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https://dx.doi.org/10.5451/uni...
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Daphnia magna transcriptome by RNA-Seq across 12 environmental stressors

Authors: Orsini, Luisa; Gilbert, Donald; Podicheti, Ram; Jansen, Mieke; Brown, James B.; Solari, Omid Shams; Spanier, Katina; +16 Authors

Daphnia magna transcriptome by RNA-Seq across 12 environmental stressors

Abstract

AbstractThe full exploration of gene-environment interactions requires model organisms with well-characterized ecological interactions in their natural environment, manipulability in the laboratory and genomic tools. The waterfleaDaphnia magnais an established ecological and toxicological model species, central to the food webs of freshwater lentic habitats and sentinel for water quality. Its tractability and cyclic parthenogenetic life-cycle are ideal to investigate links between genes and the environment. Capitalizing on this unique model system, the STRESSFLEA consortium generated a comprehensive RNA-Seq data set by exposing two inbred genotypes ofD. magnaand a recombinant cross of these genotypes to a range of environmental perturbations. Gene models were constructed from the transcriptome data and mapped onto the draft genome ofD. magnausing EvidentialGene. The transcriptome data generated here, together with the available draft genome sequence ofD. magnaand a high-density genetic map will be a key asset for future investigations in environmental genomics.

Countries
Switzerland, United States, United Kingdom, Belgium, Belgium, Finland
Keywords

Statistics and Probability, 570, Data Descriptor, DATABASE, Bioinformatics and Computational Biology, Library and Information Sciences, Microbiology, Education, Databases, Genetic, Databases, Genetic, Genetics, FUNCTIONAL GENOMICS, Animals, ECOSYSTEMS DAPHNIA, ADAPTATION, Science & Technology, Genome, Base Sequence, Prevention, Human Genome, Biology and Life Sciences, Biological Sciences, Corrigenda, Computer Science Applications, Multidisciplinary Sciences, MODEL, ALIGNMENT, Daphnia, Genetics, developmental biology, physiology, ZOOPLANKTON, MAP, Science & Technology - Other Topics, RNA, Gene-Environment Interaction, Statistics, Probability and Uncertainty, Transcriptome, Biotechnology, RESPONSES, Information Systems

  • BIP!
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    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    104
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 1%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 1%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
104
Top 1%
Top 10%
Top 1%
Green
gold