26 research outputs found
On the relevance of technical variation due to building pools in microarray experiments
Background Pooled samples are frequently used in experiments measuring gene
expression. In this method, RNA from different individuals sharing the same
experimental conditions and explanatory variables is blended and their
concentrations are jointly measured. As a matter of principle, individuals are
represented in equal shares in each pool. However, some degree of
disproportionality may arise from the limits of technical precision. As a
consequence a special kind of technical error occurs, which can be modelled by
a respective variance component. Previously published theory - allowing for
variable pool sizes - has been applied to four microarray gene expression data
sets from different species in order to assess the practical relevance of this
type of technical error in terms of significance and size of this variance
component. Results The number of transcripts with a significant variance
component due to imperfect blending was found to be 4329 (23 %) in mouse data
and 7093 (49 %) in honey bees, but only 6 in rats and none whatsoever in human
data. These results correspond to a false discovery rate of 5 % in each data
set. The number of transcripts found to be differentially expressed between
treatments was always higher when the blending error variance was neglected.
Simulations clearly indicated overly-optimistic (anti-conservative) test
results in terms of false discovery rates whenever this source of variability
was not represented in the model. Conclusions Imperfect equality of shares
when blending RNA from different individuals into joint pools of variable size
is a source of technical variation with relevance for experimental design,
practice at the laboratory bench and data analysis. Its potentially adverse
effects, incorrect identification of differentially expressed transcripts and
overly-optimistic significance tests, can be fully avoided, however, by the
sound application of recently established theory and models for data analysis
Witches, pagans and historians:an extended review of Max Dashu, <i>Witches and Pagans: Women in European Folk Religion, 700-1000 </i>
Additional file 4: Table S4. DEGs associated with the HB sources but not with the behavior. A modified t-test was performed on the log-transformed transcription ratios gained from 82 hybridizations. Oligo Ids, Gene Ids, and Comments are quoted from the UIUC Honey bee oligo 13 K v1 annotation file (May 2007)
The genomes of two key bumblebee species with primitive eusocial organization
Background: The shift from solitary to social behavior is one of the major evolutionary transitions. Primitively eusocial bumblebees are uniquely placed to illuminate the evolution of highly eusocial insect societies. Bumblebees are also invaluable natural and agricultural pollinators, and there is widespread concern over recent population declines in some species. High-quality genomic data will inform key aspects of bumblebee biology, including susceptibility to implicated population viability threats. Results: We report the high quality draft genome sequences of Bombus terrestris and Bombus impatiens, two ecologically dominant bumblebees and widely utilized study species. Comparing these new genomes to those of the highly eusocial honeybee Apis mellifera and other Hymenoptera, we identify deeply conserved similarities, as well as novelties key to the biology of these organisms. Some honeybee genome features thought to underpin advanced eusociality are also present in bumblebees, indicating an earlier evolution in the bee lineage. Xenobiotic detoxification and immune genes are similarly depauperate in bumblebees and honeybees, and multiple categories of genes linked to social organization, including development and behavior, show high conservation. Key differences identified include a bias in bumblebee chemoreception towards gustation from olfaction, and striking differences in microRNAs, potentially responsible for gene regulation underlying social and other traits. Conclusions: These two bumblebee genomes provide a foundation for post-genomic research on these key pollinators and insect societies. Overall, gene repertoires suggest that the route to advanced eusociality in bees was mediated by many small changes in many genes and processes, and not by notable expansion or depauperation
On the relevance of technical variation due to building pools in microarray experiments
Mixing of Honeybees with Different Genotypes Affects Individual Worker Behavior and Transcription of Genes in the Neuronal Substrate
Division of labor in social insects has made the evolution of collective traits possible that cannot be achieved by individuals alone. Differences in behavioral responses produce variation in engagement in behavioral tasks, which as a consequence, generates a division of labor. We still have little understanding of the genetic components influencing these behaviors, although several candidate genomic regions and genes influencing individual behavior have been identified. Here, we report that mixing of worker honeybees with different genotypes influences the expression of individual worker behaviors and the transcription of genes in the neuronal substrate. These indirect genetic effects arise in a colony because numerous interactions between workers produce interacting phenotypes and genotypes across organisms. We studied hygienic behavior of honeybee workers, which involves the cleaning of diseased brood cells in the colony. We mixed ∼500 newly emerged honeybee workers with genotypes of preferred Low (L) and High (H) hygienic behaviors. The L/H genotypic mixing affected the behavioral engagement of L worker bees in a hygienic task, the cooperation among workers in uncapping single brood cells, and switching between hygienic tasks. We found no evidence that recruiting and task-related stimuli are the primary source of the indirect genetic effects on behavior. We suggested that behavioral responsiveness of L bees was affected by genotypic mixing and found evidence for changes in the brain in terms of 943 differently expressed genes. The functional categories of cell adhesion, cellular component organization, anatomical structure development, protein localization, developmental growth and cell morphogenesis were overrepresented in this set of 943 genes, suggesting that indirect genetic effects can play a role in modulating and modifying the neuronal substrate. Our results suggest that genotypes of social partners affect the behavioral responsiveness and the neuronal substrate of individual workers, indicating a complex genetic architecture underlying the expression of behavior
Sex Determination in Honeybees: Two Separate Mechanisms Induce and Maintain the Female Pathway
Sex determination in honeybees is realized by the csd and the fem gene that establish and maintain, throughout development, sexual fates via the control of alternative splicing