Evidence map›Paper›PMID 25735594›Full record

ReviewHeredity2015

The environmental genomics of metazoan thermal adaptation.

D Porcelli, R K Butlin, K J Gaston, D Joly, R R Snook

Abstract readReview
In one paragraph

Review in Heredity, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing 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

29 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Experimental Evolution in a Warming World: The Omics Era.Molecular biology and evolution · 2024
    Review
  5. Article
  6. Article
  7. Article
  8. High-Quality Chromosome-Level Genome Assembly of the Corsac Fox (International journal of molecular sciences · 2023
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Adaptation to climate change through genetic accommodation and assimilation of plastic phenotypes.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2019
    Review
  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

5 authors.

D PorcelliDepartment of Animal and Plant Sciences, University of Sheffield, Sheffield, UK.
R K Butlin1] Department of Animal and Plant Sciences, University of Sheffield, Sheffield, UK [2] Sven Lovén Centre-Tjärnö, University of Gothenburg, Strömstad, Sweden.
K J GastonEnvironment and Sustainability Institute, University of Exeter, Penryn, UK.
D Joly1] Laboratoire Evolution, Génomes et Spéciation, CNRS-UPR 9034, Gif sur Yvette, France [2] Université Paris-Sud, Orsay, France.
R R SnookDepartment of Animal and Plant Sciences, University of Sheffield, Sheffield, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Continued and accelerating change in the thermal environment places an ever-greater priority on understanding how organisms are going to respond. The paradigm of 'move, adapt or die', regarding ways in which organisms can respond to environmental stressors, stimulates intense efforts to predict the future of biodiversity. Assuming that extinction is an unpalatable outcome, researchers have focussed attention on how organisms can shift in their distribution to stay in the same thermal conditions or can stay in the same place by adapting to a changing thermal environment. How likely these respective outcomes might be depends on the answer to a fundamental evolutionary question, namely what genetic changes underpin adaptation to the thermal environment. The increasing access to and decreasing costs of next-generation sequencing (NGS) technologies, which can be applied to both model and non-model systems, provide a much-needed tool for understanding thermal adaptation. Here we consider broadly what is already known from non-NGS studies about thermal adaptation, then discuss the benefits and challenges of different NGS methodologies to add to this knowledge base. We then review published NGS genomics and transcriptomics studies of thermal adaptation to heat stress in metazoans and compare these results with previous non-NGS patterns. We conclude by summarising emerging patterns of genetic response and discussing future directions using these increasingly common techniques.

Indexed as

Biological EvolutionHigh-Throughput Nucleotide SequencingTemperatureAdaptation, PhysiologicalAnimalsGene Expression ProfilingGenomicsGenotypePhenotypeStress, Physiological

Identifiers

PMID25735594
PMCPMC4815515

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.