Evidence map›Paper›PMID 28746735›Full record

ArticleMolecular ecology2018

Early transcriptional response pathways in Daphnia magna are coordinated in networks of crustacean-specific genes.

Luisa Orsini, James B Brown, Omid Shams Solari, Dong Li, Shan He, Ram Podicheti, Marcus H Stoiber, Katina I Spanier, Donald Gilbert, Mieke Jansen and 8 more

Abstract read
In one paragraph

Article in Molecular ecology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

23 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Environmental science & technology · 2022
    Review
  9. Review
  10. Article
  11. Article
  12. Article
  13. Genomic regions associated with adaptation to predation inProceedings. Biological sciences · 2021
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

18 authors.

Luisa OrsiniEnvironmental Genomics Group, School of Biosciences, University of Birmingham Edgbaston, Birmingham, UK.ORCID 0000-0002-1716-5624
James B BrownEnvironmental Bioinformatics, Centre for Computational Biology, School of Biosciences, University of Birmingham Edgbaston, Birmingham, UK.
Omid Shams SolariStatistics Department, University of California, Berkeley, CA, USA.
Dong LiSchool of Computer Science, University of Birmingham Edgbaston, Birmingham, UK.
Shan HeSchool of Computer Science, University of Birmingham Edgbaston, Birmingham, UK.
Ram PodichetiSchool of Informatics and Computing, Indiana University, Bloomington, IN, USA.
Marcus H StoiberDepartment of Molecular Ecosystems Biology, Lawrence Berkeley National Laboratory, Berkeley, CA, USA.
Katina I SpanierLaboratory of Aquatic Ecology, Evolution and Conservation, KU Leuven, Leuven, Belgium.
Donald GilbertBiology Department, Indiana University, Bloomington, IN, USA.
Mieke JansenLaboratory of Aquatic Ecology, Evolution and Conservation, KU Leuven, Leuven, Belgium.
Douglas B RuschCenter for Genomics and Bioinformatics, Indiana University, School of Informatics and Computing, Indiana University, Bloomington, IN, USA.
Michael E PfrenderDepartment of Biological Sciences, Eck Institute for Global Health & Environmental Change Initiative, Galvin Life Science Center, Notre Dame, IN, USA.
John K ColbourneEnvironmental Genomics Group, School of Biosciences, University of Birmingham Edgbaston, Birmingham, UK.
Mikko J FrilanderInstitute of Biotechnology, University of Helsinki, Helsinki, Finland.
Jouni KvistInstitute of Biotechnology, University of Helsinki, Helsinki, Finland.
Ellen DecaesteckerAquatic Biology, Interdisciplinary Research Facility Life Sciences KU Leuven Campus Kortrijk, Kortrijk, Belgium.
Karel A C De SchamphelaereLaboratory of Environmental Toxicology and Aquatic Ecology, GhEnToxLab, Ghent University, Ghent, Belgium.
Luc De MeesterLaboratory of Aquatic Ecology, Evolution and Conservation, KU Leuven, Leuven, Belgium.

Funding

Daphnia Functional Genomics ResourceR24GM078274 · NIGMS · UTAH STATE UNIVERSITY · PI PFRENDER, MICHAEL EUGENE · 2007 to 2010
$1.4M
Nonparametric methods for functional and translational genomicsR00HG006698 · NHGRI · UNIVERSITY OF CALIF-LAWRENC BERKELEY LAB · PI BROWN, JAMES BENTLEY · 2014 to 2016
$747k
NHGRI NIH HHS R00 HG006698NIGMS NIH HHS R24 GM078274
6 · The paper itself

Abstract

Natural habitats are exposed to an increasing number of environmental stressors that cause important ecological consequences. However, the multifarious nature of environmental change, the strength and the relative timing of each stressor largely limit our understanding of biological responses to environmental change. In particular, early response to unpredictable environmental change, critical to survival and fitness in later life stages, is largely uncharacterized. Here, we characterize the early transcriptional response of the keystone species Daphnia magna to twelve environmental perturbations, including biotic and abiotic stressors. We first perform a differential expression analysis aimed at identifying differential regulation of individual genes in response to stress. This preliminary analysis revealed that a few individual genes were responsive to environmental perturbations and they were modulated in a stressor and genotype-specific manner. Given the limited number of differentially regulated genes, we were unable to identify pathways involved in stress response. Hence, to gain a better understanding of the genetic and functional foundation of tolerance to multiple environmental stressors, we leveraged the correlative nature of networks and performed a weighted gene co-expression network analysis. We discovered that approximately one-third of the Daphnia genes, enriched for metabolism, cell signalling and general stress response, drives transcriptional early response to environmental stress and it is shared among genetic backgrounds. This initial response is followed by a genotype- and/or condition-specific transcriptional response with a strong genotype-by-environment interaction. Intriguingly, genotype- and condition-specific transcriptional response is found in genes not conserved beyond crustaceans, suggesting niche-specific adaptation.

Indexed as

Gene Regulatory NetworksTranscription, GeneticAnimalsConserved SequenceDaphniaGene Expression RegulationGenomeGenotypeMultigene Familyabiotic stressorsbiotic stressorsdifferential co-expression networksdifferential gene expressionecological gene annotationecoresponsive geneswaterflea

Identifiers

PMID28746735
PMCPMC5785571

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.