GEO DataSets

(Submitter supplied) Background: Differences in levels of gene expression among individuals are an important source of phenotypic variation within populations. Recent microarray studies have revealed that expression variation is abundant in many species, including Drosophila melanogaster. However, previous expression surveys in this species generally focused on a small number of laboratory strains established from derived populations. more...

Organism:

Drosophila melanogaster

Type:

Expression profiling by array

Platform:

GPL3830

80 Samples

Download data: GPR

(Submitter supplied) To investigate the effect of sex on within- and between-population variation in gene expression, we performed a microarray analysis of adult females from 16 strains of Drosophila melanogaster, including eight strains from the putative ancestral range in sub-Saharan Africa and eight strains from a European population. The results were compared to those of a previous study of adult male gene expression variation among the same strains (GSE8843).

Organism:

Drosophila melanogaster

Type:

Expression profiling by array

Platform:

GPL3603

56 Samples

Download data: GPR

(Submitter supplied) Background: Changes in gene regulation are thought to be crucial for the adaptation of organisms to their environment. Transcriptome analyses can be used to identify candidate genes for ecological adaptation, but can be complicated by variation in gene expression between tissues, sexes, or individuals. Here we use high-throughput RNA sequencing of a single Drosophila melanogaster tissue to detect brain-specific differences in gene expression between the sexes and between two populations, one from the ancestral species range in sub-Saharan Africa and one from the recently colonized species range in Europe. more...

Organism:

Drosophila melanogaster

Type:

Expression profiling by high throughput sequencing

Platform:

GPL13304

8 Samples

Download data: TXT

(Submitter supplied) The comparison of transcriptome profiles among populations is a powerful tool for investigating the role of gene expression change in adaptation to new environments. In this study, we use massively parallel sequencing of 39 cDNAs obtained from large samples of adult males, to compare a population of Drosophila simulans from a natural reserve within its ancestral range (eastern Africa) with a derived population collected in the strongly anthropized Rhone valley (France). more...

Organism:

Drosophila simulans

Type:

Expression profiling by high throughput sequencing

Platform:

GPL17484

4 Samples

Download data: TXT

(Submitter supplied) We used RNA-seq to investigate gene expression variation in Malpighian tubules, which have a function analogous to that of human kidneys. In order to characterize population differentiation, we sequenced the Malpighian tubule transcriptomes of flies derived from two populations, one from sub-Saharan Africa (Zimbabwe) and one from Europe (the Netherlands). Males and females were examined separately. Overall, we found a high amount of differential expression between sexes (2,308 genes) and populations (2,474 genes). Although most of the differentially expressed genes were consistent between sexes and populations, there were 615 genes showed sex-biased expression in only one population and 557 genes showed population-biased expression in only one sex.

Organism:

Drosophila melanogaster

Type:

Expression profiling by high throughput sequencing

Platform:

GPL13304

8 Samples

Download data: TXT

(Submitter supplied) Wild-type laboratory strains of model organisms are typically kept in isolation for many years, with the action of genetic drift and selection on mutational variation causing lineages to diverge with time. Natural populations from which such strains are established, show that gender-specific interactions in particular drive many aspects of sequence level and transcriptional level variation. Here, our goal was to identify genes that display transcriptional variation between laboratory strains of Drosophila melanogaster, and to explore evidence of gender-biased interactions underlying that variability. more...

Organism:

Drosophila melanogaster

Type:

Expression profiling by array

Dataset:

GDS3639

Platform:

GPL72

29 Samples

Download data: CEL

Analysis of male and female flies of 5 wild-type laboratory strains. Results provide insight into the extent to which transcriptional variation is inherent in commonly used laboratory strains and the relationship of variation in gene expression to sexual dimorphism.

Organism:

Drosophila melanogaster

Type:

Expression profiling by array, transformed count, 2 gender, 5 strain sets

Platform:

GPL72

Series:

GSE9149

29 Samples

Download data: CEL

(Submitter supplied) We used RNA-seq to examine coding and non-coding gene expression variation in the larval fat body of an ancestral African and a derived European Drosophila melanogaster population across three developmental stages spanning ten hours of larval development.

Organism:

Drosophila melanogaster

Type:

Expression profiling by high throughput sequencing

Platform:

GPL17275

18 Samples

Download data: TSV

(Submitter supplied) We used RNA-seq in a derived European Drosophila melanogaster population from Germany (MU) to examine coding gene expression variation in the larval fat body during the late wandering third instar stage.

Organism:

Drosophila melanogaster

Type:

Expression profiling by high throughput sequencing

Platform:

GPL17275

11 Samples

Download data: TSV

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.

Organism:

Drosophila melanogaster

Type:

Expression profiling by high throughput sequencing

Platform:

GPL17275

29 Samples

Download data

(Submitter supplied) Transcriptome analysis may provide means to investigate the underlying genetic causes of shared and divergent phenotypes in different populations and help to identify potential targets of adaptive evolution. Applying RNA sequencing to whole male Drosophila melanogaster from the ancestral tropical African environment and a very recently colonized cold-temperate European environment at both standard laboratory conditions and following a cold shock, we seek to uncover the transcriptional basis of cold adaptation. more...

Organism:

Drosophila melanogaster

Type:

Expression profiling by high throughput sequencing

Platform:

GPL13304

64 Samples

Download data: TXT

(Submitter supplied) Co-expression of genes that physically cluster together is a common characteristic of eukaryotic transcriptomes. Identifying these groups of co-expressed genes is important to the functional annotation of genomes and understanding the evolutionary fates of the clustered genes. We used microarrays to measure gene expression in seven closely related Drosophila species, to identify domains clusters within a species of Drosophila (D. more...

Organism:

Drosophila melanogaster; Drosophila simulans; Drosophila yakuba; Drosophila santomea; Drosophila sechellia; Drosophila teissieri; Drosophila mauritiana

Type:

Expression profiling by array

Platform:

GPL72

48 Samples

Download data: CEL

(Submitter supplied) Broadly distributed species must cope with diverse and changing environmental conditions, including various forms of stress. Cosmopolitan populations of Drosophila melanogaster are more tolerant to oxidative stress than those from the species’ ancestral range in sub-Saharan Africa, and the degree of tolerance is associated with an insertion/deletion polymorphism in the 3’ untranslated region of the Metallothionein A (MtnA) gene that varies clinally in frequency. more...

Organism:

Drosophila melanogaster

Type:

Expression profiling by high throughput sequencing

Platform:

GPL25244

48 Samples

Download data: CSV

(Submitter supplied) Even after decades of living in the same laboratory environment two Drosophila melanogaster strains originating from North America (Canton-S) and Central Russia (D18) demonstrate a few differentially expressed genes some of which may be important for local adaptation (e.g. genes responsible for insecticide resistance). Genes with different level of expression between Canton-S and D18 strains belong to important metabolic pathways, for instance energy metabolism, carbohydrate metabolic process, locomotion, body temperature rhythm regulation and tracheal network architecture. more...

Organism:

Drosophila melanogaster

Type:

Expression profiling by array

Platform:

GPL1322

6 Samples

Download data: CEL, CHP