text PDF

Detecting and tracking the preclinical stages of Alzheimer's disease (AD) is now of particular interest due to the aging of the world's population. AD is the most common cause of dementia, affecting the daily lives of those afflicted. Approaches in development can accelerate the evaluation of the preclinical stages of AD and facilitate early treatment and the prevention of symptom progression.

View Article and Find Full Text PDF

Effective multicolor visual biosensor for ochratoxin A detection enabled by DNAzyme catalysis and gold nanorod etching.

Mikrochim Acta

December 2024

Key Laboratory of Chemical Sensing & Analysis in Universities of Shandong, School of Chemistry and Chemical Engineering, University of Jinan, Jinan, 250022, People's Republic of China.

A novel detection technique is introduced that offers sensitive and reliable ochratoxin A (OTA) detection. The method leverages the etching of gold nanorods (AuNRs) stabilized by hexadecyl trimethyl ammonium bromide (CTAB) using the oxidized form of 3,3',5,5'-tetramethyl benzidine sulfate (TMB), creating a susceptible multicolor visual detection system for OTA. The visual detection is enabled by Mg-assisted DNAzyme catalysis combined with the catalytic hairpin assembly (CHA) signal amplification strategy.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!