Evidence map›Paper›PMID 25429004›Full record

ArticleMolecular biology and evolution2015

The evolution and adaptive potential of transcriptional variation in sticklebacks--signatures of selection and widespread heritability.

Erica H Leder, R J Scott McCairns, Tuomas Leinonen, José M Cano, Heidi M Viitaniemi, Mikko Nikinmaa, Craig R Primmer, Juha Merilä

Open access · hybridAbstract read
In one paragraph

Article in Molecular biology and evolution, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed
5.1field-weighted citation impact, top 4% of its field
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

35 citing papers in PubMed, 94 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Examining adaptive evolution of immune activity: opportunities provided by gastropods in the age of 'omics'.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2021
    Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 3 institutions in 2 countries.

Erica H LederDivision of Genetics and Physiology, Department of Biology, University of Turku, Turku, Finland.
R J Scott McCairnsEcological Genetics Research Unit, Department of Biosciences, University of Helsinki, Helsinki, Finland scott.mccairns@helsinki.fi.
Tuomas LeinonenEcological Genetics Research Unit, Department of Biosciences, University of Helsinki, Helsinki, Finland.
José M CanoResearch Unit of Biodiversity (UO-CSIC-PA), University of Oviedo, Mieres, Spain.
Heidi M ViitaniemiDivision of Genetics and Physiology, Department of Biology, University of Turku, Turku, Finland.
Mikko NikinmaaDivision of Genetics and Physiology, Department of Biology, University of Turku, Turku, Finland.
Craig R PrimmerDivision of Genetics and Physiology, Department of Biology, University of Turku, Turku, Finland.
Juha MeriläEcological Genetics Research Unit, Department of Biosciences, University of Helsinki, Helsinki, Finland.
University of Turku · FIUniversity of Helsinki · FIUniversidad de Oviedo · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Evidence implicating differential gene expression as a significant driver of evolutionary novelty continues to accumulate, but our understanding of the underlying sources of variation in expression, both environmental and genetic, is wanting. Heritability in particular may be underestimated when inferred from genetic mapping studies, the predominant "genetical genomics" approach to the study of expression variation. Such uncertainty represents a fundamental limitation to testing for adaptive evolution at the transcriptomic level. By studying the inheritance of expression levels in 10,495 genes (10,527 splice variants) in a threespine stickleback pedigree consisting of 563 individuals, half of which were subjected to a thermal treatment, we show that 74-98% of transcripts exhibit significant additive genetic variance. Dominance variance is also prevalent (41-99% of transcripts), and genetic sources of variation seem to play a more significant role in expression variance in the liver than a key environmental variable, temperature. Among-population comparisons suggest that the majority of differential expression in the liver is likely due to neutral divergence; however, we also show that signatures of directional selection may be more prevalent than those of stabilizing selection. This predominantly aligns with the neutral model of evolution for gene expression but also suggests that natural selection may still act on transcriptional variation in the wild. As genetic variation both within- and among-populations ultimately defines adaptive potential, these results indicate that broad adaptive potential may be found within the transcriptome.

Indexed as

Evolution, MolecularAnimalsFemaleFish ProteinsGene Expression ProfilingGene Expression RegulationMaleSelection, GeneticSmegmamorphaTranscriptomeFish ProteinsGasterosteus aculeatusgene expressionmicroarrayQSTquantitative geneticstranscriptome

Identifiers

PMID25429004
PMCPMC4327155
OpenAlexW2112894905

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.