Melitaea cinxia
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA207303 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Glanville fritillary larvae from three larval families (full-sib) exposed to alternative temperature treatments during final instar stage.
| PRJNA147371 | ENA
Project description:Melitaea cinxia Genome sequencing and assembly
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Project description:Melitaea cinxia Genome sequencing and assembly
| PRJNA191594 | ENA
Project description:Dispersal, flight metabolism and gene expression in the Glanville fritillary butterfly
| PRJNA208409 | ENA
Project description:A medium sized orange, black and white "checkerspot" butterfly inhabiting open meadows
| PRJNA21029 | ENA
Project description:We have compared allelic and gene expression variation using individual-based RNA-seq data from four regional populations of the Glanville fritillary butterfly (Melitaea cinxia) in northern Europe. Two of the populations represent fragmented habitat and two continuous habitat. Based on sequence information, we constructed genealogy for four populations. Based on gene expression, we found 1841 genes to be differentially expressed between two different landscape types. Our results demonstrate genomic adaptations to living in fragmented landscapes, which are likely to be related to phenotypic life-history adaptations that have been documented for many species.
2014-07-04 | GSE47692 | GEO
Project description:We have compared allelic and gene expression variation using individual-based RNA-seq data from four regional populations of the Glanville fritillary butterfly (Melitaea cinxia) in northern Europe. Two of the populations represent fragmented habitat and two continuous habitat. Based on sequence information, we constructed genealogy for four populations. Based on gene expression, we found 1841 genes to be differentially expressed between two different landscape types. Our results demonstrate genomic adaptations to living in fragmented landscapes, which are likely to be related to phenotypic life-history adaptations that have been documented for many species. RNA-seq from thorax, 174 individuals from four populations.
2014-07-04 | E-GEOD-47692 | biostudies-arrayexpress
Project description: Not available
| S-EPMC4962976 | biostudies-literature
Project description:In Arabidopsis thaliana a high rate of spontaneous epigenetic variation can occur in the DNA methylome in the absence of genetic variation and selection. It has been of great interest, whether natural epigenetic variation is subject to selection and contributes to fitness and adaptation in selective environments. We compared the variation in selected phenotypic traits, genome-wide cytosine DNA methylation and gene expression in two Arabidopsis recombinant inbred lines, which had undergone five generations of selection in experimental landscapes relative to their genetically identical ancestors. Selected populations exerted significant differences in flowering time and the number of branches and fruits, differences that were maintained over two to three generations in the absence of selection. We identified 4,629 and 5,158 differentially methylated cytosines which were overrepresented in genes that regulate flowering time, epigenetic processes, development and morphogenesis. Differentially methylated genes were enriched in differentially expressed genes. Thus, epigenetic variation is subject to selection and may play an important role in the adaptive response of populations in rapidly changing natural environments. Genomic DNA was extracted from whole-plant above-ground tissue of individual 25-day-old plants with the Qiagen DNeasy kit (Qiagen). DNA from two randomly chosen CVL39 individuals from ancestral (A3) lines and from 7 selected (S3) lines that had experienced 5 generations of selection in the three replicated dynamic landscapes (2xD1, 3xD5,2xD6) was sequenced (paired-end, 100 bp) using the Illumina Highseq 2000 Instrument. Single nucleotide polymorphisms and TE insertions were mapped with respect to the recombinant reference genome and compared between selected and ancestral lines.
2014-09-01 | E-GEOD-47490 | biostudies-arrayexpress