Show/Hide Menu
Hide/Show Apps
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Open Access Guideline
Open Access Guideline
Postgraduate Thesis Guideline
Postgraduate Thesis Guideline
Communities & Collections
Communities & Collections
Help
Help
Frequently Asked Questions
Frequently Asked Questions
Guides
Guides
Thesis submission
Thesis submission
MS without thesis term project submission
MS without thesis term project submission
Publication submission with DOI
Publication submission with DOI
Publication submission
Publication submission
Supporting Information
Supporting Information
General Information
General Information
Copyright, Embargo and License
Copyright, Embargo and License
Contact us
Contact us
Measuring individual locomotor rhythms in honey bees, paper wasps and other similar-sized insects
Date
2014-04-01
Author
Giannoni-Guzman, Manuel A.
Avalos, Arian
Perez, Jaime Marrero
Loperena, Eduardo J. Otero
Kayim, Mehmet
Medina, Jose Alejandro
Massey, Steve E.
Kence, Meral
Kence, Aykut
Giray, Tugrul
Agosto-Rivera, Jose L.
Metadata
Show full item record
This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
.
Item Usage Stats
79
views
0
downloads
Cite This
The Journal of Experimental Biology Circadian rhythms in social insects are highly plastic and are modulated by multiple factors. In addition, complex behaviors such as sun-compass orientation and time learning are clearly regulated by the circadian system in these organisms. Despite these unique features of social insect clocks, the mechanisms as well as the functional and evolutionary relevance of these traits remain largely unknown. Here we show a modification of the Drosophila activity monitoring (DAM) system that allowed us to measure locomotor rhythms of the honey bee, Apis mellifera (three variants; gAHB, carnica and caucasica), and two paper wasps (Polistes crinitus and Mischocyttarus phthisicus). A side-by-side comparison of the endogenous period under constant darkness (free-running period) led us to the realization that these social insects exhibit significant deviations from the Earth's 24 h rotational period as well as a large degree of inter-individual variation compared with Drosophila. Experiments at different temperatures, using honey bees as a model, revealed that testing the endogenous rhythm at 35 degrees C, which is the hive's core temperature, results in average periods closer to 24 h compared with 25 degrees C (23.8 h at 35 degrees C versus 22.7 h at 25 degrees C). This finding suggests that the degree of tuning of circadian temperature compensation varies among different organisms. We expect that the commercial availability, cost-effectiveness and integrated nature of this monitoring system will facilitate the growth of the circadian field in these social insects and catalyze our understanding of the mechanisms as well as the functional and evolutionary relevance of circadian rhythms.
Subject Keywords
Circadian rhythms
,
Locomotor activity
,
Honey bees
,
Apis mellifera
,
Wasps
,
Mischocyttarus
,
Polistes
,
Temperature compensation
URI
https://hdl.handle.net/11511/50752
Journal
JOURNAL OF EXPERIMENTAL BIOLOGY
DOI
https://doi.org/10.1242/jeb.096180
Collections
Department of Biology, Article
Suggestions
OpenMETU
Core
ANALYSIS OF THE DIELECTROPHORETIC (DEP) SPECTRA OF BIOLOGICAL CELLS
Caglayani, Zeynep; Sel, Kaan; Yalcin, Yagmur Demircan; Sukas, Ozlem Sardan; Külah, Haluk (2017-06-22)
This study presents an approach for analyzing the dielectrophoretic (DEP) spectra of biological cells without ascertaining their membrane and cytoplasmic properties. DEP spectrum device with reciprocal V-shaped planar-electrodes was utilized to obtain DEP spectra information of cells. Integrating electric field simulations based on a strong theory with the experimental data enables determination of the DEP spectrum at a range of frequencies, for the first in the literature. The proposed method is tested wit...
Differential diagnosis of the honey bee trypanosomatids Crithidia mellificae and Lotmaria passim
Ravoet, Jorgen; Schwarz, Ryan S.; Descamps, Tine; Yanez, Orlando; Tozkar, Cansu Ozge; Martin-Hernandez, Raquel; Bartolome, Carolina; De Smet, Lina; Higes, Mariano; Wenseleers, Tom; Schmid-Hempel, Regula; Neumann, Peter; Kadowaki, Tatsuhiko; Evans, Jay D.; de Graaf, Dirk C. (2015-09-01)
Trypanosomatids infecting honey bees have been poorly studied with molecular methods until recently. After the description of Crithidia mellificae (Langridge and McGhee, 1967) it took about forty years until molecular data for honey bee trypanosomatids became available and were used to identify and describe a new trypanosomatid species from honey bees, Lotmaria passim (Evans and Schwarz, 2014). However, an easy method to distinguish them without sequencing is not yet available. Research on the related bumbl...
Understanding the cell behavior on nano-/micro-patterned surfaces
Hasırcı, Vasıf Nejat (2012-09-01)
Aim: This article reports on studies conducted in the same laboratory on interactions between patterned substrates with different pattern dimensions and chemistries, and various types of cells. Materials & methods: In order to compare the influence of various parameters, bone marrow stromal cells, retinal pigment epithelial cells, human corneal stromal cells (keratocytes), Saos-2 (human osteosarcoma cells), human microvascular endothelial cells and vascular smooth muscle cells were tested on surfaces with d...
Predicting Protein-Protein Interactions from the Molecular to the Proteome Level
Keskin, Ozlem; Tunçbağ, Nurcan; Gursoy, Attila (2016-04-27)
Identification of protein protein interactions (PPIs) is at the center of molecular biology considering the unquestionable role of proteins in cells. Combinatorial interactions result in a repertoire of multiple functions; hence, knowledge of PPI and binding regions naturally serve to functional proteomics and drug discovery. Given experimental limitations to find all interactions in a proteome, computational prediction/modeling of protein interactions is a prerequisite to proceed on the way to complete int...
Identification of functionally orthologous protein groups in different species based on protein network alignment
Yaveroğlu, Ömer Nebil; Can, Tolga; Department of Computer Engineering (2010)
In this study, an algorithm named ClustOrth is proposed for determining and matching functionally orthologous protein clusters in different species. The algorithm requires protein interaction networks of the organisms to be compared and GO terms of the proteins in these interaction networks as prior information. After determining the functionally related protein groups using the Repeated Random Walks algorithm, the method maps the identified protein groups according to the similarity metric defined. In orde...
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
M. A. Giannoni-Guzman et al., “Measuring individual locomotor rhythms in honey bees, paper wasps and other similar-sized insects,”
JOURNAL OF EXPERIMENTAL BIOLOGY
, pp. 1307–1315, 2014, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/50752.