Proceedings of the National Academy of Sciences of the United States of America 20120612 26
A fundamental problem in meta-analysis is how to systematically combine information from multiple statistical tests to rigorously evaluate a single overarching hypothesis. This problem occurs in systems biology when attempting to map genomic attributes to complex phenotypes such as behavior. Behavior and other complex phenotypes are influenced by intrinsic and environmental determinants that act on the transcriptome, but little is known about how these determinants interact at the molecular leve ...[more]
Project description:We analyzed the changes in brain gene expression after alarm pheromone exposure. Bees from single-drone inseminated colonies were exposed to alarm pheromone at the hive entrance and collected 1h after exposure for analysis.
Project description:Background:Wing venation is used as a tool in honeybee (Apis mellifera L., 1758) subspecies identification. The presented dataset concerns nineteen landmarks located at honeybee worker's forewing vein junctions. Landmarks of Apis mellifera caucasica Pollmann, 1889, A. mellifera carnica Pollmann, 1879 and A. mellifera mellifera Linnaeus, 1758, their hybrids and backcrosses were measured. In total, data from 9590 wings were collected. The dataset could be used in geometric morphometric analysis, studies of degree of inheritance of morphological features and, after further development and supplementation with other local subspecies and hybrids, can contribute to in-depth evolutionary research on honeybees. New information:Baseline dataset for wing venation of hybrids and backcrosses of A. mellifera carnica, A. mellifera caucasica and A. mellifera mellifera.
Project description:The aim of this work was to extend the previous gene expression analysis of nurse and forager gene expression, but using the Apis oligo-array designed from the recently sequenced genome. This study included 28000 features which included ~11000 predicted genes. The intial study was done using a microarray design based on PCR products of 5500 features derived from an expressed sequence tag analysis of a brain cDNA library. The variables studied were age (young and old), cast (nurse and forager) and differential gene expression.